xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

abb5e98762102a68f6572ca79ebf088c7dd9b6c6

355

py

Python

beacon_controller/__init__.py

NCATS-Tangerine/translator-knowledge-beacon

e0e36c2a6e77e998812e132838e62f8d1b154c88

[ "MIT" ]

6

2017-06-16T19:33:39.000Z

2021-05-31T19:41:28.000Z

beacon_controller/__init__.py

NCATS-Tangerine/translator-knowledge-beacon

e0e36c2a6e77e998812e132838e62f8d1b154c88

[ "MIT" ]

51

2017-05-22T15:55:21.000Z

2021-06-08T00:11:24.000Z

beacon_controller/__init__.py

NCATS-Tangerine/translator-knowledge-beacon

e0e36c2a6e77e998812e132838e62f8d1b154c88

[ "MIT" ]

2

2018-03-01T22:18:09.000Z

2018-09-29T18:37:44.000Z

from config import config from . import biolink_model from .concepts_controller import get_concept_details, get_concepts, get_exact_matches_to_concept_list from .statements_controller import get_statement_details, get_statements from .metadata_controller import get_concept_categories, get_knowledge_map, get_predicates from .main_controller import main

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25,010

py

Python

src/sdk/python/OsduClient/api/search_api.py

mstest123/self-managed-osdu_from_Daniel

10a0c1d25804caa920bf18c6c7c1d8e711c63756

[ "MIT" ]

3

2021-11-05T20:52:54.000Z

2021-11-23T23:02:29.000Z

src/sdk/python/OsduClient/api/search_api.py

mstest123/self-managed-osdu_from_Daniel

10a0c1d25804caa920bf18c6c7c1d8e711c63756

[ "MIT" ]

4

2021-11-05T19:57:08.000Z

2021-12-14T13:59:04.000Z

src/sdk/python/OsduClient/api/search_api.py

mstest123/self-managed-osdu_from_Daniel

10a0c1d25804caa920bf18c6c7c1d8e711c63756

[ "MIT" ]

36

2021-08-31T20:58:25.000Z

2022-03-30T17:02:57.000Z

# coding: utf-8 """ self-managed-osdu Rest API Documentation for Self Managed OSDU # noqa: E501 OpenAPI spec version: 0.11.0 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 OsduClient.api_client import ApiClient class SearchApi(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 delete_index(self, osdu_account_id, kind, **kwargs): # noqa: E501 """Deletes all documents from index for given 'kind'. # noqa: E501 The API can be used to purge all indexed documents for a kind. Required access level to use this API is service.search.admin # 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_index(osdu_account_id, kind, async_req=True) >>> result = thread.get() :param async_req bool :param str osdu_account_id: Account ID is the active OSDU account (OSDU account or customer's account) which the users choose to use with the Search API. (required) :param str kind: Kind of the record. (required) :param str osdu_on_behalf_of: On behalf email or token is the token/email of the original user making the call. For now, only email is supported but eventually, primary usage will be token. :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.delete_index_with_http_info(osdu_account_id, kind, **kwargs) # noqa: E501 else: (data) = self.delete_index_with_http_info(osdu_account_id, kind, **kwargs) # noqa: E501 return data def delete_index_with_http_info(self, osdu_account_id, kind, **kwargs): # noqa: E501 """Deletes all documents from index for given 'kind'. # noqa: E501 The API can be used to purge all indexed documents for a kind. Required access level to use this API is service.search.admin # 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_index_with_http_info(osdu_account_id, kind, async_req=True) >>> result = thread.get() :param async_req bool :param str osdu_account_id: Account ID is the active OSDU account (OSDU account or customer's account) which the users choose to use with the Search API. (required) :param str kind: Kind of the record. (required) :param str osdu_on_behalf_of: On behalf email or token is the token/email of the original user making the call. For now, only email is supported but eventually, primary usage will be token. :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['osdu_account_id', 'kind', 'osdu_on_behalf_of'] # 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_index" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'osdu_account_id' is set if self.api_client.client_side_validation and ('osdu_account_id' not in params or params['osdu_account_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `osdu_account_id` when calling `delete_index`") # noqa: E501 # verify the required parameter 'kind' is set if self.api_client.client_side_validation and ('kind' not in params or params['kind'] is None): # noqa: E501 raise ValueError("Missing the required parameter `kind` when calling `delete_index`") # noqa: E501 collection_formats = {} path_params = {} if 'kind' in params: path_params['kind'] = params['kind'] # noqa: E501 query_params = [] header_params = {} if 'osdu_account_id' in params: header_params['OSDU-Account-Id'] = params['osdu_account_id'] # noqa: E501 if 'osdu_on_behalf_of' in params: header_params['OSDU-On-Behalf-Of'] = params['osdu_on_behalf_of'] # 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 = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/search/v2/index/{kind}', 'DELETE', 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_kind_schema(self, osdu_account_id, kind, **kwargs): # noqa: E501 """Returns the index schema for given 'kind'. # noqa: E501 The API returns the schema for a given kind which is used find what attributes are indexed and their respective data types (at index time). Required access levels to use this API are service.search.user, service.search.admin # 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_kind_schema(osdu_account_id, kind, async_req=True) >>> result = thread.get() :param async_req bool :param str osdu_account_id: Account ID is the active OSDU account (OSDU account or customer's account) which the users choose to use with the Search API. (required) :param str kind: Kind of the record. (required) :param str osdu_on_behalf_of: On behalf email or token is the token/email of the original user making the call. For now, only email is supported but eventually, primary usage will be token. :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_kind_schema_with_http_info(osdu_account_id, kind, **kwargs) # noqa: E501 else: (data) = self.get_kind_schema_with_http_info(osdu_account_id, kind, **kwargs) # noqa: E501 return data def get_kind_schema_with_http_info(self, osdu_account_id, kind, **kwargs): # noqa: E501 """Returns the index schema for given 'kind'. # noqa: E501 The API returns the schema for a given kind which is used find what attributes are indexed and their respective data types (at index time). Required access levels to use this API are service.search.user, service.search.admin # 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_kind_schema_with_http_info(osdu_account_id, kind, async_req=True) >>> result = thread.get() :param async_req bool :param str osdu_account_id: Account ID is the active OSDU account (OSDU account or customer's account) which the users choose to use with the Search API. (required) :param str kind: Kind of the record. (required) :param str osdu_on_behalf_of: On behalf email or token is the token/email of the original user making the call. For now, only email is supported but eventually, primary usage will be token. :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['osdu_account_id', 'kind', 'osdu_on_behalf_of'] # 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_kind_schema" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'osdu_account_id' is set if self.api_client.client_side_validation and ('osdu_account_id' not in params or params['osdu_account_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `osdu_account_id` when calling `get_kind_schema`") # noqa: E501 # verify the required parameter 'kind' is set if self.api_client.client_side_validation and ('kind' not in params or params['kind'] is None): # noqa: E501 raise ValueError("Missing the required parameter `kind` when calling `get_kind_schema`") # noqa: E501 collection_formats = {} path_params = {} if 'kind' in params: path_params['kind'] = params['kind'] # noqa: E501 query_params = [] header_params = {} if 'osdu_account_id' in params: header_params['OSDU-Account-Id'] = params['osdu_account_id'] # noqa: E501 if 'osdu_on_behalf_of' in params: header_params['OSDU-On-Behalf-Of'] = params['osdu_on_behalf_of'] # 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 = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/search/v2/index/schema/{kind}', '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 query_records(self, osdu_account_id, body, **kwargs): # noqa: E501 """Queries the index for the specified kind using the input query string. # noqa: E501 The API supports full text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search. Required access levels to use this API are service.search.user, service.search.admin. In addition, users must be a member of data groups to access the 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.query_records(osdu_account_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str osdu_account_id: Account ID is the active OSDU account (OSDU account or customer's account) which the users choose to use with the Search API. (required) :param SearchQueryRequest body: Specifies the API parameters. The only required parameter is the kind which needs to be formatted correctly. (required) :param str osdu_on_behalf_of: On behalf email or token is the token/email of the original user making the call. For now, only email is supported but eventually, primary usage will be token. :return: SearchQueryResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.query_records_with_http_info(osdu_account_id, body, **kwargs) # noqa: E501 else: (data) = self.query_records_with_http_info(osdu_account_id, body, **kwargs) # noqa: E501 return data def query_records_with_http_info(self, osdu_account_id, body, **kwargs): # noqa: E501 """Queries the index for the specified kind using the input query string. # noqa: E501 The API supports full text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search. Required access levels to use this API are service.search.user, service.search.admin. In addition, users must be a member of data groups to access the 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.query_records_with_http_info(osdu_account_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str osdu_account_id: Account ID is the active OSDU account (OSDU account or customer's account) which the users choose to use with the Search API. (required) :param SearchQueryRequest body: Specifies the API parameters. The only required parameter is the kind which needs to be formatted correctly. (required) :param str osdu_on_behalf_of: On behalf email or token is the token/email of the original user making the call. For now, only email is supported but eventually, primary usage will be token. :return: SearchQueryResponse If the method is called asynchronously, returns the request thread. """ all_params = ['osdu_account_id', 'body', 'osdu_on_behalf_of'] # 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 query_records" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'osdu_account_id' is set if self.api_client.client_side_validation and ('osdu_account_id' not in params or params['osdu_account_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `osdu_account_id` when calling `query_records`") # noqa: E501 # verify the required parameter 'body' is set if self.api_client.client_side_validation and ('body' not in params or params['body'] is None): # noqa: E501 raise ValueError("Missing the required parameter `body` when calling `query_records`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} if 'osdu_account_id' in params: header_params['OSDU-Account-Id'] = params['osdu_account_id'] # noqa: E501 if 'osdu_on_behalf_of' in params: header_params['OSDU-On-Behalf-Of'] = params['osdu_on_behalf_of'] # noqa: E501 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 # 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( '/api/search/v2/query', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SearchQueryResponse', # 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 query_with_cursor(self, osdu_account_id, body, **kwargs): # noqa: E501 """Query the index using cursor and optionally return only requested fields. # noqa: E501 The API supports full text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search. Required access levels to use this API are service.search.user, service.search.admin. In addition, users must be a member of data groups to access the data. It can be used to retrieve large numbers of results (or even all results) from a single search request, in much the same way as you would use a cursor on a traditional database. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.query_with_cursor(osdu_account_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str osdu_account_id: Account ID is the active OSDU account (OSDU account or customer's account) which the users choose to use with the Search API. (required) :param SearchCursorQueryRequest body: Specifies the API parameters. The only required parameter is the kind which needs to be formatted correctly. (required) :param str osdu_on_behalf_of: On behalf email or token is the token/email of the original user making the call. For now, only email is supported but eventually, primary usage will be token. :return: SearchCursorQueryResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.query_with_cursor_with_http_info(osdu_account_id, body, **kwargs) # noqa: E501 else: (data) = self.query_with_cursor_with_http_info(osdu_account_id, body, **kwargs) # noqa: E501 return data def query_with_cursor_with_http_info(self, osdu_account_id, body, **kwargs): # noqa: E501 """Query the index using cursor and optionally return only requested fields. # noqa: E501 The API supports full text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search. Required access levels to use this API are service.search.user, service.search.admin. In addition, users must be a member of data groups to access the data. It can be used to retrieve large numbers of results (or even all results) from a single search request, in much the same way as you would use a cursor on a traditional database. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.query_with_cursor_with_http_info(osdu_account_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str osdu_account_id: Account ID is the active OSDU account (OSDU account or customer's account) which the users choose to use with the Search API. (required) :param SearchCursorQueryRequest body: Specifies the API parameters. The only required parameter is the kind which needs to be formatted correctly. (required) :param str osdu_on_behalf_of: On behalf email or token is the token/email of the original user making the call. For now, only email is supported but eventually, primary usage will be token. :return: SearchCursorQueryResponse If the method is called asynchronously, returns the request thread. """ all_params = ['osdu_account_id', 'body', 'osdu_on_behalf_of'] # 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 query_with_cursor" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'osdu_account_id' is set if self.api_client.client_side_validation and ('osdu_account_id' not in params or params['osdu_account_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `osdu_account_id` when calling `query_with_cursor`") # noqa: E501 # verify the required parameter 'body' is set if self.api_client.client_side_validation and ('body' not in params or params['body'] is None): # noqa: E501 raise ValueError("Missing the required parameter `body` when calling `query_with_cursor`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} if 'osdu_account_id' in params: header_params['OSDU-Account-Id'] = params['osdu_account_id'] # noqa: E501 if 'osdu_on_behalf_of' in params: header_params['OSDU-On-Behalf-Of'] = params['osdu_on_behalf_of'] # noqa: E501 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 # 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( '/api/search/v2/query_with_cursor', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SearchCursorQueryResponse', # 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)

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e999855643fed2f87a51356c3311801b86dada85

123

py

Python

newtonnet/data/__init__.py

THGLab/NewtonNet

fcf2af848a1c998bd08096dcefb58a5610eda03c

[ "MIT" ]

null

newtonnet/data/__init__.py

THGLab/NewtonNet

fcf2af848a1c998bd08096dcefb58a5610eda03c

[ "MIT" ]

null

newtonnet/data/__init__.py

THGLab/NewtonNet

fcf2af848a1c998bd08096dcefb58a5610eda03c

[ "MIT" ]

null

""" """ from newtonnet.data.loader import * from newtonnet.data.neighbors import * from newtonnet.data.parse_raw import *

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75a44306a934709e7ac8ce197b175fc424814f9b

4,130

py

Python

phaedo/core/fields.py

utamaru-hiro/phaedo

f54030e7511521b7c1a063b158f2f1052681fedc

[ "MIT" ]

null

phaedo/core/fields.py

utamaru-hiro/phaedo

f54030e7511521b7c1a063b158f2f1052681fedc

[ "MIT" ]

null

phaedo/core/fields.py

utamaru-hiro/phaedo

f54030e7511521b7c1a063b158f2f1052681fedc

[ "MIT" ]

null

from typing import (Callable, Generic, Optional, Type, TypeVar, Union) from .validation import Validator, ValidationError from ._registry import DomainModelRegistry T = TypeVar('T') class Field(Generic[T]): def __init__( self, field_type: Union[str, Type[T]], name: str = None, validators: list[Validator] = None, converter: Callable[[Optional[T]], T] = None, load=True, dump=True, default: T = None ) -> None: self._field_type = field_type self._name = name self._validators = validators self._converter = converter self._load = load self._dump = dump self._default = default self._attribute_name = None def set_attribute_name(self, attribute_name: str) -> None: self._attribute_name = attribute_name def get_attribute_name(self) -> str: return self._attribute_name def get_type(self) -> Type: if isinstance(self._field_type, str): return DomainModelRegistry.get(self._field_type) return self._field_type @staticmethod def is_list() -> bool: return False def can_load(self) -> bool: return self._load def can_dump(self) -> bool: return self._dump def default_value(self) -> Optional[T]: return self._default def __get__(self, obj, obj_type=None) -> T: return obj.__data__.get(self._attribute_name, None) def __set__(self, obj, value: Optional[T]) -> None: if self._validators is not None: key = self._name if self._name is not None else self._attribute_name for validator in self._validators: if not validator.validate(value): raise ValidationError(key, validator.message()) if self._converter is not None: obj.__data__[self._attribute_name] = self._converter(value) else: obj.__data__[self._attribute_name] = value class ListField(Generic[T]): def __init__( self, field_type: Union[str, Type[T]], name: str = None, validators: list[Validator] = None, converter: Callable[[Optional[T]], T] = None, load=True, dump=True, default: list[T] = None ) -> None: self._field_type = field_type self._name = name self._validators = validators self._converter = converter self._load = load self._dump = dump self._default = default self._attribute_name = None def set_attribute_name(self, attribute_name: str): self._attribute_name = attribute_name def get_attribute_name(self): return self._attribute_name def get_type(self) -> Type: if isinstance(self._field_type, str): return DomainModelRegistry.get(self._field_type) return self._field_type @staticmethod def is_list() -> bool: return True def can_load(self) -> bool: return self._load def can_dump(self) -> bool: return self._dump def default_value(self) -> Optional[list[T]]: return self._default def __get__(self, obj, obj_type=None) -> list[T]: return obj.__data__.get(self._attribute_name, None) def __set__(self, obj, value: Optional[list[T]]) -> None: attribute_value_list: list[T] = [] if value is not None: for element in value: if self._validators is not None: key = self._name if self._name is not None else self._attribute_name for validator in self._validators: if not validator.validate(value): raise ValidationError(key, validator.message()) if self._converter is not None: attribute_value_list.append(self._converter(element)) else: attribute_value_list.append(element) obj.__data__[self._attribute_name] = attribute_value_list

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1

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null

0

1

0

8

75bc1fb325fc6b1386f226f0e4407b357d712433

301

py

Python

spanet/network/jet_reconstruction/__init__.py

Alexanders101/SPANet

20731bb271b23f0746243e79203ff6b77556c852

[ "BSD-3-Clause" ]

13

2021-05-20T15:13:01.000Z

2021-11-24T22:12:45.000Z

spanet/network/jet_reconstruction/__init__.py

Alexanders101/SPANet

20731bb271b23f0746243e79203ff6b77556c852

[ "BSD-3-Clause" ]

null

spanet/network/jet_reconstruction/__init__.py

Alexanders101/SPANet

20731bb271b23f0746243e79203ff6b77556c852

[ "BSD-3-Clause" ]

7

2021-06-28T12:18:17.000Z

2022-01-27T20:05:06.000Z

from spanet.network.jet_reconstruction.jet_reconstruction_training import JetReconstructionTraining from spanet.network.jet_reconstruction.jet_reconstruction_validation import JetReconstructionValidation class JetReconstructionModel(JetReconstructionTraining, JetReconstructionValidation): pass

43

103

0.906977

25

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0

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1

0

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null

0

1

0

7

fb2f36c55ee709bbb12f57c7b9adb84785a45d5e

11,429

py

Python

tuta/trainers.py

PseudoLabs-Demo/TUTA_table_understanding

d0f3fe2f15c56a5ea9f593b210296f170fc74558

[ "MIT" ]

null

tuta/trainers.py

PseudoLabs-Demo/TUTA_table_understanding

d0f3fe2f15c56a5ea9f593b210296f170fc74558

[ "MIT" ]

null

tuta/trainers.py

PseudoLabs-Demo/TUTA_table_understanding

d0f3fe2f15c56a5ea9f593b210296f170fc74558

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Trainers for Pre-training Model Variants """ import time import torch from utils import save_model def train_base(args, gpu_id, rank, loader, model, optimizer, scheduler): model.train() start_time = time.time() total_loss = 0. total_mlm_loss, total_mlm_crt, total_mlm_cnt = 0., 0., 0. total_sep_loss, total_sep_crt, total_sep_cnt = 0., 0., 0. total_tok_loss, total_tok_crt, total_tok_cnt = 0., 0., 0. total_tcr_loss, total_tcr_crt, total_tcr_cnt = 0., 0., 0. total_rand_num, total_rand_den = 0., 0. steps = 1 total_steps = args.total_steps loader_iter = iter(loader) while True: if steps == total_steps + 1: break token_id, num_mag, num_pre, num_top, num_low, \ token_order, pos_top, pos_left, format_vec, indicator, \ mlm_label, clc_label, tcr_label = next(loader_iter) while (clc_label.size()[0] == 0) or (torch.min(clc_label) >= 0) or (torch.max(mlm_label) == -1): token_id, num_mag, num_pre, num_top, num_low, \ token_order, pos_top, pos_left, format_vec, indicator, \ mlm_label, clc_label, tcr_label = next(loader_iter) model.zero_grad() if gpu_id is not None: token_id = token_id.cuda(gpu_id) num_mag = num_mag.cuda(gpu_id) num_pre = num_pre.cuda(gpu_id) num_top = num_top.cuda(gpu_id) num_low = num_low.cuda(gpu_id) token_order = token_order.cuda(gpu_id) pos_top = pos_top.cuda(gpu_id) pos_left = pos_left.cuda(gpu_id) format_vec = format_vec.cuda(gpu_id) indicator = indicator.cuda(gpu_id) mlm_label = mlm_label.cuda(gpu_id) clc_label = clc_label.cuda(gpu_id) tcr_label = tcr_label.cuda(gpu_id) # forward mlm_triple, sep_triple, tok_triple, tcr_triple = model( token_id, num_mag, num_pre, num_top, num_low, token_order, pos_top, pos_left, format_vec, indicator, mlm_label, clc_label, tcr_label ) mlm_loss, mlm_crt, mlm_cnt = mlm_triple sep_loss, sep_crt, sep_cnt = sep_triple tok_loss, tok_crt, tok_cnt = tok_triple tcr_loss, tcr_crt, tcr_cnt = tcr_triple # backward loss = mlm_loss + (sep_loss + tok_loss) * args.clc_weight + tcr_loss loss.backward() optimizer.step() scheduler.step() total_mlm_loss += mlm_loss.item() total_mlm_crt += mlm_crt.item() total_mlm_cnt += mlm_cnt.item() total_sep_loss += sep_loss.item() total_sep_crt += sep_crt.item() total_sep_cnt += sep_cnt.item() total_tok_loss += tok_loss.item() total_tok_crt += tok_crt.item() total_tok_cnt += tok_cnt.item() rand_num = torch.sum((clc_label > 0).long(), dim=-1) rand_den = torch.sum(rand_num, dim=-1).item() // 2 rand_num = torch.sum((rand_num > 0).long(), dim=-1).item() total_rand_num += rand_num total_rand_den += rand_den total_tcr_loss += tcr_loss.item() total_tcr_crt += tcr_crt.item() total_tcr_cnt += tcr_cnt.item() total_loss = total_mlm_loss + \ (total_sep_loss + total_tok_loss) * \ args.clc_weight + total_tcr_loss if steps % args.report_steps == 0 and (not args.dist_train or (args.dist_train and rank == 0)): elapsed = time.time() - start_time done_tokens = \ args.batch_size * token_id.size(1) * args.report_steps * args.world_size \ if args.dist_train \ else args.batch_size * token_id.size(1) * args.report_steps print("| {:8d}/{:8d} steps" "| {:8.2f} tokens/s" "| total_loss {:7.2f}" "| mlm_loss {:7.2f}" "| mlm_acc {:.3f}" "| sep_loss {:7.2f}" "| sep_acc {:.3f}" "| tok_loss {:7.2f}" "| tok_acc {:.3f}" "| rand_acc {:.3f}" "| tcr_loss {:7.2f}" "| tcr_acc {:.3f}".format( steps, total_steps, done_tokens / elapsed, total_loss / args.report_steps, total_mlm_loss / args.report_steps, total_mlm_crt / total_mlm_cnt, total_sep_loss / args.report_steps, total_sep_crt / total_sep_cnt, total_tok_loss / args.report_steps, total_tok_crt / total_tok_cnt, total_rand_num / total_rand_den, total_tcr_loss / args.report_steps, total_tcr_crt / total_tcr_cnt)) total_loss = 0. total_mlm_loss, total_mlm_crt, total_mlm_cnt = 0., 0., 0. total_sep_loss, total_sep_crt, total_sep_cnt = 0., 0., 0. total_tok_loss, total_tok_crt, total_tok_cnt = 0., 0., 0. total_tcr_loss, total_tcr_crt, total_tcr_cnt = 0., 0., 0. total_rand_num, total_rand_den = 0., 0. start_time = time.time() if steps % args.save_checkpoint_steps == 0 and (not args.dist_train or (args.dist_train and rank == 0)): save_model(model, args.output_model_path + "-" + str(steps)) steps += 1 def train_tuta(args, gpu_id, rank, loader, model, optimizer, scheduler): model.train() start_time = time.time() total_loss = 0. total_mlm_loss, total_mlm_crt, total_mlm_cnt = 0., 0., 0. total_sep_loss, total_sep_crt, total_sep_cnt = 0., 0., 0. total_tok_loss, total_tok_crt, total_tok_cnt = 0., 0., 0. total_tcr_loss, total_tcr_crt, total_tcr_cnt = 0., 0., 0. total_rand_num, total_rand_den = 0., 0. steps = 1 total_steps = args.total_steps loader_iter = iter(loader) while True: if steps == total_steps + 1: break token_id, num_mag, num_pre, num_top, num_low, \ token_order, pos_row, pos_col, pos_top, pos_left, format_vec, indicator, \ mlm_label, clc_label, tcr_label = next(loader_iter) while (clc_label.size()[0] == 0) or (torch.min(clc_label) >= 0) or (torch.max(mlm_label) == -1): token_id, num_mag, num_pre, num_top, num_low, \ token_order, pos_row, pos_col, pos_top, pos_left, format_vec, indicator, \ mlm_label, clc_label, tcr_label = next(loader_iter) model.zero_grad() if gpu_id is not None: token_id = token_id.cuda(gpu_id) num_mag = num_mag.cuda(gpu_id) num_pre = num_pre.cuda(gpu_id) num_top = num_top.cuda(gpu_id) num_low = num_low.cuda(gpu_id) token_order = token_order.cuda(gpu_id) pos_row = pos_row.cuda(gpu_id) pos_col = pos_col.cuda(gpu_id) pos_top = pos_top.cuda(gpu_id) pos_left = pos_left.cuda(gpu_id) format_vec = format_vec.cuda(gpu_id) indicator = indicator.cuda(gpu_id) mlm_label = mlm_label.cuda(gpu_id) clc_label = clc_label.cuda(gpu_id) tcr_label = tcr_label.cuda(gpu_id) # forward mlm_triple, sep_triple, tok_triple, tcr_triple = model( token_id, num_mag, num_pre, num_top, num_low, token_order, pos_row, pos_col, pos_top, pos_left, format_vec, indicator, mlm_label, clc_label, tcr_label ) mlm_loss, mlm_crt, mlm_cnt = mlm_triple sep_loss, sep_crt, sep_cnt = sep_triple tok_loss, tok_crt, tok_cnt = tok_triple tcr_loss, tcr_crt, tcr_cnt = tcr_triple # backward loss = mlm_loss + (sep_loss + tok_loss) * args.clc_weight + tcr_loss loss.backward() optimizer.step() scheduler.step() total_mlm_loss += mlm_loss.item() total_mlm_crt += mlm_crt.item() total_mlm_cnt += mlm_cnt.item() total_sep_loss += sep_loss.item() total_sep_crt += sep_crt.item() total_sep_cnt += sep_cnt.item() total_tok_loss += tok_loss.item() total_tok_crt += tok_crt.item() total_tok_cnt += tok_cnt.item() rand_num = torch.sum((clc_label > 0).long(), dim=-1) rand_den = torch.sum(rand_num, dim=-1).item() // 2 rand_num = torch.sum((rand_num > 0).long(), dim=-1).item() total_rand_num += rand_num total_rand_den += rand_den total_tcr_loss += tcr_loss.item() total_tcr_crt += tcr_crt.item() total_tcr_cnt += tcr_cnt.item() total_loss = total_mlm_loss + \ (total_sep_loss + total_tok_loss) * \ args.clc_weight + total_tcr_loss if steps % args.report_steps == 0 and (not args.dist_train or (args.dist_train and rank == 0)): elapsed = time.time() - start_time done_tokens = \ args.batch_size * token_id.size(1) * args.report_steps * args.world_size \ if args.dist_train \ else args.batch_size * token_id.size(1) * args.report_steps print("| {:8d}/{:8d} steps" "| {:8.2f} tokens/s" "| total_loss {:7.2f}" "| mlm_loss {:7.2f}" "| mlm_acc {:.3f}" "| sep_loss {:7.2f}" "| sep_acc {:.3f}" "| tok_loss {:7.2f}" "| tok_acc {:.3f}" "| rand_acc {:.3f}" "| tcr_loss {:7.2f}" "| tcr_acc {:.3f}".format( steps, total_steps, done_tokens / elapsed, total_loss / args.report_steps, total_mlm_loss / args.report_steps, total_mlm_crt / total_mlm_cnt, total_sep_loss / args.report_steps, total_sep_crt / total_sep_cnt, total_tok_loss / args.report_steps, total_tok_crt / total_tok_cnt, total_rand_num / total_rand_den, total_tcr_loss / args.report_steps, total_tcr_crt / total_tcr_cnt)) total_loss = 0. total_mlm_loss, total_mlm_crt, total_mlm_cnt = 0., 0., 0. total_sep_loss, total_sep_crt, total_sep_cnt = 0., 0., 0. total_tok_loss, total_tok_crt, total_tok_cnt = 0., 0., 0. total_tcr_loss, total_tcr_crt, total_tcr_cnt = 0., 0., 0. total_rand_num, total_rand_den = 0., 0. start_time = time.time() if steps % args.save_checkpoint_steps == 0 and (not args.dist_train or (args.dist_train and rank == 0)): print("saving model") save_model(model, args.output_model_path + "-" + str(steps)) steps += 1 print("the model wasn't saved") TRAINERS = { "base": train_base, "tuta": train_tuta, "tuta_explicit": train_tuta, }

40.672598

113

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1,544

11,429

3.685233

0.071891

0.013357

0.044288

0.016872

0.95536

0

0.01839

0.343425

11,429

280

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0.739872

0.010325

0

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0

0.043293

0

1

0.008621

false

0

0.012931

0

0.021552

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0

null

0

1

0

1

0

null

0

7

fb342cf20d862ee4c492d0460e06d6f9a19c444d

108

py

Python

pyuploadtool/build_systems/exceptions.py

knarfS/pyuploadtool

72aaf58f1aff35566960cf19b0f95239d245982f

[ "MIT" ]

6

2020-12-12T14:09:28.000Z

2021-06-29T06:23:11.000Z

pyuploadtool/build_systems/exceptions.py

knarfS/pyuploadtool

72aaf58f1aff35566960cf19b0f95239d245982f

[ "MIT" ]

7

2020-12-11T19:50:03.000Z

2022-01-08T00:24:42.000Z

pyuploadtool/build_systems/exceptions.py

knarfS/pyuploadtool

72aaf58f1aff35566960cf19b0f95239d245982f

[ "MIT" ]

3

2020-12-12T14:00:49.000Z

2021-06-19T12:31:11.000Z

from pyuploadtool.exceptions import PyUploadtoolError class BuildSystemError(PyUploadtoolError): pass

18

53

0.842593

9

108

10.111111

0.888889

0

0.12037

108

5

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true

0.333333

0

0.666667

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0

1

0

null

0

1

0

1

0

7

349dee35bf01db0778d0d3670f99f0aa4365c869

340

py

Python

product_management_models/product_supplies/models.py

reimibeta/django-product-management-models

f51e94cc6ae605ea21706ffe2baedc53b980112f

[ "Apache-2.0" ]

null

product_management_models/product_supplies/models.py

reimibeta/django-product-management-models

f51e94cc6ae605ea21706ffe2baedc53b980112f

[ "Apache-2.0" ]

null

product_management_models/product_supplies/models.py

reimibeta/django-product-management-models

f51e94cc6ae605ea21706ffe2baedc53b980112f

[ "Apache-2.0" ]

null

# product supply from product_management_models.product_supplies.class_models.product_supply import * # product supply delivery from product_management_models.product_supplies.class_models.product_supply_deliveries import * # product supply stock from product_management_models.product_supplies.class_models.product_supply_stock import *

37.777778

95

0.882353

43

340

6.581395

0.255814

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0.222615

0.286219

0.699647

0

0.073529

340

8

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42.5

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0

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true

0

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1

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null

1

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1

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0

null

0

1

0

1

0

1

0

8

9ba91f162154c3093d31954a0ee2506db650d787

35,363

py

Python

tests/models/test_process.py

d-cat-support/fusion-platform-python-sdk

6f98a60f33a962f6a10861da15affbc28bf4a17a

[ "MIT" ]

null

tests/models/test_process.py

d-cat-support/fusion-platform-python-sdk

6f98a60f33a962f6a10861da15affbc28bf4a17a

[ "MIT" ]

null

tests/models/test_process.py

d-cat-support/fusion-platform-python-sdk

6f98a60f33a962f6a10861da15affbc28bf4a17a

[ "MIT" ]

null

# # Process model class test file. # # @author Matthew Casey # # (c) Digital Content Analysis Technology Ltd 2022 # import json import pytest import requests import requests_mock import uuid import fusion_platform from tests.custom_test_case import CustomTestCase from fusion_platform.common.utilities import json_default from fusion_platform.models.data import Data from fusion_platform.models.model import Model, ModelError from fusion_platform.models.process import Process, ProcessInputSchema, ProcessOptionSchema, ProcessSchema from fusion_platform.models.process_execution import ProcessExecution from fusion_platform.session import Session, RequestError class TestProcess(CustomTestCase): """ Process model tests. """ def test_init(self): """ Test initialisation of the process model class to ensure no exceptions are raised. """ process = Process(Session()) self.assertIsNotNone(process) def test_create(self): """ Tests that a process object can be created. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') path = Process._PATH_CREATE.format(organisation_id=organisation_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Process._PATH_NEW.format(organisation_id=organisation_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process._new(organisation_id=organisation_id) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) process.create() with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{path}", status_code=400) process.create() with pytest.raises(ModelError): mock.post(f"{Session.API_URL_DEFAULT}{path}", text='{}') process.create() mock.post(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.create() schema = ProcessSchema() for key in content: if (Model._METADATA_HIDE not in schema.fields[key].metadata) and (content[key] is not None): self.assertEqual(json.dumps(content[key], default=json_default), json.dumps(getattr(process, key), default=json_default)) def test_delete(self): """ Tests that an object can be deleted from the API. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') process_id = content.get(Model._FIELD_ID) path = Process._PATH_DELETE.format(organisation_id=organisation_id, process_id=process_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) with pytest.raises(RequestError): mock.delete(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) process.delete() with pytest.raises(RequestError): mock.delete(f"{Session.API_URL_DEFAULT}{path}", status_code=400) process.delete() mock.delete(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.delete() def test_execute_no_wait(self): """ Tests that a process can be executed without waiting. """ with open(self.fixture_path('process.json'), 'r') as file: process_content = json.loads(file.read()) with open(self.fixture_path('process_execution.json'), 'r') as file: execution_content = json.loads(file.read()) session = Session() organisation_id = process_content.get('organisation_id') process_id = process_content.get(Model._FIELD_ID) process_execution_id = execution_content.get(Model._FIELD_ID) execute_path = Process._PATH_EXECUTE.format(organisation_id=organisation_id, process_id=process_id) get_path = Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id) executions_path = Process._PATH_EXECUTIONS.format(organisation_id=organisation_id, process_id=process_id) execution_path = ProcessExecution._PATH_GET.format(organisation_id=organisation_id, process_execution_id=process_execution_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{execute_path}", exc=requests.exceptions.ConnectTimeout) process.execute() with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{execute_path}", status_code=400) process.execute() with pytest.raises(ModelError): mock.post(f"{Session.API_URL_DEFAULT}{execute_path}", text='{}') process.execute() process_content['process_status'] = Process._PROCESS_STATUS_EXECUTE mock.post(f"{Session.API_URL_DEFAULT}{execute_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process.execute() with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{get_path}", exc=requests.exceptions.ConnectTimeout) process.wait_for_next_execution() with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{get_path}", status_code=400) process.wait_for_next_execution() with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text='{}') process.wait_for_next_execution() mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{executions_path}", exc=requests.exceptions.ConnectTimeout) process.wait_for_next_execution() with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{executions_path}", status_code=400) process.wait_for_next_execution() with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{executions_path}", text='{}') process.wait_for_next_execution() mock.get(f"{Session.API_URL_DEFAULT}{executions_path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [execution_content]})) process.wait_for_next_execution() for process_execution in process.executions: with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{execution_path}", exc=requests.exceptions.ConnectTimeout) process_execution.check_complete() with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{execution_path}", status_code=400) process_execution.check_complete() with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{execution_path}", text='{}') process_execution.check_complete() mock.get(f"{Session.API_URL_DEFAULT}{execution_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: execution_content})) self.assertTrue(process_execution.check_complete()) def test_execute_wait(self): """ Tests that a process can be executed with waiting. """ with open(self.fixture_path('process.json'), 'r') as file: process_content = json.loads(file.read()) with open(self.fixture_path('process_execution.json'), 'r') as file: execution_content = json.loads(file.read()) session = Session() organisation_id = process_content.get('organisation_id') process_id = process_content.get(Model._FIELD_ID) process_execution_id = execution_content.get(Model._FIELD_ID) execute_path = Process._PATH_EXECUTE.format(organisation_id=organisation_id, process_id=process_id) get_path = Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id) executions_path = Process._PATH_EXECUTIONS.format(organisation_id=organisation_id, process_id=process_id) execution_path = ProcessExecution._PATH_GET.format(organisation_id=organisation_id, process_execution_id=process_execution_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{execute_path}", exc=requests.exceptions.ConnectTimeout) process.execute(wait=True) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{execute_path}", status_code=400) process.execute(wait=True) with pytest.raises(ModelError): mock.post(f"{Session.API_URL_DEFAULT}{execute_path}", text='{}') process.execute(wait=True) process_content['process_status'] = Process._PROCESS_STATUS_EXECUTE mock.post(f"{Session.API_URL_DEFAULT}{execute_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) mock.get(f"{Session.API_URL_DEFAULT}{executions_path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [execution_content]})) mock.get(f"{Session.API_URL_DEFAULT}{execution_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: execution_content})) process.execute(wait=True) def test_executions(self): """ Tests the executions property retrieves process execution items. """ with open(self.fixture_path('process.json'), 'r') as file: process_content = json.loads(file.read()) with open(self.fixture_path('process_execution.json'), 'r') as file: execution_content = json.loads(file.read()) session = Session() organisation_id = process_content.get('organisation_id') process_id = process_content.get(Model._FIELD_ID) path = Process._PATH_EXECUTIONS.format(organisation_id=organisation_id, process_id=process_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) next(process.executions) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) next(process.executions) with pytest.raises(StopIteration): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') next(process.executions) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [execution_content]})) for execution in process.executions: self.assertEqual(str(process_id), str(execution.process_id)) def test_find_executions(self): """ Tests the finding of process execution items. """ with open(self.fixture_path('process.json'), 'r') as file: process_content = json.loads(file.read()) with open(self.fixture_path('process_execution.json'), 'r') as file: execution_content = json.loads(file.read()) session = Session() organisation_id = process_content.get('organisation_id') process_id = process_content.get(Model._FIELD_ID) process_execution_id = execution_content.get(Model._FIELD_ID) group_id = execution_content.get(Model._FIELD_GROUP_ID) path = Process._PATH_EXECUTIONS.format(organisation_id=organisation_id, process_id=process_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) process.find_executions() with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) process.find_executions() with pytest.raises(StopIteration): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') first, generator = process.find_executions() self.assertIsNone(first) next(generator) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [execution_content]})) first, generator = process.find_executions(id=process_execution_id, group_id=group_id) self.assertIsNotNone(first) for execution in generator: self.assertEqual(first.attributes, execution.attributes) def test_get(self): """ Tests that an object can be retrieved from the API. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') process_id = content.get(Model._FIELD_ID) path = Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) process.get(organisation_id=organisation_id, process_id=process_id) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) process.get(organisation_id=organisation_id, process_id=process_id) with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') process.get(organisation_id=organisation_id, process_id=process_id) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) process.get() self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) def test_inputs(self): """ Tests that the inputs can be obtained from a process model. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') process_id = content.get(Model._FIELD_ID) path = Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) inputs = process.inputs self.assertIsNotNone(inputs) for input in inputs: self.assertIsNotNone(input.ssd_id) def test_model_from_api_id(self): """ Tests that an object can be created from an API endpoint. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') process_id = content.get(Model._FIELD_ID) path = Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id) with requests_mock.Mocker() as mock: with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) Process._model_from_api_id(session, id=process_id, organisation_id=organisation_id) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) Process._model_from_api_id(session, id=process_id, organisation_id=organisation_id) with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') Process._model_from_api_id(session, id=process_id, organisation_id=organisation_id) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process = Process._model_from_api_id(session, id=process_id, organisation_id=organisation_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) def test_models_from_api_ids(self): """ Tests that objects can be created from an API endpoint. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') process_id = content.get(Model._FIELD_ID) path = Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) processes = Process._models_from_api_ids(session, [{Model._FIELD_ID: process_id, 'organisation_id': organisation_id}]) self.assertIsNotNone(processes) for process in processes: self.assertEqual(str(process_id), str(process.id)) def test_models_from_api_path(self): """ Tests that objects can be created from an API endpoint returning a list. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() process_id = content.get(Model._FIELD_ID) path = '/path' with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [content]})) processes = Process._models_from_api_path(session, path) self.assertIsNotNone(processes) for process in processes: self.assertEqual(str(process_id), str(process.id)) def test_new(self): """ Tests that a template new object can be created from an API endpoint with validation using a Marshmallow schema. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) wrong_content = {} for key in content: wrong_content[f"new_{key}"] = content[key] session = Session() organisation_id = content.get('organisation_id') path = Process._PATH_NEW.format(organisation_id=organisation_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) process._new(organisation_id=organisation_id) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) process._new(organisation_id=organisation_id) with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') process._new(organisation_id=organisation_id) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: wrong_content})) process._new(organisation_id=organisation_id) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process._new(organisation_id=organisation_id) schema = ProcessSchema() for key in content: if (Model._METADATA_HIDE not in schema.fields[key].metadata) and (content[key] is not None): self.assertEqual(json.dumps(content[key], default=json_default), json.dumps(getattr(process, key), default=json_default)) def test_options(self): """ Tests that the options can be obtained from a process model. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') process_id = content.get(Model._FIELD_ID) path = Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) options = process.options self.assertIsNotNone(options) for option in options: self.assertIsNotNone(option.ssd_id) def test_schema(self): """ Tests that a process model can be loaded into the schema. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) model = ProcessSchema().load(content) self.assertIsNotNone(model) for key in content: self.assertEqual(json.dumps(content[key], default=json_default), json.dumps(model[key], default=json_default)) def test_stop(self): """ Tests that a process can be stopped. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') process_id = content.get(Model._FIELD_ID) path = Process._PATH_STOP.format(organisation_id=organisation_id, process_id=process_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) process.stop() with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{path}", status_code=400) process.stop() with pytest.raises(ModelError): mock.post(f"{Session.API_URL_DEFAULT}{path}", text='{}') process.stop() mock.post(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.stop() def test_update(self): """ Tests that an object can be updated to the API. """ with open(self.fixture_path('process.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') process_id = content.get(Model._FIELD_ID) path = Process._PATH_PATCH.format(organisation_id=organisation_id, process_id=process_id) name = 'New Name' process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertIsNotNone(process) self.assertEqual(str(process_id), str(process.id)) with pytest.raises(RequestError): mock.patch(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) process.update(name=name) with pytest.raises(RequestError): mock.patch(f"{Session.API_URL_DEFAULT}{path}", status_code=400) process.update(name=name) with pytest.raises(ModelError): mock.patch(f"{Session.API_URL_DEFAULT}{path}", text='{}') process.update(name=name) self.assertNotEqual(name, process.name) content['process_status'] = Process._PROCESS_STATUS_EXECUTE mock.get(f"{Session.API_URL_DEFAULT}{Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertEqual(Process._PROCESS_STATUS_EXECUTE, process.process_status) with pytest.raises(ModelError): mock.patch(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.update(name=name) content['process_status'] = 'draft' mock.get(f"{Session.API_URL_DEFAULT}{Process._PATH_GET.format(organisation_id=organisation_id, process_id=process_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.get(organisation_id=organisation_id, process_id=process_id) self.assertNotEqual(Process._PROCESS_STATUS_EXECUTE, process.process_status) content['name'] = name mock.patch(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) process.update(name=name) self.assertEqual(name, process.name) def test_update_input(self): """ Tests setting an input on a template process. """ with open(self.fixture_path('process.json'), 'r') as file: process_content = json.loads(file.read()) input_content = process_content['inputs'][0] with open(self.fixture_path('data.json'), 'r') as file: data_content = json.loads(file.read()) with open(self.fixture_path('data_file.json'), 'r') as file: file_content = json.loads(file.read()) session = Session() organisation_id = process_content.get('organisation_id') data_id = uuid.uuid4() get_path = Process._PATH_NEW.format(organisation_id=organisation_id) files_path = Data._PATH_FILES.format(organisation_id=organisation_id, data_id=data_id) process = Process(session) self.assertIsNotNone(process) data = Data(session) data_content['id'] = data_id data._set_model(data_content) with requests_mock.Mocker() as mock: with pytest.raises(ModelError): process.update(input_number=1, data=None) with pytest.raises(ModelError): process_content['process_status'] = Process._PROCESS_STATUS_EXECUTE mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process._new(organisation_id=organisation_id) input = next(process.inputs) process.update(input=input, data=data) process_content['process_status'] = 'draft' mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process._new(organisation_id=organisation_id) with pytest.raises(ModelError): process.update(input_number=2, data=data) with pytest.raises(ModelError): input_content['input'] = 2 input = Model(None, schema=ProcessInputSchema()) input._set_model(input_content) process.update(input=input, data=data) del file_content['publishable'] mock.get(f"{Session.API_URL_DEFAULT}{files_path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [file_content]})) input = next(process.inputs) with pytest.raises(ModelError): process.update(input=input, data=data) file_content['publishable'] = False mock.get(f"{Session.API_URL_DEFAULT}{files_path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [file_content]})) with pytest.raises(ModelError): file_content['file_type'] = fusion_platform.FILE_TYPE_GEOTIFF mock.get(f"{Session.API_URL_DEFAULT}{files_path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [file_content]})) process.update(input_number=1, data=data) file_content['file_type'] = fusion_platform.FILE_TYPE_ESRI_SHAPEFILE mock.get(f"{Session.API_URL_DEFAULT}{files_path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [file_content]})) self.assertEqual(str(process_content['inputs'][0]['id']), str(next(process.inputs).id)) process.update(input_number=1, data=data) self.assertEqual(str(data_id), str(next(process.inputs).id)) process._new(organisation_id=organisation_id) self.assertEqual(str(process_content['inputs'][0]['id']), str(next(process.inputs).id)) process.update(input=input, data=data) self.assertEqual(str(data_id), str(next(process.inputs).id)) def test_update_option(self): """ Tests setting an option on a template process. """ with open(self.fixture_path('process.json'), 'r') as file: process_content = json.loads(file.read()) option_content = process_content['options'][0] session = Session() organisation_id = process_content.get('organisation_id') get_path = Process._PATH_NEW.format(organisation_id=organisation_id) process = Process(session) self.assertIsNotNone(process) with requests_mock.Mocker() as mock: with pytest.raises(ModelError): process_content['process_status'] = Process._PROCESS_STATUS_EXECUTE mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process._new(organisation_id=organisation_id) option = next(process.options) process.update(option=option, value=None) process_content['process_status'] = 'draft' mock.get(f"{Session.API_URL_DEFAULT}{get_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: process_content})) process._new(organisation_id=organisation_id) with pytest.raises(ModelError): option_content['name'] = 'rubbish' option = Model(None, schema=ProcessOptionSchema()) option._set_model(option_content) process.update(option=option, value=None) option_content['name'] = 'latest_date' with pytest.raises(ModelError): option = Model(None, schema=ProcessOptionSchema()) option._set_model(option_content) process.update(option=option, value='rubbish') option = next(process.options) self.assertEqual(True, next(process.options).value) process.update(option_name='latest_date', value=False) self.assertEqual(False, next(process.options).value) process._new(organisation_id=organisation_id) self.assertEqual(True, next(process.options).value) process.update(option=option, value=False) self.assertEqual(False, next(process.options).value) process.update(option=option, value=None) self.assertEqual(None, next(process.options).value)

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null

0

7

9ba9f9d1ee73f99223587084d47e6bccd7272833

688

py

Python

tests/utils/conftest.py

zaczw/stochastic

7de6ec2f9050120adfcffeebc94bfc17ec916150

[ "MIT" ]

268

2018-01-17T18:45:20.000Z

2022-03-28T06:05:30.000Z

tests/utils/conftest.py

zaczw/stochastic

7de6ec2f9050120adfcffeebc94bfc17ec916150

[ "MIT" ]

42

2018-07-11T02:17:43.000Z

2021-11-27T03:27:32.000Z

tests/utils/conftest.py

zaczw/stochastic

7de6ec2f9050120adfcffeebc94bfc17ec916150

[ "MIT" ]

56

2018-02-20T09:32:50.000Z

2022-02-15T15:39:37.000Z

"""Pytest fixtures.""" import pytest @pytest.fixture(params=[4, 4.2, "4", -4]) def increments_fixture(request): return request.param @pytest.fixture(params=[4, 4.2, "4"]) def number_fixture(request): return request.param @pytest.fixture(params=[4, 0, -4]) def positive_number_fixture(request): return request.param @pytest.fixture(params=["PARAMETER_NAME"]) def parameter_name_fixture(request): return request.param @pytest.fixture(params=[4, 0, -4]) def nonnegative_number_fixture(request): return request.param @pytest.fixture(params=[16]) def n(request): return request.param @pytest.fixture(params=[1]) def end(request): return request.param

18.105263

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688

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0.360825

0.734021

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0

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688

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false

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null

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9bbe3ca02890c8a1af1af4eeacbba80a21ab0fe6

140,730

py

Python

src/frr/tests/topotests/multicast_pim_static_rp_topo1/test_multicast_pim_static_rp.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

src/frr/tests/topotests/multicast_pim_static_rp_topo1/test_multicast_pim_static_rp.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

src/frr/tests/topotests/multicast_pim_static_rp_topo1/test_multicast_pim_static_rp.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright (c) 2019 by VMware, Inc. ("VMware") # Used Copyright (c) 2018 by Network Device Education Foundation, # Inc. ("NetDEF") in this file. # # Permission to use, copy, modify, and/or distribute this software # for any purpose with or without fee is hereby granted, provided # that the above copyright notice and this permission notice appear # in all copies. # # THE SOFTWARE IS PROVIDED "AS IS" AND VMWARE DISCLAIMS ALL WARRANTIES # WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF # MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL VMWARE BE LIABLE FOR # ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY # DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, # WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS # ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE # OF THIS SOFTWARE. # """ Following tests are covered to test Multicast basic functionality: Topology: _______r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 | | |_____________| r4 Test steps - Create topology (setup module) - Bring up topology TC_1 : Verify upstream interfaces(IIF) and join state are updated properly after adding and deleting the static RP TC_2 : Verify IIF and OIL in "show ip pim state" updated properly after adding and deleting the static RP TC_3: (*, G) Mroute entry are cleared when static RP gets deleted TC_4: Verify (*,G) prune is send towards the RP after deleting the static RP TC_5: Verify OIF entry for RP is cleared when RP becomes unreachable TC_6: Verify IIF and OIL in "show ip pim state" updated properly when RP becomes unreachable TC_7 : Verify upstream interfaces(IIF) and join state are updated properly after adding and deleting the static RP TC_8: Verify (*,G) prune is send towards the RP when RP becomes unreachable TC_9 : Verify RP configured after IGMP join received, PIM join towards RP is sent immediately TC_10 : Verify RP becomes reachable after IGMP join received, PIM join towards RP is sent immediately TC_11 : Verify PIM join send towards the higher preferred RP TC_12 : Verify PIM prune send towards the lower preferred RP TC_13 : Verify RPF interface is updated in mroute (kernel) when higher preferred overlapping RP configured TC_14 : Verify IIF and OIL in "show ip pim state" updated properly when higher preferred overlapping RP configured TC_15 : Verify upstream interfaces(IIF) and join state are updated when higher preferred overlapping RP is configured TC_16 : Verify join is send to lower preferred RP, when higher preferred RP gets deleted TC_17 : Verify prune is send to higher preferred RP when higher preferred RP gets deleted TC_18 : Verify RPF interface updated in mroute when higher preferred RP gets deleted TC_19 : Verify IIF and OIL in "show ip pim state" updated when higher preferred overlapping RP is deleted TC_20 : Verfiy PIM upstream IIF updated when higher preferred overlapping RP deleted TC_21_1 : Verify OIF and RFP for (*,G) and (S,G) when static RP configure in LHR router TC_21_2 : Verify OIF and RFP for (*,G) and (S,G) when static RP configure in LHR router TC_22_1 : Verify OIF and RPF for (*,G) and (S,G) when static RP configure in FHR router TC_22_2 : Verify OIF and RPF for (*,G) and (S,G) when static RP configure in FHR router TC_23 : Verify (*,G) and (S,G) populated correctly when RPT and SPT path are different TC_24 : Verify (*,G) and (S,G) populated correctly when SPT and RPT share the same path TC_25 : Verify (*,G) and (S,G) populated correctly after clearing the PIM , IGMP and mroutes joins TC_26 : Restart the PIMd process and verify PIM joins , and mroutes entries TC_27 : Configure multiple groups (10 grps) with same RP address TC_28 : Configure multiple groups (10 grps) with different RP address TC_29 : Verify IIF and OIL in updated in mroute when upstream interface configure as RP TC_30 : Verify IIF and OIL change to other path after shut the primary path TC_31 : Verify RP info and (*,G) mroute after deleting the RP and shut / no shut the RPF interface. TC_32 : Verify RP info and (*,G) mroute after deleting the RP and shut / no shut the RPF inteface """ import os import sys import time from time import sleep import datetime import pytest # Save the Current Working Directory to find configuration files. CWD = os.path.dirname(os.path.realpath(__file__)) sys.path.append(os.path.join(CWD, "../")) sys.path.append(os.path.join(CWD, "../lib/")) # Required to instantiate the topology builder class. # pylint: disable=C0413 # Import topogen and topotest helpers from lib.topogen import Topogen, get_topogen from lib.topolog import logger from lib.topojson import build_topo_from_json, build_config_from_json from lib.common_config import ( start_topology, write_test_header, write_test_footer, reset_config_on_routers, step, shutdown_bringup_interface, kill_router_daemons, start_router_daemons, create_static_routes, topo_daemons, ) from lib.pim import ( create_pim_config, verify_igmp_groups, verify_upstream_iif, verify_join_state_and_timer, verify_ip_mroutes, verify_pim_neighbors, verify_pim_interface_traffic, verify_pim_rp_info, verify_pim_state, clear_ip_pim_interface_traffic, clear_ip_igmp_interfaces, clear_ip_pim_interfaces, clear_ip_mroute, clear_ip_mroute_verify, McastTesterHelper, ) pytestmark = [pytest.mark.pimd, pytest.mark.staticd] # Global variables GROUP_RANGE_ALL = "224.0.0.0/4" GROUP_RANGE = "225.1.1.1/32" GROUP_RANGE_LIST_1 = [ "225.1.1.1/32", "225.1.1.2/32", "225.1.1.3/32", "225.1.1.4/32", "225.1.1.5/32", ] GROUP_RANGE_LIST_2 = [ "225.1.1.6/32", "225.1.1.7/32", "225.1.1.8/32", "225.1.1.9/32", "225.1.1.10/32", ] GROUP_ADDRESS = "225.1.1.1" GROUP_ADDRESS_LIST_1 = ["225.1.1.1", "225.1.1.2", "225.1.1.3", "225.1.1.4", "225.1.1.5"] GROUP_ADDRESS_LIST_2 = [ "225.1.1.6", "225.1.1.7", "225.1.1.8", "225.1.1.9", "225.1.1.10", ] STAR = "*" SOURCE_ADDRESS = "10.0.6.2" SOURCE = "Static" def build_topo(tgen): """Build function""" # Building topology from json file build_topo_from_json(tgen, TOPO) def setup_module(mod): """ Sets up the pytest environment * `mod`: module name """ testsuite_run_time = time.asctime(time.localtime(time.time())) logger.info("Testsuite start time: %s", testsuite_run_time) logger.info("=" * 40) topology = """ _______r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 | | |_____________| r4 """ logger.info("Master Topology: \n %s", topology) logger.info("Running setup_module to create topology") # This function initiates the topology build with Topogen... json_file = "{}/multicast_pim_static_rp.json".format(CWD) tgen = Topogen(json_file, mod.__name__) global TOPO TOPO = tgen.json_topo # ... and here it calls Mininet initialization functions. # get list of daemons needs to be started for this suite. daemons = topo_daemons(tgen, TOPO) # Starting topology, create tmp files which are loaded to routers # to start deamons and then start routers start_topology(tgen, daemons) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) # Creating configuration from JSON build_config_from_json(tgen, TOPO) # Verify PIM neighbors result = verify_pim_neighbors(tgen, TOPO) assert result is True, "setup_module :Failed \n Error:" " {}".format(result) # XXX Replace this using "with McastTesterHelper()... " in each test if possible. global app_helper app_helper = McastTesterHelper(tgen) logger.info("Running setup_module() done") def teardown_module(): """Teardown the pytest environment""" logger.info("Running teardown_module to delete topology") tgen = get_topogen() app_helper.cleanup() # Stop toplogy and Remove tmp files tgen.stop_topology() logger.info("Testsuite end time: %s", time.asctime(time.localtime(time.time()))) logger.info("=" * 40) ##################################################### # # Testcases # ##################################################### def verify_mroute_repopulated(uptime_before, uptime_after): """ API to compare uptime for mroutes Parameters ---------- * `uptime_before` : Uptime dictionary for any particular instance * `uptime_after` : Uptime dictionary for any particular instance """ for group in uptime_before.keys(): for source in uptime_before[group].keys(): if set(uptime_before[group]) != set(uptime_after[group]): errormsg = ( "mroute (%s, %s) has not come" " up after mroute clear [FAILED!!]" % (source, group) ) return errormsg d_1 = datetime.datetime.strptime(uptime_before[group][source], "%H:%M:%S") d_2 = datetime.datetime.strptime(uptime_after[group][source], "%H:%M:%S") if d_2 >= d_1: errormsg = "mroute (%s, %s) is not " "repopulated [FAILED!!]" % ( source, group, ) return errormsg logger.info("mroute (%s, %s) is " "repopulated [PASSED!!]", source, group) return True def verify_state_incremented(state_before, state_after): """ API to compare interface traffic state incrementing Parameters ---------- * `state_before` : State dictionary for any particular instance * `state_after` : State dictionary for any particular instance """ for router, state_data in state_before.items(): for state, _ in state_data.items(): if state_before[router][state] >= state_after[router][state]: errormsg = ( "[DUT: %s]: state %s value has not" " incremented, Initial value: %s, " "Current value: %s [FAILED!!]" % ( router, state, state_before[router][state], state_after[router][state], ) ) return errormsg logger.info( "[DUT: %s]: State %s value is " "incremented, Initial value: %s, Current value: %s" " [PASSED!!]", router, state, state_before[router][state], state_after[router][state], ) return True def test_add_delete_static_RP_p0(request): """ TC_1_P0 : Verify upstream interfaces(IIF) and join state are updated properly after adding and deleting the static RP TC_2_P0 : Verify IIF and OIL in "show ip pim state" updated properly after adding and deleting the static RP TC_3_P0: (*, G) Mroute entry are cleared when static RP gets deleted TC_4_P0: Verify (*,G) prune is send towards the RP after deleting the static RP Topology used: r0------r1-----r2 iperf DUT RP """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("pre-configuration to send IGMP join and multicast traffic") step("Enable IGMP on r1 interface and send IGMP " "join (225.1.1.1) to r1") step("Configure r2 loopback interface as RP") step("Enable PIM between r1 and r3") step("r1: Verify show ip igmp group without any IGMP join") dut = "r1" interface = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, interface, GROUP_ADDRESS, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: igmp group present without any IGMP join \n Error: {}".format( tc_name, result ) ) step("r1: Verify show ip pim interface traffic without any IGMP join") state_dict = {"r1": {"r1-r2-eth1": ["pruneTx"]}} state_before = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_before, dict ), "Testcase {} : Failed \n state_before is not dictionary\n Error: {}".format( tc_name, result ) step("r0 : Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify RP info") dut = "r1" iif = "r1-r2-eth1" rp_address = "1.0.2.17" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify ip pim join") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) step("r1: Delete RP configuration") # Delete RP configuration input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify RP info") result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE, expected=False ) assert ( result is not True ), "Testcase {} : Failed \n " "r1: RP info present \n Error: {}".format( tc_name, result ) step("r1: Verify upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: upstream IIF interface present \n Error: {}".format(tc_name, result) ) step("r1: Verify upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, STAR, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r1: upstream join state is up and join timer is running \n Error: {}".format( tc_name, result ) ) # 20 step("r1: Verify PIM state") result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS, expected=False) assert result is not True, "Testcase {} :Failed \n Error: {}".format( tc_name, result ) step("r1: Verify ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert ( result is not True ), "Testcase {} : Failed \n " "r1: mroutes are still present \n Error: {}".format( tc_name, result ) step("r1: Verify show ip pim interface traffic without any IGMP join") state_after = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_after, dict ), "Testcase {} : Failed \n state_before is not dictionary \n Error: {}".format( tc_name, result ) result = verify_state_incremented(state_before, state_after) assert result is True, "Testcase{} : Failed Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_SPT_RPT_path_same_p1(request): """ TC_24_P1 : Verify (*,G) and (S,G) populated correctly when SPT and RPT share the same path Topology used: ________r2_____ | | iperf | | iperf r0-----r1 r3-----r5 r1 : LHR r2 : RP r3 : FHR """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) dut = "r1" intf = "r1-r3-eth2" shutdown_bringup_interface(tgen, dut, intf, False) intf = "r1-r4-eth3" shutdown_bringup_interface(tgen, dut, intf, False) dut = "r3" intf = "r3-r1-eth0" shutdown_bringup_interface(tgen, dut, intf, False) intf = "r3-r4-eth2" shutdown_bringup_interface(tgen, dut, intf, False) step("Enable IGMP on r1 interface and send IGMP join (225.1.1.1) to R1") step("Configure RP on r2 (loopback interface) for the group range" " 224.0.0.0/4") step("Enable the PIM on all the interfaces of r1, r2, r3 and r4 routers") step("Send multicast traffic from R3") step("r2: Verify RP info") dut = "r2" rp_address = "1.0.2.17" iif = "lo" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") dut = "r1" oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", GROUP_ADDRESS, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") dut = "r1" iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream IIF interface") dut = "r2" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream IIF interface") iif = "r2-r3-eth1" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S, G) upstream join state is up and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r2-eth1" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_not_reachable_static_RP_p0(request): """ TC_5_P0: Verify OIF entry for RP is cleared when RP becomes unreachable TC_6_P0: Verify IIF and OIL in "show ip pim state" updated properly when RP becomes unreachable TC_7_P0 : Verify upstream interfaces(IIF) and join state are updated properly after adding and deleting the static RP TC_8_P0: Verify (*,G) prune is send towards the RP when RP becomes unreachable Topology used: r0------r1-----r2 iperf DUT RP """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) dut = "r1" intf = "r1-r3-eth2" shutdown_bringup_interface(tgen, dut, intf, False) dut = "r1" intf = "r1-r4-eth3" shutdown_bringup_interface(tgen, dut, intf, False) step( "r1: (*,G) prune is not sent towards the RP interface, verify using" "show ip pim interface traffic" ) state_dict = {"r1": {"r1-r2-eth1": ["pruneTx"]}} state_before = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_before, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, state_before ) step("Enable IGMP on r1 interface and send IGMP " "join (225.1.1.1) to r1") step("Configure r2 loopback interface as RP") step("Enable PIM between r1 and r2") step("r0 : Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify rp info") dut = "r1" iif = "r1-r2-eth1" rp_address = "1.0.2.17" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify PIM state") result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 :Verify ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Make RP un-reachable") dut = "r1" input_dict = { dut: { "static_routes": [ {"network": "1.0.2.17/32", "next_hop": "10.0.1.2", "delete": True} ] } } result = create_static_routes(tgen, input_dict) assert result is True, "Testcase {} : Failed \n Error: {}".format(tc_name, result) step("r1: Check RP detail using show ip pim rp-info OIF should be unknown") result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, "Unknown", rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step( "r1 : OIL should be same and IIF should be cleared on R1 verify" "using show ip pim state" ) result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "OIL is not same and IIF is not cleared on R1 \n Error: {}".format( tc_name, result ) ) step("r1: upstream IIF should be unknown , verify using show ip pim" "upstream") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: upstream IIF is not unknown \n Error: {}".format(tc_name, result) ) step( "r1: join state should not be joined and join timer should stop," "verify using show ip pim upstream" ) result = verify_join_state_and_timer( tgen, dut, iif, STAR, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r1: join state is joined and timer is not stopped \n Error: {}".format( tc_name, result ) ) step( "r1: (*,G) prune is sent towards the RP interface, verify using" "show ip pim interface traffic" ) state_after = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_after, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, result ) result = verify_state_incremented(state_before, state_after) assert result is True, "Testcase{} : Failed Error: {}".format(tc_name, result) step("r1: (*, G) cleared from mroute table using show ip mroute") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: (*, G) are not cleared from mroute table \n Error: {}".format( tc_name, result ) ) logger.info("Expected behavior: %s", result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_add_RP_after_join_received_p1(request): """ TC_9_P1 : Verify RP configured after IGMP join received, PIM join towards RP is sent immediately Topology used: r0------r1-----r2 iperf DUT RP """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on R1 interface") step("Configure r2 loopback interface as RP") step("Enable PIM between r1 and r2") step("Delete RP configuration from r1") step("r1: Delete RP configuration") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify rp-info") dut = "r1" rp_address = "1.0.2.17" iif = "r1-r2-eth1" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE, expected=False ) assert ( result is not True ), "Testcase {} : Failed \n " "r1: rp-info is present \n Error: {}".format( tc_name, result ) step("joinTx value before join sent") state_dict = {"r1": {"r1-r2-eth1": ["joinTx"]}} state_before = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_before, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, result ) step("r0 : Send IGMP join (225.1.1.1) to r1, when rp is not configured" "in r1") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: IGMP group is received on R1 verify using show ip igmp groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: upstream IFF interface is present \n Error: {}".format(tc_name, result) ) step("r1: Verify upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, STAR, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r1: upstream join state is joined and timer is running \n Error: {}".format( tc_name, result ) ) step("r1: Verify PIM state") result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS, expected=False) assert ( result is not True ), "Testcase {} : Failed \n " "r1: PIM state is up\n Error: {}".format( tc_name, result ) step("r1: Verify ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert ( result is not True ), "Testcase {} : Failed \n " "r1: mroutes are still present\n Error: {}".format( tc_name, result ) step("r1: Configure static RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify rp-info") result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify PIM state") result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) logger.info("Expected behavior: %s", result) state_after = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_after, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, result ) result = verify_state_incremented(state_before, state_after) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_reachable_static_RP_after_join_p0(request): """ TC_10_P0 : Verify RP becomes reachable after IGMP join received, PIM join towards RP is sent immediately Topology used: r0------r1-----r3 iperf DUT RP """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface and send IGMP " "join (225.1.1.1) to r1") step("Configure r2 loopback interface as RP") step("Enable PIM between r1 and r2") step("r1 : Verify pim interface traffic") state_dict = {"r1": {"r1-r2-eth1": ["joinTx"]}} state_before = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_before, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, state_before ) step("r1: Make RP un-reachable") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, False) intf = "r1-r3-eth2" shutdown_bringup_interface(tgen, dut, intf, False) intf = "r1-r4-eth3" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: Verify rp-info") rp_address = "1.0.2.17" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_ADDRESS, "Unknown", rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Send IGMP join for 225.1.1.1") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify upstream IIF interface") iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: upstream IIF interface is present\n Error: {}".format(tc_name, result) ) step("r1 : Verify upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, STAR, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r1: upstream join state is joined and timer is running\n Error: {}".format( tc_name, result ) ) step("r1 : Verify PIM state") result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS, expected=False) assert ( result is not True ), "Testcase {} : Failed \n " "r1: PIM state is up\n Error: {}".format( tc_name, result ) step("r1 : Verify ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert ( result is not True ), "Testcase {} : Failed \n " "r1: mroutes are still present\n Error: {}".format( tc_name, result ) step("r1: Make RP reachable") intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, True) intf = "r1-r3-eth2" shutdown_bringup_interface(tgen, dut, intf, True) intf = "r1-r4-eth3" shutdown_bringup_interface(tgen, dut, intf, True) step("r1 : Verify rp-info") result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify PIM state") result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) logger.info("Expected behavior: %s", result) step("r1 : Verify pim interface traffic") state_after = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_after, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, result ) result = verify_state_incremented(state_before, state_after) assert result is True, "Testcase{} : Failed Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_send_join_on_higher_preffered_rp_p1(request): """ TC_11_P1 : Verify PIM join send towards the higher preferred RP TC_12_P1 : Verify PIM prune send towards the lower preferred RP TC_13_P1 : Verify RPF interface is updated in mroute (kernel) when higher preferred overlapping RP configured TC_14_P1 : Verify IIF and OIL in "show ip pim state" updated properly when higher preferred overlapping RP configured TC_15_P1 : Verify upstream interfaces(IIF) and join state are updated when higher preferred overlapping RP is configured TC_16_P1 : Verify join is send to lower preferred RP, when higher preferred RP gets deleted TC_17_P1 : Verify prune is send to higher preferred RP when higher preferred RP gets deleted TC_18_P1 : Verify RPF interface updated in mroute when higher preferred RP gets deleted TC_19_P1 : Verify IIF and OIL in "show ip pim state" updated when higher preferred overlapping RP is deleted TC_20_P1 : Verfiy PIM upstream IIF updated when higher preferred overlapping RP deleted Topology used: _______r2 | iperf | r0-----r1 | |_______r4 """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface") step("Configure RP on r2 (loopback interface) for the group range " "224.0.0.0/4") step("Configure RP on r4 (loopback interface) for the group range " "225.1.1.1/32") step("r3 : Make all interface not reachable") dut = "r3" intf = "r3-r1-eth0" shutdown_bringup_interface(tgen, dut, intf, False) intf = "r3-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, False) intf = "r3-r4-eth2" shutdown_bringup_interface(tgen, dut, intf, False) dut = "r2" intf = "r2-r3-eth1" shutdown_bringup_interface(tgen, dut, intf, False) dut = "r4" intf = "r4-r3-eth1" shutdown_bringup_interface(tgen, dut, intf, False) dut = "r1" intf = "r1-r3-eth2" shutdown_bringup_interface(tgen, dut, intf, False) step("r1 : Verify joinTx count before sending join") state_dict = {"r1": {"r1-r4-eth3": ["joinTx"], "r1-r2-eth1": ["pruneTx"]}} state_before = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_before, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, state_before ) step("r0 : Send IGMP join for 225.1.1.1") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify IGMP groups") dut = "r1" oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("Configure static RP for group 225.1.1.1/32") input_dict = { "r4": { "pim": { "rp": [ { "rp_addr": "1.0.4.17", "group_addr_range": ["225.1.1.1/32"], } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify RP info for group 224.0.0.0/4") rp_address_1 = "1.0.2.17" iif = "r1-r2-eth1" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address_1, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify RP info for group 225.1.1.1") rp_address_2 = "1.0.4.17" iif = "r1-r4-eth3" result = verify_pim_rp_info(tgen, TOPO, dut, GROUP_RANGE, iif, rp_address_2, SOURCE) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify join is sent to higher preferred RP") step("r1 : Verify prune is sent to lower preferred RP") state_after = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_after, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, result ) result = verify_state_incremented(state_before, state_after) assert result is True, "Testcase{} : Failed Error: {}".format(tc_name, result) step("r1 : Verify ip mroutes") iif = "r1-r4-eth3" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify PIM state") result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) clear_ip_pim_interface_traffic(tgen, TOPO) step("r1 : Verify joinTx, pruneTx count before RP gets deleted") state_dict = {"r1": {"r1-r2-eth1": ["joinTx"], "r1-r4-eth3": ["pruneTx"]}} state_before = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_before, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, result ) step("r1 : Delete RP configuration for 225.1.1.1") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.4.17", "group_addr_range": ["225.1.1.1/32"], "delete": True, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify rp-info for group 224.0.0.0/4") iif = "r1-r2-eth1" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address_1, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1 : Verify rp-info for group 225.1.1.1") iif = "r1-r4-eth3" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE, oif, rp_address_2, SOURCE, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r1: rp-info is present for group 225.1.1.1 \n Error: {}".format( tc_name, result ) ) step( "r1 : Verify RPF interface updated in mroute when higher preferred" "RP gets deleted" ) iif = "r1-r2-eth1" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) logger.info("Expected behavior: %s", result) step( "r1 : Verify IIF and OIL in show ip pim state updated when higher" "preferred overlapping RP is deleted" ) result = verify_pim_state(tgen, dut, iif, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step( "r1 : Verfiy upstream IIF updated when higher preferred overlapping" "RP deleted" ) result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step( "r1 : Verify upstream join state and join timer updated when higher" "preferred overlapping RP deleted" ) result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step( "r1 : Verify join is sent to lower preferred RP, when higher" "preferred RP gets deleted" ) step( "r1 : Verify prune is sent to higher preferred RP when higher" " preferred RP gets deleted" ) state_after = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( state_after, dict ), "Testcase{} : Failed \n state_before is not dictionary \n " "Error: {}".format( tc_name, result ) result = verify_state_incremented(state_before, state_after) assert result is True, "Testcase{} : Failed Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_RP_configured_as_LHR_1_p1(request): """ TC_21_1_P1: Verify OIF and RPF for (*,G) and (S,G) when static RP configure in LHR router Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 r1 : LHR/RP r3 : FHR """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface") step("Configure RP on r1 (loopback interface) for the group range" " 224.0.0.0/4") step("Enable the PIM on all the interfaces of r1, r2, r3 and r4 routers") step("Send the IGMP join from r0") step("Send multicast traffic from r5") step("r1 , r2, r3, r4: Delete existing RP configuration" "configure r1(LHR) as RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r3": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Configure r1(LHR) as RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.1.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r2": { "pim": { "rp": [ { "rp_addr": "1.0.1.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r3": { "pim": { "rp": [ { "rp_addr": "1.0.1.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.1.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) shutdown_bringup_interface(tgen, "r1", "lo", False) sleep(5) shutdown_bringup_interface(tgen, "r1", "lo", True) sleep(5) step("r1: Verify RP info") dut = "r1" rp_address = "1.0.1.17" iif = "lo" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", GROUP_ADDRESS, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S, G) upstream join state is joined and join" " timer is running \n Error: {}".format(tc_name, result) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_RP_configured_as_LHR_2_p1(request): """ TC_21_2_P1: Verify OIF and RPF for (*,G) and (S,G) when static RP configure in LHR router Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 r1 : LHR/RP r3 : FHR """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface") step("Configure RP on r1 (loopback interface) for the group range" " 224.0.0.0/4") step("Enable the PIM on all the interfaces of r1, r2, r3 and r4 routers") step("Send multicast traffic from r5") step("Send the IGMP join from r0") step("r1, r2, r3, r4: Delete existing RP configuration," "configure r1(LHR) as RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r3": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1, r2, r3, r4: Configure r1(LHR) as RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.1.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r2": { "pim": { "rp": [ { "rp_addr": "1.0.1.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r3": { "pim": { "rp": [ { "rp_addr": "1.0.1.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.1.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify RP info") dut = "r1" rp_address = "1.0.1.17" iif = "lo" result = verify_pim_rp_info(tgen, TOPO, dut, GROUP_ADDRESS, iif, rp_address, SOURCE) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", GROUP_ADDRESS, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_RP_configured_as_FHR_1_p1(request): """ TC_22_1_P1: Verify OIF and RFP for (*,G) and (S,G) when static RP configure in FHR router Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 r1 : LHR r3 : FHR/RP """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface") step("Configure RP on r2 (loopback interface) for the group range" " 225.1.1.0/24") step("Enable the PIM on all the interfaces of r1, r2, r3 and r4 routers") step("Send the IGMP join from r0") step("Send multicast traffic from r5") step("r1, r2, r3, r4: Delete existing RP configuration" "configure r3(FHR) as RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r3": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1, r2, r3, r4: Configure r3(FHR) as RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.3.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r2": { "pim": { "rp": [ { "rp_addr": "1.0.3.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r3": { "pim": { "rp": [ { "rp_addr": "1.0.3.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.3.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify RP info") dut = "r1" rp_address = "1.0.3.17" iif = "r1-r3-eth2" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", GROUP_ADDRESS, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_RP_configured_as_FHR_2_p2(request): """ TC_22_2_P2: Verify OIF and RFP for (*,G) and (S,G) when static RP configure in FHR router Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 r1 : LHR r3 : FHR/RP """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface") step("Configure RP on r2 (loopback interface) for the group range" " 225.1.1.0/24") step("Enable the PIM on all the interfaces of r1, r2, r3 and r4 routers") step("Send multicast traffic from r5") step("Send the IGMP join from r0") step("r1, r2, r3, r4: Delete existing RP configuration" "configure r3(FHR) as RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r3": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1, r2, r3, r4: Configure r3(FHR) as RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.3.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r2": { "pim": { "rp": [ { "rp_addr": "1.0.3.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r3": { "pim": { "rp": [ { "rp_addr": "1.0.3.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.3.17", "group_addr_range": GROUP_RANGE_ALL, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify RP info") dut = "r1" rp_address = "1.0.3.17" iif = "r1-r3-eth2" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", GROUP_ADDRESS, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_SPT_RPT_path_different_p1(request): """ TC_23_P1: Verify (*,G) and (S,G) populated correctly when RPT and SPT path are different Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 r1: LHR r2: RP r3: FHR """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface and send IGMP join (225.1.1.1) to r1") step("Configure RP on r2 (loopback interface) for the group range" " 224.0.0.0/4") step("Enable the PIM on all the interfaces of r1, r2, r3 and r4 routers") step("Send multicast traffic from r3") step("r2: Verify RP info") dut = "r2" rp_address = "1.0.2.17" iif = "lo" result = verify_pim_rp_info(tgen, TOPO, dut, GROUP_ADDRESS, iif, rp_address, SOURCE) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") dut = "r1" oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", GROUP_ADDRESS, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream IIF interface") dut = "r2" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream IIF interface") dut = "r2" iif = "r2-r3-eth1" result = verify_upstream_iif( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, joinState="NotJoined" ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r2: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r2: Verify (S, G) ip mroutes") oif = "none" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_clear_pim_configuration_p1(request): """ TC_25_P1: Verify (*,G) and (S,G) populated correctly after clearing the PIM,IGMP and mroutes joins Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 | | |_____________| r4 r1 : LHR r2 : RP r3 : FHR """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface") step("Configure RP on r2 (loopback interface) for the group range" " 224.0.0.0/4") step("Enable the PIM on all the interfaces of r1, r2, r3 and r4 routers") step("Send the IGMP join from r0") step("Send multicast traffic from r5") step("r2: Verify RP info") dut = "r2" rp_address = "1.0.2.17" oif = "lo" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, oif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") dut = "r1" iif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, iif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", GROUP_ADDRESS, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") dut = "r1" iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups timer restarted") result = clear_ip_igmp_interfaces(tgen, dut) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify PIM neighbor timer restarted") result = clear_ip_pim_interfaces(tgen, dut) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify PIM mroute timer restarted") result = clear_ip_mroute_verify(tgen, dut) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) # Uncomment next line for debugging # tgen.mininet_cli() write_test_footer(tc_name) def test_restart_pimd_process_p2(request): """ TC_26_P2: Restart the PIMd process and verify PIM upstream and mroutes entries Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 | | |_____________| r4 r1 : LHR r2 : RP r3 : FHR """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface and send IGMP join (225.1.1.1) to R1") step("Configure RP on r3 (loopback interface) for the group range" " 224.0.0.0/4") step("Enable the PIM on all the interfaces of r1, r2, r3 and r4 routers") step("Send multicast traffic from R3") step("Restart the PIMd process") step("r2: Verify RP info") dut = "r2" rp_address = "1.0.2.17" oif = "lo" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, oif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") dut = "r1" oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", GROUP_ADDRESS, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream IIF interface") dut = "r2" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) dut = "r1" iif = "r1-r2-eth1" oil = "r1-r0-eth0" logger.info("waiting for 10 sec to make sure old mroute time is higher") sleep(10) # Why do we then wait 60 seconds below before checking the routes? uptime_before = verify_ip_mroutes( tgen, dut, STAR, GROUP_ADDRESS, iif, oil, return_uptime=True, mwait=60 ) assert isinstance(uptime_before, dict), "Testcase{} : Failed Error: {}".format( tc_name, result ) step("r1: Kill pimd process") kill_router_daemons(tgen, "r1", ["pimd"]) step("r1 : Start pimd process") start_router_daemons(tgen, "r1", ["pimd"]) logger.info("Waiting for 5sec to get PIMd restarted and mroute" " re-learned..") sleep(5) # Why do we then wait 10 seconds below before checking the routes? uptime_after = verify_ip_mroutes( tgen, dut, STAR, GROUP_ADDRESS, iif, oil, return_uptime=True, mwait=10 ) assert isinstance(uptime_after, dict), "Testcase{} : Failed Error: {}".format( tc_name, result ) result = verify_mroute_repopulated(uptime_before, uptime_after) assert result is True, "Testcase{} : Failed Error: {}".format(tc_name, result) write_test_footer(tc_name) def test_multiple_groups_same_RP_address_p2(request): """ TC_27_P2: Configure multiple groups (10 grps) with same RP address Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 r1 : LHR r2 : RP r3 : FHR """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface and send IGMP join (225.1.1.1) to r1") step("Configure RP on r2 (loopback interface) for the group range" "225.1.1.0/24") step("Enable the PIM on all the interfaces of r1-r2-r3") step("Send multicast traffic from r5 to all the groups") step("r1 : Remove the groups to RP mapping one by one") step("r1: Shut the upstream interfaces") step("r1: No shut the upstream interfaces") step("r1: Configure the RP again") step("r1: Shut the receiver interfaces") step("r1: No Shut the receiver interfaces") step("r2: Verify RP info") step("r2: verify rp-info") dut = "r2" rp_address = "1.0.2.17" oif = "lo" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, oif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) group_address_list = GROUP_ADDRESS_LIST_1 + GROUP_ADDRESS_LIST_2 step("r0: Send IGMP join for 10 groups") result = app_helper.run_join("r0", group_address_list, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") dut = "r1" oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", group_address_list, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") dut = "r1" iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, group_address_list ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream IIF interface") dut = "r2" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, group_address_list, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream IIF interface") dut = "r2" iif = "r2-r3-eth1" result = verify_upstream_iif( tgen, dut, iif, SOURCE_ADDRESS, group_address_list, joinState="NotJoined" ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, group_address_list, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r2: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r2: Verify (S, G) ip mroutes") oif = "none" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Delete RP configuration") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Shut the interface r1-r2-eth1 from R1 to R2") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: No Shut the interface r1-r2-eth1 from R1 to R2") intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Configure RP") input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Shut the interface r1-r0-eth0 from R1 to R2") intf = "r1-r0-eth0" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: No Shut the interface r1-r0-eth0 from R1 to R2") intf = "r1-r0-eth0" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Verify (*, G) upstream IIF interface") dut = "r1" iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, group_address_list ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream IIF interface") dut = "r2" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream IIF interface") dut = "r2" iif = "r2-r3-eth1" result = verify_upstream_iif( tgen, dut, iif, SOURCE_ADDRESS, group_address_list, joinState="NotJoined" ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, group_address_list, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r2: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r2: Verify (S, G) ip mroutes") oif = "none" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, group_address_list, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, SOURCE_ADDRESS, group_address_list, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) write_test_footer(tc_name) def test_multiple_groups_different_RP_address_p2(request): """ TC_28_P2: Verify IIF and OIL in updated in mroute when upstream interface configure as RP Topology used: ________r2_____ | | iperf | | iperf r0-----r1-------------r3-----r5 | | |_____________| r4 r1 : LHR r2 & r4 : RP r3 : FHR """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Delete existing RP configuration") input_dict = { "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) input_dict = { "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_LIST_1, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.4.17", "group_addr_range": GROUP_RANGE_LIST_2, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify RP info") dut = "r2" rp_address = "1.0.2.17" oif = "lo" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_LIST_1, oif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify RP info") dut = "r4" rp_address = "1.0.4.17" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_LIST_2, oif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) group_address_list = GROUP_ADDRESS_LIST_1 + GROUP_ADDRESS_LIST_2 step("r0: Send IGMP join") result = app_helper.run_join("r0", group_address_list, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") dut = "r1" oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, group_address_list) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r5: Send multicast traffic for group 225.1.1.1") result = app_helper.run_traffic("r5", group_address_list, "r3") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") dut = "r1" iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS_LIST_1, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1 ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream IIF interface") dut = "r2" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS_LIST_1, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream IIF interface") iif = "r2-r3-eth1" result = verify_upstream_iif( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, joinState="NotJoined" ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r2: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r2: Verify (S, G) ip mroutes") oif = "none" result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") dut = "r1" iif = "r1-r4-eth3" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS_LIST_2, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2 ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (*, G) upstream IIF interface") dut = "r4" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (*, G) ip mroutes") oif = "r4-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS_LIST_2, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (S, G) upstream IIF interface") iif = "r4-r3-eth1" result = verify_upstream_iif( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, joinState="NotJoined" ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r4: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r4: Verify (S, G) ip mroutes") oif = "none" result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, expected=False ) assert result is not True, "Testcase {} :Failed \n Error: {}".format( tc_name, result ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("Delete RP configuration") input_dict = { "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_LIST_1, "delete": True, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.4.17", "group_addr_range": GROUP_RANGE_LIST_2, "delete": True, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1, r2, r3, r4: Re-configure RP") input_dict = { "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_LIST_1, } ] } }, "r4": { "pim": { "rp": [ { "rp_addr": "1.0.4.17", "group_addr_range": GROUP_RANGE_LIST_2, } ] } }, } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Shut the interface r1-r2-eth1 from R1 to R2") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: No shut the interface r1-r2-eth1 from R1 to R2") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Shut the interface r1-r2-eth1 from R1 to R4") dut = "r1" intf = "r1-r4-eth3" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: No shut the interface r1-r2-eth1 from R1 to r4") dut = "r1" intf = "r1-r4-eth3" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Shut the interface r1-r0-eth0 from R1 to R0") dut = "r1" intf = "r1-r0-eth0" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: No Shut the interface r1-r0-eth0 from R1 to R0") dut = "r1" intf = "r1-r0-eth0" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Verify (*, G) upstream IIF interface") dut = "r1" iif = "r1-r2-eth1" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS_LIST_1, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1 ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream IIF interface") dut = "r2" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS_LIST_1, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream IIF interface") iif = "r2-r3-eth1" result = verify_upstream_iif( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, joinState="NotJoined" ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r2: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r2: Verify (S, G) ip mroutes") oif = "none" result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_1, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream IIF interface") dut = "r1" iif = "r1-r4-eth3" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS_LIST_2, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream IIF interface") iif = "r1-r3-eth2" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2 ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (S, G) ip mroutes") result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (*, G) upstream IIF interface") dut = "r4" iif = "lo" result = verify_upstream_iif(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (*, G) upstream join state and join timer") result = verify_join_state_and_timer(tgen, dut, iif, STAR, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (*, G) ip mroutes") oif = "r4-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS_LIST_2, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (S, G) upstream IIF interface") iif = "r4-r3-eth1" result = verify_upstream_iif( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, joinState="NotJoined" ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r4: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r4: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r4: Verify (S, G) ip mroutes") oif = "none" result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream IIF interface") dut = "r3" iif = "r3-r5-eth3" result = verify_upstream_iif(tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (S, G) upstream join state and join timer") result = verify_join_state_and_timer( tgen, dut, iif, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "r3: (S,G) upstream state is joined and join timer is running\n Error: {}".format( tc_name, result ) ) step("r3: Verify (S, G) ip mroutes") oif = "r3-r1-eth0" result = verify_ip_mroutes( tgen, dut, SOURCE_ADDRESS, GROUP_ADDRESS_LIST_2, iif, oif ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) write_test_footer(tc_name) def test_shutdown_primary_path_p1(request): """ TC_30_P1: Verify IIF and OIL change to other path after shut the primary path Topology used: ________r2_____ | | iperf | | r0-----r1-------------r3 """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) # Steps to execute step("Enable IGMP on r1 interface") step("Configure RP on r2 (loopback interface) for the group range" " 224.0.0.0/4") step("r1: Shut the link from r1 to r2") step("r3: Shut the link from r1 to r3") step("r1: No shut the link from r1 to r2") step("r3: No shut the link from r1 to r3") step("r1: Verify RP info") dut = "r1" rp_address = "1.0.2.17" iif = "r1-r2-eth1" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") dut = "r2" iif = "lo" oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Shut the interface r1-r2-eth1 from R1 to R2") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, False) step( "Verify after shut the R1 to R2 link , verify join is reaching to RP" "via other path" ) logger.info("Waiting for 110 sec only if test run with crucible") step("r1: Verify (*, G) ip mroutes") dut = "r1" iif = "r1-r3-eth2" oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") dut = "r2" iif = "lo" oif = "r2-r3-eth1" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (*, G) ip mroutes") dut = "r3" iif = "r3-r2-eth1" oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Shut the link from R1 to R3 from R3 node") dut = "r3" intf = "r3-r1-eth0" shutdown_bringup_interface(tgen, dut, intf, False) step( "Verify after shut of R1 to R3 link , verify (*,G) entries got" " cleared from all the node R1, R2, R3" ) step("r1: Verify (*, G) ip mroutes") dut = "r1" iif = "r1-r3-eth2" oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: (*,G) mroutes are not cleared after shut of R1 to R3 link\n Error: {}".format( tc_name, result ) ) step("r2: Verify (*, G) ip mroutes") dut = "r2" iif = "lo" oif = "r2-r3-eth1" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r2: (*,G) mroutes are not cleared after shut of R1 to R3 link\n Error: {}".format( tc_name, result ) ) step("r3: Verify (*, G) ip mroutes") dut = "r3" iif = "r3-r2-eth1" oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r3: (*,G) mroutes are not cleared after shut of R1 to R3 link\n Error: {}".format( tc_name, result ) ) step("r3: No shutdown the link from R1 to R3 from R3 node") dut = "r3" intf = "r3-r1-eth0" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Verify (*, G) ip mroutes") dut = "r1" iif = "r1-r3-eth2" oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") dut = "r2" iif = "lo" oif = "r2-r3-eth1" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r3: Verify (*, G) ip mroutes") dut = "r3" iif = "r3-r2-eth1" oif = "r3-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: No shutdown the link from R1 to R2 from R1 node") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Verify (*, G) ip mroutes") dut = "r1" iif = "r1-r2-eth1" oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes") dut = "r2" iif = "lo" oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) write_test_footer(tc_name) def test_delete_RP_shut_noshut_upstream_interface_p1(request): """ TC_31_P1: Verify RP info and (*,G) mroute after deleting the RP and shut / no shut the RPF interface. Topology used: ________r2_____ | | iperf | | r0-----r1-------------r3 """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface") step("Configure RP on r2 (loopback interface) for the group range" " 224.0.0.0/4") step("r1: Delete the RP config") step("r1: Shut and no shut the upstream interface (R1-R2) connected link") step("r1: Shut and no shut the OIL interface") step("r1: Verify RP info") dut = "r1" rp_address = "1.0.2.17" iif = "r1-r2-eth1" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") dut = "r1" oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes created") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes created") dut = "r2" iif = "lo" oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Delete RP configuration") # Delete RP configuration input_dict = { "r1": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Shut the interface r1-r2-eth1 from R1 to R2") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: No shutdown the interface r1-r2-eth1 from R1 to R2") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Shutdown the OIL interface r1-r0-eth0 from R1 to R0 ") dut = "r1" intf = "r1-r0-eth0" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: No shutdown the OIL interface r1-r0-eth0 from R1 to R0") dut = "r1" intf = "r1-r0-eth0" shutdown_bringup_interface(tgen, dut, intf, True) step("r1: Verify (*, G) ip mroutes cleared") dut = "r1" iif = "r1-r2-eth1" oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: (*,G) mroutes are not cleared after shut of R1 to R0 link\n Error: {}".format( tc_name, result ) ) step("r2: Verify (*, G) ip mroutes cleared") dut = "r2" iif = "lo" oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r2: (*,G) mroutes are not cleared after shut of R1 to R0 link\n Error: {}".format( tc_name, result ) ) write_test_footer(tc_name) def test_delete_RP_shut_noshut_RP_interface_p1(request): """ TC_32_P1: Verify RP info and (*,G) mroute after deleting the RP and shut/ no shut the RPF inteface Topology used: ________r2_____ | | iperf | | r0-----r1-------------r3 """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) step("Creating configuration from JSON") reset_config_on_routers(tgen) app_helper.stop_all_hosts() clear_ip_mroute(tgen) clear_ip_pim_interface_traffic(tgen, TOPO) step("Enable IGMP on r1 interface") step("Configure RP on r2 (lo) for the group range" " 224.0.0.0/4") step("r2: Delete the RP configuration") step("r2: Shut the RP interface (lo)") step("r1: Shut the interface(r1-r2-eth1, r1-r3-eth2) towards rp") step("r1: Verify RP info") dut = "r1" rp_address = "1.0.2.17" iif = "r1-r2-eth1" result = verify_pim_rp_info( tgen, TOPO, dut, GROUP_RANGE_ALL, iif, rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r0: Send IGMP join") result = app_helper.run_join("r0", GROUP_ADDRESS, "r1") assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify IGMP groups") oif = "r1-r0-eth0" result = verify_igmp_groups(tgen, dut, oif, GROUP_ADDRESS) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r1: Verify (*, G) ip mroutes created") result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Verify (*, G) ip mroutes created") dut = "r2" iif = "lo" oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Delete RP configuration") # Delete RP configuration input_dict = { "r2": { "pim": { "rp": [ { "rp_addr": "1.0.2.17", "group_addr_range": GROUP_RANGE_ALL, "delete": True, } ] } } } result = create_pim_config(tgen, TOPO, input_dict) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("r2: Shut the RP interface lo") dut = "r2" intf = "lo" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: Shut the interface r1-r2-eth1 towards RP") dut = "r1" intf = "r1-r2-eth1" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: Shut the interface r1-r3-eth2 towards RP") dut = "r1" intf = "r1-r3-eth2" shutdown_bringup_interface(tgen, dut, intf, False) step("r1: Verify (*, G) ip mroutes cleared") dut = "r1" iif = "r1-r2-eth1" oif = "r1-r0-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r1: (*,G) mroutes are not cleared after shut of R1 to R2 and R3 link\n Error: {}".format( tc_name, result ) ) step("r2: Verify (*, G) ip mroutes cleared") dut = "r2" iif = "lo" oif = "r2-r1-eth0" result = verify_ip_mroutes(tgen, dut, STAR, GROUP_ADDRESS, iif, oif, expected=False) assert result is not True, ( "Testcase {} : Failed \n " "r2: (*,G) mroutes are not cleared after shut of R1 to R2 and R3 link\n Error: {}".format( tc_name, result ) ) write_test_footer(tc_name) if __name__ == "__main__": ARGS = ["-s"] + sys.argv[1:] sys.exit(pytest.main(ARGS))

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fd350836644a8c543f252799388687653c4c82cc

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py

Python

client/bdomain_service.py

zero-os/0-metadata

f316c55c7e041b5f37a6ab5791b28ed19bd46b1a

[ "Apache-2.0" ]

null

client/bdomain_service.py

zero-os/0-metadata

f316c55c7e041b5f37a6ab5791b28ed19bd46b1a

[ "Apache-2.0" ]

18

2018-01-26T11:14:27.000Z

2018-02-16T16:15:42.000Z

client/bdomain_service.py

zero-os/0-metadata

f316c55c7e041b5f37a6ab5791b28ed19bd46b1a

[ "Apache-2.0" ]

null

# DO NOT EDIT THIS FILE. This file will be overwritten when re-running go-raml. from .bdomain import bdomain from .unhandled_api_error import UnhandledAPIError from .unmarshall_error import UnmarshallError class BdomainService: def __init__(self, client): self.client = client def deleteBdomain(self, id, headers=None, query_params=None, content_type="application/json"): """ Delete bdomain It is method for DELETE /bdomain/{id} """ uri = self.client.base_url + "/bdomain/" + id return self.client.delete(uri, None, headers, query_params, content_type) def getBdomain(self, id, headers=None, query_params=None, content_type="application/json"): """ Get bdomain, id=int It is method for GET /bdomain/{id} """ uri = self.client.base_url + "/bdomain/" + id resp = self.client.get(uri, None, headers, query_params, content_type) try: if resp.status_code == 200: return bdomain(resp.json()), resp message = 'unknown status code={}'.format(resp.status_code) raise UnhandledAPIError(response=resp, code=resp.status_code, message=message) except ValueError as msg: raise UnmarshallError(resp, msg) except UnhandledAPIError as uae: raise uae except Exception as e: raise UnmarshallError(resp, e.message) def updateBdomain(self, data, id, headers=None, query_params=None, content_type="application/json"): """ Update bdomain It is method for POST /bdomain/{id} """ uri = self.client.base_url + "/bdomain/" + id resp = self.client.post(uri, data, headers, query_params, content_type) try: if resp.status_code == 200: return bdomain(resp.json()), resp message = 'unknown status code={}'.format(resp.status_code) raise UnhandledAPIError(response=resp, code=resp.status_code, message=message) except ValueError as msg: raise UnmarshallError(resp, msg) except UnhandledAPIError as uae: raise uae except Exception as e: raise UnmarshallError(resp, e.message) def listBdomain(self, headers=None, query_params=None, content_type="application/json"): """ Get a list of bdomains It is method for GET /bdomain """ uri = self.client.base_url + "/bdomain" resp = self.client.get(uri, None, headers, query_params, content_type) try: if resp.status_code == 200: resps = [] for elem in resp.json(): resps.append(bdomain(elem)) return resps, resp message = 'unknown status code={}'.format(resp.status_code) raise UnhandledAPIError(response=resp, code=resp.status_code, message=message) except ValueError as msg: raise UnmarshallError(resp, msg) except UnhandledAPIError as uae: raise uae except Exception as e: raise UnmarshallError(resp, e.message)

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b5d16a922b032b50d8bda988fa68c4a2453f60e9

152

py

Python

tests/data/simple_study/transform_module_simple.py

kids-first/kf-lib-data-ingest

92889efef082c64744a00a9c110d778da7383959

[ "Apache-2.0" ]

3

2018-10-30T17:56:44.000Z

2020-05-27T16:18:05.000Z

tests/data/simple_study/transform_module_simple.py

kids-first/kf-lib-data-ingest

92889efef082c64744a00a9c110d778da7383959

[ "Apache-2.0" ]

344

2018-11-01T16:47:56.000Z

2022-02-23T20:36:21.000Z

tests/data/simple_study/transform_module_simple.py

kids-first/kf-lib-data-ingest

92889efef082c64744a00a9c110d778da7383959

[ "Apache-2.0" ]

1

2020-08-19T21:25:25.000Z

from kf_lib_data_ingest.config import DEFAULT_KEY def transform_function(mapped_df_dict): return {DEFAULT_KEY: list(mapped_df_dict.values())[0]}

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1

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0

7

bd070de83b1c3fec1637ccd58a5648855ac0dec0

4,649

py

Python

tests/operators/contain_test.py

sgissinger/grappa

51157a828d5cfdc731cada9b16255eaaf1cabbe6

[ "MIT" ]

137

2017-03-28T10:19:07.000Z

2022-01-30T19:21:32.000Z

tests/operators/contain_test.py

sgissinger/grappa

51157a828d5cfdc731cada9b16255eaaf1cabbe6

[ "MIT" ]

47

2017-03-19T23:08:48.000Z

2021-01-25T15:18:10.000Z

tests/operators/contain_test.py

grappa-project/grappa

f1861e1572e68f031977e86a5d9eba1957bd164e

[ "MIT" ]

17

2017-03-28T10:39:13.000Z

2021-07-23T20:50:15.000Z

from array import array import pytest def test_should_contain(should): 'hello world' | should.contain('world') | should.contain('hello') 'hello world' | should.contain('w') | should.contain('o') [1, 2, 3] | should.contain(1) | should.contain(3) ('foo', 'bar', 123) | should.contain('bar') | should.contain(123) {'foo', 'bar', 123} | should.contain('bar') | should.contain(123) [{'foo': 1}] | should.contain({'foo': 1}) array('i', [1, 2, 3]) | should.contain(1) | should.contain(2) {'foo': 'bar', 'fuu': 2} | should.contain('bar') | should.contain(2) with pytest.raises(AssertionError): 'hello world' | should.contain('planet') with pytest.raises(AssertionError): 'hello world' | should.contain('t') with pytest.raises(AssertionError): [1, 2, 3] | should.contain(4) with pytest.raises(AssertionError): ('foo', 'bar', 123) | should.contain('baz') with pytest.raises(AssertionError): {'foo', 'bar', 123} | should.contain('baz') with pytest.raises(AssertionError): [{'foo': 1}] | should.contain({'foo': 2}) with pytest.raises(AssertionError): array('i', [1, 2, 3]) | should.contain(4) with pytest.raises(AssertionError): {'foo': 'bar', 'fuu': 2} | should.contain('baz') def test_should_contain_any(should): 'hello world' | should.contain('world', 'hello') 'hello world' | should.contain(('world', 'hello')) 'hello world' | should.contain(['world', 'hello']) 'hello world' | should.contain({'world', 'hello'}) 'hello world' | should.contain('w', 'o') 'hello world' | should.contain(('w', 'o')) 'hello world' | should.contain(['w', 'o']) 'hello world' | should.contain({'w', 'o'}) [1, 2, 3] | should.contain(1, 3) [1, 2, 3] | should.contain((1, 3)) [1, 2, 3] | should.contain([1, 3]) [1, 2, 3] | should.contain({1, 3}) ('foo', 'bar', 123) | should.contain('bar', 123) {'foo', 'bar', 123} | should.contain(('bar', 123)) {'foo', 'bar', 123} | should.contain({'bar', 123}) {'foo', 'bar', 123} | should.contain(['bar', 123]) [{'foo': 1}, {'bar': 2}] | should.contain({'foo': 1}, {'bar': 2}) [{'foo': 1}, {'bar': 2}] | should.contain(({'foo': 1}, {'bar': 2})) [{'foo': 1}, {'bar': 2}] | should.contain([{'foo': 1}, {'bar': 2}]) array('i', [1, 2, 3]) | should.contain(1, 2) array('i', [1, 2, 3]) | should.contain((1, 2)) array('i', [1, 2, 3]) | should.contain({1, 2}) array('i', [1, 2, 3]) | should.contain([1, 2]) {'foo': 'bar', 'fuu': 'bor'} | should.contain('bar', 'bor') {'foo': 'bar', 'fuu': 'bor'} | should.contain(('bar', 'bor')) {'foo': 'bar', 'fuu': 'bor'} | should.contain(['bar', 'bor']) {'foo': 'bar', 'fuu': 'bor'} | should.contain({'bar', 'bor'}) def test_should_not_contain_any(should): 'hello planet' | should._not.contain('world', 'hello') 'hello planet' | should._not.contain(('world', 'hello')) 'hello planet' | should._not.contain(['world', 'hello']) 'hello planet' | should._not.contain({'world', 'hello'}) 'hello planet' | should._not.contain('w', 'o') 'hello planet' | should._not.contain(('w', 'o')) 'hello planet' | should._not.contain(['w', 'o']) 'hello planet' | should._not.contain({'w', 'o'}) [1, 2, 3] | should._not.contain(1, 4) [1, 2, 3] | should._not.contain((1, 4)) [1, 2, 3] | should._not.contain([1, 4]) [1, 2, 3] | should._not.contain({1, 4}) ('foo', 'bar', 123) | should._not.contain('baz', 123) {'foo', 'bar', 123} | should._not.contain(('baz', 123)) {'foo', 'bar', 123} | should._not.contain({'baz', 123}) {'foo', 'bar', 123} | should._not.contain(['baz', 123]) [{'foo': 1}, {'bar': 2}] | should._not.contain({'foo': 1}, {'baz': 2}) [{'foo': 1}, {'bar': 2}] | should._not.contain(({'foo': 1}, {'baz': 2})) [{'foo': 1}, {'bar': 2}] | should._not.contain([{'foo': 1}, {'baz': 2}]) array('i', [1, 2, 3]) | should._not.contain(1, 4) array('i', [1, 2, 3]) | should._not.contain((1, 4)) array('i', [1, 2, 3]) | should._not.contain({1, 4}) array('i', [1, 2, 3]) | should._not.contain([1, 4]) {'foo': 'bar', 'fuu': 'bor'} | should._not.contain('baz', 'bor') {'foo': 'bar', 'fuu': 'bor'} | should._not.contain(('baz', 'bor')) {'foo': 'bar', 'fuu': 'bor'} | should._not.contain(['baz', 'bor']) {'foo': 'bar', 'fuu': 'bor'} | should._not.contain({'baz', 'bor'}) def test_should_contain_failures(should): with pytest.raises(AssertionError): () | should.contain('bar') with pytest.raises(AssertionError): 1 | should.contain('bar')

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1fc827a9689323823fb3421220f8563d701ca73a

146

py

Python

apps/users/tests/base_test_utils.py

pixelpassion/django-saas-boilerplate

8888d67181c760708edb18a4832d9002340878fa

[ "MIT" ]

37

2020-11-30T17:05:00.000Z

2022-03-25T11:03:23.000Z

apps/users/tests/base_test_utils.py

gd-js/django-saas-boilerplate

8888d67181c760708edb18a4832d9002340878fa

[ "MIT" ]

5

2021-04-08T21:58:32.000Z

2021-06-10T19:59:56.000Z

apps/users/tests/base_test_utils.py

gd-js/django-saas-boilerplate

8888d67181c760708edb18a4832d9002340878fa

[ "MIT" ]

7

2021-04-24T14:17:16.000Z

2022-02-08T13:38:12.000Z

def mock_users_email_service_function(mocker, func_name): return mocker.patch(f"apps.users.email_service.UsersSaasyEmailService.{func_name}")

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7

1fedeb82e87e3517ad61cb74926e0f2617d1994c

4,107

py

Python

features/steps/image-visualization.py

eaton-lab/toyplot

472f2f2f1bc048e485ade44d75c3ace310be4b41

[ "BSD-3-Clause" ]

438

2015-01-06T20:54:02.000Z

2022-03-15T00:39:33.000Z

features/steps/image-visualization.py

eaton-lab/toyplot

472f2f2f1bc048e485ade44d75c3ace310be4b41

[ "BSD-3-Clause" ]

184

2015-01-26T17:04:47.000Z

2022-02-19T16:29:00.000Z

features/steps/image-visualization.py

eaton-lab/toyplot

472f2f2f1bc048e485ade44d75c3ace310be4b41

[ "BSD-3-Clause" ]

45

2015-07-06T18:00:27.000Z

2022-02-14T12:46:17.000Z

# Copyright 2014, Sandia Corporation. Under the terms of Contract # DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains certain # rights in this software. from behave import * import os import nose.tools import numpy import PIL.Image import toyplot.color import testing art_dir = os.path.abspath(os.path.dirname(__file__)) @given(u'a numpy 1 bit L image') def step_impl(context): context.image = testing.read_png(os.path.join(art_dir, "toyplot-8-L.png")) context.image = context.image > 128 nose.tools.assert_equal(context.image.shape, (256, 256, 1)) nose.tools.assert_equal(context.image.dtype, "bool") @given(u'a numpy 8 bit L image') def step_impl(context): context.image = testing.read_png(os.path.join(art_dir, "toyplot-8-L.png")) nose.tools.assert_equal(context.image.shape, (256, 256, 1)) nose.tools.assert_equal(context.image.dtype, "uint8") @given(u'a numpy 8 bit L image with colormap') def step_impl(context): context.image = testing.read_png(os.path.join(art_dir, "toyplot-8-L.png")) nose.tools.assert_equal(context.image.shape, (256, 256, 1)) nose.tools.assert_equal(context.image.dtype, "uint8") context.image = (context.image, toyplot.color.brewer.map("BlueRed")) @given(u'a numpy 8 bit LA image') def step_impl(context): context.image = testing.read_png(os.path.join(art_dir, "toyplot-8-LA.png")) nose.tools.assert_equal(context.image.shape, (256, 256, 2)) nose.tools.assert_equal(context.image.dtype, "uint8") @given(u'a numpy 8 bit RGB image') def step_impl(context): context.image = testing.read_png(os.path.join(art_dir, "toyplot-8-RGB.png")) nose.tools.assert_equal(context.image.shape, (256, 256, 3)) nose.tools.assert_equal(context.image.dtype, "uint8") @given(u'a numpy 8 bit RGBA image') def step_impl(context): context.image = testing.read_png(os.path.join(art_dir, "toyplot-8-RGBA.png")) nose.tools.assert_equal(context.image.shape, (256, 256, 4)) nose.tools.assert_equal(context.image.dtype, "uint8") @given(u'a pillow 8 bit L image') def step_impl(context): context.image = PIL.Image.open(os.path.join(art_dir, "toyplot-8-L.png")) nose.tools.assert_equal(context.image.size, (256, 256)) nose.tools.assert_equal(context.image.mode, "L") @given(u'a pillow 8 bit L image with colormap') def step_impl(context): context.image = PIL.Image.open(os.path.join(art_dir, "toyplot-8-L.png")) nose.tools.assert_equal(context.image.size, (256, 256)) nose.tools.assert_equal(context.image.mode, "L") context.image = (context.image, toyplot.color.brewer.map("BlueRed")) @given(u'a pillow 8 bit RGB image') def step_impl(context): context.image = PIL.Image.open(os.path.join(art_dir, "toyplot-8-RGB.png")) nose.tools.assert_equal(context.image.size, (256, 256)) nose.tools.assert_equal(context.image.mode, "RGB") @given(u'a pillow 8 bit RGBA image') def step_impl(context): context.image = PIL.Image.open(os.path.join(art_dir, "toyplot-8-RGBA.png")) nose.tools.assert_equal(context.image.size, (256, 256)) nose.tools.assert_equal(context.image.mode, "RGBA") @given(u'a non-square numpy 8 bit L image') def step_impl(context): numpy.random.seed(1234) context.image = numpy.random.uniform(0, 1, size=(10, 5)).repeat(50, axis=0).repeat(50, axis=1) nose.tools.assert_equal(context.image.shape, (500, 250)) nose.tools.assert_equal(context.image.dtype, "float64") @given(u'a non-square numpy 8 bit L image with colormap') def step_impl(context): numpy.random.seed(1234) context.image = numpy.random.uniform(0, 1, size=(10, 5)).repeat(50, axis=0).repeat(50, axis=1) nose.tools.assert_equal(context.image.shape, (500, 250)) nose.tools.assert_equal(context.image.dtype, "float64") context.image = (context.image, toyplot.color.linear.map("Blackbody")) @given(u'a canvas background color') def step_impl(context): context.canvas.style = {"background-color":"lightgray"} @when(u'the image is added to the canvas') def step_impl(context): context.canvas.image(context.image)

34.225

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0.718286

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4.340841

0.15015

0.186787

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0.166033

0.844345

0.800761

0.791768

0.790038

0

0.043212

0.126613

4,107

119

99

34.512605

0.762754

0.040662

0

0.5375

0

0.164972

0

0.3

1

0.175

false

0

0.0875

0

0.2625

0

null

0

1

0

null

0

7

1f174d740ceb5a799b0a4c35ac39191333d4d561

118

py

Python

cumulusci/robotframework/locators_53.py

emregunel/CumulusCI

2cc0b88c50ebde372a17a6849eab268d12a20cfb

[ "BSD-3-Clause" ]

163

2018-09-13T18:49:34.000Z

2022-03-25T08:37:15.000Z

cumulusci/robotframework/locators_53.py

emregunel/CumulusCI

2cc0b88c50ebde372a17a6849eab268d12a20cfb

[ "BSD-3-Clause" ]

1,280

2018-09-11T20:09:37.000Z

2022-03-31T18:40:21.000Z

cumulusci/robotframework/locators_53.py

emregunel/CumulusCI

2cc0b88c50ebde372a17a6849eab268d12a20cfb

[ "BSD-3-Clause" ]

93

2018-09-13T07:29:22.000Z

2022-03-26T23:15:48.000Z

import copy from cumulusci.robotframework import locators_52 lex_locators = copy.deepcopy(locators_52.lex_locators)

19.666667

54

0.855932

16

118

6.0625

0.5625

0.206186

0.268041

0.43299

0

0.037383

0.09322

118

5

55

23.6

0.869159

0

1

0

false

0

0.666667

0

0.666667

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null

1

0

1

0

null

0

1

0

1

0

7

1f440f883cd898edb1edcb87c84935c6b8be9e5a

118,457

py

Python

src/beale_wordlist.py

nwillhite/diceware

6018162cc26da190964e5d757432bf9ebed0e896

[ "MIT" ]

null

src/beale_wordlist.py

nwillhite/diceware

6018162cc26da190964e5d757432bf9ebed0e896

[ "MIT" ]

null

src/beale_wordlist.py

nwillhite/diceware

6018162cc26da190964e5d757432bf9ebed0e896

[ "MIT" ]

null

beale_wordlist = {65536: '2001', 46422: 'puppy', 65542: '20th', 65543: '21', 65544: '21st', 65545: '22', 65546: '222', 13655: 'berra', 65551: '2222', 65552: '22nd', 13656: 'berry', 65554: '234', 65555: '2345', 65556: '23rd', 65561: '24', 65562: '2468', 16411: 'chess', 16412: 'chest', 16413: 'chevy', 16414: 'chew', 16415: 'chews', 16416: 'chewy', 16421: 'chi', 16422: 'chic', 16423: 'chick', 16424: 'chide', 16425: 'chief', 16426: 'child', 16431: 'chile', 16432: 'chili', 16433: 'chill', 16434: 'chilly', 16435: 'chime', 16436: 'chimp', 16441: 'chin', 16442: 'china', 16443: 'chip', 16444: 'chips', 16445: 'chirp', 16446: 'chisel', 13664: 'beset', 16451: 'chit', 16452: 'chive', 16453: 'chloe', 16454: 'chock', 16455: 'choir', 16456: 'choke', 65611: '26', 65612: '26th', 16461: 'chomp', 16462: 'chop', 16463: 'chopin', 16464: 'chops', 16465: 'choral', 16466: 'chord', 65621: '29', 65622: '29th', 65623: '2:00', 65624: '2:30', 65625: '2nd', 65626: '3', 65631: '3%', 65632: '3/4', 65633: '3/8', 65634: '30', 65635: '30%', 65636: '300', 65553: '23', 65641: '3000', 63613: 'wilkes', 65643: '31', 65644: '31st', 65645: '32', 65646: '32nd', 64363: 'xo', 65651: '33', 65652: '333', 65653: '3333', 65654: '33rd', 65655: '34', 65656: '345', 13643: 'bends', 65661: '3456', 65662: '34th', 16511: 'chore', 16512: 'chose', 16513: 'chosen', 16514: 'chow', 16515: 'chris', 16516: 'chub', 16521: 'chuck', 16522: 'chug', 16523: 'chum', 16524: 'chump', 16525: 'chunk', 16526: 'churn', 16531: 'chute', 16532: 'ci', 16533: 'cia', 16534: 'ciao', 16535: 'cicada', 16536: 'cider', 16541: 'cigar', 16542: 'cilia', 16543: 'cinch', 16544: 'cindy', 16545: 'cipher', 16546: 'circa', 65563: '24th', 61465: 'trots', 16551: 'circe', 16552: 'cite', 16553: 'citrus', 16554: 'city', 16555: 'civet', 16556: 'civic', 65565: '25%', 16561: 'civil', 16562: 'cj', 16563: 'ck', 16564: 'cl', 16565: 'clad', 16566: 'claim', 56424: 'teeth', 66662: ';', 12555: 'athens', 54121: 'sky', 16611: 'clam', 16612: 'clammy', 16613: 'clamp', 16614: 'clan', 16615: 'clang', 16616: 'clank', 16621: 'clap', 16622: 'claps', 16623: 'clara', 16624: 'clark', 16625: 'clash', 16626: 'clasp', 16631: 'class', 16632: 'claus', 16633: 'clause', 16634: 'claw', 16635: 'claws', 16636: 'clay', 63614: 'will', 16641: 'clean', 16642: 'clear', 16643: 'cleat', 16644: 'clef', 16645: 'cleft', 16646: 'clem', 16651: 'cleo', 16652: 'clerk', 16653: 'clever', 16654: 'cliche', 16655: 'click', 16656: 'cliff', 62523: 'vessel', 16661: 'climb', 16662: 'cling', 16663: 'clink', 16664: 'clip', 16665: 'cloak', 16666: 'clock', 55112: 'spits', 55113: 'spitz', 33111: 'hoax', 33112: 'hobby', 33113: 'hobo', 33114: 'hock', 33115: 'hockey', 33116: 'hoe', 33121: 'hog', 33122: 'hogan', 33123: 'hogs', 33124: 'hoist', 33125: 'hold', 33126: 'holds', 33131: 'holdup', 33132: 'hole', 33133: 'holes', 33134: 'holly', 33135: 'holmes', 33136: 'holy', 33141: 'home', 33142: 'honda', 33143: 'hone', 33144: 'honey', 33145: 'honk', 33146: 'honor', 33151: 'hooch', 33152: 'hood', 33153: 'hoof', 33154: 'hook', 33155: 'hooks', 33156: 'hookup', 33161: 'hoop', 33162: 'hoot', 33163: 'hop', 33164: 'hope', 33165: 'hopes', 33166: 'hops', 33211: 'horde', 33212: 'horn', 33213: 'horny', 33214: 'horse', 33215: 'hose', 33216: 'host', 33221: 'hot', 33222: 'hotel', 33223: 'hotrod', 33224: 'hound', 33225: 'hour', 33226: 'house', 33231: 'hovel', 33232: 'hover', 33233: 'how', 33234: 'howdy', 33235: 'howl', 33236: 'howls', 65614: '27th', 33241: 'hoyle', 33242: 'hp', 33243: 'hq', 33244: 'hr', 33245: 'hrh', 33246: 'hs', 65616: '28th', 33251: 'ht', 33252: 'hu', 33253: 'hub', 33254: 'hubbub', 33255: 'hubby', 33256: 'hubs', 61665: 'tycoon', 33261: 'hue', 33262: 'hues', 33263: 'huey', 33264: 'huff', 33265: 'hug', 33266: 'huge', 12565: 'atoms', 54123: 'slab', 56211: 'tack', 33311: 'hugh', 33312: 'hugo', 33313: 'hugs', 33314: 'huh', 33315: 'hula', 33316: 'hulk', 33321: 'hull', 33322: 'hum', 33323: 'human', 33324: 'humid', 33325: 'humor', 33326: 'hump', 63616: 'willy', 33331: 'humps', 33332: 'hums', 33333: 'humus', 33334: 'hun', 33335: 'hunch', 33336: 'hung', 56212: 'tacky', 33341: 'hunk', 33342: 'hunt', 33343: 'hunts', 33344: 'hurl', 33345: 'huron', 33346: 'hurrah', 66115: '38th', 66116: '39', 33351: 'hurry', 33352: 'hurt', 33353: 'hush', 33354: 'husk', 33355: 'husky', 33356: 'hut', 66125: '4', 66126: '4%', 33361: 'hutch', 33362: 'hv', 33363: 'hw', 33364: 'hwy', 33365: 'hx', 33366: 'hy', 66135: '40th', 66136: '41', 66141: '41st', 66142: '42', 66143: '42nd', 66144: '43', 66145: '4321', 66146: '43rd', 66151: '44', 66152: '444', 66153: '4444', 66154: '44th', 66155: '45', 66156: '45%', 66161: '456', 66162: '4567', 66163: '45th', 66164: '46', 66165: '46th', 66166: '47', 55123: 'sponge', 65642: '30th', 33411: 'hyde', 33412: 'hydra', 33413: 'hyena', 33414: 'hymn', 33415: 'hymnal', 33416: 'hype', 33421: 'hyper', 33422: 'hypo', 33423: 'hz', 33424: 'i', 33425: "i'd", 33426: "i'll", 33431: "i'm", 33432: "i's", 33433: "i've", 33434: 'ia', 33435: 'ian', 33436: 'ib', 33441: 'ibid', 33442: 'ibm', 33443: 'ibsen', 33444: 'ic', 33445: 'icbm', 33446: 'ice', 66215: '49th', 66216: '4:00', 33451: 'iced', 33452: 'icicle', 33453: 'icing', 33454: 'icky', 33455: 'icon', 33456: 'icons', 66225: '5/8', 66226: '50', 33461: 'icy', 33462: 'id', 33463: 'ida', 33464: 'idaho', 33465: 'idea', 33466: 'ideal', 66235: '51', 66236: '51st', 66241: '52', 66242: '52nd', 66243: '53', 66244: '53rd', 66245: '54', 66246: '54th', 66251: '55', 66252: '55%', 66253: '555', 66254: '5555', 64433: 'xz', 66256: '56', 66261: '567', 66262: '5678', 66263: '56th', 66264: '57', 66265: '57th', 66266: '58', 33511: 'ideas', 33512: 'idiom', 33513: 'idiot', 33514: 'idle', 33515: 'idly', 33516: 'idol', 33521: 'idols', 33522: 'ie', 33523: 'if', 33524: 'iffy', 33525: 'ig', 33526: 'igloo', 33531: 'ignite', 33532: 'igor', 33533: 'ih', 33534: 'ii', 33535: 'iii', 33536: 'iiii', 65664: '35%', 33541: 'ij', 33542: 'ijk', 33543: 'ik', 33544: 'ike', 33545: 'il', 33546: 'iliad', 66315: '5:30', 66316: '5th', 65666: '36', 33551: 'ill', 33552: 'im', 33553: 'image', 33554: 'imbibe', 33555: 'imf', 33556: 'imp', 66325: '600', 66326: '6000', 33561: 'impel', 33562: 'imply', 33563: 'import', 33564: 'imps', 33565: 'in', 33566: 'inane', 66335: '62nd', 66336: '63', 66341: '63rd', 66342: '64', 66343: '65', 66344: '65%', 66345: '65th', 66346: '66', 13666: 'best', 66351: '666', 66352: '6666', 66353: '66th', 66354: '67', 66355: '678', 66356: '6789', 66361: '67th', 66362: '68', 66363: '68th', 66364: '69', 66365: '69th', 63313: 'was', 56221: 'taffy', 33611: 'inc', 33612: 'inca', 33613: 'incest', 33614: 'inch', 33615: 'incur', 33616: 'index', 33621: 'india', 33622: 'indies', 33623: 'indy', 33624: 'inept', 33625: 'inert', 33626: 'infamy', 63314: 'wash', 33631: 'infect', 33632: 'infer', 33633: 'info', 33634: 'ingot', 33635: 'inhale', 33636: 'ink', 56222: 'taft', 33641: 'inky', 33642: 'inlay', 33643: 'inlet', 33644: 'inn', 33645: 'inner', 33646: 'inns', 66415: '7/8', 66416: '70', 33651: 'input', 33652: 'insect', 33653: 'inset', 33654: 'insult', 33655: 'intel', 33656: 'intend', 66425: '71', 63315: 'wasp', 33661: 'inter', 33662: 'into', 33663: 'intro', 33664: 'invoke', 33665: 'io', 33666: 'ion', 66435: '74', 66436: '74th', 55132: 'spoon', 66441: '75', 66442: '75%', 66443: '75th', 66444: '76', 66445: '76th', 66446: '77', 66451: '777', 66452: '7777', 66453: '77th', 66454: '78', 66455: '789', 63316: 'wasps', 66461: '79', 66462: '79th', 66463: '7:00', 66464: '7:30', 66465: '7th', 66466: '8', 56224: 'tags', 45314: 'pick', 66511: '8%', 66512: '80', 66513: '80%', 66514: '800', 66515: '8000', 66516: '80th', 66521: '81', 66522: '81st', 66523: '82', 66524: '82nd', 66525: '83', 66526: '83rd', 66531: '84', 66532: '84th', 66533: '85', 66534: '85%', 66535: '85th', 66536: '86', 66541: '86th', 66542: '87', 66543: '87th', 66544: '88', 66545: '888', 66546: '8888', 66551: '88th', 66552: '89', 66553: '89th', 66554: '8:00', 66555: '8:30', 66556: '8th', 66561: '9', 66562: '9%', 66563: '9-5', 66564: '90', 31431: 'grace', 66566: '900', 62133: 'ue', 65365: '13', 65665: '35th', 66611: '9000', 66612: '90th', 66613: '91', 66614: '91st', 66615: '92', 66616: '92nd', 66621: '93', 66622: '93rd', 66623: '94', 66624: '94th', 66625: '95', 66626: '95%', 66631: '95th', 64413: 'xs', 66633: '96th', 66634: '97', 66635: '97th', 66636: '98', 66641: '98%', 66642: '98.6', 66643: '9876', 66644: '98th', 66645: '99', 66646: '99%', 66651: '999', 66652: '9999', 66653: '99th', 66654: '9:00', 66655: '9:30', 66656: '9th', 66661: ':', 64414: 'xt', 66663: '=', 66664: '?', 66665: '??', 63323: 'water', 64415: 'xu', 52413: 'sagas', 64416: 'xv', 65366: '13th', 64465: 'yawns', 64421: 'xvi', 34111: 'ions', 34112: 'iota', 34113: 'iou', 34114: 'iowa', 34115: 'ip', 34116: 'iq', 34121: 'ir', 34122: 'ira', 34123: 'iran', 34124: 'iraq', 34125: 'iraqi', 34126: 'irate', 34131: 'ire', 34132: 'irene', 34133: 'iris', 34134: 'irish', 34135: 'irk', 34136: 'irked', 34141: 'irma', 34142: 'iron', 34143: 'irons', 34144: 'irony', 34145: 'irvin', 34146: 'is', 34151: 'isaac', 34152: 'isabel', 34153: 'islam', 34154: 'island', 34155: 'isle', 34156: 'ism', 34161: "isn't", 34162: 'israel', 34163: 'issue', 34164: 'isuzu', 34165: 'it', 34166: "it'd", 65515: '1996', 64424: 'xx', 61151: 'tk', 34211: "it'll", 34212: "it's", 34213: 'italy', 34214: 'itch', 34215: 'itchy', 34216: 'item', 34221: 'items', 34222: 'iu', 34223: 'iud', 34224: 'iv', 34225: 'ivan', 34226: 'ivory', 34231: 'ivy', 34232: 'iw', 34233: 'ix', 34234: 'iy', 34235: 'iz', 34236: 'j', 34241: "j's", 34242: 'ja', 34243: 'jab', 34244: 'jack', 34245: 'jackal', 34246: 'jacob', 45331: 'piers', 34251: 'jade', 34252: 'jaded', 34253: 'jag', 34254: 'jaguar', 34255: 'jail', 34256: 'jam', 34261: 'jamb', 34262: 'james', 34263: 'jan', 34264: 'jane', 34265: 'janet', 34266: 'janis', 62313: 'usia', 66132: '40%', 56421: 'teen', 34311: 'japan', 34312: 'jar', 34313: 'jars', 34314: 'jason', 34315: 'jaunt', 34316: 'java', 34321: 'jaw', 34322: 'jaws', 34323: 'jay', 34324: 'jazz', 34325: 'jazzy', 34326: 'jb', 34331: 'jc', 34332: 'jd', 34333: 'je', 34334: 'jean', 34335: 'jeans', 34336: 'jed', 34341: 'jedi', 34342: 'jeep', 34343: 'jeer', 34344: 'jeers', 34345: 'jeff', 34346: 'jello', 34351: 'jelly', 34352: 'jenny', 34353: 'jerk', 34354: 'jerks', 34355: 'jerky', 34356: 'jerry', 34361: 'jersey', 34362: 'jesse', 34363: 'jest', 34364: 'jesus', 34365: 'jet', 34366: 'jets', 65513: '1994', 64431: 'xy', 34411: 'jew', 34412: 'jewel', 34413: 'jewish', 34414: 'jf', 34415: 'jfk', 34416: 'jg', 34421: 'jh', 34422: 'ji', 34423: 'jiffy', 34424: 'jig', 34425: 'jiggle', 34426: 'jigs', 62314: 'ussr', 34431: 'jill', 34432: 'jilt', 34433: 'jim', 34434: 'jimmy', 34435: 'jinx', 34436: 'jive', 66133: '400', 34441: 'jj', 34442: 'jjj', 34443: 'jjjj', 34444: 'jk', 34445: 'jkl', 34446: 'jl', 34451: 'jm', 34452: 'jn', 34453: 'jo', 34454: 'joan', 34455: 'job', 34456: 'jobs', 34461: 'jock', 34462: 'jockey', 34463: 'jody', 34464: 'joe', 34465: 'joel', 34466: 'joey', 64434: 'y', 34511: 'jog', 34512: 'jogs', 34513: 'john', 34514: 'join', 34515: 'joins', 34516: 'joint', 34521: 'joke', 34522: 'joker', 34523: 'jokes', 34524: 'jolly', 34525: 'jolt', 34526: 'jonas', 34531: 'jones', 34532: 'jose', 34533: 'josef', 34534: 'josh', 34535: 'joshua', 34536: 'jostle', 34541: 'jot', 34542: 'jots', 34543: 'joust', 34544: 'jove', 34545: 'jowl', 34546: 'jowls', 34551: 'joy', 34552: 'joyce', 34553: 'jp', 34554: 'jq', 34555: 'jr', 34556: 'js', 34561: 'jt', 34562: 'ju', 34563: 'juan', 34564: 'judas', 34565: 'jude', 34566: 'judge', 55163: 'spy', 34611: 'judo', 34612: 'judy', 34613: 'jug', 34614: 'juggle', 34615: 'jugs', 34616: 'juice', 34621: 'juicy', 34622: 'jul', 34623: 'julep', 34624: 'jules', 34625: 'julia', 34626: 'julie', 34631: 'julio', 34632: 'july', 42616: 'ms', 34634: 'jump', 34635: 'jumps', 34636: 'jumpy', 34641: 'jun', 34642: 'june', 34643: 'jung', 34644: 'junk', 34645: 'junky', 34646: 'juno', 34651: 'junta', 34652: 'juror', 34653: 'jury', 34654: 'just', 34655: 'jut', 34656: 'jute', 34661: 'jv', 34662: 'jw', 34663: 'jx', 34664: 'jy', 34665: 'jz', 34666: 'k', 63123: 'vq', 62643: 'vivid', 62425: 'vault', 51111: 'rag', 51112: 'rage', 51113: 'raged', 51114: 'rags', 51115: 'raid', 51116: 'raids', 51121: 'rail', 51122: 'rails', 51123: 'rain', 51124: 'rains', 51125: 'rainy', 51126: 'raise', 51131: 'rake', 51132: 'raked', 51133: 'rakes', 51134: 'rally', 51135: 'ralph', 51136: 'ram', 51141: 'rambo', 51142: 'ramp', 51143: 'rams', 51144: 'ramsey', 51145: 'ran', 51146: 'ranch', 64443: 'yahoo', 51151: 'rand', 51152: 'randy', 51153: 'rang', 51154: 'range', 51155: 'rank', 51156: 'ranks', 55224: 'ssw', 51161: 'rant', 51162: 'rants', 51163: 'raoul', 51164: 'rap', 51165: 'rape', 51166: 'raped', 63141: 'vw', 65535: '2000', 51211: 'rapid', 51212: 'raps', 51213: 'rare', 51214: 'rascal', 51215: 'rash', 51216: 'rat', 62263: 'usage', 51221: 'rate', 51222: 'rated', 51223: 'rates', 51224: 'ratio', 51225: 'rats', 51226: 'rattle', 51231: 'rave', 51232: 'raved', 51233: 'raven', 51234: 'raw', 51235: 'ray', 51236: 'rayon', 51241: 'rays', 51242: 'raze', 51243: 'razor', 51244: 'rb', 51245: 'rc', 51246: 'rd', 51251: 're', 51252: 'reach', 51253: 'read', 51254: 'reads', 51255: 'ready', 51256: 'reagan', 65263: '(r)', 51261: 'real', 51262: 'realm', 51263: 'reap', 51264: 'rear', 51265: 'rebel', 51266: 'rebut', 62265: 'used', 45623: 'pol', 66212: '48', 62513: 'vern', 51311: 'recap', 51312: 'recipe', 51313: 'recur', 51314: 'red', 51315: 'redeem', 51316: 'redo', 51321: 'reduce', 51322: 'reed', 51323: 'reeds', 51324: 'reef', 51325: 'reek', 51326: 'reeks', 51331: 'reel', 51332: 'reels', 51333: 'ref', 51334: 'refer', 51335: 'refs', 51336: 'regal', 51341: 'regs', 51342: 'rehab', 51343: 'reich', 51344: 'reid', 51345: 'reign', 51346: 'rein', 51351: 'reins', 51352: 'reject', 51353: 'relax', 51354: 'relay', 51355: 'relic', 51356: 'rely', 51361: 'rem', 51362: 'remedy', 51363: 'remit', 51364: 'remix', 51365: 'rena', 51366: 'rend', 51411: 'renee', 51412: 'renew', 51413: 'reno', 51414: 'renown', 51415: 'rent', 51416: 'rents', 51421: 'rep', 51422: 'repay', 51423: 'repel', 51424: 'repent', 51425: 'reply', 51426: 'reps', 53541: 'signs', 51431: 'rerun', 51432: 'reset', 51433: 'resin', 51434: 'resort', 51435: 'rest', 51436: 'rests', 51441: 'retch', 51442: 'return', 51443: 'reuse', 51444: 'rev', 51445: 'reveal', 51446: 'revel', 51451: 'review', 51452: 'rex', 51453: 'rf', 51454: 'rg', 51455: 'rh', 51456: 'rhino', 51461: 'rho', 51462: 'rhoda', 51463: 'rhyme', 51464: 'ri', 51465: 'rib', 51466: 'ribs', 63363: 'wears', 35111: "k's", 35112: 'ka', 35113: 'kafka', 35114: 'kale', 41351: 'maj', 35116: 'kansas', 35121: 'kant', 35122: 'kappa', 35123: 'kaput', 35124: 'karate', 35125: 'karen', 35126: 'karl', 51511: 'rice', 51512: 'rich', 51513: 'rick', 51514: 'ricky', 35131: 'karma', 35132: 'karol', 35133: 'kate', 35134: 'kathy', 35135: 'katie', 35136: 'kay', 51521: 'ride', 51522: 'rider', 51523: 'ridge', 51524: 'rif', 35141: 'kayak', 35142: 'kayo', 35143: 'kazoo', 35144: 'kb', 35145: 'kc', 35146: 'kd', 51531: 'rig', 51532: 'riggs', 51533: 'right', 51534: 'rigid', 51535: 'rigs', 35152: 'keats', 35153: 'kebob', 35154: 'keel', 35155: 'keen', 35156: 'keep', 51541: 'rim', 51542: 'rims', 51543: 'rind', 51544: 'ring', 51545: 'ringo', 35162: 'keg', 35163: 'kegs', 35164: 'keith', 35165: 'kelly', 35166: 'kelp', 51551: 'rink', 51552: 'rinse', 51553: 'rio', 51554: 'riot', 51555: 'riots', 51556: 'rip', 51561: 'ripe', 51562: 'ripen', 51563: 'ripley', 51564: 'rips', 51565: 'rise', 51566: 'risen', 63366: 'web', 65514: '1995', 42635: 'muffin', 35211: 'ken', 35212: 'kennel', 35213: 'kent', 35214: 'kept', 35215: 'kerry', 35216: 'kettle', 35221: 'kevin', 35222: 'key', 35223: 'keyed', 35224: 'keys', 35225: 'kf', 35226: 'kg', 51611: 'risk', 51612: 'risky', 51613: 'rite', 51614: 'ritual', 35231: 'kgb', 51616: 'river', 35233: 'khaki', 35234: 'khan', 35235: 'khz', 35236: 'ki', 51621: 'rivet', 51622: 'rj', 51623: 'rk', 51624: 'rl', 35241: 'kibitz', 35242: 'kick', 35243: 'kicks', 35244: 'kid', 35245: 'kidney', 35246: 'kids', 51631: 'rna', 51632: 'ro', 51633: 'roach', 51634: 'road', 51635: 'roads', 35252: 'kills', 35253: 'kiln', 35254: 'kilo', 35255: 'kilt', 35256: 'kilts', 51641: 'roar', 51642: 'roast', 51643: 'rob', 51644: 'robe', 35261: 'kim', 35262: 'kin', 35263: 'kind', 35264: 'kinds', 35265: 'king', 35266: 'kings', 51651: 'robs', 51652: 'rock', 51653: 'rocket', 51654: 'rocks', 51655: 'rocky', 51656: 'rod', 51661: 'rode', 51662: 'rodeo', 51663: 'rods', 51664: 'roger', 51665: 'rogue', 51666: 'role', 11343: 'adobe', 44112: 'octave', 44113: 'od', 44114: 'odd', 35311: 'kink', 35312: 'kinky', 35313: 'kiosk', 35314: 'kirby', 35315: 'kirk', 35316: 'kiss', 35321: 'kit', 35322: 'kite', 35323: 'kites', 35324: 'kitty', 35325: 'kiwi', 35326: 'kj', 35331: 'kk', 35332: 'kkk', 35333: 'kkkk', 35334: 'kl', 35335: 'klan', 35336: 'klaus', 35341: 'klaxon', 35342: 'klein', 35343: 'klm', 35344: 'klutz', 35345: 'km', 35346: 'kn', 63235: 'wally', 35351: 'knack', 35352: 'knave', 35353: 'knead', 35354: 'knee', 35355: 'kneel', 35356: 'knees', 11354: 'adult', 35361: 'knelt', 35362: 'knew', 44123: 'oe', 35364: 'knight', 35365: 'knit', 35366: 'knits', 44124: 'of', 63242: 'walt', 63243: 'walton', 35411: 'knob', 35412: 'knobs', 35413: 'knock', 35414: 'knot', 35415: 'knots', 35416: 'know', 11364: 'aerial', 35421: 'known', 35422: 'knows', 35423: 'knox', 35424: 'ko', 35425: 'koala', 35426: 'koan', 44134: 'ogle', 35431: 'kodak', 35432: 'kong', 35433: 'kook', 35434: 'kooks', 35435: 'kooky', 35436: 'koran', 35441: 'korea', 35442: 'kp', 35443: 'kq', 35444: 'kr', 35445: 'kraft', 35446: 'kraut', 35451: 'kris', 35452: 'ks', 35453: 'kt', 35454: 'ku', 35455: 'kudo', 35456: 'kudos', 35461: 'kudzu', 35462: 'kurt', 35463: 'kv', 35464: 'kw', 35465: 'kx', 35466: 'ky', 63255: 'warm', 66431: '72', 52335: 'ry', 63261: 'warn', 35511: 'kz', 35512: 'l', 35513: "l's", 35514: 'la', 35515: 'lab', 35516: 'label', 52341: 'rye', 35521: 'labor', 35522: 'labs', 35523: 'lace', 35524: 'laces', 35525: 'lack', 35526: 'lacks', 63265: 'wars', 35531: 'lacy', 35532: 'lad', 35533: 'ladder', 35534: 'ladle', 35535: 'lads', 35536: 'lady', 35541: 'lag', 35542: 'lager', 35543: 'lagoon', 35544: 'lags', 35545: 'laid', 35546: 'lair', 41423: 'mantle', 35551: 'lake', 35552: 'lakes', 35553: 'lam', 35554: 'lamar', 35555: 'lamb', 35556: 'lambs', 35561: 'lame', 35562: 'lamp', 35563: 'lamps', 35564: 'lana', 35565: 'lance', 35566: 'land', 64613: 'yore', 52353: 'sack', 35611: 'lands', 35612: 'lane', 35613: 'lanky', 35614: 'laos', 35615: 'lap', 35616: 'lapel', 35621: 'laps', 35622: 'lapse', 35623: 'lara', 35624: 'lard', 35625: 'large', 35626: 'lark', 35631: 'larks', 35632: 'larry', 35633: 'larva', 35634: 'larynx', 35635: 'laser', 35636: 'lash', 35641: 'lass', 35642: 'lasso', 35643: 'last', 35644: 'latch', 35645: 'late', 35646: 'later', 56131: 'swish', 35651: 'latest', 35652: 'latex', 35653: 'lathe', 35654: 'latin', 35655: 'laud', 35656: 'laugh', 56321: 'tardy', 35661: 'launch', 35662: 'laura', 35663: 'lava', 35664: 'law', 35665: 'lawn', 35666: 'lawns', 66111: '36th', 65564: '25', 65566: '25th', 52111: 'roll', 52112: 'rolls', 52113: 'roman', 52114: 'rome', 52115: 'romeo', 52116: 'romp', 66112: '37', 52121: 'ron', 52122: 'roof', 52123: 'rook', 52124: 'rookie', 52125: 'room', 52126: 'rooms', 52131: 'roomy', 52132: 'roost', 52133: 'root', 52134: 'roots', 52135: 'rope', 52136: 'rosa', 55111: 'spite', 52141: 'rose', 52142: 'ross', 52143: 'rosy', 52144: 'rot', 52145: 'rote', 52146: 'roth', 66113: '37th', 52151: 'rots', 52152: 'rouge', 52153: 'rough', 52154: 'round', 52155: 'rouse', 52156: 'rout', 55114: 'splat', 52161: 'route', 52162: 'rover', 52163: 'row', 52164: 'rowdy', 52165: 'rows', 52166: 'roy', 66114: '38', 54112: 'skit', 55121: 'spoil', 55122: 'spoke', 52211: 'royal', 52212: 'rp', 52213: 'rpg', 52214: 'rq', 52215: 'rr', 52216: 'rrr', 55124: 'spoof', 52221: 'rrrr', 52222: 'rs', 52223: 'rst', 52224: 'rsvp', 52225: 'rt', 52226: 'ru', 52231: 'rub', 52232: 'rube', 52233: 'rubs', 52234: 'ruby', 52235: 'rude', 52236: 'rudy', 52241: 'rufus', 52242: 'rug', 52243: 'rugged', 52244: 'rugs', 52245: 'ruin', 52246: 'ruins', 52251: 'rule', 52252: 'ruler', 52253: 'rules', 52254: 'rum', 52255: 'rummy', 52256: 'rumor', 55131: 'spool', 52261: 'rump', 52262: 'rumpus', 52263: 'run', 52264: 'rune', 52265: 'runes', 52266: 'rung', 55133: 'spore', 11443: 'aglow', 55134: 'sport', 44212: 'ole', 11445: 'agnew', 44214: 'olive', 63415: 'weds', 63331: 'waved', 52311: 'runs', 52312: 'runt', 52313: 'runway', 52314: 'rural', 52315: 'ruse', 52316: 'rush', 52321: 'russ', 52322: 'rust', 52323: 'rusts', 52324: 'rusty', 52325: 'rut', 52326: 'ruth', 52331: 'ruts', 52332: 'rv', 52333: 'rw', 52334: 'rx', 44221: 'omaha', 52336: 'ryan', 11454: 'aha', 52342: 'rz', 52343: 's', 52344: "s's", 52345: 'sa', 52346: 'saber', 44223: 'omen', 52351: 'sable', 52352: 'sac', 11456: 'ahead', 52354: 'sacks', 52355: 'sacred', 52356: 'sad', 52361: 'saddle', 52362: 'sadly', 52363: 'safari', 52364: 'safe', 52365: 'safer', 52366: 'safes', 66666: '@', 66121: '39th', 11463: 'ahoy', 11464: 'ai', 44233: 'one', 52411: 'sag', 52412: 'saga', 44234: 'onion', 52414: 'sage', 52415: 'sags', 52416: 'said', 66122: '3:00', 52421: 'sail', 52422: 'sails', 52423: 'saint', 52424: 'sake', 52425: 'sal', 52426: 'salad', 55211: 'squid', 52431: 'salami', 52432: 'sale', 52433: 'sales', 52434: 'salk', 52435: 'sally', 52436: 'salon', 52441: 'salt', 52442: 'salts', 52443: 'salty', 52444: 'salvo', 52445: 'sam', 52446: 'same', 52451: 'sammy', 52452: 'samuel', 52453: 'sand', 52454: 'sandal', 52455: 'sands', 52456: 'sandy', 55212: 'squint', 52461: 'sane', 52462: 'sang', 52463: 'sank', 52464: 'santa', 52465: 'sap', 52466: 'sappy', 41515: 'masks', 41516: 'mason', 36111: 'laws', 36112: 'lawson', 36113: 'lax', 36114: 'lay', 36115: 'layer', 36116: 'layla', 36121: 'lays', 36122: 'lazy', 36123: 'lb', 36124: 'lbj', 36125: 'lbs', 36126: 'lc', 52511: 'saps', 52512: 'sara', 52513: 'sarah', 52514: 'saran', 36131: 'lcd', 36132: 'ld', 36133: 'le', 36134: 'lead', 36135: 'leads', 36136: 'leaf', 52521: 'sat', 52522: 'satan', 52523: 'satin', 52524: 'sauce', 36141: 'leafy', 36142: 'leah', 36143: 'leak', 36144: 'leaks', 36145: 'leaky', 36146: 'lean', 52531: 'saul', 52532: 'sauna', 52533: 'saute', 52534: 'save', 36151: 'leap', 36152: 'leaps', 36153: 'lear', 36154: 'learn', 36155: 'leary', 36156: 'lease', 52541: 'savvy', 52542: 'saw', 41525: 'match', 52544: 'sawyer', 36161: 'leash', 36162: 'least', 36163: 'leave', 36164: 'led', 41526: 'mate', 36166: 'ledge', 52551: 'says', 52552: 'sb', 52553: 'sc', 52554: 'scab', 52555: 'scald', 52556: 'scale', 52561: 'scalp', 52562: 'scam', 52563: 'scamp', 52564: 'scan', 52565: 'scans', 52566: 'scar', 36211: 'lee', 36212: 'leech', 36213: 'leer', 36214: 'leers', 36215: 'leery', 36216: 'leeway', 41535: 'matt', 36221: 'left', 36222: 'lefty', 36223: 'leg', 36224: 'legacy', 41536: 'matzo', 36226: 'legion', 52611: 'scare', 52612: 'scarf', 52613: 'scars', 52614: 'scary', 36231: 'legs', 36232: 'lei', 36233: 'lemon', 36234: 'len', 36235: 'lend', 36236: 'lends', 52621: 'scent', 52622: 'school', 52623: 'scoff', 52624: 'scold', 36241: 'length', 36242: 'lenin', 36243: 'lenny', 36244: 'lens', 36245: 'lent', 36246: 'leo', 52631: 'scope', 52632: 'scorch', 52633: 'score', 52634: 'scorn', 36251: 'leon', 36252: 'leona', 36253: 'leper', 36254: 'leroy', 36255: 'less', 36256: 'lest', 52641: 'scour', 52642: 'scout', 52643: 'scow', 52644: 'scowl', 36261: 'let', 36262: "let's", 36263: 'lets', 36264: 'letter', 36265: 'levee', 36266: 'level', 52651: 'scrape', 52652: 'screw', 52653: 'scrip', 52654: 'scrod', 52655: 'scrub', 52656: 'scuba', 52661: 'scuff', 52662: 'scum', 41545: 'maw', 52664: 'sd', 52665: 'sdi', 52666: 'se', 41546: 'max', 66123: '3:30', 66124: '3rd', 36311: 'lever', 36312: 'levis', 36313: 'levy', 36314: 'lewd', 36315: 'lewis', 36316: 'lf', 36321: 'lg', 36322: 'lh', 36323: 'li', 36324: 'liar', 36325: 'liars', 36326: 'lib', 36331: 'libel', 36332: 'libido', 36333: 'libya', 36334: 'lice', 36335: 'lick', 36336: 'licks', 66131: '40', 36341: 'lid', 36342: 'lids', 36343: 'lie', 36344: 'lied', 36345: 'lien', 36346: 'lies', 36351: 'lieu', 36352: 'lieut', 36353: 'life', 36354: 'lift', 36355: 'light', 36356: 'like', 66134: '4000', 36361: 'liked', 36362: 'likes', 36363: 'lil', 36364: 'lilac', 36365: 'lilt', 36366: 'lily', 55213: 'squirm', 55214: 'sr', 55222: 'ssss', 62315: 'usual', 54132: 'slams', 36411: 'lima', 36412: 'limb', 36413: 'limbo', 36414: 'limbs', 36415: 'lime', 36416: 'limit', 36421: 'limp', 36422: 'limps', 36423: 'linda', 36424: 'line', 36425: 'linen', 36426: 'lines', 55223: 'sst', 36431: 'lingo', 36432: 'link', 36433: 'lint', 36434: 'linus', 36435: 'lion', 36436: 'lip', 36441: 'lips', 36442: 'liquid', 36443: 'lira', 36444: 'lisa', 36445: 'lisp', 36446: 'list', 36451: 'listen', 36452: 'lists', 36453: 'liszt', 36454: 'lit', 36455: 'litton', 36456: 'live', 36461: 'liver', 36462: 'livid', 36463: 'liz', 36464: 'liza', 36465: 'lizzie', 36466: 'lj', 55231: 'stabs', 55232: 'stack', 55233: 'stacy', 44311: 'optic', 55234: 'staff', 44312: 'opus', 62546: 'vibes', 11545: 'alarm', 44314: 'or', 36511: 'lk', 36512: 'll', 36513: 'lll', 36514: 'llll', 36515: 'lloyd', 36516: 'lm', 36521: 'lmn', 36522: 'ln', 36523: 'lo', 36524: 'load', 36525: 'loaf', 36526: 'loam', 36531: 'loamy', 36532: 'loan', 36533: 'lob', 36534: 'lobby', 36535: 'lobe', 36536: 'lobs', 36541: 'local', 36542: 'loch', 36543: 'lock', 36544: 'locks', 36545: 'lode', 36546: 'lodge', 11553: 'alden', 36552: 'lofty', 36553: 'log', 36554: 'logan', 36555: 'logic', 36556: 'logo', 44322: 'orbs', 36561: 'logs', 36562: 'loin', 44323: 'orchid', 36564: 'lois', 36565: 'loiter', 36566: 'loki', 11556: 'aleck', 63442: 'wendy', 12355: 'arab', 63413: 'wed', 36611: 'lola', 36612: 'loll', 36613: 'lone', 36614: 'loner', 36615: 'long', 36616: 'longs', 44332: 'ornery', 36621: 'look', 36622: 'looks', 36623: 'loom', 36624: 'loon', 36625: 'loony', 36626: 'loop', 44334: 'os', 36631: 'loose', 36632: 'loot', 36633: 'lop', 36634: 'lopez', 36635: 'lops', 36636: 'lord', 36641: 'lore', 36642: 'loren', 36643: 'lose', 36644: 'loser', 36645: 'loses', 36646: 'loss', 36651: 'lost', 36652: 'lot', 36653: 'lots', 36654: 'lotto', 36655: 'lotus', 36656: 'lou', 56655: 'tidy', 36661: 'loud', 36662: 'louis', 36663: 'louise', 36664: 'louse', 36665: 'lousy', 36666: 'lout', 56323: 'tarp', 52535: 'saved', 52536: 'saves', 63416: 'wee', 13665: 'bess', 41615: 'meadow', 41616: 'meal', 63462: 'wham', 63463: 'wharf', 63464: 'what', 53111: 'sea', 53112: 'seal', 53113: 'seals', 53114: 'seam', 52543: 'saws', 53116: 'seamy', 63466: 'whee', 53121: 'sean', 53122: 'sear', 53123: 'sears', 53124: 'seas', 53125: 'season', 53126: 'seat', 52545: 'sax', 53131: 'seats', 53132: 'sect', 52546: 'say', 53134: 'sedan', 53135: 'seduce', 53136: 'see', 53141: 'seed', 53142: 'seeds', 41625: 'meat', 53144: 'seek', 53145: 'seeks', 53146: 'seem', 41626: 'meaty', 36165: 'leda', 53152: 'seen', 53153: 'seep', 53154: 'seer', 53155: 'seers', 53156: 'sees', 53161: 'seethe', 53162: 'seize', 53163: 'self', 53164: 'sell', 53165: 'sells', 53166: 'semen', 41635: 'medley', 41636: 'meek', 53211: 'semi', 53212: 'send', 53213: 'sends', 53214: 'sense', 53215: 'sent', 53216: 'sentry', 53221: 'sep', 53222: 'sepia', 53223: 'sequel', 53224: 'sequin', 53225: 'serb', 53226: 'serf', 53231: 'serum', 53232: 'serve', 53233: 'servo', 53234: 'set', 53235: 'seth', 53236: 'sets', 53241: 'setup', 53242: 'seven', 53243: 'sever', 53244: 'severe', 53245: 'sew', 53246: 'sewed', 53251: 'sewer', 53252: 'sewn', 53253: 'sews', 53254: 'sex', 53255: 'sexy', 53256: 'sf', 53261: 'sg', 53262: 'sgt', 41645: 'melee', 53264: 'shack', 53265: 'shade', 53266: 'shady', 41646: 'mellow', 66223: '5', 66224: '5%', 64514: 'yea', 63423: 'week', 53311: 'shaft', 53312: 'shaggy', 53313: 'shake', 53314: 'shaken', 53315: 'shaky', 53316: 'shall', 53321: 'sham', 53322: 'shame', 53323: 'shank', 53324: 'shape', 53325: 'share', 53326: 'shari', 66232: '500', 53331: 'shark', 53332: 'sharp', 53333: 'shave', 53334: 'shaw', 53335: 'shawl', 53336: 'she', 55311: 'stat', 53341: "she'd", 53342: "she's", 53343: 'shea', 53344: 'sheaf', 53345: 'shear', 53346: 'sheath', 53351: 'shed', 53352: 'sheds', 53353: 'sheep', 53354: 'sheer', 53355: 'sheet', 53356: 'sheik', 55314: 'statue', 53361: 'shelf', 53362: 'shell', 53363: 'shh', 53364: 'shift', 53365: 'shifty', 53366: 'shin', 44331: 'orgy', 52515: 'sase', 63511: 'wheel', 45423: 'pitch', 55321: 'steady', 55322: 'steak', 53411: 'shine', 53412: 'shins', 53413: 'shiny', 53414: 'ship', 52516: 'sash', 53416: 'shirk', 55324: 'steam', 53421: 'shirt', 53422: 'shock', 53423: 'shoe', 53424: 'shoes', 53425: 'shone', 53426: 'shoo', 44333: 'orphan', 53431: 'shook', 53432: 'shoot', 53433: 'shop', 53434: 'shops', 53435: 'shore', 53436: 'short', 53441: 'shot', 53442: 'shots', 53443: 'shout', 53444: 'shove', 53445: 'show', 53446: 'shown', 53451: 'shows', 53452: 'shrank', 53453: 'shred', 53454: 'shrew', 53455: 'shriek', 53456: 'shrub', 55331: 'steep', 53461: 'shrug', 53462: 'shuck', 53463: 'shun', 53464: 'shut', 53465: 'shuts', 53466: 'shy', 66255: '55th', 55333: 'stein', 44411: 'ovals', 55334: 'stella', 65223: 'zs', 11644: 'alma', 11645: 'almost', 44414: 'ovens', 61414: 'trap', 36225: 'legal', 53512: 'si', 53513: 'sic', 53514: 'sick', 53515: 'sicko', 53516: 'sid', 65613: '27', 53521: 'side', 53522: 'siege', 53523: 'siesta', 53524: 'sieve', 53525: 'sift', 53526: 'sifts', 53531: 'sigh', 53532: 'sighs', 53533: 'sight', 53534: 'sigma', 44421: 'ow', 53536: 'signal', 44422: 'owe', 53542: 'silk', 53543: 'silks', 53544: 'silky', 53545: 'sill', 53546: 'silly', 11655: 'aloof', 53551: 'silo', 53552: 'silt', 44424: 'owens', 53554: 'simms', 53555: 'simon', 53556: 'simons', 53561: 'sims', 53562: 'sin', 53563: 'since', 53564: 'sinew', 53565: 'sing', 53566: 'sings', 65615: '28', 63433: 'welch', 53613: 'sins', 65364: '12th', 11663: 'alps', 44432: 'owls', 11665: 'alsop', 53611: 'sink', 53612: 'sinks', 44434: 'owned', 53614: 'sinus', 53615: 'sip', 53616: 'sips', 53621: 'sir', 53622: 'sire', 53623: 'siren', 53624: 'sis', 53625: 'sit', 53626: 'site', 53631: 'sites', 53632: 'sits', 53633: 'six', 53634: 'sixgun', 45431: 'pity', 53636: 'sixty', 53641: 'size', 53642: 'sizes', 53643: 'sj', 53644: 'sk', 53645: 'skate', 53646: 'skew', 53651: 'ski', 53652: 'skid', 53653: 'skids', 53654: 'skies', 53655: 'skill', 53656: 'skim', 53661: 'skimpy', 53662: 'skims', 53663: 'skin', 53664: 'skip', 53665: 'skips', 53666: 'skirt', 52635: 'scot', 64513: 'ye', 52636: 'scott', 52525: 'saucy', 45433: 'pixel', 63563: 'wield', 63564: 'wife', 63565: 'wig', 52526: 'saudi', 63566: 'wigs', 52645: 'scram', 52646: 'scrap', 64625: 'yoyo', 64516: 'year', 66311: '58th', 66312: '59', 66313: '59th', 66314: '5:00', 64666: 'zaps', 52663: 'scurry', 66321: '6', 66322: '6%', 66323: '60', 21111: 'clod', 21112: 'clog', 21113: 'clone', 21114: 'close', 21115: 'closet', 21116: 'clot', 21121: 'cloth', 21122: 'cloud', 21123: 'clout', 21124: 'clove', 21125: 'clown', 21126: 'cloy', 21131: 'club', 21132: 'clubs', 21133: 'cluck', 21134: 'clue', 21135: 'clues', 21136: 'clump', 21141: 'clumsy', 21142: 'clung', 21143: 'clyde', 21144: 'cm', 21145: 'cn', 21146: 'co', 21151: 'co2', 21152: 'coach', 21153: 'coal', 21154: 'coast', 21155: 'coat', 21156: 'coats', 21161: 'coax', 21162: 'cob', 21163: 'cobble', 21164: 'cobol', 21165: 'cobra', 21166: 'coca', 66333: '61st', 55411: 'stone', 66334: '62', 55412: 'stony', 55413: 'stood', 61263: 'topaz', 55414: 'stool', 63446: 'wes', 21211: 'cock', 21212: 'cockle', 21213: 'cocky', 21214: 'cocoa', 21215: 'cod', 21216: 'coda', 21221: 'coddle', 21222: 'code', 21223: 'coded', 21224: 'codes', 21225: 'cody', 21226: 'coed', 21231: 'cog', 21232: 'cogent', 21233: 'cogs', 21234: 'cohen', 21235: 'coif', 21236: 'coil', 55422: 'store', 21241: 'coils', 21242: 'coin', 21243: 'coins', 21244: 'coke', 21245: 'cola', 21246: 'colby', 55424: 'storm', 21251: 'cold', 21252: 'cole', 21253: 'colon', 21254: 'colony', 21255: 'color', 21256: 'colt', 21261: 'coma', 21262: 'comb', 21263: 'combat', 21264: 'combo', 21265: 'come', 21266: 'comet', 61266: 'tops', 55431: 'stout', 55432: 'stove', 55433: 'stow', 55434: 'strafe', 21311: 'comfy', 21312: 'comic', 21313: 'comma', 21314: 'con', 21315: 'conch', 21316: 'condo', 21321: 'cone', 21322: 'coney', 21323: 'congo', 21324: 'conic', 21325: 'convex', 21326: 'convoy', 21331: 'conway', 21332: 'coo', 21333: 'cook', 21334: 'cooky', 21335: 'cool', 21336: 'coon', 21341: 'coop', 21342: 'cooper', 21343: 'coors', 21344: 'coos', 21345: 'coot', 21346: 'cop', 54115: 'skull', 54116: 'skunk', 21351: 'cope', 21352: 'copes', 21353: 'copper', 21354: 'copra', 21355: 'cops', 21356: 'copy', 54125: 'slack', 54126: 'slain', 21361: 'coral', 21362: 'cord', 21363: 'cords', 21364: 'core', 21365: 'cork', 21366: 'corn', 54135: 'slap', 54136: 'slaps', 54141: 'slash', 54142: 'slate', 54143: 'slater', 54144: 'slave', 54145: 'slaw', 54146: 'slay', 54151: 'sled', 54152: 'sleds', 54153: 'sleek', 54154: 'sleep', 54155: 'sleet', 54156: 'slept', 54161: 'slew', 54162: 'slice', 54163: 'slick', 54164: 'slid', 54165: 'slide', 54166: 'slim', 21411: 'corny', 21412: 'corp', 21413: 'corps', 21414: 'cortex', 21415: 'cost', 21416: 'costs', 21421: 'cot', 21422: 'couch', 21423: 'cough', 21424: 'could', 21425: 'count', 21426: 'coup', 21431: 'coupe', 21432: 'court', 21433: 'cousin', 21434: 'cove', 21435: 'coven', 21436: 'cover', 21441: 'covet', 21442: 'cow', 21443: 'cowboy', 21444: 'cowl', 21445: 'cows', 21446: 'cox', 54215: 'slips', 54216: 'slit', 21451: 'coy', 21452: 'coyote', 21453: 'cozy', 21454: 'cp', 21455: 'cpa', 21456: 'cpr', 54225: 'slop', 54226: 'slope', 21461: 'cpu', 21462: 'cq', 21463: 'cr', 21464: 'crab', 21465: 'crack', 21466: 'craft', 54235: 'sloth', 54236: 'slots', 54241: 'slow', 54242: 'slows', 54243: 'slug', 54244: 'slugs', 54245: 'slum', 54246: 'slump', 54251: 'slums', 54252: 'slung', 54253: 'slur', 54254: 'slurp', 54255: 'slurs', 54256: 'sly', 54261: 'slyly', 54262: 'sm', 54263: 'smack', 54264: 'small', 54265: 'smart', 54266: 'smash', 21511: 'crag', 21512: 'craig', 21513: 'cram', 21514: 'cramp', 21515: 'crane', 21516: 'crank', 21521: 'crap', 21522: 'craps', 21523: 'crash', 21524: 'crass', 21525: 'crate', 21526: 'crater', 21531: 'crave', 21532: 'crawl', 21533: 'craze', 21534: 'crazy', 21535: 'creak', 21536: 'cream', 63664: 'wisp', 21541: 'credit', 21542: 'credo', 21543: 'creed', 21544: 'creek', 21545: 'creep', 21546: 'creole', 54315: 'smith', 54316: 'smock', 63666: 'wit', 21551: 'crepe', 21552: 'crept', 21553: 'cress', 21554: 'crest', 21555: 'crete', 21556: 'crew', 54325: 'smug', 54326: 'smut', 21561: 'crib', 21562: 'cried', 21563: 'crime', 21564: 'crimp', 21565: 'crisp', 21566: 'croak', 54335: 'snail', 54336: 'snake', 54341: 'snap', 54342: 'snaps', 54343: 'snare', 54344: 'snarl', 54345: 'snatch', 54346: 'sneak', 54351: 'sneer', 54352: 'sniff', 54353: 'snip', 54354: 'snipe', 54355: 'snob', 54356: 'snobs', 54361: 'snoop', 54362: 'snore', 54363: 'snort', 54364: 'snot', 54365: 'snout', 54366: 'snow', 14523: 'bonus', 21611: 'crock', 21612: 'crocus', 21613: 'crone', 21614: 'crony', 21615: 'crook', 21616: 'croon', 21621: 'crop', 21622: 'crops', 21623: 'cross', 21624: 'crow', 21625: 'crowd', 21626: 'crown', 21631: 'crows', 21632: 'crt', 21633: 'crud', 21634: 'crude', 21635: 'cruel', 21636: 'crumb', 21641: 'crunch', 21642: 'crush', 21643: 'crust', 21644: 'crux', 21645: 'cry', 21646: 'crypt', 54415: 'snuff', 54416: 'snug', 21651: 'cs', 21652: 'ct', 21653: 'cu', 21654: 'cub', 21655: 'cuba', 21656: 'cuban', 54425: 'soapy', 54426: 'soar', 21661: 'cube', 21662: 'cubic', 21663: 'cubs', 21664: 'cud', 21665: 'cuddle', 21666: 'cue', 54435: 'social', 54436: 'sock', 54441: 'socks', 54442: 'sod', 14535: 'boom', 54444: 'sofa', 54445: 'soft', 54446: 'soften', 54451: 'soggy', 54452: 'soil', 54453: 'soils', 54454: 'sol', 54455: 'solar', 54456: 'sold', 54461: 'sole', 54462: 'solemn', 54463: 'solid', 54464: 'solo', 54465: 'solve', 54466: 'somber', 66422: '700', 66423: '7000', 14541: 'boone', 66424: '70th', 66426: '71st', 54511: 'some', 54512: 'son', 54513: 'sonar', 54514: 'song', 54515: 'songs', 54516: 'sonny', 54521: 'sons', 54522: 'sony', 54523: 'soon', 54524: 'soot', 54525: 'sop', 54526: 'sore', 66432: '72nd', 54531: 'sorry', 54532: 'sort', 54533: 'sorts', 54534: 'sos', 54535: 'sot', 54536: 'soul', 54541: 'sound', 54542: 'soup', 54543: 'soupy', 54544: 'sour', 54545: 'source', 54546: 'south', 63465: 'wheat', 54551: 'sow', 54552: 'sown', 54553: 'sows', 54554: 'sox', 54555: 'soy', 54556: 'soyuz', 54561: 'sp', 54562: 'spa', 54563: 'space', 54564: 'spade', 54565: 'spain', 54566: 'spam', 54611: 'span', 54612: 'spank', 54613: 'spans', 54614: 'spar', 54615: 'spare', 54616: 'spark', 54621: 'sparks', 54622: 'spas', 54623: 'spasm', 54624: 'spat', 54625: 'spawn', 54626: 'spay', 54631: 'speak', 54632: 'spear', 54633: 'spec', 54634: 'speck', 54635: 'sped', 54636: 'speed', 54641: 'spell', 54642: 'spend', 54643: 'spent', 54644: 'sperm', 54645: 'spew', 54646: 'sphinx', 54651: 'spice', 54652: 'spicy', 54653: 'spies', 54654: 'spike', 54655: 'spiky', 54656: 'spill', 54661: 'spin', 54662: 'spine', 54663: 'spins', 54664: 'spiny', 54665: 'spire', 54666: 'spit', 66456: '78th', 64563: 'yodel', 56121: 'swim', 64564: 'yoga', 64566: 'yoke', 65112: 'zc', 22111: 'cues', 22112: 'cuff', 22113: 'cull', 22114: 'cult', 22115: 'cults', 22116: 'cup', 65113: 'zd', 22121: 'cupful', 22122: 'cupid', 22123: 'cups', 22124: 'cur', 22125: 'curb', 22126: 'curd', 22131: 'cure', 22132: 'cured', 22133: 'curfew', 22134: 'curie', 22135: 'curio', 22136: 'curl', 22141: 'curls', 22142: 'curry', 22143: 'curse', 22144: 'curt', 22145: 'curve', 22146: 'cusp', 65114: 'ze', 22151: 'cuss', 22152: 'cut', 22153: 'cute', 22154: 'cutlet', 22155: 'cuts', 22156: 'cv', 56122: 'swims', 22161: 'cw', 22162: 'cx', 22163: 'cy', 22164: 'cycle', 22165: 'cynic', 22166: 'cyrus', 22211: 'cyst', 22212: 'cz', 22213: 'czar', 22214: 'czech', 22215: 'd', 22216: 'd&d', 22221: "d's", 22222: 'd-day', 22223: 'da', 22224: 'dab', 22225: 'dad', 22226: 'daddy', 22231: 'daffy', 22232: 'daft', 22233: 'dagger', 22234: 'dahlia', 22235: 'daily', 22236: 'dairy', 22241: 'dais', 22242: 'daisy', 22243: 'dale', 22244: 'dally', 22245: 'dam', 22246: 'dame', 22251: 'damn', 22252: 'damon', 22253: 'damp', 22254: 'damsel', 22255: 'dan', 22256: 'dana', 22261: 'dance', 22262: 'dandy', 22263: 'dane', 22264: 'dang', 22265: 'dank', 22266: 'danny', 22311: 'dante', 22312: 'dare', 22313: 'dared', 22314: 'dares', 22315: 'dark', 22316: 'darken', 22321: 'darn', 22322: 'dart', 22323: 'darts', 22324: 'darwin', 22325: 'daryl', 22326: 'dash', 22331: 'data', 22332: 'date', 22333: 'dates', 22334: 'datum', 22335: 'daub', 22336: 'daunt', 22341: 'dave', 22342: 'david', 22343: 'davis', 22344: 'davy', 22345: 'dawn', 22346: 'day', 55115: 'split', 55116: 'spock', 22351: 'days', 22352: 'daze', 22353: 'dazed', 22354: 'db', 22355: 'dbms', 22356: 'dc', 55125: 'spook', 55126: 'spooky', 65121: 'zebra', 22361: 'dd', 22362: 'ddd', 22363: 'dddd', 22364: 'dds', 22365: 'ddt', 22366: 'de', 55135: 'spot', 55136: 'spots', 55141: 'spout', 55142: 'sprain', 55143: 'spray', 55144: 'spree', 55145: 'sprig', 55146: 'spruce', 55151: 'spry', 55152: 'spud', 55153: 'spun', 55154: 'spunk', 55155: 'spur', 55156: 'spurn', 65122: 'zeke', 55161: 'spurs', 55162: 'spurt', 14655: 'boys', 55164: 'sq', 55165: 'squad', 55166: 'squat', 64515: 'yeah', 22411: 'deacon', 22412: 'dead', 22413: 'deaf', 22414: 'deal', 22415: 'deals', 22416: 'dealt', 22421: 'dean', 22422: 'dear', 22423: 'death', 22424: 'debby', 22425: 'debit', 22426: 'debra', 22431: 'debris', 22432: 'debt', 22433: 'debts', 22434: 'debug', 22435: 'debut', 22436: 'dec', 22441: 'decal', 22442: 'decay', 22443: 'deck', 22444: 'decor', 22445: 'decoy', 22446: 'decree', 55215: 'ss', 55216: 'sse', 22451: 'decry', 22452: 'dee', 22453: 'deed', 22454: 'deeds', 22455: 'deejay', 22456: 'deem', 55225: 'st', 55226: 'stab', 22461: 'deep', 22462: 'deer', 22463: 'def', 22464: 'defect', 22465: 'defer', 22466: 'deform', 55235: 'stag', 55236: 'stage', 55241: 'stain', 55242: 'stair', 55243: 'stake', 55244: 'stale', 55245: 'stalk', 55246: 'stall', 55251: 'stamp', 55252: 'stan', 55253: 'stance', 55254: 'stand', 55255: 'stank', 55256: 'star', 55261: 'stare', 55262: 'stark', 55263: 'starr', 55264: 'stars', 55265: 'start', 55266: 'stash', 55221: 'sss', 22511: 'deft', 22512: 'defy', 22513: 'deify', 22514: 'deity', 22515: 'del', 22516: 'delay', 22521: 'delhi', 22522: 'deli', 22523: 'delia', 22524: 'della', 22525: 'delta', 22526: 'deluxe', 22531: 'delve', 22532: 'demo', 22533: 'demon', 22534: 'demur', 22535: 'den', 22536: 'denial', 22541: 'denim', 22542: 'denny', 22543: 'dense', 22544: 'dent', 22545: 'dents', 22546: 'deny', 55315: 'stay', 55316: 'stays', 22551: 'depot', 22552: 'dept', 22553: 'depth', 22554: 'deputy', 22555: 'derby', 22556: 'derek', 55325: 'steed', 55326: 'steel', 66565: '90%', 22561: 'desist', 22562: 'desk', 22563: 'desks', 22564: 'detach', 22565: 'deter', 22566: 'detox', 55335: 'stem', 55336: 'stems', 55341: 'step', 55342: 'steps', 55343: 'stern', 55344: 'steve', 55345: 'stew', 55346: 'stick', 55351: 'stiff', 55352: 'still', 55353: 'sting', 55354: 'stingy', 55355: 'stink', 55356: 'stint', 55361: 'stir', 55362: 'stirs', 55363: 'stock', 55364: 'stoke', 55365: 'stole', 55366: 'stomp', 22611: 'deuce', 22612: 'devil', 22613: 'devoid', 22614: 'dew', 22615: 'dewey', 22616: 'dewy', 22621: 'df', 22622: 'dg', 22623: 'dh', 22624: 'di', 22625: 'dial', 22626: 'dials', 22631: 'diana', 22632: 'diane', 22633: 'diaper', 22634: 'diary', 22635: 'dibs', 22636: 'dice', 22641: 'dick', 22642: 'did', 22643: 'die', 22644: 'died', 22645: 'diego', 22646: 'dies', 55415: 'stoop', 55416: 'stop', 22651: 'diesel', 22652: 'diet', 22653: 'diets', 22654: 'dig', 22655: 'digit', 22656: 'digs', 55425: 'stormy', 55426: 'story', 22661: 'dike', 22662: 'dilate', 22663: 'dill', 22664: 'dim', 22665: 'dime', 22666: 'dimes', 55435: 'strap', 55436: 'straw', 55441: 'stray', 55442: 'strep', 55443: 'strike', 55444: 'strip', 55445: 'stroll', 55446: 'strum', 55451: 'strut', 55452: 'stu', 55453: 'stuart', 55454: 'stub', 55455: 'stuck', 55456: 'stud', 65132: 'zf', 55461: 'study', 55312: 'state', 55463: 'stuffy', 55464: 'stump', 55465: 'stun', 55466: 'stung', 36551: 'loft', 55313: 'stats', 55511: 'stunk', 55512: 'stuns', 55513: 'stunt', 55514: 'sty', 55515: 'style', 55516: 'styx', 65134: 'zh', 55521: 'su', 55522: 'suave', 55523: 'sub', 55524: 'subs', 55525: 'subtle', 55526: 'such', 55531: 'suck', 55532: 'sucks', 55533: 'suds', 55534: 'sue', 55535: 'sued', 55536: 'suede', 36563: 'loins', 55541: 'sues', 55542: 'suey', 55543: 'sugar', 55544: 'suit', 55545: 'suite', 55546: 'suits', 55551: 'sulk', 55552: 'sulks', 55553: 'sulky', 55554: 'sultry', 55555: 'sum', 55556: 'sumac', 55561: 'summon', 55562: 'sumo', 55563: 'sums', 55564: 'sun', 55565: 'sung', 55566: 'sunk', 46431: 'pus', 55611: 'sunny', 55612: 'suns', 55613: 'sunset', 55614: 'sunup', 55615: 'sup', 55616: 'super', 61364: 'tracy', 55621: 'supt', 55622: 'sure', 55623: 'surf', 55624: 'surge', 55625: 'susan', 55626: 'sushi', 55631: 'susie', 55632: 'sutton', 55633: 'suzy', 55634: 'sv', 55635: 'sven', 55636: 'sw', 55641: 'swab', 55642: 'swag', 55643: 'swam', 55644: 'swami', 55645: 'swamp', 55646: 'swampy', 55651: 'swan', 55652: 'swank', 55653: 'swans', 55654: 'swap', 55655: 'swarm', 55656: 'swat', 65214: 'zoos', 55661: 'sway', 55662: 'sways', 55663: 'swear', 55664: 'sweat', 55665: 'sweaty', 55666: 'swede', 66231: '50%', 56411: 'tear', 62413: 'vans', 56412: 'tease', 66632: '96', 62414: 'vapor', 66233: '5000', 62415: 'vary', 66234: '50th', 55323: 'steal', 62416: 'vase', 23111: 'dimly', 23112: 'dims', 23113: 'din', 23114: 'dinah', 23115: 'dine', 23116: 'diner', 62566: 'viii', 23121: 'ding', 23122: 'dingo', 23123: 'dingy', 23124: 'dint', 23125: 'diode', 23126: 'dip', 23131: 'dips', 23132: 'dire', 23133: 'dirge', 23134: 'dirk', 23135: 'dirt', 23136: 'dirty', 31163: 'glance', 23141: 'disc', 23142: 'disco', 23143: 'dish', 23144: 'disk', 23145: 'disney', 23146: 'ditch', 23151: 'ditto', 23152: 'ditty', 23153: 'diva', 23154: 'divan', 23155: 'dive', 23156: 'dives', 23161: 'divot', 23162: 'dixie', 23163: 'dizzy', 23164: 'dj', 23165: 'dk', 23166: 'dl', 23211: 'dm', 23212: 'dn', 23213: 'dna', 23214: 'do', 23215: 'dobro', 23216: 'doc', 63513: 'where', 23221: 'dock', 23222: 'docket', 23223: 'doctor', 23224: 'dodge', 23225: 'dodo', 23226: 'doe', 23231: 'does', 23232: 'doff', 23233: 'dog', 23234: 'dogma', 23235: 'dogs', 23236: 'doily', 23241: 'doing', 23242: 'dolby', 23243: 'dole', 23244: 'doll', 23245: 'dolly', 23246: 'dolt', 63514: 'whew', 23251: 'dome', 23252: 'domed', 23253: 'domino', 23254: 'don', 23255: "don't", 23256: 'done', 23261: 'donna', 23262: 'donor', 23263: 'donut', 23264: 'doom', 23265: 'door', 23266: 'dope', 63515: 'which', 55332: 'steer', 63516: 'whiff', 23311: 'dopey', 23312: 'dora', 23313: 'doris', 23314: 'dorm', 23315: 'dose', 23316: 'dot', 53511: 'shyly', 23321: 'dote', 23322: 'dots', 23323: 'double', 23324: 'doubt', 23325: 'doug', 23326: 'dough', 61232: 'tom', 23331: 'douse', 23332: 'dove', 23333: 'doves', 23334: 'dowel', 23335: 'down', 23336: 'dowry', 23341: 'doze', 23342: 'dozen', 23343: 'dp', 23344: 'dq', 23345: 'dr', 23346: 'drab', 56115: 'swift', 56116: 'swig', 23351: 'draft', 23352: 'drag', 23353: 'drain', 23354: 'drake', 23355: 'drama', 23356: 'drank', 56125: 'swipe', 56126: 'swirl', 23361: 'drape', 23362: 'draw', 23363: 'drawl', 23364: 'drawn', 23365: 'dread', 23366: 'dream', 56135: 'swore', 56136: 'sworn', 66211: '47th', 56141: 'swum', 56142: 'swung', 56143: 'sx', 56144: 'sy', 56145: 'sybil', 56146: 'symbol', 56151: 'syrup', 56152: 'sz', 56153: 't', 56154: 't&a', 56155: "t's", 56156: 'ta', 56161: 'tab', 56162: 'table', 56163: 'tablet', 56164: 'taboo', 56165: 'tabs', 56166: 'tabu', 23411: 'dreamy', 23412: 'dregs', 23413: 'dress', 23414: 'dressy', 23415: 'drew', 23416: 'dried', 23421: 'drier', 23422: 'dries', 23423: 'drift', 23424: 'drill', 23425: 'drink', 23426: 'drip', 23431: 'drips', 23432: 'drive', 23433: 'droid', 23434: 'droll', 23435: 'drone', 23436: 'drool', 23441: 'droop', 23442: 'drop', 23443: 'drops', 23444: 'drove', 23445: 'drown', 23446: 'dru', 56215: 'tactic', 56216: 'tad', 23451: 'drub', 23452: 'drug', 23453: 'drugs', 23454: 'druid', 23455: 'drum', 23456: 'drums', 56225: 'tail', 56226: 'tails', 23461: 'drunk', 23462: 'dry', 23463: 'dryad', 23464: 'ds', 23465: 'dt', 23466: 'du', 56235: 'tale', 56236: 'tales', 56241: 'talk', 56242: 'talks', 56243: 'tall', 56244: 'tally', 56245: 'talon', 56246: 'tame', 56251: 'tamer', 56252: 'tamper', 56253: 'tan', 56254: 'tang', 56255: 'tango', 56256: 'tangy', 56261: 'tank', 56262: 'tanks', 56263: 'tans', 56264: 'tanya', 56265: 'tao', 56266: 'tap', 31223: 'glint', 61262: 'top', 23511: 'dual', 23512: 'duane', 23513: 'dub', 23514: 'dublin', 23515: 'duck', 23516: 'ducks', 64614: 'york', 23521: 'duct', 23522: 'dud', 23523: 'dude', 23524: 'due', 23525: 'duel', 23526: 'dues', 61265: 'topple', 23531: 'duet', 23532: 'duff', 23533: 'dug', 23534: 'duke', 23535: 'dull', 23536: 'dully', 23541: 'duly', 23542: 'dumb', 23543: 'dumbo', 23544: 'dummy', 23545: 'dump', 23546: 'dumps', 56315: 'taps', 56316: 'tar', 23551: 'dumpy', 23552: 'dun', 23553: 'dunce', 23554: 'dune', 23555: 'dung', 23556: 'dunk', 56325: 'tart', 56326: 'tarts', 65161: 'zm', 23561: 'duo', 23562: 'dupe', 23563: 'during', 23564: 'dusk', 23565: 'dusky', 23566: 'dust', 56335: 'tater', 56336: 'tattle', 56341: 'tau', 56342: 'taunt', 56343: 'taut', 56344: 'tavern', 56345: 'tax', 56346: 'taxi', 56351: 'tb', 56352: 'tba', 56353: 'tbsp', 56354: 'tc', 56355: 'td', 56356: 'te', 56361: 'tea', 56362: 'teach', 56363: 'teacup', 56364: 'teak', 56365: 'team', 56366: 'teams', 23611: 'dusty', 23612: 'dutch', 23613: 'duty', 23614: 'dv', 42165: 'mile', 23616: 'dwarf', 52615: 'scat', 23621: 'dwell', 23622: 'dwelt', 23623: 'dwight', 23624: 'dx', 23625: 'dy', 23626: 'dyad', 23631: 'dye', 23632: 'dyed', 23633: 'dying', 23634: 'dylan', 23635: 'dynamo', 23636: 'dz', 23641: 'e', 23642: "e's", 23643: 'ea', 23644: 'each', 23645: 'eager', 23646: 'eagle', 56415: 'teddy', 56416: 'tee', 52616: 'scene', 23651: 'ear', 23652: 'earl', 23653: 'early', 23654: 'earn', 23655: 'earns', 23656: 'ears', 56425: 'tell', 56426: 'tells', 23661: 'earth', 23662: 'ease', 23663: 'easel', 23664: 'east', 23665: 'easy', 23666: 'eat', 31251: 'gm', 56436: 'tempt', 56441: 'ten', 56442: 'tend', 56443: 'tends', 56444: 'tenor', 56445: 'tens', 56446: 'tense', 56451: 'tent', 51526: 'rift', 56453: 'tents', 56454: 'term', 56455: 'terms', 56456: 'terra', 56461: 'terry', 56462: 'terse', 56463: 'test', 56464: 'tests', 56465: 'testy', 56466: 'tex', 65516: '1997', 56511: 'texan', 56512: 'texas', 56513: 'text', 56514: 'tf', 56515: 'tg', 56516: 'tgif', 56521: 'th', 56522: 'thai', 56523: 'than', 56524: 'thank', 56525: 'that', 56526: 'thaw', 56531: 'thaws', 56532: 'the', 56533: 'theft', 56534: 'their', 56535: 'them', 56536: 'theme', 56541: 'then', 56542: 'there', 56543: 'these', 56544: 'theta', 56545: 'they', 56546: 'thick', 53115: 'seams', 56551: 'thief', 56552: 'thigh', 56553: 'thin', 56554: 'thing', 56555: 'think', 56556: 'thins', 56561: 'third', 56562: 'this', 56563: 'tho', 56564: 'thong', 56565: 'thor', 56566: 'thorn', 61313: 'torch', 61314: 'tore', 61315: 'torn', 61316: 'torso', 56611: 'thorny', 56612: 'those', 56613: 'thread', 56614: 'three', 56615: 'threw', 56616: 'throb', 56621: 'throw', 56622: 'throws', 56623: 'thru', 56624: 'thu', 56625: 'thud', 56626: 'thug', 56631: 'thumb', 56632: 'thump', 56633: 'thur', 56634: 'thus', 44131: 'offer', 56636: 'ti', 56641: 'tiara', 56642: 'tibet', 56643: 'tic', 56644: 'tick', 56645: 'ticket', 56646: 'ticks', 56651: 'tics', 56652: 'tidal', 56653: 'tidbit', 56654: 'tide', 53133: 'sects', 56656: 'tie', 56661: 'tied', 56662: 'tier', 56663: 'ties', 56664: 'tiger', 56665: 'tight', 56666: 'tile', 52625: 'scoop', 53143: 'seedy', 52626: 'scoot', 42225: 'mind', 53151: 'seems', 63663: 'wish', 31311: 'goal', 62463: 'vera', 42235: 'mini', 24111: 'eaten', 24112: 'eater', 24113: 'eats', 24114: 'eave', 24115: 'eaves', 24116: 'eb', 24121: 'ebb', 24122: 'ebony', 24123: 'ec', 24124: 'echo', 24125: 'ed', 24126: 'eddie', 61365: 'trade', 24131: 'eddy', 24132: 'eden', 24133: 'edgar', 24134: 'edge', 24135: 'edges', 24136: 'edgy', 24141: 'edible', 24142: 'edict', 24143: 'edify', 24144: 'edit', 24145: 'edith', 24146: 'editor', 24151: 'edits', 24152: 'edna', 24153: 'edsel', 24154: 'edwin', 24155: 'ee', 24156: 'eee', 24161: 'eeee', 24162: 'eeg', 24163: 'eel', 24164: 'eerie', 24165: 'ef', 24166: 'efface', 44133: 'og', 61363: 'tract', 24211: 'efg', 24212: 'eflat', 24213: 'eft', 24214: 'eg', 24215: 'egg', 24216: 'eggs', 31343: 'good', 61264: 'topic', 24221: 'ego', 24222: 'egress', 24223: 'egret', 24224: 'egypt', 24225: 'eh', 24226: 'ei', 24231: 'eight', 24232: 'ej', 24233: 'eject', 24234: 'ek', 24235: 'ekg', 24236: 'el', 64114: 'witty', 24241: 'elate', 24242: 'elbow', 24243: 'elder', 24244: 'elect', 24245: 'elegy', 24246: 'elena', 24251: 'eleven', 24252: 'elf', 24253: 'elfin', 24254: 'eli', 24255: 'elide', 24256: 'eliot', 24261: 'elite', 24262: 'eliza', 24263: 'elk', 24264: 'elks', 24265: 'ella', 24266: 'ellen', 64212: 'worm', 61366: 'trail', 51546: 'rings', 64122: 'wm', 64123: 'wn', 64124: 'wnw', 65231: 'zv', 24311: 'elm', 24312: 'elmer', 24313: 'elms', 24314: 'elope', 24315: 'elroy', 24316: 'else', 24321: 'elsie', 24322: 'elton', 24323: 'elude', 24324: 'elves', 24325: 'elvis', 24326: 'ely', 24331: 'em', 24332: 'email', 24333: 'embalm', 24334: 'embed', 24335: 'ember', 24336: 'emcee', 62465: 'verbs', 64131: 'woes', 24341: 'emery', 24342: 'emil', 24343: 'emile', 24344: 'emily', 24345: 'emit', 24346: 'emits', 24351: 'emma', 24352: 'emmy', 24353: 'emote', 24354: 'employ', 24355: 'empty', 24356: 'emu', 64134: 'wolf', 24361: 'en', 24362: 'enact', 24363: 'enamel', 24364: 'end', 24365: 'ended', 24366: 'endow', 24411: 'ends', 24412: 'enema', 24413: 'enemy', 24414: 'enigma', 24415: 'enjoy', 24416: 'enmity', 24421: 'ennui', 24422: 'enoch', 24423: 'ensue', 24424: 'enter', 24425: 'entrap', 24426: 'entry', 61415: 'traps', 24431: 'envoy', 24432: 'envy', 24433: 'eo', 24434: 'eon', 24435: 'eons', 24436: 'ep', 24441: 'epic', 24442: 'epics', 24443: 'epoch', 24444: 'epoxy', 24445: 'epsom', 24446: 'eq', 24451: 'equal', 24452: 'equip', 24453: 'er', 24454: 'era', 24455: 'erase', 24456: 'erect', 24461: 'ergo', 24462: 'eric', 24463: 'erica', 24464: 'erie', 24465: 'erik', 24466: 'erin', 13363: 'bass', 24511: 'ernest', 24512: 'ernie', 24513: 'erode', 24514: 'eros', 24515: 'err', 24516: 'errand', 24521: 'errol', 24522: 'error', 24523: 'erupt', 24524: 'es', 24525: 'esp', 24526: 'espy', 24531: 'esq', 24532: 'essay', 24533: 'ester', 24534: 'et', 24535: 'eta', 24536: 'etc', 24541: 'etch', 24542: 'ethel', 24543: 'ether', 24544: 'ethic', 24545: 'ethos', 24546: 'ethyl', 24551: 'etude', 24552: 'eu', 24553: 'eureka', 24554: 'ev', 24555: 'eva', 24556: 'evade', 24561: 'evans', 24562: 'eve', 24563: 'even', 24564: 'event', 24565: 'ever', 24566: 'every', 24611: 'evict', 24612: 'evil', 24613: 'evita', 24614: 'evoke', 24615: 'evolve', 24616: 'ew', 24621: 'ewe', 24622: 'ex', 24623: 'exact', 24624: 'exalt', 24625: 'exam', 24626: 'exams', 24631: 'excel', 24632: 'excess', 24633: 'exec', 24634: 'exert', 24635: 'exile', 24636: 'exist', 24641: 'exit', 24642: 'exits', 24643: 'exodus', 24644: 'expel', 24645: 'expo', 24646: 'extant', 24651: 'extent', 24652: 'extol', 24653: 'extra', 24654: 'exult', 24655: 'exxon', 24656: 'ey', 24661: 'eye', 24662: 'eyed', 24663: 'eyes', 24664: 'ez', 24665: 'ezra', 24666: 'f', 53263: 'sh', 61463: 'troop', 61464: 'trot', 41111: 'love', 41112: 'loved', 41113: 'lover', 41114: 'low', 41115: 'lower', 41116: 'lowry', 61466: 'trout', 41121: 'lox', 41122: 'loyal', 41123: 'lp', 41124: 'lq', 41125: 'lr', 41126: 'ls', 41131: 'lsd', 41132: 'lt', 41133: 'ltd', 41134: 'lu', 41135: 'luau', 41136: 'lucas', 41141: 'luce', 41142: 'lucia', 41143: 'lucid', 41144: 'luck', 41145: 'lucky', 41146: 'lucy', 41151: 'ludwig', 41152: 'lug', 41153: 'luger', 41154: 'lugs', 41155: 'luis', 41156: 'luke', 41161: 'lull', 41162: 'lulu', 41163: 'lump', 41164: 'lumps', 41165: 'lumpy', 41166: 'luna', 64111: 'witch', 64323: 'wyman', 46231: 'prime', 64211: 'world', 64112: 'with', 41211: 'lunar', 41212: 'lunch', 41213: 'lung', 41214: 'lunge', 41215: 'lungs', 41216: 'lurch', 41221: 'lure', 41222: 'lurid', 41223: 'lurk', 41224: 'lurks', 41225: 'lush', 41226: 'lust', 41231: 'lusty', 41232: 'lute', 41233: 'luxury', 41234: 'lv', 41235: 'lw', 41236: 'lx', 64113: 'wits', 41241: 'ly', 41242: 'lye', 41243: 'lying', 41244: 'lyle', 41245: 'lymph', 41246: 'lynch', 41251: 'lynn', 41252: 'lynx', 41253: 'lyre', 41254: 'lyric', 41255: 'lz', 41256: 'm', 41261: 'm&m', 41262: "m's", 41263: 'm-16', 41264: 'ma', 41265: "ma'am", 41266: 'mabel', 64222: 'worst', 64223: 'worth', 64224: 'would', 12343: 'apply', 12344: 'apr', 12345: 'april', 45114: 'peach', 41311: 'mac', 41312: 'macaw', 41313: 'mace', 41314: 'macho', 41315: 'macro', 41316: 'mad', 41321: 'madam', 41322: 'made', 41323: 'madly', 41324: 'madman', 41325: 'mafia', 41326: 'magic', 64232: 'wow', 41331: 'magma', 41332: 'magnet', 41333: 'magoo', 41334: 'magpie', 41335: 'maid', 41336: 'maids', 41341: 'mail', 41342: 'maim', 41343: 'maims', 41344: 'main', 41345: 'maine', 41346: 'maize', 12353: 'aqua', 41352: 'major', 41353: 'make', 41354: 'malady', 41355: 'male', 41356: 'malice', 12354: 'ar', 41361: 'mall', 41362: 'malls', 41363: 'malt', 41364: 'mama', 41365: 'mambo', 41366: 'mammal', 12356: 'arabs', 61513: 'truck', 64664: 'zag', 61514: 'trudge', 64213: 'worms', 41411: 'man', 41412: 'mane', 41413: 'mango', 41414: 'mania', 41415: 'manic', 41416: 'manly', 12364: 'arcade', 41421: 'manna', 41422: 'manor', 12365: 'arch', 41424: 'many', 41425: 'mao', 41426: 'map', 12366: 'archer', 41431: 'maple', 41432: 'maps', 41433: 'mar', 41434: 'marble', 41435: 'march', 41436: 'marco', 41441: 'mare', 41442: 'mares', 41443: 'marge', 41444: 'margo', 41445: 'maria', 41446: 'marie', 41451: 'marine', 41452: 'mario', 41453: 'mark', 41454: 'marks', 41455: 'marlin', 41456: 'marrow', 41461: 'marry', 41462: 'mars', 41463: 'marsh', 41464: 'mart', 41465: 'marty', 41466: 'martyr', 61525: 'truth', 65212: 'zoom', 61526: 'try', 64121: 'wl', 25111: 'f#', 25112: "f's", 25113: 'fa', 25114: 'fable', 25115: 'fabric', 25116: 'face', 25121: 'faces', 25122: 'facet', 25123: 'facile', 25124: 'fact', 25125: 'facts', 25126: 'fad', 41511: 'marx', 41512: 'mary', 41513: 'mash', 41514: 'mask', 25131: 'fade', 25132: 'fads', 25133: 'fail', 25134: 'faint', 25135: 'fair', 25136: 'fairy', 41521: 'mass', 41522: 'mast', 41523: 'masts', 41524: 'mat', 25141: 'faith', 25142: 'fake', 25143: 'faker', 25144: 'fall', 25145: 'false', 25146: 'fame', 41531: 'mated', 41532: 'mates', 41533: 'math', 41534: 'mats', 25151: 'fan', 25152: 'fancy', 25153: 'fang', 25154: 'fangs', 25155: 'fanny', 25156: 'fans', 41541: 'maud', 41542: 'maude', 41543: 'maul', 41544: 'mauls', 25161: 'far', 25162: 'farce', 25163: 'fare', 25164: 'farm', 25165: 'farms', 25166: 'fast', 41551: 'maxim', 41552: 'may', 41553: 'maybe', 41554: 'mayhem', 41555: 'mayo', 41556: 'mayor', 41561: 'mazda', 41562: 'maze', 41563: 'mazes', 41564: 'mb', 41565: 'mba', 41566: 'mc', 61545: 'tubes', 64366: 'xr', 25211: 'fat', 25212: 'fatal', 25213: 'fate', 25214: 'father', 25215: 'fats', 25216: 'fatty', 25221: 'fault', 25222: 'fauna', 25223: 'faust', 25224: 'faux', 25225: 'fawn', 25226: 'fax', 41611: 'mccoy', 41612: 'mcgee', 41613: 'md', 41614: 'me', 25231: 'faze', 25232: 'fb', 25233: 'fbi', 25234: 'fc', 25235: 'fd', 25236: 'fe', 41621: 'meals', 41622: 'mean', 41623: 'means', 41624: 'meant', 25241: 'fear', 25242: 'fears', 25243: 'feast', 25244: 'feat', 25245: 'feb', 25246: 'fed', 41631: 'mecca', 41632: 'medal', 41633: 'media', 41634: 'medic', 25251: 'fee', 25252: 'feeble', 25253: 'feed', 25254: 'feeds', 25255: 'feel', 25256: 'feels', 41641: 'meet', 41642: 'meets', 41643: 'meg', 41644: 'meld', 25261: 'fees', 25262: 'feet', 25263: 'feign', 25264: 'feint', 25265: 'felice', 25266: 'felix', 41651: 'melody', 41652: 'melon', 41653: 'melt', 41654: 'melts', 41655: 'memo', 41656: 'memoir', 15135: 'bravo', 41661: 'men', 41662: 'mend', 41663: 'mends', 41664: 'menu', 41665: 'meow', 41666: 'mercy', 53415: 'ships', 61562: 'tulip', 25311: 'fell', 25312: 'felon', 25313: 'felt', 25314: 'femur', 25315: 'fence', 25316: 'fend', 31526: 'grim', 25321: 'fern', 25322: 'ferry', 25323: 'fetal', 25324: 'fetch', 25325: 'fete', 25326: 'fetid', 61565: 'tune', 25331: 'fetus', 25332: 'feud', 25333: 'fever', 25334: 'few', 25335: 'fez', 25336: 'ff', 25341: 'fff', 25342: 'ffff', 25343: 'fg', 25344: 'fgh', 25345: 'fh', 25346: 'fi', 25351: 'fiat', 25352: 'fib', 25353: 'fiber', 25354: 'fickle', 25355: 'fido', 25356: 'field', 25361: 'fiend', 25362: 'fiery', 25363: 'fife', 25364: 'fifth', 25365: 'fifty', 25366: 'fig', 31535: 'grins', 31536: 'grip', 56113: 'swell', 56114: 'swept', 65222: 'zr', 25411: 'fight', 25412: 'figs', 25413: 'fiji', 25414: 'filch', 25415: 'file', 25416: 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25545: 'flavor', 25546: 'flaw', 25551: 'flax', 25552: 'flay', 25553: 'flea', 25554: 'fled', 25555: 'flee', 25556: 'fleet', 64334: 'xc', 25561: 'flesh', 25562: 'flew', 25563: 'flex', 25564: 'flick', 25565: 'flier', 25566: 'flies', 12453: 'artery', 12454: 'arthur', 12455: 'artie', 12456: 'arts', 64341: 'xerox', 64432: 'xyz', 25611: 'flinch', 25612: 'fling', 25613: 'flint', 25614: 'flip', 25615: 'flirt', 25616: 'flit', 25621: 'flo', 25622: 'float', 25623: 'flock', 25624: 'flog', 25625: 'flood', 25626: 'floor', 12463: 'as', 25631: 'flop', 25632: 'floppy', 25633: 'flora', 25634: 'flour', 25635: 'flow', 25636: 'flown', 12465: 'ascend', 25641: 'floyd', 25642: 'flu', 25643: 'flub', 25644: 'flue', 25645: 'fluff', 25646: 'fluid', 25651: 'fluke', 25652: 'flung', 25653: 'flush', 25654: 'flute', 25655: 'flux', 25656: 'fly', 25661: 'flyer', 25662: 'fm', 25663: 'fn', 25664: 'fo', 25665: 'foal', 25666: 'foam', 64353: 'xj', 64354: 'xk', 63414: 'wedge', 61625: 'tutor', 61413: 'tramp', 65232: 'zw', 61626: 'tutu', 54321: 'smog', 42515: 'morse', 66324: '60%', 42516: 'morsel', 65233: 'zx', 42111: 'mere', 42112: 'merge', 42113: 'merit', 42114: 'merry', 42115: 'mesa', 42116: 'mesh', 42121: 'mess', 42122: 'messy', 42123: 'met', 42124: 'metal', 42125: 'meteor', 42126: 'meter', 64365: 'xq', 42131: 'metro', 42132: 'meyer', 42133: 'mf', 42134: 'mg', 42135: 'mgm', 42136: 'mgmt', 61636: 'twain', 42141: 'mh', 42142: 'mi', 42143: 'mia', 42144: 'miami', 42145: 'mice', 42146: 'mickey', 42151: 'micro', 42152: 'mid', 42153: 'midas', 42154: 'midst', 42155: 'mig', 42156: 'might', 42525: 'mossy', 42161: 'migs', 42162: 'mike', 42163: 'mild', 42164: 'mildew', 42526: 'most', 42166: 'miles', 54324: 'smooth', 61645: 'twigs', 61646: 'twin', 64145: 'wonder', 42211: 'milk', 42212: 'milky', 42213: 'mill', 42214: 'mills', 42215: 'milo', 42216: 'mime', 42535: 'moths', 42221: 'mimes', 42222: 'mimi', 42223: 'mimic', 42224: 'mince', 42536: 'motif', 42226: 'minds', 42231: 'mine', 42232: 'mined', 42233: 'miner', 42234: 'mines', 15231: 'brood', 42236: 'mink', 42241: 'minnow', 42242: 'minor', 42243: 'mint', 42244: 'mints', 42245: 'minty', 42246: 'minus', 42251: 'mirage', 42252: 'mire', 42253: 'mired', 42254: 'mirth', 42255: 'mirv', 42256: 'misc', 42261: 'miser', 42262: 'misery', 42263: 'miss', 42264: 'mist', 42265: 'mists', 42266: 'misty', 42545: 'mourn', 42546: 'mouse', 31625: 'guess', 61663: 'tx', 31626: 'guest', 61664: 'ty', 42311: 'mit', 42312: 'mite', 42313: 'mites', 42314: 'mitt', 42315: 'mitts', 42316: 'mix', 61666: 'tying', 66331: '60th', 42321: 'mixed', 42322: 'mixer', 42323: 'mixes', 42324: 'mixup', 42325: 'mj', 42326: 'mk', 42331: 'ml', 42332: 'mm', 42333: 'mmm', 42334: 'mmmm', 42335: 'mn', 42336: 'mno', 42341: 'mo', 42342: 'moan', 42343: 'moans', 42344: 'moat', 42345: 'mob', 42346: 'mobil', 42351: 'mobs', 42352: 'moby', 42353: 'mock', 42354: 'mocks', 42355: 'mod', 42356: 'mode', 42361: 'model', 42362: 'modem', 42363: 'moe', 42364: 'mogul', 42365: 'moist', 42366: 'mojo', 56213: 'taco', 62514: 'verna', 56214: 'tact', 15255: 'bryan', 62515: 'verne', 64411: 'xray', 64412: 'xrays', 42411: 'molar', 42412: 'mold', 42413: 'molds', 42414: 'mole', 42415: 'moles', 42416: 'molly', 15262: 'btu', 42422: 'molten', 42423: 'mom', 42424: 'momma', 42425: 'mommy', 42426: 'mon', 56223: 'tag', 42431: 'mona', 42432: 'money', 42433: 'monk', 42434: 'monkey', 42435: 'mono', 42436: 'month', 42441: 'monty', 42442: 'moo', 42443: 'mooch', 42444: 'mood', 42445: 'moods', 42446: 'moody', 42451: 'moon', 42452: 'moons', 42453: 'moor', 42454: 'moore', 42455: 'moose', 42456: 'mop', 42461: 'mope', 42462: 'mopes', 42463: 'mops', 42464: 'moral', 42465: 'morale', 42466: 'morbid', 64422: 'xvii', 56231: 'taint', 56232: 'take', 56233: 'taken', 45311: 'phrase', 56234: 'takes', 26111: 'foamy', 26112: 'fob', 26113: 'focal', 26114: 'focus', 26115: 'fodder', 26116: 'foe', 12545: 'astor', 26121: 'foes', 26122: 'fog', 26123: 'foggy', 26124: 'fogy', 26125: 'foil', 26126: 'foist', 42511: 'more', 42512: 'morn', 42513: 'moron', 42514: 'morph', 26131: 'fold', 26132: 'folio', 26133: 'folk', 26134: 'folly', 26135: 'fond', 26136: 'font', 42521: 'mort', 42522: 'mosaic', 42523: 'moses', 42524: 'moss', 26141: 'food', 26142: 'fool', 26143: 'foot', 26144: 'fop', 26145: 'for', 26146: 'foray', 42531: 'mote', 42532: 'motel', 42533: 'moth', 42534: 'mother', 26151: 'force', 26152: 'ford', 26153: 'fore', 26154: 'forge', 26155: 'forgot', 26156: 'fork', 42541: 'motor', 42542: 'motto', 42543: 'mound', 42544: 'mount', 26161: 'form', 26162: 'forms', 26163: 'fort', 26164: 'forte', 26165: 'forth', 26166: 'forty', 12553: 'atari', 42552: 'mouth', 42553: 'move', 42554: 'moved', 42555: 'moves', 42556: 'movie', 12554: 'ate', 42561: 'mow', 42562: 'mowed', 42563: 'mower', 42564: 'mows', 42565: 'moxie', 42566: 'mp', 12556: 'atlas', 62316: 'usurp', 26211: 'forum', 26212: 'fossil', 26213: 'foul', 26214: 'found', 26215: 'fount', 26216: 'four', 26221: 'fowl', 26222: 'fox', 26223: 'foxes', 26224: 'foxy', 26225: 'foyer', 26226: 'fp', 42611: 'mpg', 42612: 'mph', 42613: 'mq', 42614: 'mr', 42615: 'mrs', 26232: 'fr', 26233: 'frail', 26234: 'frame', 26235: 'france', 26236: 'frank', 42621: 'msdos', 42622: 'msg', 42623: 'mt', 42624: 'mu', 26241: 'franz', 26242: 'frau', 26243: 'fraud', 26244: 'fray', 26245: 'freak', 26246: 'fred', 42631: 'mucus', 42632: 'mud', 42633: 'muddy', 42634: 'muff', 26251: 'free', 26252: 'freed', 26253: 'freer', 26254: 'frenzy', 26255: 'freon', 26256: 'fresh', 42641: 'muggy', 42642: 'mugs', 42643: 'mulch', 42644: 'mule', 26261: 'fret', 26262: 'freud', 26263: 'fri', 26264: 'friar', 26265: 'fried', 26266: 'fries', 42651: 'mum', 42652: 'mumble', 42653: 'mummy', 42654: 'mumps', 42655: 'munch', 42656: 'mural', 42661: 'muriel', 42662: 'murk', 42663: 'murky', 42664: 'muse', 42665: 'muses', 42666: 'mush', 63615: 'wills', 53535: 'sign', 64333: 'xb', 26311: 'frill', 26312: 'frilly', 26313: 'frisky', 26314: 'fritz', 26231: 'fq', 26316: 'frog', 62525: 'vests', 64461: 'yard', 26321: 'frogs', 26322: 'from', 26323: 'frond', 26324: 'front', 26325: 'frost', 26326: 'froth', 26331: 'frown', 26332: 'froze', 26333: 'fruit', 26334: 'fry', 26335: 'fs', 26336: 'ft', 64464: 'yawn', 26341: 'fu', 26342: 'fudge', 26343: 'fuel', 26344: 'fugue', 26345: 'fuji', 26346: 'full', 62526: 'vet', 64466: 'yb', 26351: 'fully', 26352: 'fumble', 26353: 'fume', 26354: 'fumes', 26355: 'fun', 26356: 'fund', 63451: 'west', 26361: 'funds', 26362: 'fungi', 26363: 'funk', 26364: 'funky', 26365: 'funny', 26366: 'fur', 42625: 'much', 42626: 'muck', 53553: 'silver', 26411: 'furl', 26412: 'furry', 26413: 'furs', 26414: 'fury', 26415: 'fuse', 26416: 'fuss', 26421: 'fussy', 26422: 'fuzz', 26423: 'fuzzy', 26424: 'fv', 26425: 'fw', 26426: 'fx', 26431: 'fy', 26432: 'fyi', 26433: 'fz', 26434: 'g', 26435: "g's", 26436: 'ga', 26441: 'gab', 26442: 'gable', 26443: 'gadget', 26444: 'gaea', 26445: 'gaffe', 26446: 'gag', 26451: 'gags', 26452: 'gail', 26453: 'gaily', 26454: 'gain', 26455: 'gait', 26456: 'gal', 26461: 'gala', 26462: 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43333: 'net', 43334: 'nets', 43335: 'never', 43336: 'new', 43341: 'newly', 43342: 'news', 43343: 'newt', 43344: 'next', 43345: 'nf', 43346: 'ng', 43351: 'nguyen', 43352: 'nh', 43353: 'ni', 43354: 'nice', 43355: 'nicer', 43356: 'nick', 13446: 'bd', 43361: 'nickel', 43362: 'nico', 43363: 'niece', 43364: 'nifty', 43365: 'night', 43366: 'nil', 23615: 'dw', 43411: 'nile', 43412: 'nina', 43413: 'nine', 43414: 'ninja', 43415: 'ninth', 43416: 'niobe', 43421: 'nip', 43422: 'nips', 43423: 'nitwit', 43424: 'nix', 43425: 'nixon', 43426: 'nj', 43431: 'nk', 43432: 'nl', 43433: 'nm', 43434: 'nn', 43435: 'nne', 43436: 'nnn', 43441: 'nnnn', 43442: 'nnw', 43443: 'no', 43444: 'noah', 43445: 'noble', 43446: 'nod', 65211: 'zoo', 43451: 'node', 43452: 'nods', 43453: 'noel', 43454: 'noise', 43455: 'noisy', 43456: 'nomad', 43461: 'none', 43462: 'nono', 43463: 'nook', 43464: 'noon', 43465: 'noose', 43466: 'nop', 43511: 'nope', 43512: 'nor', 43513: 'nora', 43514: 'norm', 43515: 'norma', 43516: 'north', 43521: 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13255: 'banal', 13256: 'banana', 62411: 'vance', 62412: 'vane', 13261: 'band', 13262: 'bandit', 13263: 'bands', 13264: 'bandy', 13265: 'bane', 13266: 'bang', 62421: 'vases', 62422: 'vast', 62423: 'vat', 62424: 'vats', 56635: 'thyme', 62426: 'vb', 62431: 'vc', 62432: 'vcr', 62433: 'vd', 62434: 've', 62435: 'veal', 62436: 'veep', 62441: 'veer', 62442: 'veers', 62443: 'veggie', 62444: 'veil', 62445: 'vein', 62446: 'veins', 62451: 'venal', 62452: 'vend', 61546: 'tubs', 62454: 'vends', 62455: 'venom', 62456: 'vent', 62461: 'vents', 62462: 'venus', 13311: 'bangs', 13312: 'banish', 13313: 'banjo', 13314: 'bank', 13315: 'banks', 13316: 'bar', 13321: 'barb', 13322: 'barbs', 13323: 'bard', 13324: 'bare', 13325: 'barf', 13326: 'barge', 13331: 'bark', 13332: 'barks', 13333: 'barley', 13334: 'barn', 13335: 'barnes', 13336: 'baron', 13341: 'barony', 13342: 'barry', 13343: 'bars', 46112: 'porn', 46113: 'porous', 46114: 'port', 46115: 'pose', 46116: 'posed', 13351: 'base', 13352: 'bash', 46121: 'poses', 46122: 'posh', 46123: 'posse', 13356: 'basis', 46125: 'posts', 46126: 'posy', 62511: 'verge', 62512: 'verify', 13361: 'bask', 13362: 'basket', 46131: 'pot', 13364: 'baste', 46133: 'pots', 46134: 'potts', 46135: 'pouch', 46136: 'pound', 62521: 'verve', 62522: 'very', 54111: 'skis', 62524: 'vest', 46141: 'pour', 46142: 'pours', 46143: 'pout', 46144: 'pouts', 46145: 'pow', 46146: 'powder', 62531: 'veto', 62532: 'vets', 62533: 'vex', 62534: 'vexed', 46151: 'power', 46152: 'pox', 46153: 'pp', 46154: 'ppm', 46155: 'ppp', 46156: 'pppp', 54114: 'skulk', 62542: 'vh', 62543: 'vi', 62544: 'via', 46161: 'pq', 46162: 'pqr', 46163: 'pr', 46164: 'prank', 46165: 'prawn', 46166: 'pray', 62551: 'vic', 62552: 'vice', 62553: 'vices', 62554: 'vicky', 62555: 'video', 62556: 'vie', 62561: 'viet', 62562: 'view', 13411: 'bates', 13412: 'bath', 13413: 'bathe', 13414: 'baths', 13415: 'baton', 13416: 'bats', 13421: 'bauble', 13422: 'baud', 13423: 'bawd', 13424: 'bawdy', 13425: 'bawl', 13426: 'bay', 13431: 'bayer', 13432: 'bayou', 13433: 'bays', 13434: 'bazaar', 13435: 'bb', 13436: 'bbb', 54122: 'sl', 13441: 'bbbb', 13442: 'bbc', 46211: 'prays', 46212: 'preen', 46213: 'prefix', 46214: 'prep', 46215: 'press', 46216: 'prexy', 54124: 'slabs', 13451: 'be', 13452: 'beach', 46221: 'prey', 46222: 'price', 13455: 'beads', 13456: 'beady', 46225: 'prig', 46226: 'prim', 62611: 'vile', 62612: 'vinci', 13461: 'beak', 13462: 'beam', 13463: 'beams', 46232: 'prince', 46233: 'print', 46234: 'prior', 46235: 'prism', 46236: 'prissy', 62621: 'violet', 62622: 'vip', 62623: 'virgil', 62624: 'virgo', 46241: 'privy', 46242: 'prize', 46243: 'pro', 46244: 'probe', 46245: 'prod', 46246: 'prods', 62631: 'vise', 62632: 'visit', 61552: 'tue', 62634: 'vista', 46251: 'prof', 46252: 'prom', 46253: 'promo', 46254: 'prone', 46255: 'prong', 46256: 'proof', 62641: 'viva', 62642: 'vivian', 54131: 'slam', 62644: 'vixen', 46261: 'prop', 46262: 'propel', 46263: 'props', 46264: 'prose', 46265: 'proud', 46266: 'prove', 62651: 'vl', 62652: 'vlad', 62653: 'vm', 62654: 'vn', 54133: 'slang', 62656: 'vocal', 54134: 'slant', 62662: 'vogue', 13511: 'beard', 13512: 'bears', 13513: 'beast', 13514: 'beat', 13515: 'beats', 13516: 'beau', 64525: 'yellow', 13521: 'beauty', 13522: 'beaver', 13523: 'bebop', 13524: 'beck', 13525: 'becky', 13526: 'bed', 13531: 'beds', 13532: 'bee', 13533: 'beech', 13534: 'beef', 13535: 'beefy', 13536: 'been', 62645: 'vj', 13541: 'beep', 13542: 'beeps', 13543: 'beer', 13544: 'beers', 13545: 'bees', 13546: 'beet', 46315: 'prune', 46316: 'pry', 13551: 'beets', 13552: 'befall', 13553: 'befit', 13554: 'befog', 13555: 'beg', 13556: 'began', 46325: 'pt', 46326: 'pu', 13561: 'beget', 13562: 'beggar', 13563: 'begin', 46332: 'pubic', 13565: 'begun', 13566: 'behind', 46335: 'pucker', 46336: 'puddle', 46341: 'pudgy', 46342: 'puff', 46343: 'puffs', 46344: 'puffy', 46345: 'pug', 46346: 'puke', 46351: 'pull', 46352: 'pulls', 46353: 'pulp', 46354: 'pulse', 46355: 'puma', 46356: 'pump', 46361: 'pumps', 46362: 'pun', 46363: 'punch', 46364: 'punish', 46365: 'punk', 46366: 'punks', 13611: 'beige', 13612: 'being', 13613: 'beirut', 13614: 'belch', 13615: 'belfry', 13616: 'belief', 13621: 'bell', 13622: 'bella', 13623: 'belle', 13624: 'bellow', 13625: 'bells', 13626: 'belly', 13631: 'below', 13632: 'belt', 13633: 'belts', 13634: 'bemoan', 13635: 'ben', 13636: 'bench', 31515: 'greta', 13641: 'bend', 13642: 'bender', 46411: 'punky', 13644: 'benign', 46413: 'punt', 46414: 'punts', 46415: 'puny', 46416: 'pup', 13651: 'benz', 13652: 'beret', 13653: 'berg', 13654: 'berlin', 46423: 'pure', 46424: 'purge', 46425: 'purr', 46426: 'purse', 13661: 'bert', 13662: 'berth', 13663: 'beryl', 46432: 'push', 46433: 'pushy', 46434: 'pussy', 46435: 'put', 46436: 'puts', 46441: 'putt', 46442: 'putty', 46443: 'puzzle', 46444: 'pv', 46445: 'pvc', 46446: 'pw', 46451: 'px', 46452: 'py', 46453: 'pygmy', 46454: 'pyre', 46455: 'pyrex', 46456: 'pz', 64133: 'woke', 46461: 'q', 46462: 'q&a', 46463: "q's", 46464: 'qa', 46465: 'qb', 46466: 'qc', 56422: 'teens', 12566: 'atone', 62363: 'value', 62364: 'valve', 46511: 'qd', 46512: 'qe', 46513: 'qed', 46514: 'qf', 46515: 'qg', 46516: 'qh', 62366: 'van', 46521: 'qi', 46522: 'qj', 46523: 'qk', 46524: 'ql', 46525: 'qm', 46526: 'qn', 46531: 'qo', 46532: 'qp', 46533: 'qq', 46534: 'qqq', 46535: 'qqqq', 46536: 'qr', 46541: 'qrs', 46542: 'qs', 46543: 'qt', 46544: 'qu', 46545: 'quack', 46546: 'quad', 46551: 'quail', 46552: 'quake', 46553: 'quarry', 46554: 'quart', 46555: 'queasy', 46556: 'queen', 62613: 'vine', 46561: 'query', 46562: 'quest', 46563: 'queue', 46564: 'quick', 46565: 'quiet', 46566: 'quill', 61563: 'tumble', 62365: 'vamp', 65111: 'zb', 66214: '49', 61564: 'tuna', 46611: 'quilt', 46612: 'quinn', 46613: 'quip', 46614: 'quips', 46615: 'quirk', 46616: 'quit', 46621: 'quite', 46622: 'quits', 46623: 'quiver', 46624: 'quiz', 46625: 'quota', 46626: 'quote', 46631: 'qv', 46632: 'qw', 46633: 'qx', 46634: 'qy', 46635: 'qz', 46636: 'r', 46641: 'r&b', 46642: 'r&d', 46643: 'r&r', 46644: "r's", 46645: 'ra', 46646: 'rabbi', 46651: 'rabbit', 46652: 'rabid', 46653: 'race', 46654: 'raced', 46655: 'races', 46656: 'rack', 46661: 'racy', 46662: 'radar', 46663: 'radio', 46664: 'radish', 46665: 'raft', 46666: 'rafts', 61566: 'tuned', 65123: 'zen', 65124: 'zero', 56111: 'sweep', 65126: 'zesty', 12466: 'ascii', 56112: 'sweet', 65131: 'zeta', 63111: 'volvo', 63112: 'vomit', 63113: 'vote', 63114: 'vouch', 63115: 'vow', 63116: 'vowel', 65133: 'zg', 63121: 'vows', 63122: 'vp', 54211: 'slime', 63124: 'vr', 63125: 'vs', 63126: 'vt', 54212: 'slimy', 63131: 'vtol', 63132: 'vu', 63133: 'vulcan', 63134: 'vv', 54213: 'sling', 63136: 'vvvv', 54214: 'slip', 63142: 'vwx', 63143: 'vx', 63144: 'vy', 63145: 'vz', 63146: 'w', 63151: "w's", 63152: 'w/o', 63153: 'wa', 63154: 'wacko', 63155: 'wacky', 63156: 'wad', 63161: 'wade', 63162: 'wades', 63163: 'wafer', 63164: 'waffle', 63165: 'wag', 63166: 'wage', 65224: 'zt', 54221: 'sliver', 54222: 'slob', 54223: 'slog', 54224: 'sloop', 63211: 'wager', 63212: 'wages', 63213: 'wagon', 63214: 'wags', 63215: 'wahoo', 63216: 'waif', 63221: 'wail', 63222: 'wails', 63223: 'waist', 63224: 'wait', 63225: 'wake', 63226: 'waken', 62663: 'voice', 63231: 'waldo', 63232: 'walk', 63233: 'wall', 63234: 'walls', 35115: 'kane', 63236: 'walrus', 63241: 'walsh', 62615: 'vinyl', 54231: 'sloppy', 63244: 'waltz', 63245: 'wand', 63246: 'wang', 54232: 'slops', 63251: 'want', 63252: 'wants', 63253: 'war', 63254: 'ward', 54233: 'slosh', 63256: 'warmth', 54234: 'slot', 63262: 'warns', 14111: 'bet', 14112: 'beta', 14113: 'beth', 14114: 'betray', 14115: 'bets', 14116: 'betsy', 14121: 'bette', 14122: 'betty', 14123: 'bevy', 14124: 'beware', 14125: 'beyond', 14126: 'bf', 32113: 'gusts', 14131: 'bflat', 14132: 'bg', 14133: 'bh', 14134: 'bi', 14135: 'bias', 14136: 'bib', 62665: 'volt', 14141: 'bible', 14142: 'biceps', 14143: 'bid', 14144: 'bide', 14145: 'bids', 14146: 'bier', 14151: 'big', 14152: 'bigamy', 14153: 'bigot', 14154: 'bike', 14155: 'biker', 14156: 'bikini', 63311: 'warts', 63312: 'wary', 14161: 'bile', 14162: 'bilge', 14163: 'bilk', 14164: 'bill', 14165: 'bills', 14166: 'billy', 63321: 'waste', 63322: 'watch', 54323: 'smoky', 63324: 'watt', 63325: 'watts', 63326: 'wave', 51515: 'rico', 63332: 'waver', 63333: 'waves', 63334: 'wavy', 63335: 'wax', 63336: 'waxy', 51516: 'rid', 63341: 'way', 63342: 'wayne', 63343: 'ways', 63344: 'wb', 63345: 'wc', 63346: 'wd', 63351: 'we', 63352: "we'd", 63353: "we'll", 63354: "we're", 63355: "we've", 63356: 'weak', 63361: 'wealth', 63362: 'wear', 14211: 'bimbo', 14212: 'bin', 14213: 'binary', 14214: 'bind', 14215: 'binge', 14216: 'bingo', 14221: 'biped', 14222: 'birch', 14223: 'bird', 14224: 'birdie', 14225: 'birds', 14226: 'birth', 14231: 'bison', 14232: 'bisque', 14233: 'bit', 14234: 'bite', 14235: 'bites', 14236: 'bits', 51525: 'rifle', 62616: 'viola', 14241: 'bitten', 14242: 'biz', 14243: 'bj', 14244: 'bk', 14245: 'bl', 14246: 'blab', 14251: 'black', 14252: 'blade', 14253: 'blah', 14254: 'blair', 14255: 'blake', 14256: 'blame', 63411: 'webb', 63412: 'webs', 14261: 'bland', 14262: 'blank', 14263: 'blare', 14264: 'blast', 14265: 'blat', 14266: 'blaze', 63421: 'weed', 63422: 'weedy', 62453: 'vendor', 63424: 'weeks', 63425: 'weep', 63426: 'weeps', 61416: 'trash', 63431: 'weigh', 63432: 'weird', 56123: 'swine', 63434: 'weld', 63435: 'well', 63436: 'wells', 63441: 'welsh', 45212: 'pepsi', 63443: 'went', 63444: 'wept', 63445: 'were', 44121: 'odor', 35151: 'ke', 63452: 'wet', 63453: 'wets', 63454: 'wf', 63455: 'wg', 63456: 'wh', 51536: 'riley', 63461: 'whale', 14661: 'bp', 14311: 'bldg', 14312: 'bleak', 14313: 'bleat', 14314: 'bled', 14315: 'bleed', 14316: 'blend', 14321: 'bless', 14322: 'blew', 14323: 'blimp', 14324: 'blind', 14325: 'blink', 14326: 'blip', 14331: 'blips', 14332: 'bliss', 14333: 'blithe', 14334: 'blitz', 14335: 'bloat', 14336: 'blob', 62464: 'verb', 14341: 'blobs', 14342: 'bloc', 14343: 'block', 14344: 'bloke', 14345: 'blond', 14346: 'blonde', 62466: 'verdi', 45214: 'perch', 14351: 'blood', 14352: 'bloom', 14353: 'bloop', 14354: 'blot', 14355: 'blotch', 14356: 'blots', 35161: 'keeps', 63512: 'when', 14361: 'blow', 14362: 'blown', 14363: 'blows', 14364: 'blt', 14365: 'blue', 14366: 'blues', 63521: 'while', 63522: 'whim', 63523: 'whine', 63524: 'whinny', 63525: 'whip', 63526: 'whips', 63531: 'whir', 63532: 'whirl', 63533: 'white', 63534: 'whiz', 63535: 'who', 63536: "who'd", 63541: 'whoa', 63542: 'whole', 63543: 'whom', 63544: 'whoop', 63545: 'whoosh', 63546: 'whose', 63551: 'why', 63552: 'wi', 63553: 'wick', 63554: 'wide', 63555: 'widen', 63556: 'wider', 63561: 'widow', 63562: 'width', 14411: 'bluff', 14412: 'blunt', 14413: 'blur', 14414: 'blurs', 14415: 'blurt', 14416: 'blush', 14421: 'blvd', 14422: 'blythe', 14423: 'bm', 14424: 'bmw', 14425: 'bn', 14426: 'bo', 14431: 'boa', 14432: 'boar', 14433: 'board', 14434: 'boast', 14435: 'boat', 14436: 'boats', 14441: 'bob', 14442: 'bobby', 14443: 'bobcat', 14444: 'bobs', 14445: 'bode', 14446: 'body', 64312: 'www', 14451: 'bog', 14452: 'bogey', 14453: 'boggy', 14454: 'bogs', 14455: 'bogus', 14456: 'boil', 63611: 'wild', 63612: 'wiley', 14461: 'boils', 14462: 'boise', 14463: 'bold', 14464: 'bolt', 14465: 'bolts', 14466: 'bomb', 63621: 'wilma', 63622: 'wilt', 63623: 'wily', 63624: 'wimp', 63625: 'wimpy', 63626: 'win', 64313: 'wwww', 63631: 'wince', 63632: 'winch', 63633: 'wind', 63634: 'windy', 63635: 'wine', 63636: 'wines', 66213: '48th', 63641: 'wing', 63642: 'wings', 63643: 'wink', 63644: 'winks', 63645: 'winnie', 63646: 'wino', 65221: 'zq', 63651: 'wins', 63652: 'winter', 63653: 'wipe', 63654: 'wire', 63655: 'wires', 63656: 'wiry', 64314: 'wx', 63661: 'wise', 63662: 'wiser', 14511: 'bombay', 14512: 'bombs', 14513: 'bond', 14514: 'bone', 14515: 'bones', 14516: 'bong', 14521: 'bongo', 14522: 'bonn', 46111: 'pork', 14524: 'bony', 14525: 'boo', 14526: 'boob', 13344: 'bart', 14531: 'booby', 14532: 'boogie', 14533: 'book', 14534: 'books', 13345: 'barter', 14536: 'boon', 64315: 'wxy', 13346: 'barton', 14542: 'boor', 14543: 'boost', 14544: 'boot', 14545: 'booth', 14546: 'boots', 14551: 'booty', 14552: 'booze', 14553: 'bop', 14554: 'borax', 14555: 'border', 14556: 'bore', 14561: 'bored', 14562: 'bores', 14563: 'borg', 14564: 'boris', 14565: 'born', 14566: 'borneo', 64316: 'wy', 54311: 'smear', 65234: 'zy', 54312: 'smell', 13353: 'basic', 13354: 'basil', 13355: 'basin', 46124: 'post', 14611: 'boron', 14612: 'bosom', 14613: 'boss', 14614: 'bossy', 14615: 'boston', 14616: 'botch', 14621: 'both', 14622: 'bottle', 14623: 'bough', 14624: 'bouncy', 14625: 'bound', 14626: 'bout', 65243: '!!', 14631: 'bovine', 14632: 'bow', 14633: 'bowed', 14634: 'bowel', 14635: 'bowie', 14636: 'bowl', 54322: 'smoke', 14641: 'bowls', 14642: 'bows', 14643: 'box', 14644: 'boxed', 14645: 'boxer', 14646: 'boxes', 46132: 'potato', 14651: 'boxy', 14652: 'boy', 14653: 'boyd', 14654: 'boyle', 13365: 'bat', 14656: 'bozo', 13366: 'batch', 14662: 'bq', 14663: 'br', 14664: 'bra', 14665: 'brace', 14666: 'brad', 65411: '14', 65334: '1000', 54331: 'sn', 54332: 'snack', 54333: 'snafu', 54334: 'snag', 65412: '1492', 31111: 'giant', 31112: 'giddy', 31113: 'gift', 31114: 'gifts', 31115: 'gig', 31116: 'gil', 31121: 'gila', 31122: 'gild', 31123: 'gill', 31124: 'gills', 31125: 'gilt', 31126: 'gimme', 65413: '14th', 31131: 'gimpy', 31132: 'gin', 31133: 'gina', 31134: 'ginger', 31135: 'gino', 31136: 'gird', 65264: '(tm)', 31141: 'girl', 31142: 'girls', 31143: 'girth', 31144: 'gist', 31145: 'give', 31146: 'given', 62535: 'vexes', 65266: '*', 31151: 'gives', 31152: 'gizmo', 31153: 'gj', 31154: 'gk', 31155: 'gl', 31156: 'glad', 65414: '15', 31161: 'glade', 31162: 'glamor', 51615: 'rival', 31164: 'gland', 31165: 'glare', 31166: 'glass', 35232: 'kh', 62541: 'vg', 64324: 'wynn', 64332: 'xa', 62545: 'vial', 31211: 'glaze', 31212: 'gleam', 31213: 'glean', 31214: 'glee', 31215: 'glen', 31216: 'glenn', 65416: '1500', 31221: 'glib', 31222: 'glide', 51625: 'rm', 31224: 'gloat', 31225: 'glob', 31226: 'globe', 51626: 'rn', 31231: 'gloom', 31232: 'glory', 31233: 'gloss', 31234: 'glove', 31235: 'glow', 31236: 'glows', 31241: 'glue', 31242: 'glued', 31243: 'gluey', 31244: 'gluing', 31245: 'glum', 31246: 'glut', 32515: 'hence', 31252: 'gmt', 31253: 'gn', 31254: 'gnash', 31255: 'gnat', 31256: 'gnaw', 16132: 'carat', 31261: 'gnaws', 31262: 'gnome', 31263: 'gnp', 31264: 'gnu', 31265: 'go', 31266: 'goad', 66221: '4:30', 45232: 'pert', 35251: 'kill', 51636: 'roam', 32525: 'herbs', 31312: 'goals', 31313: 'goat', 31314: 'goats', 31315: 'gob', 31316: 'god', 32526: 'herd', 31321: 'godly', 31322: 'gods', 31323: 'goes', 31324: 'goggle', 31325: 'gogh', 31326: 'gogo', 62565: 'vii', 31331: 'going', 31332: 'gold', 31333: 'golf', 31334: 'golly', 31335: 'gomez', 31336: 'gone', 31341: 'gong', 31342: 'goo', 51645: 'robin', 31344: 'goods', 31345: 'goody', 31346: 'gooey', 64115: 'wj', 64116: 'wk', 51646: 'robot', 31351: 'goof', 31352: 'goofy', 31353: 'goon', 31354: 'goose', 31355: 'gordon', 31356: 'gore', 64125: 'wo', 64126: 'woe', 31361: 'gorge', 31362: 'gory', 31363: 'gosh', 31364: 'gospel', 31365: 'got', 31366: 'gouge', 64135: 'wolff', 64136: 'woman', 32535: 'heron', 64141: 'womb', 64142: 'women', 64143: 'won', 64144: "won't", 16152: 'carp', 64146: 'wong', 64151: 'woo', 64152: 'wood', 64153: 'woods', 64154: 'woody', 64155: 'woof', 64156: 'wool', 64161: 'woos', 64162: 'word', 64163: 'words', 64164: 'wordy', 64165: 'wore', 64166: 'work', 16156: 'cars', 31411: 'gould', 31412: 'gourd', 31413: 'gout', 31414: 'govt', 31415: 'gown', 31416: 'gowns', 65311: '**', 66222: '4th', 31421: 'gp', 31422: 'gpa', 31423: 'gq', 31424: 'gr', 31425: 'grab', 31426: 'grabs', 32545: 'hexed', 31432: 'grad', 31433: 'grade', 31434: 'grady', 31435: 'graft', 31436: 'grail', 32546: 'hey', 31441: 'grain', 31442: 'gram', 31443: 'grams', 31444: 'grand', 31445: 'grant', 31446: 'grape', 64215: 'worn', 64216: 'worry', 65316: '1', 31451: 'graph', 31452: 'grasp', 31453: 'grass', 31454: 'grate', 31455: 'grave', 31456: 'gravel', 64225: 'wound', 64226: 'wove', 31461: 'gravy', 31462: 'gray', 31463: 'graze', 31464: 'great', 31465: 'greed', 31466: 'greedy', 64235: 'wr', 64236: 'wrap', 64241: 'wrath', 64242: 'wreak', 64243: 'wreck', 64244: 'wren', 64245: 'wring', 64246: 'wrist', 65321: '1%', 64251: 'write', 64252: 'writhe', 64253: 'wrong', 64254: 'wrote', 64255: 'wry', 64256: 'ws', 65323: '1/3', 64261: 'wsw', 64262: 'wt', 15111: 'brady', 15112: 'brag', 15113: 'brags', 15114: 'braid', 15115: 'brain', 15116: 'brainy', 15121: 'brake', 15122: 'bran', 15123: 'brand', 15124: 'brandy', 15125: 'brash', 15126: 'brass', 31511: 'greek', 31512: 'green', 31513: 'greet', 31514: 'greg', 15131: 'brassy', 15132: 'brat', 15133: 'brats', 15134: 'brave', 13445: 'bcd', 15136: 'brawl', 31521: 'grey', 31522: 'grid', 31523: 'grief', 31524: 'grieve', 15141: 'brawn', 15142: 'bray', 15143: 'brazil', 15144: 'bread', 15145: 'break', 15146: 'breath', 31531: 'grime', 31532: 'grimy', 31533: 'grin', 31534: 'grind', 15151: 'bred', 15152: 'breed', 15153: 'breeze', 15154: 'brew', 15155: 'brian', 15156: 'briar', 31541: 'gripe', 31542: 'grips', 31543: 'grist', 31544: 'grit', 31545: 'groan', 15162: 'brick', 15163: 'bride', 15164: 'bridge', 15165: 'brief', 15166: 'brig', 31551: 'groin', 31552: 'groom', 31553: 'groove', 31554: 'grope', 31555: 'gross', 31556: 'group', 64325: 'wz', 64326: 'x', 31561: 'grout', 31562: 'grove', 31563: 'grow', 31564: 'growl', 31565: 'grown', 31566: 'grows', 13453: 'beacon', 64336: 'xe', 13454: 'bead', 64342: 'xf', 64343: 'xg', 64344: 'xh', 64345: 'xi', 64346: 'xii', 46223: 'prick', 64351: 'xiii', 64352: 'xiv', 46224: 'pride', 55421: 'stops', 64355: 'xl', 64356: 'xm', 64361: 'xmas', 64362: 'xn', 15211: 'brim', 15212: 'brine', 15213: 'bring', 15214: 'brink', 15215: 'briny', 15216: 'brisk', 15221: 'broad', 15222: 'broil', 15223: 'broke', 15224: 'broken', 15225: 'bronco', 15226: 'bronx', 31611: 'grub', 31612: 'grubs', 31613: 'gruff', 31614: 'grunt', 31615: 'gs', 15232: 'brook', 15233: 'broom', 15234: 'broth', 15235: 'brow', 15236: 'brown', 31621: 'gu', 31622: 'guam', 31623: 'guano', 31624: 'guard', 15241: 'brows', 15242: 'browse', 15243: 'bruce', 15244: 'bruin', 15245: 'brunch', 15246: 'bruno', 31631: 'gui', 31632: 'guide', 31633: 'guild', 31634: 'guile', 15251: 'brunt', 15252: 'brush', 15253: 'brutal', 15254: 'brute', 13465: 'beans', 15256: 'bs', 31641: 'guitar', 31642: 'gulag', 31643: 'gulf', 31644: 'gull', 31645: 'gulls', 31646: 'gully', 15263: 'bu', 15264: 'bub', 15265: 'buck', 15266: 'bucks', 31651: 'gulp', 31652: 'gum', 31653: 'gumbo', 31654: 'gummy', 31655: 'gun', 31656: 'gunk', 64425: 'xxx', 64426: 'xxxx', 31661: 'guns', 31662: 'guppy', 31663: 'gurgle', 31664: 'guru', 31665: 'gus', 31666: 'gush', 64435: "y'all", 64436: "y's", 64441: 'ya', 64442: 'yacht', 54431: 'soars', 64444: 'yak', 64445: 'yale', 64446: 'yam', 66366: '6:00', 54432: 'sob', 64451: 'yamaha', 64452: 'yams', 64453: 'yang', 64454: 'yank', 54433: 'sober', 64456: 'yap', 54434: 'sobs', 64462: 'yards', 15311: 'bud', 15312: 'buddha', 15313: 'buddy', 15314: 'budge', 15315: 'buds', 15316: 'buff', 15321: 'bug', 15322: 'buggy', 15323: 'bugle', 15324: 'bugs', 15325: 'buick', 15326: 'build', 15331: 'built', 15332: 'bulb', 15333: 'bulbs', 15334: 'bulge', 15335: 'bulk', 15336: 'bulky', 15341: 'bull', 15342: 'bulls', 15343: 'bully', 15344: 'bum', 15345: 'bump', 15346: 'bumps', 65363: '12:30', 15351: 'bumpy', 15352: 'bums', 15353: 'bun', 15354: 'bunch', 15355: 'bunco', 15356: 'bundy', 64511: 'yc', 64512: 'yd', 15361: 'bunk', 15362: 'bunny', 15363: 'buns', 15364: 'bunt', 15365: 'bunts', 15366: 'buoy', 62636: 'vito', 64522: 'yeast', 64523: 'yeats', 64524: 'yell', 61615: 'turkey', 64526: 'yelp', 64531: 'yen', 64532: 'yep', 64533: 'yes', 64534: 'yet', 64535: 'yew', 64536: 'yews', 64541: 'yf', 64542: 'yg', 64543: 'yh', 64544: 'yi', 64545: 'yield', 64546: 'yin', 64551: 'yip', 64552: 'yips', 64553: 'yj', 64554: 'yk', 61616: 'turn', 64556: 'ym', 54113: 'skits', 64561: 'yn', 64562: 'yo', 15411: 'bureau', 15412: 'burg', 15413: 'burger', 15414: 'buried', 15415: 'burke', 15416: 'burly', 15421: 'burma', 15422: 'burn', 15423: 'burns', 15424: 'burnt', 15425: 'burp', 15426: 'burps', 62646: 'vk', 15431: 'burro', 15432: 'burst', 15433: 'burt', 15434: 'burton', 15435: 'bury', 15436: 'bus', 15441: 'bush', 15442: 'bushel', 15443: 'bushy', 15444: 'buss', 15445: 'bust', 15446: 'busy', 15451: 'but', 15452: 'butane', 15453: 'butch', 15454: 'butt', 15455: 'butte', 15456: 'buxom', 64611: 'yokel', 64612: 'yolk', 15461: 'buy', 15462: 'buyer', 15463: 'buys', 15464: 'buzz', 15465: 'bv', 15466: 'bvm', 16231: 'catsup', 64621: 'young', 64622: 'your', 64623: 'yours', 64624: 'youth', 32616: 'hilly', 64626: 'yp', 64631: 'yq', 64632: 'yr', 64633: 'yrs', 64634: 'ys', 62655: 'vo', 64636: 'ytd', 64641: 'yu', 64642: 'yucca', 64643: 'yuck', 64644: 'yukon', 64645: 'yule', 64646: 'yv', 64651: 'yw', 64652: 'yx', 64653: 'yy', 55423: 'stork', 64655: 'yyyy', 64656: 'yz', 64661: 'z', 64662: "z's", 15511: 'bw', 15512: 'bwana', 15513: 'bx', 15514: 'by', 15515: 'bye', 15516: 'bylaw', 62661: 'vodka', 15521: 'byline', 15522: 'byob', 15523: 'bypass', 15524: 'byrd', 15525: 'byron', 15526: 'byte', 16241: 'caves', 15531: 'bytes', 15532: 'byway', 16242: 'cavort', 15534: 'c', 15535: 'c#', 15536: 'c&w', 62664: 'void', 15541: "c's", 15542: 'c/o', 15543: 'ca', 15544: 'cab', 15545: 'cabal', 15546: 'cabana', 62666: 'volts', 15551: 'cabin', 15552: 'cable', 15553: 'cabot', 15554: 'cache', 15555: 'cackle', 15556: 'cacti', 64615: 'you', 15561: 'caddy', 15562: 'cadet', 15563: 'caesar', 15564: 'cafe', 15565: 'cage', 15566: 'caged', 35363: 'knife', 31616: 'gt', 16251: 'cccp', 16252: 'cd', 62516: 'verse', 16341: 'chap', 15611: 'cages', 15612: 'cagey', 15613: 'cain', 15614: 'cairn', 15615: 'cairo', 15616: 'cajun', 15621: 'cake', 15622: 'cakes', 15623: 'calf', 15624: 'calico', 15625: 'call', 15626: 'calls', 15631: 'callus', 15632: 'calm', 15633: 'calms', 15634: 'calvin', 15635: 'cam', 15636: 'came', 15641: 'camel', 15642: 'cameo', 15643: 'camera', 15644: 'camp', 15645: 'camps', 15646: 'camry', 16261: 'cedar', 15651: 'can', 15652: "can't", 32646: 'hitch', 15654: 'canary', 15655: 'cancer', 15656: 'candle', 65415: '15%', 15661: 'candy', 15662: 'cane', 15663: 'caned', 15664: 'canes', 15665: 'cannot', 15666: 'canny', 65421: '15th', 32654: 'hives', 65423: '1600', 63263: 'warp', 65424: '16th', 46311: 'prow', 32111: 'gust', 32112: 'gusto', 46312: 'prowl', 32114: 'gusty', 32115: 'gut', 32116: 'guts', 46313: 'proxy', 32121: 'gutsy', 32122: 'guy', 32123: 'guys', 32124: 'gv', 46314: 'prude', 32126: 'gwen', 63264: 'warren', 32131: 'gx', 32132: 'gy', 32133: 'gym', 32134: 'gyp', 32135: 'gypsum', 32136: 'gypsy', 65463: '1980', 65431: '1776', 32141: 'gyro', 32142: 'gz', 32143: 'h', 32144: "h's", 32145: 'h2o', 32146: 'ha', 32151: 'habit', 32152: 'hack', 32153: 'had', 32154: 'hag', 32155: 'haha', 32156: 'haiku', 65434: '1800', 32161: 'hail', 32162: 'hair', 32163: 'hairdo', 32164: 'hairs', 32165: 'hairy', 32166: 'haiti', 46321: 'ps', 46322: 'psalm', 46323: 'psi', 46324: 'psych', 63266: 'wart', 32211: 'hal', 32212: 'half', 32213: 'hall', 32214: 'halls', 32215: 'halo', 32216: 'halt', 32221: 'halts', 32222: 'halve', 32223: 'ham', 32224: 'hamlet', 32225: 'hammer', 32226: 'hams', 46331: 'pub', 32231: 'hand', 32232: 'handle', 13564: 'begs', 32234: 'handy', 32235: 'hang', 32236: 'hank', 46333: 'pubs', 32241: 'hanna', 32242: 'hans', 32243: 'happy', 32244: 'hard', 46334: 'puck', 32246: 'hare', 32251: 'harem', 32252: 'hark', 32253: 'harley', 32254: 'harm', 32255: 'harms', 32256: 'harp', 32261: 'harps', 32262: 'harry', 32263: 'harsh', 32264: 'hart', 32265: 'harv', 32266: 'harvey', 32311: 'has', 32312: 'hash', 32313: 'hasp', 32314: 'haste', 32315: 'hasty', 32316: 'hat', 32321: 'hatch', 32322: 'hate', 32323: 'hates', 32324: 'hatred', 32325: 'hats', 32326: 'haul', 15261: 'bt', 32331: 'hauls', 32332: 'haunt', 32333: 'have', 32334: 'haven', 32335: 'havoc', 32336: 'hawk', 65464: '1985', 32341: 'hawks', 32342: 'hay', 32343: 'haydn', 32344: 'hayes', 32345: 'hazard', 32346: 'haze', 65115: 'zeal', 65116: 'zealot', 65466: '1991', 32351: 'hazel', 32352: 'hazy', 32353: 'hb', 32354: 'hc', 32355: 'hd', 32356: 'hdtv', 65125: 'zest', 61635: 'twa', 32361: 'he', 32362: "he'd", 32363: "he'll", 32364: 'head', 32365: 'heads', 32366: 'heady', 65135: 'zi', 65136: 'zig', 65141: 'ziggy', 65142: 'zigzag', 65143: 'zilch', 65144: 'zinc', 65145: 'zing', 65146: 'zion', 65151: 'zip', 65152: 'zips', 65153: 'ziti', 65154: 'zj', 65155: 'zk', 65156: 'zl', 64364: 'xp', 65162: 'zn', 65163: 'zo', 65164: 'zoe', 65165: 'zone', 65166: 'zoned', 32411: 'heal', 32412: 'heals', 32413: 'heap', 32414: 'heaps', 32415: 'hear', 32416: 'heard', 32421: 'hears', 32422: 'heart', 32423: 'heat', 32424: 'heath', 32425: 'heats', 32426: 'heave', 32431: 'heaven', 32432: 'heavy', 32433: 'hebrew', 32434: 'heck', 32435: 'heckle', 32436: 'hectic', 32441: 'hedge', 32442: 'heed', 32443: 'heel', 32444: 'heels', 32445: 'heft', 32446: 'hefty', 65215: 'zowie', 65216: 'zp', 32451: 'height', 32452: 'heinz', 32453: 'heir', 32454: 'heirs', 32455: 'held', 32456: 'helen', 65225: 'zu', 65226: 'zulu', 32461: 'helga', 32462: 'helix', 32463: 'hell', 32464: 'hello', 32465: 'helm', 32466: 'help', 65235: 'zz', 65236: 'zzz', 65241: 'zzzz', 65242: '!', 16335: 'chant', 65244: '""""', 65245: '#', 65246: '##', 65251: '$', 65252: '$$', 65253: '%', 65254: '%%', 65255: '&', 65256: '(', 65261: '()', 65262: '(c)', 16111: 'canoe', 16112: 'canon', 16113: 'canopy', 16114: 'cans', 16115: 'canto', 16116: 'canvas', 16121: 'canyon', 16122: 'cap', 16123: 'cape', 16124: 'caped', 16125: 'caper', 16126: 'capri', 32511: 'hem', 32512: 'hemp', 32513: 'hems', 32514: 'hen', 16131: 'car', 32516: 'henry', 16133: 'carbon', 16134: 'card', 16135: 'care', 16136: 'cares', 32521: 'hens', 32522: 'hep', 32523: 'her', 32524: 'herb', 16141: 'caress', 16142: 'caret', 16143: 'cargo', 16144: 'carl', 16145: 'carla', 16146: 'carlo', 32531: 'here', 32532: 'hero', 32533: 'herod', 32534: 'heroic', 16151: 'carol', 32536: 'herr', 16153: 'carpet', 16154: 'carrie', 16155: 'carry', 31635: 'guilt', 32541: 'hers', 32542: 'hertz', 32543: 'hew', 32544: 'hex', 16161: 'carson', 16162: 'cart', 16163: 'caruso', 16164: 'carve', 16165: 'case', 16166: 'cases', 32551: 'hf', 32552: 'hg', 32553: 'hh', 32554: 'hhh', 32555: 'hhhh', 32556: 'hi', 65325: '1/8', 65326: '10', 32561: 'hick', 32562: 'hid', 32563: 'hide', 32564: 'hides', 32565: 'high', 32566: 'hij', 65335: '100th', 65336: '101', 31636: 'guise', 65341: '101st', 65342: '10:00', 65343: '10:30', 65344: '10th', 65345: '11', 65346: '111', 65351: '1111', 65352: '11:00', 65353: '11:30', 65354: '11th', 65355: '12', 65356: '123', 65361: '1234', 65362: '12:00', 16211: 'casey', 16212: 'cash', 16213: 'cashew', 16214: 'cask', 16215: 'casket', 16216: 'cast', 16221: 'caste', 16222: 'cat', 16223: 'catch', 16224: 'cater', 16225: 'cathy', 16226: 'cats', 32611: 'hijack', 32612: 'hike', 32613: 'hikes', 32614: 'hill', 32615: 'hills', 16232: 'catty', 16233: 'caulk', 16234: 'cause', 16235: 'cave', 16236: 'cavern', 32621: 'hilt', 32622: 'him', 32623: 'hind', 32624: 'hindu', 32625: 'hinge', 32626: 'hint', 16243: 'cb', 16244: 'cc', 16245: 'ccc', 16246: 'cccc', 32631: 'hints', 32632: 'hip', 32633: 'hippo', 32634: 'hips', 32635: 'hiram', 32636: 'hire', 16253: 'cde', 16254: 'ce', 16255: 'cease', 16256: 'cecil', 32641: 'hired', 32642: 'hires', 32643: 'his', 32644: 'hiss', 32645: 'hit', 16262: 'cede', 16263: 'celery', 16264: 'celia', 16265: 'cell', 16266: 'cello', 32651: 'hits', 32652: 'hiv', 32653: 'hive', 12544: 'asthma', 32655: 'hj', 32656: 'hk', 65425: '17', 65426: '1700', 32661: 'hl', 32662: 'hm', 32663: 'hn', 32664: 'ho', 32665: 'hoagy', 32666: 'hoard', 65435: '18th', 65436: '19', 65441: '1900', 65442: '1910', 65443: '1920', 65444: '1925', 65445: '1930', 65446: '1935', 42551: 'mousy', 65451: '1940', 65452: '1945', 65453: '1950', 65454: '1955', 65455: '1960', 65456: '1965', 65465: '1990', 64616: "you'd", 65461: '1970', 65462: '1975', 16311: 'census', 16312: 'cent', 16313: 'cents', 16314: 'ceo', 16315: 'cesar', 16316: 'cf', 16321: 'cg', 16322: 'ch', 16323: 'chad', 16324: 'chafe', 16325: 'chaff', 16326: 'chain', 46412: 'puns', 16331: 'chair', 16332: 'chalk', 16333: 'champ', 16334: 'chance', 13645: 'benny', 16336: 'chaos', 13646: 'bent', 16342: 'chapel', 16343: 'char', 16344: 'charm', 16345: 'chart', 16346: 'chase', 16351: 'chasm', 16352: 'chaste', 16353: 'chat', 16354: 'chats', 16355: 'cheap', 16356: 'cheat', 65511: '1992', 65512: '1993', 16361: 'check', 16362: 'cheek', 16363: 'cheeky', 16364: 'cheer', 16365: 'chef', 16366: 'cherub', 65521: '19th', 65522: '1:00', 65523: '1:30', 65524: '1st', 65525: '2', 65526: '2%', 65531: '2/3', 65532: '20', 65533: '20%', 65534: '200', 46421: 'pupil'}

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9

1f463b9ce36433237b51bd191da296c64f228086

196

py

Python

math_utils.py

ctoth/shooter

2151678355553527a944c29678c13f741c1ee6c9

[ "MIT" ]

null

math_utils.py

ctoth/shooter

2151678355553527a944c29678c13f741c1ee6c9

[ "MIT" ]

null

math_utils.py

ctoth/shooter

2151678355553527a944c29678c13f741c1ee6c9

[ "MIT" ]

null

from __future__ import division import math def percentage(what, percent): return (what / 100.0) * percent def inverse_percentage(what, percent): return 100.0 / 100.0 / what * percent

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py

Python

alien4cloud-cloudify3-provider/src/test/resources/outputs/blueprints/openstack/storage/plugins/custom_wf_plugin/plugin/workflows.py

alien4cloud/alien4cloud-cloudify4-provider

97faee855255eb0c3ce25bb3075c29acd11a63c5

[ "Apache-2.0" ]

null

alien4cloud-cloudify3-provider/src/test/resources/outputs/blueprints/openstack/storage/plugins/custom_wf_plugin/plugin/workflows.py

alien4cloud/alien4cloud-cloudify4-provider

97faee855255eb0c3ce25bb3075c29acd11a63c5

[ "Apache-2.0" ]

3

2015-12-04T15:27:22.000Z

2016-04-08T11:32:43.000Z

alien4cloud-cloudify3-provider/src/test/resources/outputs/blueprints/openstack/storage/plugins/custom_wf_plugin/plugin/workflows.py

alien4cloud/alien4cloud-cloudify4-provider

97faee855255eb0c3ce25bb3075c29acd11a63c5

[ "Apache-2.0" ]

16

2015-01-29T10:05:09.000Z

2019-06-24T19:23:54.000Z

from cloudify.decorators import workflow from cloudify.workflows import ctx from cloudify.workflows import tasks as workflow_tasks from utils import set_state_task from utils import operation_task from utils import link_tasks from utils import CustomContext from utils import generate_native_node_workflows from utils import _get_all_nodes from utils import _get_all_nodes_instances from utils import _get_all_modified_node_instances from utils import is_host_node from workflow import WfStartEvent from workflow import build_pre_event # subworkflow 'install' for host 'Compute' def install_host_compute(ctx, graph, custom_context): custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_1') set_state_task(ctx, graph, 'LinuxFileSystem_2', 'configuring', 'LinuxFileSystem_2_configuring', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'configuring', 'LinuxFileSystem_4_configuring', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'starting', 'LinuxFileSystem_3_starting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'configuring', 'LinuxFileSystem_1_configuring', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'creating', 'LinuxFileSystem_3_creating', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'configuring', 'LinuxFileSystem_3_configuring', custom_context) custom_context.register_native_delegate_wf_step('Compute', 'Compute_install') set_state_task(ctx, graph, 'LinuxFileSystem_4', 'started', 'LinuxFileSystem_4_started', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'started', 'LinuxFileSystem_3_started', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'created', 'LinuxFileSystem_4_created', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_1', 'cloudify.interfaces.lifecycle.configure', 'configure_LinuxFileSystem_1', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_3', 'cloudify.interfaces.lifecycle.start', 'start_LinuxFileSystem_3', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'created', 'LinuxFileSystem_2_created', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_2', 'cloudify.interfaces.lifecycle.configure', 'configure_LinuxFileSystem_2', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_4', 'cloudify.interfaces.lifecycle.start', 'start_LinuxFileSystem_4', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_1', 'cloudify.interfaces.lifecycle.start', 'start_LinuxFileSystem_1', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'created', 'LinuxFileSystem_3_created', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_3', 'cloudify.interfaces.lifecycle.configure', 'configure_LinuxFileSystem_3', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'configured', 'LinuxFileSystem_2_configured', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_2', 'cloudify.interfaces.lifecycle.start', 'start_LinuxFileSystem_2', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_4', 'cloudify.interfaces.lifecycle.configure', 'configure_LinuxFileSystem_4', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'initial', 'LinuxFileSystem_3_initial', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'initial', 'LinuxFileSystem_2_initial', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'creating', 'LinuxFileSystem_2_creating', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'initial', 'LinuxFileSystem_4_initial', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'initial', 'LinuxFileSystem_1_initial', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'created', 'LinuxFileSystem_1_created', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'started', 'LinuxFileSystem_1_started', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'started', 'LinuxFileSystem_2_started', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'configured', 'LinuxFileSystem_3_configured', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'starting', 'LinuxFileSystem_2_starting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'configured', 'LinuxFileSystem_1_configured', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'creating', 'LinuxFileSystem_4_creating', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'starting', 'LinuxFileSystem_1_starting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'starting', 'LinuxFileSystem_4_starting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'configured', 'LinuxFileSystem_4_configured', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'creating', 'LinuxFileSystem_1_creating', custom_context) custom_context.register_native_delegate_wf_step('CBS4', 'CBS4_install') custom_context.register_native_delegate_wf_step('CBS3', 'CBS3_install') custom_context.register_native_delegate_wf_step('CBS1', 'CBS1_install') custom_context.register_native_delegate_wf_step('CBS2', 'CBS2_install') generate_native_node_workflows(ctx, graph, custom_context, 'install') link_tasks(graph, 'configure_LinuxFileSystem_2', 'LinuxFileSystem_2_configuring', custom_context) link_tasks(graph, 'configure_LinuxFileSystem_4', 'LinuxFileSystem_4_configuring', custom_context) link_tasks(graph, 'start_LinuxFileSystem_3', 'LinuxFileSystem_3_starting', custom_context) link_tasks(graph, 'configure_LinuxFileSystem_1', 'LinuxFileSystem_1_configuring', custom_context) link_tasks(graph, 'LinuxFileSystem_3_created', 'LinuxFileSystem_3_creating', custom_context) link_tasks(graph, 'configure_LinuxFileSystem_3', 'LinuxFileSystem_3_configuring', custom_context) link_tasks(graph, 'LinuxFileSystem_3_initial', 'Compute_install', custom_context) link_tasks(graph, 'LinuxFileSystem_2_initial', 'Compute_install', custom_context) link_tasks(graph, 'LinuxFileSystem_4_initial', 'Compute_install', custom_context) link_tasks(graph, 'LinuxFileSystem_1_initial', 'Compute_install', custom_context) link_tasks(graph, 'LinuxFileSystem_4_configuring', 'LinuxFileSystem_4_created', custom_context) link_tasks(graph, 'LinuxFileSystem_1_configured', 'configure_LinuxFileSystem_1', custom_context) link_tasks(graph, 'LinuxFileSystem_3_started', 'start_LinuxFileSystem_3', custom_context) link_tasks(graph, 'LinuxFileSystem_2_configuring', 'LinuxFileSystem_2_created', custom_context) link_tasks(graph, 'LinuxFileSystem_2_configured', 'configure_LinuxFileSystem_2', custom_context) link_tasks(graph, 'LinuxFileSystem_4_started', 'start_LinuxFileSystem_4', custom_context) link_tasks(graph, 'LinuxFileSystem_1_started', 'start_LinuxFileSystem_1', custom_context) link_tasks(graph, 'LinuxFileSystem_3_configuring', 'LinuxFileSystem_3_created', custom_context) link_tasks(graph, 'LinuxFileSystem_3_configured', 'configure_LinuxFileSystem_3', custom_context) link_tasks(graph, 'LinuxFileSystem_2_starting', 'LinuxFileSystem_2_configured', custom_context) link_tasks(graph, 'LinuxFileSystem_2_started', 'start_LinuxFileSystem_2', custom_context) link_tasks(graph, 'LinuxFileSystem_4_configured', 'configure_LinuxFileSystem_4', custom_context) link_tasks(graph, 'LinuxFileSystem_3_creating', 'LinuxFileSystem_3_initial', custom_context) link_tasks(graph, 'LinuxFileSystem_2_creating', 'LinuxFileSystem_2_initial', custom_context) link_tasks(graph, 'LinuxFileSystem_2_created', 'LinuxFileSystem_2_creating', custom_context) link_tasks(graph, 'LinuxFileSystem_4_creating', 'LinuxFileSystem_4_initial', custom_context) link_tasks(graph, 'LinuxFileSystem_1_creating', 'LinuxFileSystem_1_initial', custom_context) link_tasks(graph, 'LinuxFileSystem_1_configuring', 'LinuxFileSystem_1_created', custom_context) link_tasks(graph, 'LinuxFileSystem_3_starting', 'LinuxFileSystem_3_configured', custom_context) link_tasks(graph, 'start_LinuxFileSystem_2', 'LinuxFileSystem_2_starting', custom_context) link_tasks(graph, 'LinuxFileSystem_1_starting', 'LinuxFileSystem_1_configured', custom_context) link_tasks(graph, 'LinuxFileSystem_4_created', 'LinuxFileSystem_4_creating', custom_context) link_tasks(graph, 'start_LinuxFileSystem_1', 'LinuxFileSystem_1_starting', custom_context) link_tasks(graph, 'start_LinuxFileSystem_4', 'LinuxFileSystem_4_starting', custom_context) link_tasks(graph, 'LinuxFileSystem_4_starting', 'LinuxFileSystem_4_configured', custom_context) link_tasks(graph, 'LinuxFileSystem_1_created', 'LinuxFileSystem_1_creating', custom_context) link_tasks(graph, 'LinuxFileSystem_4_initial', 'CBS4_install', custom_context) link_tasks(graph, 'LinuxFileSystem_3_initial', 'CBS3_install', custom_context) link_tasks(graph, 'LinuxFileSystem_1_initial', 'CBS1_install', custom_context) link_tasks(graph, 'LinuxFileSystem_2_initial', 'CBS2_install', custom_context) # subworkflow 'uninstall' for host 'Compute' def uninstall_host_compute(ctx, graph, custom_context): custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.register_native_delegate_wf_step('Compute', 'Compute_uninstall') set_state_task(ctx, graph, 'LinuxFileSystem_4', 'stopping', 'LinuxFileSystem_4_stopping', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'deleting', 'LinuxFileSystem_2_deleting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'stopping', 'LinuxFileSystem_3_stopping', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'deleted', 'LinuxFileSystem_2_deleted', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'deleted', 'LinuxFileSystem_1_deleted', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'deleting', 'LinuxFileSystem_3_deleting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'stopped', 'LinuxFileSystem_1_stopped', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'deleting', 'LinuxFileSystem_4_deleting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'deleting', 'LinuxFileSystem_1_deleting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'stopped', 'LinuxFileSystem_2_stopped', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'stopping', 'LinuxFileSystem_2_stopping', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'stopped', 'LinuxFileSystem_3_stopped', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'deleted', 'LinuxFileSystem_4_deleted', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'stopped', 'LinuxFileSystem_4_stopped', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'deleted', 'LinuxFileSystem_3_deleted', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_1', 'cloudify.interfaces.lifecycle.stop', 'stop_LinuxFileSystem_1', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_2', 'cloudify.interfaces.lifecycle.stop', 'stop_LinuxFileSystem_2', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_3', 'cloudify.interfaces.lifecycle.stop', 'stop_LinuxFileSystem_3', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_4', 'cloudify.interfaces.lifecycle.stop', 'stop_LinuxFileSystem_4', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'stopping', 'LinuxFileSystem_1_stopping', custom_context) custom_context.register_native_delegate_wf_step('CBS2', 'CBS2_uninstall') custom_context.register_native_delegate_wf_step('CBS4', 'CBS4_uninstall') custom_context.register_native_delegate_wf_step('CBS1', 'CBS1_uninstall') custom_context.register_native_delegate_wf_step('CBS3', 'CBS3_uninstall') generate_native_node_workflows(ctx, graph, custom_context, 'uninstall') link_tasks(graph, 'stop_LinuxFileSystem_4', 'LinuxFileSystem_4_stopping', custom_context) link_tasks(graph, 'LinuxFileSystem_2_deleted', 'LinuxFileSystem_2_deleting', custom_context) link_tasks(graph, 'stop_LinuxFileSystem_3', 'LinuxFileSystem_3_stopping', custom_context) link_tasks(graph, 'Compute_uninstall', 'LinuxFileSystem_2_deleted', custom_context) link_tasks(graph, 'CBS2_uninstall', 'LinuxFileSystem_2_deleted', custom_context) link_tasks(graph, 'Compute_uninstall', 'LinuxFileSystem_1_deleted', custom_context) link_tasks(graph, 'CBS1_uninstall', 'LinuxFileSystem_1_deleted', custom_context) link_tasks(graph, 'LinuxFileSystem_3_deleted', 'LinuxFileSystem_3_deleting', custom_context) link_tasks(graph, 'LinuxFileSystem_1_deleting', 'LinuxFileSystem_1_stopped', custom_context) link_tasks(graph, 'LinuxFileSystem_4_deleted', 'LinuxFileSystem_4_deleting', custom_context) link_tasks(graph, 'LinuxFileSystem_1_deleted', 'LinuxFileSystem_1_deleting', custom_context) link_tasks(graph, 'LinuxFileSystem_2_deleting', 'LinuxFileSystem_2_stopped', custom_context) link_tasks(graph, 'stop_LinuxFileSystem_2', 'LinuxFileSystem_2_stopping', custom_context) link_tasks(graph, 'LinuxFileSystem_3_deleting', 'LinuxFileSystem_3_stopped', custom_context) link_tasks(graph, 'Compute_uninstall', 'LinuxFileSystem_4_deleted', custom_context) link_tasks(graph, 'CBS4_uninstall', 'LinuxFileSystem_4_deleted', custom_context) link_tasks(graph, 'LinuxFileSystem_4_deleting', 'LinuxFileSystem_4_stopped', custom_context) link_tasks(graph, 'CBS3_uninstall', 'LinuxFileSystem_3_deleted', custom_context) link_tasks(graph, 'Compute_uninstall', 'LinuxFileSystem_3_deleted', custom_context) link_tasks(graph, 'LinuxFileSystem_1_stopped', 'stop_LinuxFileSystem_1', custom_context) link_tasks(graph, 'LinuxFileSystem_2_stopped', 'stop_LinuxFileSystem_2', custom_context) link_tasks(graph, 'LinuxFileSystem_3_stopped', 'stop_LinuxFileSystem_3', custom_context) link_tasks(graph, 'LinuxFileSystem_4_stopped', 'stop_LinuxFileSystem_4', custom_context) link_tasks(graph, 'stop_LinuxFileSystem_1', 'LinuxFileSystem_1_stopping', custom_context) def install_host(ctx, graph, custom_context, compute): options = {} options['Compute'] = install_host_compute options[compute](ctx, graph, custom_context) def uninstall_host(ctx, graph, custom_context, compute): options = {} options['Compute'] = uninstall_host_compute options[compute](ctx, graph, custom_context) @workflow def a4c_install(**kwargs): graph = ctx.graph_mode() nodes = _get_all_nodes(ctx) instances = _get_all_nodes_instances(ctx) custom_context = CustomContext(ctx, instances, nodes) ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('install'))) _a4c_install(ctx, graph, custom_context) return graph.execute() @workflow def a4c_uninstall(**kwargs): graph = ctx.graph_mode() nodes = _get_all_nodes(ctx) instances = _get_all_nodes_instances(ctx) custom_context = CustomContext(ctx, instances, nodes) ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('uninstall'))) _a4c_uninstall(ctx, graph, custom_context) return graph.execute() def _a4c_install(ctx, graph, custom_context): # following code can be pasted in src/test/python/workflows/tasks.py for simulation custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_1') set_state_task(ctx, graph, 'LinuxFileSystem_2', 'configuring', 'LinuxFileSystem_2_configuring', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'configuring', 'LinuxFileSystem_4_configuring', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'starting', 'LinuxFileSystem_3_starting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'configuring', 'LinuxFileSystem_1_configuring', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'creating', 'LinuxFileSystem_3_creating', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'configuring', 'LinuxFileSystem_3_configuring', custom_context) custom_context.register_native_delegate_wf_step('Compute', 'Compute_install') set_state_task(ctx, graph, 'LinuxFileSystem_4', 'started', 'LinuxFileSystem_4_started', custom_context) custom_context.register_native_delegate_wf_step('CBS4', 'CBS4_install') set_state_task(ctx, graph, 'LinuxFileSystem_3', 'started', 'LinuxFileSystem_3_started', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'created', 'LinuxFileSystem_4_created', custom_context) custom_context.register_native_delegate_wf_step('CBS3', 'CBS3_install') operation_task(ctx, graph, 'LinuxFileSystem_1', 'cloudify.interfaces.lifecycle.configure', 'configure_LinuxFileSystem_1', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_3', 'cloudify.interfaces.lifecycle.start', 'start_LinuxFileSystem_3', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'created', 'LinuxFileSystem_2_created', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_2', 'cloudify.interfaces.lifecycle.configure', 'configure_LinuxFileSystem_2', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_4', 'cloudify.interfaces.lifecycle.start', 'start_LinuxFileSystem_4', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_1', 'cloudify.interfaces.lifecycle.start', 'start_LinuxFileSystem_1', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'created', 'LinuxFileSystem_3_created', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_3', 'cloudify.interfaces.lifecycle.configure', 'configure_LinuxFileSystem_3', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'configured', 'LinuxFileSystem_2_configured', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_2', 'cloudify.interfaces.lifecycle.start', 'start_LinuxFileSystem_2', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_4', 'cloudify.interfaces.lifecycle.configure', 'configure_LinuxFileSystem_4', custom_context) custom_context.register_native_delegate_wf_step('PublicNetwork', 'PublicNetwork_install') set_state_task(ctx, graph, 'LinuxFileSystem_3', 'initial', 'LinuxFileSystem_3_initial', custom_context) custom_context.register_native_delegate_wf_step('CBS1', 'CBS1_install') set_state_task(ctx, graph, 'LinuxFileSystem_2', 'initial', 'LinuxFileSystem_2_initial', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'creating', 'LinuxFileSystem_2_creating', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'initial', 'LinuxFileSystem_4_initial', custom_context) custom_context.register_native_delegate_wf_step('CBS2', 'CBS2_install') set_state_task(ctx, graph, 'LinuxFileSystem_1', 'initial', 'LinuxFileSystem_1_initial', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'created', 'LinuxFileSystem_1_created', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'started', 'LinuxFileSystem_1_started', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'started', 'LinuxFileSystem_2_started', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'configured', 'LinuxFileSystem_3_configured', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'starting', 'LinuxFileSystem_2_starting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'configured', 'LinuxFileSystem_1_configured', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'creating', 'LinuxFileSystem_4_creating', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'starting', 'LinuxFileSystem_1_starting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'starting', 'LinuxFileSystem_4_starting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'configured', 'LinuxFileSystem_4_configured', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'creating', 'LinuxFileSystem_1_creating', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'install') link_tasks(graph, 'LinuxFileSystem_2_configuring', 'LinuxFileSystem_2_created', custom_context) link_tasks(graph, 'LinuxFileSystem_4_configuring', 'LinuxFileSystem_4_created', custom_context) link_tasks(graph, 'LinuxFileSystem_3_starting', 'LinuxFileSystem_3_configured', custom_context) link_tasks(graph, 'LinuxFileSystem_1_configuring', 'LinuxFileSystem_1_created', custom_context) link_tasks(graph, 'LinuxFileSystem_3_creating', 'LinuxFileSystem_3_initial', custom_context) link_tasks(graph, 'LinuxFileSystem_3_configuring', 'LinuxFileSystem_3_created', custom_context) link_tasks(graph, 'LinuxFileSystem_4_started', 'start_LinuxFileSystem_4', custom_context) link_tasks(graph, 'LinuxFileSystem_3_started', 'start_LinuxFileSystem_3', custom_context) link_tasks(graph, 'LinuxFileSystem_4_created', 'LinuxFileSystem_4_creating', custom_context) link_tasks(graph, 'configure_LinuxFileSystem_1', 'LinuxFileSystem_1_configuring', custom_context) link_tasks(graph, 'start_LinuxFileSystem_3', 'LinuxFileSystem_3_starting', custom_context) link_tasks(graph, 'LinuxFileSystem_2_created', 'LinuxFileSystem_2_creating', custom_context) link_tasks(graph, 'configure_LinuxFileSystem_2', 'LinuxFileSystem_2_configuring', custom_context) link_tasks(graph, 'start_LinuxFileSystem_4', 'LinuxFileSystem_4_starting', custom_context) link_tasks(graph, 'start_LinuxFileSystem_1', 'LinuxFileSystem_1_starting', custom_context) link_tasks(graph, 'LinuxFileSystem_3_created', 'LinuxFileSystem_3_creating', custom_context) link_tasks(graph, 'configure_LinuxFileSystem_3', 'LinuxFileSystem_3_configuring', custom_context) link_tasks(graph, 'LinuxFileSystem_2_configured', 'configure_LinuxFileSystem_2', custom_context) link_tasks(graph, 'start_LinuxFileSystem_2', 'LinuxFileSystem_2_starting', custom_context) link_tasks(graph, 'configure_LinuxFileSystem_4', 'LinuxFileSystem_4_configuring', custom_context) link_tasks(graph, 'LinuxFileSystem_3_initial', 'Compute_install', custom_context) link_tasks(graph, 'LinuxFileSystem_3_initial', 'CBS3_install', custom_context) link_tasks(graph, 'LinuxFileSystem_2_initial', 'Compute_install', custom_context) link_tasks(graph, 'LinuxFileSystem_2_initial', 'CBS2_install', custom_context) link_tasks(graph, 'LinuxFileSystem_2_creating', 'LinuxFileSystem_2_initial', custom_context) link_tasks(graph, 'LinuxFileSystem_4_initial', 'Compute_install', custom_context) link_tasks(graph, 'LinuxFileSystem_4_initial', 'CBS4_install', custom_context) link_tasks(graph, 'LinuxFileSystem_1_initial', 'Compute_install', custom_context) link_tasks(graph, 'LinuxFileSystem_1_initial', 'CBS1_install', custom_context) link_tasks(graph, 'LinuxFileSystem_1_created', 'LinuxFileSystem_1_creating', custom_context) link_tasks(graph, 'LinuxFileSystem_1_started', 'start_LinuxFileSystem_1', custom_context) link_tasks(graph, 'LinuxFileSystem_2_started', 'start_LinuxFileSystem_2', custom_context) link_tasks(graph, 'LinuxFileSystem_3_configured', 'configure_LinuxFileSystem_3', custom_context) link_tasks(graph, 'LinuxFileSystem_2_starting', 'LinuxFileSystem_2_configured', custom_context) link_tasks(graph, 'LinuxFileSystem_1_configured', 'configure_LinuxFileSystem_1', custom_context) link_tasks(graph, 'LinuxFileSystem_4_creating', 'LinuxFileSystem_4_initial', custom_context) link_tasks(graph, 'LinuxFileSystem_1_starting', 'LinuxFileSystem_1_configured', custom_context) link_tasks(graph, 'LinuxFileSystem_4_starting', 'LinuxFileSystem_4_configured', custom_context) link_tasks(graph, 'LinuxFileSystem_4_configured', 'configure_LinuxFileSystem_4', custom_context) link_tasks(graph, 'LinuxFileSystem_1_creating', 'LinuxFileSystem_1_initial', custom_context) def _a4c_uninstall(ctx, graph, custom_context): # following code can be pasted in src/test/python/workflows/tasks.py for simulation custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_2') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_4') custom_context.add_customized_wf_node('LinuxFileSystem_3') custom_context.add_customized_wf_node('LinuxFileSystem_1') custom_context.register_native_delegate_wf_step('Compute', 'Compute_uninstall') custom_context.register_native_delegate_wf_step('PublicNetwork', 'PublicNetwork_uninstall') set_state_task(ctx, graph, 'LinuxFileSystem_4', 'stopping', 'LinuxFileSystem_4_stopping', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'deleting', 'LinuxFileSystem_2_deleting', custom_context) custom_context.register_native_delegate_wf_step('CBS2', 'CBS2_uninstall') set_state_task(ctx, graph, 'LinuxFileSystem_3', 'stopping', 'LinuxFileSystem_3_stopping', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'deleted', 'LinuxFileSystem_2_deleted', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'deleted', 'LinuxFileSystem_1_deleted', custom_context) custom_context.register_native_delegate_wf_step('CBS4', 'CBS4_uninstall') set_state_task(ctx, graph, 'LinuxFileSystem_3', 'deleting', 'LinuxFileSystem_3_deleting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'stopped', 'LinuxFileSystem_1_stopped', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'deleting', 'LinuxFileSystem_4_deleting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'deleting', 'LinuxFileSystem_1_deleting', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'stopped', 'LinuxFileSystem_2_stopped', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_2', 'stopping', 'LinuxFileSystem_2_stopping', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'stopped', 'LinuxFileSystem_3_stopped', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_4', 'deleted', 'LinuxFileSystem_4_deleted', custom_context) custom_context.register_native_delegate_wf_step('CBS1', 'CBS1_uninstall') set_state_task(ctx, graph, 'LinuxFileSystem_4', 'stopped', 'LinuxFileSystem_4_stopped', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_3', 'deleted', 'LinuxFileSystem_3_deleted', custom_context) custom_context.register_native_delegate_wf_step('CBS3', 'CBS3_uninstall') operation_task(ctx, graph, 'LinuxFileSystem_1', 'cloudify.interfaces.lifecycle.stop', 'stop_LinuxFileSystem_1', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_2', 'cloudify.interfaces.lifecycle.stop', 'stop_LinuxFileSystem_2', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_3', 'cloudify.interfaces.lifecycle.stop', 'stop_LinuxFileSystem_3', custom_context) operation_task(ctx, graph, 'LinuxFileSystem_4', 'cloudify.interfaces.lifecycle.stop', 'stop_LinuxFileSystem_4', custom_context) set_state_task(ctx, graph, 'LinuxFileSystem_1', 'stopping', 'LinuxFileSystem_1_stopping', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'uninstall') link_tasks(graph, 'Compute_uninstall', 'LinuxFileSystem_2_deleted', custom_context) link_tasks(graph, 'Compute_uninstall', 'LinuxFileSystem_1_deleted', custom_context) link_tasks(graph, 'Compute_uninstall', 'LinuxFileSystem_4_deleted', custom_context) link_tasks(graph, 'Compute_uninstall', 'LinuxFileSystem_3_deleted', custom_context) link_tasks(graph, 'LinuxFileSystem_2_deleting', 'LinuxFileSystem_2_stopped', custom_context) link_tasks(graph, 'CBS2_uninstall', 'LinuxFileSystem_2_deleted', custom_context) link_tasks(graph, 'LinuxFileSystem_2_deleted', 'LinuxFileSystem_2_deleting', custom_context) link_tasks(graph, 'LinuxFileSystem_1_deleted', 'LinuxFileSystem_1_deleting', custom_context) link_tasks(graph, 'CBS4_uninstall', 'LinuxFileSystem_4_deleted', custom_context) link_tasks(graph, 'LinuxFileSystem_3_deleting', 'LinuxFileSystem_3_stopped', custom_context) link_tasks(graph, 'LinuxFileSystem_1_stopped', 'stop_LinuxFileSystem_1', custom_context) link_tasks(graph, 'LinuxFileSystem_4_deleting', 'LinuxFileSystem_4_stopped', custom_context) link_tasks(graph, 'LinuxFileSystem_1_deleting', 'LinuxFileSystem_1_stopped', custom_context) link_tasks(graph, 'LinuxFileSystem_2_stopped', 'stop_LinuxFileSystem_2', custom_context) link_tasks(graph, 'LinuxFileSystem_3_stopped', 'stop_LinuxFileSystem_3', custom_context) link_tasks(graph, 'LinuxFileSystem_4_deleted', 'LinuxFileSystem_4_deleting', custom_context) link_tasks(graph, 'CBS1_uninstall', 'LinuxFileSystem_1_deleted', custom_context) link_tasks(graph, 'LinuxFileSystem_4_stopped', 'stop_LinuxFileSystem_4', custom_context) link_tasks(graph, 'LinuxFileSystem_3_deleted', 'LinuxFileSystem_3_deleting', custom_context) link_tasks(graph, 'CBS3_uninstall', 'LinuxFileSystem_3_deleted', custom_context) link_tasks(graph, 'stop_LinuxFileSystem_1', 'LinuxFileSystem_1_stopping', custom_context) link_tasks(graph, 'stop_LinuxFileSystem_2', 'LinuxFileSystem_2_stopping', custom_context) link_tasks(graph, 'stop_LinuxFileSystem_3', 'LinuxFileSystem_3_stopping', custom_context) link_tasks(graph, 'stop_LinuxFileSystem_4', 'LinuxFileSystem_4_stopping', custom_context) def _get_scaling_group_name_from_node_id(ctx, node_id): scaling_groups=ctx.deployment.scaling_groups for group_name, scaling_group in ctx.deployment.scaling_groups.iteritems(): for member in scaling_group['members']: if member == node_id: ctx.logger.info("Node {} found in scaling group {}".format(node_id, group_name)) return group_name return None @workflow def a4c_scale(ctx, node_id, delta, scale_compute, **kwargs): delta = int(delta) scalable_entity_name = _get_scaling_group_name_from_node_id(ctx, node_id) scaling_group = ctx.deployment.scaling_groups.get(scalable_entity_name) if scalable_entity_name: curr_num_instances = scaling_group['properties']['current_instances'] planned_num_instances = curr_num_instances + delta scale_id = scalable_entity_name else: scaled_node = ctx.get_node(scalable_entity_name) if not scaled_node: raise ValueError("Node {0} doesn't exist".format(scalable_entity_name)) if not is_host_node(scaled_node): raise ValueError("Node {0} is not a host. This workflow can only scale hosts".format(scalable_entity_name)) if delta == 0: ctx.logger.info('delta parameter is 0, so no scaling will take place.') return curr_num_instances = scaled_node.number_of_instances planned_num_instances = curr_num_instances + delta scale_id = scaled_node.id if planned_num_instances < 1: raise ValueError('Provided delta: {0} is illegal. current number of' 'instances of node/group {1} is {2}' .format(delta, scalable_entity_name, curr_num_instances)) modification = ctx.deployment.start_modification({ scale_id: { 'instances': planned_num_instances } }) ctx.logger.info('Deployment modification started. [modification_id={0} : {1}]'.format(modification.id, dir(modification))) try: if delta > 0: ctx.logger.info('Scaling host/group {0} adding {1} instances'.format(scalable_entity_name, delta)) added_and_related = _get_all_nodes(modification.added) added = _get_all_modified_node_instances(added_and_related, 'added') graph = ctx.graph_mode() ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('scale', 'install'))) custom_context = CustomContext(ctx, added, added_and_related) install_host(ctx, graph, custom_context, node_id) try: graph.execute() except: ctx.logger.error('Scale failed. Uninstalling node/group {0}'.format(scalable_entity_name)) graph = ctx.internal.task_graph for task in graph.tasks_iter(): graph.remove_task(task) try: custom_context = CustomContext(ctx, added, added_and_related) uninstall_host(ctx, graph, custom_context, scalable_entity_name) graph.execute() except: ctx.logger.error('Node {0} uninstallation following scale failure has failed'.format(scalable_entity_name)) raise else: ctx.logger.info('Unscaling host/group {0} removing {1} instances'.format(scalable_entity_name, delta)) removed_and_related = _get_all_nodes(modification.removed) removed = _get_all_modified_node_instances(removed_and_related, 'removed') graph = ctx.graph_mode() ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('scale', 'uninstall'))) custom_context = CustomContext(ctx, removed, removed_and_related) uninstall_host(ctx, graph, custom_context, node_id) try: graph.execute() except: ctx.logger.error('Unscale failed.') raise except: ctx.logger.warn('Rolling back deployment modification. [modification_id={0}]'.format(modification.id)) try: modification.rollback() except: ctx.logger.warn('Deployment modification rollback failed. The ' 'deployment model is most likely in some corrupted' ' state.' '[modification_id={0}]'.format(modification.id)) raise raise else: try: modification.finish() except: ctx.logger.warn('Deployment modification finish failed. The ' 'deployment model is most likely in some corrupted' ' state.' '[modification_id={0}]'.format(modification.id)) raise @workflow def a4c_heal( ctx, node_instance_id, diagnose_value='Not provided', **kwargs): """Reinstalls the whole subgraph of the system topology The subgraph consists of all the nodes that are hosted in the failing node's compute and the compute itself. Additionally it unlinks and establishes appropriate relationships :param ctx: cloudify context :param node_id: failing node's id :param diagnose_value: diagnosed reason of failure """ ctx.logger.info("Starting 'heal' workflow on {0}, Diagnosis: {1}" .format(node_instance_id, diagnose_value)) failing_node = ctx.get_node_instance(node_instance_id) host_instance_id = failing_node._node_instance.host_id failing_node_host = ctx.get_node_instance(host_instance_id) node_id = failing_node_host.node_id subgraph_node_instances = failing_node_host.get_contained_subgraph() added_and_related = _get_all_nodes(ctx) try: graph = ctx.graph_mode() ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('heal', 'uninstall'))) custom_context = CustomContext(ctx, subgraph_node_instances, added_and_related) uninstall_host(ctx, graph, custom_context, node_id) graph.execute() except: ctx.logger.error('Uninstall while healing failed.') graph = ctx.internal.task_graph for task in graph.tasks_iter(): graph.remove_task(task) ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('heal', 'install'))) custom_context = CustomContext(ctx, subgraph_node_instances, added_and_related) install_host(ctx, graph, custom_context, node_id) graph.execute() #following code can be pasted in src/test/python/workflows/context.py for simulation #def _build_nodes(ctx): #types = [] #types.append('alien.cloudify.openstack.nodes.Volume') #types.append('alien.cloudify.openstack.nodes.DeletableVolume') #types.append('tosca.nodes.BlockStorage') #types.append('tosca.nodes.Root') #node_CBS3 = _build_node(ctx, 'CBS3', types, 1) #types = [] #types.append('alien.cloudify.openstack.nodes.Volume') #types.append('alien.cloudify.openstack.nodes.DeletableVolume') #types.append('tosca.nodes.BlockStorage') #types.append('tosca.nodes.Root') #node_CBS2 = _build_node(ctx, 'CBS2', types, 1) #types = [] #types.append('alien.nodes.LinuxFileSystem') #types.append('tosca.nodes.SoftwareComponent') #types.append('tosca.nodes.Root') #node_LinuxFileSystem_1 = _build_node(ctx, 'LinuxFileSystem_1', types, 1) #types = [] #types.append('alien.cloudify.openstack.nodes.Volume') #types.append('alien.cloudify.openstack.nodes.DeletableVolume') #types.append('tosca.nodes.BlockStorage') #types.append('tosca.nodes.Root') #node_CBS1 = _build_node(ctx, 'CBS1', types, 1) #types = [] #types.append('alien.nodes.LinuxFileSystem') #types.append('tosca.nodes.SoftwareComponent') #types.append('tosca.nodes.Root') #node_LinuxFileSystem_2 = _build_node(ctx, 'LinuxFileSystem_2', types, 1) #types = [] #types.append('alien.nodes.LinuxFileSystem') #types.append('tosca.nodes.SoftwareComponent') #types.append('tosca.nodes.Root') #node_LinuxFileSystem_3 = _build_node(ctx, 'LinuxFileSystem_3', types, 1) #types = [] #types.append('alien.nodes.LinuxFileSystem') #types.append('tosca.nodes.SoftwareComponent') #types.append('tosca.nodes.Root') #node_LinuxFileSystem_4 = _build_node(ctx, 'LinuxFileSystem_4', types, 1) #types = [] #types.append('alien.nodes.openstack.Compute') #types.append('tosca.nodes.Compute') #types.append('tosca.nodes.Root') #node_Compute = _build_node(ctx, 'Compute', types, 1) #types = [] #types.append('alien.nodes.openstack.PublicNetwork') #types.append('alien.nodes.PublicNetwork') #types.append('tosca.nodes.Network') #types.append('tosca.nodes.Root') #node_PublicNetwork = _build_node(ctx, 'PublicNetwork', types, 1) #types = [] #types.append('alien.cloudify.openstack.nodes.Volume') #types.append('alien.cloudify.openstack.nodes.DeletableVolume') #types.append('tosca.nodes.BlockStorage') #types.append('tosca.nodes.Root') #node_CBS4 = _build_node(ctx, 'CBS4', types, 1) #_add_relationship(node_CBS3, node_Compute) #_add_relationship(node_CBS2, node_Compute) #_add_relationship(node_LinuxFileSystem_1, node_Compute) #_add_relationship(node_LinuxFileSystem_1, node_CBS1) #_add_relationship(node_CBS1, node_Compute) #_add_relationship(node_LinuxFileSystem_2, node_Compute) #_add_relationship(node_LinuxFileSystem_2, node_CBS2) #_add_relationship(node_LinuxFileSystem_3, node_Compute) #_add_relationship(node_LinuxFileSystem_3, node_CBS3) #_add_relationship(node_LinuxFileSystem_4, node_Compute) #_add_relationship(node_LinuxFileSystem_4, node_CBS4) #_add_relationship(node_Compute, node_PublicNetwork) #_add_relationship(node_CBS4, node_Compute)

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2f79b101efb4f934a8b8d46d1eb6fc278ba4e47f

2,784

py

Python

bin/config.py

hchau630/nn-analysis

0fbe7ad7b2b4566b9f88d8f21413a6d405f96bdc

[ "MIT" ]

null

bin/config.py

hchau630/nn-analysis

0fbe7ad7b2b4566b9f88d8f21413a6d405f96bdc

[ "MIT" ]

null

bin/config.py

hchau630/nn-analysis

0fbe7ad7b2b4566b9f88d8f21413a6d405f96bdc

[ "MIT" ]

null

[ { "model_names": ["identity"], "layers": [None], "metrics": [ ["decode", 0], ["dimensionality", 0], ["fact", 0], ["generalize", 0], ["neural_fits", 0], ["rdm", 0], ["sparsity", 0], ["curve", 0], ["curve", 1], ["trajectory", 0], ], }, { "model_names": [ "moco_control", "moco_CD", "moco_CF", "moco_CDF", "barlow_control", "barlow_CD", "barlow_CF", "barlow_CDF", "barlow_P", "barlow_PF", ], "epochs": [49,50], "layers": [None], # All layers "metrics": [ ["decode", 0], ["dimensionality", 0], ["fact", 0], ["generalize", 0], ["neural_fits", 0], ["rdm", 0], ["sparsity", 0], ["curve", 0], ["curve", 1], ["trajectory", 0], ] }, { "model_names": [ "barlow_P", "barlow_P_projector", ], "epochs": [82,83], # epoch 82 "layers": [None], # All layers "metrics": [ # ["decode", 0], # ["dimensionality", 0], # ["fact", 0], # ["generalize", 0], # ["neural_fits", 0], # ["rdm", 0], # ["sparsity", 0], ["curve", 0], ["curve", 1], # ["trajectory", 0], ] }, { "model_names": [ "barlow_control", "barlow_control_projector", ], "epochs": [54,55], # epoch 82 "layers": [None], # All layers "metrics": [ # ["decode", 0], # ["dimensionality", 0], # ["fact", 0], # ["generalize", 0], # ["neural_fits", 0], # ["rdm", 0], # ["sparsity", 0], ["curve", 0], ["curve", 1], # ["trajectory", 0], ] }, # { # "model_names": [ # "moco_control", # "moco_CD", # "moco_CF", # "moco_CDF", # "barlow_control", # "barlow_CD", # "barlow_CF", # "barlow_CDF", # "barlow_P", # "barlow_PF", # ], # "epochs": [0,50], # "layers": [15,None], # 15, 16 layers # "metrics": [ # ["decode", 0], # ["dimensionality", 0], # ["fact", 0], # ["generalize", 0], # ["neural_fits", 0], # ["rdm", 0], # ["sparsity", 0], # ] # } ]

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null

0

1

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null

0

1

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8

c866ffaade6182b4d05dcb298a491e5a0a34d6f4

108,895

py

Python

boto3_type_annotations_with_docs/boto3_type_annotations/snowball/client.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

119

2018-12-01T18:20:57.000Z

2022-02-02T10:31:29.000Z

boto3_type_annotations_with_docs/boto3_type_annotations/snowball/client.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

15

2018-11-16T00:16:44.000Z

2021-11-13T03:44:18.000Z

boto3_type_annotations_with_docs/boto3_type_annotations/snowball/client.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

11

2019-05-06T05:26:51.000Z

2021-09-28T15:27:59.000Z

from typing import Optional from botocore.client import BaseClient from botocore.waiter import Waiter from typing import Union from typing import Dict from botocore.paginate import Paginator class Client(BaseClient): def can_paginate(self, operation_name: str = None): """ Check if an operation can be paginated. :type operation_name: string :param operation_name: The operation name. This is the same name as the method name on the client. For example, if the method name is ``create_foo``, and you\'d normally invoke the operation as ``client.create_foo(**kwargs)``, if the ``create_foo`` operation can be paginated, you can use the call ``client.get_paginator(\"create_foo\")``. :return: ``True`` if the operation can be paginated, ``False`` otherwise. """ pass def cancel_cluster(self, ClusterId: str) -> Dict: """ Cancels a cluster job. You can only cancel a cluster job while it's in the ``AwaitingQuorum`` status. You'll have at least an hour after creating a cluster job to cancel it. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/CancelCluster>`_ **Request Syntax** :: response = client.cancel_cluster( ClusterId='string' ) **Response Syntax** :: {} **Response Structure** - *(dict) --* :type ClusterId: string :param ClusterId: **[REQUIRED]** The 39-character ID for the cluster that you want to cancel, for example ``CID123e4567-e89b-12d3-a456-426655440000`` . :rtype: dict :returns: """ pass def cancel_job(self, JobId: str) -> Dict: """ Cancels the specified job. You can only cancel a job before its ``JobState`` value changes to ``PreparingAppliance`` . Requesting the ``ListJobs`` or ``DescribeJob`` action returns a job's ``JobState`` as part of the response element data returned. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/CancelJob>`_ **Request Syntax** :: response = client.cancel_job( JobId='string' ) **Response Syntax** :: {} **Response Structure** - *(dict) --* :type JobId: string :param JobId: **[REQUIRED]** The 39-character job ID for the job that you want to cancel, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . :rtype: dict :returns: """ pass def create_address(self, Address: Dict) -> Dict: """ Creates an address for a Snowball to be shipped to. In most regions, addresses are validated at the time of creation. The address you provide must be located within the serviceable area of your region. If the address is invalid or unsupported, then an exception is thrown. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/CreateAddress>`_ **Request Syntax** :: response = client.create_address( Address={ 'AddressId': 'string', 'Name': 'string', 'Company': 'string', 'Street1': 'string', 'Street2': 'string', 'Street3': 'string', 'City': 'string', 'StateOrProvince': 'string', 'PrefectureOrDistrict': 'string', 'Landmark': 'string', 'Country': 'string', 'PostalCode': 'string', 'PhoneNumber': 'string', 'IsRestricted': True|False } ) **Response Syntax** :: { 'AddressId': 'string' } **Response Structure** - *(dict) --* - **AddressId** *(string) --* The automatically generated ID for a specific address. You'll use this ID when you create a job to specify which address you want the Snowball for that job shipped to. :type Address: dict :param Address: **[REQUIRED]** The address that you want the Snowball shipped to. - **AddressId** *(string) --* The unique ID for an address. - **Name** *(string) --* The name of a person to receive a Snowball at an address. - **Company** *(string) --* The name of the company to receive a Snowball at an address. - **Street1** *(string) --* The first line in a street address that a Snowball is to be delivered to. - **Street2** *(string) --* The second line in a street address that a Snowball is to be delivered to. - **Street3** *(string) --* The third line in a street address that a Snowball is to be delivered to. - **City** *(string) --* The city in an address that a Snowball is to be delivered to. - **StateOrProvince** *(string) --* The state or province in an address that a Snowball is to be delivered to. - **PrefectureOrDistrict** *(string) --* This field is no longer used and the value is ignored. - **Landmark** *(string) --* This field is no longer used and the value is ignored. - **Country** *(string) --* The country in an address that a Snowball is to be delivered to. - **PostalCode** *(string) --* The postal code in an address that a Snowball is to be delivered to. - **PhoneNumber** *(string) --* The phone number associated with an address that a Snowball is to be delivered to. - **IsRestricted** *(boolean) --* If the address you are creating is a primary address, then set this option to true. This field is not supported in most regions. :rtype: dict :returns: """ pass def create_cluster(self, JobType: str, Resources: Dict, AddressId: str, RoleARN: str, ShippingOption: str, Description: str = None, KmsKeyARN: str = None, SnowballType: str = None, Notification: Dict = None, ForwardingAddressId: str = None) -> Dict: """ Creates an empty cluster. Each cluster supports five nodes. You use the CreateJob action separately to create the jobs for each of these nodes. The cluster does not ship until these five node jobs have been created. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/CreateCluster>`_ **Request Syntax** :: response = client.create_cluster( JobType='IMPORT'|'EXPORT'|'LOCAL_USE', Resources={ 'S3Resources': [ { 'BucketArn': 'string', 'KeyRange': { 'BeginMarker': 'string', 'EndMarker': 'string' } }, ], 'LambdaResources': [ { 'LambdaArn': 'string', 'EventTriggers': [ { 'EventResourceARN': 'string' }, ] }, ], 'Ec2AmiResources': [ { 'AmiId': 'string', 'SnowballAmiId': 'string' }, ] }, Description='string', AddressId='string', KmsKeyARN='string', RoleARN='string', SnowballType='STANDARD'|'EDGE'|'EDGE_C'|'EDGE_CG', ShippingOption='SECOND_DAY'|'NEXT_DAY'|'EXPRESS'|'STANDARD', Notification={ 'SnsTopicARN': 'string', 'JobStatesToNotify': [ 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', ], 'NotifyAll': True|False }, ForwardingAddressId='string' ) **Response Syntax** :: { 'ClusterId': 'string' } **Response Structure** - *(dict) --* - **ClusterId** *(string) --* The automatically generated ID for a cluster. :type JobType: string :param JobType: **[REQUIRED]** The type of job for this cluster. Currently, the only job type supported for clusters is ``LOCAL_USE`` . :type Resources: dict :param Resources: **[REQUIRED]** The resources associated with the cluster job. These resources include Amazon S3 buckets and optional AWS Lambda functions written in the Python language. - **S3Resources** *(list) --* An array of ``S3Resource`` objects. - *(dict) --* Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. For export jobs, this object can have an optional ``KeyRange`` value. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BucketArn** *(string) --* The Amazon Resource Name (ARN) of an Amazon S3 bucket. - **KeyRange** *(dict) --* For export jobs, you can provide an optional ``KeyRange`` within a specific Amazon S3 bucket. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BeginMarker** *(string) --* The key that starts an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **EndMarker** *(string) --* The key that ends an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **LambdaResources** *(list) --* The Python-language Lambda functions for this job. - *(dict) --* Identifies - **LambdaArn** *(string) --* An Amazon Resource Name (ARN) that represents an AWS Lambda function to be triggered by PUT object actions on the associated local Amazon S3 resource. - **EventTriggers** *(list) --* The array of ARNs for S3Resource objects to trigger the LambdaResource objects associated with this job. - *(dict) --* The container for the EventTriggerDefinition$EventResourceARN . - **EventResourceARN** *(string) --* The Amazon Resource Name (ARN) for any local Amazon S3 resource that is an AWS Lambda function\'s event trigger associated with this job. - **Ec2AmiResources** *(list) --* The Amazon Machine Images (AMIs) associated with this job. - *(dict) --* A JSON-formatted object that contains the IDs for an Amazon Machine Image (AMI), including the Amazon EC2 AMI ID and the Snowball Edge AMI ID. Each AMI has these two IDs to simplify identifying the AMI in both the AWS Cloud and on the device. - **AmiId** *(string) --* **[REQUIRED]** The ID of the AMI in Amazon EC2. - **SnowballAmiId** *(string) --* The ID of the AMI on the supported device. :type Description: string :param Description: An optional description of this specific cluster, for example ``Environmental Data Cluster-01`` . :type AddressId: string :param AddressId: **[REQUIRED]** The ID for the address that you want the cluster shipped to. :type KmsKeyARN: string :param KmsKeyARN: The ``KmsKeyARN`` value that you want to associate with this cluster. ``KmsKeyARN`` values are created by using the `CreateKey <http://docs.aws.amazon.com/kms/latest/APIReference/API_CreateKey.html>`__ API action in AWS Key Management Service (AWS KMS). :type RoleARN: string :param RoleARN: **[REQUIRED]** The ``RoleARN`` that you want to associate with this cluster. ``RoleArn`` values are created by using the `CreateRole <http://docs.aws.amazon.com/IAM/latest/APIReference/API_CreateRole.html>`__ API action in AWS Identity and Access Management (IAM). :type SnowballType: string :param SnowballType: The type of AWS Snowball device to use for this cluster. The only supported device types for cluster jobs are ``EDGE`` , ``EDGE_C`` , and ``EDGE_CG`` . :type ShippingOption: string :param ShippingOption: **[REQUIRED]** The shipping speed for each node in this cluster. This speed doesn\'t dictate how soon you\'ll get each Snowball Edge device, rather it represents how quickly each device moves to its destination while in transit. Regional shipping speeds are as follows: * In Australia, you have access to express shipping. Typically, devices shipped express are delivered in about a day. * In the European Union (EU), you have access to express shipping. Typically, Snowball Edges shipped express are delivered in about a day. In addition, most countries in the EU have access to standard shipping, which typically takes less than a week, one way. * In India, devices are delivered in one to seven days. * In the US, you have access to one-day shipping and two-day shipping. :type Notification: dict :param Notification: The Amazon Simple Notification Service (Amazon SNS) notification settings for this cluster. - **SnsTopicARN** *(string) --* The new SNS ``TopicArn`` that you want to associate with this job. You can create Amazon Resource Names (ARNs) for topics by using the `CreateTopic <http://docs.aws.amazon.com/sns/latest/api/API_CreateTopic.html>`__ Amazon SNS API action. You can subscribe email addresses to an Amazon SNS topic through the AWS Management Console, or by using the `Subscribe <http://docs.aws.amazon.com/sns/latest/api/API_Subscribe.html>`__ AWS Simple Notification Service (SNS) API action. - **JobStatesToNotify** *(list) --* The list of job states that will trigger a notification for this job. - *(string) --* - **NotifyAll** *(boolean) --* Any change in job state will trigger a notification for this job. :type ForwardingAddressId: string :param ForwardingAddressId: The forwarding address ID for a cluster. This field is not supported in most regions. :rtype: dict :returns: """ pass def create_job(self, JobType: str = None, Resources: Dict = None, Description: str = None, AddressId: str = None, KmsKeyARN: str = None, RoleARN: str = None, SnowballCapacityPreference: str = None, ShippingOption: str = None, Notification: Dict = None, ClusterId: str = None, SnowballType: str = None, ForwardingAddressId: str = None) -> Dict: """ Creates a job to import or export data between Amazon S3 and your on-premises data center. Your AWS account must have the right trust policies and permissions in place to create a job for Snowball. If you're creating a job for a node in a cluster, you only need to provide the ``clusterId`` value; the other job attributes are inherited from the cluster. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/CreateJob>`_ **Request Syntax** :: response = client.create_job( JobType='IMPORT'|'EXPORT'|'LOCAL_USE', Resources={ 'S3Resources': [ { 'BucketArn': 'string', 'KeyRange': { 'BeginMarker': 'string', 'EndMarker': 'string' } }, ], 'LambdaResources': [ { 'LambdaArn': 'string', 'EventTriggers': [ { 'EventResourceARN': 'string' }, ] }, ], 'Ec2AmiResources': [ { 'AmiId': 'string', 'SnowballAmiId': 'string' }, ] }, Description='string', AddressId='string', KmsKeyARN='string', RoleARN='string', SnowballCapacityPreference='T50'|'T80'|'T100'|'T42'|'NoPreference', ShippingOption='SECOND_DAY'|'NEXT_DAY'|'EXPRESS'|'STANDARD', Notification={ 'SnsTopicARN': 'string', 'JobStatesToNotify': [ 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', ], 'NotifyAll': True|False }, ClusterId='string', SnowballType='STANDARD'|'EDGE'|'EDGE_C'|'EDGE_CG', ForwardingAddressId='string' ) **Response Syntax** :: { 'JobId': 'string' } **Response Structure** - *(dict) --* - **JobId** *(string) --* The automatically generated ID for a job, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . :type JobType: string :param JobType: Defines the type of job that you\'re creating. :type Resources: dict :param Resources: Defines the Amazon S3 buckets associated with this job. With ``IMPORT`` jobs, you specify the bucket or buckets that your transferred data will be imported into. With ``EXPORT`` jobs, you specify the bucket or buckets that your transferred data will be exported from. Optionally, you can also specify a ``KeyRange`` value. If you choose to export a range, you define the length of the range by providing either an inclusive ``BeginMarker`` value, an inclusive ``EndMarker`` value, or both. Ranges are UTF-8 binary sorted. - **S3Resources** *(list) --* An array of ``S3Resource`` objects. - *(dict) --* Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. For export jobs, this object can have an optional ``KeyRange`` value. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BucketArn** *(string) --* The Amazon Resource Name (ARN) of an Amazon S3 bucket. - **KeyRange** *(dict) --* For export jobs, you can provide an optional ``KeyRange`` within a specific Amazon S3 bucket. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BeginMarker** *(string) --* The key that starts an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **EndMarker** *(string) --* The key that ends an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **LambdaResources** *(list) --* The Python-language Lambda functions for this job. - *(dict) --* Identifies - **LambdaArn** *(string) --* An Amazon Resource Name (ARN) that represents an AWS Lambda function to be triggered by PUT object actions on the associated local Amazon S3 resource. - **EventTriggers** *(list) --* The array of ARNs for S3Resource objects to trigger the LambdaResource objects associated with this job. - *(dict) --* The container for the EventTriggerDefinition$EventResourceARN . - **EventResourceARN** *(string) --* The Amazon Resource Name (ARN) for any local Amazon S3 resource that is an AWS Lambda function\'s event trigger associated with this job. - **Ec2AmiResources** *(list) --* The Amazon Machine Images (AMIs) associated with this job. - *(dict) --* A JSON-formatted object that contains the IDs for an Amazon Machine Image (AMI), including the Amazon EC2 AMI ID and the Snowball Edge AMI ID. Each AMI has these two IDs to simplify identifying the AMI in both the AWS Cloud and on the device. - **AmiId** *(string) --* **[REQUIRED]** The ID of the AMI in Amazon EC2. - **SnowballAmiId** *(string) --* The ID of the AMI on the supported device. :type Description: string :param Description: Defines an optional description of this specific job, for example ``Important Photos 2016-08-11`` . :type AddressId: string :param AddressId: The ID for the address that you want the Snowball shipped to. :type KmsKeyARN: string :param KmsKeyARN: The ``KmsKeyARN`` that you want to associate with this job. ``KmsKeyARN`` s are created using the `CreateKey <http://docs.aws.amazon.com/kms/latest/APIReference/API_CreateKey.html>`__ AWS Key Management Service (KMS) API action. :type RoleARN: string :param RoleARN: The ``RoleARN`` that you want to associate with this job. ``RoleArn`` s are created using the `CreateRole <http://docs.aws.amazon.com/IAM/latest/APIReference/API_CreateRole.html>`__ AWS Identity and Access Management (IAM) API action. :type SnowballCapacityPreference: string :param SnowballCapacityPreference: If your job is being created in one of the US regions, you have the option of specifying what size Snowball you\'d like for this job. In all other regions, Snowballs come with 80 TB in storage capacity. :type ShippingOption: string :param ShippingOption: The shipping speed for this job. This speed doesn\'t dictate how soon you\'ll get the Snowball, rather it represents how quickly the Snowball moves to its destination while in transit. Regional shipping speeds are as follows: * In Australia, you have access to express shipping. Typically, Snowballs shipped express are delivered in about a day. * In the European Union (EU), you have access to express shipping. Typically, Snowballs shipped express are delivered in about a day. In addition, most countries in the EU have access to standard shipping, which typically takes less than a week, one way. * In India, Snowballs are delivered in one to seven days. * In the US, you have access to one-day shipping and two-day shipping. :type Notification: dict :param Notification: Defines the Amazon Simple Notification Service (Amazon SNS) notification settings for this job. - **SnsTopicARN** *(string) --* The new SNS ``TopicArn`` that you want to associate with this job. You can create Amazon Resource Names (ARNs) for topics by using the `CreateTopic <http://docs.aws.amazon.com/sns/latest/api/API_CreateTopic.html>`__ Amazon SNS API action. You can subscribe email addresses to an Amazon SNS topic through the AWS Management Console, or by using the `Subscribe <http://docs.aws.amazon.com/sns/latest/api/API_Subscribe.html>`__ AWS Simple Notification Service (SNS) API action. - **JobStatesToNotify** *(list) --* The list of job states that will trigger a notification for this job. - *(string) --* - **NotifyAll** *(boolean) --* Any change in job state will trigger a notification for this job. :type ClusterId: string :param ClusterId: The ID of a cluster. If you\'re creating a job for a node in a cluster, you need to provide only this ``clusterId`` value. The other job attributes are inherited from the cluster. :type SnowballType: string :param SnowballType: The type of AWS Snowball device to use for this job. The only supported device types for cluster jobs are ``EDGE`` , ``EDGE_C`` , and ``EDGE_CG`` . :type ForwardingAddressId: string :param ForwardingAddressId: The forwarding address ID for a job. This field is not supported in most regions. :rtype: dict :returns: """ pass def describe_address(self, AddressId: str) -> Dict: """ Takes an ``AddressId`` and returns specific details about that address in the form of an ``Address`` object. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/DescribeAddress>`_ **Request Syntax** :: response = client.describe_address( AddressId='string' ) **Response Syntax** :: { 'Address': { 'AddressId': 'string', 'Name': 'string', 'Company': 'string', 'Street1': 'string', 'Street2': 'string', 'Street3': 'string', 'City': 'string', 'StateOrProvince': 'string', 'PrefectureOrDistrict': 'string', 'Landmark': 'string', 'Country': 'string', 'PostalCode': 'string', 'PhoneNumber': 'string', 'IsRestricted': True|False } } **Response Structure** - *(dict) --* - **Address** *(dict) --* The address that you want the Snowball or Snowballs associated with a specific job to be shipped to. - **AddressId** *(string) --* The unique ID for an address. - **Name** *(string) --* The name of a person to receive a Snowball at an address. - **Company** *(string) --* The name of the company to receive a Snowball at an address. - **Street1** *(string) --* The first line in a street address that a Snowball is to be delivered to. - **Street2** *(string) --* The second line in a street address that a Snowball is to be delivered to. - **Street3** *(string) --* The third line in a street address that a Snowball is to be delivered to. - **City** *(string) --* The city in an address that a Snowball is to be delivered to. - **StateOrProvince** *(string) --* The state or province in an address that a Snowball is to be delivered to. - **PrefectureOrDistrict** *(string) --* This field is no longer used and the value is ignored. - **Landmark** *(string) --* This field is no longer used and the value is ignored. - **Country** *(string) --* The country in an address that a Snowball is to be delivered to. - **PostalCode** *(string) --* The postal code in an address that a Snowball is to be delivered to. - **PhoneNumber** *(string) --* The phone number associated with an address that a Snowball is to be delivered to. - **IsRestricted** *(boolean) --* If the address you are creating is a primary address, then set this option to true. This field is not supported in most regions. :type AddressId: string :param AddressId: **[REQUIRED]** The automatically generated ID for a specific address. :rtype: dict :returns: """ pass def describe_addresses(self, MaxResults: int = None, NextToken: str = None) -> Dict: """ Returns a specified number of ``ADDRESS`` objects. Calling this API in one of the US regions will return addresses from the list of all addresses associated with this account in all US regions. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/DescribeAddresses>`_ **Request Syntax** :: response = client.describe_addresses( MaxResults=123, NextToken='string' ) **Response Syntax** :: { 'Addresses': [ { 'AddressId': 'string', 'Name': 'string', 'Company': 'string', 'Street1': 'string', 'Street2': 'string', 'Street3': 'string', 'City': 'string', 'StateOrProvince': 'string', 'PrefectureOrDistrict': 'string', 'Landmark': 'string', 'Country': 'string', 'PostalCode': 'string', 'PhoneNumber': 'string', 'IsRestricted': True|False }, ], 'NextToken': 'string' } **Response Structure** - *(dict) --* - **Addresses** *(list) --* The Snowball shipping addresses that were created for this account. - *(dict) --* The address that you want the Snowball or Snowballs associated with a specific job to be shipped to. Addresses are validated at the time of creation. The address you provide must be located within the serviceable area of your region. Although no individual elements of the ``Address`` are required, if the address is invalid or unsupported, then an exception is thrown. - **AddressId** *(string) --* The unique ID for an address. - **Name** *(string) --* The name of a person to receive a Snowball at an address. - **Company** *(string) --* The name of the company to receive a Snowball at an address. - **Street1** *(string) --* The first line in a street address that a Snowball is to be delivered to. - **Street2** *(string) --* The second line in a street address that a Snowball is to be delivered to. - **Street3** *(string) --* The third line in a street address that a Snowball is to be delivered to. - **City** *(string) --* The city in an address that a Snowball is to be delivered to. - **StateOrProvince** *(string) --* The state or province in an address that a Snowball is to be delivered to. - **PrefectureOrDistrict** *(string) --* This field is no longer used and the value is ignored. - **Landmark** *(string) --* This field is no longer used and the value is ignored. - **Country** *(string) --* The country in an address that a Snowball is to be delivered to. - **PostalCode** *(string) --* The postal code in an address that a Snowball is to be delivered to. - **PhoneNumber** *(string) --* The phone number associated with an address that a Snowball is to be delivered to. - **IsRestricted** *(boolean) --* If the address you are creating is a primary address, then set this option to true. This field is not supported in most regions. - **NextToken** *(string) --* HTTP requests are stateless. If you use the automatically generated ``NextToken`` value in your next ``DescribeAddresses`` call, your list of returned addresses will start from this point in the array. :type MaxResults: integer :param MaxResults: The number of ``ADDRESS`` objects to return. :type NextToken: string :param NextToken: HTTP requests are stateless. To identify what object comes \"next\" in the list of ``ADDRESS`` objects, you have the option of specifying a value for ``NextToken`` as the starting point for your list of returned addresses. :rtype: dict :returns: """ pass def describe_cluster(self, ClusterId: str) -> Dict: """ Returns information about a specific cluster including shipping information, cluster status, and other important metadata. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/DescribeCluster>`_ **Request Syntax** :: response = client.describe_cluster( ClusterId='string' ) **Response Syntax** :: { 'ClusterMetadata': { 'ClusterId': 'string', 'Description': 'string', 'KmsKeyARN': 'string', 'RoleARN': 'string', 'ClusterState': 'AwaitingQuorum'|'Pending'|'InUse'|'Complete'|'Cancelled', 'JobType': 'IMPORT'|'EXPORT'|'LOCAL_USE', 'SnowballType': 'STANDARD'|'EDGE'|'EDGE_C'|'EDGE_CG', 'CreationDate': datetime(2015, 1, 1), 'Resources': { 'S3Resources': [ { 'BucketArn': 'string', 'KeyRange': { 'BeginMarker': 'string', 'EndMarker': 'string' } }, ], 'LambdaResources': [ { 'LambdaArn': 'string', 'EventTriggers': [ { 'EventResourceARN': 'string' }, ] }, ], 'Ec2AmiResources': [ { 'AmiId': 'string', 'SnowballAmiId': 'string' }, ] }, 'AddressId': 'string', 'ShippingOption': 'SECOND_DAY'|'NEXT_DAY'|'EXPRESS'|'STANDARD', 'Notification': { 'SnsTopicARN': 'string', 'JobStatesToNotify': [ 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', ], 'NotifyAll': True|False }, 'ForwardingAddressId': 'string' } } **Response Structure** - *(dict) --* - **ClusterMetadata** *(dict) --* Information about a specific cluster, including shipping information, cluster status, and other important metadata. - **ClusterId** *(string) --* The automatically generated ID for a cluster. - **Description** *(string) --* The optional description of the cluster. - **KmsKeyARN** *(string) --* The ``KmsKeyARN`` Amazon Resource Name (ARN) associated with this cluster. This ARN was created using the `CreateKey <http://docs.aws.amazon.com/kms/latest/APIReference/API_CreateKey.html>`__ API action in AWS Key Management Service (AWS KMS). - **RoleARN** *(string) --* The role ARN associated with this cluster. This ARN was created using the `CreateRole <http://docs.aws.amazon.com/IAM/latest/APIReference/API_CreateRole.html>`__ API action in AWS Identity and Access Management (IAM). - **ClusterState** *(string) --* The current status of the cluster. - **JobType** *(string) --* The type of job for this cluster. Currently, the only job type supported for clusters is ``LOCAL_USE`` . - **SnowballType** *(string) --* The type of AWS Snowball device to use for this cluster. The only supported device types for cluster jobs are ``EDGE`` , ``EDGE_C`` , and ``EDGE_CG`` . - **CreationDate** *(datetime) --* The creation date for this cluster. - **Resources** *(dict) --* The arrays of JobResource objects that can include updated S3Resource objects or LambdaResource objects. - **S3Resources** *(list) --* An array of ``S3Resource`` objects. - *(dict) --* Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. For export jobs, this object can have an optional ``KeyRange`` value. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BucketArn** *(string) --* The Amazon Resource Name (ARN) of an Amazon S3 bucket. - **KeyRange** *(dict) --* For export jobs, you can provide an optional ``KeyRange`` within a specific Amazon S3 bucket. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BeginMarker** *(string) --* The key that starts an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **EndMarker** *(string) --* The key that ends an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **LambdaResources** *(list) --* The Python-language Lambda functions for this job. - *(dict) --* Identifies - **LambdaArn** *(string) --* An Amazon Resource Name (ARN) that represents an AWS Lambda function to be triggered by PUT object actions on the associated local Amazon S3 resource. - **EventTriggers** *(list) --* The array of ARNs for S3Resource objects to trigger the LambdaResource objects associated with this job. - *(dict) --* The container for the EventTriggerDefinition$EventResourceARN . - **EventResourceARN** *(string) --* The Amazon Resource Name (ARN) for any local Amazon S3 resource that is an AWS Lambda function's event trigger associated with this job. - **Ec2AmiResources** *(list) --* The Amazon Machine Images (AMIs) associated with this job. - *(dict) --* A JSON-formatted object that contains the IDs for an Amazon Machine Image (AMI), including the Amazon EC2 AMI ID and the Snowball Edge AMI ID. Each AMI has these two IDs to simplify identifying the AMI in both the AWS Cloud and on the device. - **AmiId** *(string) --* The ID of the AMI in Amazon EC2. - **SnowballAmiId** *(string) --* The ID of the AMI on the supported device. - **AddressId** *(string) --* The automatically generated ID for a specific address. - **ShippingOption** *(string) --* The shipping speed for each node in this cluster. This speed doesn't dictate how soon you'll get each device, rather it represents how quickly each device moves to its destination while in transit. Regional shipping speeds are as follows: * In Australia, you have access to express shipping. Typically, devices shipped express are delivered in about a day. * In the European Union (EU), you have access to express shipping. Typically, devices shipped express are delivered in about a day. In addition, most countries in the EU have access to standard shipping, which typically takes less than a week, one way. * In India, devices are delivered in one to seven days. * In the US, you have access to one-day shipping and two-day shipping. - **Notification** *(dict) --* The Amazon Simple Notification Service (Amazon SNS) notification settings for this cluster. - **SnsTopicARN** *(string) --* The new SNS ``TopicArn`` that you want to associate with this job. You can create Amazon Resource Names (ARNs) for topics by using the `CreateTopic <http://docs.aws.amazon.com/sns/latest/api/API_CreateTopic.html>`__ Amazon SNS API action. You can subscribe email addresses to an Amazon SNS topic through the AWS Management Console, or by using the `Subscribe <http://docs.aws.amazon.com/sns/latest/api/API_Subscribe.html>`__ AWS Simple Notification Service (SNS) API action. - **JobStatesToNotify** *(list) --* The list of job states that will trigger a notification for this job. - *(string) --* - **NotifyAll** *(boolean) --* Any change in job state will trigger a notification for this job. - **ForwardingAddressId** *(string) --* The ID of the address that you want a cluster shipped to, after it will be shipped to its primary address. This field is not supported in most regions. :type ClusterId: string :param ClusterId: **[REQUIRED]** The automatically generated ID for a cluster. :rtype: dict :returns: """ pass def describe_job(self, JobId: str) -> Dict: """ Returns information about a specific job including shipping information, job status, and other important metadata. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/DescribeJob>`_ **Request Syntax** :: response = client.describe_job( JobId='string' ) **Response Syntax** :: { 'JobMetadata': { 'JobId': 'string', 'JobState': 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', 'JobType': 'IMPORT'|'EXPORT'|'LOCAL_USE', 'SnowballType': 'STANDARD'|'EDGE'|'EDGE_C'|'EDGE_CG', 'CreationDate': datetime(2015, 1, 1), 'Resources': { 'S3Resources': [ { 'BucketArn': 'string', 'KeyRange': { 'BeginMarker': 'string', 'EndMarker': 'string' } }, ], 'LambdaResources': [ { 'LambdaArn': 'string', 'EventTriggers': [ { 'EventResourceARN': 'string' }, ] }, ], 'Ec2AmiResources': [ { 'AmiId': 'string', 'SnowballAmiId': 'string' }, ] }, 'Description': 'string', 'KmsKeyARN': 'string', 'RoleARN': 'string', 'AddressId': 'string', 'ShippingDetails': { 'ShippingOption': 'SECOND_DAY'|'NEXT_DAY'|'EXPRESS'|'STANDARD', 'InboundShipment': { 'Status': 'string', 'TrackingNumber': 'string' }, 'OutboundShipment': { 'Status': 'string', 'TrackingNumber': 'string' } }, 'SnowballCapacityPreference': 'T50'|'T80'|'T100'|'T42'|'NoPreference', 'Notification': { 'SnsTopicARN': 'string', 'JobStatesToNotify': [ 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', ], 'NotifyAll': True|False }, 'DataTransferProgress': { 'BytesTransferred': 123, 'ObjectsTransferred': 123, 'TotalBytes': 123, 'TotalObjects': 123 }, 'JobLogInfo': { 'JobCompletionReportURI': 'string', 'JobSuccessLogURI': 'string', 'JobFailureLogURI': 'string' }, 'ClusterId': 'string', 'ForwardingAddressId': 'string' }, 'SubJobMetadata': [ { 'JobId': 'string', 'JobState': 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', 'JobType': 'IMPORT'|'EXPORT'|'LOCAL_USE', 'SnowballType': 'STANDARD'|'EDGE'|'EDGE_C'|'EDGE_CG', 'CreationDate': datetime(2015, 1, 1), 'Resources': { 'S3Resources': [ { 'BucketArn': 'string', 'KeyRange': { 'BeginMarker': 'string', 'EndMarker': 'string' } }, ], 'LambdaResources': [ { 'LambdaArn': 'string', 'EventTriggers': [ { 'EventResourceARN': 'string' }, ] }, ], 'Ec2AmiResources': [ { 'AmiId': 'string', 'SnowballAmiId': 'string' }, ] }, 'Description': 'string', 'KmsKeyARN': 'string', 'RoleARN': 'string', 'AddressId': 'string', 'ShippingDetails': { 'ShippingOption': 'SECOND_DAY'|'NEXT_DAY'|'EXPRESS'|'STANDARD', 'InboundShipment': { 'Status': 'string', 'TrackingNumber': 'string' }, 'OutboundShipment': { 'Status': 'string', 'TrackingNumber': 'string' } }, 'SnowballCapacityPreference': 'T50'|'T80'|'T100'|'T42'|'NoPreference', 'Notification': { 'SnsTopicARN': 'string', 'JobStatesToNotify': [ 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', ], 'NotifyAll': True|False }, 'DataTransferProgress': { 'BytesTransferred': 123, 'ObjectsTransferred': 123, 'TotalBytes': 123, 'TotalObjects': 123 }, 'JobLogInfo': { 'JobCompletionReportURI': 'string', 'JobSuccessLogURI': 'string', 'JobFailureLogURI': 'string' }, 'ClusterId': 'string', 'ForwardingAddressId': 'string' }, ] } **Response Structure** - *(dict) --* - **JobMetadata** *(dict) --* Information about a specific job, including shipping information, job status, and other important metadata. - **JobId** *(string) --* The automatically generated ID for a job, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . - **JobState** *(string) --* The current status of the jobs. - **JobType** *(string) --* The type of job. - **SnowballType** *(string) --* The type of device used with this job. - **CreationDate** *(datetime) --* The creation date for this job. - **Resources** *(dict) --* An array of ``S3Resource`` objects. Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. - **S3Resources** *(list) --* An array of ``S3Resource`` objects. - *(dict) --* Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. For export jobs, this object can have an optional ``KeyRange`` value. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BucketArn** *(string) --* The Amazon Resource Name (ARN) of an Amazon S3 bucket. - **KeyRange** *(dict) --* For export jobs, you can provide an optional ``KeyRange`` within a specific Amazon S3 bucket. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BeginMarker** *(string) --* The key that starts an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **EndMarker** *(string) --* The key that ends an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **LambdaResources** *(list) --* The Python-language Lambda functions for this job. - *(dict) --* Identifies - **LambdaArn** *(string) --* An Amazon Resource Name (ARN) that represents an AWS Lambda function to be triggered by PUT object actions on the associated local Amazon S3 resource. - **EventTriggers** *(list) --* The array of ARNs for S3Resource objects to trigger the LambdaResource objects associated with this job. - *(dict) --* The container for the EventTriggerDefinition$EventResourceARN . - **EventResourceARN** *(string) --* The Amazon Resource Name (ARN) for any local Amazon S3 resource that is an AWS Lambda function's event trigger associated with this job. - **Ec2AmiResources** *(list) --* The Amazon Machine Images (AMIs) associated with this job. - *(dict) --* A JSON-formatted object that contains the IDs for an Amazon Machine Image (AMI), including the Amazon EC2 AMI ID and the Snowball Edge AMI ID. Each AMI has these two IDs to simplify identifying the AMI in both the AWS Cloud and on the device. - **AmiId** *(string) --* The ID of the AMI in Amazon EC2. - **SnowballAmiId** *(string) --* The ID of the AMI on the supported device. - **Description** *(string) --* The description of the job, provided at job creation. - **KmsKeyARN** *(string) --* The Amazon Resource Name (ARN) for the AWS Key Management Service (AWS KMS) key associated with this job. This ARN was created using the `CreateKey <http://docs.aws.amazon.com/kms/latest/APIReference/API_CreateKey.html>`__ API action in AWS KMS. - **RoleARN** *(string) --* The role ARN associated with this job. This ARN was created using the `CreateRole <http://docs.aws.amazon.com/IAM/latest/APIReference/API_CreateRole.html>`__ API action in AWS Identity and Access Management (IAM). - **AddressId** *(string) --* The ID for the address that you want the Snowball shipped to. - **ShippingDetails** *(dict) --* A job's shipping information, including inbound and outbound tracking numbers and shipping speed options. - **ShippingOption** *(string) --* The shipping speed for a particular job. This speed doesn't dictate how soon you'll get the Snowball from the job's creation date. This speed represents how quickly it moves to its destination while in transit. Regional shipping speeds are as follows: * In Australia, you have access to express shipping. Typically, Snowballs shipped express are delivered in about a day. * In the European Union (EU), you have access to express shipping. Typically, Snowballs shipped express are delivered in about a day. In addition, most countries in the EU have access to standard shipping, which typically takes less than a week, one way. * In India, Snowballs are delivered in one to seven days. * In the United States of America (US), you have access to one-day shipping and two-day shipping. - **InboundShipment** *(dict) --* The ``Status`` and ``TrackingNumber`` values for a Snowball being returned to AWS for a particular job. - **Status** *(string) --* Status information for a shipment. - **TrackingNumber** *(string) --* The tracking number for this job. Using this tracking number with your region's carrier's website, you can track a Snowball as the carrier transports it. For India, the carrier is Amazon Logistics. For all other regions, UPS is the carrier. - **OutboundShipment** *(dict) --* The ``Status`` and ``TrackingNumber`` values for a Snowball being delivered to the address that you specified for a particular job. - **Status** *(string) --* Status information for a shipment. - **TrackingNumber** *(string) --* The tracking number for this job. Using this tracking number with your region's carrier's website, you can track a Snowball as the carrier transports it. For India, the carrier is Amazon Logistics. For all other regions, UPS is the carrier. - **SnowballCapacityPreference** *(string) --* The Snowball capacity preference for this job, specified at job creation. In US regions, you can choose between 50 TB and 80 TB Snowballs. All other regions use 80 TB capacity Snowballs. - **Notification** *(dict) --* The Amazon Simple Notification Service (Amazon SNS) notification settings associated with a specific job. The ``Notification`` object is returned as a part of the response syntax of the ``DescribeJob`` action in the ``JobMetadata`` data type. - **SnsTopicARN** *(string) --* The new SNS ``TopicArn`` that you want to associate with this job. You can create Amazon Resource Names (ARNs) for topics by using the `CreateTopic <http://docs.aws.amazon.com/sns/latest/api/API_CreateTopic.html>`__ Amazon SNS API action. You can subscribe email addresses to an Amazon SNS topic through the AWS Management Console, or by using the `Subscribe <http://docs.aws.amazon.com/sns/latest/api/API_Subscribe.html>`__ AWS Simple Notification Service (SNS) API action. - **JobStatesToNotify** *(list) --* The list of job states that will trigger a notification for this job. - *(string) --* - **NotifyAll** *(boolean) --* Any change in job state will trigger a notification for this job. - **DataTransferProgress** *(dict) --* A value that defines the real-time status of a Snowball's data transfer while the device is at AWS. This data is only available while a job has a ``JobState`` value of ``InProgress`` , for both import and export jobs. - **BytesTransferred** *(integer) --* The number of bytes transferred between a Snowball and Amazon S3. - **ObjectsTransferred** *(integer) --* The number of objects transferred between a Snowball and Amazon S3. - **TotalBytes** *(integer) --* The total bytes of data for a transfer between a Snowball and Amazon S3. This value is set to 0 (zero) until all the keys that will be transferred have been listed. - **TotalObjects** *(integer) --* The total number of objects for a transfer between a Snowball and Amazon S3. This value is set to 0 (zero) until all the keys that will be transferred have been listed. - **JobLogInfo** *(dict) --* Links to Amazon S3 presigned URLs for the job report and logs. For import jobs, the PDF job report becomes available at the end of the import process. For export jobs, your job report typically becomes available while the Snowball for your job part is being delivered to you. - **JobCompletionReportURI** *(string) --* A link to an Amazon S3 presigned URL where the job completion report is located. - **JobSuccessLogURI** *(string) --* A link to an Amazon S3 presigned URL where the job success log is located. - **JobFailureLogURI** *(string) --* A link to an Amazon S3 presigned URL where the job failure log is located. - **ClusterId** *(string) --* The 39-character ID for the cluster, for example ``CID123e4567-e89b-12d3-a456-426655440000`` . - **ForwardingAddressId** *(string) --* The ID of the address that you want a job shipped to, after it will be shipped to its primary address. This field is not supported in most regions. - **SubJobMetadata** *(list) --* Information about a specific job part (in the case of an export job), including shipping information, job status, and other important metadata. - *(dict) --* Contains information about a specific job including shipping information, job status, and other important metadata. This information is returned as a part of the response syntax of the ``DescribeJob`` action. - **JobId** *(string) --* The automatically generated ID for a job, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . - **JobState** *(string) --* The current status of the jobs. - **JobType** *(string) --* The type of job. - **SnowballType** *(string) --* The type of device used with this job. - **CreationDate** *(datetime) --* The creation date for this job. - **Resources** *(dict) --* An array of ``S3Resource`` objects. Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. - **S3Resources** *(list) --* An array of ``S3Resource`` objects. - *(dict) --* Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. For export jobs, this object can have an optional ``KeyRange`` value. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BucketArn** *(string) --* The Amazon Resource Name (ARN) of an Amazon S3 bucket. - **KeyRange** *(dict) --* For export jobs, you can provide an optional ``KeyRange`` within a specific Amazon S3 bucket. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BeginMarker** *(string) --* The key that starts an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **EndMarker** *(string) --* The key that ends an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **LambdaResources** *(list) --* The Python-language Lambda functions for this job. - *(dict) --* Identifies - **LambdaArn** *(string) --* An Amazon Resource Name (ARN) that represents an AWS Lambda function to be triggered by PUT object actions on the associated local Amazon S3 resource. - **EventTriggers** *(list) --* The array of ARNs for S3Resource objects to trigger the LambdaResource objects associated with this job. - *(dict) --* The container for the EventTriggerDefinition$EventResourceARN . - **EventResourceARN** *(string) --* The Amazon Resource Name (ARN) for any local Amazon S3 resource that is an AWS Lambda function's event trigger associated with this job. - **Ec2AmiResources** *(list) --* The Amazon Machine Images (AMIs) associated with this job. - *(dict) --* A JSON-formatted object that contains the IDs for an Amazon Machine Image (AMI), including the Amazon EC2 AMI ID and the Snowball Edge AMI ID. Each AMI has these two IDs to simplify identifying the AMI in both the AWS Cloud and on the device. - **AmiId** *(string) --* The ID of the AMI in Amazon EC2. - **SnowballAmiId** *(string) --* The ID of the AMI on the supported device. - **Description** *(string) --* The description of the job, provided at job creation. - **KmsKeyARN** *(string) --* The Amazon Resource Name (ARN) for the AWS Key Management Service (AWS KMS) key associated with this job. This ARN was created using the `CreateKey <http://docs.aws.amazon.com/kms/latest/APIReference/API_CreateKey.html>`__ API action in AWS KMS. - **RoleARN** *(string) --* The role ARN associated with this job. This ARN was created using the `CreateRole <http://docs.aws.amazon.com/IAM/latest/APIReference/API_CreateRole.html>`__ API action in AWS Identity and Access Management (IAM). - **AddressId** *(string) --* The ID for the address that you want the Snowball shipped to. - **ShippingDetails** *(dict) --* A job's shipping information, including inbound and outbound tracking numbers and shipping speed options. - **ShippingOption** *(string) --* The shipping speed for a particular job. This speed doesn't dictate how soon you'll get the Snowball from the job's creation date. This speed represents how quickly it moves to its destination while in transit. Regional shipping speeds are as follows: * In Australia, you have access to express shipping. Typically, Snowballs shipped express are delivered in about a day. * In the European Union (EU), you have access to express shipping. Typically, Snowballs shipped express are delivered in about a day. In addition, most countries in the EU have access to standard shipping, which typically takes less than a week, one way. * In India, Snowballs are delivered in one to seven days. * In the United States of America (US), you have access to one-day shipping and two-day shipping. - **InboundShipment** *(dict) --* The ``Status`` and ``TrackingNumber`` values for a Snowball being returned to AWS for a particular job. - **Status** *(string) --* Status information for a shipment. - **TrackingNumber** *(string) --* The tracking number for this job. Using this tracking number with your region's carrier's website, you can track a Snowball as the carrier transports it. For India, the carrier is Amazon Logistics. For all other regions, UPS is the carrier. - **OutboundShipment** *(dict) --* The ``Status`` and ``TrackingNumber`` values for a Snowball being delivered to the address that you specified for a particular job. - **Status** *(string) --* Status information for a shipment. - **TrackingNumber** *(string) --* The tracking number for this job. Using this tracking number with your region's carrier's website, you can track a Snowball as the carrier transports it. For India, the carrier is Amazon Logistics. For all other regions, UPS is the carrier. - **SnowballCapacityPreference** *(string) --* The Snowball capacity preference for this job, specified at job creation. In US regions, you can choose between 50 TB and 80 TB Snowballs. All other regions use 80 TB capacity Snowballs. - **Notification** *(dict) --* The Amazon Simple Notification Service (Amazon SNS) notification settings associated with a specific job. The ``Notification`` object is returned as a part of the response syntax of the ``DescribeJob`` action in the ``JobMetadata`` data type. - **SnsTopicARN** *(string) --* The new SNS ``TopicArn`` that you want to associate with this job. You can create Amazon Resource Names (ARNs) for topics by using the `CreateTopic <http://docs.aws.amazon.com/sns/latest/api/API_CreateTopic.html>`__ Amazon SNS API action. You can subscribe email addresses to an Amazon SNS topic through the AWS Management Console, or by using the `Subscribe <http://docs.aws.amazon.com/sns/latest/api/API_Subscribe.html>`__ AWS Simple Notification Service (SNS) API action. - **JobStatesToNotify** *(list) --* The list of job states that will trigger a notification for this job. - *(string) --* - **NotifyAll** *(boolean) --* Any change in job state will trigger a notification for this job. - **DataTransferProgress** *(dict) --* A value that defines the real-time status of a Snowball's data transfer while the device is at AWS. This data is only available while a job has a ``JobState`` value of ``InProgress`` , for both import and export jobs. - **BytesTransferred** *(integer) --* The number of bytes transferred between a Snowball and Amazon S3. - **ObjectsTransferred** *(integer) --* The number of objects transferred between a Snowball and Amazon S3. - **TotalBytes** *(integer) --* The total bytes of data for a transfer between a Snowball and Amazon S3. This value is set to 0 (zero) until all the keys that will be transferred have been listed. - **TotalObjects** *(integer) --* The total number of objects for a transfer between a Snowball and Amazon S3. This value is set to 0 (zero) until all the keys that will be transferred have been listed. - **JobLogInfo** *(dict) --* Links to Amazon S3 presigned URLs for the job report and logs. For import jobs, the PDF job report becomes available at the end of the import process. For export jobs, your job report typically becomes available while the Snowball for your job part is being delivered to you. - **JobCompletionReportURI** *(string) --* A link to an Amazon S3 presigned URL where the job completion report is located. - **JobSuccessLogURI** *(string) --* A link to an Amazon S3 presigned URL where the job success log is located. - **JobFailureLogURI** *(string) --* A link to an Amazon S3 presigned URL where the job failure log is located. - **ClusterId** *(string) --* The 39-character ID for the cluster, for example ``CID123e4567-e89b-12d3-a456-426655440000`` . - **ForwardingAddressId** *(string) --* The ID of the address that you want a job shipped to, after it will be shipped to its primary address. This field is not supported in most regions. :type JobId: string :param JobId: **[REQUIRED]** The automatically generated ID for a job, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . :rtype: dict :returns: """ pass def generate_presigned_url(self, ClientMethod: str = None, Params: Dict = None, ExpiresIn: int = None, HttpMethod: str = None): """ Generate a presigned url given a client, its method, and arguments :type ClientMethod: string :param ClientMethod: The client method to presign for :type Params: dict :param Params: The parameters normally passed to ``ClientMethod``. :type ExpiresIn: int :param ExpiresIn: The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds) :type HttpMethod: string :param HttpMethod: The http method to use on the generated url. By default, the http method is whatever is used in the method\'s model. :returns: The presigned url """ pass def get_job_manifest(self, JobId: str) -> Dict: """ Returns a link to an Amazon S3 presigned URL for the manifest file associated with the specified ``JobId`` value. You can access the manifest file for up to 60 minutes after this request has been made. To access the manifest file after 60 minutes have passed, you'll have to make another call to the ``GetJobManifest`` action. The manifest is an encrypted file that you can download after your job enters the ``WithCustomer`` status. The manifest is decrypted by using the ``UnlockCode`` code value, when you pass both values to the Snowball through the Snowball client when the client is started for the first time. As a best practice, we recommend that you don't save a copy of an ``UnlockCode`` value in the same location as the manifest file for that job. Saving these separately helps prevent unauthorized parties from gaining access to the Snowball associated with that job. The credentials of a given job, including its manifest file and unlock code, expire 90 days after the job is created. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/GetJobManifest>`_ **Request Syntax** :: response = client.get_job_manifest( JobId='string' ) **Response Syntax** :: { 'ManifestURI': 'string' } **Response Structure** - *(dict) --* - **ManifestURI** *(string) --* The Amazon S3 presigned URL for the manifest file associated with the specified ``JobId`` value. :type JobId: string :param JobId: **[REQUIRED]** The ID for a job that you want to get the manifest file for, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . :rtype: dict :returns: """ pass def get_job_unlock_code(self, JobId: str) -> Dict: """ Returns the ``UnlockCode`` code value for the specified job. A particular ``UnlockCode`` value can be accessed for up to 90 days after the associated job has been created. The ``UnlockCode`` value is a 29-character code with 25 alphanumeric characters and 4 hyphens. This code is used to decrypt the manifest file when it is passed along with the manifest to the Snowball through the Snowball client when the client is started for the first time. As a best practice, we recommend that you don't save a copy of the ``UnlockCode`` in the same location as the manifest file for that job. Saving these separately helps prevent unauthorized parties from gaining access to the Snowball associated with that job. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/GetJobUnlockCode>`_ **Request Syntax** :: response = client.get_job_unlock_code( JobId='string' ) **Response Syntax** :: { 'UnlockCode': 'string' } **Response Structure** - *(dict) --* - **UnlockCode** *(string) --* The ``UnlockCode`` value for the specified job. The ``UnlockCode`` value can be accessed for up to 90 days after the job has been created. :type JobId: string :param JobId: **[REQUIRED]** The ID for the job that you want to get the ``UnlockCode`` value for, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . :rtype: dict :returns: """ pass def get_paginator(self, operation_name: str = None) -> Paginator: """ Create a paginator for an operation. :type operation_name: string :param operation_name: The operation name. This is the same name as the method name on the client. For example, if the method name is ``create_foo``, and you\'d normally invoke the operation as ``client.create_foo(**kwargs)``, if the ``create_foo`` operation can be paginated, you can use the call ``client.get_paginator(\"create_foo\")``. :raise OperationNotPageableError: Raised if the operation is not pageable. You can use the ``client.can_paginate`` method to check if an operation is pageable. :rtype: L{botocore.paginate.Paginator} :return: A paginator object. """ pass def get_snowball_usage(self) -> Dict: """ Returns information about the Snowball service limit for your account, and also the number of Snowballs your account has in use. The default service limit for the number of Snowballs that you can have at one time is 1. If you want to increase your service limit, contact AWS Support. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/GetSnowballUsage>`_ **Request Syntax** :: response = client.get_snowball_usage() **Response Syntax** :: { 'SnowballLimit': 123, 'SnowballsInUse': 123 } **Response Structure** - *(dict) --* - **SnowballLimit** *(integer) --* The service limit for number of Snowballs this account can have at once. The default service limit is 1 (one). - **SnowballsInUse** *(integer) --* The number of Snowballs that this account is currently using. :rtype: dict :returns: """ pass def get_waiter(self, waiter_name: str = None) -> Waiter: """ Returns an object that can wait for some condition. :type waiter_name: str :param waiter_name: The name of the waiter to get. See the waiters section of the service docs for a list of available waiters. :returns: The specified waiter object. :rtype: botocore.waiter.Waiter """ pass def list_cluster_jobs(self, ClusterId: str, MaxResults: int = None, NextToken: str = None) -> Dict: """ Returns an array of ``JobListEntry`` objects of the specified length. Each ``JobListEntry`` object is for a job in the specified cluster and contains a job's state, a job's ID, and other information. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/ListClusterJobs>`_ **Request Syntax** :: response = client.list_cluster_jobs( ClusterId='string', MaxResults=123, NextToken='string' ) **Response Syntax** :: { 'JobListEntries': [ { 'JobId': 'string', 'JobState': 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', 'IsMaster': True|False, 'JobType': 'IMPORT'|'EXPORT'|'LOCAL_USE', 'SnowballType': 'STANDARD'|'EDGE'|'EDGE_C'|'EDGE_CG', 'CreationDate': datetime(2015, 1, 1), 'Description': 'string' }, ], 'NextToken': 'string' } **Response Structure** - *(dict) --* - **JobListEntries** *(list) --* Each ``JobListEntry`` object contains a job's state, a job's ID, and a value that indicates whether the job is a job part, in the case of export jobs. - *(dict) --* Each ``JobListEntry`` object contains a job's state, a job's ID, and a value that indicates whether the job is a job part, in the case of an export job. - **JobId** *(string) --* The automatically generated ID for a job, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . - **JobState** *(string) --* The current state of this job. - **IsMaster** *(boolean) --* A value that indicates that this job is a master job. A master job represents a successful request to create an export job. Master jobs aren't associated with any Snowballs. Instead, each master job will have at least one job part, and each job part is associated with a Snowball. It might take some time before the job parts associated with a particular master job are listed, because they are created after the master job is created. - **JobType** *(string) --* The type of job. - **SnowballType** *(string) --* The type of device used with this job. - **CreationDate** *(datetime) --* The creation date for this job. - **Description** *(string) --* The optional description of this specific job, for example ``Important Photos 2016-08-11`` . - **NextToken** *(string) --* HTTP requests are stateless. If you use the automatically generated ``NextToken`` value in your next ``ListClusterJobsResult`` call, your list of returned jobs will start from this point in the array. :type ClusterId: string :param ClusterId: **[REQUIRED]** The 39-character ID for the cluster that you want to list, for example ``CID123e4567-e89b-12d3-a456-426655440000`` . :type MaxResults: integer :param MaxResults: The number of ``JobListEntry`` objects to return. :type NextToken: string :param NextToken: HTTP requests are stateless. To identify what object comes \"next\" in the list of ``JobListEntry`` objects, you have the option of specifying ``NextToken`` as the starting point for your returned list. :rtype: dict :returns: """ pass def list_clusters(self, MaxResults: int = None, NextToken: str = None) -> Dict: """ Returns an array of ``ClusterListEntry`` objects of the specified length. Each ``ClusterListEntry`` object contains a cluster's state, a cluster's ID, and other important status information. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/ListClusters>`_ **Request Syntax** :: response = client.list_clusters( MaxResults=123, NextToken='string' ) **Response Syntax** :: { 'ClusterListEntries': [ { 'ClusterId': 'string', 'ClusterState': 'AwaitingQuorum'|'Pending'|'InUse'|'Complete'|'Cancelled', 'CreationDate': datetime(2015, 1, 1), 'Description': 'string' }, ], 'NextToken': 'string' } **Response Structure** - *(dict) --* - **ClusterListEntries** *(list) --* Each ``ClusterListEntry`` object contains a cluster's state, a cluster's ID, and other important status information. - *(dict) --* Contains a cluster's state, a cluster's ID, and other important information. - **ClusterId** *(string) --* The 39-character ID for the cluster that you want to list, for example ``CID123e4567-e89b-12d3-a456-426655440000`` . - **ClusterState** *(string) --* The current state of this cluster. For information about the state of a specific node, see JobListEntry$JobState . - **CreationDate** *(datetime) --* The creation date for this cluster. - **Description** *(string) --* Defines an optional description of the cluster, for example ``Environmental Data Cluster-01`` . - **NextToken** *(string) --* HTTP requests are stateless. If you use the automatically generated ``NextToken`` value in your next ``ClusterListEntry`` call, your list of returned clusters will start from this point in the array. :type MaxResults: integer :param MaxResults: The number of ``ClusterListEntry`` objects to return. :type NextToken: string :param NextToken: HTTP requests are stateless. To identify what object comes \"next\" in the list of ``ClusterListEntry`` objects, you have the option of specifying ``NextToken`` as the starting point for your returned list. :rtype: dict :returns: """ pass def list_compatible_images(self, MaxResults: int = None, NextToken: str = None) -> Dict: """ This action returns a list of the different Amazon EC2 Amazon Machine Images (AMIs) that are owned by your AWS account that would be supported for use on ``EDGE`` , ``EDGE_C`` , and ``EDGE_CG`` devices. For more information on compatible AMIs, see `Using Amazon EC2 Compute Instances <http://docs.aws.amazon.com/snowball/latest/developer-guide/using-ec2.html>`__ in the *AWS Snowball Developer Guide* . See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/ListCompatibleImages>`_ **Request Syntax** :: response = client.list_compatible_images( MaxResults=123, NextToken='string' ) **Response Syntax** :: { 'CompatibleImages': [ { 'AmiId': 'string', 'Name': 'string' }, ], 'NextToken': 'string' } **Response Structure** - *(dict) --* - **CompatibleImages** *(list) --* A JSON-formatted object that describes a compatible AMI. - *(dict) --* A JSON-formatted object that describes a compatible Amazon Machine Image (AMI). For more information on compatible AMIs, see `Using Amazon EC2 Compute Instances <http://docs.aws.amazon.com/snowball/latest/developer-guide/using-ec2.html>`__ in the *AWS Snowball Developer Guide* . - **AmiId** *(string) --* The unique identifier for an individual Snowball Edge AMI. - **Name** *(string) --* The optional name of a compatible image. - **NextToken** *(string) --* Because HTTP requests are stateless, this is the starting point for your next list of returned images. :type MaxResults: integer :param MaxResults: The maximum number of results for the list of compatible images. Currently, each supported device can store 10 AMIs. :type NextToken: string :param NextToken: HTTP requests are stateless. To identify what object comes \"next\" in the list of compatible images, you can specify a value for ``NextToken`` as the starting point for your list of returned images. :rtype: dict :returns: """ pass def list_jobs(self, MaxResults: int = None, NextToken: str = None) -> Dict: """ Returns an array of ``JobListEntry`` objects of the specified length. Each ``JobListEntry`` object contains a job's state, a job's ID, and a value that indicates whether the job is a job part, in the case of export jobs. Calling this API action in one of the US regions will return jobs from the list of all jobs associated with this account in all US regions. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/ListJobs>`_ **Request Syntax** :: response = client.list_jobs( MaxResults=123, NextToken='string' ) **Response Syntax** :: { 'JobListEntries': [ { 'JobId': 'string', 'JobState': 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', 'IsMaster': True|False, 'JobType': 'IMPORT'|'EXPORT'|'LOCAL_USE', 'SnowballType': 'STANDARD'|'EDGE'|'EDGE_C'|'EDGE_CG', 'CreationDate': datetime(2015, 1, 1), 'Description': 'string' }, ], 'NextToken': 'string' } **Response Structure** - *(dict) --* - **JobListEntries** *(list) --* Each ``JobListEntry`` object contains a job's state, a job's ID, and a value that indicates whether the job is a job part, in the case of export jobs. - *(dict) --* Each ``JobListEntry`` object contains a job's state, a job's ID, and a value that indicates whether the job is a job part, in the case of an export job. - **JobId** *(string) --* The automatically generated ID for a job, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . - **JobState** *(string) --* The current state of this job. - **IsMaster** *(boolean) --* A value that indicates that this job is a master job. A master job represents a successful request to create an export job. Master jobs aren't associated with any Snowballs. Instead, each master job will have at least one job part, and each job part is associated with a Snowball. It might take some time before the job parts associated with a particular master job are listed, because they are created after the master job is created. - **JobType** *(string) --* The type of job. - **SnowballType** *(string) --* The type of device used with this job. - **CreationDate** *(datetime) --* The creation date for this job. - **Description** *(string) --* The optional description of this specific job, for example ``Important Photos 2016-08-11`` . - **NextToken** *(string) --* HTTP requests are stateless. If you use this automatically generated ``NextToken`` value in your next ``ListJobs`` call, your returned ``JobListEntry`` objects will start from this point in the array. :type MaxResults: integer :param MaxResults: The number of ``JobListEntry`` objects to return. :type NextToken: string :param NextToken: HTTP requests are stateless. To identify what object comes \"next\" in the list of ``JobListEntry`` objects, you have the option of specifying ``NextToken`` as the starting point for your returned list. :rtype: dict :returns: """ pass def update_cluster(self, ClusterId: str, RoleARN: str = None, Description: str = None, Resources: Dict = None, AddressId: str = None, ShippingOption: str = None, Notification: Dict = None, ForwardingAddressId: str = None) -> Dict: """ While a cluster's ``ClusterState`` value is in the ``AwaitingQuorum`` state, you can update some of the information associated with a cluster. Once the cluster changes to a different job state, usually 60 minutes after the cluster being created, this action is no longer available. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/UpdateCluster>`_ **Request Syntax** :: response = client.update_cluster( ClusterId='string', RoleARN='string', Description='string', Resources={ 'S3Resources': [ { 'BucketArn': 'string', 'KeyRange': { 'BeginMarker': 'string', 'EndMarker': 'string' } }, ], 'LambdaResources': [ { 'LambdaArn': 'string', 'EventTriggers': [ { 'EventResourceARN': 'string' }, ] }, ], 'Ec2AmiResources': [ { 'AmiId': 'string', 'SnowballAmiId': 'string' }, ] }, AddressId='string', ShippingOption='SECOND_DAY'|'NEXT_DAY'|'EXPRESS'|'STANDARD', Notification={ 'SnsTopicARN': 'string', 'JobStatesToNotify': [ 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', ], 'NotifyAll': True|False }, ForwardingAddressId='string' ) **Response Syntax** :: {} **Response Structure** - *(dict) --* :type ClusterId: string :param ClusterId: **[REQUIRED]** The cluster ID of the cluster that you want to update, for example ``CID123e4567-e89b-12d3-a456-426655440000`` . :type RoleARN: string :param RoleARN: The new role Amazon Resource Name (ARN) that you want to associate with this cluster. To create a role ARN, use the `CreateRole <http://docs.aws.amazon.com/IAM/latest/APIReference/API_CreateRole.html>`__ API action in AWS Identity and Access Management (IAM). :type Description: string :param Description: The updated description of this cluster. :type Resources: dict :param Resources: The updated arrays of JobResource objects that can include updated S3Resource objects or LambdaResource objects. - **S3Resources** *(list) --* An array of ``S3Resource`` objects. - *(dict) --* Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. For export jobs, this object can have an optional ``KeyRange`` value. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BucketArn** *(string) --* The Amazon Resource Name (ARN) of an Amazon S3 bucket. - **KeyRange** *(dict) --* For export jobs, you can provide an optional ``KeyRange`` within a specific Amazon S3 bucket. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BeginMarker** *(string) --* The key that starts an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **EndMarker** *(string) --* The key that ends an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **LambdaResources** *(list) --* The Python-language Lambda functions for this job. - *(dict) --* Identifies - **LambdaArn** *(string) --* An Amazon Resource Name (ARN) that represents an AWS Lambda function to be triggered by PUT object actions on the associated local Amazon S3 resource. - **EventTriggers** *(list) --* The array of ARNs for S3Resource objects to trigger the LambdaResource objects associated with this job. - *(dict) --* The container for the EventTriggerDefinition$EventResourceARN . - **EventResourceARN** *(string) --* The Amazon Resource Name (ARN) for any local Amazon S3 resource that is an AWS Lambda function\'s event trigger associated with this job. - **Ec2AmiResources** *(list) --* The Amazon Machine Images (AMIs) associated with this job. - *(dict) --* A JSON-formatted object that contains the IDs for an Amazon Machine Image (AMI), including the Amazon EC2 AMI ID and the Snowball Edge AMI ID. Each AMI has these two IDs to simplify identifying the AMI in both the AWS Cloud and on the device. - **AmiId** *(string) --* **[REQUIRED]** The ID of the AMI in Amazon EC2. - **SnowballAmiId** *(string) --* The ID of the AMI on the supported device. :type AddressId: string :param AddressId: The ID of the updated Address object. :type ShippingOption: string :param ShippingOption: The updated shipping option value of this cluster\'s ShippingDetails object. :type Notification: dict :param Notification: The new or updated Notification object. - **SnsTopicARN** *(string) --* The new SNS ``TopicArn`` that you want to associate with this job. You can create Amazon Resource Names (ARNs) for topics by using the `CreateTopic <http://docs.aws.amazon.com/sns/latest/api/API_CreateTopic.html>`__ Amazon SNS API action. You can subscribe email addresses to an Amazon SNS topic through the AWS Management Console, or by using the `Subscribe <http://docs.aws.amazon.com/sns/latest/api/API_Subscribe.html>`__ AWS Simple Notification Service (SNS) API action. - **JobStatesToNotify** *(list) --* The list of job states that will trigger a notification for this job. - *(string) --* - **NotifyAll** *(boolean) --* Any change in job state will trigger a notification for this job. :type ForwardingAddressId: string :param ForwardingAddressId: The updated ID for the forwarding address for a cluster. This field is not supported in most regions. :rtype: dict :returns: """ pass def update_job(self, JobId: str, RoleARN: str = None, Notification: Dict = None, Resources: Dict = None, AddressId: str = None, ShippingOption: str = None, Description: str = None, SnowballCapacityPreference: str = None, ForwardingAddressId: str = None) -> Dict: """ While a job's ``JobState`` value is ``New`` , you can update some of the information associated with a job. Once the job changes to a different job state, usually within 60 minutes of the job being created, this action is no longer available. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/snowball-2016-06-30/UpdateJob>`_ **Request Syntax** :: response = client.update_job( JobId='string', RoleARN='string', Notification={ 'SnsTopicARN': 'string', 'JobStatesToNotify': [ 'New'|'PreparingAppliance'|'PreparingShipment'|'InTransitToCustomer'|'WithCustomer'|'InTransitToAWS'|'WithAWSSortingFacility'|'WithAWS'|'InProgress'|'Complete'|'Cancelled'|'Listing'|'Pending', ], 'NotifyAll': True|False }, Resources={ 'S3Resources': [ { 'BucketArn': 'string', 'KeyRange': { 'BeginMarker': 'string', 'EndMarker': 'string' } }, ], 'LambdaResources': [ { 'LambdaArn': 'string', 'EventTriggers': [ { 'EventResourceARN': 'string' }, ] }, ], 'Ec2AmiResources': [ { 'AmiId': 'string', 'SnowballAmiId': 'string' }, ] }, AddressId='string', ShippingOption='SECOND_DAY'|'NEXT_DAY'|'EXPRESS'|'STANDARD', Description='string', SnowballCapacityPreference='T50'|'T80'|'T100'|'T42'|'NoPreference', ForwardingAddressId='string' ) **Response Syntax** :: {} **Response Structure** - *(dict) --* :type JobId: string :param JobId: **[REQUIRED]** The job ID of the job that you want to update, for example ``JID123e4567-e89b-12d3-a456-426655440000`` . :type RoleARN: string :param RoleARN: The new role Amazon Resource Name (ARN) that you want to associate with this job. To create a role ARN, use the `CreateRole <http://docs.aws.amazon.com/IAM/latest/APIReference/API_CreateRole.html>`__ AWS Identity and Access Management (IAM) API action. :type Notification: dict :param Notification: The new or updated Notification object. - **SnsTopicARN** *(string) --* The new SNS ``TopicArn`` that you want to associate with this job. You can create Amazon Resource Names (ARNs) for topics by using the `CreateTopic <http://docs.aws.amazon.com/sns/latest/api/API_CreateTopic.html>`__ Amazon SNS API action. You can subscribe email addresses to an Amazon SNS topic through the AWS Management Console, or by using the `Subscribe <http://docs.aws.amazon.com/sns/latest/api/API_Subscribe.html>`__ AWS Simple Notification Service (SNS) API action. - **JobStatesToNotify** *(list) --* The list of job states that will trigger a notification for this job. - *(string) --* - **NotifyAll** *(boolean) --* Any change in job state will trigger a notification for this job. :type Resources: dict :param Resources: The updated ``JobResource`` object, or the updated JobResource object. - **S3Resources** *(list) --* An array of ``S3Resource`` objects. - *(dict) --* Each ``S3Resource`` object represents an Amazon S3 bucket that your transferred data will be exported from or imported into. For export jobs, this object can have an optional ``KeyRange`` value. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BucketArn** *(string) --* The Amazon Resource Name (ARN) of an Amazon S3 bucket. - **KeyRange** *(dict) --* For export jobs, you can provide an optional ``KeyRange`` within a specific Amazon S3 bucket. The length of the range is defined at job creation, and has either an inclusive ``BeginMarker`` , an inclusive ``EndMarker`` , or both. Ranges are UTF-8 binary sorted. - **BeginMarker** *(string) --* The key that starts an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **EndMarker** *(string) --* The key that ends an optional key range for an export job. Ranges are inclusive and UTF-8 binary sorted. - **LambdaResources** *(list) --* The Python-language Lambda functions for this job. - *(dict) --* Identifies - **LambdaArn** *(string) --* An Amazon Resource Name (ARN) that represents an AWS Lambda function to be triggered by PUT object actions on the associated local Amazon S3 resource. - **EventTriggers** *(list) --* The array of ARNs for S3Resource objects to trigger the LambdaResource objects associated with this job. - *(dict) --* The container for the EventTriggerDefinition$EventResourceARN . - **EventResourceARN** *(string) --* The Amazon Resource Name (ARN) for any local Amazon S3 resource that is an AWS Lambda function\'s event trigger associated with this job. - **Ec2AmiResources** *(list) --* The Amazon Machine Images (AMIs) associated with this job. - *(dict) --* A JSON-formatted object that contains the IDs for an Amazon Machine Image (AMI), including the Amazon EC2 AMI ID and the Snowball Edge AMI ID. Each AMI has these two IDs to simplify identifying the AMI in both the AWS Cloud and on the device. - **AmiId** *(string) --* **[REQUIRED]** The ID of the AMI in Amazon EC2. - **SnowballAmiId** *(string) --* The ID of the AMI on the supported device. :type AddressId: string :param AddressId: The ID of the updated Address object. :type ShippingOption: string :param ShippingOption: The updated shipping option value of this job\'s ShippingDetails object. :type Description: string :param Description: The updated description of this job\'s JobMetadata object. :type SnowballCapacityPreference: string :param SnowballCapacityPreference: The updated ``SnowballCapacityPreference`` of this job\'s JobMetadata object. The 50 TB Snowballs are only available in the US regions. :type ForwardingAddressId: string :param ForwardingAddressId: The updated ID for the forwarding address for a job. This field is not supported in most regions. :rtype: dict :returns: """ pass

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c0a8480c5d61186f757e996dd241ce5a604e2c99

3,005

py

Python

convrnn/custom_transforms.py

esizikova/anytime-prediction

5c2672d6454a91873ca2b40796a29c6f5db5ec99

[ "MIT" ]

3

2021-06-08T10:43:42.000Z

2022-02-17T02:20:47.000Z

convrnn/custom_transforms.py

esizikova/anytime-prediction

5c2672d6454a91873ca2b40796a29c6f5db5ec99

[ "MIT" ]

null

convrnn/custom_transforms.py

esizikova/anytime-prediction

5c2672d6454a91873ca2b40796a29c6f5db5ec99

[ "MIT" ]

2

2021-06-16T17:15:42.000Z

2021-08-28T06:04:41.000Z

import numpy as np from torchvision import transforms import torch def all_random_blur(image, kernel=7, std=0.9): all_devs = np.arange(0.0, std+0.1, 0.1) std = np.random.choice(all_devs) if std != 0.0: image = np.transpose(image, (2,0,1)) image = transforms.functional.gaussian_blur(torch.Tensor(image), kernel, sigma=std) image = np.transpose(image.numpy(), (1,2,0)) return image def add_gaussian_blur(image, kernel=7, std=0.9): if std != 0.0: image = np.transpose(image, (2,0,1)) image = transforms.functional.gaussian_blur(torch.Tensor(image), kernel, sigma=std) image = np.transpose(image.numpy(), (1,2,0)) return image def all_random_noise(image, std=0.04, mean=0, contrast=0.1): std = np.random.choice(np.arange(0.0, std+0.01, 0.01)) noise = np.array([]) n = image.shape[0] * image.shape[1] sd2 = std * 2 while len(noise) < n: # more samples than we require m = 2 * (n - len(noise)) new = np.random.randn(m) * std # remove out-of-range samples new = new[new >= -sd2] new = new[new <= sd2] # append to noise tensor noise = np.concatenate((noise, new)) # pick first n samples and reshape to 2D noise = np.reshape(noise[:n], (image.shape[0], image.shape[1])) # stack noise and translate by mean to produce std + newnoise = np.stack([noise, noise, noise], axis=2) + mean # shift image hist to mean = 0.5 image = image + (0.5 - np.mean(image)) # self.contrast = 1.0 / (5. * max(1.0, tensor.max() + sd2, 1.0 + (0 - tensor.min() - sd2))) # print(self.contrast) image = np.transpose(image, (2,0,1)) image = transforms.functional.adjust_contrast(torch.Tensor(image), contrast) image = np.transpose(image.numpy(), (1,2,0)) return image + newnoise + mean def add_gaussian_noise(image, std=0.04, mean=0, contrast=0.1): noise = np.array([]) n = image.shape[0] * image.shape[1] sd2 = std * 2 while len(noise) < n: # more samples than we require m = 2 * (n - len(noise)) new = np.random.randn(m) * std # remove out-of-range samples new = new[new >= -sd2] new = new[new <= sd2] # append to noise tensor noise = np.concatenate((noise, new)) # pick first n samples and reshape to 2D noise = np.reshape(noise[:n], (image.shape[0], image.shape[1])) # stack noise and translate by mean to produce std + newnoise = np.stack([noise, noise, noise], axis=2) + mean # shift image hist to mean = 0.5 image = image + (0.5 - np.mean(image)) # self.contrast = 1.0 / (5. * max(1.0, tensor.max() + sd2, 1.0 + (0 - tensor.min() - sd2))) # print(self.contrast) image = np.transpose(image, (2,0,1)) image = transforms.functional.adjust_contrast(torch.Tensor(image), contrast) image = np.transpose(image.numpy(), (1,2,0)) return image + newnoise + mean

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null

0

7

c0d400eecd04e5e28ca22b1f0dd5a5af3a252172

245

py

Python

tests/parser/aggregates.ordering.1.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/aggregates.ordering.1.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/aggregates.ordering.1.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ ok:-q(Y,X), not #count{V: a(V)}<1, not r(Y), #count{V:b(V)}>=1. a(1) | a(2). b(1) | b(2). r(2). q(1,2). """ output = """ ok:-q(Y,X), not #count{V: a(V)}<1, not r(Y), #count{V:b(V)}>=1. a(1) | a(2). b(1) | b(2). r(2). q(1,2). """

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0.080808

0.10101

0.888889

0

0.08867

0.171429

245

18

64

13.611111

0.399015

0

0.857143

0

0.142857

0.873469

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null

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c0dfea0021342c4249edde07f00bd5c73596d555

44,747

py

Python

timeseria/transformations.py

sarusso/Timeseria

fdf9990ab68e20f75a64f090a2c43979266dcba9

[ "Apache-2.0" ]

8

2021-01-02T17:43:13.000Z

2022-02-22T09:07:22.000Z

timeseria/transformations.py

sarusso/Timeseria

fdf9990ab68e20f75a64f090a2c43979266dcba9

[ "Apache-2.0" ]

20

2020-07-15T11:29:41.000Z

2022-03-29T22:51:52.000Z

timeseria/transformations.py

sarusso/Timeseria

fdf9990ab68e20f75a64f090a2c43979266dcba9

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """Series transformations as slotting and resampling.""" from .time import dt_from_s, s_from_dt from .datastructures import DataTimeSlot, DataTimeSlotSeries, TimePoint, DataTimePointSeries, DataTimePoint from .utilities import compute_data_loss from .operations import avg from .units import TimeUnit # Setup logging import logging logger = logging.getLogger(__name__) #========================== # Base Transformation #========================== class Transformation(object): """Base transformation class.""" @classmethod def __str__(cls): return '{} transformation'.format(cls.__name__.replace('Operator','')) def process(self, *args, **kwargs): raise NotImplementedError('This transformation is not implemented.') #========================== # Resampler Transformation #========================== class Resampler(Transformation): """Resampler transformation.""" def __init__(self, unit, interpolation_method='linear'): if isinstance(unit, TimeUnit): self.time_unit = unit else: self.time_unit = TimeUnit(unit) if self.time_unit.is_calendar(): raise ValueError('Sorry, calendar time units are not supported by the Resampler (got "{}"). Use the Slotter instead.'.format(self.time_unit)) self.interpolation_method=interpolation_method def _compute_resampled_point(self, data_time_point_series, unit, start_t, end_t, validity, timezone, fill_with, force_data_loss, fill_gaps, series_indexes, series_resolution, first_last): # Compute data_loss point_data_loss = compute_data_loss(data_time_point_series, from_t = start_t, to_t = end_t, series_resolution = series_resolution, validity = validity, first_last = first_last) # TODO: unroll the following before the compute resampled point call interval_timeseries = DataTimePointSeries() prev_point = None next_point = None for data_time_point in data_time_point_series: # TODO: better check the math here. We use >= and <= because, since we are basically comparing intervals, # the "right" excluded rule is excluded by comparing right with left and then left with right. if (data_time_point.t+(validity/2)) <= start_t: prev_point = data_time_point continue if (data_time_point.t-(validity/2)) >= end_t: next_point = data_time_point continue interval_timeseries.append(data_time_point) # If we have to fully reconstruct data if not interval_timeseries: #point_data_loss == 1: # Reconstruct (fill_gaps) slot_data = {} for key in data_time_point_series[0].data.keys(): # Special case with only one datapoint (i.e. beginning or end) if len(data_time_point_series) == 1: slot_data[key] = data_time_point_series[0].data[key] else: prev_point = data_time_point_series[0] next_point = data_time_point_series[1] if self.interpolation_method == 'linear': diff = next_point.data[key] - prev_point.data[key] delta_t = next_point.t - prev_point.t ratio = diff / delta_t point_t = start_t + (unit.duration_s() /2) slot_data[key] = prev_point.data[key] + ((point_t - prev_point.t) * ratio) elif self.interpolation_method == 'uniform': slot_data[key] = (prev_point.data[key] + next_point.data[key]) /2 else: raise Exception('Unknown interpolation method "{}"'.format(self.interpolation_method)) else: # Keys shortcut keys = data_time_point_series.data_keys() logger.debug('Slot timeseries: %s', interval_timeseries) # Compute sample averages data avgs = avg(interval_timeseries, prev_point=prev_point, next_point=next_point) # Do we have a 100% and a fill_with? if fill_with is not None and point_data_loss == 1: slot_data = {key:fill_with for key in keys} else: if isinstance(avgs, dict): slot_data = {key:avgs[key] for key in keys} else: slot_data = {keys[0]: avgs} # Do we have a force data_loss? #TODO: do not compute data_loss if fill_with not present and force_data_loss if force_data_loss is not None: point_data_loss = force_data_loss # # Create the DataTimePoint if we have data_loss # if not point_data_loss: # data_time_point = None # else: # pass # Create the data time point data_time_point = DataTimePoint(t = (start_t+((end_t-start_t)/2)), tz = timezone, data = slot_data, data_loss = point_data_loss) # Now handle indexes for index in series_indexes: if interval_timeseries: if index == 'data_loss': continue index_sum = 0 index_count = 0 for item in interval_timeseries: # Get index value try: index_value = getattr(item, index) except: new_point_index_value = None else: if index_value is not None: index_count += 1 index_sum += index_value # Compute the new index value (if there were indexes not None) if index_count > 0: new_point_index_value = index_sum/index_count else: new_point_index_value = None else: new_point_index_value = None # Set the index. Handle special case for data_reconstructed if index == 'data_reconstructed': setattr(data_time_point, '_data_reconstructed', new_point_index_value) else: setattr(data_time_point, index, new_point_index_value) # Return return data_time_point def process(self, data_time_point_series, from_t=None, to_t=None, from_dt=None, to_dt=None, validity=None, force_close_last=True, include_extremes=False, fill_with=None, force_data_loss=None, fill_gaps=True, force=False): """Start the resampling process. If start and/or end are not set, they are set automatically based on first and last points of the series""" if not isinstance(data_time_point_series, DataTimePointSeries): raise TypeError('Can process only DataTimePointSeries, got "{}"'.format(data_time_point_series.__class__.__name__)) if not data_time_point_series: raise ValueError('Cannot process empty data_time_point_series') if include_extremes: if from_t is not None or to_t is not None: raise ValueError('Setting "include_extremes" is not compatible with giving a from_t or a to_t') from_rounding_method = 'floor' to_rounding_method = 'ceil' else: from_rounding_method = 'ceil' to_rounding_method = 'floor' # Move fromt_dt and to_dt to epoch to simplify the following if from_dt is not None: from_t = s_from_dt(from_dt) if to_dt is not None: to_t = s_from_dt(to_dt) # Also force close if we have explicitly set an end force_close_last = True # Set "from" if not set, otherwise check for consistency # TODO: move to steaming if from_t is None: from_t = data_time_point_series[0].t from_dt = dt_from_s(from_t, tz=data_time_point_series.tz) # Is the point already rounded to the time unit or do we have to round it ourselves? if not from_dt == self.time_unit.round_dt(from_dt): from_dt = self.time_unit.round_dt(from_dt, how=from_rounding_method) from_t = s_from_dt(from_dt) else: from_dt = dt_from_s(from_t, tz=data_time_point_series.tz) if from_dt != self.time_unit.round_dt(from_dt): raise ValueError('Sorry, provided from_t is not consistent with the self.time_unit of "{}" (Got "{}")'.format(self.time_unit, from_t)) # Set "to" if not set, otherwise check for consistency # TODO: move to streaming if to_t is None: to_t = data_time_point_series[-1].t to_dt = dt_from_s(to_t, tz=data_time_point_series.tz) # Is the point already rounded to the time unit or do we have to round it ourselves? if not to_dt == self.time_unit.round_dt(to_dt): to_dt = self.time_unit.round_dt(to_dt, how=to_rounding_method) to_t = s_from_dt(to_dt) else: to_dt = dt_from_s(to_t, tz=data_time_point_series.tz) if to_dt != self.time_unit.round_dt(to_dt): raise ValueError('Sorry, provided to_t is not consistent with the self.time_unit of "{}" (Got "{}")'.format(self.time_unit, to_t)) # Move the start back of half and the end forward of # half unit as well, as the point will be in the center from_t = from_t - (self.time_unit.duration_s() /2) from_dt = dt_from_s(from_t, data_time_point_series.tz) to_t = to_t + (self.time_unit.duration_s() /2) to_dt = dt_from_s(to_t, data_time_point_series.tz) # Automatically detect validity if not set if validity is None: validity = data_time_point_series.autodetected_sampling_interval logger.info('Using auto-detected sampling interval: %ss', validity) # Check if not upsamplimg (with some tolearance): if not force: if validity > (self.time_unit.duration_s() * 1.10): raise ValueError('Upsampling not supported yet (resampler unit: {}; detected time series sampling interval: {})'.format(self.time_unit, validity)) logger.debug('Started slotter from "%s" (%s) to "%s" (%s)', from_dt, from_t, to_dt, to_t) if from_dt >= to_dt: raise ValueError('Sorry, from is >= to! (from_t={}, to_t={})'.format(from_t, to_t)) # Set some support vars slot_start_t = None slot_end_t = None prev_data_time_point = None working_serie = DataTimePointSeries() process_ended = False resampled_data_time_point_series = DataTimePointSeries() # Set timezone timezone = data_time_point_series.tz logger.debug('Using timezone "%s"', timezone) # Counters count = 0 first = True # Indexes series_indexes = data_time_point_series.indexes series_resolution = data_time_point_series.resolution # Now go trough all the data in the time series for data_time_point in data_time_point_series: logger.debug('Processing %s', data_time_point) # Increase counter count += 1 # Set start_dt if not already done TODO: implement it correctly #if not from_dt: # from_dt = self.time_unit.timeInterval.round_dt(data_time_point.dt) if rounded else data_time_point.dt # Pretend there was a slot before if we are at the beginning. TOOD: improve me. if slot_end_t is None: slot_end_t = from_t # First, check if we have some points to discard at the beginning if data_time_point.t < from_t: # If we are here it means we are going data belonging to a previous slot # (probably just spare data loaded to have access to the prev_datapoint) prev_data_time_point = data_time_point continue # Similar concept for the end # TODO: what if we are in streaming mode? add if to_t is not None? if data_time_point.t >= to_t: if process_ended: continue # The following procedure works in general for slots at the beginning and in the middle. # The approach is to detect if the current slot is "outdated" and spin a new one if so. if data_time_point.t > slot_end_t: # If the current slot is outdated: # 1) Add this last point to the data_time_point_series: working_serie.append(data_time_point) #2) keep spinning new slots until the current data point falls in one of them. # NOTE: Read the following "while" more as an "if" which can also lead to spin multiple # slot if there are empty slots between the one being closed and the data_time_point.dt. # TODO: leave or remove the above if for code readability? while slot_end_t < data_time_point.t: logger.debug('Checking for end {} with point {}'.format(slot_end_t, data_time_point.t)) # If we are in the pre-first slot, just silently spin a new slot: if slot_start_t is not None: # Append last point. Can be appended to multiple slots, this is normal since # the empty slots in the middle will have only a far prev and a far next. # can also be appended several times if working_serie is not reset (looping in the while) if data_time_point not in working_serie: working_serie.append(data_time_point) logger.debug('This slot (start={}, end={}) is closed, now aggregating it..'.format(slot_start_t, slot_end_t)) logger.debug('working_serie len: %s', len(working_serie)) logger.debug('working_serie first point dt: %s', working_serie[0].dt) logger.debug('working_serie last point dt: %s', working_serie[-1].dt) # Compute slot... dataTimePoint = self._compute_resampled_point(working_serie, unit = self.time_unit, start_t = slot_start_t, end_t = slot_end_t, validity = validity, timezone = timezone, fill_with = fill_with, force_data_loss = force_data_loss, fill_gaps = fill_gaps, series_indexes = series_indexes, series_resolution = series_resolution, first_last = first) # Set first to false if first: first = False # .. and append results if dataTimePoint: logger.debug('Computed datapoint: %s',dataTimePoint ) resampled_data_time_point_series.append(dataTimePoint) # Create a new slot. This is where all the "conventional" time logic kicks-in, and where the time zone is required. slot_start_t = slot_end_t slot_end_t = s_from_dt(dt_from_s(slot_start_t, tz=timezone) + self.time_unit) # Create a new working_serie as part of the "create a new slot" procedure working_serie = DataTimePointSeries() # Append the previous prev_data_time_point to the new DataTimeSeries if prev_data_time_point: working_serie.append(prev_data_time_point) logger.debug('Spinned a new slot (start={}, end={})'.format(slot_start_t, slot_end_t)) # If last slot mark process as completed (and aggregate last slot if necessary) if data_time_point.dt >= to_dt: # Edge case where we would otherwise miss the last slot if data_time_point.dt == to_dt: # Compute slot... dataTimePoint = self._compute_resampled_point(working_serie, unit = self.time_unit, start_t = slot_start_t, end_t = slot_end_t, validity = validity, timezone = timezone, fill_with = fill_with, force_data_loss = force_data_loss, fill_gaps = fill_gaps, series_indexes = series_indexes, series_resolution = series_resolution, first_last = True) # .. and append results if dataTimePoint: resampled_data_time_point_series.append(dataTimePoint) process_ended = True # Append this point to the working serie working_serie.append(data_time_point) # ..and save as previous point prev_data_time_point = data_time_point # Last slots if force_close_last: # 1) Close the last slot and aggreagte it. You should never do it unless you knwo what you are doing if working_serie: logger.debug('This resampled point (start={}, end={}) is done, now computing it..'.format(slot_start_t, slot_end_t)) # Compute slot... dataTimePoint = self._compute_resampled_point(working_serie, unit = self.time_unit, start_t = slot_start_t, end_t = slot_end_t, validity = validity, timezone = timezone, fill_with = fill_with, force_data_loss = force_data_loss, fill_gaps = fill_gaps, series_indexes = series_indexes, series_resolution = series_resolution, first_last = True) # .. and append results if dataTimePoint: resampled_data_time_point_series.append(dataTimePoint) # 2) Handle missing slots until the requested end (end_dt) # TODO: Implement it. Sure? logger.info('Resampled %s DataTimePoints in %s DataTimePoints', count, len(resampled_data_time_point_series)) return resampled_data_time_point_series #========================== # Slotter Transformation #========================== class Slotter(Transformation): """Slotter transformation.""" def __init__(self, unit, default_operation=avg, extra_operations=None, interpolation_method='linear'): if isinstance(unit, TimeUnit): self.time_unit = unit else: self.time_unit = TimeUnit(unit) self.default_operation=default_operation self.extra_operations=extra_operations self.interpolation_method=interpolation_method def _compute_slot(self, data_time_point_series, unit, start_t, end_t, validity, timezone, fill_with, force_data_loss, fill_gaps, series_indexes, series_resolution, first_last): # Compute data_loss slot_data_loss = compute_data_loss(data_time_point_series, from_t = start_t, to_t = end_t, series_resolution = series_resolution, validity = validity, first_last = first_last) # Initialize slot data slot_data = {} # TODO: unroll the following before the compute slot call slot_timeseries = DataTimePointSeries() prev_point = None next_point = None for data_time_point in data_time_point_series: if (data_time_point.t+(validity/2)) < start_t: prev_point = data_time_point continue if (data_time_point.t-(validity/2)) >= end_t: next_point = data_time_point continue slot_timeseries.append(data_time_point) # If we have to fully reconstruct data # TODO: we have a huge conceputal problem here if checkong on the slot_data_loss: # if data_loss is 1 but due to point data loses (maybe even reconstructed) # and not entirely missing points, we should actually compute as if not a full data loss. if not slot_timeseries: # slot_data_loss == 1: # Reconstruct (fill gaps) for key in data_time_point_series[0].data.keys(): # Set data as None, will be interpolated afterwards slot_data['{}_{}'.format(key, self.default_operation.__name__)] = None # Handle also extra ops if self.extra_operations: for extra_operation in self.extra_operations: slot_data['{}_{}'.format(key, extra_operation.__name__)] = None else: # Keys shortcut keys = data_time_point_series.data_keys() # Compute the default operation (in some cases it might not be defined, hence the "if") if self.default_operation: default_operation_data = self.default_operation(slot_timeseries, prev_point=prev_point, next_point=next_point) # Do we have a 100% and a fill_with? if fill_with is not None and slot_data_loss == 1: for key in keys: slot_data['{}_{}'.format(key, self.default_operation.__name__)] = fill_with else: #if isinstance(default_operation_data, dict): # slot_data = {key:default_operation_data[key] for key in keys} #else: # slot_data = {keys[0]: default_operation_data} if isinstance(default_operation_data, dict): for key in keys: slot_data['{}_{}'.format(key, self.default_operation.__name__)] = default_operation_data[key] else: slot_data['{}_{}'.format(keys[0], self.default_operation.__name__)] = default_operation_data # Handle extra operations if self.extra_operations: for extra_operation in self.extra_operations: extra_operation_data = extra_operation(slot_timeseries, prev_point=prev_point, next_point=next_point) if isinstance(extra_operation_data, dict): for result_key in extra_operation_data: slot_data['{}_{}'.format(result_key, extra_operation.__name__)] = extra_operation_data[result_key] else: slot_data['{}_{}'.format(keys[0], extra_operation.__name__)] = extra_operation_data # Do we have a force data_loss? #TODO: do not compute data_loss if fill_with not present and force_data_loss if force_data_loss is not None: slot_data_loss = force_data_loss # Create the DataTimeSlot data_time_slot = DataTimeSlot(start = TimePoint(t=start_t, tz=timezone), end = TimePoint(t=end_t, tz=timezone), unit = unit, data = slot_data, data_loss = slot_data_loss) # Now handle indexes for index in series_indexes: if slot_timeseries: if index == 'data_loss': continue index_sum = 0 index_count = 0 for item in slot_timeseries: # Get index value try: index_value = getattr(item, index) except: slotted_index_value = None else: if index_value is not None: index_count += 1 index_sum += index_value # Compute the slotted index value (if there were indexes not None) if index_count > 0: slotted_index_value = index_sum/index_count else: slotted_index_value = None else: slotted_index_value = None # Set the index. Handle special case for data_reconstructed if index == 'data_reconstructed': setattr(data_time_slot, '_data_reconstructed', slotted_index_value) else: setattr(data_time_slot, index, slotted_index_value) # Return the slot return data_time_slot def process(self, data_time_point_series, from_t=None, from_dt=None, to_t=None, to_dt=None, validity=None, force_close_last=False, include_extremes=False, fill_with=None, force_data_loss=None, fill_gaps=True, force=False): """Start the slotting process. If start and/or end are not set, they are set automatically based on first and last points of the series.""" if not isinstance(data_time_point_series, DataTimePointSeries): raise TypeError('Can process only DataTimePointSeries, got "{}"'.format(data_time_point_series.__class__.__name__)) if not data_time_point_series: raise ValueError('Cannot process empty data_time_point_series') if include_extremes: if from_t is not None or to_t is not None: raise ValueError('Setting "include_extremes" is not compatible with giving a from_t or a to_t') from_rounding_method = 'floor' to_rounding_method = 'ceil' force_close_last = True else: from_rounding_method = 'ceil' to_rounding_method = 'floor' # Move fromt_dt and to_dt to epoch to simplify the following if from_dt is not None: from_t = s_from_dt(from_dt) if to_dt is not None: to_t = s_from_dt(to_dt) # Also force close if we have explicitly set an end force_close_last = True # Set "from" if not set, otherwise check for consistency # TODO: move to steaming if from_t is None: from_t = data_time_point_series[0].t from_dt = dt_from_s(from_t, data_time_point_series.tz) # Is the point already rounded to the time unit or do we have to round it ourselves? if not from_dt == self.time_unit.round_dt(from_dt): from_dt = self.time_unit.round_dt(from_dt, how=from_rounding_method) from_t = s_from_dt(from_dt) else: from_dt = dt_from_s(from_t, data_time_point_series.tz) if from_dt != self.time_unit.round_dt(from_dt): raise ValueError('Sorry, provided from_t is not consistent with the self.time_unit of "{}" (Got "{}")'.format(self.time_unit, from_t)) # Set "to" if not set, otherwise check for consistency # TODO: move to streaming if to_t is None: to_t = data_time_point_series[-1].t to_dt = dt_from_s(to_t, data_time_point_series.tz) # Is the point already rounded to the time unit or do we have to round it ourselves? if not to_dt == self.time_unit.round_dt(to_dt): to_dt = self.time_unit.round_dt(to_dt, how=to_rounding_method) to_t = s_from_dt(to_dt) else: to_dt = dt_from_s(to_t, data_time_point_series.tz) if to_dt != self.time_unit.round_dt(to_dt): raise ValueError('Sorry, provided to_t is not consistent with the self.time_unit of "{}" (Got "{}")'.format(self.time_unit, to_t)) # Also force close if we have explicitly set an end force_close_last = True # Automatically detect validity if not set if validity is None: validity = data_time_point_series.autodetected_sampling_interval logger.info('Using auto-detected sampling interval: %ss', validity) # Check if not upslotting (with some tolerance) if not force: # TODO: this check is super-weak. Will fail in loads of edge cases, i.e. months slotted in 30 days. unit_duration_s = self.time_unit.duration_s(data_time_point_series[0].dt) if validity > (unit_duration_s * 1.1): raise ValueError('Upslotting not supported yet (slotter unit: {}; detected time series sampling interval: {})'.format(unit_duration_s, validity)) # Log logger.debug('Started slotter from "%s" (%s) to "%s" (%s)', from_dt, from_t, to_dt, to_t) if from_dt >= to_dt: raise ValueError('Sorry, from is >= to! (from_t={}, to_t={})'.format(from_t, to_t)) # Set some support vars slot_start_t = None slot_end_t = None prev_data_time_point = None working_serie = DataTimePointSeries() process_ended = False data_time_slot_series = DataTimeSlotSeries() slots_to_be_interpolated = [] last_no_full_data_loss_slot = None # Set timezone timezone = data_time_point_series.tz logger.debug('Using timezone "%s"', timezone) # Counters count = 0 first = True # Indexes series_indexes = data_time_point_series.indexes series_resolution = data_time_point_series.resolution # Now go trough all the data in the time series for data_time_point in data_time_point_series: logger.debug('Processing %s', data_time_point) # Increase counter count += 1 # Set start_dt if not already done TODO: implement it correctly #if not from_dt: # from_dt = self.time_unit.timeInterval.round_dt(data_time_point.dt) if rounded else data_time_point.dt # Pretend there was a slot before if we are at the beginning. TOOD: improve me. if slot_end_t is None: slot_end_t = from_t # First, check if we have some points to discard at the beginning if data_time_point.t < from_t: # If we are here it means we are going data belonging to a previous slot # (probably just spare data loaded to have access to the prev_datapoint) prev_data_time_point = data_time_point continue # Similar concept for the end # TODO: what if we are in streaming mode? add if to_t is not None? if data_time_point.t >= to_t: if process_ended: break # The following procedure works in general for slots at the beginning and in the middle. # The approach is to detect if the current slot is "outdated" and spin a new one if so. if data_time_point.t > slot_end_t: # If the current slot is outdated: # 1) Add this last point to the data_time_point_series: working_serie.append(data_time_point) #2) keep spinning new slots until the current data point falls in one of them. # NOTE: Read the following "while" more as an "if" which can also lead to spin multiple # slot if there are empty slots between the one being closed and the data_time_point.dt. # TODO: leave or remove the above if for code readability? while slot_end_t < data_time_point.t: logger.debug('Checking for end {} with point {}'.format(slot_end_t, data_time_point.t)) # If we are in the pre-first slot, just silently spin a new slot: if slot_start_t is not None: # Append last point. Can be appended to multiple slots, this is normal since # the empty slots in the middle will have only a far prev and a far next. # can also be appended several times if working_serie is not reset (looping in the while) if data_time_point not in working_serie: working_serie.append(data_time_point) logger.debug('This slot (start={}, end={}) is closed, now aggregating it..'.format(slot_start_t, slot_end_t)) logger.debug('working_serie first point dt: %s', working_serie[0].dt) logger.debug('working_serie last point dt: %s', working_serie[-1].dt) # Compute slot... data_time_slot = self._compute_slot(working_serie, unit = self.time_unit, start_t = slot_start_t, end_t = slot_end_t, validity = validity, timezone = timezone, fill_with = fill_with, force_data_loss = force_data_loss, fill_gaps = fill_gaps, series_indexes = series_indexes, series_resolution = series_resolution, first_last = first) # Set first to false if first: first = False # .. and append results (unless we are before the first timeseries start point) if slot_end_t > data_time_point_series[0].t: if data_time_slot.data_loss == 1.0: # if data loss is full, append to slot to the slots to be interpolated slots_to_be_interpolated.append(data_time_slot) else: # If we have slots to be intepolated if slots_to_be_interpolated: for i, slot_to_be_interpolated in enumerate(slots_to_be_interpolated): # Prepare for interpolated data interpolated_data = {} # Computed interpolated data if self.interpolation_method == 'linear': for data_key in data_time_slot_series.data_keys(): interpolated_data[data_key] = ((((data_time_slot.data[data_key] - last_no_full_data_loss_slot.data[data_key]) / (len(slots_to_be_interpolated) + 1) ) * (i+1)) + last_no_full_data_loss_slot.data[data_key]) elif self.interpolation_method == 'uniform': for data_key in data_time_slot_series.data_keys(): interpolated_data[data_key] = (((data_time_slot.data[data_key] - last_no_full_data_loss_slot.data[data_key]) / 2) + last_no_full_data_loss_slot.data[data_key]) else: raise Exception('Unknown interpolation method "{}"'.format(self.interpolation_method)) # Add interpolated data slot_to_be_interpolated._data = interpolated_data data_time_slot_series.append(slot_to_be_interpolated) # Reset the "buffer" slots_to_be_interpolated = [] # Append this slot to the time series data_time_slot_series.append(data_time_slot) # ... and set this slot as the last with no full data loss last_no_full_data_loss_slot = data_time_slot # Create a new slot. This is where all the "calendar" time unit logic kicks-in, and where the time zone is required. slot_start_t = slot_end_t slot_start_dt = dt_from_s(slot_start_t, tz=timezone) slot_end_t = s_from_dt(dt_from_s(slot_start_t, tz=timezone) + self.time_unit) slot_end_dt = dt_from_s(slot_end_t, tz=timezone) # Create a new working_serie as part of the "create a new slot" procedure working_serie = DataTimePointSeries() # Append the previous prev_data_time_point to the new DataTimeSeries if prev_data_time_point: working_serie.append(prev_data_time_point) logger.debug('Spinned a new slot (start={}, end={})'.format(slot_start_dt, slot_end_dt)) # If last slot mark process as completed (and aggregate last slot if necessary) if data_time_point.dt >= to_dt: # Edge case where we would otherwise miss the last slot if data_time_point.dt == to_dt: # Compute slot... data_time_slot = self._compute_slot(working_serie, unit = self.time_unit, start_t = slot_start_t, end_t = slot_end_t, validity = validity, timezone = timezone, fill_with = fill_with, force_data_loss = force_data_loss, fill_gaps = fill_gaps, series_indexes = series_indexes, series_resolution = series_resolution, first_last = True) # .. and append results data_time_slot_series.append(data_time_slot) process_ended = True # Append this point to the working serie working_serie.append(data_time_point) # ..and save as previous point prev_data_time_point = data_time_point # Last slots if force_close_last: # 1) Close the last slot and aggreagte it. You should never do it unless you knwo what you are doing if working_serie: logger.debug('This slot (start={}, end={}) is closed, now aggregating it..'.format(slot_start_t, slot_end_t)) # Compute slot... data_time_slot = self._compute_slot(working_serie, unit = self.time_unit, start_t = slot_start_t, end_t = slot_end_t, validity = validity, timezone = timezone, fill_with = fill_with, force_data_loss = force_data_loss, fill_gaps = fill_gaps, series_indexes = series_indexes, series_resolution = series_resolution, first_last = True) # .. and append results data_time_slot_series.append(data_time_slot) # 2) Handle missing slots until the requested end (end_dt) # TODO: Implement it. Sure? Clashes with the idea of reconstructors.. logger.info('Slotted %s DataTimePoints in %s DataTimeSlots', count, len(data_time_slot_series)) return data_time_slot_series

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py

Python

django_bouncy/tests/__init__.py

jobtender24/django-bouncy

203250bf2d8219b69c36562512e3152699b0fdc2

[ "MIT" ]

31

2015-05-22T11:08:15.000Z

2019-06-21T12:08:17.000Z

django_bouncy/tests/__init__.py

jobtender24/django-bouncy

203250bf2d8219b69c36562512e3152699b0fdc2

[ "MIT" ]

26

2015-02-01T02:37:58.000Z

2019-07-02T00:41:34.000Z

django_bouncy/tests/__init__.py

careergroup24/django-bouncy

203250bf2d8219b69c36562512e3152699b0fdc2

[ "MIT" ]

30

2015-02-01T02:25:01.000Z

2019-07-02T08:18:21.000Z

"""Tests for django-bouncy""" # pylint: disable=wildcard-import from django_bouncy.tests.views import * from django_bouncy.tests.utils import *

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py

Python

shamanai/agents/__init__.py

adaptationio/Shaman-RL

548fa847e6ba2105cc0a876b02db3f3d7c179c54

[ "MIT" ]

2

2020-06-13T04:38:08.000Z

2022-03-22T08:38:10.000Z

shamanai/agents/__init__.py

adaptationio/Shaman-RL

548fa847e6ba2105cc0a876b02db3f3d7c179c54

[ "MIT" ]

1

2020-11-13T17:46:38.000Z

shamanai/agents/__init__.py

adaptationio/Shaman-AI

548fa847e6ba2105cc0a876b02db3f3d7c179c54

[ "MIT" ]

null

#from .ppo_sb2 import * #from .test_agent import * from .config import * from .human_agent_RT import * from .human_agent_TB import * #from .optimize import *

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8

7b0a35574b30eb0689b2a32100f33b7b7f8650f4

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py

Python

ci-scripts/dlrnapi_promoter/test_stage_qcows_unit.py

fuzzball81/ci-config

b3a8ff6be780bfae0ae9e3e0511dfa61010695eb

[ "Apache-2.0" ]

8

2016-10-06T13:24:04.000Z

2021-11-04T20:51:23.000Z

ci-scripts/dlrnapi_promoter/test_stage_qcows_unit.py

fuzzball81/ci-config

b3a8ff6be780bfae0ae9e3e0511dfa61010695eb

[ "Apache-2.0" ]

8

2020-02-26T20:11:29.000Z

2021-09-23T23:23:47.000Z

ci-scripts/dlrnapi_promoter/test_stage_qcows_unit.py

fuzzball81/ci-config

b3a8ff6be780bfae0ae9e3e0511dfa61010695eb

[ "Apache-2.0" ]

9

2016-04-08T14:38:06.000Z

2021-11-01T18:43:30.000Z

import unittest import pytest class TestQcowStagingServer(unittest.TestCase): @pytest.mark.xfail(reason="Not Implemented", run=False) def test_create_hierarchy_dir_exist(self): assert False @pytest.mark.xfail(reason="Not Implemented", run=False) def test_create_hierarchy_success(self): assert False @pytest.mark.xfail(reason="Not Implemented", run=False) def test_teardown_success(self): assert False @pytest.mark.xfail(reason="Not Implemented", run=False) def test_teardown_no_dir(self): assert False @pytest.mark.xfail(reason="Not Implemented", run=False) def test_stage_info(self): assert False @pytest.mark.xfail(reason="Not Implemented", run=False) def test_promote_overcloud_images_success(self): assert False @pytest.mark.xfail(reason="Not Implemented", run=False) def test_promote_overcloud_images_link_exist(self): assert False @pytest.mark.xfail(reason="Not Implemented", run=False) def test_setup_dir_exist(self): assert False @pytest.mark.xfail(reason="Not Implemented", run=False) def test_setup_success(self): assert False

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8

9ea63813fc7239d471c6fb045f2469ac03960f50

1,604

py

Python

MolecularRepresentation/aobw.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

MolecularRepresentation/aobw.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

MolecularRepresentation/aobw.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

# Description: Ambient occlussion in grayscale. # Source: placeHolder """ cmd.do('# Note: requires the gscale() function from pymolshortcuts.py.') cmd.do('# Download this script from http://GitHub.com/MooersLab/pymolshortcuts.') cmd.do('# Load the functions from this script with the command "run pymolshortcuts.py"') cmd.do('set_color oxygen, [1.0,0.4,0.4];') cmd.do('set_color nitrogen, [0.5,0.5,1.0];') cmd.do('remove solvent;') cmd.do('as spheres;') cmd.do('util.cbaw;') cmd.do('bg white;') cmd.do('gscale();') cmd.do('set light_count,10;') cmd.do('set spec_count,1;') cmd.do('set shininess, 10;') cmd.do('set specular,0.25;') cmd.do('set ambient,0;') cmd.do('set direct,0;') cmd.do('set reflect,1.5;') cmd.do('set ray_shadow_decay_factor, 0.1;') cmd.do('set ray_shadow_decay_range, 2;') cmd.do('set depth_cue, 0;') cmd.do('ray;') """ cmd.do('# Note: requires the gscale() function from pymolshortcuts.py.') cmd.do('# Download this script from http://GitHub.com/MooersLab/pymolshortcuts.') cmd.do('# Load the functions from this script with the command "run pymolshortcuts.py"') cmd.do('set_color oxygen, [1.0,0.4,0.4];') cmd.do('set_color nitrogen, [0.5,0.5,1.0];') cmd.do('remove solvent;') cmd.do('as spheres;') cmd.do('util.cbaw;') cmd.do('bg white;') cmd.do('gscale();') cmd.do('set light_count,10;') cmd.do('set spec_count,1;') cmd.do('set shininess, 10;') cmd.do('set specular,0.25;') cmd.do('set ambient,0;') cmd.do('set direct,0;') cmd.do('set reflect,1.5;') cmd.do('set ray_shadow_decay_factor, 0.1;') cmd.do('set ray_shadow_decay_range, 2;') cmd.do('set depth_cue, 0;') cmd.do('ray;')

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null

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7b5989b49be31c8a9819518738d3825e68bce973

97

py

Python

src/gtfspy/__init__.py

WYishai/gtfs.py

129cbe5cfd77d92d435db9502b4bb70dd067365c

[ "Apache-2.0" ]

8

2018-07-05T08:16:07.000Z

2020-09-05T20:13:41.000Z

src/gtfspy/__init__.py

WYishai/gtfs.py

129cbe5cfd77d92d435db9502b4bb70dd067365c

[ "Apache-2.0" ]

1

2019-04-14T07:01:32.000Z

src/gtfspy/__init__.py

WYishai/gtfs.py

129cbe5cfd77d92d435db9502b4bb70dd067365c

[ "Apache-2.0" ]

2

2019-04-12T14:44:41.000Z

2021-06-13T18:46:37.000Z

import data_objects from transit_data_object import TransitData from transit_data_utils import *

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7baddcff10b699011500a17ef88fca067b82a51b

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py

Python

src/outpost/django/campusonline/migrations/0046_student_username.py

medunigraz/outpost.django.campusonline

06776bce7556e438c1e00a96aaa9271a7aac8fe4

[ "BSD-2-Clause" ]

null

src/outpost/django/campusonline/migrations/0046_student_username.py

medunigraz/outpost.django.campusonline

06776bce7556e438c1e00a96aaa9271a7aac8fe4

[ "BSD-2-Clause" ]

null

src/outpost/django/campusonline/migrations/0046_student_username.py

medunigraz/outpost.django.campusonline

06776bce7556e438c1e00a96aaa9271a7aac8fe4

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.20 on 2019-03-27 13:29 from __future__ import unicode_literals from django.db import migrations from django.conf import settings class Migration(migrations.Migration): ops = [ ( """ DROP INDEX IF EXISTS campusonline_student_cardid_idx; """, """ CREATE INDEX campusonline_student_cardid_idx ON "public"."campusonline_student" ("cardid"); """, ), ( """ DROP INDEX IF EXISTS campusonline_student_matriculation_idx; """, """ CREATE INDEX campusonline_student_matriculation_idx ON "public"."campusonline_student" ("matriculation"); """, ), ( """ DROP INDEX IF EXISTS campusonline_student_id_idx; """, """ CREATE INDEX campusonline_student_id_idx ON "public"."campusonline_student" ("id"); """, ), ( """ DROP MATERIALIZED VIEW IF EXISTS "public"."campusonline_student"; """, """ CREATE MATERIALIZED VIEW "public"."campusonline_student" AS SELECT stud_nr::integer AS id, stud_mnr AS matriculation, stud_famnam AS last_name, stud_vorname AS first_name, stud_akadgrad AS title, stud_mifare AS cardid FROM "campusonline"."stud" WITH DATA; """, ), ( """ DROP FOREIGN TABLE IF EXISTS "campusonline"."stud"; """, """ CREATE FOREIGN TABLE "campusonline"."stud" ( STUD_NR numeric, STUD_MNR varchar, STUD_FAMNAM varchar, STUD_VORNAME varchar, STUD_AKADGRAD varchar, STUD_SEX varchar, STUD_MIFARE varchar ) SERVER sqlalchemy OPTIONS ( tablename 'STUD_V', db_url '{}' ); """.format( settings.MULTICORN.get("campusonline") ), ), ( """ CREATE FOREIGN TABLE "campusonline"."stud" ( STUD_NR numeric, STUD_MNR varchar, STUD_FAMNAM varchar, STUD_VORNAME varchar, STUD_AKADGRAD varchar, STUD_SEX varchar, STUD_MIFARE varchar, STUD_BENUTZERNAME varchar ) SERVER sqlalchemy OPTIONS ( tablename 'STUD_V', db_url '{}' ); """.format( settings.MULTICORN.get("campusonline") ), """ DROP FOREIGN TABLE IF EXISTS "campusonline"."stud"; """, ), ( """ CREATE MATERIALIZED VIEW "public"."campusonline_student" AS SELECT stud_nr::integer AS id, stud_mnr AS matriculation, stud_famnam AS last_name, stud_vorname AS first_name, stud_akadgrad AS title, stud_mifare AS cardid, stud_benutzername as username FROM "campusonline"."stud" WITH DATA; """, """ DROP MATERIALIZED VIEW IF EXISTS "public"."campusonline_student"; """, ), ( """ CREATE INDEX campusonline_student_id_idx ON "public"."campusonline_student" ("id"); """, """ DROP INDEX IF EXISTS campusonline_student_id_idx; """, ), ( """ CREATE INDEX campusonline_student_matriculation_idx ON "public"."campusonline_student" ("matriculation"); """, """ DROP INDEX IF EXISTS campusonline_student_matriculation_idx; """, ), ( """ CREATE INDEX campusonline_student_cardid_idx ON "public"."campusonline_student" ("cardid"); """, """ DROP INDEX IF EXISTS campusonline_student_cardid_idx; """, ), ( """ CREATE INDEX campusonline_student_username_idx ON "public"."campusonline_student" ("username"); """, """ DROP INDEX IF EXISTS campusonline_student_username_idx; """, ), ] dependencies = [("campusonline", "0045_course_group_term_filterd")] operations = [ migrations.RunSQL( [forward for forward, reverse in ops], [reverse for forward, reverse in reversed(ops)], ) ]

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c8b0e5b71d22867ae35c0b9ba26fdd3f034fdea3

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py

Python

Bot/__init__.py

FckVanessa/NekoBot

2eed89c69a78ff3447c99a934c83347904e39fa5

[ "Apache-2.0" ]

2

2021-09-17T12:34:00.000Z

2022-02-24T07:41:26.000Z

Bot/__init__.py

FckVanessa/NekoBot

2eed89c69a78ff3447c99a934c83347904e39fa5

[ "Apache-2.0" ]

null

Bot/__init__.py

FckVanessa/NekoBot

2eed89c69a78ff3447c99a934c83347904e39fa5

[ "Apache-2.0" ]

2

2021-05-14T04:05:30.000Z

2021-09-11T11:38:33.000Z

from Bot.config import Development as Config import logging import sys import telegram.ext as tg import pymongo import time import os BLACK='\033[0;30m' BLUE='\033[0;34m' GREEN='\033[0;32m' CYAN='\033[0;36m' RED='\033[0;31m' PURPLE='\033[0;35m' BROWN='\033[0;33m' LGRAY='\033[0;37m' DGRAY='\033[1;30m' LBLUE='\033[1;34m' LGREEN='\033[1;32m' LCYAN='\033[1;36m' LRED='\033[1;31m' LPURPLE='\033[1;35m' YELLOW='\033[1;33m' WHITE='\033[1;37m' NC='\033[om' os.system("clear") StartTime = time.time() # Mengaktifkan logging/riwayat logging.basicConfig( format="\033[1;31%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO ) LOGGER = logging.getLogger(__name__) LOGGER.info("\033[0;34mNeko \033[0;32mis \033[0;36mnow \033[0;31monline\n\033[1;36m[\033[0;33m+\033[1;36m]======================================================\033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]\033[1;33m _ _ \033[1;35m \033[1;31m _\033[1;36m \033[1;34m____ \033[1;37m _ \033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]\033[1;33m | \ | |\033[1;35m ___\033[1;31m| | __\033[1;36m___\033[1;34m | __ ) \033[1;32m ___\033[1;37m | |_ \033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]\033[1;33m | \| |\033[1;35m/ _ \ \033[1;31m|/ / \033[1;36m_ \ \033[1;34m| _ \ \033[1;32m/ _ \\\033[1;37m| __| \033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]\033[1;33m | |\ | \033[1;35m __/ \033[1;31m <\033[1;36m (_) |\033[1;34m| |_) |\033[1;32m (_) \033[1;37m| |_ \033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]\033[1;33m |_| \_|\033[1;35m\___|\033[1;31m_|\_\\\033[1;36m___\033[0;37m(_)\033[1;34m____/ \033[1;32m\___/\033[1;37m \__| \033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]======================================================\033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]\033[1;37m Created \033[1;32m :\033[1;37m NekoId \033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]\033[1;37m Github \033[1;32m :\033[1;37m https://github.com/NekoId \033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]\033[1;37m Telegram\033[1;32m :\033[1;37m https://t.me/Nekoid \033[1;36m[\033[0;33m+\033[1;36m]\n\033[1;36m[\033[0;33m+\033[1;36m]======================================================\033[1;36m[\033[0;33m+\033[1;36m]") # python version < 3.6, atau bot akan berhenti. if sys.version_info[0] < 3 or sys.version_info[1] < 6: LOGGER.error( "Anda harus memiliki versi python setidaknya 3.6! Beberapa fitur bergantung pada ini. Bot berhenti." ) quit(1) TOKEN = Config.TOKEN MONGO_CLIENT = pymongo.MongoClient(Config.MONGO_URI) updater = tg.Updater(TOKEN, use_context=True) dispatcher = updater.dispatcher

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1,857

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2,945

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1,858

60.102041

0.333854

0.025127

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false

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1

0

1

0

1

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null

0

7

c8c0d9ae6dc0df92fb8d177644f25fae4c799f49

7,008

py

Python

geokey/contributions/tests/observations/test_renderers.py

universityofsussex/geokey

25e161dbc81841c57c148053dbe99facc81e84b8

[ "Apache-2.0" ]

null

geokey/contributions/tests/observations/test_renderers.py

universityofsussex/geokey

25e161dbc81841c57c148053dbe99facc81e84b8

[ "Apache-2.0" ]

null

geokey/contributions/tests/observations/test_renderers.py

universityofsussex/geokey

25e161dbc81841c57c148053dbe99facc81e84b8

[ "Apache-2.0" ]

null

"""Tests for renderers of contributions (observations).""" import json from django.test import TestCase from django.template.loader import render_to_string from geokey.contributions.renderers.geojson import GeoJsonRenderer from geokey.contributions.renderers.kml import KmlRenderer class KmlRendererTest(TestCase): def setUp(self): self.contrib = { 'id': 1, 'location': { 'id': 1, 'name': 'Location', 'description': None, 'geometry': '{"type": "Point","coordinates": [ ' '-0.144415497779846, 51.54671869005856]}' }, "properties": { "child_friendly": False, "name": "The Grafton", "address": "20 Prince of Wales Rd, London NW5 3LG" }, "display_field": { "key": "name", "value": "The Grafton" }, "meta": { "creator": { "id": 2, "display_name": "Oliver" }, "isowner": True, "updator": None, "status": "active", "created_at": "2014-09-19T15:51:32.804Z", "updated_at": "2014-09-21T15:51:32.804Z", "version": 1, "category": { "id": 40, "name": "Pubs", "description": "", "status": "active", "fields": [ { "id": 117, "name": "Name", "key": "name", "fieldtype": "TextField", "description": "", "status": "active", "required": True }, { "id": 118, "name": "Address", "key": "address", "fieldtype": "TextField", "description": "", "status": "active", "required": False }, { "id": 119, "name": "Child friedly", "key": "child_friedly", "fieldtype": "TrueFalseField", "description": "Would your take your kids?", "status": "active", "required": False } ], "colour": "#0033ff", "created_at": "2014-09-17T00:00:00Z" } }, "comments": [], "review_comments": [], "media": [] } def test_render(self): renderer = KmlRenderer() result = renderer.render([self.contrib]) rendered = render_to_string( 'geometries/placemarks.kml', {'data': [self.contrib]} ) self.assertEqual(result, rendered) class GeoJsonRendererTest(TestCase): def setUp(self): self.contrib = { 'id': 1, 'location': { 'id': 1, 'name': 'Location', 'description': None, 'geometry': '{"type": "Point","coordinates": [ ' '-0.144415497779846, 51.54671869005856]}' }, "properties": { "child_friendly": False, "name": "The Grafton", "address": "20 Prince of Wales Rd, London NW5 3LG" }, "meta": { "creator": { "id": 2, "display_name": "Oliver" }, "isowner": True, "updator": None, "status": "active", "created_at": "2014-09-19T15:51:32.804Z", "updated_at": "2014-09-21T15:51:32.804Z", "version": 1, "category": { "id": 40, "name": "Pubs", "description": "", "status": "active", "fields": [ { "id": 117, "name": "Name", "key": "name", "fieldtype": "TextField", "description": "", "status": "active", "required": True }, { "id": 118, "name": "Address", "key": "address", "fieldtype": "TextField", "description": "", "status": "active", "required": False }, { "id": 119, "name": "Child friedly", "key": "child_friedly", "fieldtype": "TrueFalseField", "description": "Would your take your kids?", "status": "active", "required": False } ], "colour": "#0033ff", "created_at": "2014-09-17T00:00:00Z" } }, "comments": [], "review_comments": [], "media": [] } def test_render_single(self): renderer = GeoJsonRenderer() result = renderer.render_single(self.contrib) self.assertTrue('geometry' in result) self.assertFalse('geometry' in result.get('location')) def test_render_many(self): renderer = GeoJsonRenderer() result = renderer.render_many([self.contrib]) self.assertEqual(result.get('type'), 'FeatureCollection') self.assertEqual(len(result.get('features')), 1) def test_render_with_none(self): renderer = GeoJsonRenderer() result = renderer.render(None) self.assertEqual(result, '') def test_render_with_single(self): renderer = GeoJsonRenderer() result = json.loads(renderer.render(self.contrib)) self.assertTrue('geometry' in result) self.assertFalse('geometry' in result.get('location')) def test_render_with_many(self): renderer = GeoJsonRenderer() result = json.loads(renderer.render([self.contrib])) self.assertEqual(result.get('type'), 'FeatureCollection') self.assertEqual(len(result.get('features')), 1)

35.04

72

0.383562

468

7,008

5.668803

0.260684

0.045232

0.018093

0.062194

0.810026

0.790426

0.737279

0

0.058526

0.492865

7,008

199

73

35.21608

0.687957

0.00742

0

0.703911

0

0.226619

0.023741

0

0.055866

1

0.044693

false

0

0.027933

0

0.083799

0

null

0

1

0

1

0

null

0

7

c8c3007c48282ae8265971a962ad0bd25b5a2fd4

6,386

py

Python

mimo/distributions/gamma.py

hanyas/mimo

6f9b327a1a202a88b33a419520474ef4f10749e8

[ "MIT" ]

16

2019-11-27T14:07:47.000Z

2021-03-12T19:50:01.000Z

mimo/distributions/gamma.py

pnickl/mimo

81c4bbd2594e2136445009eae752ab8a1602a1cf

[ "MIT" ]

null

mimo/distributions/gamma.py

pnickl/mimo

81c4bbd2594e2136445009eae752ab8a1602a1cf

[ "MIT" ]

6

2019-10-28T23:24:28.000Z

2022-03-01T12:38:53.000Z

import numpy as np import numpy.random as npr from scipy.special import gammaln, digamma from mimo.abstraction import Distribution from mimo.abstraction import Statistics as Stats class Gamma(Distribution): # In comparison to a Wishart distribution # alpha = nu / 2. # beta = 1. / (2. * psi) def __init__(self, alphas, betas): self.alphas = alphas # shape self.betas = betas # rate @property def params(self): return self.alphas, self.betas @params.setter def params(self, values): self.alphas, self.betas = values @property def dim(self): return len(self.alphas) def rvs(self, size=1): # numpy uses a different parameterization return npr.gamma(self.alphas, 1. / self.betas) def mean(self): return self.alphas / self.betas def mode(self): assert np.all(self.alphas >= 1.) return (self.alphas - 1.) / self.betas def log_likelihood(self, x): # not vectorized log_lik = np.sum((self.alphas - 1.) * np.log(x) - self.betas * x) return - self.log_partition() + self.log_base() + log_lik def statistics(self, data): if isinstance(data, np.ndarray): idx = ~np.isnan(data).any(axis=1) data = data[idx] logx = np.log(data) x = data n = np.ones((self.data.shape[0], )) return Stats([logx, n, x, n]) else: return list(map(self.statistics, data)) def weighted_statistics(self, data, weights): if isinstance(data, np.ndarray): idx = ~np.isnan(data).any(axis=1) data = data[idx] weights = weights[idx] logx = np.einsum('n,nk->nk', weights, np.log(data)) x = np.einsum('n,nk->nk', weights, data) n = weights return Stats([logx, n, x, n]) else: return list(map(self.weighted_statistics, data, weights)) @property def base(self): return 1. def log_base(self): return np.log(self.base) @property def nat_param(self): return self.std_to_nat(self.params) @nat_param.setter def nat_param(self, natparam): self.params = self.nat_to_std(natparam) @staticmethod def std_to_nat(params): alphas = params[0] - 1 betas = - params[1] return Stats([alphas, betas]) @staticmethod def nat_to_std(natparam): alphas = natparam[0] + 1 betas = - natparam[1] return alphas, betas def log_partition(self): return np.sum(gammaln(self.alphas) - self.alphas * np.log(self.betas)) def expected_statistics(self): E_log_x = digamma(self.alphas) - np.log(self.betas) E_x = self.alphas / self.betas return E_log_x, E_x def entropy(self): nat_param, stats = self.nat_param, self.expected_statistics() return self.log_partition() - self.log_base()\ - (nat_param[0].dot(stats[0]) + np.dot(nat_param[1], stats[1])) def cross_entropy(self, dist): nat_param, stats = dist.nat_param, self.expected_statistics() return dist.log_partition() - dist.log_base() \ - (nat_param[0].dot(stats[0]) + np.dot(nat_param[1], stats[1])) class InverseGamma(Distribution): def __init__(self, alphas, betas): self.alphas = alphas # shape self.betas = betas # rate @property def params(self): return self.alphas, self.betas @params.setter def params(self, values): self.alphas, self.betas = values @property def dim(self): return len(self.alphas) def rvs(self, size=1): # numpy uses a different parameterization return 1. / npr.gamma(self.alphas, 1. / self.betas) def mean(self): assert np.all(self.alphas >= 1.) return self.betas / (self.alphas - 1) def mode(self): return self.betas / (self.alphas + 1.) def log_likelihood(self, x): # not vectorized log_lik = np.sum((- self.alphas - 1.) * np.log(x) - self.betas / x) return - self.log_partition() + self.log_base() + log_lik def statistics(self, data): if isinstance(data, np.ndarray): idx = ~np.isnan(data).any(axis=1) data = data[idx] logx = np.log(data) x = 1. / data n = np.ones((data.shape[0], )) return Stats([logx, n, x, n]) else: return list(map(self.statistics, data)) def weighted_statistics(self, data, weights): if isinstance(data, np.ndarray): idx = ~np.isnan(data).any(axis=1) data = data[idx] weights = weights[idx] logx = np.einsum('n,nk->nk', weights, np.log(data)) x = np.einsum('n,nk->nk', weights, 1. / data) n = weights return Stats([logx, n, x, n]) else: return list(map(self.weighted_statistics, data, weights)) @property def base(self): return 1. def log_base(self): return np.log(self.base) @property def nat_param(self): return self.std_to_nat(self.params) @nat_param.setter def nat_param(self, natparam): self.params = self.nat_to_std(natparam) @staticmethod def std_to_nat(params): alphas = - params[0] - 1 betas = - params[1] return Stats([alphas, betas]) @staticmethod def nat_to_std(natparam): alphas = - natparam[0] - 1 betas = - natparam[1] return alphas, betas def log_partition(self): return np.sum(gammaln(self.alphas) - self.alphas * np.log(self.betas)) def expected_statistics(self): E_log_x = np.log(self.betas) - digamma(self.alphas) E_x_inv = self.alphas / self.betas return E_log_x, E_x_inv def entropy(self): nat_param, stats = self.nat_param, self.expected_statistics() return self.log_partition() - self.log_base()\ - (nat_param[0].dot(stats[0]) + np.dot(nat_param[1], stats[1])) def cross_entropy(self, dist): nat_param, stats = dist.nat_param, self.expected_statistics() return dist.log_partition() - dist.log_base() \ - (nat_param[0].dot(stats[0]) + np.dot(nat_param[1], stats[1]))

28.382222

78

0.580645

847

6,386

4.266824

0.109799

0.077476

0.034864

0.036801

0.904261

0.886276

0.873824

0.855008

0

0.011728

0.292358

6,386

224

79

28.508929

0.788006

0.032884

0

0.809816

0

0.005191

0

0.01227

1

0.245399

false

0

0.030675

0.09816

0.521472

0

null

0

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0

1

0

null

0

1

0

1

0

9

b544cf55b869d26a9d063781c6a8c2a53084ef20

106

py

Python

rajksimple/tests/test_nothing.py

rajk-apps/rajksimple

e3f283eded85927509e8ff2f9774caf9501910fd

[ "MIT" ]

1

2020-04-09T06:42:11.000Z

rajksimple/tests/test_nothing.py

rajk-apps/rajksimple

e3f283eded85927509e8ff2f9774caf9501910fd

[ "MIT" ]

null

rajksimple/tests/test_nothing.py

rajk-apps/rajksimple

e3f283eded85927509e8ff2f9774caf9501910fd

[ "MIT" ]

1

2020-04-12T11:54:38.000Z

# from django.test import TestCase def test_import(): import rajksimple rajksimple.__version__

13.25

34

0.745283

12

106

6.166667

0.666667

0.27027

0

0.198113

106

7

35

15.142857

0.870588

0.301887

0

1

0.333333

true

0

0.666667

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

b590bf5d8d7c91c05970033221844edada1954fb

29,454

py

Python

mc2/controllers/docker/tests/test_docker_controller.py

praekeltfoundation/mc2

5367a8aed309fade0f17bc72efa099b0afc76aa7

[ "BSD-2-Clause" ]

4

2016-03-09T00:51:17.000Z

2017-10-05T23:54:00.000Z

mc2/controllers/docker/tests/test_docker_controller.py

praekeltfoundation/mc2

5367a8aed309fade0f17bc72efa099b0afc76aa7

[ "BSD-2-Clause" ]

131

2015-11-19T16:45:23.000Z

2018-07-24T09:36:08.000Z

mc2/controllers/docker/tests/test_docker_controller.py

praekeltfoundation/mc2

5367a8aed309fade0f17bc72efa099b0afc76aa7

[ "BSD-2-Clause" ]

2

2016-07-30T15:36:23.000Z

2017-09-18T12:40:11.000Z

import pytest import responses from django.conf import settings from django.contrib.auth.models import User from django.core.urlresolvers import reverse from mc2.controllers.base.tests.base import ControllerBaseTestCase from mc2.controllers.docker.models import ( DockerController, marathon_lb_domains, traefik_domains) from mc2.organizations.models import Organization, OrganizationUserRelation @pytest.mark.django_db class DockerControllerTestCase(ControllerBaseTestCase): fixtures = ['test_users.json', 'test_social_auth.json'] def setUp(self): self.user = User.objects.get(username='testuser') self.maxDiff = None def test_get_marathon_app_data(self): controller = DockerController.objects.create( name='Test App', owner=self.user, marathon_cmd='ping', docker_image='docker/image', ) org = Organization.objects.create(name="Test Org", slug="test-org") OrganizationUserRelation.objects.create( user=self.user, organization=org) controller.organization = org controller.save() custom_urls = "testing.com url.com" controller.domain_urls += custom_urls domain_label = "{}.{} {}".format( controller.app_id, settings.HUB_DOMAIN, custom_urls) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "test-org", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "parameters": [{"key": "memory-swappiness", "value": "0"}], }, }, }) controller.port = 1234 controller.save() domain_label = "{}.{} {}".format( controller.app_id, settings.HUB_DOMAIN, custom_urls) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "test-org", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "portMappings": [{"containerPort": 1234, "hostPort": 0}], "parameters": [{"key": "memory-swappiness", "value": "0"}], }, }, }) controller.marathon_health_check_path = '/health/path/' controller.save() domain_label = "{}.{} {}".format( controller.app_id, settings.HUB_DOMAIN, custom_urls) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "test-org", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "portMappings": [{"containerPort": 1234, "hostPort": 0}], "parameters": [{"key": "memory-swappiness", "value": "0"}], } }, "ports": [0], "healthChecks": [{ "gracePeriodSeconds": 60, "intervalSeconds": 10, "maxConsecutiveFailures": 3, "path": '/health/path/', "portIndex": 0, "protocol": "HTTP", "timeoutSeconds": 20 }] }) controller.volume_needed = True controller.volume_path = "/deploy/media/" controller.save() domain_label = "{}.{} {}".format( controller.app_id, settings.HUB_DOMAIN, custom_urls) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "test-org", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "portMappings": [{"containerPort": 1234, "hostPort": 0}], "parameters": [ {"key": "memory-swappiness", "value": "0"}, {"key": "volume-driver", "value": "xylem"}, { "key": "volume", "value": "%s_media:/deploy/media/" % controller.app_id }] } }, "ports": [0], "healthChecks": [{ "gracePeriodSeconds": 60, "intervalSeconds": 10, "maxConsecutiveFailures": 3, "path": '/health/path/', "portIndex": 0, "protocol": "HTTP", "timeoutSeconds": 20 }] }) controller.volume_path = "" controller.save() domain_label = "{}.{} {}".format( controller.app_id, settings.HUB_DOMAIN, custom_urls) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "test-org", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "portMappings": [{"containerPort": 1234, "hostPort": 0}], "parameters": [ {"key": "memory-swappiness", "value": "0"}, {"key": "volume-driver", "value": "xylem"}, { "key": "volume", "value": "%s_media:%s" % ( controller.app_id, settings.MARATHON_DEFAULT_VOLUME_PATH) }] } }, "ports": [0], "healthChecks": [{ "gracePeriodSeconds": 60, "intervalSeconds": 10, "maxConsecutiveFailures": 3, "path": '/health/path/', "portIndex": 0, "protocol": "HTTP", "timeoutSeconds": 20 }] }) def test_get_marathon_app_data_with_env(self): controller = DockerController.objects.create( name='Test App', owner=self.user, marathon_cmd='ping', docker_image='docker/image', ) self.mk_env_variable(controller) domain_label = "{}.{}".format(controller.app_id, settings.HUB_DOMAIN) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "env": {"TEST_KEY": "a test value"}, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "parameters": [{"key": "memory-swappiness", "value": "0"}], }, }, }) def test_get_marathon_app_data_with_app_labels(self): controller = DockerController.objects.create( name='Test App', owner=self.user, marathon_cmd='ping', docker_image='docker/image', ) self.mk_env_variable(controller) self.mk_labels_variable(controller) domain_label = "{}.{}".format(controller.app_id, settings.HUB_DOMAIN) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "env": {"TEST_KEY": "a test value"}, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "TEST_LABELS_NAME": 'a test label value', "org": "", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "parameters": [{"key": "memory-swappiness", "value": "0"}], }, }, }) @responses.activate def test_get_marathon_app_data_with_postgres_db_needed(self): controller = DockerController.objects.create( name='Test App', owner=self.user, marathon_cmd='ping', docker_image='docker/image', postgres_db_needed=True, ) self.mock_create_postgres_db(200, { 'result': { 'name': 'joes_db', 'user': 'joe', 'password': '1234', 'host': 'localhost'}}) domain_label = "{}.{}".format(controller.app_id, settings.HUB_DOMAIN) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "env": { "DATABASE_URL": u"postgres://joe:1234@localhost/joes_db"}, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "parameters": [{"key": "memory-swappiness", "value": "0"}], }, }, }) @responses.activate def test_to_dict(self): controller = DockerController.objects.create( name='Test App', owner=self.user, marathon_cmd='ping', docker_image='docker/image', port=1234, marathon_health_check_path='/health/path/', marathon_health_check_cmd='cmd ping', ) self.assertEquals(controller.to_dict(), { 'id': controller.id, 'name': 'Test App', 'app_id': controller.app_id, 'state': 'initial', 'state_display': 'Initial', 'marathon_cmd': 'ping', 'marathon_args': '', 'port': 1234, 'marathon_health_check_path': '/health/path/', 'marathon_health_check_cmd': 'cmd ping', }) @responses.activate def test_marathon_cmd_optional(self): controller = DockerController.objects.create( name='Test App', owner=self.user, docker_image='docker/image', ) domain_label = "{}.{}".format(controller.app_id, settings.HUB_DOMAIN) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "parameters": [{"key": "memory-swappiness", "value": "0"}], }, }, }) @responses.activate def test_marathon_with_args(self): controller = DockerController.objects.create( name='Test App', owner=self.user, docker_image='docker/image', marathon_args='celery worker' ) domain_label = "{}.{}".format(controller.app_id, settings.HUB_DOMAIN) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "args": ["celery", "worker"], "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "parameters": [{"key": "memory-swappiness", "value": "0"}], }, }, }) @responses.activate def test_get_marathon_app_data_using_health_timeout_strings(self): controller = DockerController.objects.create( name='Test App', owner=self.user, marathon_cmd='ping', docker_image='docker/image', marathon_health_check_path='/health/path/', port=1234, ) custom_urls = "testing.com url.com" controller.domain_urls += custom_urls with self.settings( MESOS_DEFAULT_GRACE_PERIOD_SECONDS='600', MESOS_DEFAULT_INTERVAL_SECONDS='100', MESOS_DEFAULT_TIMEOUT_SECONDS='200'): domain_label = "{}.{} {}".format( controller.app_id, settings.HUB_DOMAIN, custom_urls) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "portMappings": [ {"containerPort": 1234, "hostPort": 0}], "parameters": [ {"key": "memory-swappiness", "value": "0"}], }, }, "ports": [0], "healthChecks": [{ "gracePeriodSeconds": 600, "intervalSeconds": 100, "maxConsecutiveFailures": 3, "path": '/health/path/', "portIndex": 0, "protocol": "HTTP", "timeoutSeconds": 200 }] }) @responses.activate def test_get_marathon_app_data_using_health_cmd(self): controller = DockerController.objects.create( name='Test App', owner=self.user, marathon_cmd='ping', docker_image='docker/image', marathon_health_check_cmd='cmd ping', port=1234, ) custom_urls = "testing.com url.com" controller.domain_urls += custom_urls with self.settings( MESOS_DEFAULT_GRACE_PERIOD_SECONDS='600', MESOS_DEFAULT_INTERVAL_SECONDS='100', MESOS_DEFAULT_TIMEOUT_SECONDS='200'): domain_label = "{}.{} {}".format( controller.app_id, settings.HUB_DOMAIN, custom_urls) self.assertEquals(controller.get_marathon_app_data(), { "id": controller.app_id, "cpus": 0.1, "mem": 128.0, "instances": 1, "cmd": "ping", "backoffFactor": settings.MESOS_DEFAULT_BACKOFF_FACTOR, "backoffSeconds": settings.MESOS_DEFAULT_BACKOFF_SECONDS, "labels": { "domain": domain_label, "HAPROXY_GROUP": "external", "HAPROXY_0_VHOST": marathon_lb_domains(domain_label), "traefik.frontend.rule": traefik_domains(domain_label), "name": "Test App", "org": "", }, "container": { "type": "DOCKER", "docker": { "image": "docker/image", "forcePullImage": True, "network": "BRIDGE", "portMappings": [ {"containerPort": 1234, "hostPort": 0}], "parameters": [ {"key": "memory-swappiness", "value": "0"}], }, }, "healthChecks": [{ "gracePeriodSeconds": 600, "intervalSeconds": 100, "maxConsecutiveFailures": 3, "command": {'value': 'cmd ping'}, "protocol": "COMMAND", "timeoutSeconds": 200 }] }) @responses.activate def test_create_new_controller_with_no_port(self): org = Organization.objects.create(name="Foo Org", slug="foo-org") OrganizationUserRelation.objects.create( user=self.user, organization=org) self.client.login(username='testuser2', password='test') self.client.get( reverse('organizations:select-active', args=('foo-org',))) self.mock_create_marathon_app() self.mock_create_postgres_db(200, { 'result': { 'name': 'joes_db', 'user': 'joe', 'password': '1234', 'host': 'localhost'}}) data = { 'name': 'Another test app', 'docker_image': 'test/image', 'postgres_db_needed': True, 'env-TOTAL_FORMS': 0, 'env-INITIAL_FORMS': 0, 'env-MIN_NUM_FORMS': 0, 'env-MAX_NUM_FORMS': 100, 'label-TOTAL_FORMS': 0, 'label-INITIAL_FORMS': 0, 'label-MIN_NUM_FORMS': 0, 'label-MAX_NUM_FORMS': 100, 'link-TOTAL_FORMS': 0, 'link-INITIAL_FORMS': 0, 'link-MIN_NUM_FORMS': 0, 'link-MAX_NUM_FORMS': 100, } response = self.client.post(reverse('controllers.docker:add'), data) self.assertEqual(response.status_code, 302) controller = DockerController.objects.all().last() self.assertEqual(controller.state, 'done') self.assertEqual(controller.name, 'Another test app') self.assertEqual(controller.organization.slug, 'foo-org') self.assertIsNone(controller.port) @responses.activate def test_create_new_controller_with_health_path(self): org = Organization.objects.create(name="Foo Org", slug="foo-org") OrganizationUserRelation.objects.create( user=self.user, organization=org) self.client.login(username='testuser2', password='test') self.client.get( reverse('organizations:select-active', args=('foo-org',))) self.mock_create_marathon_app() self.mock_create_postgres_db(200, { 'result': { 'name': 'joes_db', 'user': 'joe', 'password': '1234', 'host': 'localhost'}}) data = { 'name': 'Another test app', 'docker_image': 'test/image', 'postgres_db_needed': True, 'port': 8000, 'env-TOTAL_FORMS': 0, 'env-INITIAL_FORMS': 0, 'env-MIN_NUM_FORMS': 0, 'env-MAX_NUM_FORMS': 100, 'label-TOTAL_FORMS': 0, 'label-INITIAL_FORMS': 0, 'label-MIN_NUM_FORMS': 0, 'label-MAX_NUM_FORMS': 100, 'link-TOTAL_FORMS': 0, 'link-INITIAL_FORMS': 0, 'link-MIN_NUM_FORMS': 0, 'link-MAX_NUM_FORMS': 100, 'marathon_health_check_path': '/health/path/', } response = self.client.post(reverse('controllers.docker:add'), data) self.assertEqual(response.status_code, 302) controller = DockerController.objects.all().last() self.assertEqual(controller.state, 'done') self.assertEqual(controller.name, 'Another test app') self.assertEqual(controller.organization.slug, 'foo-org') self.assertEqual( controller.marathon_health_check_path, '/health/path/') @responses.activate def test_create_new_controller_with_health_cmd(self): org = Organization.objects.create(name="Foo Org", slug="foo-org") OrganizationUserRelation.objects.create( user=self.user, organization=org) self.client.login(username='testuser2', password='test') self.client.get( reverse('organizations:select-active', args=('foo-org',))) self.mock_create_marathon_app() self.mock_create_postgres_db(200, { 'result': { 'name': 'joes_db', 'user': 'joe', 'password': '1234', 'host': 'localhost'}}) data = { 'name': 'Another test app', 'docker_image': 'test/image', 'postgres_db_needed': True, 'env-TOTAL_FORMS': 0, 'env-INITIAL_FORMS': 0, 'env-MIN_NUM_FORMS': 0, 'env-MAX_NUM_FORMS': 100, 'label-TOTAL_FORMS': 0, 'label-INITIAL_FORMS': 0, 'label-MIN_NUM_FORMS': 0, 'label-MAX_NUM_FORMS': 100, 'link-TOTAL_FORMS': 0, 'link-INITIAL_FORMS': 0, 'link-MIN_NUM_FORMS': 0, 'link-MAX_NUM_FORMS': 100, 'marathon_health_check_cmd': 'cmd ping', } response = self.client.post(reverse('controllers.docker:add'), data) self.assertEqual(response.status_code, 302) controller = DockerController.objects.all().last() self.assertEqual(controller.state, 'done') self.assertEqual(controller.name, 'Another test app') self.assertEqual(controller.organization.slug, 'foo-org') self.assertEqual( controller.marathon_health_check_cmd, 'cmd ping') @responses.activate def test_create_new_controller_with_health_multiple_checks(self): org = Organization.objects.create(name="Foo Org", slug="foo-org") OrganizationUserRelation.objects.create( user=self.user, organization=org) self.client.login(username='testuser2', password='test') self.client.get( reverse('organizations:select-active', args=('foo-org',))) self.mock_create_marathon_app() self.mock_create_postgres_db(200, { 'result': { 'name': 'joes_db', 'user': 'joe', 'password': '1234', 'host': 'localhost'}}) data = { 'name': 'Another test app', 'docker_image': 'test/image', 'postgres_db_needed': True, 'env-TOTAL_FORMS': 0, 'env-INITIAL_FORMS': 0, 'env-MIN_NUM_FORMS': 0, 'env-MAX_NUM_FORMS': 100, 'label-TOTAL_FORMS': 0, 'label-INITIAL_FORMS': 0, 'label-MIN_NUM_FORMS': 0, 'label-MAX_NUM_FORMS': 100, 'link-TOTAL_FORMS': 0, 'link-INITIAL_FORMS': 0, 'link-MIN_NUM_FORMS': 0, 'link-MAX_NUM_FORMS': 100, 'marathon_health_check_path': '/health/path/', 'marathon_health_check_cmd': 'cmd ping', } response = self.client.post(reverse('controllers.docker:add'), data) self.assertEqual(response.status_code, 302) controller = DockerController.objects.all().last() self.assertEqual(controller.state, 'done') self.assertEqual(controller.name, 'Another test app') self.assertEqual(controller.organization.slug, 'foo-org') self.assertEqual( controller.marathon_health_check_path, '/health/path/') self.assertEqual( controller.marathon_health_check_cmd, 'cmd ping')

37.956186

79

0.498438

2,526

29,454

5.577593

0.07601

0.037476

0.028746

0.045993

0.921428

0.916034

0.911136

0.903258

0.893179

0.875009

0

0.01943

0.372683

29,454

775

80

38.005161

0.743086

0

0.84701

0

0.22435

0.026889

0

0.047288

1

0.019471

false

0.012517

0.011127

0

0.03338

0

null

0

1

0

1

0

null

0

7

a9113de7c31758b84e7a603f5c7477130a5a1dd1

5,272

py

Python

Develop-Files/title.py

Zfauser/Heros-Of-Gitward

6baf9005479c969cabdb3c560976f72ff56db664

[ "MIT" ]

1

2021-03-06T23:40:21.000Z

Develop-Files/title.py

Zfauser/Python-Game-Gr-9

6baf9005479c969cabdb3c560976f72ff56db664

[ "MIT" ]

null

Develop-Files/title.py

Zfauser/Python-Game-Gr-9

6baf9005479c969cabdb3c560976f72ff56db664

[ "MIT" ]

null

import time print("db d8b db d88888b db .o88b. .d88b. .88b d88. d88888b ") print("88 I8I 88 88' 88 d8P Y8 .8P Y8. 88'YbdP`88 88' ") print("88 I8I 88 88ooooo 88 8P 88 88 88 88 88 88ooooo ") print("Y8 I8I 88 88~~~~~ 88 8b 88 88 88 88 88 88~~~~~ ") print("`8b d8'8b d8' 88. 88booo. Y8b d8 `8b d8' 88 88 88 88. ") print(" `8b8' `8d8' Y88888P Y88888P `Y88P' `Y88P' YP YP YP Y88888P ") print(" ") time.sleep(.7) print("d888888b .d88b. ") print("`~~88~~' .8P Y8. ") print(" 88 88 88 ") print(" 88 88 88 ") print(" 88 `8b d8' ") print(" YP `Y88P' ") time.sleep(.7) print(" ") print(" ___ ___ ___ ___ ___ ") time.sleep(.1) print(" /\__\ /\ \ /\__\ /\ \ /\__\ ") time.sleep(.1) print(" /::| | /::\ \ /:/ / \:\ \ /:/ _/_ ") time.sleep(.1) print(" /:/:| | /:/\:\ \ /:/ / \:\ \ /:/ /\ \ ") time.sleep(.1) print(" /:/|:| |__ /:/ /::\ \ /:/ / ___ ___ /::\ \ /:/ /::\ \ ") time.sleep(.1) print(" /:/ |:| /\__\ /:/_/:/\:\__\ /:/__/ /\__\ /\ /:/\:\__\ /:/_/:/\:\__\ ") time.sleep(.1) print(" \/__|:|/:/ / \:\/:/ \/__/ \:\ \ /:/ / \:\/:/ \/__/ \:\/:/ /:/ / ") time.sleep(.1) print(" |:/:/ / \::/__/ \:\ /:/ / \::/__/ \::/ /:/ / ") time.sleep(.1) print(" |::/ / \:\ \ \:\/:/ / \:\ \ \/_/:/ / ") time.sleep(.1) print(" |:/ / \:\__\ \::/ / \:\__\ /:/ / ") time.sleep(.1) print(" |/__/ \/__/ \/__/ \/__/ \/__/ ") time.sleep(.7) print(" ") print(" ***** ** *** * *** ** ") time.sleep(.1) print(" ****** * **** * ** *** * **** * * * ** ") time.sleep(.1) print(" ** * * ***** ** *** * * **** *** ** ** ** ") time.sleep(.1) print("* * * * * ** * ** ** * ** ** ** ") time.sleep(.1) print(" * * * *** **** **** **** **** ** * *** ******** ** *** **** *** **** ** ") time.sleep(.1) print(" ** ** * *** **** **** * * *** * * **** * * *** * ****** ** ** *** ******** ** *** *** * **** **** **** * *** ** ") time.sleep(.1) print(" ** ** * * *** ** **** * **** ** **** * **** ***** ** ** *** *** ** ** *** **** * *** * ** **** ********* ") time.sleep(.1) print(" ** ******** * *** ** ** ** **** ** ** ** ** ** **** * ** ** ** ** ** * **** ** ** **** ") time.sleep(.1) print(" ** ** * ** *** ** ** ** *** ** ** ** ** ** * **** ** ** ** ** ** ** ** ** ** ** ") time.sleep(.1) print(" ** ** ** ******** ** ** ** *** ** ** ** ** *** ** ** ** ** ** ** ** ** ** ** ** ") time.sleep(.1) print(" * ** ** ******* ** ** ** *** ** ** ** ** ** * ** ** ** ** ** ** ** ** ** ** ") time.sleep(.1) print(" * ** ** ** ** ** **** ** ** ** ** ** * * ** ** ** ** * ** ** ** ** ** ") time.sleep(.1) print(" **** ** **** * *** ****** * **** * ****** ** *** * ** ** ******* ******* ** ** *** ** ** ") time.sleep(.1) print(" * ***** ** ******* *** **** **** **** ** ******* **** ** ***** ***** ***** ** *** ****** ") time.sleep(.1) print("* ** ***** ** *** *** *** ** *** ") time.sleep(.1) print("* ") time.sleep(.1) print(" ** ") time.sleep(3)

71.243243

191

0.158953

222

5,272

3.459459

0.13964

0.351563

0.528646

0.507813

0.6875

0.609375

0.571615

0

0.083712

0.58308

5,272

74

192

71.243243

0.265696

0

0.486486

0

0.135135

0.831026

0

1

0

true

0

0.013514

0

0.013514

0.581081

0

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

8

a91396127f0162ad5a955c615a8eb0fb8c9e87dd

18

py

Python

test/run/t110.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

2,671

2015-01-03T08:23:25.000Z

2022-03-31T06:15:48.000Z

test/run/t110.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

972

2015-01-05T08:11:00.000Z

2022-03-29T13:47:15.000Z

test/run/t110.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

845

2015-01-03T19:53:36.000Z

2022-03-29T18:34:22.000Z

a = 1,2,3 print a

6

9

0.555556

6

18

1.666667

0.833333

0

0.230769

0.277778

18

2

10

9

0.538462

0

null

0

null

0.5

1

null

0

1

0

1

0

null

0

1

0

1

0

7

a97910f1410de7072f08b4ce88b3b9f7d409da01

258

py

Python

lldb/test/API/repl/subclassing/TestREPLSubclassing.py

LaudateCorpus1/llvm-project

ff2e0f0c1112558b3f30d8afec7c9882c33c79e3

[ "Apache-2.0" ]

765

2015-12-03T16:44:59.000Z

2022-03-07T12:41:10.000Z

lldb/test/API/repl/subclassing/TestREPLSubclassing.py

LaudateCorpus1/llvm-project

ff2e0f0c1112558b3f30d8afec7c9882c33c79e3

[ "Apache-2.0" ]

3,180

2019-10-18T01:21:21.000Z

2022-03-31T23:25:41.000Z

lldb/test/API/repl/subclassing/TestREPLSubclassing.py

LaudateCorpus1/llvm-project

ff2e0f0c1112558b3f30d8afec7c9882c33c79e3

[ "Apache-2.0" ]

284

2015-12-03T16:47:25.000Z

2022-03-12T05:39:48.000Z

import lldbsuite.test.lldbinrepl as lldbinrepl import lldbsuite.test.lldbtest as lldbtest import lldbsuite.test.decorators as decorators lldbinrepl.MakeREPLTest(__file__, globals(), decorators=[decorators.skipIfDarwin, decorators.skipUnlessDarwin])

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7

a97e32f9d31c8335d58ddd695e2ac22857d44456

117

py

Python

gym_yugioh/envs/__init__.py

Synapt1x/gym-yugioh

e413aa29597dd744ef76cc99c038690c6f8810e7

[ "MIT" ]

null

gym_yugioh/envs/__init__.py

Synapt1x/gym-yugioh

e413aa29597dd744ef76cc99c038690c6f8810e7

[ "MIT" ]

null

gym_yugioh/envs/__init__.py

Synapt1x/gym-yugioh

e413aa29597dd744ef76cc99c038690c6f8810e7

[ "MIT" ]

null

from gym_yugioh.envs.yugioh_env import YugiohEnv from gym_yugioh.envs.yugioh_extrahard_env import YugiohExtraHardEnv

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0

7

a9925a1e773433b1cc5211eadd6c7a5a442941b8

116

py

Python

worker/tasks/__init__.py

zhijiahu/gopigo-car

9d03778c3a074426c7fa5877b1f14f5798b70364

[ "MIT" ]

2

2020-07-28T12:09:48.000Z

2020-07-31T23:58:10.000Z

worker/tasks/__init__.py

zhijiahu/gopigo-car

9d03778c3a074426c7fa5877b1f14f5798b70364

[ "MIT" ]

null

worker/tasks/__init__.py

zhijiahu/gopigo-car

9d03778c3a074426c7fa5877b1f14f5798b70364

[ "MIT" ]

null

from .detect_object_yolo import detect as detect_person from .detect_face_haarcascade import detect as detect_face

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8d137ac9e075b1ddcd5cb55504189875c48e4077

11,770

py

Python

venv/lib/python3.8/site-packages/spaceone/api/config/v1/domain_config_pb2_grpc.py

choonho/plugin-prometheus-mon-webhook

afa7d65d12715fd0480fb4f92a9c62da2d6128e0

[ "Apache-2.0" ]

null

venv/lib/python3.8/site-packages/spaceone/api/config/v1/domain_config_pb2_grpc.py

choonho/plugin-prometheus-mon-webhook

afa7d65d12715fd0480fb4f92a9c62da2d6128e0

[ "Apache-2.0" ]

null

venv/lib/python3.8/site-packages/spaceone/api/config/v1/domain_config_pb2_grpc.py

choonho/plugin-prometheus-mon-webhook

afa7d65d12715fd0480fb4f92a9c62da2d6128e0

[ "Apache-2.0" ]

null

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2 from spaceone.api.config.v1 import domain_config_pb2 as spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2 class DomainConfigStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.create = channel.unary_unary( '/spaceone.api.config.v1.DomainConfig/create', request_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.CreateDomainConfigRequest.SerializeToString, response_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.FromString, ) self.update = channel.unary_unary( '/spaceone.api.config.v1.DomainConfig/update', request_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.UpdateDomainConfigRequest.SerializeToString, response_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.FromString, ) self.delete = channel.unary_unary( '/spaceone.api.config.v1.DomainConfig/delete', request_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigRequest.SerializeToString, response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, ) self.get = channel.unary_unary( '/spaceone.api.config.v1.DomainConfig/get', request_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.GetDomainConfigRequest.SerializeToString, response_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.FromString, ) self.list = channel.unary_unary( '/spaceone.api.config.v1.DomainConfig/list', request_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigQuery.SerializeToString, response_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigsInfo.FromString, ) self.stat = channel.unary_unary( '/spaceone.api.config.v1.DomainConfig/stat', request_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigStatQuery.SerializeToString, response_deserializer=google_dot_protobuf_dot_struct__pb2.Struct.FromString, ) class DomainConfigServicer(object): """Missing associated documentation comment in .proto file.""" def create(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def update(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def delete(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def get(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def list(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def stat(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_DomainConfigServicer_to_server(servicer, server): rpc_method_handlers = { 'create': grpc.unary_unary_rpc_method_handler( servicer.create, request_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.CreateDomainConfigRequest.FromString, response_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.SerializeToString, ), 'update': grpc.unary_unary_rpc_method_handler( servicer.update, request_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.UpdateDomainConfigRequest.FromString, response_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.SerializeToString, ), 'delete': grpc.unary_unary_rpc_method_handler( servicer.delete, request_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigRequest.FromString, response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, ), 'get': grpc.unary_unary_rpc_method_handler( servicer.get, request_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.GetDomainConfigRequest.FromString, response_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.SerializeToString, ), 'list': grpc.unary_unary_rpc_method_handler( servicer.list, request_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigQuery.FromString, response_serializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigsInfo.SerializeToString, ), 'stat': grpc.unary_unary_rpc_method_handler( servicer.stat, request_deserializer=spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigStatQuery.FromString, response_serializer=google_dot_protobuf_dot_struct__pb2.Struct.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'spaceone.api.config.v1.DomainConfig', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class DomainConfig(object): """Missing associated documentation comment in .proto file.""" @staticmethod def create(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.config.v1.DomainConfig/create', spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.CreateDomainConfigRequest.SerializeToString, spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def update(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.config.v1.DomainConfig/update', spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.UpdateDomainConfigRequest.SerializeToString, spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def delete(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.config.v1.DomainConfig/delete', spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigRequest.SerializeToString, google_dot_protobuf_dot_empty__pb2.Empty.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def get(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.config.v1.DomainConfig/get', spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.GetDomainConfigRequest.SerializeToString, spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigInfo.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def list(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.config.v1.DomainConfig/list', spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigQuery.SerializeToString, spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigsInfo.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def stat(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.config.v1.DomainConfig/stat', spaceone_dot_api_dot_config_dot_v1_dot_domain__config__pb2.DomainConfigStatQuery.SerializeToString, google_dot_protobuf_dot_struct__pb2.Struct.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

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7

8d2a8930b6afd95c77a5fc2a68fb47f1294066dc

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py

Python

mrl/configs/make_continuous_agents.py

ag8/mrl

f05b00347f88020cbeb216c7e4764a4d2523b67e

[ "MIT" ]

null

mrl/configs/make_continuous_agents.py

ag8/mrl

f05b00347f88020cbeb216c7e4764a4d2523b67e

[ "MIT" ]

null

mrl/configs/make_continuous_agents.py

ag8/mrl

f05b00347f88020cbeb216c7e4764a4d2523b67e

[ "MIT" ]

1

2021-08-12T23:13:03.000Z

from mrl.import_all import * from argparse import Namespace import gym import time def make_ddpg_agent(base_config=default_ddpg_config, args=Namespace(env='InvertedPendulum-v2', tb='', parent_folder='/tmp/mrl', layers=(256, 256), num_envs=None), agent_name_attrs=['env', 'seed', 'tb'], **kwargs): if callable(base_config): # If the base_config parameter is a function, make sure to call it base_config = base_config() config = base_config # Train on as many environments as the CPU allows, # unless specified otherwise. if hasattr(args, 'num_envs') and args.num_envs is None: import multiprocessing as mp args.num_envs = max(mp.cpu_count() - 1, 1) # set the prefix (todo: why?) if not hasattr(args, 'prefix'): args.prefix = 'ddpg' # set whatever this is (todo: why?) if not args.tb: args.tb = str(time.time()) merge_args_into_config(args, config) config.agent_name = make_agent_name(config, agent_name_attrs, prefix=args.prefix) base_modules = { k: v for k, v in dict(module_train=StandardTrain(), module_eval=EpisodicEval(), module_policy=ActorPolicy(), module_logger=Logger(), module_state_normalizer=Normalizer(MeanStdNormalizer()), module_replay=OnlineHERBuffer(), module_action_noise=ContinuousActionNoise(GaussianProcess, std=ConstantSchedule(config.action_noise)), module_algorithm=DDPG()).items() if not k in config } config.update(base_modules) if type(args.env) is str: env = lambda: gym.make(args.env) eval_env = env else: env = args.env eval_env = env if hasattr(args, 'eval_env') and args.eval_env is not None: if type(args.eval_env) is str: eval_env = lambda: gym.make(args.eval_env) else: eval_env = args.eval_env config.module_train_env = EnvModule(env, num_envs=config.num_envs, seed=config.seed) config.module_eval_env = EnvModule(eval_env, num_envs=config.num_eval_envs, name='eval_env', seed=config.seed + 1138) layer_norm = nn.LayerNorm if (hasattr(args, 'layer_norm') and args.layer_norm) else nn.Identity e = config.module_eval_env config.module_actor = PytorchModel( 'actor', lambda: Actor(FCBody(e.state_dim + e.goal_dim, args.layers, layer_norm, make_activ(config.activ)), e.action_dim, e.max_action)) config.module_critic = PytorchModel( 'critic', lambda: Critic( FCBody(e.state_dim + e.goal_dim + e.action_dim, args.layers, layer_norm, make_activ(config.activ)), 1)) if e.goal_env: config.never_done = True # important for standard Gym goal environments, which are never done return config def make_random_agent(base_config=default_ddpg_config, args=Namespace(env='InvertedPendulum-v2', tb='', parent_folder='/tmp/mrl', layers=(256, 256), num_envs=None), agent_name_attrs=['env', 'seed', 'tb'], **kwargs): if callable(base_config): # If the base_config parameter is a function, make sure to call it base_config = base_config() config = base_config # Train on as many environments as the CPU allows, # unless specified otherwise. if hasattr(args, 'num_envs') and args.num_envs is None: import multiprocessing as mp args.num_envs = max(mp.cpu_count() - 1, 1) # set the prefix (todo: why?) if not hasattr(args, 'prefix'): args.prefix = 'random' # set whatever this is (todo: why?) if not args.tb: args.tb = str(time.time()) merge_args_into_config(args, config) config.agent_name = make_agent_name(config, agent_name_attrs, prefix=args.prefix) base_modules = { k: v for k, v in dict(module_train=StandardTrain(), module_eval=EpisodicEval(), module_policy=ActorPolicy(), module_logger=Logger(), module_state_normalizer=Normalizer(MeanStdNormalizer()), module_replay=OnlineHERBuffer(), module_action_noise=ContinuousActionNoise(GaussianProcess, std=ConstantSchedule(config.action_noise)), module_algorithm=DDPG()).items() if not k in config } config.update(base_modules) if type(args.env) is str: env = lambda: gym.make(args.env) eval_env = env else: env = args.env eval_env = env if hasattr(args, 'eval_env') and args.eval_env is not None: if type(args.eval_env) is str: eval_env = lambda: gym.make(args.eval_env) else: eval_env = args.eval_env config.module_train_env = EnvModule(env, num_envs=config.num_envs, seed=config.seed) config.module_eval_env = EnvModule(eval_env, num_envs=config.num_eval_envs, name='eval_env', seed=config.seed + 1138) layer_norm = nn.LayerNorm if (hasattr(args, 'layer_norm') and args.layer_norm) else nn.Identity e = config.module_eval_env config.module_actor = PytorchModel( 'actor', lambda: Actor(FCBody(e.state_dim + e.goal_dim, args.layers, layer_norm, make_activ(config.activ)), e.action_dim, e.max_action)) config.module_critic = PytorchModel( 'critic', lambda: Critic( FCBody(e.state_dim + e.goal_dim + e.action_dim, args.layers, layer_norm, make_activ(config.activ)), 1)) if e.goal_env: config.never_done = True # important for standard Gym goal environments, which are never done return config def make_td3_agent(base_config=spinning_up_td3_config, args=Namespace(env='InvertedPendulum-v2', tb='', prefix='td3', parenFt_folder='/tmp/mrl', layers=(256, 256), num_envs=None), agent_name_attrs=['env', 'seed', 'tb'], **kwargs): config = __ddpg_agent(base_config, args, agent_name_attrs, **kwargs) del config.module_algorithm config.module_algorithm = TD3() layer_norm = nn.LayerNorm if (hasattr(args, 'layer_norm') and args.layer_norm) else nn.Identity e = config.module_eval_env config.module_critic2 = PytorchModel('critic2', lambda: Critic( FCBody(e.state_dim + e.goal_dim + e.action_dim, args.layers, layer_norm, make_activ(config.activ), False), 1, False)) return config def make_sac_agent(base_config=spinning_up_sac_config, args=Namespace(env='InvertedPendulum-v2', tb='', prefix='sac', parent_folder='/tmp/mrl', layers=(256, 256), num_envs=None), agent_name_attrs=['env', 'seed', 'tb'], **kwargs): config = make_ddpg_agent(base_config, args, agent_name_attrs, **kwargs) e = config.module_eval_env layer_norm = nn.LayerNorm if (hasattr(args, 'layer_norm') and args.layer_norm) else nn.Identity del config.module_actor del config.module_action_noise del config.module_policy config.module_policy = StochasticActorPolicy() del config.module_algorithm config.module_algorithm = SAC() config.module_actor = PytorchModel( 'actor', lambda: StochasticActor(FCBody(e.state_dim + e.goal_dim, args.layers, layer_norm, make_activ(config.activ)), e.action_dim, e.max_action, log_std_bounds=(-20, 2))) config.module_critic2 = PytorchModel('critic2', lambda: Critic( FCBody(e.state_dim + e.goal_dim + e.action_dim, args.layers, layer_norm, make_activ(config.activ), False), 1, False)) return config

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0

7

8d4ecae2f759e4fcb8026c3563df4b0b1689761f

226

py

Python

Drawing Shapes using Code (Python Turtle)/hexagon.py

IlmopediaKids/Ilmopedia-Kids-Coding-Courses

dc51baf9894a540fbc858f5f71e178190913712c

[ "BSD-3-Clause" ]

1

2022-01-03T13:25:30.000Z

Drawing Shapes using Code (Python Turtle)/hexagon.py

IlmopediaKids/Ilmopedia-Kids-Coding-Courses

dc51baf9894a540fbc858f5f71e178190913712c

[ "BSD-3-Clause" ]

null

Drawing Shapes using Code (Python Turtle)/hexagon.py

IlmopediaKids/Ilmopedia-Kids-Coding-Courses

dc51baf9894a540fbc858f5f71e178190913712c

[ "BSD-3-Clause" ]

null

import turtle turtle.forward(70) turtle.left(60) turtle.forward(70) turtle.left(60) turtle.forward(70) turtle.left(60) turtle.forward(70) turtle.left(60) turtle.forward(70) turtle.left(60) turtle.forward(70) turtle.left(60)

15.066667

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null

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11

8da673e1a390ec7f8ade5b4705500532a68c4e3f

38,376

py

Python

src/webpubsub/azext_webpubsub/vendored_sdks/azure_messaging_webpubsubservice/rest.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "MIT" ]

207

2017-11-29T06:59:41.000Z

2022-03-31T10:00:53.000Z

src/webpubsub/azext_webpubsub/vendored_sdks/azure_messaging_webpubsubservice/rest.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "MIT" ]

4,061

2017-10-27T23:19:56.000Z

2022-03-31T23:18:30.000Z

src/webpubsub/azext_webpubsub/vendored_sdks/azure_messaging_webpubsubservice/rest.py

haroonf/azure-cli-extensions

61c044d34c224372f186934fa7c9313f1cd3a525

[ "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. # -------------------------------------------------------------------------- # pylint: disable=line-too-long __all__ = [ 'build_add_connection_to_group_request', 'build_add_user_to_group_request', 'build_connection_exists_request', 'build_group_exists_request', 'build_check_permission_request', 'build_user_exists_request', 'build_close_client_connection_request', 'build_grant_permission_request', 'build_healthapi_get_health_status_request', 'build_remove_connection_from_group_request', 'build_remove_user_from_all_groups_request', 'build_remove_user_from_group_request', 'build_revoke_permission_request', 'build_send_to_all_request', 'build_send_to_connection_request', 'build_send_to_group_request', 'build_send_to_user_request' ] from typing import TYPE_CHECKING from msrest import Serializer from azure.core.pipeline.transport._base import _format_url_section from .core.rest import HttpRequest if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from typing import Any, IO, List, Optional, Union, Dict from typing_extensions import Literal Permissions = Union[Literal['joinLeaveGroup'], Literal['sendToGroup']] # pylint: disable=unsubscriptable-object _SERIALIZER = Serializer() def build_healthapi_get_health_status_request( **kwargs # type: Any ): # type: (...) -> HttpRequest """Get service health status. Get service health status. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/health') # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="HEAD", url=url, params=query_parameters, **kwargs ) def build_send_to_all_request( hub, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Broadcast content inside request body to all the connected client connections. Broadcast content inside request body to all the connected client connections. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :keyword json: The payload body. :paramtype json: Any :keyword content: The payload body. :paramtype content: IO :keyword excluded: Excluded connection Ids. :paramtype excluded: list[str] :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest Example: .. code-block:: python # JSON input template you can fill out and use as your `json` input. json = "Any (optional)" """ excluded = kwargs.pop('excluded', None) # type: Optional[List[str]] api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] content_type = kwargs.pop("content_type", None) # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/:send') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if excluded is not None: query_parameters['excluded'] = [_SERIALIZER.query("excluded", q, 'str') if q is not None else '' for q in excluded] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') # Construct headers header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any] if content_type is not None: header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str') return HttpRequest( method="POST", url=url, params=query_parameters, headers=header_parameters, **kwargs ) def build_connection_exists_request( hub, # type: str connection_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Check if the connection with the given connectionId exists. Check if the connection with the given connectionId exists. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param connection_id: The connection Id. :type connection_id: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/connections/{connectionId}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'connectionId': _SERIALIZER.url("connection_id", connection_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="HEAD", url=url, params=query_parameters, **kwargs ) def build_close_client_connection_request( hub, # type: str connection_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Close the client connection. Close the client connection. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param connection_id: Target connection Id. :type connection_id: str :keyword reason: The reason closing the client connection. :paramtype reason: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ reason = kwargs.pop('reason', None) # type: Optional[str] api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/connections/{connectionId}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'connectionId': _SERIALIZER.url("connection_id", connection_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if reason is not None: query_parameters['reason'] = _SERIALIZER.query("reason", reason, 'str') if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="DELETE", url=url, params=query_parameters, **kwargs ) def build_send_to_connection_request( hub, # type: str connection_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Send content inside request body to the specific connection. Send content inside request body to the specific connection. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param connection_id: The connection Id. :type connection_id: str :keyword json: The payload body. :paramtype json: Any :keyword content: The payload body. :paramtype content: IO :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest Example: .. code-block:: python # JSON input template you can fill out and use as your `json` input. json = "Any (optional)" """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] content_type = kwargs.pop("content_type", None) # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/connections/{connectionId}/:send') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'connectionId': _SERIALIZER.url("connection_id", connection_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') # Construct headers header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any] if content_type is not None: header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str') return HttpRequest( method="POST", url=url, params=query_parameters, headers=header_parameters, **kwargs ) def build_group_exists_request( hub, # type: str group, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Check if there are any client connections inside the given group. Check if there are any client connections inside the given group. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param group: Target group name, which length should be greater than 0 and less than 1025. :type group: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/groups/{group}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'group': _SERIALIZER.url("group", group, 'str', max_length=1024, min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="HEAD", url=url, params=query_parameters, **kwargs ) def build_send_to_group_request( hub, # type: str group, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Send content inside request body to a group of connections. Send content inside request body to a group of connections. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param group: Target group name, which length should be greater than 0 and less than 1025. :type group: str :keyword json: The payload body. :paramtype json: Any :keyword content: The payload body. :paramtype content: IO :keyword excluded: Excluded connection Ids. :paramtype excluded: list[str] :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest Example: .. code-block:: python # JSON input template you can fill out and use as your `json` input. json = "Any (optional)" """ excluded = kwargs.pop('excluded', None) # type: Optional[List[str]] api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] content_type = kwargs.pop("content_type", None) # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/groups/{group}/:send') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'group': _SERIALIZER.url("group", group, 'str', max_length=1024, min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if excluded is not None: query_parameters['excluded'] = [_SERIALIZER.query("excluded", q, 'str') if q is not None else '' for q in excluded] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') # Construct headers header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any] if content_type is not None: header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str') return HttpRequest( method="POST", url=url, params=query_parameters, headers=header_parameters, **kwargs ) def build_add_connection_to_group_request( hub, # type: str group, # type: str connection_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Add a connection to the target group. Add a connection to the target group. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param group: Target group name, which length should be greater than 0 and less than 1025. :type group: str :param connection_id: Target connection Id. :type connection_id: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/groups/{group}/connections/{connectionId}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'group': _SERIALIZER.url("group", group, 'str', max_length=1024, min_length=1), 'connectionId': _SERIALIZER.url("connection_id", connection_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="PUT", url=url, params=query_parameters, **kwargs ) def build_remove_connection_from_group_request( hub, # type: str group, # type: str connection_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Remove a connection from the target group. Remove a connection from the target group. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param group: Target group name, which length should be greater than 0 and less than 1025. :type group: str :param connection_id: Target connection Id. :type connection_id: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/groups/{group}/connections/{connectionId}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'group': _SERIALIZER.url("group", group, 'str', max_length=1024, min_length=1), 'connectionId': _SERIALIZER.url("connection_id", connection_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="DELETE", url=url, params=query_parameters, **kwargs ) def build_user_exists_request( hub, # type: str user_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Check if there are any client connections connected for the given user. Check if there are any client connections connected for the given user. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param user_id: Target user Id. :type user_id: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/users/{userId}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'userId': _SERIALIZER.url("user_id", user_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="HEAD", url=url, params=query_parameters, **kwargs ) def build_send_to_user_request( hub, # type: str user_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Send content inside request body to the specific user. Send content inside request body to the specific user. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param user_id: The user Id. :type user_id: str :keyword json: The payload body. :paramtype json: Any :keyword content: The payload body. :paramtype content: IO :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest Example: .. code-block:: python # JSON input template you can fill out and use as your `json` input. json = "Any (optional)" """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] content_type = kwargs.pop("content_type", None) # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/users/{userId}/:send') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'userId': _SERIALIZER.url("user_id", user_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') # Construct headers header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any] if content_type is not None: header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str') return HttpRequest( method="POST", url=url, params=query_parameters, headers=header_parameters, **kwargs ) def build_add_user_to_group_request( hub, # type: str group, # type: str user_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Add a user to the target group. Add a user to the target group. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param group: Target group name, which length should be greater than 0 and less than 1025. :type group: str :param user_id: Target user Id. :type user_id: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/users/{userId}/groups/{group}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'group': _SERIALIZER.url("group", group, 'str', max_length=1024, min_length=1), 'userId': _SERIALIZER.url("user_id", user_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="PUT", url=url, params=query_parameters, **kwargs ) def build_remove_user_from_group_request( hub, # type: str group, # type: str user_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Remove a user from the target group. Remove a user from the target group. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param group: Target group name, which length should be greater than 0 and less than 1025. :type group: str :param user_id: Target user Id. :type user_id: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/users/{userId}/groups/{group}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'group': _SERIALIZER.url("group", group, 'str', max_length=1024, min_length=1), 'userId': _SERIALIZER.url("user_id", user_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="DELETE", url=url, params=query_parameters, **kwargs ) def build_remove_user_from_all_groups_request( hub, # type: str user_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Remove a user from all groups. Remove a user from all groups. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param user_id: Target user Id. :type user_id: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/users/{userId}/groups') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'userId': _SERIALIZER.url("user_id", user_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="DELETE", url=url, params=query_parameters, **kwargs ) def build_grant_permission_request( hub, # type: str permission, # type: Permissions connection_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Grant permission to the connection. Grant permission to the connection. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param permission: The permission: current supported actions are joinLeaveGroup and sendToGroup. :type permission: str or ~Permissions :param connection_id: Target connection Id. :type connection_id: str :keyword target_name: Optional. If not set, grant the permission to all the targets. If set, grant the permission to the specific target. The meaning of the target depends on the specific permission. :paramtype target_name: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ target_name = kwargs.pop('target_name', None) # type: Optional[str] api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/permissions/{permission}/connections/{connectionId}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'permission': _SERIALIZER.url("permission", permission, 'str'), 'connectionId': _SERIALIZER.url("connection_id", connection_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if target_name is not None: query_parameters['targetName'] = _SERIALIZER.query("target_name", target_name, 'str') if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="PUT", url=url, params=query_parameters, **kwargs ) def build_revoke_permission_request( hub, # type: str permission, # type: Permissions connection_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Revoke permission for the connection. Revoke permission for the connection. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param permission: The permission: current supported actions are joinLeaveGroup and sendToGroup. :type permission: str or ~Permissions :param connection_id: Target connection Id. :type connection_id: str :keyword target_name: Optional. If not set, revoke the permission for all targets. If set, revoke the permission for the specific target. The meaning of the target depends on the specific permission. :paramtype target_name: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ target_name = kwargs.pop('target_name', None) # type: Optional[str] api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/permissions/{permission}/connections/{connectionId}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'permission': _SERIALIZER.url("permission", permission, 'str'), 'connectionId': _SERIALIZER.url("connection_id", connection_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if target_name is not None: query_parameters['targetName'] = _SERIALIZER.query("target_name", target_name, 'str') if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="DELETE", url=url, params=query_parameters, **kwargs ) def build_check_permission_request( hub, # type: str permission, # type: Permissions connection_id, # type: str **kwargs # type: Any ): # type: (...) -> HttpRequest """Check if a connection has permission to the specified action. Check if a connection has permission to the specified action. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this request builder into your code flow. :param hub: Target hub name, which should start with alphabetic characters and only contain alpha-numeric characters or underscore. :type hub: str :param permission: The permission: current supported actions are joinLeaveGroup and sendToGroup. :type permission: ~Permissions :param connection_id: Target connection Id. :type connection_id: str :keyword target_name: Optional. If not set, get the permission for all targets. If set, get the permission for the specific target. The meaning of the target depends on the specific permission. :paramtype target_name: str :keyword api_version: Api Version. :paramtype api_version: str :return: Returns an :class:`~azure.messaging.webpubsubservice.core.rest.HttpRequest` that you will pass to the client's `send_request` method. See https://aka.ms/azsdk/python/llcwiki for how to incorporate this response into your code flow. :rtype: ~azure.messaging.webpubsubservice.core.rest.HttpRequest """ target_name = kwargs.pop('target_name', None) # type: Optional[str] api_version = kwargs.pop('api_version', "2021-05-01-preview") # type: Optional[str] # Construct URL url = kwargs.pop("template_url", '/api/hubs/{hub}/permissions/{permission}/connections/{connectionId}') path_format_arguments = { 'hub': _SERIALIZER.url("hub", hub, 'str', pattern=r'^[A-Za-z][A-Za-z0-9_`,.[\]]{0,127}$'), 'permission': _SERIALIZER.url("permission", permission, 'str'), 'connectionId': _SERIALIZER.url("connection_id", connection_id, 'str', min_length=1), } url = _format_url_section(url, **path_format_arguments) # Construct parameters query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] if target_name is not None: query_parameters['targetName'] = _SERIALIZER.query("target_name", target_name, 'str') if api_version is not None: query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') return HttpRequest( method="HEAD", url=url, params=query_parameters, **kwargs )

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5,008

38,376

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1

0

1

0

null

0

7

a5c350d349622433343df766debb1e1d71b98fe4

2,538

py

Python

008.py

zlsun/ProjectEuler

813ec545484924a052f1bd7fd90a4c676eea3bba

[ "MIT" ]

null

008.py

zlsun/ProjectEuler

813ec545484924a052f1bd7fd90a4c676eea3bba

[ "MIT" ]

null

008.py

zlsun/ProjectEuler

813ec545484924a052f1bd7fd90a4c676eea3bba

[ "MIT" ]

null

#-*- encoding: utf-8 -*- """ Largest product in a series The four adjacent digits in the 1000-digit number that have the greatest product are 9 × 9 × 8 × 9 = 5832. 73167176531330624919225119674426574742355349194934 96983520312774506326239578318016984801869478851843 85861560789112949495459501737958331952853208805511 12540698747158523863050715693290963295227443043557 66896648950445244523161731856403098711121722383113 62229893423380308135336276614282806444486645238749 30358907296290491560440772390713810515859307960866 70172427121883998797908792274921901699720888093776 65727333001053367881220235421809751254540594752243 52584907711670556013604839586446706324415722155397 53697817977846174064955149290862569321978468622482 83972241375657056057490261407972968652414535100474 82166370484403199890008895243450658541227588666881 16427171479924442928230863465674813919123162824586 17866458359124566529476545682848912883142607690042 24219022671055626321111109370544217506941658960408 07198403850962455444362981230987879927244284909188 84580156166097919133875499200524063689912560717606 05886116467109405077541002256983155200055935729725 71636269561882670428252483600823257530420752963450 Find the thirteen adjacent digits in the 1000-digit number that have the greatest product. What is the value of this product? """ N = """ 73167176531330624919225119674426574742355349194934 96983520312774506326239578318016984801869478851843 85861560789112949495459501737958331952853208805511 12540698747158523863050715693290963295227443043557 66896648950445244523161731856403098711121722383113 62229893423380308135336276614282806444486645238749 30358907296290491560440772390713810515859307960866 70172427121883998797908792274921901699720888093776 65727333001053367881220235421809751254540594752243 52584907711670556013604839586446706324415722155397 53697817977846174064955149290862569321978468622482 83972241375657056057490261407972968652414535100474 82166370484403199890008895243450658541227588666881 16427171479924442928230863465674813919123162824586 17866458359124566529476545682848912883142607690042 24219022671055626321111109370544217506941658960408 07198403850962455444362981230987879927244284909188 84580156166097919133875499200524063689912560717606 05886116467109405077541002256983155200055935729725 71636269561882670428252483600823257530420752963450 """.replace('\n', '') from utils import * l = len(N) print max(product(map(int, N[i:i + 13])) for i in range(l - 13)) # 23514624000

43.016949

126

0.904255

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2,538

19.474576

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0

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0.072498

2,538

58

127

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1

0

1

null

0

1

0

12

5735da40651626085cbd1ec0e3799e645ad28990

136

py

Python

engine/gl/__init__.py

alexcher-im/sgemu

e85c6834b1057a27ba5c41c357c0de2336a12e2e

[ "Zlib" ]

5

2020-10-24T12:39:52.000Z

2021-04-04T22:47:44.000Z

engine/gl/__init__.py

alexcher-im/sgemu

e85c6834b1057a27ba5c41c357c0de2336a12e2e

[ "Zlib" ]

null

engine/gl/__init__.py

alexcher-im/sgemu

e85c6834b1057a27ba5c41c357c0de2336a12e2e

[ "Zlib" ]

null

from .base import * from .mesh import * from .shader import * from .shader_buffer import * from .texture import * from .window import *

19.428571

28

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19

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0.421053

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0

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136

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1

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true

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null

1

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1

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null

0

1

0

1

0

1

0

7

9e07255568706c6ae0b2efb91fb074e108ee6cfd

2,898

py

Python

isiscb/isisdata/migrations/0050_auto_20161024_1447.py

bgopalachary/IsisCB

c28e3f504eea60ebeff38318d8bb2071abb28ebb

[ "MIT" ]

4

2016-01-25T20:35:33.000Z

2020-04-07T15:39:52.000Z

isiscb/isisdata/migrations/0050_auto_20161024_1447.py

bgopalachary/IsisCB

c28e3f504eea60ebeff38318d8bb2071abb28ebb

[ "MIT" ]

41

2015-08-19T17:34:41.000Z

2022-03-11T23:19:01.000Z

isiscb/isisdata/migrations/0050_auto_20161024_1447.py

bgopalachary/IsisCB

c28e3f504eea60ebeff38318d8bb2071abb28ebb

[ "MIT" ]

2

2020-11-25T20:18:18.000Z

2021-06-24T15:15:41.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('isisdata', '0049_auto_20160901_1408'), ] operations = [ migrations.AlterField( model_name='authority', name='classification_system', field=models.CharField(default=b'SPWC', choices=[(b'SPWT', b'Weldon Thesaurus Terms (2002-present)'), (b'SPWC', b'Weldon Classification System (2002-present)'), (b'GUE', b'Guerlac Committee Classification System (1953-2001)'), (b'NEU', b'Neu'), (b'MW', b'Whitrow Classification System (1913-1999)'), (b'SHOT', b'SHOT Thesaurus Terms'), (b'FHSA', b'Forum for the History of Science in America'), (b'SAC', b'Search App Concept'), (b'PN', b'Proper name')], max_length=4, blank=True, help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', null=True), ), migrations.AlterField( model_name='historicalauthority', name='classification_system', field=models.CharField(default=b'SPWC', choices=[(b'SPWT', b'Weldon Thesaurus Terms (2002-present)'), (b'SPWC', b'Weldon Classification System (2002-present)'), (b'GUE', b'Guerlac Committee Classification System (1953-2001)'), (b'NEU', b'Neu'), (b'MW', b'Whitrow Classification System (1913-1999)'), (b'SHOT', b'SHOT Thesaurus Terms'), (b'FHSA', b'Forum for the History of Science in America'), (b'SAC', b'Search App Concept'), (b'PN', b'Proper name')], max_length=4, blank=True, help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', null=True), ), migrations.AlterField( model_name='historicalperson', name='classification_system', field=models.CharField(default=b'SPWC', choices=[(b'SPWT', b'Weldon Thesaurus Terms (2002-present)'), (b'SPWC', b'Weldon Classification System (2002-present)'), (b'GUE', b'Guerlac Committee Classification System (1953-2001)'), (b'NEU', b'Neu'), (b'MW', b'Whitrow Classification System (1913-1999)'), (b'SHOT', b'SHOT Thesaurus Terms'), (b'FHSA', b'Forum for the History of Science in America'), (b'SAC', b'Search App Concept'), (b'PN', b'Proper name')], max_length=4, blank=True, help_text=b'Specifies the classification system that is the source of the authority. Used to group resources by the Classification system. The system used currently is the Weldon System. All the other ones are for reference or archival purposes only.', null=True), ), ]

96.6

756

0.699793

409

2,898

4.909535

0.229829

0.179283

0.035857

0.043327

0.88496

0

0.038017

0.164941

2,898

29

757

99.931034

0.791736

0.007246

0

0.521739

0

0.130435

0.609391

0.029913

0

1

0

false

0

0.086957

0

0.217391

0

null

0

1

0

1

0

null

0

7

f52d9c0c076e44eb0a4e2208bb1518fdaa5855b7

18,296

py

Python

test_main.py

kirubasankars/kdb3

5f9fea1bae5093086692bb9565d57286884ff5fb

[ "Apache-2.0" ]

6

2020-01-24T01:03:44.000Z

2021-11-06T22:16:21.000Z

test_main.py

kirubasankars/kdb3

5f9fea1bae5093086692bb9565d57286884ff5fb

[ "Apache-2.0" ]

2

2020-11-29T02:37:10.000Z

2021-11-10T22:50:56.000Z

test_main.py

kirubasankars/kdb3

5f9fea1bae5093086692bb9565d57286884ff5fb

[ "Apache-2.0" ]

1

2020-01-13T19:21:09.000Z

import random import requests DBHOST = "http://localhost:8001" DBNAME = "testdb" def test_info(): r = requests.get("{}".format(DBHOST)) assert r.status_code == 200, "status code should be 200" def delete_database(): requests.delete("{}/{}".format(DBHOST, DBNAME)) def test_create_database(): delete_database() r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 r = requests.get("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 200 rs = r.json() assert rs["doc_count"] == 1 assert rs["deleted_doc_count"] == 0 assert rs["name"] == DBNAME assert len(rs["update_seq"]) == 138 r = requests.get("{}/_cat/dbs".format(DBHOST)) assert DBNAME in r.json(), "Failed: get created database" r = requests.get("{}/{}/_design/_views".format(DBHOST, DBNAME)) assert r.status_code == 200 delete_database() def test_create_database_with_invalid_name(): DBNAME = "$3213324" r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 400, "Failed: expecting bad request" r = requests.get("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 404, "Failed: expecting not found" r = requests.get("{}/_cat/dbs".format(DBHOST)) assert DBNAME not in r.json(), "Failed: expecting not found" def test_create_database_exists(): delete_database() r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201, "Failed: create database" r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 412, "Failed: expecting database already exists" delete_database() def test_delete_database(): delete_database() r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201, "Failed: create database" r = requests.delete("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 200, "Failed: delete database" r = requests.get("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 404, "Failed: delete database" r = requests.get("{}/_cat/dbs".format(DBHOST)) assert DBNAME not in r.json(), "Failed: expecting not found" delete_database() def test_single_insert_documents(): delete_database() seed_data = [] for x in range(12): x = x + 1 if x < 6: seed_data.append({"_id": x, "foo": "bar"}) else: seed_data.append({"foo": "bar"}) r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 for seed in seed_data: r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert "_id" in rs assert "_rev" in rs seed["_id"] = rs["_id"] seed["_rev"] = rs["_rev"] for seed in seed_data: r = requests.get("{}/{}/{}".format(DBHOST, DBNAME, seed["_id"]), headers={"Content-Type": "application/json"}) assert r.status_code == 200 assert r.json()["_rev"][:2] == "1-" r = requests.get("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 200 rs = r.json() assert rs["doc_count"] == 13 assert rs["deleted_doc_count"] == 0 delete_database() def test_single_insert_invalid_documents(): delete_database() r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 r = requests.post("{}/{}".format(DBHOST, DBNAME), json={}, headers={"Content-Type": "application/json"}) assert r.status_code == 200 _id = r.json()["_id"] r = requests.put("{}/{}/{}".format(DBHOST, DBNAME, _id), json=[], headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.post("{}/{}".format(DBHOST, DBNAME), json=[], headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.post("{}/{}".format(DBHOST, DBNAME), json={"_rev":"1-dfasdfsfsdfsdfasdfasfdsadfsdf"}, headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.put("{}/{}/{}".format(DBHOST, DBNAME, _id), json={"_rev": "1-dfasdfsfsdfsdfasdfasfdsadfsdf"}, headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.post("{}/{}".format(DBHOST, DBNAME), json={"_deleted": True}, headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.put("{}/{}/{}".format(DBHOST, DBNAME, _id), json={"deleted": True}, headers={"Content-Type": "application/json"}) assert r.status_code == 409 delete_database() def test_conflict_single_insert_update_delete_documents(): delete_database() seed = {"foo": "bar"} r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) rs = r.json() assert r.status_code == 200 assert "_id" in rs assert "_rev" in rs assert rs["_rev"][:2] == "1-" _id = rs["_id"] _rev1 = rs["_rev"] seed["_id"] = _id r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 409 r = requests.put("{}/{}/{}".format(DBHOST, DBNAME, _id), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 409 seed["_rev"] = _rev1 r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert rs["_rev"][:2] == "2-" _rev2 = rs["_rev"] seed["_rev"] = _rev2 r = requests.put("{}/{}/{}".format(DBHOST, DBNAME, _id), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert rs["_rev"][:2] == "3-" _rev3 = rs["_rev"] seed["_rev"] = _rev3 r = requests.delete("{}/{}/{}?rev={}".format(DBHOST, DBNAME, _id, _rev2)) assert r.status_code == 409 r = requests.delete("{}/{}/{}?rev={}".format(DBHOST, DBNAME, _id, _rev3)) assert r.status_code == 200 r = requests.delete("{}/{}/{}?rev={}".format(DBHOST, DBNAME, _id, _rev3)) assert r.status_code == 409 #delete and insert r = requests.post("{}/{}".format(DBHOST, DBNAME), json={"_id": _id}) assert r.status_code == 200 assert r.json()['_rev'][:2] == "5-" delete_database() def test_single_update_documents(): delete_database() seed_data = [] for x in range(12): x = x + 1 if x < 6: seed_data.append({"_id": x, "foo": "bar"}) else: seed_data.append({"foo": "bar"}) r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 # creating for seed in seed_data: r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert "_id" in rs assert "_rev" in rs seed["_id"] = rs["_id"] seed["_rev"] = rs["_rev"] # get for seed in seed_data: r = requests.get("{}/{}/{}".format(DBHOST, DBNAME, seed["_id"]), headers={"Content-Type": "application/json"}) rs = r.json() assert r.status_code == 200 assert rs["_rev"][0] == "1", "failed, Expecting version number 1" # update for seed in seed_data: r = requests.post("{}/{}".format(DBHOST, DBNAME), headers={"Content-Type": "application/json"}, json=seed) assert r.status_code == 200 rs = r.json() assert "_id" in rs assert "_rev" in rs seed["_id"] = rs["_id"] seed["_rev"] = rs["_rev"] # get for seed in seed_data: r = requests.get("{}/{}/{}".format(DBHOST, DBNAME, seed["_id"]), headers={"Content-Type": "application/json"}) rs = r.json() assert r.status_code == 200 assert rs["_rev"][0] == "2", "failed, Expecting version number 2" # update for seed in seed_data: r = requests.put("{}/{}/{}".format(DBHOST, DBNAME, seed["_id"]), headers={"Content-Type": "application/json"}, json=seed) assert r.status_code == 200 # get for seed in seed_data: r = requests.get("{}/{}/{}".format(DBHOST, DBNAME, seed["_id"]), headers={"Content-Type": "application/json"}) rs = r.json() assert r.status_code == 200 assert rs["_rev"][0] == "3", "failed, Expecting version number 2" delete_database() def test_single_delete_documents(): delete_database() seed_data = [] for x in range(12): x = x + 1 if x < 6: seed_data.append({"_id": x, "foo": "bar"}) else: seed_data.append({"foo": "bar"}) r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 for seed in seed_data: r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert "_id" in rs assert "_rev" in rs seed["_id"] = rs["_id"] seed["_rev"] = rs["_rev"] for seed in seed_data[:6]: r = requests.delete("{}/{}/{}?rev={}".format(DBHOST, DBNAME, seed["_id"], seed["_rev"]), headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert "_id" in rs assert "_rev" in rs seed["_id"] = rs["_id"] seed["_rev"] = rs["_rev"] seed = seed_data[6] seed["_deleted"] = True r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 for seed in seed_data[:7]: r = requests.get("{}/{}/{}".format(DBHOST, DBNAME, seed["_id"]), headers={"Content-Type": "application/json"}) assert r.status_code == 404 r = requests.get("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 200 rs = r.json() assert rs["doc_count"] == 6 assert rs["deleted_doc_count"] == 7 delete_database() def test_bulk_insert_documents(): delete_database() seed_data = [] for x in range(12): x = x + 1 if x < 6: seed_data.append({"_id": x, "foo": "bar"}) else: seed_data.append({"foo": "bar"}) r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 r = requests.post("{}/{}/_bulk_docs".format(DBHOST, DBNAME), json={"_docs": seed_data}, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() for i in range(len(seed_data)): seed_data[i]["_id"] = rs[i]["_id"] seed_data[i]["_rev"] = rs[i]["_rev"] r = requests.get("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 200 rs = r.json() assert rs["doc_count"] == 13 assert rs["deleted_doc_count"] == 0 r = requests.post("{}/{}/_bulk_docs".format(DBHOST, DBNAME), json=[], headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.post("{}/{}/_bulk_docs".format(DBHOST, DBNAME), json={}, headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.post("{}/{}/_bulk_docs".format(DBHOST, DBNAME), json={"_docs":[]}, headers={"Content-Type": "application/json"}) assert r.status_code == 400 seed = seed_data.pop() del seed["_rev"] r = requests.post("{}/{}/_bulk_docs".format(DBHOST, DBNAME), json={"_docs":[{}, {"_id": "with_id"}, {"_rev": "1"}, seed , seed_data.pop(), seed_data.pop()]}, headers={"Content-Type": "application/json"}) rs = r.json() assert r.status_code == 200 assert len(rs) == 6 assert rs[0]["_rev"][0] == "1" assert rs[1]["_rev"][0] == "1" assert rs[4]["_rev"][0] == "2" assert rs[5]["_rev"][0] == "2" assert rs[1]["_id"] == "with_id" assert rs[2]["error"] == "invalid_rev_id" assert rs[3]["error"] == "doc_conflict" delete_database() def test_bulk_get_documents(): delete_database() seed_data = [] for x in range(12): x = x + 1 if x < 6: seed_data.append({"_id": x, "foo": "bar"}) else: seed_data.append({"foo": "bar"}) r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 for seed in seed_data: r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert "_id" in rs assert "_rev" in rs seed["_id"] = rs["_id"] seed["_rev"] = rs["_rev"] r = requests.get("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 200 rs = r.json() assert rs["doc_count"] == 13 assert rs["deleted_doc_count"] == 0 req_data = {"_docs": [{"_id": x["_id"]} for x in seed_data] } r = requests.post("{}/{}/_bulk_gets".format(DBHOST, DBNAME), json=req_data, headers={"Content-Type": "application/json"}) assert r.status_code == 200 assert len(r.json()) == 12 r = requests.post("{}/{}/_bulk_gets".format(DBHOST, DBNAME), json=[], headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.post("{}/{}/_bulk_gets".format(DBHOST, DBNAME), json={}, headers={"Content-Type": "application/json"}) assert r.status_code == 400 r = requests.post("{}/{}/_bulk_gets".format(DBHOST, DBNAME), json={"_docs":[]}, headers={"Content-Type": "application/json"}) assert r.status_code == 400 req_data_1 = [req_data["_docs"].pop(), req_data["_docs"].pop(), {"_id": "4234"}] item = req_data["_docs"].pop() item["_rev"] = "1-34234234" req_data_1.append(item) item = req_data["_docs"].pop() item["_rev"] = "1-12345678123456781234567812345678" req_data_1.append(item) r = requests.post("{}/{}/_bulk_gets".format(DBHOST, DBNAME), json={"_docs": req_data_1}, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert len(rs) == 5 assert rs[0]["_rev"][:2] == "1-" assert rs[1]["_rev"][:2] == "1-" assert rs[2]["error"] == "doc_not_found" assert rs[3]["error"] == "invalid_rev_id" assert rs[4]["error"] == "doc_not_found" delete_database() def test_get_all_docs(): delete_database() seed_data = [] for x in range(12): x = x + 1 if x < 6: seed_data.append({"_id": x, "foo": "bar"}) else: seed_data.append({"foo": "bar"}) r = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 201 for seed in seed_data: r = requests.post("{}/{}".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert "_id" in rs assert "_rev" in rs seed["_id"] = rs["_id"] seed["_rev"] = rs["_rev"] r = requests.get("{}/{}".format(DBHOST, DBNAME)) assert r.status_code == 200 rs = r.json() assert rs["doc_count"] == 13 assert rs["deleted_doc_count"] == 0 r = requests.get("{}/{}/_all_docs".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert len(rs["rows"]) == 10 assert rs["total_rows"] == 13 assert rs["offset"] == 1 r = requests.get("{}/{}/_all_docs?page=1".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert len(rs["rows"]) == 10 assert rs["total_rows"] == 13 assert rs["offset"] == 1 r = requests.get("{}/{}/_all_docs?page=2".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert len(rs["rows"]) == 3 assert rs["total_rows"] == 13 assert rs["offset"] == 11 r = requests.get("{}/{}/_all_docs?page=1&limit=13".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert len(rs["rows"]) == 13 assert rs["total_rows"] == 13 assert rs["offset"] == 1 r = requests.get("{}/{}/_all_docs?limit=13".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert len(rs["rows"]) == 13 assert rs["total_rows"] == 13 assert rs["offset"] == 1 items = {item["id"]: item for item in rs["rows"]} for seed in seed_data: assert seed["_id"] in items assert "_design/_views" in items r = requests.post("{}/{}".format(DBHOST, DBNAME), json={}, headers={"Content-Type": "application/json"}) assert r.status_code == 200 r = requests.get("{}/{}/_all_docs?limit=13".format(DBHOST, DBNAME), json=seed, headers={"Content-Type": "application/json"}) assert r.status_code == 200 rs = r.json() assert len(rs["rows"]) == 13 assert rs["total_rows"] == 14 assert rs["offset"] == 1 delete_database() def test_curd_design_docs(): delete_database() r1 = requests.put("{}/{}".format(DBHOST, DBNAME)) assert r1.status_code == 201 r2 = requests.get("{}/{}/_design/_views".format(DBHOST, DBNAME)) assert r2.status_code == 200 r3 = requests.put("{}/{}/_design/_views".format(DBHOST, DBNAME), json=r2.json(), headers={"Content-Type": "application/json"}) assert r3.status_code == 200 assert r3.json()["_rev"][:2] == "2-" r3 = requests.post("{}/{}".format(DBHOST, DBNAME), json=r3.json(), headers={"Content-Type": "application/json"}) assert r3.status_code == 200 assert r3.json()["_rev"][:2] == "3-" delete_database() # design docs CURD # changes api

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Python

stochastic_gater.py

jfsantos/ift6266h14

1f36c7594cd015a6f3509e6022afc12eb622aa0f

[ "MIT" ]

8

2015-06-27T08:46:51.000Z

2021-10-08T13:39:18.000Z

stochastic_gater.py

jfsantos/ift6266h14

1f36c7594cd015a6f3509e6022afc12eb622aa0f

[ "MIT" ]

null

stochastic_gater.py

jfsantos/ift6266h14

1f36c7594cd015a6f3509e6022afc12eb622aa0f

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Feb 13 19:56:19 2013 @author: Nicholas Léonard """ import time, sys from pylearn2.utils import serial from itertools import izip from pylearn2.utils import safe_zip from collections import OrderedDict from pylearn2.utils import safe_union import numpy as np import theano.sparse as S from theano.gof.op import get_debug_values from theano.printing import Print from theano import function from theano import config from theano.sandbox.rng_mrg import MRG_RandomStreams from theano import tensor as T import theano from pylearn2.linear.matrixmul import MatrixMul from pylearn2.models.model import Model from pylearn2.utils import sharedX from pylearn2.costs.cost import Cost from pylearn2.costs.mlp import Default from pylearn2.models.mlp import MLP, Softmax, Layer, Linear from pylearn2.space import VectorSpace, Conv2DSpace, CompositeSpace, Space #from pylearn2_objects import MLPCost class Stochastic1Cost(Default): def get_gradients(self, model, data, ** kwargs): """ model: a pylearn2 Model instance X: a batch in model.get_input_space() Y: a batch in model.get_output_space() returns: gradients, updates gradients: a dictionary mapping from the model's parameters to their gradients The default implementation is to compute the gradients using T.grad applied to the value returned by __call__. However, subclasses may return other values for the gradient. For example, an intractable cost may return a sampling-based approximation to its gradient. updates: a dictionary mapping shared variables to updates that must be applied to them each time these gradients are computed. This is to facilitate computation of sampling-based approximate gradients. The parameters should never appear in the updates dictionary. This would imply that computing their gradient changes their value, thus making the gradient value outdated. """ try: cost = self.expr(model=model, data=data, **kwargs) except TypeError,e: # If anybody knows how to add type(seslf) to the exception message # but still preserve the stack trace, please do so # The current code does neither e.message += " while calling "+str(type(self))+".__call__" print str(type(self)) print e.message raise e if cost is None: raise NotImplementedError(str(type(self))+" represents an intractable " " cost and does not provide a gradient approximation scheme.") layers = model.layers params = [self.z] grads = T.grad(cost, params, disconnected_inputs = 'raise', consider_constant=model.get_params()) known_grads = OrderedDict(izip(params, grads)) rupdates = OrderedDict() rgradients = OrderedDict() '''In reverse order, get gradients one layer at a time.''' for layer in reversed(layers): gradients, updates \ = layer.get_gradients(known_grads.copy(), cost) known_grads.update(gradients) rupdates.update(updates) rgradients.update(gradients) '''print len(rgradients), len(rupdates), len(known_grads) for param in model.get_params(): print param.name print 'grads' for (param, grad) in rgradients.iteritems(): print param.name, grad''' return rgradients, rupdates def get_test_cost(self, model, X, Y): state_below = X for layer in model.layers: if hasattr(layer, 'test_fprop'): state_below = layer.test_fprop(state_below) else: state_below = layer.fprop(state_below) y = state_below MCE = T.mean(T.cast(T.neq(T.argmax(y, axis=1), T.argmax(Y, axis=1)), dtype='int32'), dtype=config.floatX) return MCE class StochasticBinaryNeuron(Layer): """ Formerly Stochastic2 Stochastic Binary Neuron A linear layer for the continus part, and two layers with stochastic outputs and non-linear hidden units that generates a binary mask for the outputs of the continus parts. """ def __init__(self, dim, hidden_dim, layer_name, mean_loss_coeff = 0.5, hidden_activation = 'tanh', sparsity_target = 0.1, sparsity_cost_coeff = 1.0, stoch_grad_coeff = 0.01, linear_activation = None, irange = [None,None,None], istdev = [None,None,None], sparse_init = [None,None,None], sparse_stdev = [1.,1.,1.], init_bias = [0.,0.,0.], W_lr_scale = [None,None,None], b_lr_scale = [None,None,None], max_col_norm = [None,None,None], weight_decay_coeff = [None,None,None]): ''' params ------ dim: number of units on output layer hidden_dim: number of units on hidden layer of non-linear part mean_loss_coeff: weight of the past moving averages in calculating the moving average vs the weight of the average of the current batch. hidden_activation: activation function used on hidden layer of non-linear part sparsity_target: target sparsity of the output layer. sparsity_cost_coeff: coefficient of the sparsity constraint when summing costs weight_decay_coeff: coefficients of L2 weight decay when summing costs other: in the lists of params, the first index is for the linear part, while the second and third indices are for the first and second layer of the non-linear part, respectively ''' self.__dict__.update(locals()) del self.self def get_lr_scalers(self): rval = OrderedDict() for i in range(3): if self.W_lr_scale[i] is not None: rval[self.W[i]] = self.W_lr_scale[i] if self.b_lr_scale[i] is not None: rval[self.b[i]] = self.b_lr_scale[i] return rval def set_input_space(self, space): self.input_space = space if isinstance(space, VectorSpace): self.requires_reformat = False self.input_dim = space.dim else: self.requires_reformat = True self.input_dim = space.get_total_dimension() self.desired_space = VectorSpace(self.input_dim) self.output_space = VectorSpace(self.dim) self.input_dims = [self.input_dim, self.input_dim, self.hidden_dim] self.output_dims = [self.dim, self.hidden_dim, self.dim] self.W = [None,None,None] self.b = [None,None,None] for i in range(3): self._init_inner_layer(i) e = 1e-6 self.mean_loss_deno = sharedX(e+np.zeros((self.output_dims[0],))) self.mean_loss_nume = sharedX(e+np.zeros((self.output_dims[0],))) self.stoch_grad = sharedX(0) self.kl_grad = sharedX(0) self.linear_grad = sharedX(0) def _init_inner_layer(self, idx): rng = self.mlp.rng if self.irange[idx] is not None: assert self.istdev[idx] is None assert self.sparse_init[idx] is None W = rng.uniform(-self.irange[idx], self.irange[idx], (self.input_dims[idx], self.output_dims[idx])) elif self.istdev[idx] is not None: assert self.sparse_init[idx] is None W = rng.randn(self.input_dims[idx], self.output_dims[idx]) \ * self.istdev[idx] else: assert self.sparse_init[idx] is not None W = np.zeros((self.input_dims[idx], self.output_dims[idx])) for i in xrange(self.output_dims[idx]): assert self.sparse_init[idx] <= self.input_dims[idx] for j in xrange(self.sparse_init[idx]): idx2 = rng.randint(0, self.input_dims[idx]) while W[idx2, i] != 0: idx2 = rng.randint(0, self.input_dims[idx]) W[idx2, i] = rng.randn() W *= self.sparse_stdev[idx] W = sharedX(W) W.name = self.layer_name + '_W' + str(idx) b = sharedX( np.zeros((self.output_dims[idx],)) \ + self.init_bias[idx], \ name = self.layer_name + '_b' + str(idx)) self.W[idx] = W self.b[idx] = b def censor_updates(self, updates): for idx in range(3): if self.max_col_norm[idx] is not None: W = self.W[idx] if W in updates: updated_W = updates[W] col_norms = T.sqrt(T.sum(T.sqr(updated_W), axis=0)) desired_norms = T.clip(col_norms, 0, self.max_col_norm[idx]) updates[W] = updated_W * desired_norms / (1e-7 + col_norms) def get_params(self): rval = [self.W[0], self.W[1], self.W[2], self.b[0], self.b[1], self.b[2]] return rval def get_weights(self): rval = [] for i in range(3): W = self.W[i] rval.append(W.get_value()) return rval def set_weights(self, weights): for i in range(3): W = self.W[i] W.set_value(weights[i]) def set_biases(self, biases): for i in range(3): self.b[i].set_value(biases[i]) def get_biases(self): rval = [] for i in range(3): rval.append(self.b[i].get_value()) return rval def get_weights_format(self): return ('v', 'h') def get_weights_topo(self): raise NotImplementedError() def get_monitoring_channels(self): rval = OrderedDict([ ('mean_loss_nume_mean', self.mean_loss_nume.mean()), ('mean_loss_deno_mean', self.mean_loss_deno.mean()), ]) rval['stoch_grad'] = self.stoch_grad rval['kl_grad'] = self.kl_grad rval['linear_grad'] = self.linear_grad for i in range(3): sq_W = T.sqr(self.W[i]) row_norms = T.sqrt(sq_W.sum(axis=1)) col_norms = T.sqrt(sq_W.sum(axis=0)) rval['row_norms_max'+str(i)] = row_norms.max() rval['col_norms_max'+str(i)] = col_norms.max() return rval def get_monitoring_channels_from_state(self, state, target=None): rval = OrderedDict() # sparisty of outputs: rval['mean_output_sparsity'] = self.m_mean.mean() # proportion of sigmoids that have prob > 0.5 # good when equal to sparsity floatX = theano.config.floatX rval['mean_sparsity_prop'] \ = T.cast(T.gt(self.m_mean, 0.5),floatX).mean() # same as above but for intermediate thresholds: rval['mean_sparsity_prop0.2'] \ = T.cast(T.gt(self.m_mean, 0.2),floatX).mean() rval['mean_sparsity_prop0.3'] \ = T.cast(T.gt(self.m_mean, 0.3),floatX).mean() rval['mean_sparsity_prop0.4'] \ = T.cast(T.gt(self.m_mean, 0.4),floatX).mean() # or just plain standard deviation (less is bad): rval['output_stdev'] = self.m_mean.std() # stdev of unit stdevs (more is bad) rval['output_meta_stdev'] = self.m_mean.std(axis=0).std() # max and min proportion of these probs per unit prop_per_unit = T.cast(T.gt(self.m_mean, 0.5),floatX).mean(0) # if this is high, it means a unit is likely always active (bad) rval['max_unit_sparsity_prop'] = prop_per_unit.max() rval['min_unit_sparsity_prop'] = prop_per_unit.min() # in both cases, high means units are popular (bad) # proportion of units with p>0.5 more than 50% of time: rval['mean_unit_sparsity_meta_prop'] \ = T.cast(T.gt(prop_per_unit,0.5),floatX).mean() # proportion of units with p>0.5 more than 75% of time: rval['mean_unit_sparsity_meta_prop2'] \ = T.cast(T.gt(prop_per_unit,0.75),floatX).mean() return rval def fprop(self, state_below, threshold=None, stochastic=True): self.input_space.validate(state_below) if self.requires_reformat: if not isinstance(state_below, tuple): for sb in get_debug_values(state_below): if sb.shape[0] != self.dbm.batch_size: raise ValueError("self.dbm.batch_size is %d but got shape of %d" % (self.dbm.batch_size, sb.shape[0])) assert reduce(lambda x,y: x * y, sb.shape[1:]) == self.input_dim state_below = self.input_space.format_as(state_below, self.desired_space) self.x = state_below # linear part if isinstance(self.x, S.SparseVariable): z = S.dot(self.x,self.W[0]) + self.b[0] else: z = T.dot(self.x,self.W[0]) + self.b[0] self.output_activation = None # activate hidden units of non-linear part if self.output_activation is None: self.z = z elif self.hidden_activation == 'tanh': self.z = T.tanh(z) elif self.output_activation == 'sigmoid': self.z = T.nnet.sigmoid(z) elif self.output_activation == 'softmax': self.z = T.nnet.softmax(z) elif self.output_activation == 'rectifiedlinear': self.z = T.maximum(0, z) else: raise NotImplementedError() # first layer non-linear part if isinstance(self.x, S.SparseVariable): h = S.dot(self.x,self.W[1]) + self.b[1] else: h = T.dot(self.x,self.W[1]) + self.b[1] # activate hidden units of non-linear part if self.hidden_activation is None: self.h = h elif self.hidden_activation == 'tanh': self.h = T.tanh(h) elif self.hidden_activation == 'sigmoid': self.h = T.nnet.sigmoid(h) elif self.hidden_activation == 'softmax': self.h = T.nnet.softmax(h) elif self.hidden_activation == 'rectifiedlinear': self.h = T.maximum(0, h) else: raise NotImplementedError() # second layer non-linear part self.a = T.dot(self.h,self.W[2]) + self.b[2] # activate non-linear part to get bernouilli probabilities self.m_mean = T.nnet.sigmoid(self.a) if threshold is None: if stochastic: # sample from bernouili probs to generate a mask rng = MRG_RandomStreams(self.mlp.rng.randint(2**15)) self.m = rng.binomial(size = self.m_mean.shape, n = 1, p = self.m_mean, dtype=self.m_mean.type.dtype) else: self.m = self.m_mean else: # deterministic mask: self.m = T.cast(T.gt(self.m_mean, threshold), \ theano.config.floatX) # mask output of linear part with samples from linear part self.p = self.m * self.z if self.layer_name is not None: self.z.name = self.layer_name + '_z' self.h.name = self.layer_name + '_h' self.a.name = self.layer_name + '_a' self.m_mean.name = self.layer_name + '_m_mean' self.m.name = self.layer_name + '_m' self.p.name = self.layer_name + '_p' return self.p def test_fprop(self, state_below, threshold=None, stochastic=True): return self.fprop(state_below, threshold, stochastic) def cost(self, Y, Y_hat): return self.cost_from_cost_matrix(self.cost_matrix(Y, Y_hat)) def cost_from_cost_matrix(self, cost_matrix): return cost_matrix.sum(axis=1).mean() def cost_matrix(self, Y, Y_hat): return T.sqr(Y - Y_hat) def get_gradients(self, known_grads, loss): ''' Computes gradients and updates for this layer given the known gradients of the upper layers, and the vector of losses for the batch. ''' updates = OrderedDict() cost = self.get_kl_divergence() + self.get_weight_decay() # gradient of linear part. params = [self.W[0], self.b[0]] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.m, self.x], disconnected_inputs='raise') cost_grads = T.grad(cost=cost, wrt=params, consider_constant=[self.m, self.x], disconnected_inputs='ignore') updates[self.linear_grad] = T.abs_(grads[0]).mean() for i in range(len(grads)): grads[i] += cost_grads[i] gradients = OrderedDict(izip(params, grads)) # update moving average loss for each unit where 1 was sampled loss = loss.dimshuffle(0,'x') delta = (self.m - self.m_mean) updates[self.mean_loss_nume] = \ (self.mean_loss_coeff * self.mean_loss_nume) \ + ((1. - self.mean_loss_coeff) * \ (T.sqr(delta) * loss).mean(axis=0)) updates[self.mean_loss_deno] = \ (self.mean_loss_coeff * self.mean_loss_deno) \ + ((1. - self.mean_loss_coeff) * \ T.sqr(delta).mean(axis=0)) # gradients of non-linear part. ## obtain a lower-variance unbiased estimator by using ## separate moving averages of the loss for each unit mean_loss = self.mean_loss_nume/self.mean_loss_deno known_grads[self.a] = \ self.stoch_grad_coeff \ * delta * (loss - mean_loss.dimshuffle('x',0)) params = [self.W[1],self.W[2],self.b[1],self.b[2]] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.z, self.x], disconnected_inputs='raise') updates[self.stoch_grad] = T.abs_(grads[1]).mean() cost_grads = T.grad(cost=cost, wrt=params, consider_constant=[self.z, self.x], disconnected_inputs='ignore') updates[self.kl_grad] = T.abs_(cost_grads[1]).mean() for i in range(len(grads)): grads[i] += cost_grads[i] gradients.update(OrderedDict(izip(params, grads))) return gradients, updates def get_kl_divergence(self): ''' Minimize KL-divergence of unit binomial distributions with binomial distribution of probability self.sparsity_target. This could also be modified to keep a running average of unit samples ''' e = 1e-6 cost = - self.sparsity_cost_coeff * ( \ (self.sparsity_target * T.log(e+self.m_mean.mean(axis=0))) \ +((1.-self.sparsity_target) * T.log(e+(1.-self.m_mean.mean(axis=0)))) \ ).sum() return cost def get_weight_decay(self): rval = 0 for i in range(3): if self.weight_decay_coeff[i] is not None: rval += self.weight_decay_coeff[i]*T.sqr(self.W[i]).sum() return rval class GaterOnly(Layer): """ No experts. Formerly Stochastic3 One tanh layer followed by a stochastic sigmoid layer, they both learn using unbiased estimator of the gradient. """ def __init__(self, dim, hidden_dim, layer_name, mean_loss_coeff = 0.9, hidden_activation = 'tanh', sparsity_target = 0.1, sparsity_cost_coeff = 1.0, stoch_grad_coeff = 0.01, linear_activation = None, irange = [None,None], istdev = [None,None], sparse_init = [None,None], sparse_stdev = [1.,1.], init_bias = [0.,0.], W_lr_scale = [None,None], b_lr_scale = [None,None], max_col_norm = [None,None], weight_decay_coeff = [None,None]): ''' params ------ dim: number of units on output layer hidden_dim: number of units on hidden layer mean_loss_coeff: weight of the past moving averages in calculating the moving average vs the weight of the average of the current batch. hidden_activation: activation function used on hidden layer of non-linear part sparsity_target: target sparsity of the output layer. sparsity_cost_coeff: coefficient of the sparsity constraint when summing costs weight_decay_coeff: coefficients of L2 weight decay when summing costs other: in the lists of params, the first index is for the linear part, while the second and third indices are for the first and second layer of the non-linear part, respectively ''' self.__dict__.update(locals()) del self.self def get_lr_scalers(self): rval = OrderedDict() for i in range(2): if self.W_lr_scale[i] is not None: rval[self.W[i]] = self.W_lr_scale[i] if self.b_lr_scale[i] is not None: rval[self.b[i]] = self.b_lr_scale[i] return rval def set_input_space(self, space): self.input_space = space if isinstance(space, VectorSpace): self.requires_reformat = False self.input_dim = space.dim else: self.requires_reformat = True self.input_dim = space.get_total_dimension() self.desired_space = VectorSpace(self.input_dim) self.output_space = VectorSpace(self.dim) self.input_dims = [self.input_dim, self.hidden_dim] self.output_dims = [self.hidden_dim, self.dim] self.W = [None,None] self.b = [None,None] for i in range(2): self._init_inner_layer(i) e = 1e-6 self.mean_loss_deno = sharedX(e+np.zeros((self.output_dims[1],))) self.mean_loss_nume = sharedX(e+np.zeros((self.output_dims[1],))) self.stoch_grad = sharedX(0) self.kl_grad = sharedX(0) def _init_inner_layer(self, idx): rng = self.mlp.rng if self.irange[idx] is not None: assert self.istdev[idx] is None assert self.sparse_init[idx] is None W = rng.uniform(-self.irange[idx], self.irange[idx], (self.input_dims[idx], self.output_dims[idx])) elif self.istdev[idx] is not None: assert self.sparse_init[idx] is None W = rng.randn(self.input_dims[idx], self.output_dims[idx]) \ * self.istdev[idx] else: assert self.sparse_init[idx] is not None W = np.zeros((self.input_dims[idx], self.output_dims[idx])) for i in xrange(self.output_dims[idx]): assert self.sparse_init[idx] <= self.input_dims[idx] for j in xrange(self.sparse_init[idx]): idx2 = rng.randint(0, self.input_dims[idx]) while W[idx2, i] != 0: idx2 = rng.randint(0, self.input_dims[idx]) W[idx2, i] = rng.randn() W *= self.sparse_stdev[idx] W = sharedX(W) W.name = self.layer_name + '_W' + str(idx) b = sharedX( np.zeros((self.output_dims[idx],)) \ + self.init_bias[idx], \ name = self.layer_name + '_b' + str(idx)) self.W[idx] = W self.b[idx] = b def censor_updates(self, updates): for idx in range(2): if self.max_col_norm[idx] is not None: W = self.W[idx] if W in updates: updated_W = updates[W] col_norms = T.sqrt(T.sum(T.sqr(updated_W), axis=0)) desired_norms = T.clip(col_norms, 0, self.max_col_norm[idx]) updates[W] = updated_W * desired_norms / (1e-7 + col_norms) def get_params(self): rval = [self.W[0], self.W[1], self.b[0], self.b[1]] return rval def get_weights(self): rval = [] for i in range(2): W = self.W[i] rval.append(W.get_value()) return rval def set_weights(self, weights): for i in range(2): W = self.W[i] W.set_value(weights[i]) def set_biases(self, biases): for i in range(2): self.b[i].set_value(biases[i]) def get_biases(self): rval = [] for i in range(2): rval.append(self.b[i].get_value()) return rval def get_weights_format(self): return ('v', 'h') def get_weights_topo(self): raise NotImplementedError() def get_monitoring_channels(self): rval = OrderedDict([ ('mean_loss_nume_mean', self.mean_loss_nume.mean()), ('mean_loss_deno_mean', self.mean_loss_deno.mean()), ]) rval['stoch_grad'] = self.stoch_grad rval['kl_grad'] = self.kl_grad for i in range(2): sq_W = T.sqr(self.W[i]) row_norms = T.sqrt(sq_W.sum(axis=1)) col_norms = T.sqrt(sq_W.sum(axis=0)) rval['row_norms_max'+str(i)] = row_norms.max() rval['col_norms_max'+str(i)] = col_norms.max() return rval def get_monitoring_channels_from_state(self, state, target=None): rval = OrderedDict() # sparisty of outputs: rval['mean_output_sparsity'] = self.m_mean.mean() # proportion of sigmoids that have prob > 0.5 # good when equal to sparsity floatX = theano.config.floatX rval['mean_sparsity_prop'] \ = T.cast(T.gt(self.m_mean, 0.5),floatX).mean() # same as above but for intermediate thresholds: rval['mean_sparsity_prop0.2'] \ = T.cast(T.gt(self.m_mean, 0.2),floatX).mean() rval['mean_sparsity_prop0.3'] \ = T.cast(T.gt(self.m_mean, 0.3),floatX).mean() rval['mean_sparsity_prop0.4'] \ = T.cast(T.gt(self.m_mean, 0.4),floatX).mean() # or just plain standard deviation (less is bad): rval['output_stdev'] = self.m_mean.std() # stdev of unit stdevs (more is bad) rval['output_meta_stdev'] = self.m_mean.std(axis=0).std() # max and min proportion of these probs per unit prop_per_unit = T.cast(T.gt(self.m_mean, 0.5),floatX).mean(0) # if this is high, it means a unit is likely always active (bad) rval['max_unit_sparsity_prop'] = prop_per_unit.max() rval['min_unit_sparsity_prop'] = prop_per_unit.min() # in both cases, high means units are popular (bad) # proportion of units with p>0.5 more than 50% of time: rval['mean_unit_sparsity_meta_prop'] \ = T.cast(T.gt(prop_per_unit,0.5),floatX).mean() # proportion of units with p>0.5 more than 75% of time: rval['mean_unit_sparsity_meta_prop2'] \ = T.cast(T.gt(prop_per_unit,0.75),floatX).mean() return rval def fprop(self, state_below, threshold=None, stochastic=True): self.input_space.validate(state_below) if self.requires_reformat: if not isinstance(state_below, tuple): for sb in get_debug_values(state_below): if sb.shape[0] != self.dbm.batch_size: raise ValueError("self.dbm.batch_size is %d but got shape of %d" % (self.dbm.batch_size, sb.shape[0])) assert reduce(lambda x,y: x * y, sb.shape[1:]) == self.input_dim state_below = self.input_space.format_as(state_below, self.desired_space) self.x = state_below # first layer if isinstance(self.x, S.SparseVariable): h = S.dot(self.x,self.W[0]) + self.b[0] else: h = T.dot(self.x,self.W[0]) + self.b[0] # activate hidden units if self.hidden_activation is None: self.h = h elif self.hidden_activation == 'tanh': self.h = T.tanh(h) elif self.hidden_activation == 'sigmoid': self.h = T.nnet.sigmoid(h) elif self.hidden_activation == 'softmax': self.h = T.nnet.softmax(h) elif self.hidden_activation == 'rectifiedlinear': self.h = T.maximum(0, h) else: raise NotImplementedError() # second layer self.a = T.dot(self.h,self.W[1]) + self.b[1] # activate non-linear part to get bernouilli probabilities self.m_mean = T.nnet.sigmoid(self.a) if threshold is None: if stochastic: # sample from bernouili probs to generate a mask rng = MRG_RandomStreams(self.mlp.rng.randint(2**15)) self.m = rng.binomial(size = self.m_mean.shape, n = 1, p = self.m_mean, dtype=self.m_mean.type.dtype) '''uniform = rng.uniform(size = self.m_mean.shape, dtype=self.m_mean.type.dtype) self.m = T.cast(T.gt(uniform,self.m_mean),dtype=theano.config.floatX)''' else: self.m = self.m_mean else: # deterministic mask: self.m = T.cast(T.gt(self.m_mean, threshold), \ theano.config.floatX) if self.layer_name is not None: self.h.name = self.layer_name + '_h' self.a.name = self.layer_name + '_a' self.m_mean.name = self.layer_name + '_m_mean' self.m.name = self.layer_name + '_m' return self.m def test_fprop(self, state_below, threshold=None, stochastic=True): return self.fprop(state_below, threshold, stochastic) def cost(self, Y, Y_hat): return self.cost_from_cost_matrix(self.cost_matrix(Y, Y_hat)) def cost_from_cost_matrix(self, cost_matrix): return cost_matrix.sum(axis=1).mean() def cost_matrix(self, Y, Y_hat): return T.sqr(Y - Y_hat) def get_gradients(self, known_grads, loss): ''' Computes gradients and updates for this layer given the vector of losses for the batch. ''' updates = OrderedDict() gradients = OrderedDict() cost = self.get_kl_divergence() + self.get_weight_decay() # update moving average loss for each unit where 1 was sampled loss = loss.dimshuffle(0,'x') delta = (self.m - self.m_mean) updates[self.mean_loss_nume] = \ (self.mean_loss_coeff * self.mean_loss_nume) \ + ((1. - self.mean_loss_coeff) * \ (T.sqr(delta) * loss).mean(axis=0)) updates[self.mean_loss_deno] = \ (self.mean_loss_coeff * self.mean_loss_deno) \ + ((1. - self.mean_loss_coeff) * \ T.sqr(delta).mean(axis=0)) # gradients of non-linear part. ## obtain a lower-variance unbiased estimator by using ## separate moving averages of the loss for each unit mean_loss = self.mean_loss_nume/self.mean_loss_deno known_grads[self.a] = \ self.stoch_grad_coeff \ * delta * (loss - mean_loss.dimshuffle('x',0)) params = [self.W[0],self.W[1],self.b[0],self.b[1]] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.x], disconnected_inputs='raise') updates[self.stoch_grad] = T.abs_(grads[0]).mean() cost_grads = T.grad(cost=cost, wrt=params, consider_constant=[self.x], disconnected_inputs='ignore') updates[self.kl_grad] = T.abs_(cost_grads[0]).mean() for i in range(len(grads)): grads[i] += cost_grads[i] gradients.update(OrderedDict(izip(params, grads))) return gradients, updates def get_kl_divergence(self): ''' Minimize KL-divergence of unit binomial distributions with binomial distribution of probability self.sparsity_target. This could also be modified to keep a running average of unit samples ''' e = 1e-6 cost = - self.sparsity_cost_coeff * ( \ (self.sparsity_target * T.log(e+self.m_mean.mean(axis=0))) \ +((1.-self.sparsity_target) * T.log(e+(1.-self.m_mean.mean(axis=0)))) \ ).sum() return cost def get_weight_decay(self): rval = 0 for i in range(2): if self.weight_decay_coeff[i] is not None: rval += self.weight_decay_coeff[i]*T.sqr(self.W[i]).sum() return rval class StochasticSoftmax(Softmax): def __init__(self, n_classes, layer_name, irange = None, istdev = None, sparse_init = None, W_lr_scale = None, b_lr_scale = None, max_row_norm = None, no_affine = False, max_col_norm = None, init_bias_target_marginals= None, weight_decay_coeff = None): """ """ self.weight_decay_coeff = weight_decay_coeff Softmax.__init__(self, n_classes, layer_name,irange,istdev, sparse_init,W_lr_scale,b_lr_scale,max_row_norm, no_affine,max_col_norm,init_bias_target_marginals) def get_weight_decay(self): if self.weight_decay_coeff is None: return None return self.weight_decay_coeff * T.sqr(self.W).sum() def fprop(self, state_below): self.input_space.validate(state_below) if self.needs_reformat: state_below = self.input_space.format_as(state_below, self.desired_space) for value in get_debug_values(state_below): if self.mlp.batch_size is not None and value.shape[0] != self.mlp.batch_size: raise ValueError("state_below should have batch size "+str(self.dbm.batch_size)+" but has "+str(value.shape[0])) self.desired_space.validate(state_below) assert state_below.ndim == 2 self.x = state_below if not hasattr(self, 'no_affine'): self.no_affine = False if self.no_affine: Z = state_below else: assert self.W.ndim == 2 b = self.b Z = T.dot(state_below, self.W) + b rval = T.nnet.softmax(Z) for value in get_debug_values(rval): if self.mlp.batch_size is not None: assert value.shape[0] == self.mlp.batch_size return rval def get_gradients(self, known_grads, loss): params = self.get_params() cost = self.get_weight_decay() grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.x], disconnected_inputs='raise') if cost is not None: cost_grads = T.grad(cost=cost, wrt=params, consider_constant=[self.x], disconnected_inputs='raise') for i in range(len(grads)): grads[i] += cost_grads[i] gradients = OrderedDict(izip(params, grads)) return gradients, OrderedDict() class SparseTanh(Linear): """ Implementation of the tanh nonlinearity for MLP. """ def _linear_part(self, state_below): # TODO: Refactor More Better(tm) self.input_space.validate(state_below) if self.requires_reformat: if not isinstance(state_below, tuple): for sb in get_debug_values(state_below): if sb.shape[0] != self.dbm.batch_size: raise ValueError("self.dbm.batch_size is %d but got shape of %d" % (self.dbm.batch_size, sb.shape[0])) assert reduce(lambda x,y: x * y, sb.shape[1:]) == self.input_dim state_below = self.input_space.format_as(state_below, self.desired_space) if self.softmax_columns: W, = self.transformer.get_params() W = W.T W = T.nnet.softmax(W) W = W.T z = S.dot(state_below, W) + self.b else: W, = self.transformer.get_params() z = S.dot(state_below, W) + self.b if self.layer_name is not None: z.name = self.layer_name + '_z' if self.copy_input: z = T.concatenate((z, state_below), axis=1) return z def fprop(self, state_below): p = self._linear_part(state_below) p = T.tanh(p) return p def cost(self, *args, **kwargs): raise NotImplementedError() class StraightThrough(Layer): """ Formerly Stochastic4 Biased low-variance estimator Straight-Through """ def __init__(self, dim, hidden_dim, layer_name, hidden_activation = 'tanh', expert_activation = 'linear', derive_sigmoid = True, sparsity_target = 0.1, sparsity_cost_coeff = 1.0, irange = [None,None,None], istdev = [None,None,None], sparse_init = [None,None,None], sparse_stdev = [1.,1.,1.], init_bias = [0.,0.,0.], W_lr_scale = [None,None,None], b_lr_scale = [None,None,None], max_col_norm = [None,None,None], weight_decay_coeff = [None,None,None]): ''' params ------ dim: number of units on output layer hidden_dim: number of units on hidden layer of non-linear part hidden_activation: activation function used on hidden layer of non-linear part sparsity_target: target sparsity of the output layer. sparsity_cost_coeff: coefficient of the sparsity constraint when summing costs weight_decay_coeff: coefficients of L2 weight decay when summing costs other: in the lists of params, the first index is for the linear part, while the second and third indices are for the first and second layer of the non-linear part, respectively ''' self.__dict__.update(locals()) del self.self def get_lr_scalers(self): rval = OrderedDict() for i in range(3): if self.W_lr_scale[i] is not None: rval[self.W[i]] = self.W_lr_scale[i] if self.b_lr_scale[i] is not None: rval[self.b[i]] = self.b_lr_scale[i] return rval def activate(self, x, function_name): if (function_name is None) or (function_name == 'linear'): y = x elif function_name == 'tanh': y = T.tanh(x) elif function_name == 'sigmoid': y = T.nnet.sigmoid(x) elif function_name == 'softmax': y = T.nnet.softmax(x) elif function_name == 'rectifiedlinear': y = T.maximum(0, x) elif function_name == 'softplus': y = T.nnet.softplus(x) elif function_name == 'softmax': y = T.nnet.softmax(x) elif function_name == 'rectifiedsoftplus': y = T.nnet.softplus(T.maximum(0, x)) else: raise NotImplementedError() return y def set_input_space(self, space): self.input_space = space if isinstance(space, VectorSpace): self.requires_reformat = False self.input_dim = space.dim else: self.requires_reformat = True self.input_dim = space.get_total_dimension() self.desired_space = VectorSpace(self.input_dim) self.output_space = VectorSpace(self.dim) self.input_dims = [self.input_dim, self.input_dim, self.hidden_dim] self.output_dims = [self.dim, self.hidden_dim, self.dim] self.W = [None,None,None] self.b = [None,None,None] for i in range(3): self._init_inner_layer(i) self.stoch_grad = sharedX(0) self.kl_grad = sharedX(0) self.linear_grad = sharedX(0) def _init_inner_layer(self, idx): rng = self.mlp.rng if self.irange[idx] is not None: assert self.istdev[idx] is None assert self.sparse_init[idx] is None W = rng.uniform(-self.irange[idx], self.irange[idx], (self.input_dims[idx], self.output_dims[idx])) elif self.istdev[idx] is not None: assert self.sparse_init[idx] is None W = rng.randn(self.input_dims[idx], self.output_dims[idx]) \ * self.istdev[idx] else: assert self.sparse_init[idx] is not None W = np.zeros((self.input_dims[idx], self.output_dims[idx])) for i in xrange(self.output_dims[idx]): assert self.sparse_init[idx] <= self.input_dims[idx] for j in xrange(self.sparse_init[idx]): idx2 = rng.randint(0, self.input_dims[idx]) while W[idx2, i] != 0: idx2 = rng.randint(0, self.input_dims[idx]) W[idx2, i] = rng.randn() W *= self.sparse_stdev[idx] W = sharedX(W) W.name = self.layer_name + '_W' + str(idx) b = sharedX( np.zeros((self.output_dims[idx],)) \ + self.init_bias[idx], \ name = self.layer_name + '_b' + str(idx)) self.W[idx] = W self.b[idx] = b def censor_updates(self, updates): for idx in range(3): if self.max_col_norm[idx] is not None: W = self.W[idx] if W in updates: updated_W = updates[W] col_norms = T.sqrt(T.sum(T.sqr(updated_W), axis=0)) desired_norms = T.clip(col_norms, 0, self.max_col_norm[idx]) updates[W] = updated_W * desired_norms / (1e-7 + col_norms) def get_params(self): rval = [self.W[0], self.W[1], self.W[2], self.b[0], self.b[1], self.b[2]] return rval def get_weights(self): rval = [] for i in range(3): W = self.W[i] rval.append(W.get_value()) return rval def set_weights(self, weights): for i in range(3): W = self.W[i] W.set_value(weights[i]) def set_biases(self, biases): for i in range(3): self.b[i].set_value(biases[i]) def get_biases(self): rval = [] for i in range(3): rval.append(self.b[i].get_value()) return rval def get_weights_format(self): return ('v', 'h') def get_weights_topo(self): raise NotImplementedError() def get_monitoring_channels(self): rval = OrderedDict() rval['stoch_grad'] = self.stoch_grad rval['kl_grad'] = self.kl_grad rval['linear_grad'] = self.linear_grad for i in range(3): sq_W = T.sqr(self.W[i]) row_norms = T.sqrt(sq_W.sum(axis=1)) col_norms = T.sqrt(sq_W.sum(axis=0)) rval['row_norms_max'+str(i)] = row_norms.max() rval['col_norms_max'+str(i)] = col_norms.max() return rval def get_monitoring_channels_from_state(self, state, target=None): rval = OrderedDict() # sparisty of outputs: rval['mean_output_sparsity'] = self.m_mean.mean() # proportion of sigmoids that have prob > 0.5 # good when equal to sparsity floatX = theano.config.floatX rval['mean_sparsity_prop'] \ = T.cast(T.gt(self.m_mean, 0.5),floatX).mean() # same as above but for intermediate thresholds: rval['mean_sparsity_prop0.2'] \ = T.cast(T.gt(self.m_mean, 0.2),floatX).mean() rval['mean_sparsity_prop0.3'] \ = T.cast(T.gt(self.m_mean, 0.3),floatX).mean() rval['mean_sparsity_prop0.4'] \ = T.cast(T.gt(self.m_mean, 0.4),floatX).mean() # or just plain standard deviation (less is bad): rval['output_stdev'] = self.m_mean.std() # stdev of unit stdevs (more is bad) rval['output_meta_stdev'] = self.m_mean.std(axis=0).std() # max and min proportion of these probs per unit prop_per_unit = T.cast(T.gt(self.m_mean, 0.5),floatX).mean(0) # if this is high, it means a unit is likely always active (bad) rval['max_unit_sparsity_prop'] = prop_per_unit.max() rval['min_unit_sparsity_prop'] = prop_per_unit.min() # in both cases, high means units are popular (bad) # proportion of units with p>0.5 more than 50% of time: rval['mean_unit_sparsity_meta_prop'] \ = T.cast(T.gt(prop_per_unit,0.5),floatX).mean() # proportion of units with p>0.5 more than 75% of time: rval['mean_unit_sparsity_meta_prop2'] \ = T.cast(T.gt(prop_per_unit,0.75),floatX).mean() return rval def fprop(self, state_below, threshold=None, stochastic=True): self.input_space.validate(state_below) if self.requires_reformat: if not isinstance(state_below, tuple): for sb in get_debug_values(state_below): if sb.shape[0] != self.dbm.batch_size: raise ValueError("self.dbm.batch_size is %d but got shape of %d" % (self.dbm.batch_size, sb.shape[0])) assert reduce(lambda x,y: x * y, sb.shape[1:]) == self.input_dim state_below = self.input_space.format_as(state_below, self.desired_space) self.x = state_below # linear part if isinstance(self.x, S.SparseVariable): z = S.dot(self.x,self.W[0]) + self.b[0] else: z = T.dot(self.x,self.W[0]) + self.b[0] self.z = self.activate(z, self.expert_activation) # first layer non-linear part if isinstance(self.x, S.SparseVariable): h = S.dot(self.x,self.W[1]) + self.b[1] else: h = T.dot(self.x,self.W[1]) + self.b[1] self.h = self.activate(h, self.hidden_activation) # second layer non-linear part self.a = T.dot(self.h,self.W[2]) + self.b[2] # activate non-linear part to get bernouilli probabilities self.m_mean = T.nnet.sigmoid(self.a) if threshold is None: if stochastic: # sample from bernouili probs to generate a mask rng = MRG_RandomStreams(self.mlp.rng.randint(2**15)) self.m = rng.binomial(size = self.m_mean.shape, n = 1, p = self.m_mean, dtype=self.m_mean.type.dtype) else: self.m = self.m_mean else: # deterministic mask: self.m = T.cast(T.gt(self.m_mean, threshold), \ theano.config.floatX) # mask output of linear part with samples from linear part self.p = self.m * self.z if self.layer_name is not None: self.z.name = self.layer_name + '_z' self.h.name = self.layer_name + '_h' self.a.name = self.layer_name + '_a' self.m_mean.name = self.layer_name + '_m_mean' self.m.name = self.layer_name + '_m' self.p.name = self.layer_name + '_p' return self.p def test_fprop(self, state_below, threshold=None, stochastic=True): return self.fprop(state_below, threshold, stochastic) def cost(self, Y, Y_hat): return self.cost_from_cost_matrix(self.cost_matrix(Y, Y_hat)) def cost_from_cost_matrix(self, cost_matrix): return cost_matrix.sum(axis=1).mean() def cost_matrix(self, Y, Y_hat): return T.sqr(Y - Y_hat) def get_gradients(self, known_grads, loss): ''' Computes gradients and updates for this layer given the known gradients of the upper layers, and the vector of losses for the batch. ''' updates = OrderedDict() cost = self.get_kl_divergence() + self.get_weight_decay() # gradient of linear part. params = [self.W[0], self.b[0]] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.m, self.x], disconnected_inputs='raise') cost_grads = T.grad(cost=cost, wrt=params, consider_constant=[self.m, self.x], disconnected_inputs='ignore') updates[self.linear_grad] = T.abs_(grads[0]).mean() for i in range(len(grads)): grads[i] += cost_grads[i] gradients = OrderedDict(izip(params, grads)) # gradients of non-linear part: ## start by getting gradients at binary mask: params = [self.m] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.m, self.x], disconnected_inputs='raise') print "grads at bin", grads # estimate gradient at simoid input using above: grad_m = grads[0] if self.derive_sigmoid: # multiplying by derivative of sigmoid is optional: known_grads[self.a] \ = grad_m * self.m_mean * (1. - self.m_mean) else: known_grads[self.a] = grad_m params = [self.W[1],self.W[2],self.b[1],self.b[2]] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.z, self.x], disconnected_inputs='raise') updates[self.stoch_grad] = T.abs_(grads[1]).mean() cost_grads = T.grad(cost=cost, wrt=params, consider_constant=[self.z, self.x], disconnected_inputs='ignore') updates[self.kl_grad] = T.abs_(cost_grads[1]).mean() for i in range(len(grads)): grads[i] += cost_grads[i] gradients.update(OrderedDict(izip(params, grads))) return gradients, updates def get_kl_divergence(self): ''' Minimize KL-divergence of unit binomial distributions with binomial distribution of probability self.sparsity_target. This could also be modified to keep a running average of unit samples ''' e = 1e-6 cost = - self.sparsity_cost_coeff * ( \ (self.sparsity_target * T.log(e+self.m_mean.mean(axis=0))) \ +((1.-self.sparsity_target) * T.log(e+(1.-self.m_mean.mean(axis=0)))) \ ).sum() return cost def get_weight_decay(self): rval = 0 for i in range(3): if self.weight_decay_coeff[i] is not None: rval += self.weight_decay_coeff[i]*T.sqr(self.W[i]).sum() return rval class CurveThrough(StraightThrough): """ Like Straight-Through (ST) but with the gradient at a (pre-sigmoid) multiplied by sqr(b - p) where b is mask, and p is sigmoid. Or multiplied by Bin(e)/e where e is hyper-parameter between 0 and 1 and Bin is a binomial distribution. """ def __init__(self, dim, hidden_dim, layer_name, hidden_activation = 'tanh', expert_activation = 'linear', derive_sigmoid = True, curve = 'sqr(b-p)', curve_noise = None, sparsity_target = 0.1, sparsity_cost_coeff = 1.0, irange = [None,None,None], istdev = [None,None,None], sparse_init = [None,None,None], sparse_stdev = [1.,1.,1.], init_bias = [0.,0.,0.], W_lr_scale = [None,None,None], b_lr_scale = [None,None,None], max_col_norm = [None,None,None], weight_decay_coeff = [None,None,None]): ''' params ------ dim: number of units on output layer hidden_dim: number of units on hidden layer of non-linear part hidden_activation: activation function used on hidden layer of non-linear part sparsity_target: target sparsity of the output layer. sparsity_cost_coeff: coefficient of the sparsity constraint when summing costs weight_decay_coeff: coefficients of L2 weight decay when summing costs other: in the lists of params, the first index is for the linear part, while the second and third indices are for the first and second layer of the non-linear part, respectively ''' self.__dict__.update(locals()) del self.self def get_gradients(self, known_grads, loss): ''' Computes gradients and updates for this layer given the known gradients of the upper layers, and the vector of losses for the batch. ''' updates = OrderedDict() cost = self.get_kl_divergence() + self.get_weight_decay() # gradient of linear part. params = [self.W[0], self.b[0]] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.m, self.x], disconnected_inputs='raise') cost_grads = T.grad(cost=cost, wrt=params, consider_constant=[self.m, self.x], disconnected_inputs='ignore') updates[self.linear_grad] = T.abs_(grads[0]).mean() for i in range(len(grads)): grads[i] += cost_grads[i] gradients = OrderedDict(izip(params, grads)) # gradients of non-linear part: ## start by getting gradients at binary mask: params = [self.m] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.m, self.x], disconnected_inputs='raise') print "grads at bin", grads # estimate gradient at simoid input using above: grad_a = grads[0] if self.derive_sigmoid: # multiplying by derivative of sigmoid is optional: grad_a *= self.m_mean * (1. - self.m_mean) if self.curve == 'sqr(b-p)': grad_a *= T.sqr(self.m - self.m_mean) elif self.curve == 'Bin(e)/e': assert (self.curve_noise is not None) # sample from e to generate a mask rng = MRG_RandomStreams(self.mlp.rng.randint(2**15)) curve_mask = rng.binomial(size = grad_a.shape, n = 1, p = self.curve_noise, dtype=grad_a.type.dtype) grad_a *= curve_mask / self.curve_noise known_grads[self.a] = grad_m params = [self.W[1],self.W[2],self.b[1],self.b[2]] grads = T.grad(cost=None, wrt=params, known_grads=known_grads, consider_constant=[self.z, self.x], disconnected_inputs='raise') updates[self.stoch_grad] = T.abs_(grads[1]).mean() cost_grads = T.grad(cost=cost, wrt=params, consider_constant=[self.z, self.x], disconnected_inputs='ignore') updates[self.kl_grad] = T.abs_(cost_grads[1]).mean() for i in range(len(grads)): grads[i] += cost_grads[i] gradients.update(OrderedDict(izip(params, grads))) return gradients, updates

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5fd8405bb243b79ae611269ad834ed9221ccd00b

116

py

Python

tests/utils/test_utils_wsgi.py

bitcaster-io/bitcaster

9f1bad96e00e3bc78a22451731e231d30662b166

[ "BSD-3-Clause" ]

4

2018-03-01T10:22:30.000Z

2020-04-04T16:31:11.000Z

tests/utils/test_utils_wsgi.py

bitcaster-io/bitcaster

9f1bad96e00e3bc78a22451731e231d30662b166

[ "BSD-3-Clause" ]

60

2018-05-20T04:42:32.000Z

2022-02-10T17:03:37.000Z

tests/utils/test_utils_wsgi.py

bitcaster-io/bitcaster

9f1bad96e00e3bc78a22451731e231d30662b166

[ "BSD-3-Clause" ]

1

2018-08-04T05:06:45.000Z

from bitcaster.utils.wsgi import get_client_ip def test_get_client_ip(rf): assert get_client_ip(rf.get('/'))

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215

py

Python

src/test/python/request/test_http_request.py

photowey/pytest-dynamic-framework

4e7b6d74594191006b50831d42e7aae21e154d56

[ "Apache-2.0" ]

null

src/test/python/request/test_http_request.py

photowey/pytest-dynamic-framework

4e7b6d74594191006b50831d42e7aae21e154d56

[ "Apache-2.0" ]

null

src/test/python/request/test_http_request.py

photowey/pytest-dynamic-framework

4e7b6d74594191006b50831d42e7aae21e154d56

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- # --------------------------------------------- # @file test_http_request # @description test_http_request # @author WcJun # @date 2021/07/19 # ---------------------------------------------

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0

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7

27dbdda2cdbac145472cb45605d72e3d6d4526dd

10,561

py

Python

aviso-server/auth/tests/test_backend.py

mpejcoch/aviso

250b5646220fae85725278b3ca80fed4e15a103a

[ "Apache-2.0" ]

6

2021-02-03T17:55:05.000Z

2022-02-20T08:05:42.000Z

aviso-server/auth/tests/test_backend.py

mpejcoch/aviso

250b5646220fae85725278b3ca80fed4e15a103a

[ "Apache-2.0" ]

1

2021-04-26T14:42:39.000Z

aviso-server/auth/tests/test_backend.py

mpejcoch/aviso

250b5646220fae85725278b3ca80fed4e15a103a

[ "Apache-2.0" ]

2

2021-02-09T15:07:41.000Z

2021-08-13T09:55:30.000Z

# (C) Copyright 1996- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. import json import os import pytest from aviso_auth import config, logger from aviso_auth.authorisation import Authoriser from aviso_auth.backend_adapter import BackendAdapter from aviso_auth.custom_exceptions import InternalSystemError, InvalidInputError def conf() -> config.Config: # this automatically configure the logging return config.Config(conf_path=os.path.expanduser("~/.aviso-auth/testing/config.yaml")) class RequestDict(dict): def __init__(self, *args, **kwargs): dict.__init__(self, *args, **kwargs) self.__dict__ = self def test_backend(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) # prepare request key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": None, "min_mod_revision": None, "max_mod_revision": None, } request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) resp = backend.forward_impl(request) assert resp def test_not_existing_dest(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL/not_existing" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": None, "min_mod_revision": None, "max_mod_revision": None, } request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) resp = backend.forward_impl(request) assert resp assert json.loads(resp.decode()) != {} assert json.loads(resp.decode()).get("kvs") is None def test_bad_etcd_format_request(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": "aa", # this returns a 400 as it's expecting a number "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": None, "min_mod_revision": None, "max_mod_revision": None, } # make the call request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) try: backend.forward_impl(request) except Exception as e: assert isinstance(e, InternalSystemError) def test_bad_etcd_request_value(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEYY", # this returns a 400 as it's an unknown value "keys_only": False, "revision": None, "min_mod_revision": None, "max_mod_revision": None, } # make the call request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) try: backend.forward_impl(request) except Exception as e: assert isinstance(e, InternalSystemError) def test_future_rev(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": 10000000000, # this returns a 400 as it's a future revision "min_mod_revision": None, "max_mod_revision": None, } # make the call request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) try: backend.forward_impl(request) except Exception as e: assert isinstance(e, InternalSystemError) @pytest.mark.skip() def test_compacted_rev(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": 72484, # this returns a 400 as it's a compacted revision "min_mod_revision": None, "max_mod_revision": None, } # make the call request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) try: backend.forward_impl(request) except Exception as e: assert isinstance(e, InvalidInputError) def test_range_rev(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": None, "min_mod_revision": 10, # this is a compacted revision "max_mod_revision": 100000000000, # this is a future revision } request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) resp = backend.forward_impl(request) assert resp assert json.loads(resp.decode()) != {} def test_range_compacted(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": None, "min_mod_revision": 10, # this is a compacted revision "max_mod_revision": 90, # this is a compacted revision } request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) resp = backend.forward_impl(request) assert resp assert json.loads(resp.decode()) != {} def test_range_future(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": None, "min_mod_revision": 1000000000, # this is a future revision "max_mod_revision": 100000000000, # this is a future revision } request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) resp = backend.forward_impl(request) assert resp assert json.loads(resp.decode()) != {} def test_from_compacted_rev(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) key = "/ec/diss/SCL" # encode key encoded_key = Authoriser._encode_to_str_base64(key) range_end = Authoriser._encode_to_str_base64(str(Authoriser._incr_last_byte(key), "utf-8")) # create the body for the get range on the etcd sever body = { "key": encoded_key, "range_end": range_end, "limit": 100, "sort_order": "DESCEND", "sort_target": "KEY", "keys_only": False, "revision": None, "min_mod_revision": 10, # this is a compacted revision "max_mod_revision": None, } request = RequestDict(data=json.dumps(body)) # make the call backend = BackendAdapter(conf()) resp = backend.forward_impl(request) assert resp assert json.loads(resp.decode()) != {} def test_no_body(): logger.debug(os.environ.get("PYTEST_CURRENT_TEST").split(":")[-1].split(" ")[0]) # make the call request = RequestDict(data=None) # make the call backend = BackendAdapter(conf()) try: backend.forward_impl(request) except Exception as e: assert isinstance(e, InvalidInputError)

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27f4dedff13db2a12438c374e364390a89d243d1

229

py

Python

zeynep/verification/models/__init__.py

realsuayip/zeynep

76d525fa529b92525f5e45d42219279bdfcd1125

[ "BSD-3-Clause" ]

null

zeynep/verification/models/__init__.py

realsuayip/zeynep

76d525fa529b92525f5e45d42219279bdfcd1125

[ "BSD-3-Clause" ]

1

2022-03-24T19:02:23.000Z

2022-03-29T20:40:36.000Z

zeynep/verification/models/__init__.py

realsuayip/zeynep

76d525fa529b92525f5e45d42219279bdfcd1125

[ "BSD-3-Clause" ]

null

# flake8: noqa from zeynep.verification.models.email import EmailVerification from zeynep.verification.models.password import PasswordResetVerification from zeynep.verification.models.registration import RegistrationVerification

45.8

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null

0

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0

8

fd65b1cd9424a0116dc7a6280f51bac4eae8826b

14,402

py

Python

matchzoo/dataloader/callbacks/padding.py

ChrisRBXiong/MatchZoo-py

8883d0933a62610d71fec0215dce643630e03b1c

[ "Apache-2.0" ]

null

matchzoo/dataloader/callbacks/padding.py

ChrisRBXiong/MatchZoo-py

8883d0933a62610d71fec0215dce643630e03b1c

[ "Apache-2.0" ]

null

matchzoo/dataloader/callbacks/padding.py

ChrisRBXiong/MatchZoo-py

8883d0933a62610d71fec0215dce643630e03b1c

[ "Apache-2.0" ]

null

import typing import numpy as np from matchzoo.engine.base_callback import BaseCallback class BasicPadding(BaseCallback): """ Pad data for basic preprocessor. :param fixed_length_left: Integer. If set, `text_left` will be padded to this length. :param fixed_length_right: Integer. If set, `text_right` will be padded to this length. :param pad_value: the value to fill text. :param pad_mode: String, `pre` or `post`: pad either before or after each sequence. """ def __init__( self, fixed_length_left: int = None, fixed_length_right: int = None, pad_value: typing.Union[int, str] = 0, pad_mode: str = 'pre', ): """Init.""" self._fixed_length_left = fixed_length_left self._fixed_length_right = fixed_length_right self._pad_value = pad_value self._pad_mode = pad_mode def on_batch_unpacked(self, x: dict, y: np.ndarray): """Pad `x['text_left']` and `x['text_right]`.""" pad_length_left = 0 pad_length_right = 0 batch_size = len(x['id_left']) max_length_left = max(x['length_left']) max_length_right = max(x['length_right']) if self._fixed_length_left is None: pad_length_left = max_length_left else: pad_length_left = self._fixed_length_left if self._fixed_length_right is None: pad_length_right = max_length_right else: pad_length_right = self._fixed_length_right for key, value in x.items(): if key != 'text_left' and key != 'text_right': continue elif key == 'text_left': padded_value = np.full([batch_size, pad_length_left], self._pad_value, dtype=value.dtype) if self._pad_mode == 'post': for i in range(len(value)): end_pos = min(len(value[i]), pad_length_left) if end_pos > 0: padded_value[i][:end_pos] = value[i][:end_pos] elif self._pad_mode == 'pre': for i in range(len(value)): start_pos = min(len(value[i]), pad_length_left) if start_pos > 0: padded_value[i][-start_pos:] = \ value[i][-start_pos:] else: raise ValueError('{} is not a vaild ' 'pad mode.'.format(self._pad_mode)) else: # key == 'text_right' padded_value = np.full([batch_size, pad_length_right], self._pad_value, dtype=value.dtype) if self._pad_mode == 'post': for i in range(len(value)): end_pos = min(len(value[i]), pad_length_right) if end_pos > 0: padded_value[i][:end_pos] = value[i][:end_pos] elif self._pad_mode == 'pre': for i in range(len(value)): start_pos = min(len(value[i]), pad_length_right) if len(value[i]) > 0: padded_value[i][-start_pos:] = \ value[i][-start_pos:] else: raise ValueError('{} is not a vaild ' 'pad mode.'.format(self._pad_mode)) x[key] = padded_value class DRMMPadding(BaseCallback): """ Pad data for DRMM Model. :param fixed_length_left: Integer. If set, `text_left` and `match_histogram` will be padded to this length. :param fixed_length_right: Integer. If set, `text_right` will be padded to this length. :param pad_value: the value to fill text. :param pad_mode: String, `pre` or `post`: pad either before or after each sequence. """ def __init__( self, fixed_length_left: int = None, fixed_length_right: int = None, pad_value: typing.Union[int, str] = 0, pad_mode: str = 'pre', ): """Init.""" self._fixed_length_left = fixed_length_left self._fixed_length_right = fixed_length_right self._pad_value = pad_value self._pad_mode = pad_mode def on_batch_unpacked(self, x: dict, y: np.ndarray): """ Padding. Pad `x['text_left']`, `x['text_right]` and `x['match_histogram']`. """ pad_length_left = 0 pad_length_right = 0 batch_size = len(x['id_left']) max_length_left = max(x['length_left']) max_length_right = max(x['length_right']) bin_size = len(x['match_histogram'][0][0]) if self._fixed_length_left is None: pad_length_left = max_length_left else: pad_length_left = self._fixed_length_left if self._fixed_length_right is None: pad_length_right = max_length_right else: pad_length_right = self._fixed_length_right for key, value in x.items(): if key != 'text_left' and key != 'text_right' and \ key != 'match_histogram': continue elif key == 'text_left': padded_value = np.full([batch_size, pad_length_left], self._pad_value, dtype=value.dtype) if self._pad_mode == 'post': for i in range(len(value)): end_pos = min(len(value[i]), pad_length_left) if end_pos > 0: padded_value[i][:end_pos] = value[i][:end_pos] elif self._pad_mode == 'pre': for i in range(len(value)): start_pos = min(len(value[i]), pad_length_left) if start_pos > 0: padded_value[i][-start_pos:] = \ value[i][-start_pos:] else: raise ValueError('{} is not a vaild ' 'pad mode.'.format(self._pad_mode)) elif key == 'text_right': padded_value = np.full([batch_size, pad_length_right], self._pad_value, dtype=value.dtype) if self._pad_mode == 'post': for i in range(len(value)): end_pos = min(len(value[i]), pad_length_right) if end_pos > 0: padded_value[i][:end_pos] = value[i][:end_pos] elif self._pad_mode == 'pre': for i in range(len(value)): start_pos = min(len(value[i]), pad_length_right) if start_pos > 0: padded_value[i][-start_pos:] = \ value[i][-start_pos:] else: raise ValueError('{} is not a vaild ' 'pad mode.'.format(self._pad_mode)) else: # key == 'match_histogram' padded_value = np.full( [batch_size, pad_length_left, bin_size], self._pad_value, dtype=value.dtype) if self._pad_mode == 'post': for i in range(len(value)): end_pos = min(len(value[i]), pad_length_left) if end_pos > 0: padded_value[i][:end_pos] = value[i][:end_pos] elif self._pad_mode == 'pre': for i in range(len(value)): start_pos = min(len(value[i]), pad_length_left) if start_pos > 0: padded_value[i][-start_pos:] = \ value[i][-start_pos:] else: raise ValueError('{} is not a vaild ' 'pad mode.'.format(self._pad_mode)) x[key] = padded_value class CDSSMPadding(BaseCallback): """ Pad data for cdssm preprocessor. :param fixed_length_left: Integer. If set, `text_left` will be padded to this length. :param fixed_length_right: Integer. If set, `text_right` will be padded to this length. :param pad_value: the value to fill text. :param pad_mode: String, `pre` or `post`: pad either before or after each sequence. """ def __init__( self, fixed_length_left: int = None, fixed_length_right: int = None, pad_value: typing.Union[int, str] = 0, pad_mode: str = 'pre', ): """Init.""" self._fixed_length_left = fixed_length_left self._fixed_length_right = fixed_length_right self._pad_value = pad_value self._pad_mode = pad_mode def on_batch_unpacked(self, x: dict, y: np.ndarray): """Pad `x['text_left']` and `x['text_right]`.""" pad_length_left = 0 pad_length_right = 0 batch_size = len(x['id_left']) max_length_left = max(x['length_left']) max_length_right = max(x['length_right']) vocab_size = len(x['text_left'][0][0]) if self._fixed_length_left is None: pad_length_left = max_length_left else: pad_length_left = self._fixed_length_left if self._fixed_length_right is None: pad_length_right = max_length_right else: pad_length_right = self._fixed_length_right for key, value in x.items(): if key == 'text_left': padded_value = np.full( [batch_size, pad_length_left, vocab_size], fill_value=0, dtype=value.dtype) if self._pad_mode == 'post': for i in range(batch_size): left_len = np.array(value[i]).shape[0] end_pos = min(left_len, pad_length_left) if end_pos > 0: padded_value[i][:end_pos] = value[i][:end_pos] if end_pos < pad_length_left: padded_value[i, end_pos:, self._pad_value] = \ [1] * (pad_length_left - end_pos) elif self._pad_mode == 'pre': for i in range(batch_size): left_len = np.array(value[i]).shape[0] start_pos = min(left_len, pad_length_left) if start_pos > 0: padded_value[i][-start_pos:] = \ value[i][-start_pos:] if start_pos < pad_length_left: padded_value[i, :-start_pos, self._pad_value] = \ [1] * (pad_length_left - start_pos) else: raise ValueError('{} is not a vaild ' 'pad mode.'.format(self._pad_mode)) elif key == 'text_right': padded_value = np.full( [batch_size, pad_length_right, vocab_size], fill_value=0, dtype=value.dtype) if self._pad_mode == 'post': for i in range(batch_size): right_len = np.array(value[i]).shape[0] end_pos = min(right_len, pad_length_right) if end_pos > 0: padded_value[i][:end_pos] = value[i][:end_pos] if end_pos < pad_length_right: padded_value[i, end_pos:, self._pad_value] = \ [1] * (pad_length_right - end_pos) elif self._pad_mode == 'pre': for i in range(batch_size): right_len = np.array(value[i]).shape[0] start_pos = min(right_len, pad_length_right) if start_pos > 0: padded_value[i][-start_pos:] = \ value[i][-start_pos:] if start_pos < pad_length_right: padded_value[i, :-start_pos, self._pad_value] = \ [1] * (pad_length_right - start_pos) else: raise ValueError('{} is not a vaild ' 'pad mode.'.format(self._pad_mode)) else: continue x[key] = padded_value class BertPadding(BaseCallback): """ Pad data for bert preprocessor. :param fixed_length_left: Integer. If set, `text_left` will be padded to this length. :param fixed_length_right: Integer. If set, `text_right` will be padded to this length. :param pad_value: the value to fill text. :param pad_mode: String, `pre` or `post`: pad either before or after each sequence. """ def __init__( self, fixed_length_left: int = None, fixed_length_right: int = None, pad_value: typing.Union[int, str] = 0, pad_mode: str = 'pre', ): """Init.""" self._padding = BasicPadding(fixed_length_left=fixed_length_left, fixed_length_right=fixed_length_right, pad_value=pad_value, pad_mode=pad_mode) def on_batch_unpacked(self, x: dict, y: np.ndarray): """Pad `x['text_left']` and `x['text_right]`.""" self._padding.on_batch_unpacked(x, y) x['text_left'] = np.insert(x['text_left'], 0, 101, axis=1) x['text_right'] = np.insert(x['text_right'], 0, 102, axis=1) SEP = [[102]] * len(x['text_right']) x['text_right'] = np.append(x['text_right'], SEP, axis=1)

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0

7

fd6d1a0dad7ae2801f26b51cf285f7cff5b4f731

107,493

py

Python

catalog/migrations/0001_initial.py

ruettet/StageBrainz

9e89adf1d55119b49b55560411c3ea8a27f9a6ab

[ "Apache-2.0" ]

3

2019-11-03T10:21:56.000Z

2022-02-22T15:08:34.000Z

catalog/migrations/0001_initial.py

ruettet/StageBrainz

9e89adf1d55119b49b55560411c3ea8a27f9a6ab

[ "Apache-2.0" ]

62

2019-10-29T07:29:21.000Z

2022-02-10T11:40:52.000Z

catalog/migrations/0001_initial.py

ruettet/StageBrainz

9e89adf1d55119b49b55560411c3ea8a27f9a6ab

[ "Apache-2.0" ]

null

# Generated by Django 2.2.6 on 2019-12-02 20:25 from django.db import migrations, models import django.db.models.deletion import partial_date.fields class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='EntityCharacter', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_type_str', models.CharField(blank=True, max_length=200, null=True)), ('name', models.CharField(default='', max_length=200)), ('sort_name', models.CharField(default='', max_length=200)), ('disambiguation', models.CharField(default='', max_length=200)), ], options={ 'ordering': ['sort_name'], 'abstract': False, }, ), migrations.CreateModel( name='EntityCharacterAliasType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ], ), migrations.CreateModel( name='EntityCharacterType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityGenre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_type_str', models.CharField(blank=True, max_length=200, null=True)), ('name', models.CharField(default='', max_length=200)), ('sort_name', models.CharField(default='', max_length=200)), ('disambiguation', models.CharField(default='', max_length=200)), ], options={ 'ordering': ['sort_name'], 'abstract': False, }, ), migrations.CreateModel( name='EntityGenreAliasType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityGenreType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityOrganity', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_type_str', models.CharField(blank=True, max_length=200, null=True)), ('name', models.CharField(default='', max_length=200)), ('sort_name', models.CharField(default='', max_length=200)), ('disambiguation', models.CharField(default='', max_length=200)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ], options={ 'ordering': ['sort_name'], 'abstract': False, }, ), migrations.CreateModel( name='EntityOrganityAliasType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityOrganityType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityProduction', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_type_str', models.CharField(blank=True, max_length=200, null=True)), ('name', models.CharField(default='', max_length=200)), ('sort_name', models.CharField(default='', max_length=200)), ('disambiguation', models.CharField(default='', max_length=200)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ], options={ 'ordering': ['sort_name'], 'abstract': False, }, ), migrations.CreateModel( name='EntityProductionType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityShow', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_type_str', models.CharField(blank=True, max_length=200, null=True)), ('name', models.CharField(default='', max_length=200)), ('sort_name', models.CharField(default='', max_length=200)), ('disambiguation', models.CharField(default='', max_length=200)), ('when_date', partial_date.fields.PartialDateField(blank=True, null=True)), ('when_time', models.TimeField(blank=True, null=True)), ], options={ 'ordering': ['-when_date', '-when_time'], }, ), migrations.CreateModel( name='EntityShowType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityUrl', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_type_str', models.CharField(blank=True, max_length=200, null=True)), ('disambiguation', models.CharField(default='', max_length=200)), ('name', models.URLField()), ], options={ 'ordering': ['name'], }, ), migrations.CreateModel( name='EntityUrlType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityWork', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_type_str', models.CharField(blank=True, max_length=200, null=True)), ('name', models.CharField(default='', max_length=200)), ('sort_name', models.CharField(default='', max_length=200)), ('disambiguation', models.CharField(default='', max_length=200)), ('start_date', models.CharField(default='', max_length=10)), ('isbn', models.CharField(blank=True, max_length=20, null=True)), ], options={ 'ordering': ['sort_name'], 'abstract': False, }, ), migrations.CreateModel( name='EntityWorkAliasType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ], ), migrations.CreateModel( name='EntityWorkType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='Locale', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('abbreviation', models.CharField(max_length=10)), ('name', models.CharField(max_length=100)), ('description', models.CharField(max_length=200)), ], ), migrations.CreateModel( name='RelationCharacterCharacterType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationCharacterGenreType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationCharacterUrlType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationGenreGenreType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationGenreUrlType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityCharacterType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityGenreType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityOrganityType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityUrlType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityWorkType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionCharacterType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionGenreType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionOrganityType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionProductionType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionUrlType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionWorkType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowCharacterType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowGenreType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowOrganityType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowProductionType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowShowType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowUrlType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowWorkType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationUrlUrlType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationWorkCharacterType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationWorkGenreType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationWorkUrlType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationWorkWorkType', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('inverted_name', models.CharField(max_length=200)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='Season', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ], ), migrations.CreateModel( name='RelationWorkWork', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkwork_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkwork_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkwork_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkwork_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkwork_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='worka', to='catalog.EntityWork')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='workb', to='catalog.EntityWork')), ('relation_type', models.ManyToManyField(to='catalog.RelationWorkWorkType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationWorkUrl', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkurl_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkurl_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkurl_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkurl_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkurl_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityWork')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityUrl')), ('relation_type', models.ManyToManyField(to='catalog.RelationWorkUrlType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationWorkGenre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkgenre_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkgenre_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkgenre_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkgenre_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkgenre_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityWork')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityGenre')), ('relation_type', models.ManyToManyField(to='catalog.RelationWorkGenreType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationWorkCharacter', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkcharacter_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkcharacter_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkcharacter_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkcharacter_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationworkcharacter_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityWork')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityCharacter')), ('relation_type', models.ManyToManyField(to='catalog.RelationWorkCharacterType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationUrlUrl', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationurlurl_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationurlurl_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationurlurl_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationurlurl_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationurlurl_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='urla', to='catalog.EntityUrl')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='urlb', to='catalog.EntityUrl')), ('relation_type', models.ManyToManyField(to='catalog.RelationUrlUrlType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowWork', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowwork_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowwork_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowwork_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowwork_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowwork_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityShow')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityWork')), ('relation_type', models.ManyToManyField(to='catalog.RelationShowWorkType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowUrl', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowurl_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowurl_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowurl_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowurl_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowurl_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityShow')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityUrl')), ('relation_type', models.ManyToManyField(to='catalog.RelationShowUrlType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowShow', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowshow_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowshow_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowshow_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowshow_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowshow_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='showa', to='catalog.EntityShow')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='showb', to='catalog.EntityShow')), ('relation_type', models.ManyToManyField(to='catalog.RelationShowShowType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowProduction', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowproduction_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowproduction_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowproduction_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowproduction_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowproduction_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityShow')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityProduction')), ('relation_type', models.ManyToManyField(to='catalog.RelationShowProductionType')), ], options={ 'ordering': ['entity_a'], }, ), migrations.CreateModel( name='RelationShowOrganity', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshoworganity_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshoworganity_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshoworganity_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshoworganity_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshoworganity_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityShow')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityOrganity')), ('relation_type', models.ManyToManyField(to='catalog.RelationShowOrganityType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowGenre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowgenre_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowgenre_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowgenre_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowgenre_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowgenre_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityShow')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityGenre')), ('relation_type', models.ManyToManyField(to='catalog.RelationShowGenreType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationShowCharacter', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowcharacter_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowcharacter_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowcharacter_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowcharacter_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationshowcharacter_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityShow')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityCharacter')), ('relation_type', models.ManyToManyField(to='catalog.RelationShowCharacterType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionWork', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionwork_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionwork_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionwork_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionwork_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionwork_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityProduction')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityWork')), ('relation_type', models.ManyToManyField(to='catalog.RelationProductionWorkType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionUrl', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionurl_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionurl_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionurl_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionurl_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionurl_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityProduction')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityUrl')), ('relation_type', models.ManyToManyField(to='catalog.RelationProductionUrlType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionProduction', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionproduction_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionproduction_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionproduction_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionproduction_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionproduction_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='productiona', to='catalog.EntityProduction')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='productionb', to='catalog.EntityProduction')), ('relation_type', models.ManyToManyField(to='catalog.RelationProductionProductionType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionOrganity', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionorganity_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionorganity_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionorganity_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionorganity_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductionorganity_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityProduction')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityOrganity')), ('relation_type', models.ManyToManyField(to='catalog.RelationProductionOrganityType')), ], options={ 'ordering': ['-highlighted_relation', 'entity_b'], }, ), migrations.CreateModel( name='RelationProductionGenre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductiongenre_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductiongenre_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductiongenre_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductiongenre_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductiongenre_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityProduction')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityGenre')), ('relation_type', models.ManyToManyField(to='catalog.RelationProductionGenreType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationProductionCharacter', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductioncharacter_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductioncharacter_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductioncharacter_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductioncharacter_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationproductioncharacter_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityProduction')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityCharacter')), ('relation_type', models.ManyToManyField(to='catalog.RelationProductionCharacterType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityWork', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitywork_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitywork_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitywork_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitywork_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitywork_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityOrganity')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityWork')), ('relation_type', models.ManyToManyField(to='catalog.RelationOrganityWorkType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityUrl', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityurl_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityurl_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityurl_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityurl_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityurl_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityOrganity')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityUrl')), ('relation_type', models.ManyToManyField(to='catalog.RelationOrganityUrlType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityOrganity', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityorganity_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityorganity_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityorganity_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityorganity_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganityorganity_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='organitya', to='catalog.EntityOrganity')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='organityb', to='catalog.EntityOrganity')), ('relation_type', models.ManyToManyField(to='catalog.RelationOrganityOrganityType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityGenre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitygenre_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitygenre_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitygenre_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitygenre_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitygenre_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityOrganity')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityGenre')), ('relation_type', models.ManyToManyField(to='catalog.RelationOrganityGenreType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationOrganityCharacter', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitycharacter_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitycharacter_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitycharacter_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitycharacter_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationorganitycharacter_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityOrganity')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityCharacter')), ('relation_type', models.ManyToManyField(to='catalog.RelationOrganityCharacterType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationGenreUrl', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenreurl_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenreurl_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenreurl_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenreurl_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenreurl_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityGenre')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityUrl')), ('relation_type', models.ManyToManyField(to='catalog.RelationGenreUrlType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationGenreGenre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenregenre_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenregenre_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenregenre_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenregenre_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationgenregenre_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='genrea', to='catalog.EntityGenre')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='genreb', to='catalog.EntityGenre')), ('relation_type', models.ManyToManyField(to='catalog.RelationGenreGenreType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationCharacterUrl', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharacterurl_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharacterurl_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharacterurl_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharacterurl_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharacterurl_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityCharacter')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityUrl')), ('relation_type', models.ManyToManyField(to='catalog.RelationCharacterUrlType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationCharacterGenre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactergenre_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactergenre_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactergenre_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactergenre_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactergenre_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityCharacter')), ('entity_b', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityGenre')), ('relation_type', models.ManyToManyField(to='catalog.RelationCharacterGenreType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RelationCharacterCharacter', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entity_a_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('entity_b_credited_as', models.CharField(blank=True, max_length=200, null=True)), ('relation_name', models.CharField(blank=True, max_length=200, null=True)), ('start_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('end_date', partial_date.fields.PartialDateField(blank=True, default=None, null=True)), ('highlighted_relation', models.BooleanField(blank=True, null=True)), ('inverted_relation', models.BooleanField(default=False)), ('context_of_production_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_show_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_work_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_organity_str', models.CharField(blank=True, max_length=200, null=True)), ('context_of_character', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactercharacter_context_character', to='catalog.EntityCharacter')), ('context_of_organity', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactercharacter_context_organity', to='catalog.EntityOrganity')), ('context_of_production', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactercharacter_context_production', to='catalog.EntityProduction')), ('context_of_show', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactercharacter_context_show', to='catalog.EntityShow')), ('context_of_work', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='relationcharactercharacter_context_work', to='catalog.EntityWork')), ('entity_a', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='charactera', to='catalog.EntityCharacter')), ('entity_b', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='characterb', to='catalog.EntityCharacter')), ('relation_type', models.ManyToManyField(to='catalog.RelationCharacterCharacterType')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='EntityWorkAlias', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('alias_type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityWorkAliasType')), ('locale', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.Locale')), ('super_entity', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityWork')), ], options={ 'abstract': False, }, ), migrations.AddField( model_name='entitywork', name='entity_type', field=models.ManyToManyField(blank=True, to='catalog.EntityWorkType'), ), migrations.AddField( model_name='entityurl', name='entity_type', field=models.ManyToManyField(blank=True, to='catalog.EntityUrlType'), ), migrations.AddField( model_name='entityshow', name='entity_type', field=models.ManyToManyField(blank=True, to='catalog.EntityShowType'), ), migrations.AddField( model_name='entityproduction', name='entity_type', field=models.ManyToManyField(blank=True, to='catalog.EntityProductionType'), ), migrations.AddField( model_name='entityproduction', name='season', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.Season'), ), migrations.CreateModel( name='EntityOrganityAlias', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('alias_type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityOrganityAliasType')), ('locale', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.Locale')), ('super_entity', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityOrganity')), ], options={ 'abstract': False, }, ), migrations.AddField( model_name='entityorganity', name='entity_type', field=models.ManyToManyField(blank=True, to='catalog.EntityOrganityType'), ), migrations.CreateModel( name='EntityGenreAlias', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('alias_type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityGenreAliasType')), ('locale', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='catalog.Locale')), ('super_entity', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityGenre')), ], options={ 'abstract': False, }, ), migrations.AddField( model_name='entitygenre', name='entity_type', field=models.ManyToManyField(blank=True, to='catalog.EntityGenreType'), ), migrations.CreateModel( name='EntityCharacterAlias', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('alias_type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityCharacterAliasType')), ('super_entity', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='catalog.EntityCharacter')), ], ), migrations.AddField( model_name='entitycharacter', name='entity_type', field=models.ManyToManyField(blank=True, to='catalog.EntityCharacterType'), ), ]

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Python

Technical_Indicators/MACD.py

vhn0912/Finance

39cf49d4d778d322537531cee4ce3981cc9951f9

[ "MIT" ]

441

2020-04-22T02:21:19.000Z

2022-03-29T15:00:24.000Z

Technical_Indicators/MACD.py

happydasch/Finance

4f6c5ea8f60fb0dc3b965ffb9628df83c2ecef35

[ "MIT" ]

5

2020-07-06T15:19:58.000Z

2021-07-23T18:32:29.000Z

Technical_Indicators/MACD.py

happydasch/Finance

4f6c5ea8f60fb0dc3b965ffb9628df83c2ecef35

[ "MIT" ]

111

2020-04-21T11:40:39.000Z

2022-03-20T07:26:17.000Z

import numpy as np import pandas as pd import matplotlib.pyplot as plt import warnings warnings.filterwarnings("ignore") import yfinance as yf yf.pdr_override() import datetime as dt # input symbol = 'FB' start = dt.date.today() - dt.timedelta(days = 365*3) end = dt.date.today() # Read data df = yf.download(symbol,start,end) import talib as ta df['macd'], df['macdsignal'], df['macdhist'] = ta.MACD(df['Adj Close'], fastperiod=12, slowperiod=26, signalperiod=9) df = df.dropna() # Line Chart fig = plt.figure(figsize=(14,7)) ax1 = plt.subplot(2, 1, 1) ax1.plot(df.index, df['Adj Close']) ax1.axhline(y=df['Adj Close'].mean(),color='r') ax1.grid() #ax1.grid(True, which='both') #ax1.grid(which='minor', linestyle='-', linewidth='0.5', color='black') #ax1.grid(which='major', linestyle='-', linewidth='0.5', color='red') #ax1.minorticks_on() #ax1.legend(loc='best') ax1v = ax1.twinx() ax1v.fill_between(df.index[0:],0, df.Volume[0:], facecolor='#0079a3', alpha=0.4) ax1v.axes.yaxis.set_ticklabels([]) ax1v.set_ylim(0, 3*df.Volume.max()) ax1.set_title('Stock '+ symbol +' Closing Price') ax1.set_ylabel('Price') labels = ['macd','macdsignal'] ax2 = plt.subplot(2, 1, 2) ax2.plot(df[['macd','macdsignal']], label=labels) ax2.bar(df.index, df['macdhist'], label='macdhist') ax2.grid() ax2.set_ylabel('MACD') ax2.set_xlabel('Date') ax2.legend(loc='best') plt.show() # Line Chart fig = plt.figure(figsize=(14,7)) ax1 = plt.subplot(2, 1, 1) ax1.plot(df.index, df['Adj Close']) ax1.axhline(y=df['Adj Close'].mean(),color='r') ax1.grid() #ax1.grid(True, which='both') #ax1.grid(which='minor', linestyle='-', linewidth='0.5', color='black') #ax1.grid(which='major', linestyle='-', linewidth='0.5', color='red') #ax1.minorticks_on() #ax1.legend(loc='best') ax1v = ax1.twinx() ax1v.fill_between(df.index[0:],0, df.Volume[0:], facecolor='#0079a3', alpha=0.4) ax1v.axes.yaxis.set_ticklabels([]) ax1v.set_ylim(0, 3*df.Volume.max()) ax1.set_title('Stock '+ symbol +' Closing Price') ax1.set_ylabel('Price') labels = ['macd','macdsignal'] ax2 = plt.subplot(2, 1, 2) df['positive'] = df['macdhist'] > 0 ax2.plot(df[['macd','macdsignal']], label=labels) ax2.bar(df.index, df['macdhist'], color=df.positive.map({True: 'g', False: 'r'}), label='macdhist') ax2.grid() ax2.set_ylabel('MACD') ax2.set_xlabel('Date') ax2.legend(loc='best') plt.show() # ## Candlestick with MACD from matplotlib import dates as mdates dfc = df.copy() dfc['macd'], dfc['macdsignal'], dfc['macdhist'] = ta.MACD(dfc['Adj Close'], fastperiod=12, slowperiod=26, signalperiod=9) dfc['VolumePositive'] = dfc['Open'] < dfc['Adj Close'] dfc = dfc.dropna() dfc = dfc.reset_index() dfc['Date'] = mdates.date2num(dfc['Date'].tolist()) from mplfinance.original_flavor import candlestick_ohlc fig = plt.figure(figsize=(14,7)) ax1 = plt.subplot(2, 1, 1) candlestick_ohlc(ax1,dfc.values, width=0.5, colorup='g', colordown='r', alpha=1.0) ax1.xaxis_date() ax1.xaxis.set_major_formatter(mdates.DateFormatter('%d-%m-%Y')) ax1.grid(True, which='both') ax1.minorticks_on() ax1v = ax1.twinx() ax1v.fill_between(dfc.Date, 0, dfc.Volume[0:], facecolor='#0079a3', alpha=0.4) ax1v.axes.yaxis.set_ticklabels([]) ax1v.set_ylim(0, 3*df.Volume.max()) ax1.set_title('Stock '+ symbol +' Closing Price') ax1.set_ylabel('Price') labels = ['macd','macdsignal'] ax2 = plt.subplot(2, 1, 2) ax2.plot(df[['macd','macdsignal']], label=labels) ax2.bar(df.index, df['macdhist'], label='macdhist') ax2.grid() ax2.set_xlabel('Date') ax2.legend(loc='best') plt.show() fig = plt.figure(figsize=(14,7)) ax1 = plt.subplot(2, 1, 1) candlestick_ohlc(ax1,dfc.values, width=0.5, colorup='g', colordown='r', alpha=1.0) ax1.xaxis_date() ax1.xaxis.set_major_formatter(mdates.DateFormatter('%d-%m-%Y')) ax1.grid(True, which='both') ax1.minorticks_on() ax1v = ax1.twinx() colors = dfc.VolumePositive.map({True: 'g', False: 'r'}) ax1v.bar(dfc.Date, dfc['Volume'], color=colors, alpha=0.4) ax1v.axes.yaxis.set_ticklabels([]) ax1v.set_ylim(0, 3*df.Volume.max()) ax1.set_title('Stock '+ symbol +' Closing Price') ax1.set_ylabel('Price') labels = ['macd','macdsignal'] ax2 = plt.subplot(2, 1, 2) df['positive'] = df['macdhist'] > 0 ax2.plot(df[['macd','macdsignal']], label=labels) ax2.bar(df.index, df['macdhist'], color=df.positive.map({True: 'g', False: 'r'}), label='macdhist') ax2.grid() ax2.set_ylabel('MACD') ax2.set_xlabel('Date') ax2.legend(loc='best') plt.show() fig = plt.figure(figsize=(14,7)) ax1 = plt.subplot(3, 1, 1) candlestick_ohlc(ax1,dfc.values, width=0.5, colorup='g', colordown='r', alpha=1.0) ax1.xaxis_date() ax1.xaxis.set_major_formatter(mdates.DateFormatter('%d-%m-%Y')) ax1.grid(True, which='both') ax1.minorticks_on() ax1v = ax1.twinx() colors = dfc.VolumePositive.map({True: 'g', False: 'r'}) ax1v.bar(dfc.Date, dfc['Volume'], color=colors, alpha=0.4) ax1v.axes.yaxis.set_ticklabels([]) ax1v.set_ylim(0, 3*df.Volume.max()) ax1.set_title('Stock '+ symbol +' Closing Price') ax1.set_ylabel('Price') labels = ['macd','macdsignal'] ax2 = plt.subplot(3, 1, 2) df['positive'] = df['macdhist'] > 0 ax2.plot(df[['macd','macdsignal']], label=labels) ax2.bar(df.index, df['macdhist'], color=df.positive.map({True: 'g', False: 'r'}), label='macdhist') ax2.grid() ax2.set_ylabel('MACD') ax2.set_xlabel('Date') ax2.legend(loc='best') ax3 = plt.subplot(3, 1, 3) ax3.bar(dfc.Date, dfc['Volume'], color=dfc.VolumePositive.map({True: 'g', False: 'r'})) ax3.grid() ax3.set_ylabel('Volume') ax3.set_xlabel('Date') plt.show()

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7

fdbf3142ae2cdfa1f8c6da2c804e0633d873d144

11,563

py

Python

ingestion/functions/parsing/variants/variants_test.py

globaldothealth/list

26e63c83e0066aa57a341c1b2282c7f4d6bbd6f0

[ "MIT" ]

25

2020-09-01T23:03:21.000Z

2022-01-12T08:08:31.000Z

ingestion/functions/parsing/variants/variants_test.py

globaldothealth/list

26e63c83e0066aa57a341c1b2282c7f4d6bbd6f0

[ "MIT" ]

1,342

2020-07-27T09:51:00.000Z

2022-03-31T17:03:35.000Z

ingestion/functions/parsing/variants/variants_test.py

open-covid-data/healthmap-gdo-temp

5af5c9e2f7dcefa9039dc6b3a2e2c5094566fc2e

[ "MIT" ]

7

2020-08-31T00:15:17.000Z

2020-11-17T12:01:03.000Z

import os import unittest from variants import variants _SOURCE_ID = "placeholder_ID" _SOURCE_URL = "placeholder_URL" class VariantsTest(unittest.TestCase): def setUp(self): self.maxDiff = 5000 def test_parse(self): current_dir = os.path.dirname(__file__) sample_data_file = os.path.join(current_dir, "sample_data.csv") result = variants.parse_cases( sample_data_file, _SOURCE_ID, _SOURCE_URL) self.assertCountEqual(list(result), [{'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://www.wtoc.com/2021/01/28/health-department-nations-first-cases-south-african-covid-variant-found-sc/', 'sourceEntryId': 'voc_1'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/28/2020Z', 'end': '12/28/2020Z'}}], 'demographics': {'ageRange': {'start': 18.0, 'end': 120.0}}, 'location': {'query': 'South Carolina, United States'}, 'travelHistory': {'traveledPrior30Days': False}, 'notes': 'Lowcountry region'}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://www.wtoc.com/2021/01/28/health-department-nations-first-cases-south-african-covid-variant-found-sc/', 'sourceEntryId': 'voc_2'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/28/2020Z', 'end': '12/28/2020Z'}}], 'demographics': {'ageRange': {'start': 18.0, 'end': 120.0}}, 'location': {'query': 'South Carolina, United States'}, 'travelHistory': {'traveledPrior30Days': False}, 'notes': 'Pee Dee region'}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://www.theguardian.com/world/2021/jan/27/encouraging-signs-new-zealand-hopes-for-covid-all-clear-after-no-new-cases-reported', 'sourceEntryId': 'voc_3'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '01/24/2021Z', 'end': '01/27/2021Z'}}], 'additionalSources': ['https://www.theguardian.com/world/2021/jan/24/new-zealand-records-first-covid-community-case-intwo-months'], 'demographics': {'ageRange': {'start': 56.0, 'end': 56.0}, 'nationalities': ['New Zealander'], 'gender': 'Female'}, 'location': {'query': 'Auckland, Auckland, New Zealand'}, 'travelHistory': {'traveledPrior30Days': True, 'travel': [{'methods': ['Flight'], 'location': {'query': 'London, United Kingdom'}, 'dateRange': {'start': '12/30/2020Z', 'end': '12/30/2020Z'}}]}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://www.theguardian.com/world/2021/jan/27/encouraging-signs-new-zealand-hopes-for-covid-all-clear-after-no-new-cases-reported', 'sourceEntryId': 'voc_4'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '01/27/2021Z', 'end': '01/27/2021Z'}}], 'location': {'query': 'Auckland, Auckland, New Zealand'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://www.theguardian.com/world/2021/jan/27/encouraging-signs-new-zealand-hopes-for-covid-all-clear-after-no-new-cases-reported', 'sourceEntryId': 'voc_5'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '01/27/2021Z', 'end': '01/27/2021Z'}}], 'location': {'query': 'Auckland, Auckland, New Zealand'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_6'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_7'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_8'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_9'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_10'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_11'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_12'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_13'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_14'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_15'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_16'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_17'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_18'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_19'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_20'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_21'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_22'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_23'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_24'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_25'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_26'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://twitter.com/danieljbridges/status/1344227535870164992', 'sourceEntryId': 'voc_27'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/23/2020Z', 'end': '12/23/2020Z'}}], 'location': {'query': 'Zambia'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://www.sabcnews.com/sabcnews/botswana-government-adjusts-national-lockdown-regulations/', 'sourceEntryId': 'voc_28'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '01/01/2021Z', 'end': '01/07/2021Z'}}], 'location': {'query': 'Botswana'}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://www.france24.com/en/france/20201231-france-detects-first-case-of-south-african-strain-of-covid-19', 'sourceEntryId': 'voc_29'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '12/31/2020Z', 'end': '12/31/2020Z'}}], 'location': {'query': 'Haut-Rhin, France'}, 'travelHistory': {'traveledPrior30Days': True, 'travel': [{'methods': ['Flight'], 'location': {'query': 'South Africa'}}]}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'http://outbreaknewstoday.com/sweden-reports-1st-south-african-covid-19-virus-variant-49394/', 'sourceEntryId': 'voc_30'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '01/03/2021Z', 'end': '01/03/2021Z'}}], 'location': {'query': 'Sweden'}, 'travelHistory': {'traveledPrior30Days': True, 'travel': [{'location': {'query': 'South Africa'}}]}}, {'caseReference': {'sourceId': 'placeholder_ID', 'sourceUrl': 'https://www.vg.no/nyheter/innenriks/i/rgzer8/mer-smittsom-virusmutasjon-fra-soer-afrika-paavist-i-norge', 'sourceEntryId': 'voc_31'}, 'events': [{'name': 'confirmed', 'dateRange': {'start': '01/04/2021Z', 'end': '01/04/2021Z'}}], 'location': {'query': 'Norway'}, 'travelHistory': {'traveledPrior30Days': True, 'travel': [{'methods': ['Flight'], 'location': {'query': 'South Africa'}, 'dateRange': {'start': '12/31/2020Z', 'end': '12/01/2020Z'}}]}}])

50.49345

148

0.640751

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0.155574

0.024031

0.054069

0.14391

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0.839569

0.812534

0.79178

0.780857

0.765838

0

0.10675

0.112082

11,563

228

149

50.714912

0.606604

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0

0.044843

0.654761

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false

0

0.013453

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0.026906

0

null

0

1

0

1

0

null

0

7

fdd6e2638bc82c495a99fa923d03b68229ae2966

10,370

py

Python

examples/tof-viewer/external/newton_host_driver/src/host_api/examples/python/tests/dms_eval_tests/fc_asm_mscm_xtal/fc_asm_mscm_xtal.py

rick-yhchen1013/aditof-sdk-rework

911465dd1e05dd0b1c5107197b3b4dc3a10f77f9

[ "MIT" ]

5

2021-09-22T10:04:47.000Z

2022-02-08T17:55:09.000Z

examples/tof-viewer/external/newton_host_driver/src/host_api/examples/python/tests/dms_eval_tests/fc_asm_mscm_xtal/fc_asm_mscm_xtal.py

rick-yhchen1013/aditof-sdk-rework

911465dd1e05dd0b1c5107197b3b4dc3a10f77f9

[ "MIT" ]

99

2021-02-01T12:45:09.000Z

2022-03-08T09:54:13.000Z

examples/tof-viewer/external/newton_host_driver/src/host_api/examples/python/tests/dms_eval_tests/fc_asm_mscm_xtal/fc_asm_mscm_xtal.py

rick-yhchen1013/aditof-sdk-rework

911465dd1e05dd0b1c5107197b3b4dc3a10f77f9

[ "MIT" ]

4

2021-08-09T12:32:55.000Z

2021-12-13T05:38:55.000Z

#!/usr/bin/env python """ Script generated from simulation of the fc_asm_mscm_xtal test case. Usage: fc_asm_mscm_xtal.py [--no_reset] Options: --help Shows this help message. """ from __future__ import print_function from __future__ import absolute_import from __future__ import unicode_literals from docopt import docopt import sys import io import os import time import struct import subprocess import ctypes from collections import OrderedDict import threading from newton_control_main import newton as newton if __name__ == "__main__": performReset = True args = docopt(__doc__, version='0.1') rc = newton.adi_newton_config( 0 ) if rc != 0: print( "ERROR: newton.adi_newton_config return an error (" + str( rc ) + ")." ) sys.exit( rc ) if args['--no_reset']: performReset = False if performReset == True: newton.adi_reset_newton( newton.PIN_MODE_HSP_DEBUG ) newton.adi_check_register_py( 0x0142, 0x0500 ) # pll_status newton.adi_write_register( 0x0114, 0x000f ) # ckgen_ctrl newton.adi_write_register( 0x0140, 0x0332 ) # pll_ctrl newton.adi_write_register( 0x0140, 0x0330 ) # pll_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0142, 0x0500 ) # pll_status newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0142, 0x0501 ) # pll_status newton.adi_write_register( 0x0138, 0x00a0 ) # lsctrl0_s1 newton.adi_write_register( 0x013a, 0x0005 ) # lsmod_en newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x000e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x100e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x200e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x300e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x400e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x500e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x600e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x700e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x800e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0x900e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0xa00e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0xb00e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0xc00e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0xd00e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0xe00e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0158, 0xf00e ) # sspll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0140, 0x0233 ) # pll_ctrl newton.adi_write_register( 0x0140, 0x0033 ) # pll_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0142, 0x0502 ) # pll_status newton.adi_write_register( 0x018e, 0x8a2a ) # ana_serial_spare_0 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0138, 0x00c0 ) # lsctrl0_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x018e, 0x8aea ) # ana_serial_spare_0 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0138, 0x00b0 ) # lsctrl0_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x0140, 0x0323 ) # pll_ctrl newton.adi_write_register( 0x0140, 0x0303 ) # pll_ctrl newton.adi_write_register( 0x0118, 0x0000 ) # clk_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0142, 0x0512 ) # pll_status newton.adi_write_register( 0x0138, 0x000a ) # lsctrl0_s1 newton.adi_write_register( 0x010a, 0x0114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x1114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x2114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x3114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x4114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x5114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x6114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x7114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x8114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0x9114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0xa114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl newton.adi_write_register( 0x010a, 0xb114 ) # adcpll_ctrl2_s1 newton.adi_write_register( 0x0150, 0x0105 ) # regif_ctrl newton.adi_check_register_py( 0x0032, 0x0000 ) # errorStatus newton.adi_check_register_py( 0x0150, 0x0101 ) # regif_ctrl

52.908163

85

0.771938

1,407

10,370

5.285004

0.105188

0.186391

0.143088

0.224852

0.874126

0.871705

0.849247

0.825175

0

0.173268

0.147927

10,370

195

86

53.179487

0.668289

0.193057

0

0.596591

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0

0.008771

0.002924

0

0.220733

0

1

0

false

0

0.079545

0

0.079545

0.011364

0

null

0

1

0

1

0

null

0

8

fde508c121ac1c7efc9c7284b7fdfa3f40b1f644

103

py

Python

img2dataset/__init__.py

heurainbow/img2dataset

3d23d73e6e270a0fa1619e91d7728f87c52d3181

[ "MIT" ]

5

2022-01-16T13:54:52.000Z

2022-03-10T20:27:20.000Z

img2dataset/__init__.py

yogesh-iitj/img2dataset

d4f8d33ce29d771daa1a8124211a820f9f17d149

[ "MIT" ]

null

img2dataset/__init__.py

yogesh-iitj/img2dataset

d4f8d33ce29d771daa1a8124211a820f9f17d149

[ "MIT" ]

null

"""Img2dataset""" from img2dataset.downloader import main from img2dataset.downloader import download

20.6

43

0.825243

11

103

7.727273

0.545455

0.352941

0.588235

0.729412

0

0.032258

0.097087

103

4

44

25.75

0.88172

0.106796

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null

1

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1

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null

0

1

0

1

0

1

0

8

a903ee271ab80a82c67a430d1f69f2022213a4ad

3,117

py

Python

tests/processor/test_ConditionCodeFlags.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

tests/processor/test_ConditionCodeFlags.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

tests/processor/test_ConditionCodeFlags.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

import bitwise as bw class TestConditionCodeFlags: def test_ConditionCodeFlags(self): data_bus = bw.wire.Bus16() overflow = bw.wire.Wire() carry_out = bw.wire.Wire() enable = bw.wire.Wire() clock = bw.wire.Wire() z = bw.wire.Wire() v = bw.wire.Wire() n = bw.wire.Wire() c = bw.wire.Wire() flags = bw.wire.Bus4(z, v, n, c) a = bw.processor.ConditionCodeFlags( data_bus, overflow, carry_out, enable, clock, z, v, n, c ) enable.value = 1 data_bus.wire_values = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1) overflow.value = 0 carry_out.value = 0 clock.value = 0 clock.value = 1 assert flags.wire_values == (0, 0, 0, 0) data_bus.wire_values = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) overflow.value = 0 carry_out.value = 0 clock.value = 0 clock.value = 1 assert flags.wire_values == (1, 0, 0, 0) data_bus.wire_values = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) overflow.value = 1 carry_out.value = 0 clock.value = 0 clock.value = 1 assert flags.wire_values == (1, 1, 0, 0) data_bus.wire_values = (1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) overflow.value = 0 carry_out.value = 0 clock.value = 0 clock.value = 1 assert flags.wire_values == (0, 0, 1, 0) data_bus.wire_values = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1) overflow.value = 0 carry_out.value = 1 clock.value = 0 clock.value = 1 assert flags.wire_values == (0, 0, 0, 1) data_bus.wire_values = (1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) overflow.value = 0 carry_out.value = 1 clock.value = 0 clock.value = 1 assert flags.wire_values == (0, 0, 1, 1) data_bus.wire_values = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) overflow.value = 1 carry_out.value = 1 clock.value = 0 clock.value = 1 assert flags.wire_values == (1, 1, 0, 1) enable.value = 0 data_bus.wire_values = (1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) overflow.value = 0 carry_out.value = 0 clock.value = 0 clock.value = 1 assert flags.wire_values == (1, 1, 0, 1) data_bus.wire_values = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) overflow.value = 0 carry_out.value = 0 clock.value = 0 clock.value = 1 assert flags.wire_values == (1, 1, 0, 1) print(a.__doc__) print(a) a( data_bus=(1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), overflow=0, carry_out=1, enable=1, clock=0, z=None, v=None, n=None, c=None ) a(clock=1) assert flags.wire_values == (0, 0, 1, 1)

28.59633

79

0.466795

498

3,117

2.825301

0.070281

0.220327

0.294243

0.355366

0.72779

0.727079

0.7086

0

0.129747

0.391723

3,117

108

80

28.861111

0.612342

0

0.543478

0

0.108696

1

0.01087

false

0

0.01087

0

0.032609

0.021739

0

null

1

0

1

0

null

0

8

8bf72b6778e26adcc4f198ed7c1fcf053f8c34f0

1,307

py

Python

oxe-api/test/resource/media/test_get_document.py

CybersecurityLuxembourg/openxeco

8d4e5578bde6a07f5d6d569b16b4de224abf7bf0

[ "BSD-2-Clause" ]

null

oxe-api/test/resource/media/test_get_document.py

CybersecurityLuxembourg/openxeco

8d4e5578bde6a07f5d6d569b16b4de224abf7bf0

[ "BSD-2-Clause" ]

null

oxe-api/test/resource/media/test_get_document.py

CybersecurityLuxembourg/openxeco

8d4e5578bde6a07f5d6d569b16b4de224abf7bf0

[ "BSD-2-Clause" ]

null

from datetime import datetime from test.BaseCase import BaseCase class TestGetDocument(BaseCase): @BaseCase.login def test_ok(self, token): self.db.insert({ "id": 50, "filename": "empty_pdf.pdf", "size": 10, "creation_date": datetime.today(), }, self.db.tables["Document"]) response = self.application.get('/media/get_document/empty_pdf.pdf', headers=self.get_standard_header(token)) self.assertEqual(200, response.status_code) @BaseCase.login def test_ok_with_id(self, token): self.db.insert({ "id": 50, "filename": "empty_pdf.pdf", "size": 10, "creation_date": datetime.today(), }, self.db.tables["Document"]) response = self.application.get('/media/get_document/50', headers=self.get_standard_header(token)) self.assertEqual(200, response.status_code) @BaseCase.login def test_unexisting_id(self, token): response = self.application.get('/media/get_document/empty_pdf.pdf', headers=self.get_standard_header(token)) self.assertEqual("422 Object not found", response.status)

31.119048

80

0.577659

140

1,307

5.228571

0.307143

0.061475

0.060109

0.081967

0.803279

0.770492

0

0.020856

0.302984

1,307

41

81

31.878049

0.782656

0

0.733333

0

0.156083

0.06733

0

0.1

1

0.1

false

0

0.066667

0

0.2

0

null

0

1

0

1

0

null

0

7

e31ff98459e9fbb31ea5899eb12f3afa0d1db5cc

4,874

py

Python

data_structures/queues/tests/test_doubly_linked_list_based_deque.py

vinta/fuck-coding-interviews

915ff55963430e81134a35f65f511e5684c52f11

[ "MIT" ]

590

2020-06-17T08:26:47.000Z

2022-03-30T18:47:32.000Z

data_structures/queues/tests/test_doubly_linked_list_based_deque.py

parvathirajan/fuck-coding-interviews

915ff55963430e81134a35f65f511e5684c52f11

[ "MIT" ]

12

2020-07-14T09:24:32.000Z

2020-11-02T03:43:47.000Z

data_structures/queues/tests/test_doubly_linked_list_based_deque.py

parvathirajan/fuck-coding-interviews

915ff55963430e81134a35f65f511e5684c52f11

[ "MIT" ]

75

2020-07-29T06:50:13.000Z

2022-03-13T16:14:57.000Z

# coding: utf-8 import unittest from data_structures.queues.doubly_linked_list_based_deque import DoublyLinkedListBasedDeque class TestCase(unittest.TestCase): def setUp(self): self.deque = DoublyLinkedListBasedDeque() def test_append(self): self.deque.append(0) self.assertEqual(self.deque.linked_list.head.value, 0) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.value, 0) self.assertEqual(self.deque.linked_list.tail.next, None) self.deque.append(1) self.assertEqual(self.deque.linked_list.head.value, 0) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.value, 1) self.assertEqual(self.deque.linked_list.tail.next, None) self.deque.append(2) self.assertEqual(self.deque.linked_list.head.value, 0) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.value, 2) self.assertEqual(self.deque.linked_list.tail.next, None) expected = [0, 1, 2] self.assertEqual(len(self.deque), 3) self.assertEqual(list(self.deque), expected) self.assertEqual(list(reversed(self.deque)), list(reversed(expected))) def test_append_left(self): self.deque.append_left(0) self.assertEqual(self.deque.linked_list.head.value, 0) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.value, 0) self.assertEqual(self.deque.linked_list.tail.next, None) self.deque.append_left(1) self.assertEqual(self.deque.linked_list.head.value, 1) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.value, 0) self.assertEqual(self.deque.linked_list.tail.next, None) self.deque.append_left(2) self.assertEqual(self.deque.linked_list.head.value, 2) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.value, 0) self.assertEqual(self.deque.linked_list.tail.next, None) expected = [2, 1, 0] self.assertEqual(len(self.deque), 3) self.assertEqual(list(self.deque), expected) self.assertEqual(list(reversed(self.deque)), list(reversed(expected))) def test_pop(self): with self.assertRaises(ValueError): print(self.deque.pop()) self.deque.append(0) self.deque.append(1) self.deque.append(2) self.assertEqual(self.deque.pop(), 2) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.next, None) self.assertEqual(self.deque.pop(), 1) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.next, None) self.assertEqual(self.deque.pop(), 0) self.assertEqual(self.deque.linked_list.head, None) self.assertEqual(self.deque.linked_list.tail, None) self.assertEqual(len(self.deque), 0) self.assertEqual(list(self.deque), []) self.assertEqual(list(reversed(self.deque)), []) with self.assertRaises(ValueError): print(self.deque.pop()) def test_pop_left(self): with self.assertRaises(ValueError): print(self.deque.pop_left()) self.deque.append(0) self.deque.append(1) self.deque.append(2) self.assertEqual(self.deque.pop_left(), 0) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.next, None) self.assertEqual(self.deque.pop_left(), 1) self.assertEqual(self.deque.linked_list.head.previous, None) self.assertEqual(self.deque.linked_list.tail.next, None) self.assertEqual(self.deque.pop_left(), 2) self.assertEqual(self.deque.linked_list.head, None) self.assertEqual(self.deque.linked_list.tail, None) self.assertEqual(len(self.deque), 0) self.assertEqual(list(self.deque), []) self.assertEqual(list(reversed(self.deque)), []) with self.assertRaises(ValueError): print(self.deque.pop_left()) def test(self): self.deque.append(0) self.deque.append(1) self.assertEqual(self.deque.pop(), 1) self.deque.append(2) self.deque.append_left(-1) self.assertEqual(self.deque.pop_left(), -1) self.deque.append_left(-2) self.deque.append_left(-3) self.assertEqual(self.deque.linked_list.head.value, -3) self.assertEqual(self.deque.linked_list.tail.value, 2) if __name__ == '__main__': unittest.main()

41.65812

92

0.675421

638

4,874

5.051724

0.070533

0.226187

0.271176

0.342538

0.914366

0.909711

0.892647

0.889544

0.865653

0.762023

0

0.012977

0.193681

4,874

116

93

42.017241

0.807125

0.002667

0

0.693878

0

0.001646

0

0.632653

1

0.061224

false

0

0.020408

0

0.091837

0.040816

0

null

1

0

null

0

1

0

10

8b61c27337f5458ff123c8b47e807593144bfd34

77

py

Python

python/testData/multipleArgumentsCompletion/suggestArgumentsForParametersWithDefaultValue.after.py

06needhamt/intellij-community

63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b

[ "Apache-2.0" ]

null

python/testData/multipleArgumentsCompletion/suggestArgumentsForParametersWithDefaultValue.after.py

06needhamt/intellij-community

63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b

[ "Apache-2.0" ]

null

python/testData/multipleArgumentsCompletion/suggestArgumentsForParametersWithDefaultValue.after.py

06needhamt/intellij-community

63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b

[ "Apache-2.0" ]

null

def foo(x, y, z=42): pass x = 42 y = 100500 z = 42 foo(x, y, z)<caret>

8.555556

20

0.506494

18

77

2.166667

0.5

0.205128

0.25641

0.307692

0

0.222222

0.298701

77

8

21

9.625

0.5

0

null

0.166667

0

null

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

8

8bbd0d991b08f6537044f2c2b814be2e123682db

162

py

Python

wgm/cli/wgmcontroller/__init__.py

Skylaski-VPN/WireGuard-Gateway-Manager

5cacbbc2318fdf662cd4793a786e3c7b9b74c5c4

[ "MIT" ]

1

2021-11-28T21:26:58.000Z

wgm/cli/wgmcontroller/__init__.py

Skylaski-VPN/WireGuard-Gateway-Manager

5cacbbc2318fdf662cd4793a786e3c7b9b74c5c4

[ "MIT" ]

2

2021-04-07T18:10:07.000Z

2021-04-07T21:41:35.000Z

wgm/cli/wgmcontroller/__init__.py

Skylaski-VPN/WireGuard-Gateway-Manager

5cacbbc2318fdf662cd4793a786e3c7b9b74c5c4

[ "MIT" ]

2

2021-04-07T16:13:55.000Z

2021-04-23T18:33:22.000Z

# wgmcontroller from .controller import attach_gw from .controller import detach_gw from .controller import attach_client from .controller import detach_client

20.25

37

0.845679

21

162

6.333333

0.380952

0.421053

0.601504

0.390977

0

0.123457

162

7

38

23.142857

0.93662

0.080247

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

8bc30705bbb1dc754426129ce62e6e6f6a6126c7

12,229

py

Python

lreid/operation/test_p_s.py

TPCD/LifelongReID

cb33f9c29fe398e7546db345fab1c338dda8252f

[ "MIT" ]

63

2021-03-20T15:33:11.000Z

2022-03-30T03:04:14.000Z

lreid/operation/test_p_s.py

TPCD/LifelongReID

cb33f9c29fe398e7546db345fab1c338dda8252f

[ "MIT" ]

5

2021-03-23T08:04:21.000Z

2022-03-10T02:28:43.000Z

lreid/operation/test_p_s.py

TPCD/LifelongReID

cb33f9c29fe398e7546db345fab1c338dda8252f

[ "MIT" ]

10

2021-04-30T11:14:10.000Z

2022-03-18T16:44:55.000Z

import torch from lreid.tools import time_now, CatMeter from lreid.evaluation import (fast_evaluate_rank, compute_distance_matrix) def fast_test_p_s(config, base, loaders, current_step, if_test_forget=True): # using Cython test during train # return mAP, Rank-1 base.set_all_model_eval() print(f'****** start perform fast testing! ******') # meters # compute query and gallery features def _cmc_map(_query_features_meter, _gallery_features_meter): query_features = _query_features_meter.get_val() gallery_features = _gallery_features_meter.get_val() distance_matrix = compute_distance_matrix(query_features, gallery_features, config.test_metric) distance_matrix = distance_matrix.data.cpu().numpy() CMC, mAP = fast_evaluate_rank(distance_matrix, query_pids_meter.get_val_numpy(), gallery_pids_meter.get_val_numpy(), query_cids_meter.get_val_numpy(), gallery_cids_meter.get_val_numpy(), max_rank=50, use_metric_cuhk03=False, use_cython=True) return CMC[0] * 100, mAP * 100 results_dict = {} for dataset_name, temp_loaders in loaders.test_loader_dict.items(): query_features_meter, query_pids_meter, query_cids_meter = CatMeter(), CatMeter(), CatMeter() gallery_features_meter, gallery_pids_meter, gallery_cids_meter = CatMeter(), CatMeter(), CatMeter() query_metagraph_features_meter, query_metagraph_pids_meter, query_metagraph_cids_meter = CatMeter(), CatMeter(), CatMeter() gallery_metagraph_features_meter, gallery_metagraph_pids_meter, gallery_metagraph_cids_meter = CatMeter(), CatMeter(), CatMeter() query_fuse_features_meter, query_fuse_pids_meter, query_fuse_cids_meter = CatMeter(), CatMeter(), CatMeter() gallery_fuse_features_meter, gallery_fuse_pids_meter, gallery_fuse_cids_meter = CatMeter(), CatMeter(), CatMeter() print(time_now(), f' {dataset_name} feature start ') with torch.no_grad(): for loader_id, loader in enumerate(temp_loaders): for data in loader: # compute feautres images, pids, cids = data[0:3] images = images.to(base.device) features, featuremaps = base.model_dict['tasknet'](images, current_step) if config.if_test_metagraph: features_metagraph, _ = base.model_dict['metagraph'](features) features_fuse = features + features_metagraph # save as query features if loader_id == 0: query_features_meter.update(features.data) if config.if_test_metagraph: query_fuse_features_meter.update(features_fuse.data) query_metagraph_features_meter.update(features_metagraph.data) query_pids_meter.update(pids) query_cids_meter.update(cids) # save as gallery features elif loader_id == 1: gallery_features_meter.update(features.data) if config.if_test_metagraph: gallery_metagraph_features_meter.update(features_metagraph.data) gallery_fuse_features_meter.update(features_fuse.data) gallery_pids_meter.update(pids) gallery_cids_meter.update(cids) # print(f'Save distance matrix to RegDB_three_stream_dist({current_step}).npy') # # # # np.save(os.path.join(config.feature_save_path, f'query_features_({dataset_name})_({current_step}).pth'), # query_features_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'query_pids_({dataset_name})_({current_step}).pth'), # query_pids_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'query_cids_({dataset_name})_({current_step}).pth'), # query_cids_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'gallery_features_({dataset_name})_({current_step}).pth'), # gallery_features_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'gallery_pids_({dataset_name})_({current_step}).pth'), # gallery_pids_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'gallery_cids_({dataset_name})_({current_step}).pth'), # gallery_cids_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'query_fuse_features_({dataset_name})_({current_step}).pth'), # query_fuse_features_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'gallery_fuse_features_({dataset_name})_({current_step}).pth'), # gallery_fuse_features_meter.get_val_numpy()) print(time_now(), f' {dataset_name} feature done') rank1, map = _cmc_map(query_features_meter, gallery_features_meter) results_dict[f'{dataset_name}_tasknet_mAP'], results_dict[f'{dataset_name}_tasknet_Rank1'] = map, rank1 if config.if_test_metagraph: # rank1, map = _cmc_map(query_metagraph_features_meter, gallery_metagraph_features_meter) # results_dict['metagraph_mAP'], results_dict['metagraph_Rank1'] = map, rank1 rank1, map = _cmc_map(query_fuse_features_meter, gallery_fuse_features_meter) results_dict[f'{dataset_name}_fuse_mAP'], results_dict[f'{dataset_name}_fuse_Rank1'] = map, rank1 results_str = '' for criterion, value in results_dict.items(): results_str = results_str + f'\n{criterion}: {value}' return results_dict, results_str def save_and_fast_test_p_s(config, base, loaders, current_step, current_epoch,if_test_forget=True): # using Cython test during train # return mAP, Rank-1 base.set_all_model_eval() print(f'****** start perform fast testing! ******') # meters # compute query and gallery features def _cmc_map(_query_features_meter, _gallery_features_meter): query_features = _query_features_meter.get_val() gallery_features = _gallery_features_meter.get_val() distance_matrix = compute_distance_matrix(query_features, gallery_features, config.test_metric) distance_matrix = distance_matrix.data.cpu().numpy() CMC, mAP = fast_evaluate_rank(distance_matrix, query_pids_meter.get_val_numpy(), gallery_pids_meter.get_val_numpy(), query_cids_meter.get_val_numpy(), gallery_cids_meter.get_val_numpy(), max_rank=50, use_metric_cuhk03=False, use_cython=True) return CMC[0] * 100, mAP * 100 results_dict = {} for dataset_name, temp_loaders in loaders.test_loader_dict.items(): query_features_meter, query_pids_meter, query_cids_meter = CatMeter(), CatMeter(), CatMeter() gallery_features_meter, gallery_pids_meter, gallery_cids_meter = CatMeter(), CatMeter(), CatMeter() query_metagraph_features_meter, query_metagraph_pids_meter, query_metagraph_cids_meter = CatMeter(), CatMeter(), CatMeter() gallery_metagraph_features_meter, gallery_metagraph_pids_meter, gallery_metagraph_cids_meter = CatMeter(), CatMeter(), CatMeter() query_fuse_features_meter, query_fuse_pids_meter, query_fuse_cids_meter = CatMeter(), CatMeter(), CatMeter() gallery_fuse_features_meter, gallery_fuse_pids_meter, gallery_fuse_cids_meter = CatMeter(), CatMeter(), CatMeter() print(time_now(), f' {dataset_name} feature start ') with torch.no_grad(): for loader_id, loader in enumerate(temp_loaders): for data in loader: # compute feautres images, pids, cids = data[0:3] images = images.to(base.device) features, featuremaps = base.model_dict['tasknet'](images, current_step) if config.if_test_metagraph: features_metagraph, _ = base.model_dict['metagraph'](features) features_fuse = features + features_metagraph # save as query features if loader_id == 0: query_features_meter.update(features.data) if config.if_test_metagraph: query_fuse_features_meter.update(features_fuse.data) query_metagraph_features_meter.update(features_metagraph.data) query_pids_meter.update(pids) query_cids_meter.update(cids) # save as gallery features elif loader_id == 1: gallery_features_meter.update(features.data) if config.if_test_metagraph: gallery_metagraph_features_meter.update(features_metagraph.data) gallery_fuse_features_meter.update(features_fuse.data) gallery_pids_meter.update(pids) gallery_cids_meter.update(cids) # print(f'Save ({dataset_name}) => feature ({current_step}).npy') # # np.save(os.path.join(config.feature_save_path, f'query_features_({dataset_name})_({current_step})_({current_epoch}).pth'), # query_features_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'query_pids_({dataset_name})_({current_step})_({current_epoch}).pth'), # query_pids_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'query_cids_({dataset_name})_({current_step})_({current_epoch}).pth'), # query_cids_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'gallery_features_({dataset_name})_({current_step})_({current_epoch}).pth'), # gallery_features_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'gallery_pids_({dataset_name})_({current_step})_({current_epoch}).pth'), # gallery_pids_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'gallery_cids_({dataset_name})_({current_step})_({current_epoch}).pth'), # gallery_cids_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'query_fuse_features_({dataset_name})_({current_step})_({current_epoch}).pth'), # query_fuse_features_meter.get_val_numpy()) # np.save(os.path.join(config.feature_save_path, f'gallery_fuse_features_({dataset_name})_({current_step})_({current_epoch}).pth'), # gallery_fuse_features_meter.get_val_numpy()) print(time_now(), f' {dataset_name} feature done') rank1, map = _cmc_map(query_features_meter, gallery_features_meter) results_dict[f'{dataset_name}_tasknet_mAP'], results_dict[f'{dataset_name}_tasknet_Rank1'] = map, rank1 if config.if_test_metagraph: # rank1, map = _cmc_map(query_metagraph_features_meter, gallery_metagraph_features_meter) # results_dict['metagraph_mAP'], results_dict['metagraph_Rank1'] = map, rank1 rank1, map = _cmc_map(query_fuse_features_meter, gallery_fuse_features_meter) results_dict[f'{dataset_name}_fuse_mAP'], results_dict[f'{dataset_name}_fuse_Rank1'] = map, rank1 results_str = '' for criterion, value in results_dict.items(): results_str = results_str + f'\n{criterion}: {value}' return results_dict, results_str

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Python

src/print_helper/__init__.py

bjoern-hempel/pytorch-classification

8a4bd6aef488360b88234b008d1d7308469bc5d8

[ "MIT" ]

null

src/print_helper/__init__.py

bjoern-hempel/pytorch-classification

8a4bd6aef488360b88234b008d1d7308469bc5d8

[ "MIT" ]

null

src/print_helper/__init__.py

bjoern-hempel/pytorch-classification

8a4bd6aef488360b88234b008d1d7308469bc5d8

[ "MIT" ]

null

# __init__.py from .print import *

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py

Python

avionix_airflow/kubernetes/cloud/__init__.py

zbrookle/avionix_airflow

a9b4665ce7699bcee7252a3f10d588a57c1f32c4

[ "BSD-3-Clause" ]

5

2020-08-31T07:33:47.000Z

2022-01-19T09:03:09.000Z

avionix_airflow/kubernetes/cloud/__init__.py

zbrookle/avionix_airflow

a9b4665ce7699bcee7252a3f10d588a57c1f32c4

[ "BSD-3-Clause" ]

20

2020-07-28T23:39:22.000Z

2020-10-06T20:21:32.000Z

avionix_airflow/kubernetes/cloud/__init__.py

zbrookle/avionix_airflow

a9b4665ce7699bcee7252a3f10d588a57c1f32c4

[ "BSD-3-Clause" ]

1

2021-09-27T14:48:41.000Z

# flake8: noqa from avionix_airflow.kubernetes.cloud.aws.aws_options import AwsOptions from avionix_airflow.kubernetes.cloud.cloud_options import CloudOptions

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py

Python

pysoup/utils/assets.py

illBeRoy/pysoup

742fd6630e1be27c275cb8dc6ee94412472cb20b

[ "MIT" ]

4

2016-02-21T12:40:44.000Z

2019-06-13T13:23:19.000Z

pysoup/utils/assets.py

illBeRoy/pysoup

742fd6630e1be27c275cb8dc6ee94412472cb20b

[ "MIT" ]

null

pysoup/utils/assets.py

illBeRoy/pysoup

742fd6630e1be27c275cb8dc6ee94412472cb20b

[ "MIT" ]

1

2020-07-16T12:22:12.000Z

LOGO = ''' X X X X X X +------------------+ +----------------+ +------------+ '''

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47bc426662bd0292464a6afdc5b54a5a71c3aa2d

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py

Python

utils_methods.py

venkatesh-saligrama/FedDyn

98c519e48ffcacbf318d33ad97c63cc99871ac57

[ "MIT" ]

15

2021-08-13T03:07:29.000Z

2022-03-29T06:31:18.000Z

utils_methods.py

venkatesh-saligrama/FedDyn

98c519e48ffcacbf318d33ad97c63cc99871ac57

[ "MIT" ]

1

2021-11-02T16:42:11.000Z

2022-01-06T19:46:02.000Z

utils_methods.py

venkatesh-saligrama/FedDyn

98c519e48ffcacbf318d33ad97c63cc99871ac57

[ "MIT" ]

7

2021-09-14T16:26:13.000Z

2022-03-22T13:07:47.000Z

from utils_libs import * from utils_dataset import * from utils_models import * from utils_general import * ### Methods def train_FedAvg(data_obj, act_prob ,learning_rate, batch_size, epoch, com_amount, print_per, weight_decay, model_func, init_model, save_period, lr_decay_per_round, rand_seed=0): method_name = 'FedAvg' n_clnt=data_obj.n_client clnt_x = data_obj.clnt_x; clnt_y=data_obj.clnt_y cent_x = np.concatenate(clnt_x, axis=0) cent_y = np.concatenate(clnt_y, axis=0) weight_list = np.asarray([len(clnt_y[i]) for i in range(n_clnt)]) weight_list = weight_list.reshape((n_clnt, 1)) if not os.path.exists('Output/%s/%s' %(data_obj.name, method_name)): os.mkdir('Output/%s/%s' %(data_obj.name, method_name)) n_save_instances = int(com_amount / save_period) fed_mdls_sel = list(range(n_save_instances)); fed_mdls_all = list(range(n_save_instances)) trn_perf_sel = np.zeros((com_amount, 2)); trn_perf_all = np.zeros((com_amount, 2)) tst_perf_sel = np.zeros((com_amount, 2)); tst_perf_all = np.zeros((com_amount, 2)) n_par = len(get_mdl_params([model_func()])[0]) init_par_list=get_mdl_params([init_model], n_par)[0] clnt_params_list=np.ones(n_clnt).astype('float32').reshape(-1, 1) * init_par_list.reshape(1, -1) # n_clnt X n_par clnt_models = list(range(n_clnt)) avg_model = model_func().to(device) avg_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) all_model = model_func().to(device) all_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) if os.path.exists('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, com_amount)): # Load performances and models... for j in range(n_save_instances): fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_sel.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_sel[j] = fed_model fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_all.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_all[j] = fed_model trn_perf_sel = np.load('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, com_amount)) trn_perf_all = np.load('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, com_amount)) tst_perf_sel = np.load('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, com_amount)) tst_perf_all = np.load('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, com_amount)) clnt_params_list = np.load('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, com_amount)) else: for i in range(com_amount): inc_seed = 0 while(True): # Fix randomness in client selection np.random.seed(i + rand_seed + inc_seed) act_list = np.random.uniform(size=n_clnt) act_clients = act_list <= act_prob selected_clnts = np.sort(np.where(act_clients)[0]) inc_seed += 1 if len(selected_clnts) != 0: break print('Selected Clients: %s' %(', '.join(['%2d' %item for item in selected_clnts]))) for clnt in selected_clnts: print('---- Training client %d' %clnt) trn_x = clnt_x[clnt] trn_y = clnt_y[clnt] clnt_models[clnt] = model_func().to(device) clnt_models[clnt].load_state_dict(copy.deepcopy(dict(avg_model.named_parameters()))) for params in clnt_models[clnt].parameters(): params.requires_grad = True clnt_models[clnt] = train_model(clnt_models[clnt], trn_x, trn_y, learning_rate * (lr_decay_per_round ** i), batch_size, epoch, print_per, weight_decay, data_obj.dataset) clnt_params_list[clnt] = get_mdl_params([clnt_models[clnt]], n_par)[0] # Scale with weights avg_model = set_client_from_params(model_func(), np.sum(clnt_params_list[selected_clnts]*weight_list[selected_clnts]/np.sum(weight_list[selected_clnts]), axis = 0)) all_model = set_client_from_params(model_func(), np.sum(clnt_params_list*weight_list/np.sum(weight_list), axis = 0)) ### loss_tst, acc_tst = get_acc_loss(data_obj.tst_x, data_obj.tst_y, avg_model, data_obj.dataset) tst_perf_sel[i] = [loss_tst, acc_tst] print("**** Communication sel %3d, Test Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(cent_x, cent_y, avg_model, data_obj.dataset) trn_perf_sel[i] = [loss_tst, acc_tst] print("**** Communication sel %3d, Cent Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(data_obj.tst_x, data_obj.tst_y, all_model, data_obj.dataset) tst_perf_all[i] = [loss_tst, acc_tst] print("**** Communication all %3d, Test Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(cent_x, cent_y, all_model, data_obj.dataset) trn_perf_all[i] = [loss_tst, acc_tst] print("**** Communication all %3d, Cent Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) if ((i+1) % save_period == 0): torch.save(avg_model.state_dict(), 'Output/%s/%s/%d_com_sel.pt' %(data_obj.name, method_name, (i+1))) torch.save(all_model.state_dict(), 'Output/%s/%s/%d_com_all.pt' %(data_obj.name, method_name, (i+1))) np.save('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, (i+1)), clnt_params_list) np.save('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, (i+1)), trn_perf_sel[:i+1]) np.save('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, (i+1)), tst_perf_sel[:i+1]) np.save('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, (i+1)), trn_perf_all[:i+1]) np.save('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, (i+1)), tst_perf_all[:i+1]) if (i+1) > save_period: if os.path.exists('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)): # Delete the previous saved arrays os.remove('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, i+1-save_period)) if ((i+1) % save_period == 0): fed_mdls_sel[i//save_period] = avg_model fed_mdls_all[i//save_period] = all_model return fed_mdls_sel, trn_perf_sel, tst_perf_sel, fed_mdls_all, trn_perf_all, tst_perf_all def train_SCAFFOLD(data_obj, act_prob, learning_rate, batch_size, n_minibatch, com_amount, print_per, weight_decay, model_func, init_model, save_period, lr_decay_per_round, rand_seed=0, global_learning_rate=1): method_name = 'Scaffold' n_clnt=data_obj.n_client clnt_x = data_obj.clnt_x; clnt_y=data_obj.clnt_y cent_x = np.concatenate(clnt_x, axis=0) cent_y = np.concatenate(clnt_y, axis=0) weight_list = np.asarray([len(clnt_y[i]) for i in range(n_clnt)]) weight_list = weight_list / np.sum(weight_list) * n_clnt # normalize it if not os.path.exists('Output/%s/%s' %(data_obj.name, method_name)): os.mkdir('Output/%s/%s' %(data_obj.name, method_name)) n_save_instances = int(com_amount / save_period) fed_mdls_sel = list(range(n_save_instances)); fed_mdls_all = list(range(n_save_instances)) trn_perf_sel = np.zeros((com_amount, 2)); trn_perf_all = np.zeros((com_amount, 2)) tst_perf_sel = np.zeros((com_amount, 2)); tst_perf_all = np.zeros((com_amount, 2)) n_par = len(get_mdl_params([model_func()])[0]) state_param_list = np.zeros((n_clnt+1, n_par)).astype('float32') #including cloud state init_par_list=get_mdl_params([init_model], n_par)[0] clnt_params_list=np.ones(n_clnt).astype('float32').reshape(-1, 1) * init_par_list.reshape(1, -1) # n_clnt X n_par clnt_models = list(range(n_clnt)) avg_model = model_func().to(device) avg_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) all_model = model_func().to(device) all_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) if os.path.exists('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, com_amount)): # Load performances and models... for j in range(n_save_instances): fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_sel.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_sel[j] = fed_model fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_all.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_all[j] = fed_model trn_perf_sel = np.load('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, com_amount)) trn_perf_all = np.load('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, com_amount)) tst_perf_sel = np.load('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, com_amount)) tst_perf_all = np.load('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, com_amount)) clnt_params_list = np.load('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, com_amount)) state_param_list = np.load('Output/%s/%s/%d_state_param_list.npy' %(data_obj.name, method_name, com_amount)) else: for i in range(com_amount): inc_seed = 0 while(True): # Fix randomness in client selection np.random.seed(i + rand_seed + inc_seed) act_list = np.random.uniform(size=n_clnt) act_clients = act_list <= act_prob selected_clnts = np.sort(np.where(act_clients)[0]) inc_seed += 1 if len(selected_clnts) != 0: break print('Selected Clients: %s' %(', '.join(['%2d' %item for item in selected_clnts]))) delta_c_sum = np.zeros(n_par) prev_params = get_mdl_params([avg_model], n_par)[0] for clnt in selected_clnts: print('---- Training client %d' %clnt) trn_x = clnt_x[clnt] trn_y = clnt_y[clnt] clnt_models[clnt] = model_func().to(device) clnt_models[clnt].load_state_dict(copy.deepcopy(dict(avg_model.named_parameters()))) for params in clnt_models[clnt].parameters(): params.requires_grad = True # Scale down c state_params_diff_curr = torch.tensor(-state_param_list[clnt] + state_param_list[-1]/weight_list[clnt], dtype=torch.float32, device=device) clnt_models[clnt] = train_scaffold_mdl(clnt_models[clnt], model_func, state_params_diff_curr, trn_x, trn_y, learning_rate * (lr_decay_per_round ** i), batch_size, n_minibatch, print_per, weight_decay, data_obj.dataset) curr_model_param = get_mdl_params([clnt_models[clnt]], n_par)[0] new_c = state_param_list[clnt] - state_param_list[-1] + 1/n_minibatch/learning_rate * (prev_params - curr_model_param) # Scale up delta c delta_c_sum += (new_c - state_param_list[clnt])*weight_list[clnt] state_param_list[clnt] = new_c clnt_params_list[clnt] = curr_model_param avg_model_params = global_learning_rate*np.mean(clnt_params_list[selected_clnts], axis = 0) + (1-global_learning_rate)*prev_params state_param_list[-1] += 1 / n_clnt * delta_c_sum avg_model = set_client_from_params(model_func().to(device), avg_model_params) all_model = set_client_from_params(model_func(), np.mean(clnt_params_list, axis = 0)) ### loss_tst, acc_tst = get_acc_loss(data_obj.tst_x, data_obj.tst_y, avg_model, data_obj.dataset) tst_perf_sel[i] = [loss_tst, acc_tst] print("**** Communication sel %3d, Test Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(cent_x, cent_y, avg_model, data_obj.dataset) trn_perf_sel[i] = [loss_tst, acc_tst] print("**** Communication sel %3d, Cent Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(data_obj.tst_x, data_obj.tst_y, all_model, data_obj.dataset) tst_perf_all[i] = [loss_tst, acc_tst] print("**** Communication all %3d, Test Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(cent_x, cent_y, all_model, data_obj.dataset) trn_perf_all[i] = [loss_tst, acc_tst] print("**** Communication all %3d, Cent Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) if ((i+1) % save_period == 0): torch.save(avg_model.state_dict(), 'Output/%s/%s/%d_com_sel.pt' %(data_obj.name, method_name, (i+1))) torch.save(all_model.state_dict(), 'Output/%s/%s/%d_com_all.pt' %(data_obj.name, method_name, (i+1))) np.save('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, (i+1)), clnt_params_list) np.save('Output/%s/%s/%d_state_param_list.npy' %(data_obj.name, method_name, (i+1)), state_param_list) np.save('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, (i+1)), trn_perf_sel[:i+1]) np.save('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, (i+1)), tst_perf_sel[:i+1]) np.save('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, (i+1)), trn_perf_all[:i+1]) np.save('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, (i+1)), tst_perf_all[:i+1]) if (i+1) > save_period: if os.path.exists('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)): os.remove('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_state_param_list.npy' %(data_obj.name, method_name, i+1-save_period)) if ((i+1) % save_period == 0): fed_mdls_sel[i//save_period] = avg_model fed_mdls_all[i//save_period] = all_model return fed_mdls_sel, trn_perf_sel, tst_perf_sel, fed_mdls_all, trn_perf_all, tst_perf_all def train_FedDyn(data_obj, act_prob, learning_rate, batch_size, epoch, com_amount, print_per, weight_decay, model_func, init_model, alpha_coef, save_period, lr_decay_per_round, rand_seed=0): method_name = 'FedDyn' n_clnt = data_obj.n_client clnt_x = data_obj.clnt_x; clnt_y=data_obj.clnt_y cent_x = np.concatenate(clnt_x, axis=0) cent_y = np.concatenate(clnt_y, axis=0) weight_list = np.asarray([len(clnt_y[i]) for i in range(n_clnt)]) weight_list = weight_list / np.sum(weight_list) * n_clnt if not os.path.exists('Output/%s/%s' %(data_obj.name, method_name)): os.mkdir('Output/%s/%s' %(data_obj.name, method_name)) n_save_instances = int(com_amount / save_period) fed_mdls_sel = list(range(n_save_instances)) # Avg active clients fed_mdls_all = list(range(n_save_instances)) # Avg all clients fed_mdls_cld = list(range(n_save_instances)) # Cloud models trn_perf_sel = np.zeros((com_amount, 2)); trn_perf_all = np.zeros((com_amount, 2)) tst_perf_sel = np.zeros((com_amount, 2)); tst_perf_all = np.zeros((com_amount, 2)) n_par = len(get_mdl_params([model_func()])[0]) local_param_list = np.zeros((n_clnt, n_par)).astype('float32') init_par_list=get_mdl_params([init_model], n_par)[0] clnt_params_list = np.ones(n_clnt).astype('float32').reshape(-1, 1) * init_par_list.reshape(1, -1) # n_clnt X n_par clnt_models = list(range(n_clnt)) avg_model = model_func().to(device) avg_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) all_model = model_func().to(device) all_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) cld_model = model_func().to(device) cld_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) cld_mdl_param = get_mdl_params([cld_model], n_par)[0] if os.path.exists('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, com_amount)): # Load performances and models... for j in range(n_save_instances): fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_sel.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_sel[j] = fed_model fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_all.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_all[j] = fed_model fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_cld.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_cld[j] = fed_model trn_perf_sel = np.load('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, com_amount)) trn_perf_all = np.load('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, com_amount)) tst_perf_sel = np.load('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, com_amount)) tst_perf_all = np.load('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, com_amount)) clnt_params_list = np.load('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, com_amount)) local_param_list = np.load('Output/%s/%s/%d_local_param_list.npy' %(data_obj.name, method_name, com_amount)) else: for i in range(com_amount): inc_seed = 0 while(True): # Fix randomness in client selection np.random.seed(i + rand_seed + inc_seed) act_list = np.random.uniform(size=n_clnt) act_clients = act_list <= act_prob selected_clnts = np.sort(np.where(act_clients)[0]) unselected_clnts = np.sort(np.where(act_clients == False)[0]) inc_seed += 1 if len(selected_clnts) != 0: break print('Selected Clients: %s' %(', '.join(['%2d' %item for item in selected_clnts]))) cld_mdl_param_tensor = torch.tensor(cld_mdl_param, dtype=torch.float32, device=device) for clnt in selected_clnts: # Train locally print('---- Training client %d' %clnt) trn_x = clnt_x[clnt] trn_y = clnt_y[clnt] clnt_models[clnt] = model_func().to(device) model = clnt_models[clnt] # Warm start from current avg model model.load_state_dict(copy.deepcopy(dict(cld_model.named_parameters()))) for params in model.parameters(): params.requires_grad = True # Scale down alpha_coef_adpt = alpha_coef / weight_list[clnt] # adaptive alpha coef local_param_list_curr = torch.tensor(local_param_list[clnt], dtype=torch.float32, device=device) clnt_models[clnt] = train_feddyn_mdl(model, model_func, alpha_coef_adpt, cld_mdl_param_tensor, local_param_list_curr, trn_x, trn_y, learning_rate * (lr_decay_per_round ** i), batch_size, epoch, print_per, weight_decay, data_obj.dataset) curr_model_par = get_mdl_params([clnt_models[clnt]], n_par)[0] # No need to scale up hist terms. They are -\nabla/alpha and alpha is already scaled. local_param_list[clnt] += curr_model_par-cld_mdl_param clnt_params_list[clnt] = curr_model_par avg_mdl_param = np.mean(clnt_params_list[selected_clnts], axis = 0) cld_mdl_param = avg_mdl_param + np.mean(local_param_list, axis=0) avg_model = set_client_from_params(model_func(), avg_mdl_param) all_model = set_client_from_params(model_func(), np.mean(clnt_params_list, axis = 0)) cld_model = set_client_from_params(model_func().to(device), cld_mdl_param) ### loss_tst, acc_tst = get_acc_loss(data_obj.tst_x, data_obj.tst_y, avg_model, data_obj.dataset) tst_perf_sel[i] = [loss_tst, acc_tst] print("**** Communication sel %3d, Test Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(cent_x, cent_y, avg_model, data_obj.dataset) trn_perf_sel[i] = [loss_tst, acc_tst] print("**** Communication sel %3d, Cent Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(data_obj.tst_x, data_obj.tst_y, all_model, data_obj.dataset) tst_perf_all[i] = [loss_tst, acc_tst] print("**** Communication all %3d, Test Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(cent_x, cent_y, all_model, data_obj.dataset) trn_perf_all[i] = [loss_tst, acc_tst] print("**** Communication all %3d, Cent Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) if ((i+1) % save_period == 0): torch.save(avg_model.state_dict(), 'Output/%s/%s/%d_com_sel.pt' %(data_obj.name, method_name, (i+1))) torch.save(all_model.state_dict(), 'Output/%s/%s/%d_com_all.pt' %(data_obj.name, method_name, (i+1))) torch.save(cld_model.state_dict(), 'Output/%s/%s/%d_com_cld.pt' %(data_obj.name, method_name, (i+1))) np.save('Output/%s/%s/%d_local_param_list.npy' %(data_obj.name, method_name, (i+1)), local_param_list) np.save('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, (i+1)), clnt_params_list) np.save('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, (i+1)), trn_perf_sel[:i+1]) np.save('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, (i+1)), tst_perf_sel[:i+1]) np.save('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, (i+1)), trn_perf_all[:i+1]) np.save('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, (i+1)), tst_perf_all[:i+1]) if (i+1) > save_period: # Delete the previous saved arrays os.remove('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_local_param_list.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, i+1-save_period)) if ((i+1) % save_period == 0): fed_mdls_sel[i//save_period] = avg_model fed_mdls_all[i//save_period] = all_model fed_mdls_cld[i//save_period] = cld_model return fed_mdls_sel, trn_perf_sel, tst_perf_sel, fed_mdls_all, trn_perf_all, tst_perf_all, fed_mdls_cld def train_FedProx(data_obj, act_prob ,learning_rate, batch_size, epoch, com_amount, print_per, weight_decay, model_func, init_model, save_period, mu, lr_decay_per_round, rand_seed=0): method_name = 'FedProx' n_clnt=data_obj.n_client clnt_x = data_obj.clnt_x; clnt_y=data_obj.clnt_y cent_x = np.concatenate(clnt_x, axis=0) cent_y = np.concatenate(clnt_y, axis=0) # Average them based on number of datapoints (The one implemented) weight_list = np.asarray([len(clnt_y[i]) for i in range(n_clnt)]) weight_list = weight_list.reshape((n_clnt, 1)) if not os.path.exists('Output/%s/%s' %(data_obj.name, method_name)): os.mkdir('Output/%s/%s' %(data_obj.name, method_name)) n_save_instances = int(com_amount / save_period) fed_mdls_sel = list(range(n_save_instances)); fed_mdls_all = list(range(n_save_instances)) trn_perf_sel = np.zeros((com_amount, 2)); trn_perf_all = np.zeros((com_amount, 2)) tst_perf_sel = np.zeros((com_amount, 2)); tst_perf_all = np.zeros((com_amount, 2)) n_par = len(get_mdl_params([model_func()])[0]) init_par_list=get_mdl_params([init_model], n_par)[0] clnt_params_list=np.ones(n_clnt).astype('float32').reshape(-1, 1) * init_par_list.reshape(1, -1) # n_clnt X n_par clnt_models = list(range(n_clnt)) avg_model = model_func().to(device) avg_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) all_model = model_func().to(device) all_model.load_state_dict(copy.deepcopy(dict(init_model.named_parameters()))) if os.path.exists('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, com_amount)): # Load performances and models... for j in range(n_save_instances): fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_sel.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_sel[j] = fed_model fed_model = model_func() fed_model.load_state_dict(torch.load('Output/%s/%s/%d_com_all.pt' %(data_obj.name, method_name, (j+1)*save_period))) fed_model.eval() fed_model = fed_model.to(device) fed_mdls_all[j] = fed_model trn_perf_sel = np.load('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, com_amount)) trn_perf_all = np.load('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, com_amount)) tst_perf_sel = np.load('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, com_amount)) tst_perf_all = np.load('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, com_amount)) clnt_params_list = np.load('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, com_amount)) else: for i in range(com_amount): inc_seed = 0 while(True): # Fix randomness in client selection np.random.seed(i + rand_seed + inc_seed) act_list = np.random.uniform(size=n_clnt) act_clients = act_list <= act_prob selected_clnts = np.sort(np.where(act_clients)[0]) inc_seed += 1 if len(selected_clnts) != 0: break print('Selected Clients: %s' %(', '.join(['%2d' %item for item in selected_clnts]))) avg_model_param = get_mdl_params([avg_model], n_par)[0] avg_model_param_tensor = torch.tensor(avg_model_param, dtype=torch.float32, device=device) for clnt in selected_clnts: print('---- Training client %d' %clnt) trn_x = clnt_x[clnt] trn_y = clnt_y[clnt] clnt_models[clnt] = model_func().to(device) clnt_models[clnt].load_state_dict(copy.deepcopy(dict(avg_model.named_parameters()))) for params in clnt_models[clnt].parameters(): params.requires_grad = True clnt_models[clnt] = train_fedprox_mdl(clnt_models[clnt], avg_model_param_tensor, mu, trn_x, trn_y, learning_rate * (lr_decay_per_round ** i), batch_size, epoch, print_per, weight_decay, data_obj.dataset) clnt_params_list[clnt] = get_mdl_params([clnt_models[clnt]], n_par)[0] # Scale with weights avg_model = set_client_from_params(model_func(), np.sum(clnt_params_list[selected_clnts]*weight_list[selected_clnts]/np.sum(weight_list[selected_clnts]), axis = 0)) all_model = set_client_from_params(model_func(), np.sum(clnt_params_list*weight_list/np.sum(weight_list), axis = 0)) ### loss_tst, acc_tst = get_acc_loss(data_obj.tst_x, data_obj.tst_y, avg_model, data_obj.dataset) tst_perf_sel[i] = [loss_tst, acc_tst] print("**** Communication sel %3d, Test Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(cent_x, cent_y, avg_model, data_obj.dataset) trn_perf_sel[i] = [loss_tst, acc_tst] print("**** Communication sel %3d, Cent Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(data_obj.tst_x, data_obj.tst_y, all_model, data_obj.dataset) tst_perf_all[i] = [loss_tst, acc_tst] print("**** Communication all %3d, Test Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) ### loss_tst, acc_tst = get_acc_loss(cent_x, cent_y, all_model, data_obj.dataset) trn_perf_all[i] = [loss_tst, acc_tst] print("**** Communication all %3d, Cent Accuracy: %.4f, Loss: %.4f" %(i+1, acc_tst, loss_tst)) if ((i+1) % save_period == 0): torch.save(avg_model.state_dict(), 'Output/%s/%s/%d_com_sel.pt' %(data_obj.name, method_name, (i+1))) torch.save(all_model.state_dict(), 'Output/%s/%s/%d_com_all.pt' %(data_obj.name, method_name, (i+1))) np.save('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, (i+1)), clnt_params_list) np.save('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, (i+1)), trn_perf_sel[:i+1]) np.save('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, (i+1)), tst_perf_sel[:i+1]) np.save('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, (i+1)), trn_perf_all[:i+1]) np.save('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, (i+1)), tst_perf_all[:i+1]) if (i+1) > save_period: if os.path.exists('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)): # Delete the previous saved arrays os.remove('Output/%s/%s/%d_com_trn_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_tst_perf_sel.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_trn_perf_all.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_com_tst_perf_all.npy' %(data_obj.name, method_name, i+1-save_period)) os.remove('Output/%s/%s/%d_clnt_params_list.npy' %(data_obj.name, method_name, i+1-save_period)) if ((i+1) % save_period == 0): fed_mdls_sel[i//save_period] = avg_model fed_mdls_all[i//save_period] = all_model return fed_mdls_sel, trn_perf_sel, tst_perf_sel, fed_mdls_all, trn_perf_all, tst_perf_all

58.072041

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3.674476

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0.087243

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0.916386

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0.896014

0.880203

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33,856

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58.072041

0.732984

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null

0

7

d07395b80f1aa28853744e79c31a389fc20a19c8

63

py

Python

ChromProcess/Loading/peak_collection/__init__.py

thijsdejong10/ChromProcess

aba9c261824d0f29e0a92d7ca7c4a78e03249d62

[ "BSD-3-Clause" ]

null

ChromProcess/Loading/peak_collection/__init__.py

thijsdejong10/ChromProcess

aba9c261824d0f29e0a92d7ca7c4a78e03249d62

[ "BSD-3-Clause" ]

1

2022-01-21T16:14:05.000Z

ChromProcess/Loading/peak_collection/__init__.py

thijsdejong10/ChromProcess

aba9c261824d0f29e0a92d7ca7c4a78e03249d62

[ "BSD-3-Clause" ]

1

2022-01-18T16:17:05.000Z

from .peak_collection_from_csv import peak_collection_from_csv

31.5

62

0.920635

10

63

5.2

0.5

0.538462

0.692308

0.807692

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8

d0f74d5ad6ac2676f5933a500f28daafd0d68813

3,076

py

Python

Curve fitting/Least squares regression/RegMinimos.py

luismnd/my-implementations---numeric-methods

adfa016495277f4ea0cbcbc75d63f2eacea0fe5c

[ "MIT" ]

null

Curve fitting/Least squares regression/RegMinimos.py

luismnd/my-implementations---numeric-methods

adfa016495277f4ea0cbcbc75d63f2eacea0fe5c

[ "MIT" ]

null

Curve fitting/Least squares regression/RegMinimos.py

luismnd/my-implementations---numeric-methods

adfa016495277f4ea0cbcbc75d63f2eacea0fe5c

[ "MIT" ]

null

# -*- coding: utf-8 -*- import numpy as np import pylab as plt def polinomial(orden): datos=np.loadtxt('Retina.txt') x=datos[:,0.] y=datos[:,1.] yl=np.log(y) m=orden+1 n=len(x) z=np.zeros((n,m)) y2=np.zeros((n)) for i in range(0,n,1): for j in range(0,m,1): z[i,j]=x[i]**j zt=z.transpose() mult=np.dot(zt,z) a=np.linalg.solve(mult,np.dot(zt,y)) print 'a',orden,'=',a sum2=0 for i in range(0,n,1): sum=0 for j in range(0,m,1): sum=sum+a[j]*x[i]**j y2[i]=sum sum2=sum2+(y[i]-sum)**2 print 'R^2=',np.sqrt(sum2/(n-(m+1))) '''Manejo de Graficas''' #Se crea una figura para grabarla en un archivo # fig=plt.figure(orden) #Grafica la funcion 1 aplicada a x,y vs. Y en linea continua plt.plot(x,y,'-.') #Grafica la segunda fila de la matriz B vs. la segunda columna de la matriz A, en puntos plt.plot(x,y2,'-') #Incluye leyenda plt.legend(['Datos','Aproximacion']) #Incluye Titulo plt.title('Intensidad Reflejada de Luz vs Posicion Laser') #Incluye Nombre en los ejes plt.xlabel('Posicion laser') #Incluye Nombre en los ejes plt.ylabel('Intensidad Refleja de Luz') if orden ==1: plt.savefig('Figura1.png') if orden==2: plt.savefig('Figura2.png') if orden==2: plt.savefig('Figura3.png') plt.show() def exponencial(orden): datos=np.loadtxt('Retina.txt') x=datos[:,0.] y=datos[:,1.] yl=np.log(y) m=orden+1 n=len(x) z=np.zeros((n,m)) y2=np.zeros((n)) for i in range(0,n,1): for j in range(0,m,1): z[i,j]=x[i]**j zt=z.transpose() mult=np.dot(zt,z) a=np.linalg.solve(mult,np.dot(zt,y)) print 'a',orden,'=',a sum2=0 for i in range(0,n,1): sum=0 for j in range(0,m,1): sum=sum+a[j]*x[i]**j y2[i]=sum sum2=sum2+(y[i]-sum)**2 print 'R^2=',np.sqrt(sum2/(n-(m+1))) '''Manejo de Graficas''' #Se crea una figura para grabarla en un archivo # fig=plt.figure(orden) #Grafica la funcion 1 aplicada a x,y vs. Y en linea continua plt.plot(x,y,'-.') #Grafica la segunda fila de la matriz B vs. la segunda columna de la matriz A, en puntos plt.plot(x,y2,'-') #Incluye leyenda plt.legend(['Datos','Aproximacion']) #Incluye Titulo plt.title('Intensidad Reflejada de Luz vs Posicion Laser') #Incluye Nombre en los ejes plt.xlabel('Posicion laser') #Incluye Nombre en los ejes plt.ylabel('Intensidad Refleja de Luz') if orden ==1: plt.savefig('Figura1.png') if orden==2: plt.savefig('Figura2.png') if orden==2: plt.savefig('Figura3.png') plt.show() polinomial(1) polinomial(2) polinomial(3) exponencial(1) exponencial(2) exponencial(3)

26.290598

93

0.537386

487

3,076

3.394251

0.205339

0.033878

0.038717

0.026618

0.91712

0

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0.305592

3,076

116

94

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null

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null

0

1

0

1

0

null

0

1

0

8

ef8b05e68e020510f4d76b6be5780bed1a635cf4

725

py

Python

medialib/__init__.py

ppcrong/pymisc2

06013a7842d7633e8ddf8241718e5ffdb51d9d0c

[ "Apache-2.0" ]

null

medialib/__init__.py

ppcrong/pymisc2

06013a7842d7633e8ddf8241718e5ffdb51d9d0c

[ "Apache-2.0" ]

null

medialib/__init__.py

ppcrong/pymisc2

06013a7842d7633e8ddf8241718e5ffdb51d9d0c

[ "Apache-2.0" ]

null

DICT_RESOLUTIONS = { '1920x1080': {'w': 1920, 'h': 1080, 'default': False}, '1280x720': {'w': 1280, 'h': 720, 'default': False}, '1024x768': {'w': 1024, 'h': 768, 'default': False}, '800x600': {'w': 800, 'h': 600, 'default': False}, '640x480': {'w': 640, 'h': 480, 'default': False}, '352x240': {'w': 352, 'h': 288, 'default': False}, '320x240': {'w': 320, 'h': 240, 'default': False} } DICT_RESOLUTIONS_MIN = { '1920x1080': {'w': 1920, 'h': 1080, 'default': False}, '1280x720': {'w': 1280, 'h': 720, 'default': False}, '1024x768': {'w': 1024, 'h': 768, 'default': False}, '800x600': {'w': 800, 'h': 600, 'default': False}, '640x480': {'w': 640, 'h': 480, 'default': True}, }

40.277778

58

0.517241

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0.354839

0.075269

0.080645

0.741935

0

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0.194483

725

17

59

42.647059

0.363014

0

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0

null

1

0

1

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1

0

1

0

null

0

8

eff288b9459ed65f3e7747655ba5795f933f9922

118

py

Python

InSituToolkit/analysis/__init__.py

czbiohub/InSituToolkit

4c97a29f87e755e61451f4a9875d0bdf397864b5

[ "MIT" ]

4

2019-10-16T15:37:07.000Z

2020-11-01T00:04:07.000Z

InSituToolkit/analysis/__init__.py

czbiohub/InSituToolkit

4c97a29f87e755e61451f4a9875d0bdf397864b5

[ "MIT" ]

4

2019-07-19T01:45:57.000Z

2020-03-04T00:57:33.000Z

InSituToolkit/analysis/__init__.py

czbiohub/InSituToolkit

4c97a29f87e755e61451f4a9875d0bdf397864b5

[ "MIT" ]

1

2019-11-20T21:02:04.000Z

from .save_stack import save_stack from .results_viewer import view_results from .stack_from_tif import stack_from_tif

39.333333

42

0.881356

20

118

4.8

0.4

0.28125

0.25

0

0.09322

118

3

42

39.333333

0.897196

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

4bda4f283e8b7d2cf22e65d1dc4a7304d148c173

11,059

py

Python

openapi_client/api/votes_api.py

osuka/dognews-scraper

12373064061157083a48ced8e2cabf9d1ace30a5

[ "MIT" ]

1

2019-11-15T13:19:36.000Z

openapi_client/api/votes_api.py

osuka/news-extractor

12373064061157083a48ced8e2cabf9d1ace30a5

[ "MIT" ]

null

openapi_client/api/votes_api.py

osuka/news-extractor

12373064061157083a48ced8e2cabf9d1ace30a5

[ "MIT" ]

null

""" Dognews Server API Dognews Server client API # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from openapi_client.api_client import ApiClient, Endpoint as _Endpoint from openapi_client.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from openapi_client.model.vote import Vote class VotesApi(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 __votes_destroy( self, id, **kwargs ): """votes_destroy # noqa: E501 Vote management, through /votes (put, patch, destroy) or through **Permission restrictions:** + `IsAuthenticated`: *Rejects all operations if the user is not authenticated* + `IsOwnerOrModeratorOrStaff`: *Blocks update/partial_updated/destroy if: * the user is NOT in the staff group * AND if the model has a property called 'owner' and its value differs from the request user * AND if the user is not in the Moderators group Everything else is allowed* + `DjangoModelPermissions`: *The request is authenticated using `django.contrib.auth` permissions. See: https://docs.djangoproject.com/en/dev/topics/auth/#permissions It ensures that the user is authenticated, and has the appropriate `add`/`change`/`delete` permissions on the model. This permission can only be applied against view classes that provide a `.queryset` attribute.* # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.votes_destroy(id, async_req=True) >>> result = thread.get() Args: id (int): A unique integer value identifying this vote. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): 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. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['id'] = \ id return self.call_with_http_info(**kwargs) self.votes_destroy = _Endpoint( settings={ 'response_type': None, 'auth': [ 'basicAuth', 'cookieAuth', 'jwtAuth', 'tokenAuth' ], 'endpoint_path': '/votes/{id}', 'operation_id': 'votes_destroy', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'id', ], 'required': [ 'id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'id': (int,), }, 'attribute_map': { 'id': 'id', }, 'location_map': { 'id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [], }, api_client=api_client, callable=__votes_destroy ) def __votes_retrieve( self, id, **kwargs ): """votes_retrieve # noqa: E501 Vote management, through /votes (put, patch, destroy) or through **Permission restrictions:** + `IsAuthenticated`: *Rejects all operations if the user is not authenticated* + `IsOwnerOrModeratorOrStaff`: *Blocks update/partial_updated/destroy if: * the user is NOT in the staff group * AND if the model has a property called 'owner' and its value differs from the request user * AND if the user is not in the Moderators group Everything else is allowed* + `DjangoModelPermissions`: *The request is authenticated using `django.contrib.auth` permissions. See: https://docs.djangoproject.com/en/dev/topics/auth/#permissions It ensures that the user is authenticated, and has the appropriate `add`/`change`/`delete` permissions on the model. This permission can only be applied against view classes that provide a `.queryset` attribute.* # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.votes_retrieve(id, async_req=True) >>> result = thread.get() Args: id (int): A unique integer value identifying this vote. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): 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. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: Vote If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['id'] = \ id return self.call_with_http_info(**kwargs) self.votes_retrieve = _Endpoint( settings={ 'response_type': (Vote,), 'auth': [ 'basicAuth', 'cookieAuth', 'jwtAuth', 'tokenAuth' ], 'endpoint_path': '/votes/{id}', 'operation_id': 'votes_retrieve', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'id', ], 'required': [ 'id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'id': (int,), }, 'attribute_map': { 'id': 'id', }, 'location_map': { 'id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__votes_retrieve )

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null

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7

0872f38289409c87e2fdf8f22c60e4d85add907d

111

py

Python

info.py

Jiminger/CSMuseum

13de6d7ae289da045de9a75cec83ccc229715baa

[ "MIT" ]

null

info.py

Jiminger/CSMuseum

13de6d7ae289da045de9a75cec83ccc229715baa

[ "MIT" ]

3

2022-03-25T05:40:00.000Z

2022-03-25T15:26:43.000Z

info.py

Jiminger/CSMuseum

13de6d7ae289da045de9a75cec83ccc229715baa

[ "MIT" ]

null

""" Used to get database credentials """ def get_db_user(): return "" def get_db_pass(): return ""

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8

087568da79ed48fa1ab11987f0fa39f774146c8d

11,294

py

Python

example/test2/room.py

dmilos/IceRay

4e01f141363c0d126d3c700c1f5f892967e3d520

[ "MIT-0" ]

2

2020-09-04T12:27:15.000Z

2022-01-17T14:49:40.000Z

example/test2/room.py

dmilos/IceRay

4e01f141363c0d126d3c700c1f5f892967e3d520

[ "MIT-0" ]

null

example/test2/room.py

dmilos/IceRay

4e01f141363c0d126d3c700c1f5f892967e3d520

[ "MIT-0" ]

1

2020-09-04T12:27:52.000Z

import math import IceRayPy Coord3D = IceRayPy.type.math.coord.Scalar3D def vacuum( P_dll, P_config = None, P_light = None, P_exponat = None ): geometry = IceRayPy.core.geometry.volumetric.Vacuum( P_dll ) wrapper = IceRayPy.core.object.Wrapper( P_dll ) wrapper.geometrySet( geometry ) return wrapper def plate( P_dll, P_config = { 'level': - 1.01, 'size' : 3, 'shadow': False, 'pigment': None }, P_light = None, P_exponat = None ): level = -1.00001; if( 'level' in P_config ): level = P_config['level'] size = 3; if( 'size' in P_config ): size = P_config['size'] geometry = IceRayPy.core.geometry.simple.Box( P_dll ) geometry.box( Coord3D( -size, -size, level - 0.1) , Coord3D( size, size, level ) ) wrapper = IceRayPy.core.object.Wrapper( P_dll ) I_scene = { 'light': P_light, 'barrier' : P_exponat } if( 'shadow' in P_config ): if( False == P_config['shadow'] ): I_scene['barrier'] = IceRayPy.core.geometry.volumetric.Vacuum( P_dll ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ) ) if( 'pigment' in P_config ): pigment = P_config['pigment'] #utility.material.pattern.Checker( P_dll, I_scene ) #pigment = IceRayPy.utility.material.pattern.Checker( P_dll, I_scene ) wrapper.pigment( pigment ) wrapper.geometrySet( geometry ) return wrapper def plane( P_dll, P_config = { 'level': - 1.001, 'shadow': False, 'pigment': None }, P_light = None, P_exponat = None ): level = -1.0001; if( 'level' in P_config ): level = P_config['level'] geometry = IceRayPy.core.geometry.simple.Plane( P_dll ) geometry.origin( Coord3D(0, 0, level ) ) I_scene = { 'light': P_light, 'barrier' : P_exponat } if( 'shadow' in P_config ): if( False == P_config['shadow'] ): I_scene['barrier'] = IceRayPy.core.geometry.volumetric.Vacuum( P_dll ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ) ) if( 'pigment' in P_config ): pigment = P_config['pigment'] #utility.material.pattern.Checker( P_dll, I_scene ) pigment = IceRayPy.utility.material.pattern.Checker( P_dll, I_scene ) wrapper = IceRayPy.core.object.Wrapper( P_dll ) wrapper.pigment( pigment ) wrapper.geometrySet( geometry ) return wrapper def cornell( P_dll ,P_config = None ,P_light = None ,P_exponat = None ): # non-classic global G_dimesion I_dimension = [ 8, 8, 4 ] # [ 6, 6, 3.5 ] I_move = [ 0, 0, I_dimension[2]/2-1 ] wall = 0.1 lo = Coord3D() lo[0] = -I_dimension[0]/2 + I_move[0] lo[1] = -I_dimension[1]/2 + I_move[1] lo[2] = -I_dimension[2]/2 + I_move[2] hi = Coord3D() hi[0] = +I_dimension[0]/2 + I_move[0] hi[1] = +I_dimension[1]/2 + I_move[1] hi[2] = +I_dimension[2]/2 + I_move[2] I_scene = { 'light': P_light, 'barrier' : P_exponat } if( 'shadow' in P_config ): if( False == P_config['shadow'] ): I_scene['barrier'] = IceRayPy.core.geometry.volumetric.Vacuum( P_dll ) leftG = IceRayPy.core.geometry.simple.Box( P_dll ) leftG.box( Coord3D( lo[0]-wall, lo[1], lo[2]) , Coord3D(lo[0], hi[1], hi[2]) ) leftW = IceRayPy.core.object.Wrapper( P_dll ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 1, 0.33, 0.33 ) ) leftW.pigment( pigment ) leftW.geometrySet( leftG ) rightG = IceRayPy.core.geometry.simple.Box( P_dll ) rightG.box( Coord3D( hi[0], lo[1], lo[2]) , Coord3D(hi[0]+ wall,hi[1], hi[2]) ) rightW = IceRayPy.core.object.Wrapper( P_dll ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.33, 1, 0.33 ) ) rightW.pigment( pigment ) rightW.geometrySet( rightG ) backgroundG = IceRayPy.core.geometry.simple.Box( P_dll ) backgroundG.box( Coord3D( lo[0], lo[1]-wall, lo[2] ) , Coord3D( hi[0], lo[1], hi[2] ) ) backgroundW = IceRayPy.core.object.Wrapper( P_dll ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.33, 0.33, 1 ) ) backgroundW.pigment( pigment ) backgroundW.geometrySet( backgroundG ) foregroundG = IceRayPy.core.geometry.simple.Box( P_dll ) foregroundG.box( Coord3D( lo[0], hi[1], lo[2] ), Coord3D( hi[0], hi[1] + wall, hi[2] ) ) foregroundW = IceRayPy.core.object.Wrapper( P_dll ) pigment = IceRayPy.utility.material.transmission.reflect.One( P_dll, I_scene ) foregroundW.pigment( pigment ) foregroundW.geometrySet( foregroundG ) floorG = IceRayPy.core.geometry.simple.Box( P_dll ) floorG.box( Coord3D( lo[0], lo[1], lo[2]-wall ) , Coord3D( hi[0], hi[0], lo[2] ) ) floorW = IceRayPy.core.object.Wrapper( P_dll ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ) ) floorW.pigment( pigment ) floorW.geometrySet( floorG ) ceilG = IceRayPy.core.geometry.simple.Box( P_dll ) ceilG.box( Coord3D( lo[0], lo[1], hi[2] ), Coord3D( hi[0], hi[1], hi[2] + wall ) ) ceilW = IceRayPy.core.object.Wrapper( P_dll ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ) ) ceilW.pigment( pigment ) ceilW.geometrySet( ceilG ) rtss = IceRayPy.core.geometry.rtss.Object( P_dll ) list = IceRayPy.core.geometry.rtss.List( P_dll ) rtss.rtss( list ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, leftW.cast2Geometry(), leftW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, rightW.cast2Geometry(), rightW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, backgroundW.cast2Geometry(), backgroundW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, foregroundW.cast2Geometry(), foregroundW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, floorW.cast2Geometry(), floorW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, ceilW.cast2Geometry(), ceilW ) ) wrapper = IceRayPy.core.object.Wrapper( P_dll ) wrapper.geometrySet( rtss ) return wrapper G_option =3 G_angle = 2 G_size = 4 def cornell_radiosity( P_dll ,P_config = None ,P_light = None ,P_exponat = None ): # non-classic global G_dimesion I_dimension = [ 10, 10, 5 ] I_move = [ 0, 0, I_dimension[2]/2-1 ] wall = 0.1 lo = Coord3D() lo[0] = -I_dimension[0]/2 + I_move[0] lo[1] = -I_dimension[1]/2 + I_move[1] lo[2] = -I_dimension[2]/2 + I_move[2] hi = Coord3D() hi[0] = +I_dimension[0]/2 + I_move[0] hi[1] = +I_dimension[1]/2 + I_move[1] hi[2] = +I_dimension[2]/2 + I_move[2] I_scene = { 'light': P_light, 'barrier' : P_exponat } if( 'shadow' in P_config ): if( False == P_config['shadow'] ): I_scene['barrier'] = IceRayPy.core.geometry.volumetric.Vacuum( P_dll ) leftG = IceRayPy.core.geometry.simple.Box( P_dll ) leftG.box( Coord3D( lo[0]-wall, lo[1], lo[2]) , Coord3D(lo[0], hi[1], hi[2]) ) leftW = IceRayPy.core.object.Wrapper( P_dll ) pigment = IceRayPy.utility.material.transmission.reflect.One( P_dll, I_scene ) leftW.pigment( pigment ) leftW.geometrySet( leftG ) rightG = IceRayPy.core.geometry.simple.Box( P_dll ) rightG.box( Coord3D( hi[0], lo[1], lo[2]) , Coord3D(hi[0]+ wall,hi[1], hi[2]) ) rightW = IceRayPy.core.object.Wrapper( P_dll ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.33, 0.33, 1 ) ) rightW.pigment( pigment ) rightW.geometrySet( rightG ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 1, 0.33, 0.33 ) ) backgroundG = IceRayPy.core.geometry.simple.Box( P_dll ) backgroundG.box( Coord3D( lo[0], lo[1]-wall, lo[2] ) , Coord3D( hi[0], lo[1], hi[2] ) ) backgroundW = IceRayPy.core.object.Wrapper( P_dll ) backgroundW.pigment( pigment ) backgroundW.geometrySet( backgroundG ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.33, 1, 0.33 ) ) foregroundG = IceRayPy.core.geometry.simple.Box( P_dll ) foregroundG.box( Coord3D( lo[0], hi[1], lo[2] ), Coord3D( hi[0], hi[1] + wall, hi[2] ) ) foregroundW = IceRayPy.core.object.Wrapper( P_dll ) foregroundW.pigment( pigment ) foregroundW.geometrySet( foregroundG ) global G_option global G_angle global G_size if 1 == G_option : pigment = IceRayPy.utility.material.transmission.blossom.VDC( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ), 0, 16, math.radians(G_angle) ) if 2 == G_option : pigment = IceRayPy.utility.material.transmission.blossom.Random( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ), 0, 3, math.radians(G_angle) ) if 3 == G_option : pigment = IceRayPy.utility.material.transmission.blossom.Hexagon( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ), 0, G_size, math.radians(G_angle) ) if 4 == G_option : pigment = IceRayPy.utility.material.transmission.blossom.Grid( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ), 0, 4, math.radians(G_angle) ) G_option = 3 G_angle = G_angle + 2 G_size = G_size + 1 floorG = IceRayPy.core.geometry.simple.Box( P_dll ) floorG.box( Coord3D( lo[0], lo[1], lo[2]-wall ) , Coord3D( hi[0], hi[0], lo[2] ) ) floorW = IceRayPy.core.object.Wrapper( P_dll ) floorW.pigment( pigment ) floorW.geometrySet( floorG ) pigment = IceRayPy.utility.material.illumination.Lambert( P_dll, I_scene, IceRayPy.type.color.RGB( 0.5, 0.5, 0.5 ) ) ceilG = IceRayPy.core.geometry.simple.Box( P_dll ) ceilG.box( Coord3D( lo[0], lo[1], hi[2] ), Coord3D( hi[0], hi[1], hi[2] + wall ) ) ceilW = IceRayPy.core.object.Wrapper( P_dll ) ceilW.pigment( pigment ) ceilW.geometrySet( ceilG ) rtss = IceRayPy.core.geometry.rtss.Object( P_dll ) list = IceRayPy.core.geometry.rtss.List( P_dll ) rtss.rtss( list ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, leftW.cast2Geometry(), leftW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, rightW.cast2Geometry(), rightW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, backgroundW.cast2Geometry(), backgroundW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, foregroundW.cast2Geometry(), foregroundW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, floorW.cast2Geometry(), floorW ) ) rtss.push( IceRayPy.core.geometry.Pretender( P_dll, ceilW.cast2Geometry(), ceilW ) ) wrapper = IceRayPy.core.object.Wrapper( P_dll ) wrapper.geometrySet( rtss ) return wrapper

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0.031673

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0

null

0

1

0

1

0

null

0

7

089798de1e569934ece26955144566e01c66ddf5

26,123

py

Python

ablations_code/ablations.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

49

2017-12-11T11:00:02.000Z

2022-03-30T05:19:31.000Z

ablations_code/ablations.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

2

2018-01-01T17:39:56.000Z

2019-07-24T04:49:08.000Z

ablations_code/ablations.py

leopauly/Observation-Learning-Simulations

462c04a87c45aae51537b8ea5b44646afa31d3a5

[ "MIT" ]

12

2017-12-13T11:52:17.000Z

2020-12-03T00:53:29.000Z

import numpy as np import matplotlib.pyplot as plt import tensorflow as tf from tensorflow import gfile import imageio import pickle import scipy.misc import sys from IPython.display import HTML import imageio import argparse def transform(image, resize_height=36, resize_width=64): cropped_image = scipy.misc.imresize(image, [resize_height, resize_width]) return np.array(cropped_image)/127.5 - 1. def inverse_transform(images): return (images+1.)/2. def lrelu(x, leak=0.2, name="lrelu"): return tf.maximum(x, leak*x) def conv2d(input_, output_dim, k_h=5, k_w=5, d_h=2, d_w=2, stddev=0.02, name="conv2d"): with tf.variable_scope(name): w = tf.get_variable('w', [k_h, k_w, input_.get_shape()[-1], output_dim], initializer=tf.truncated_normal_initializer(stddev=stddev)) # print("c", w.get_shape()) conv = tf.nn.conv2d(input_, w, strides=[1, d_h, d_w, 1], padding='SAME') biases = tf.get_variable('biases', [output_dim], initializer=tf.constant_initializer(0.0)) conv = tf.reshape(tf.nn.bias_add(conv, biases), conv.get_shape()) return conv class batch_norm(object): def __init__(self, epsilon=1e-5, momentum = 0.9, name="batch_norm"): with tf.variable_scope(name): self.epsilon = epsilon self.momentum = momentum self.name = name def __call__(self, x): return tf.contrib.layers.batch_norm(x, decay=self.momentum, updates_collections=None, epsilon=self.epsilon, scale=True, is_training=tftrain, scope=self.name) def linear(input_, output_size, scope=None, stddev=0.02, bias_start=0.0, with_w=False): shape = input_.get_shape().as_list() with tf.variable_scope(scope or "Linear"): matrix = tf.get_variable("Matrix", [shape[1], output_size], tf.float32, tf.random_normal_initializer(stddev=stddev)) bias = tf.get_variable("bias", [output_size], initializer=tf.constant_initializer(bias_start)) if with_w: return tf.matmul(input_, matrix) + bias, matrix, bias else: return tf.matmul(input_, matrix) + bias def deconv2d(input_, output_shape, k_h=5, k_w=5, d_h=2, d_w=2, stddev=0.02, name="deconv2d", with_w=False): with tf.variable_scope(name): # filter : [height, width, output_channels, in_channels] w = tf.get_variable('w', [k_h, k_w, output_shape[-1], input_.get_shape()[-1]], initializer=tf.random_normal_initializer(stddev=stddev)) # print("w", w.get_shape()) try: deconv = tf.nn.conv2d_transpose(input_, w, output_shape=output_shape, strides=[1, d_h, d_w, 1]) # Support for verisons of TensorFlow before 0.7.0 except AttributeError: deconv = tf.nn.deconv2d(input_, w, output_shape=output_shape, strides=[1, d_h, d_w, 1]) biases = tf.get_variable('biases', [output_shape[-1]], initializer=tf.constant_initializer(0.0)) deconv = tf.reshape(tf.nn.bias_add(deconv, biases), deconv.get_shape()) if with_w: return deconv, w, biases else: return deconv class ContextAEPushReal: def __init__(self, gf_dim=64, df_dim=64, gfc_dim=1024, dfc_dim=1024, c_dim=3): self.gf_dim = gf_dim self.df_dim = df_dim self.c_dim = c_dim self.gfc_dim = gfc_dim self.dfc_dim = dfc_dim def build(self, image, ablation_type): imgshape = image.get_shape().as_list() print(imgshape) self.output_height, self.output_width = imgshape[-3:-1] self.batch_size = imgshape[1] featsize = 100 srcimg = image[0] tgtimg = image[2] tgtctx = image[1] nf0 = 32 nf1 = 16 nf2 = 16 nf3 = 8 ns0 = 1 ns1 = 2 ns2 = 1 ns3 = 2 # with tf.variable_scope("conv_context") as scope: def encode(img): img_h0 = lrelu(conv2d(img, nf0, d_h=ns0, d_w=ns0, name='h0_conv')) img_h1 = lrelu(conv2d(img_h0, nf1, d_h=ns1, d_w=ns1, name='h1_conv')) img_h2 = lrelu(conv2d(img_h1, nf2, d_h=ns2, d_w=ns2, name='h2_conv')) img_h3 = lrelu(conv2d(img_h2, nf3, d_h=ns3, d_w=ns3, name='h3_conv')) print(img_h3.get_shape()) img_h4 = lrelu(linear(tf.nn.dropout(tf.reshape(img_h3, [self.batch_size, -1]), keep_prob), featsize, 'h4_lin')) img_z = lrelu(linear(tf.nn.dropout(img_h4, keep_prob), featsize, 'hz_lin')) return img_h0, img_h1, img_h2, img_h3, img_h4, img_z with tf.variable_scope("conv") as scope: srcimg_h0, srcimg_h1, srcimg_h2, srcimg_h3, srcimg_h4, srcimg_z = encode(srcimg) scope.reuse_variables() tgtimg_h0, tgtimg_h1, tgtimg_h2, tgtimg_h3, tgtimg_h4, tgtimg_z = encode(tgtimg) tgtctx_h0, tgtctx_h1, tgtctx_h2, tgtctx_h3, tgtctx_h4, tgtctx_z = encode(tgtctx) with tf.variable_scope("translate") as scope: trans_h0 = lrelu(linear(tf.nn.dropout(tf.concat([srcimg_z, tgtctx_z], 1), keep_prob), featsize, 'trans_h0')) trans_z = linear(tf.nn.dropout(trans_h0, keep_prob), featsize, 'trans_z') self.translated_z = trans_z s_h, s_w = self.output_height, self.output_width s_h0, s_h1, s_h2, s_h3 = \ int(s_h/ns0), int(s_h/ns0/ns1), int(s_h/ns0/ns1/ns2), int(s_h/ns0/ns1/ns2/ns3) s_w0, s_w1, s_w2, s_w3 = \ int(s_w/ns0), int(s_w/ns0/ns1), int(s_w/ns0/ns1/ns2), int(s_w/ns0/ns1/ns2/ns3) def decode(z, skip_h3, skip_h2, skip_h1, skip_h0): z_ = lrelu(linear(tf.nn.dropout(z, keep_prob), nf3*s_h3*s_w3, 'd_h0_lin')) h0 = tf.nn.dropout(tf.reshape(z_, [-1, s_h3, s_w3, nf3]), keep_prob) h1 = lrelu(deconv2d(tf.concat([h0, skip_h3], 3), [self.batch_size, s_h2, s_w2, nf2], name='d_h1', d_h=ns3, d_w=ns3)) h2 = lrelu(deconv2d(tf.concat([h1, skip_h2], 3), [self.batch_size, s_h1, s_w1, nf1], name='d_h2', d_h=ns2, d_w=ns2)) h3 = lrelu(deconv2d(tf.concat([h2, skip_h1], 3), [self.batch_size, s_h0, s_w0, nf0], name='d_h3', d_h=ns1, d_w=ns1)) print(h3.get_shape()) h4 = deconv2d(tf.concat([h3, skip_h0], 3), [self.batch_size, s_h, s_w, self.c_dim], name='d_h4', d_h=ns0, d_w=ns0) return h4 with tf.variable_scope("deconv") as scope: output_h4 = decode(trans_z, tgtctx_h3, tgtctx_h2, tgtctx_h1, tgtctx_h0) scope.reuse_variables() truthoutput_h4 = decode(tgtimg_z, tgtctx_h3, tgtctx_h2, tgtctx_h1, tgtctx_h0) self.simloss = tf.reduce_mean((trans_z - tgtimg_z) ** 2) * 1e3 print(tgtimg_z.get_shape()) self.out = output_h4 self.out2 = truthoutput_h4 print(self.out.get_shape()) self.recon1 = tf.nn.l2_loss(tgtimg - self.out) self.recon2 = tf.nn.l2_loss(tgtimg - self.out2) if ablation_type == "None": self.loss = self.recon1 + self.recon2 + self.simloss elif ablation_type == "L2": self.loss = self.recon1 + self.recon2 elif ablation_type == "L2L3": self.loss = self.recon1 elif ablation_type == "L1": self.loss = self.recon2 + self.simloss class ContextAEPush: def __init__(self, gf_dim=64, df_dim=64, gfc_dim=1024, dfc_dim=1024, c_dim=3): self.gf_dim = gf_dim self.df_dim = df_dim self.c_dim = c_dim self.gfc_dim = gfc_dim self.dfc_dim = dfc_dim def build(self, image, ablation_type): imgshape = image.get_shape().as_list() print(imgshape) self.output_height, self.output_width = imgshape[-3:-1] self.batch_size = imgshape[1] featsize = 1024 srcimg = image[0] tgtimg = image[2] tgtctx = image[1] with tf.variable_scope("conv_context") as scope: tgtctx_h0 = lrelu(conv2d(tgtctx, self.df_dim, name='h0_conv')) tgtctx_h1 = lrelu(conv2d(tgtctx_h0, self.df_dim*2, name='h1_conv')) tgtctx_h2 = lrelu(conv2d(tgtctx_h1, self.df_dim*4, name='h2_conv')) tgtctx_h3 = lrelu(conv2d(tgtctx_h2, self.df_dim*8, name='h3_conv')) tgtctx_h4 = lrelu(linear(tf.reshape(tgtctx_h3, [self.batch_size, -1]), featsize, 'h4_lin')) tgtctx_z = linear(tgtctx_h4, featsize, 'hz_lin') with tf.variable_scope("conv") as scope: srcimg_h0 = lrelu(conv2d(srcimg, self.df_dim, name='h0_conv')) srcimg_h1 = lrelu(conv2d(srcimg_h0, self.df_dim*2, name='h1_conv')) srcimg_h2 = lrelu(conv2d(srcimg_h1, self.df_dim*4, name='h2_conv')) srcimg_h3 = lrelu(conv2d(srcimg_h2, self.df_dim*8, name='h3_conv')) print(srcimg_h3.get_shape()) srcimg_h4 = lrelu(linear(tf.reshape(srcimg_h3, [self.batch_size, -1]), featsize, 'h4_lin')) srcimg_z = lrelu(linear(srcimg_h4, featsize, 'hz_lin')) scope.reuse_variables() tgtimg_h0 = lrelu(conv2d(tgtimg, self.df_dim, name='h0_conv')) tgtimg_h1 = lrelu(conv2d(tgtimg_h0, self.df_dim*2, name='h1_conv')) tgtimg_h2 = lrelu(conv2d(tgtimg_h1, self.df_dim*4, name='h2_conv')) tgtimg_h3 = lrelu(conv2d(tgtimg_h2, self.df_dim*8, name='h3_conv')) tgtimg_h4 = lrelu(linear(tf.reshape(tgtimg_h3, [self.batch_size, -1]), featsize, 'h4_lin')) tgtimg_z = lrelu(linear(tgtimg_h4, featsize, 'hz_lin')) with tf.variable_scope("translate") as scope: trans_h0 = lrelu(linear(tf.concat([srcimg_z, tgtctx_z], 1), featsize, 'trans_h0')) trans_z = linear(trans_h0, featsize, 'trans_z') self.translated_z = trans_z with tf.variable_scope("deconv") as scope: s_h, s_w = self.output_height, self.output_width s_h2, s_h4, s_h8, s_h16 = \ int(s_h/2), int(s_h/4), int(s_h/8), int(s_h/16) s_w2, s_w4, s_w8, s_w16 = \ int(s_w/2), int(s_w/4), int(s_w/8), int(s_w/16) output_z_ = lrelu(linear(trans_z, self.gf_dim*8*s_h16*s_w16, 'd_h0_lin')) output_h0 = tf.reshape(output_z_, [-1, s_h16, s_w16, self.gf_dim * 8]) output_h1 = lrelu(deconv2d(tf.concat([output_h0, tgtctx_h3], 3), [self.batch_size, s_h8, s_w8, self.gf_dim*4], name='d_h1')) output_h2 = lrelu(deconv2d(tf.concat([output_h1, tgtctx_h2], 3), [self.batch_size, s_h4, s_w4, self.gf_dim*2], name='d_h2')) output_h3 = lrelu(deconv2d(tf.concat([output_h2, tgtctx_h1], 3), [self.batch_size, s_h2, s_w2, self.gf_dim*1], name='d_h3')) output_h4 = deconv2d(tf.concat([output_h3, tgtctx_h0], 3), [self.batch_size, s_h, s_w, self.c_dim], name='d_h4') scope.reuse_variables() truthoutput_z_ = lrelu(linear(tgtimg_z, self.gf_dim*8*s_h16*s_w16, 'd_h0_lin')) truthoutput_h0 = tf.reshape(truthoutput_z_, [-1, s_h16, s_w16, self.gf_dim * 8]) truthoutput_h1 = lrelu(deconv2d(tf.concat([truthoutput_h0, tgtctx_h3], 3), [self.batch_size, s_h8, s_w8, self.gf_dim*4], name='d_h1')) truthoutput_h2 = lrelu(deconv2d(tf.concat([truthoutput_h1, tgtctx_h2], 3), [self.batch_size, s_h4, s_w4, self.gf_dim*2], name='d_h2')) truthoutput_h3 = lrelu(deconv2d(tf.concat([truthoutput_h2, tgtctx_h1], 3), [self.batch_size, s_h2, s_w2, self.gf_dim*1], name='d_h3')) truthoutput_h4 = deconv2d(tf.concat([truthoutput_h3, tgtctx_h0], 3), [self.batch_size, s_h, s_w, self.c_dim], name='d_h4') self.simloss = tf.reduce_mean((trans_z - tgtimg_z) ** 2) * 1e3 mean, var = tf.nn.moments(tgtimg_z, axes=[0]) print(var.get_shape()) # self.simloss /= tf.reduce_mean(var) print(tgtimg_z.get_shape()) self.out = output_h4# + contextimg#tf.nn.tanh(h4) self.out2 = truthoutput_h4 self.recon1 = tf.nn.l2_loss(tgtimg - self.out) self.recon2 = tf.nn.l2_loss(tgtimg - self.out2) self.loss = self.recon1 + self.recon2 + self.simloss if ablation_type == "None": self.loss = self.recon1 + self.recon2 + self.simloss elif ablation_type == "L2": self.loss = self.recon1 + self.recon2 elif ablation_type == "L2L3": self.loss = self.recon1 elif ablation_type == "L1": self.loss = self.recon2 + self.simloss class ContextAEReach: def __init__(self, gf_dim=64, df_dim=64, gfc_dim=1024, dfc_dim=1024, c_dim=3): self.gf_dim = gf_dim self.df_dim = df_dim self.c_dim = c_dim self.gfc_dim = gfc_dim self.dfc_dim = dfc_dim def build(self, image, ablation_type): imgshape = image.get_shape().as_list() print(imgshape) self.output_height, self.output_width = imgshape[-3:-1] self.batch_size = imgshape[1] featsize = 1024 srcimg = image[0] tgtimg = image[2] tgtctx = image[1] with tf.variable_scope("conv_context") as scope: tgtctx_h0 = lrelu(conv2d(tgtctx, self.df_dim, name='h0_conv')) tgtctx_h1 = lrelu(conv2d(tgtctx_h0, self.df_dim*2, name='h1_conv')) tgtctx_h2 = lrelu(conv2d(tgtctx_h1, self.df_dim*4, name='h2_conv')) tgtctx_h3 = lrelu(conv2d(tgtctx_h2, self.df_dim*8, name='h3_conv')) tgtctx_h4 = lrelu(linear(tf.reshape(tgtctx_h3, [self.batch_size, -1]), featsize, 'h4_lin')) tgtctx_z = linear(tgtctx_h4, featsize, 'hz_lin') with tf.variable_scope("conv") as scope: srcimg_h0 = lrelu(conv2d(srcimg, self.df_dim, name='h0_conv')) srcimg_h1 = lrelu(conv2d(srcimg_h0, self.df_dim*2, name='h1_conv')) srcimg_h2 = lrelu(conv2d(srcimg_h1, self.df_dim*4, name='h2_conv')) srcimg_h3 = lrelu(conv2d(srcimg_h2, self.df_dim*8, name='h3_conv')) print(srcimg_h3.get_shape()) srcimg_h4 = lrelu(linear(tf.reshape(srcimg_h3, [self.batch_size, -1]), featsize, 'h4_lin')) srcimg_z = lrelu(linear(srcimg_h4, featsize, 'hz_lin')) scope.reuse_variables() tgtimg_h0 = lrelu(conv2d(tgtimg, self.df_dim, name='h0_conv')) tgtimg_h1 = lrelu(conv2d(tgtimg_h0, self.df_dim*2, name='h1_conv')) tgtimg_h2 = lrelu(conv2d(tgtimg_h1, self.df_dim*4, name='h2_conv')) tgtimg_h3 = lrelu(conv2d(tgtimg_h2, self.df_dim*8, name='h3_conv')) tgtimg_h4 = lrelu(linear(tf.reshape(tgtimg_h3, [self.batch_size, -1]), featsize, 'h4_lin')) tgtimg_z = lrelu(linear(tgtimg_h4, featsize, 'hz_lin')) with tf.variable_scope("translate") as scope: trans_h0 = lrelu(linear(tf.concat([srcimg_z, tgtctx_z], 1), featsize, 'trans_h0')) trans_z = linear(trans_h0, featsize, 'trans_z') self.translated_z = trans_z with tf.variable_scope("deconv") as scope: s_h, s_w = self.output_height, self.output_width s_h2, s_h4, s_h8, s_h16 = \ int(s_h/2), int(s_h/4), int(s_h/8), int(s_h/16) s_w2, s_w4, s_w8, s_w16 = \ int(s_w/2), int(s_w/4), int(s_w/8), int(s_w/16) output_z_ = lrelu(linear(trans_z, self.gf_dim*8*s_h16*s_w16, 'd_h0_lin')) output_h0 = tf.reshape(output_z_, [-1, s_h16, s_w16, self.gf_dim * 8]) output_h1 = lrelu(deconv2d(tf.concat([output_h0, tgtctx_h3], 3), [self.batch_size, s_h8, s_w8, self.gf_dim*4], name='d_h1')) output_h2 = lrelu(deconv2d(tf.concat([output_h1, tgtctx_h2], 3), [self.batch_size, s_h4, s_w4, self.gf_dim*2], name='d_h2')) output_h3 = lrelu(deconv2d(tf.concat([output_h2, tgtctx_h1], 3), [self.batch_size, s_h2, s_w2, self.gf_dim*1], name='d_h3')) output_h4 = deconv2d(tf.concat([output_h3, tgtctx_h0], 3), [self.batch_size, s_h, s_w, self.c_dim], name='d_h4') scope.reuse_variables() truthoutput_z_ = lrelu(linear(tgtimg_z, self.gf_dim*8*s_h16*s_w16, 'd_h0_lin')) truthoutput_h0 = tf.reshape(truthoutput_z_, [-1, s_h16, s_w16, self.gf_dim * 8]) truthoutput_h1 = lrelu(deconv2d(tf.concat([truthoutput_h0, tgtctx_h3], 3), [self.batch_size, s_h8, s_w8, self.gf_dim*4], name='d_h1')) truthoutput_h2 = lrelu(deconv2d(tf.concat([truthoutput_h1, tgtctx_h2], 3), [self.batch_size, s_h4, s_w4, self.gf_dim*2], name='d_h2')) truthoutput_h3 = lrelu(deconv2d(tf.concat([truthoutput_h2, tgtctx_h1], 3), [self.batch_size, s_h2, s_w2, self.gf_dim*1], name='d_h3')) truthoutput_h4 = deconv2d(tf.concat([truthoutput_h3, tgtctx_h0], 3), [self.batch_size, s_h, s_w, self.c_dim], name='d_h4') self.simloss = tf.reduce_mean((trans_z - tgtimg_z) ** 2) * 1e3 mean, var = tf.nn.moments(tgtimg_z, axes=[0]) print(var.get_shape()) # self.simloss /= tf.reduce_mean(var) print(tgtimg_z.get_shape()) self.out = output_h4# + contextimg#tf.nn.tanh(h4) self.out2 = truthoutput_h4 self.recon1 = tf.nn.l2_loss(tgtimg - self.out) self.recon2 = tf.nn.l2_loss(tgtimg - self.out2) # self.loss = self.recon1 + self.recon2 + self.simloss if ablation_type == "None": self.loss = self.recon1 + self.recon2 + self.simloss elif ablation_type == "L2": self.loss = self.recon1 + self.recon2 elif ablation_type == "L2L3": self.loss = self.recon1 elif ablation_type == "L1": self.loss = self.recon2 + self.simloss class ContextAESweep: def __init__(self, gf_dim=64, df_dim=64, gfc_dim=1024, dfc_dim=1024, c_dim=3): self.gf_dim = gf_dim self.df_dim = df_dim self.c_dim = c_dim self.gfc_dim = gfc_dim self.dfc_dim = dfc_dim def build(self, image, ablation_type): imgshape = image.get_shape().as_list() print(imgshape) self.output_height, self.output_width = imgshape[-3:-1] self.batch_size = imgshape[1] featsize = 100 srcimg = image[0] tgtimg = image[2] tgtctx = image[1] nf0 = 32 nf1 = 16 nf2 = 16 nf3 = 8 ns0 = 1 ns1 = 2 ns2 = 1 ns3 = 2 # with tf.variable_scope("conv_context") as scope: def encode(img): img_h0 = lrelu(conv2d(img, nf0, d_h=ns0, d_w=ns0, name='h0_conv')) img_h1 = lrelu(conv2d(img_h0, nf1, d_h=ns1, d_w=ns1, name='h1_conv')) img_h2 = lrelu(conv2d(img_h1, nf2, d_h=ns2, d_w=ns2, name='h2_conv')) img_h3 = lrelu(conv2d(img_h2, nf3, d_h=ns3, d_w=ns3, name='h3_conv')) print(img_h3.get_shape()) img_h4 = lrelu(linear(tf.nn.dropout(tf.reshape(img_h3, [self.batch_size, -1]), keep_prob), featsize, 'h4_lin')) img_z = lrelu(linear(tf.nn.dropout(img_h4, keep_prob), featsize, 'hz_lin')) return img_h0, img_h1, img_h2, img_h3, img_h4, img_z with tf.variable_scope("conv") as scope: srcimg_h0, srcimg_h1, srcimg_h2, srcimg_h3, srcimg_h4, srcimg_z = encode(srcimg) scope.reuse_variables() tgtimg_h0, tgtimg_h1, tgtimg_h2, tgtimg_h3, tgtimg_h4, tgtimg_z = encode(tgtimg) tgtctx_h0, tgtctx_h1, tgtctx_h2, tgtctx_h3, tgtctx_h4, tgtctx_z = encode(tgtctx) with tf.variable_scope("translate") as scope: trans_h0 = lrelu(linear(tf.nn.dropout(tf.concat([srcimg_z, tgtctx_z], 1), keep_prob), featsize, 'trans_h0')) trans_z = linear(tf.nn.dropout(trans_h0, keep_prob), featsize, 'trans_z') self.translated_z = trans_z s_h, s_w = self.output_height, self.output_width s_h0, s_h1, s_h2, s_h3 = \ int(s_h/ns0), int(s_h/ns0/ns1), int(s_h/ns0/ns1/ns2), int(s_h/ns0/ns1/ns2/ns3) s_w0, s_w1, s_w2, s_w3 = \ int(s_w/ns0), int(s_w/ns0/ns1), int(s_w/ns0/ns1/ns2), int(s_w/ns0/ns1/ns2/ns3) def decode(z, skip_h3, skip_h2, skip_h1, skip_h0): z_ = lrelu(linear(tf.nn.dropout(z, keep_prob), nf3*s_h3*s_w3, 'd_h0_lin')) h0 = tf.nn.dropout(tf.reshape(z_, [-1, s_h3, s_w3, nf3]), keep_prob) import IPython IPython.embed() h1 = lrelu(deconv2d(tf.concat([h0, skip_h3], 3), [self.batch_size, s_h2, s_w2, nf2], name='d_h1', d_h=ns3, d_w=ns3)) h2 = lrelu(deconv2d(tf.concat([h1, skip_h2], 3), [self.batch_size, s_h1, s_w1, nf1], name='d_h2', d_h=ns2, d_w=ns2)) h3 = lrelu(deconv2d(tf.concat([h2, skip_h1], 3), [self.batch_size, s_h0, s_w0, nf0], name='d_h3', d_h=ns1, d_w=ns1)) print(h3.get_shape()) h4 = deconv2d(tf.concat([h3, skip_h0], 3), [self.batch_size, s_h, s_w, self.c_dim], name='d_h4', d_h=ns0, d_w=ns0) return h4 with tf.variable_scope("deconv") as scope: output_h4 = decode(trans_z, tgtctx_h3, tgtctx_h2, tgtctx_h1, tgtctx_h0) scope.reuse_variables() truthoutput_h4 = decode(tgtimg_z, tgtctx_h3, tgtctx_h2, tgtctx_h1, tgtctx_h0) self.simloss = tf.reduce_mean((trans_z - tgtimg_z) ** 2) * 1e3 print(tgtimg_z.get_shape()) self.out = output_h4 self.out2 = truthoutput_h4 print(self.out.get_shape()) self.recon1 = tf.nn.l2_loss(tgtimg - self.out) self.recon2 = tf.nn.l2_loss(tgtimg - self.out2) self.loss = self.recon1 + self.recon2 + self.simloss if ablation_type == "None": self.loss = self.recon1 + self.recon2 + self.simloss elif ablation_type == "L2": self.loss = self.recon1 + self.recon2 elif ablation_type == "L2L3": self.loss = self.recon1 elif ablation_type == "L1": self.loss = self.recon2 + self.simloss if __name__ == "__main__": #TODO: add in an argparse parser = argparse.ArgumentParser(description='Run ablations on models') parser.add_argument('experiment_type', type=str, help='type of ablation') parser.add_argument('ablation_type', type=str, help='type of ablation') parser.add_argument('data_location', type=str, help='data_location') args = parser.parse_args() vdata = np.load(args.data_location) tf.reset_default_graph() idim = (36, 64) keep_prob = tf.placeholder(tf.float32, name='keep_prob') tftrain = tf.placeholder(tf.bool, name='tftrain') batch_size=100 if (args.experiment_type == "reach") or (args.experiment_type == "push"): idim = (48, 48) tfinput = tf.placeholder(tf.float32, (3, batch_size) + idim + (3, ), name='x') if args.experiment_type == "reach": test = ContextAEReach() elif args.experiment_type == "push": test = ContextAEPush() elif args.experiment_type == "pushreal": test = ContextAEPushReal() elif args.experiment_type == "sweep": test = ContextAESweep() test.build(tfinput, args.ablation_type) config = tf.ConfigProto() config.gpu_options.allow_growth=True sess = tf.Session(config=config) learning_rate = tf.placeholder(tf.float32, shape=[]) optimizer = tf.train.AdamOptimizer(learning_rate).minimize(test.loss) sess.run(tf.global_variables_initializer()) allloss = [] validloss = [] itr = 0 saver = tf.train.Saver() n = vdata.shape[1] nlen = vdata.shape[0] ntrain = int(0.8*n) nvalid = n - ntrain validdata = vdata[:, ntrain:] traindata = vdata[:, :ntrain] while True: choicesrc = np.random.choice(ntrain, batch_size) choicetgt = np.random.choice(ntrain, batch_size) srcdata = traindata[np.arange(0, batch_size) % nlen, choicesrc] tgtdata = traindata[np.arange(0, batch_size) % nlen, choicetgt] tgtctx = traindata[0, choicetgt] batch = [srcdata, tgtctx, tgtdata] _, loss, sim, r1, r2 = sess.run( [optimizer, test.loss, test.simloss, test.recon1, test.recon2], {tfinput: batch, learning_rate:1e-4, tftrain:False, keep_prob:0.5}) if itr % 4 == 0: print(loss, sim, r1, r2) allloss.append(loss) if itr % 40 == 0: choicesrc = np.random.choice(nvalid, batch_size) choicetgt = np.random.choice(nvalid, batch_size) srcdata = validdata[np.arange(0, batch_size) % nlen, choicesrc] tgtdata = validdata[np.arange(0, batch_size) % nlen, choicetgt] tgtctx = validdata[0, choicetgt] batch = [srcdata, tgtctx, tgtdata] loss, sim, r1, r2 = sess.run([test.loss, test.simloss, test.recon1, test.recon2], {tfinput: batch, tftrain:False, keep_prob:1.0}) print(loss, sim, r1, r2,'E') validloss.append(loss) saver.save(sess, 'ablation_' + str(args.experiment_type) + '_' + str(args.ablation_type) + "_" + str(itr)) if itr == 30000 or (itr>30000 and itr%10000 == 0): import IPython IPython.embed() itr += 1

46.317376

123

0.591777

3,817

26,123

3.787791

0.07388

0.028635

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0.801425

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0.755153

0.752525

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0.274892

26,123

564

124

46.317376

0.708954

0.018949

0

0.736515

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null

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1

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null

0

7

4104c5aaff9b97c65248d6fc9399c81996d73373

10,802

py

Python

src/spitfire/time/stepcontrol.py

sandialabs/Spitfire

65670e3ba5d1ccb4ac72524b77957706345c5bf6

[ "Apache-2.0" ]

11

2020-03-20T02:10:17.000Z

2021-12-14T10:08:09.000Z

src/spitfire/time/stepcontrol.py

sandialabs/Spitfire

65670e3ba5d1ccb4ac72524b77957706345c5bf6

[ "Apache-2.0" ]

18

2020-03-18T18:58:56.000Z

2021-12-21T02:35:35.000Z

src/spitfire/time/stepcontrol.py

sandialabs/Spitfire

65670e3ba5d1ccb4ac72524b77957706345c5bf6

[ "Apache-2.0" ]

2

2021-05-31T17:24:56.000Z

2021-06-20T05:27:41.000Z

""" This module contains controllers for adaptive time stepping based on embedded temporal error estimation. """ # Spitfire - a Python-C++ library for building tabulated chemistry models and solving differential equations # Copyright 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS). # # You should have received a copy of the 3-clause BSD License # along with this program. If not, see <https://opensource.org/licenses/BSD-3-Clause>. # # Questions? Contact Mike Hansen (mahanse@sandia.gov) from numpy import zeros, min, copy class ConstantTimeStep(object): """A simple wrapper class for a constant time step. **Constructor**: Parameters ---------- step_size : float the size of the time step """ def __init__(self, step_size): self.step_size = step_size def __call__(self, *args, **kwargs): return self.step_size def first_step_size(self): """Obtain the initial step size""" return self.step_size def last_step_size(self): """Obtain the most recent step size""" return self.step_size def target_error(self): """Obtain the most target error, needed here just to avoid a base class""" return -1. def step_size_is_constant(self): """Whether or not this controller has a constant or variable step size""" return True class PIController(object): """A PI controller on the embedded temporal error estimate **Constructor**: Parameters ---------- kp : float the modal gain of the proportional control mode (default: 0.06666666667) ki : float the modal gain of the integral control mode (default: 0.1333333333) target_error : float the target error for the controller (default: 1.e-10) max_step : float the maximum allowable time step (default: 1.e-3) max_ramp : float the maximum allowable rate of increase of the time step (default: 1.1) first_step : float the initial step size (default: 1.e-6) """ def __init__(self, kp=0.06666666667, ki=0.1333333333, target_error=1.e-4, max_step=1.e4, max_ramp=1.1, first_step=1.e-3): self._kp = kp self._ki = ki self._target_error = target_error self._max_step = max_step self._max_ramp = max_ramp self._first_step = first_step self._number_of_old_values = 2 self._err_history = zeros(self._number_of_old_values) self._step_history = zeros(self._number_of_old_values) def __call__(self, step_count, step, step_output, *args, **kwargs): error = step_output.temporal_error if error < 1.e-16: return min([step * self._max_ramp, self._max_step]) if step_count < self._number_of_old_values - 1: self._err_history[step_count] = error self._step_history[step_count] = step else: self._err_history[:-1] = self._err_history[1:] self._step_history[:-1] = self._step_history[1:] self._err_history[-1] = error self._step_history[-1] = step if step_count == 0: mod = min([self._max_ramp, (self._target_error / error) ** self._ki]) else: mod = min([self._max_ramp, (self._target_error / error) ** self._ki * (self._err_history[-1] / error) ** self._kp]) return min([step * mod, self._max_step]) def first_step_size(self): """Obtain the initial step size""" return self._first_step def last_step_size(self): """Obtain the most recent step size""" return self._step_history[-1] def target_error(self): """Obtain the most target error, needed here just to avoid a base class""" return self._target_error def step_size_is_constant(self): """Whether or not this controller has a constant or variable step size""" return False class CascadeController(object): """A two-level cascade control system on the embedded temporal error estimate and the ratio of two estimates. The stepper method must support multiple embedded error estimates. **Constructor**: Parameters ---------- kp : float the modal gain of the proportional control mode for the error controller (default: 0.06666666667) ki : float the modal gain of the integral control mode for the error controller (default: 0.1333333333) ratio_kp : float the modal gain of the proportional control mode for the ratio controller (default: 0.1) ratio_ki : float the modal gain of the integral control mode for the ratio controller (default: 0.3) target_ratio : float the value of the target ratio for the controller (default: 1.e-2) initial_target_error : float the initial value of the target error for the controller (default: 1.e-10) max_step : float the maximum allowable time step (default: 1.e-3) max_ramp : float the maximum allowable rate of increase of the time step (default: 1.1) first_step : float the initial step size (default: 1.e-6) """ def __init__(self, kp=0.06666666667, ki=0.1333333333, ratio_kp=0.1, ratio_ki=0.3, initial_target_error=1.e-10, target_ratio=1.e-2, max_step=1.e-3, max_ramp=1.1, first_step=1.e-6): self._kp = kp self._ki = ki self._ratio_kp = ratio_kp self._ratio_ki = ratio_ki self._target_ratio = target_ratio self._initial_target_error = initial_target_error self._target_error = copy(initial_target_error) self._max_step = max_step self._max_ramp = max_ramp self._first_step = first_step self._number_of_old_values = 2 self._ratio_history = zeros(self._number_of_old_values) self._err_history = zeros(self._number_of_old_values) self._step_history = zeros(self._number_of_old_values) def __call__(self, step_count, step, step_output, *args, **kwargs): error = step_output.temporal_error ratio = error / (1.e-12 + step_output.extra_errors[0]) if error < 1.e-16: return min([step * self._max_ramp, self._max_step]) if step_count < self._number_of_old_values - 1: self._err_history[step_count] = error self._ratio_history[step_count] = ratio self._step_history[step_count] = step else: self._err_history[:-1] = self._err_history[1:] self._ratio_history[:-1] = self._ratio_history[1:] self._step_history[:-1] = self._step_history[1:] self._err_history[-1] = error self._ratio_history[-1] = ratio self._step_history[-1] = step if step_count == 0: mod = min([self._max_ramp, (self._target_error / error) ** self._ki]) err_mod = (self._target_ratio / ratio) ** self._ratio_ki else: mod = min([self._max_ramp, (self._target_error / error) ** self._ki * (self._err_history[-1] / error) ** self._kp]) err_mod = min([self._max_ramp, (self._target_ratio / ratio) ** self._ratio_ki * ( self._ratio_history[-1] / ratio) ** self._ratio_kp]) self._target_error *= err_mod return min([step * mod, self._max_step]) def first_step_size(self): """Obtain the initial step size""" return self._first_step def last_step_size(self): """Obtain the most recent step size""" return self._step_history[-1] def target_error(self): """Obtain the most target error, needed here just to avoid a base class""" return self._target_error def step_size_is_constant(self): """Whether or not this controller has a constant or variable step size""" return False class RatioController(object): """A PI controller on the ratio of two embedded temporal error estimates The stepper method must support multiple embedded error estimates. **Constructor**: Parameters ---------- kp : float the modal gain of the proportional control mode (default: 0.1) ki : float the modal gain of the integral control mode (default: 0.3) target_ratio : float the target error ratio for the controller (default: 1.e-2) max_step : float the maximum allowable time step (default: 1.e-3) max_ramp : float the maximum allowable rate of increase of the time step (default: 1.1) first_step : float the initial step size (default: 1.e-6) """ def __init__(self, kp=0.1, ki=0.3, target_ratio=1.e-2, max_step=1.e-3, max_ramp=1.1, first_step=1.e-6): self._kp = kp self._ki = ki self._target_ratio = target_ratio self._max_step = max_step self._max_ramp = max_ramp self._first_step = first_step self._number_of_old_values = 2 self._ratio_history = zeros(self._number_of_old_values) self._step_history = zeros(self._number_of_old_values) def __call__(self, step_count, step, step_output, *args, **kwargs): error = step_output.temporal_error ratio = error / (1.e-12 + step_output.extra_errors[0]) if error < 1.e-16: return min([step * self._max_ramp, self._max_step]) if step_count < self._number_of_old_values - 1: self._ratio_history[step_count] = ratio self._step_history[step_count] = step else: self._ratio_history[:-1] = self._ratio_history[1:] self._step_history[:-1] = self._step_history[1:] self._ratio_history[-1] = ratio self._step_history[-1] = step if step_count == 0: mod = min([self._max_ramp, (self._target_ratio / ratio) ** self._ki]) else: mod = min([self._max_ramp, (self._target_ratio / ratio) ** self._ki * (self._ratio_history[-1] / ratio) ** self._kp]) return min([step * mod, self._max_step]) def first_step_size(self): """Obtain the initial step size""" return self._first_step def last_step_size(self): """Obtain the most recent step size""" return self._step_history[-1] def target_error(self): """Obtain the most target error, needed here just to avoid a base class""" return 1.e305 def step_size_is_constant(self): """Whether or not this controller has a constant or variable step size""" return False

38.169611

128

0.626365

1,479

10,802

4.302231

0.11021

0.042747

0.042433

0.030646

0.832626

0.829797

0.812353

0.783435

0.752318

0

0.029197

0.277078

10,802

282

129

38.304965

0.785632

0.354194

0

0.794521

0

1

0.164384

false

0

0.006849

0.356164

0

null

0

1

0

1

0

null

0

7

de5de7002324906d0d22d395d4fb5c794a5c9c06

783

py

Python

metadata-ingestion/tests/unit/test_config_clean.py

pramodbiligiri/datahub

892adbcf330a9c7c687a293dd3edeca9fa0e2fd8

[ "Apache-2.0" ]

3,586

2020-01-27T11:09:57.000Z

2022-03-15T16:13:30.000Z

metadata-ingestion/tests/unit/test_config_clean.py

iamduyu/datahub

4c33124e8f5582749877e30ac2b0c0c1bfa06f42

[ "Apache-2.0" ]

1,678

2020-01-27T20:51:01.000Z

2022-03-15T15:22:02.000Z

metadata-ingestion/tests/unit/test_config_clean.py

iamduyu/datahub

4c33124e8f5582749877e30ac2b0c0c1bfa06f42

[ "Apache-2.0" ]

924

2020-01-28T20:10:50.000Z

2022-03-15T10:01:23.000Z

from datahub.utilities import config_clean def test_url_without_slash_suffix(): assert ( config_clean.remove_trailing_slashes("http://example.com") == "http://example.com" ) def test_url_with_suffix(): assert ( config_clean.remove_trailing_slashes("http://example.com/") == "http://example.com" ) def test_url_with_multiple_slashes(): assert ( config_clean.remove_trailing_slashes("http://example.com/a/b/c") == "http://example.com/a/b/c" ) assert ( config_clean.remove_trailing_slashes("http://example.com/a/b/c/") == "http://example.com/a/b/c" ) assert ( config_clean.remove_trailing_slashes("http://example.com/a/b/c///") == "http://example.com/a/b/c" )

25.258065

75

0.624521

101

783

4.574257

0.237624

0.238095

0.30303

0.194805

0.839827

0

0.212005

783

30

76

26.1

0.748784

0

0.416667

0

0.282248

0

0.208333

1

0.125

true

0

0.041667

0

0.166667

0

null

1

0

null

0

1

0

10

de61a43aba4bc5b50d446da1c1ecb058e7e3e800

30,507

py

Python

authnzerver/tests/test_server.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

3

2019-06-02T12:57:08.000Z

2020-04-01T14:00:12.000Z

authnzerver/tests/test_server.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

7

2020-03-17T21:55:41.000Z

2020-07-07T22:58:48.000Z

authnzerver/tests/test_server.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

2

2020-03-04T06:56:27.000Z

2020-03-24T08:39:11.000Z

'''test_server.py - Waqas Bhatti (waqas.afzal.bhatti@gmail.com) - Mar 2020 License: MIT. See the LICENSE file for details. This tests the actual running server. ''' import secrets import subprocess import requests import os.path import time from datetime import datetime, timedelta from pytest import mark from authnzerver.autosetup import autogen_secrets_authdb from authnzerver.messaging import encrypt_message, decrypt_message @mark.skipif( os.environ.get("GITHUB_WORKFLOW", None) is not None, reason="github doesn't allow server tests probably" ) def test_server_with_env(monkeypatch, tmpdir): ''' This tests if the server starts fine with all config in the environment. ''' # the basedir will be the pytest provided temporary directory basedir = str(tmpdir) # we'll make the auth DB and secrets file first authdb_path, creds, secrets_file, salt_file, env_file = ( autogen_secrets_authdb( basedir, interactive=False ) ) # read in the secrets file for the secret with open(secrets_file,'r') as infd: secret = infd.read().strip('\n') # read in the salts file for the salt with open(salt_file,'r') as infd: salt = infd.read().strip('\n') # read the creds file so we can try logging in with open(creds,'r') as infd: useremail, password = infd.read().strip('\n').split() # get a temp directory tmpdir = os.path.join('/tmp', 'authnzrv-%s' % secrets.token_urlsafe(8)) server_listen = '127.0.0.1' server_port = '18158' # set up the environment monkeypatch.setenv("AUTHNZERVER_AUTHDB", authdb_path) monkeypatch.setenv("AUTHNZERVER_BASEDIR", basedir) monkeypatch.setenv("AUTHNZERVER_CACHEDIR", tmpdir) monkeypatch.setenv("AUTHNZERVER_DEBUGMODE", "0") monkeypatch.setenv("AUTHNZERVER_LISTEN", server_listen) monkeypatch.setenv("AUTHNZERVER_PORT", server_port) monkeypatch.setenv("AUTHNZERVER_SECRET", secret) monkeypatch.setenv("AUTHNZERVER_PIISALT", salt) monkeypatch.setenv("AUTHNZERVER_SESSIONEXPIRY", "60") monkeypatch.setenv("AUTHNZERVER_WORKERS", "1") monkeypatch.setenv("AUTHNZERVER_EMAILSERVER", "smtp.test.org") monkeypatch.setenv("AUTHNZERVER_EMAILPORT", "25") monkeypatch.setenv("AUTHNZERVER_EMAILUSER", "testuser") monkeypatch.setenv("AUTHNZERVER_EMAILPASS", "testpass") monkeypatch.setenv( "AUTHNZERVER_RATELIMITS", "ipaddr:300;user:360;session:120;apikey:720;burst:150;" "user-new:50;user-login:50" ) # launch the server subprocess p = subprocess.Popen("authnzrv", shell=True) # wait 2.5 seconds for the server to start time.sleep(2.5) try: # # 1. hit the server with a request for a new session # # create a new anonymous session token session_payload = { 'user_id':2, 'user_agent':'Mozzarella Killerwhale', 'expires':datetime.utcnow()+timedelta(hours=1), 'ip_address': '1.1.1.1', 'extra_info_json':{'pref_datasets_always_private':True} } request_dict = { 'request':'session-new', 'body':session_payload, 'reqid':101, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=1.0 ) resp.raise_for_status() # decrypt the response response_dict = decrypt_message(resp.text, secret) assert response_dict['reqid'] == request_dict['reqid'] assert response_dict['success'] is True assert isinstance(response_dict['response'], dict) assert response_dict['response']['session_token'] is not None # # 2. login as the superuser # request_dict = { 'request':'user-login', 'body':{ 'session_token':response_dict['response']['session_token'], 'email':useremail, 'password':password }, 'reqid':102, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=1.0 ) resp.raise_for_status() # decrypt the response response_dict = decrypt_message(resp.text, secret) assert response_dict['reqid'] == request_dict['reqid'] assert response_dict['success'] is True assert isinstance(response_dict['response'], dict) assert response_dict['response']['user_id'] == 1 # # kill the server at the end # finally: p.terminate() try: p.communicate(timeout=3.0) p.kill() except Exception: pass # make sure to kill authnzrv on some Linux machines. use lsof and the # port number to find the remaining authnzrv processes and kill them # subprocess.call( # "lsof | grep 18158 | awk '{ print $2 }' | sort | uniq | xargs kill -2", # shell=True # ) @mark.skipif( os.environ.get("GITHUB_WORKFLOW", None) is not None, reason="github doesn't allow server tests probably" ) def test_server_invalid_logins(monkeypatch, tmpdir): '''This tests if the server responds appropriately to invalid logins. The timing difference between successive failed logins should increase roughly exponentially. ''' # the basedir will be the pytest provided temporary directory basedir = str(tmpdir) # we'll make the auth DB and secrets file first authdb_path, creds, secrets_file, salt_file, env_file = ( autogen_secrets_authdb( basedir, interactive=False ) ) # read in the secrets file for the secret with open(secrets_file,'r') as infd: secret = infd.read().strip('\n') # read in the salts file for the salt with open(salt_file,'r') as infd: salt = infd.read().strip('\n') # read the creds file so we can try logging in with open(creds,'r') as infd: useremail, password = infd.read().strip('\n').split() # get a temp directory tmpdir = os.path.join('/tmp', 'authnzrv-%s' % secrets.token_urlsafe(8)) server_listen = '127.0.0.1' server_port = '18158' # set up the environment monkeypatch.setenv("AUTHNZERVER_AUTHDB", authdb_path) monkeypatch.setenv("AUTHNZERVER_BASEDIR", basedir) monkeypatch.setenv("AUTHNZERVER_CACHEDIR", tmpdir) monkeypatch.setenv("AUTHNZERVER_DEBUGMODE", "0") monkeypatch.setenv("AUTHNZERVER_LISTEN", server_listen) monkeypatch.setenv("AUTHNZERVER_PORT", server_port) monkeypatch.setenv("AUTHNZERVER_SECRET", secret) monkeypatch.setenv("AUTHNZERVER_PIISALT", salt) monkeypatch.setenv("AUTHNZERVER_SESSIONEXPIRY", "60") monkeypatch.setenv("AUTHNZERVER_WORKERS", "1") monkeypatch.setenv("AUTHNZERVER_EMAILSERVER", "smtp.test.org") monkeypatch.setenv("AUTHNZERVER_EMAILPORT", "25") monkeypatch.setenv("AUTHNZERVER_EMAILUSER", "testuser") monkeypatch.setenv("AUTHNZERVER_EMAILPASS", "testpass") monkeypatch.setenv( "AUTHNZERVER_RATELIMITS", "ipaddr:300;user:360;session:120;apikey:720;burst:150;" "user-new:50;user-login:50" ) # launch the server subprocess p = subprocess.Popen("authnzrv", shell=True) # wait 2.5 seconds for the server to start time.sleep(2.5) timing = [] try: # # attempt to login as the superuser several times with the wrong # password # for i in range(5): # create a new anonymous session token session_payload = { 'user_id':2, 'user_agent':'Mozzarella Killerwhale', 'expires':datetime.utcnow()+timedelta(hours=1), 'ip_address': '1.1.1.1', 'extra_info_json':{'pref_datasets_always_private':True} } request_dict = { 'request':'session-new', 'body':session_payload, 'reqid':i, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=1.0 ) resp.raise_for_status() # decrypt the response session_dict = decrypt_message(resp.text, secret) assert session_dict['reqid'] == request_dict['reqid'] assert session_dict['success'] is True assert isinstance(session_dict['response'], dict) assert session_dict['response']['session_token'] is not None request_dict = { 'request':'user-login', 'body':{ 'session_token':session_dict['response']['session_token'], 'email':useremail, 'password':'%s-%i' % (password,i) }, 'reqid':10*i + 10, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) start_login_time = time.monotonic() # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=60.0 ) resp.raise_for_status() timing.append(time.monotonic() - start_login_time) # decrypt the response response_dict = decrypt_message(resp.text, secret) assert response_dict['reqid'] == request_dict['reqid'] assert response_dict['success'] is False assert isinstance(response_dict['response'], dict) assert response_dict['response']['user_id'] is None # # check if the timings follow the expected trend # diffs = [timing[x+1]-timing[x] for x in range(4)] diffs_increasing = all(diffs[x+1] > diffs[x] for x in range(3)) assert diffs_increasing is True # now login wih the correct password and see if the login time goes back # to normal session_payload = { 'user_id':2, 'user_agent':'Mozzarella Killerwhale', 'expires':datetime.utcnow()+timedelta(hours=1), 'ip_address': '1.1.1.1', 'extra_info_json':{'pref_datasets_always_private':True} } request_dict = { 'request':'session-new', 'body':session_payload, 'reqid':1004, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=1.0 ) resp.raise_for_status() # decrypt the response session_dict = decrypt_message(resp.text, secret) assert session_dict['reqid'] == request_dict['reqid'] assert session_dict['success'] is True assert isinstance(session_dict['response'], dict) assert session_dict['response']['session_token'] is not None request_dict = { 'request':'user-login', 'body':{ 'session_token':session_dict['response']['session_token'], 'email':useremail, 'password':password }, 'reqid':1005, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) start_login_time = time.monotonic() # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=60.0 ) resp.raise_for_status() timing.append(time.monotonic() - start_login_time) # decrypt the response response_dict = decrypt_message(resp.text, secret) assert response_dict['reqid'] == request_dict['reqid'] assert response_dict['success'] is True assert isinstance(response_dict['response'], dict) assert response_dict['response']['user_id'] == 1 # the latest time should be less than the 1st time (when throttling was # activated) and also less than the immediately previous time assert ((timing[-1] < timing[0]) and (timing[-1] < timing[-2])) finally: # # kill the server at the end # p.terminate() try: p.communicate(timeout=3.0) p.kill() except Exception: pass # make sure to kill authnzrv on some Linux machines. use lsof and the # port number to find the remaining authnzrv processes and kill them # subprocess.call( # "lsof | grep 18158 | awk '{ print $2 }' | sort | uniq | xargs kill -2", # shell=True # ) @mark.skipif( os.environ.get("GITHUB_WORKFLOW", None) is not None, reason="github doesn't allow server tests probably" ) def test_server_invalid_logins_with_lock(monkeypatch, tmpdir): '''This tests if the server responds appropriately to invalid logins. The timing difference between successive failed logins should increase roughly exponentially. In addition, the user should be locked out of their account for the configured amount of time and unlocked thereafter. ''' # the basedir will be the pytest provided temporary directory basedir = str(tmpdir) # we'll make the auth DB and secrets file first authdb_path, creds, secrets_file, salt_file, env_file = ( autogen_secrets_authdb( basedir, interactive=False ) ) # read in the secrets file for the secret with open(secrets_file,'r') as infd: secret = infd.read().strip('\n') # read in the salts file for the salt with open(salt_file,'r') as infd: salt = infd.read().strip('\n') # read the creds file so we can try logging in with open(creds,'r') as infd: useremail, password = infd.read().strip('\n').split() # get a temp directory tmpdir = os.path.join('/tmp', 'authnzrv-%s' % secrets.token_urlsafe(8)) server_listen = '127.0.0.1' server_port = '18158' # set up the environment monkeypatch.setenv("AUTHNZERVER_AUTHDB", authdb_path) monkeypatch.setenv("AUTHNZERVER_BASEDIR", basedir) monkeypatch.setenv("AUTHNZERVER_CACHEDIR", tmpdir) monkeypatch.setenv("AUTHNZERVER_DEBUGMODE", "0") monkeypatch.setenv("AUTHNZERVER_LISTEN", server_listen) monkeypatch.setenv("AUTHNZERVER_PORT", server_port) monkeypatch.setenv("AUTHNZERVER_SECRET", secret) monkeypatch.setenv("AUTHNZERVER_PIISALT", salt) monkeypatch.setenv("AUTHNZERVER_SESSIONEXPIRY", "60") monkeypatch.setenv("AUTHNZERVER_WORKERS", "1") monkeypatch.setenv("AUTHNZERVER_EMAILSERVER", "smtp.test.org") monkeypatch.setenv("AUTHNZERVER_EMAILPORT", "25") monkeypatch.setenv("AUTHNZERVER_EMAILUSER", "testuser") monkeypatch.setenv("AUTHNZERVER_EMAILPASS", "testpass") monkeypatch.setenv("AUTHNZERVER_USERLOCKTRIES", "2") monkeypatch.setenv("AUTHNZERVER_USERLOCKTIME", "20") monkeypatch.setenv( "AUTHNZERVER_RATELIMITS", "ipaddr:300;user:360;session:120;apikey:720;burst:150;" "user-new:50;user-login:50" ) # launch the server subprocess p = subprocess.Popen("authnzrv", shell=True) # wait 2.5 seconds for the server to start time.sleep(2.5) timing = [] try: # # attempt to login as the superuser several times with the wrong # password # for i in range(4): # create a new anonymous session token session_payload = { 'user_id':2, 'user_agent':'Mozzarella Killerwhale', 'expires':datetime.utcnow()+timedelta(hours=1), 'ip_address': '1.1.1.1', 'extra_info_json':{'pref_datasets_always_private':True} } request_dict = { 'request':'session-new', 'body':session_payload, 'reqid':i, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=1.0 ) resp.raise_for_status() # decrypt the response session_dict = decrypt_message(resp.text, secret) assert session_dict['reqid'] == request_dict['reqid'] assert session_dict['success'] is True assert isinstance(session_dict['response'], dict) assert session_dict['response']['session_token'] is not None request_dict = { 'request':'user-login', 'body':{ 'session_token':session_dict['response']['session_token'], 'email':useremail, 'password':'%s-%i' % (password,i) }, 'reqid':10*i + 10, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) start_login_time = time.monotonic() # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=60.0 ) resp.raise_for_status() timing.append(time.monotonic() - start_login_time) # decrypt the response response_dict = decrypt_message(resp.text, secret) assert response_dict['reqid'] == request_dict['reqid'] assert response_dict['success'] is False assert isinstance(response_dict['response'], dict) assert response_dict['response']['user_id'] is None # for the last attempt, we should get back a "locked" account # message if i >= 2: assert ( "Your user account has been locked " "after repeated login failures. " "Try again in an hour or " "contact the server admins." ) in response_dict['messages'] # wait 30 seconds for the lock time to expire time.sleep(30) # now login wih the correct password and see if we can login now session_payload = { 'user_id':2, 'user_agent':'Mozzarella Killerwhale', 'expires':datetime.utcnow()+timedelta(hours=1), 'ip_address': '1.1.1.1', 'extra_info_json':{'pref_datasets_always_private':True} } request_dict = { 'request':'session-new', 'body':session_payload, 'reqid':1004, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=1.0 ) resp.raise_for_status() # decrypt the response session_dict = decrypt_message(resp.text, secret) assert session_dict['reqid'] == request_dict['reqid'] assert session_dict['success'] is True assert isinstance(session_dict['response'], dict) assert session_dict['response']['session_token'] is not None request_dict = { 'request':'user-login', 'body':{ 'session_token':session_dict['response']['session_token'], 'email':useremail, 'password':password }, 'reqid':1005, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) start_login_time = time.monotonic() # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=60.0 ) resp.raise_for_status() timing.append(time.monotonic() - start_login_time) # decrypt the response response_dict = decrypt_message(resp.text, secret) assert response_dict['reqid'] == request_dict['reqid'] assert response_dict['success'] is True assert isinstance(response_dict['response'], dict) assert response_dict['response']['user_id'] == 1 assert response_dict['response']['user_role'] == 'superuser' finally: # # kill the server at the end # p.terminate() try: p.communicate(timeout=3.0) p.kill() except Exception: pass # make sure to kill authnzrv on some Linux machines. use lsof and the # port number to find the remaining authnzrv processes and kill them # subprocess.call( # "lsof | grep 18158 | awk '{ print $2 }' | sort | uniq | xargs kill -2", # shell=True # ) @mark.skipif( os.environ.get("GITHUB_WORKFLOW", None) is not None, reason="github doesn't allow server tests probably" ) def test_server_invalid_passchecks_with_lock(monkeypatch, tmpdir): '''This tests if the server responds appropriately to invalid password checks. The timing difference between successive failed password checks should increase roughly exponentially. In addition, the user should be locked out of their account for the configured amount of time and unlocked thereafter. ''' # the basedir will be the pytest provided temporary directory basedir = str(tmpdir) # we'll make the auth DB and secrets file first authdb_path, creds, secrets_file, salt_file, env_file = ( autogen_secrets_authdb( basedir, interactive=False ) ) # read in the secrets file for the secret with open(secrets_file,'r') as infd: secret = infd.read().strip('\n') # read in the salts file for the salt with open(salt_file,'r') as infd: salt = infd.read().strip('\n') # read the creds file so we can try logging in with open(creds,'r') as infd: useremail, password = infd.read().strip('\n').split() # get a temp directory tmpdir = os.path.join('/tmp', 'authnzrv-%s' % secrets.token_urlsafe(8)) server_listen = '127.0.0.1' server_port = '18158' # set up the environment monkeypatch.setenv("AUTHNZERVER_AUTHDB", authdb_path) monkeypatch.setenv("AUTHNZERVER_BASEDIR", basedir) monkeypatch.setenv("AUTHNZERVER_CACHEDIR", tmpdir) monkeypatch.setenv("AUTHNZERVER_DEBUGMODE", "0") monkeypatch.setenv("AUTHNZERVER_LISTEN", server_listen) monkeypatch.setenv("AUTHNZERVER_PORT", server_port) monkeypatch.setenv("AUTHNZERVER_SECRET", secret) monkeypatch.setenv("AUTHNZERVER_PIISALT", salt) monkeypatch.setenv("AUTHNZERVER_SESSIONEXPIRY", "60") monkeypatch.setenv("AUTHNZERVER_WORKERS", "1") monkeypatch.setenv("AUTHNZERVER_EMAILSERVER", "smtp.test.org") monkeypatch.setenv("AUTHNZERVER_EMAILPORT", "25") monkeypatch.setenv("AUTHNZERVER_EMAILUSER", "testuser") monkeypatch.setenv("AUTHNZERVER_EMAILPASS", "testpass") monkeypatch.setenv("AUTHNZERVER_USERLOCKTRIES", "2") monkeypatch.setenv("AUTHNZERVER_USERLOCKTIME", "20") monkeypatch.setenv( "AUTHNZERVER_RATELIMITS", "ipaddr:300;user:360;session:120;apikey:720;burst:150;" "user-new:50;user-login:50" ) # launch the server subprocess p = subprocess.Popen("authnzrv", shell=True) # wait 2.5 seconds for the server to start time.sleep(2.5) timing = [] try: # # attempt to login as the superuser several times with the wrong # password # for i in range(4): # create a new anonymous session token session_payload = { 'user_id':2, 'user_agent':'Mozzarella Killerwhale', 'expires':datetime.utcnow()+timedelta(hours=1), 'ip_address': '1.1.1.1', 'extra_info_json':{'pref_datasets_always_private':True} } request_dict = { 'request':'session-new', 'body':session_payload, 'reqid':i, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=1.0 ) resp.raise_for_status() # decrypt the response session_dict = decrypt_message(resp.text, secret) assert session_dict['reqid'] == request_dict['reqid'] assert session_dict['success'] is True assert isinstance(session_dict['response'], dict) assert session_dict['response']['session_token'] is not None request_dict = { 'request':'user-passcheck-nosession', 'body':{ 'email':useremail, 'password':'%s-%i' % (password,i) }, 'reqid':10*i + 10, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) start_login_time = time.monotonic() # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=60.0 ) resp.raise_for_status() timing.append(time.monotonic() - start_login_time) # decrypt the response response_dict = decrypt_message(resp.text, secret) assert response_dict['reqid'] == request_dict['reqid'] assert response_dict['success'] is False assert isinstance(response_dict['response'], dict) assert response_dict['response']['user_id'] is None # for the last attempt, we should get back a "locked" account # message if i >= 2: assert ( "Your user account has been locked " "after repeated login failures. " "Try again in an hour or " "contact the server admins." ) in response_dict['messages'] # wait 30 seconds for the lock time to expire time.sleep(30) # now login wih the correct password and see if we can login now session_payload = { 'user_id':2, 'user_agent':'Mozzarella Killerwhale', 'expires':datetime.utcnow()+timedelta(hours=1), 'ip_address': '1.1.1.1', 'extra_info_json':{'pref_datasets_always_private':True} } request_dict = { 'request':'session-new', 'body':session_payload, 'reqid':1004, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=1.0 ) resp.raise_for_status() # decrypt the response session_dict = decrypt_message(resp.text, secret) assert session_dict['reqid'] == request_dict['reqid'] assert session_dict['success'] is True assert isinstance(session_dict['response'], dict) assert session_dict['response']['session_token'] is not None request_dict = { 'request':'user-passcheck-nosession', 'body':{ 'email':useremail, 'password':password }, 'reqid':1005, 'client_ipaddr': '1.2.3.4' } encrypted_request = encrypt_message(request_dict, secret) start_login_time = time.monotonic() # send the request to the authnzerver resp = requests.post( 'http://%s:%s' % (server_listen, server_port), data=encrypted_request, timeout=60.0 ) resp.raise_for_status() timing.append(time.monotonic() - start_login_time) # decrypt the response response_dict = decrypt_message(resp.text, secret) assert response_dict['reqid'] == request_dict['reqid'] assert response_dict['success'] is True assert isinstance(response_dict['response'], dict) assert response_dict['response']['user_id'] == 1 assert response_dict['response']['user_role'] == 'superuser' finally: # # kill the server at the end # p.terminate() try: p.communicate(timeout=3.0) p.kill() except Exception: pass # make sure to kill authnzrv on some Linux machines. use lsof and the # port number to find the remaining authnzrv processes and kill them # subprocess.call( # "lsof | grep 18158 | awk '{ print $2 }' | sort | uniq | xargs kill -2", # shell=True # )

33.016234

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0.591504

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30,507

5.153145

0.092887

0.062061

0.102219

0.01118

0.954481

0.952655

0.949062

0.945753

0.9433

0.937824

0

0.019342

0.301767

30,507

923

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33.052004

0.803671

0.172977

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0.862069

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false

0.037931

0.015517

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0.022414

0

null

0

1

0

1

0

null

0

7

de7850ca776dfcd293ff8f951bb81ff4d98e10e9

49

py

Python

Cisco/2.1.2.12.py

martageraldo/aula-python-cisco

6f4061c4200bb611f90a4231e1646ae8a0066e99

[ "MIT" ]

null

Cisco/2.1.2.12.py

martageraldo/aula-python-cisco

6f4061c4200bb611f90a4231e1646ae8a0066e99

[ "MIT" ]

null

Cisco/2.1.2.12.py

martageraldo/aula-python-cisco

6f4061c4200bb611f90a4231e1646ae8a0066e99

[ "MIT" ]

null

print(2+2) print(4-4) print(8*2) print(10/2)

9.8

12

0.591837

12

49

2.416667

0.416667

0.413793

0

0.219512

0.163265

49

4

13

12.25

0.487805

0

1

0

true

0

1

0

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

8

deab496993cc870cfd7dba13050bf29640868a58

256

py

Python

artemis/fileman/experiment_record.py

peteroconnor-bc/artemis

ad2871fae7d986bf10580eec27aee5b7315adad5

[ "BSD-2-Clause-FreeBSD" ]

235

2016-08-26T14:18:51.000Z

2022-03-13T10:54:39.000Z

artemis/fileman/experiment_record.py

peteroconnor-bc/artemis

ad2871fae7d986bf10580eec27aee5b7315adad5

[ "BSD-2-Clause-FreeBSD" ]

112

2016-04-30T11:48:38.000Z

2021-01-12T20:17:32.000Z

artemis/fileman/experiment_record.py

peteroconnor-bc/artemis

ad2871fae7d986bf10580eec27aee5b7315adad5

[ "BSD-2-Clause-FreeBSD" ]

31

2016-11-05T19:09:19.000Z

2021-09-13T07:35:40.000Z

from artemis.experiments.experiment_record import * import logging logging.getLogger(__name__).warning('The module artemis.fileman.experiment_record is deprecated and will eventually be removed. Import artemis.experiments.experiment_record instead.')

32

184

0.839844

31

256

6.709677

0.677419

0.230769

0.269231

0.326923

0

0.09375

256

7

185

36.571429

0.896552

0

0.333333

0.570866

0.275591

0

1

0

true

0

1

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1

0

null

1

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1

0

1

0

null

0

1

0

1

0

1

0

8

dedaade4cbca70764fda5e310e7558e5ef1fdaa9

126

py

Python

backend/app/app/api/utils/db.py

GadyTal/Dor2Door

85fdac54f2088d965edf269ff49064831bf0f1fb

[ "MIT" ]

1

2020-11-02T07:56:08.000Z

backend/app/app/api/utils/db.py

GadyTal/Dor2Door

85fdac54f2088d965edf269ff49064831bf0f1fb

[ "MIT" ]

null

backend/app/app/api/utils/db.py

GadyTal/Dor2Door

85fdac54f2088d965edf269ff49064831bf0f1fb

[ "MIT" ]

1

2021-08-23T22:49:47.000Z

from starlette.requests import Request # TODO: Check this version def get_db(request: Request): return request.state.db

18

38

0.769841

18

126

5.333333

0.777778

0

0.15873

126

6

39

21

0.90566

0.190476

0

0.166667

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

7

deded1e54e33c26b508ecbe7fbece132cf27861e

3,458

py

Python

ocrb/op3/exp_variants/variants.py

ecker-lab/object-centric-representation-benchmark

2bcfc491d49ff9badc099af20b67c43eea2666d8

[ "MIT" ]

25

2020-08-07T10:35:11.000Z

2021-11-02T19:10:28.000Z

ocrb/op3/exp_variants/variants.py

ecker-lab/object-centric-representation-benchmark

2bcfc491d49ff9badc099af20b67c43eea2666d8

[ "MIT" ]

1

2021-03-01T10:45:01.000Z

2021-03-01T11:12:17.000Z

ocrb/op3/exp_variants/variants.py

ecker-lab/object-centric-representation-benchmark

2bcfc491d49ff9badc099af20b67c43eea2666d8

[ "MIT" ]

2

2020-08-07T10:35:17.000Z

2020-12-20T07:51:19.000Z

object_room_variant = dict( op3_args=dict( refinement_model_type="size_dependent_conv", # size_dependent_conv, size_dependent_conv_no_share decoder_model_type="reg", # reg, reg_no_share dynamics_model_type="reg_ac32", # reg_ac32, reg_ac32_no_share sto_repsize=64, det_repsize=64, extra_args=dict( beta=1e-2, deterministic_sampling=False ), K=8 ), schedule_args=dict( # Arguments for TrainingScheduler seed_steps=4, T=5, # Max number of steps into the future we want to go or max length of a schedule schedule_type='rprp', # single_step_physics, curriculum, static_iodine, rprp, next_step, random_alternating loss_type='iodine_dynamics', r_steps=2, ), training_args=dict( # Arguments for OP3Trainer batch_size=16, # Change to appropriate constant based off dataset size lr=3e-4, ), num_epochs=300, save_period=5, dataparallel=True, path='ocrb/data/datasets', ckpt_dir='ocrb/op3/ckpts', num_workers=1, n_steps=10, debug=False, split=True ) mot_sprite_variant = dict( op3_args=dict( refinement_model_type="size_dependent_conv", # size_dependent_conv, size_dependent_conv_no_share decoder_model_type="reg", # reg, reg_no_share dynamics_model_type="reg_ac32", # reg_ac32, reg_ac32_no_share sto_repsize=64, det_repsize=64, extra_args=dict( beta=1e-2, deterministic_sampling=False ), K=5 ), schedule_args=dict( # Arguments for TrainingScheduler seed_steps=4, T=5, # Max number of steps into the future we want to go or max length of a schedule schedule_type='rprp', # single_step_physics, curriculum, static_iodine, rprp, next_step, random_alternating loss_type='iodine_dynamics', r_steps=2, ), training_args=dict( # Arguments for OP3Trainer batch_size=16, # Change to appropriate constant based off dataset size lr=1e-4 ), num_epochs=300, save_period=5, dataparallel=True, path='ocrb/data/datasets', ckpt_dir='ocrb/op3/ckpts', num_workers=1, n_steps=10, debug=False, split=True ) multidsprites_videos_variant = dict( op3_args=dict( refinement_model_type="size_dependent_conv", # size_dependent_conv, size_dependent_conv_no_share decoder_model_type="reg", # reg, reg_no_share dynamics_model_type="reg_ac32", # reg_ac32, reg_ac32_no_share sto_repsize=64, det_repsize=64, extra_args=dict( beta=1e-2, deterministic_sampling=False ), K=6 ), schedule_args=dict( # Arguments for TrainingScheduler seed_steps=4, T=5, # Max number of steps into the future we want to go or max length of a schedule schedule_type='rprp', # single_step_physics, curriculum, static_iodine, rprp, next_step, random_alternating loss_type='iodine_dynamics', r_steps=2, ), training_args=dict( # Arguments for OP3Trainer batch_size=16, # Change to appropriate constant based off dataset size lr=3e-4, ), num_epochs=300, save_period=5, dataparallel=True, path='ocrb/data/datasets', ckpt_dir='ocrb/op3/ckpts', num_workers=1, n_steps=10, debug=False, split=True )

33.25

116

0.653846

459

3,458

4.625272

0.222222

0.045219

0.072068

0.05935

0.979746

0

0.035156

0.259688

3,458

104

117

33.25

0.794141

0.319838

0

0.901961

0

0.104381

0

1

0

false

0

null

0

1

0

1

0

null

0

7

def107bfa8142532d7551f0fa0482a750848d383

227

py

Python

src/movement/no.py

Quanta-Robotics/Robot-Blueberry

7b7e77e09ac5e9ec5afd947e0db1ecc8773e56da

[ "MIT" ]

25

2021-06-08T07:09:30.000Z

2021-12-30T06:28:35.000Z

src/movement/no.py

ICT-CoU/Robot-Blueberry

d19fd1be037df9d67de64df57a87006d74cd6c43

[ "MIT" ]

2

2021-05-23T12:54:51.000Z

2021-06-07T17:47:56.000Z

src/movement/no.py

ICT-CoU/Robot-Blueberry

d19fd1be037df9d67de64df57a87006d74cd6c43

[ "MIT" ]

14

2021-06-08T13:02:28.000Z

2021-12-30T20:07:18.000Z

from expression import * changeDegreeGpio([0],[0],5,0.03) time.sleep(0.5) changeDegreeGpio([0],[90],5,0.03) time.sleep(0.5) changeDegreeGpio([0],[180],5,0.03) time.sleep(0.5) changeDegreeGpio([0],[90],5,0.03) time.sleep(0.5)

18.916667

34

0.687225

43

227

3.627907

0.255814

0.064103

0.102564

0.205128

0.737179

0.628205

0

0.169014

0.061674

227

11

35

20.636364

0.56338

0

0.666667

0

1

0

true

0

0.111111

0

0.111111

0

null

0

1

0

1

0

null

0

1

0

7

720a749ae109791d4b6c2a3eae8e257fa7d6d91f

115

py

Python

ctf_uk_flag.py

sebabeva/ctf-despegar-2017

738776d3bab952a6ec4a3443fd5b3319005aaea3

[ "MIT" ]

null

ctf_uk_flag.py

sebabeva/ctf-despegar-2017

738776d3bab952a6ec4a3443fd5b3319005aaea3

[ "MIT" ]

null

ctf_uk_flag.py

sebabeva/ctf-despegar-2017

738776d3bab952a6ec4a3443fd5b3319005aaea3

[ "MIT" ]

null

#!/usr/bin/python print '%x\n' % (0x30167b0eb4eef511ec82272b4b47a2d71471 ^ 0x1319057cb23c1dcbf616876372617fff8b48)

38.333333

96

0.826087

8

115

11.875

1

0

0.472222

0.06087

115

3

96

38.333333

0.407407

0.13913

0

0.040404

0

0.767677

0

null

0

null

1

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

a0fc2921ca92c4b88cca3d26e890d14254978367

23,276

py

Python

libica/openapi/libtes/api/tasks_api.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

null

libica/openapi/libtes/api/tasks_api.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

4

2021-11-15T10:47:51.000Z

2022-02-22T04:43:20.000Z

libica/openapi/libtes/api/tasks_api.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

null

# coding: utf-8 """ Task Execution Service No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v1 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 libica.openapi.libtes.api_client import ApiClient from libica.openapi.libtes.exceptions import ( # noqa: F401 ApiTypeError, ApiValueError ) class TasksApi(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 create_task(self, **kwargs): # noqa: E501 """Create a Task # noqa: E501 Creates a task. Returns the ID associated with the new task. Also returns the task version ID associated with the new task, if provided. Substitutions can be defined in the following format: \"{{string}}\", and specified at launch time. # 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_task(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param CreateTaskRequest body: :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: Task If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_task_with_http_info(**kwargs) # noqa: E501 def create_task_with_http_info(self, **kwargs): # noqa: E501 """Create a Task # noqa: E501 Creates a task. Returns the ID associated with the new task. Also returns the task version ID associated with the new task, if provided. Substitutions can be defined in the following format: \"{{string}}\", and specified at launch time. # 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_task_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param CreateTaskRequest body: :param _return_http_data_only: response data without head status code and headers :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: tuple(Task, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'body' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) 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 create_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] # 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-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/tasks', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Task', # 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_task(self, task_id, **kwargs): # noqa: E501 """Get the details of a Task # noqa: E501 Gets the details of a Task for a given task 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.get_task(task_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str task_id: (required) :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: TaskSummary If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_task_with_http_info(task_id, **kwargs) # noqa: E501 def get_task_with_http_info(self, task_id, **kwargs): # noqa: E501 """Get the details of a Task # noqa: E501 Gets the details of a Task for a given task 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.get_task_with_http_info(task_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str task_id: (required) :param _return_http_data_only: response data without head status code and headers :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: tuple(TaskSummary, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'task_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) 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 get_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'task_id' is set if self.api_client.client_side_validation and ('task_id' not in local_var_params or # noqa: E501 local_var_params['task_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `task_id` when calling `get_task`") # noqa: E501 collection_formats = {} path_params = {} if 'task_id' in local_var_params: path_params['taskId'] = local_var_params['task_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( '/v1/tasks/{taskId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskSummary', # 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 list_tasks(self, **kwargs): # noqa: E501 """Get a list of tasks # noqa: E501 Gets a list of tasks accessible by the current tenant 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.list_tasks(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str names: Name: Optional parameter to filter the returned list. Case-Sensitive :param str acls: Name: Optional parameter to filter the returned list. Case-Sensitive :param int page_size: Optional parameter to define the page size returned. Valid inputs range from 1-1000. :param str sort: Sort: Optional parameter to set the sort of the returned list. Valid fields include: name, timeCreated, timeModified. The sort can be specified as asc or desc. (Default: asc.) :param str page_token: pageToken: Optional parameter for navigation after initial listing. Valid values include firstPageToken, nextPageToken, and previousPageToken (provided in the list response) :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: TaskSummaryPagedItems If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.list_tasks_with_http_info(**kwargs) # noqa: E501 def list_tasks_with_http_info(self, **kwargs): # noqa: E501 """Get a list of tasks # noqa: E501 Gets a list of tasks accessible by the current tenant 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.list_tasks_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str names: Name: Optional parameter to filter the returned list. Case-Sensitive :param str acls: Name: Optional parameter to filter the returned list. Case-Sensitive :param int page_size: Optional parameter to define the page size returned. Valid inputs range from 1-1000. :param str sort: Sort: Optional parameter to set the sort of the returned list. Valid fields include: name, timeCreated, timeModified. The sort can be specified as asc or desc. (Default: asc.) :param str page_token: pageToken: Optional parameter for navigation after initial listing. Valid values include firstPageToken, nextPageToken, and previousPageToken (provided in the list response) :param _return_http_data_only: response data without head status code and headers :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: tuple(TaskSummaryPagedItems, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'names', 'acls', 'page_size', 'sort', 'page_token' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) 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 list_tasks" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'names' in local_var_params and local_var_params['names'] is not None: # noqa: E501 query_params.append(('names', local_var_params['names'])) # noqa: E501 if 'acls' in local_var_params and local_var_params['acls'] is not None: # noqa: E501 query_params.append(('acls', local_var_params['acls'])) # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501 query_params.append(('pageSize', local_var_params['page_size'])) # noqa: E501 if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501 query_params.append(('sort', local_var_params['sort'])) # noqa: E501 if 'page_token' in local_var_params and local_var_params['page_token'] is not None: # noqa: E501 query_params.append(('pageToken', local_var_params['page_token'])) # 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( '/v1/tasks', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskSummaryPagedItems', # 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 update_task(self, task_id, **kwargs): # noqa: E501 """Update an existing task. # noqa: E501 Updates the task with a given ID. The task's name, description can be updated. The task's name must remain unique. # 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_task(task_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str task_id: (required) :param UpdateTaskRequest body: Details of the task to be updated. :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: Task If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_task_with_http_info(task_id, **kwargs) # noqa: E501 def update_task_with_http_info(self, task_id, **kwargs): # noqa: E501 """Update an existing task. # noqa: E501 Updates the task with a given ID. The task's name, description can be updated. The task's name must remain unique. # 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_task_with_http_info(task_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str task_id: (required) :param UpdateTaskRequest body: Details of the task to be updated. :param _return_http_data_only: response data without head status code and headers :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: tuple(Task, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'task_id', 'body' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) 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 update_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'task_id' is set if self.api_client.client_side_validation and ('task_id' not in local_var_params or # noqa: E501 local_var_params['task_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `task_id` when calling `update_task`") # noqa: E501 collection_formats = {} path_params = {} if 'task_id' in local_var_params: path_params['taskId'] = local_var_params['task_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] # 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-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/tasks/{taskId}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Task', # 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)

44.847784

258

0.597482

2,677

23,276

4.97684

0.091147

0.040231

0.061998

0.027021

0.926218

0.918637

0.911206

0.891016

0.885461

0

0.014892

0.327805

23,276

518

259

44.934363

0.836636

0.490548

0

0.694215

1

0

0.159569

0.032587

0

1

0.03719

false

0

0.020661

0

0.095041

0

null

0

1

0

1

0

null

0

7

9d008f722b3929c682f280943d078ad5808b5794

369

py

Python

core/algos/__init__.py

firehose-dataset/congrad

20792f43aa89beae75454e30b82b2e1280ed3106

[ "MIT" ]

9

2020-07-21T14:37:22.000Z

2021-07-14T12:44:13.000Z

core/algos/__init__.py

firehose-dataset/congrad

20792f43aa89beae75454e30b82b2e1280ed3106

[ "MIT" ]

2

2020-09-22T18:05:03.000Z

2020-11-19T09:42:21.000Z

core/algos/__init__.py

firehose-dataset/congrad

20792f43aa89beae75454e30b82b2e1280ed3106

[ "MIT" ]

2

2020-07-21T16:39:12.000Z

2020-07-30T02:20:47.000Z

from core.algos.agem import AGEM from core.algos.online import OnlineOnly from core.algos.replay import ReplayOnly from core.algos.mr import MixedReplay from core.algos.congrad_agem import ConGraD_AGEM from core.algos.congrad_online import ConGraD_OnlineOnly from core.algos.congrad_replay import ConGraD_ReplayOnly from core.algos.congrad_mr import ConGraD_MixedReplay

46.125

56

0.872629

56

369

5.607143

0.214286

0.203822

0.33121

0.254777

0

0.084011

369

8

57

46.125

0.928994

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

9d2355a68c919788cae3ae9ed090f9fbe86907d3

4,671

py

Python

day2.py

JustinSGray/AoC2017

8b0d18ce77e4ec0b9ab859bcfb457b386b617c37

[ "Apache-2.0" ]

null

day2.py

JustinSGray/AoC2017

8b0d18ce77e4ec0b9ab859bcfb457b386b617c37

[ "Apache-2.0" ]

null

day2.py

JustinSGray/AoC2017

8b0d18ce77e4ec0b9ab859bcfb457b386b617c37

[ "Apache-2.0" ]

null

def _prep_input(input): return [row.split() for row in input.split("\n")] def checksum(input): data = _prep_input(input) checks = [] for row in data: i_row = [int(s) for s in row] big = max(i_row) little = min(i_row) checks.append(big - little) return checks, sum(checks) def mod_checksum(input): data = _prep_input(input) checks = [] for row in data: l_row = len(row) i_row = [int(s) for s in row] for i in range(l_row): found = False for j in range(i+1, l_row): # print(i,j, row[i], row[j]) if (i_row[i] % i_row[j] == 0): checks.append(i_row[i]//i_row[j]) found = True break elif (i_row[j] % i_row[i] == 0): checks.append(i_row[j]//i_row[i]) found = True break if found: break return checks, sum(checks) if __name__ == "__main__": ########### # Part 1 ########### test_input = """5 1 9 5 7 5 3 2 4 6 8""" e_vals = [8,4,6] checks, sum_checks = checksum(test_input) print('part 1 test', e_vals, checks) print(' ', 18, sum_checks) real_input = """5806 6444 1281 38 267 1835 223 4912 5995 230 4395 2986 6048 4719 216 1201 74 127 226 84 174 280 94 159 198 305 124 106 205 99 177 294 1332 52 54 655 56 170 843 707 1273 1163 89 23 43 1300 1383 1229 5653 236 1944 3807 5356 246 222 1999 4872 206 5265 5397 5220 5538 286 917 3512 3132 2826 3664 2814 549 3408 3384 142 120 160 114 1395 2074 1816 2357 100 2000 112 103 2122 113 92 522 1650 929 1281 2286 2259 1068 1089 651 646 490 297 60 424 234 48 491 245 523 229 189 174 627 441 598 2321 555 2413 2378 157 27 194 2512 117 140 2287 277 2635 1374 1496 1698 101 1177 104 89 542 2033 1724 1197 474 1041 1803 770 87 1869 1183 553 1393 92 105 1395 1000 85 391 1360 1529 1367 1063 688 642 102 999 638 4627 223 188 5529 2406 4980 2384 2024 4610 279 249 2331 4660 4350 3264 242 769 779 502 75 1105 53 55 931 1056 1195 65 292 1234 1164 678 1032 2554 75 4406 484 2285 226 5666 245 4972 3739 5185 1543 230 236 3621 5387 826 4028 4274 163 5303 4610 145 5779 157 4994 5053 186 5060 3082 2186 4882 588 345 67 286 743 54 802 776 29 44 107 63 303 372 41 810 128 2088 3422 111 3312 740 3024 1946 920 131 112 477 3386 2392 1108 2741""" print('part 1 real answer', checksum(real_input)) ########### # Part 1 ########### test_input = """5 9 2 8 9 4 7 3 3 8 6 5""" e_vals = [4, 3, 2] checks, sum_checks = mod_checksum(test_input) print('part 2 test', e_vals, checks) print(' ', 9, sum_checks) real_input = """5806 6444 1281 38 267 1835 223 4912 5995 230 4395 2986 6048 4719 216 1201 74 127 226 84 174 280 94 159 198 305 124 106 205 99 177 294 1332 52 54 655 56 170 843 707 1273 1163 89 23 43 1300 1383 1229 5653 236 1944 3807 5356 246 222 1999 4872 206 5265 5397 5220 5538 286 917 3512 3132 2826 3664 2814 549 3408 3384 142 120 160 114 1395 2074 1816 2357 100 2000 112 103 2122 113 92 522 1650 929 1281 2286 2259 1068 1089 651 646 490 297 60 424 234 48 491 245 523 229 189 174 627 441 598 2321 555 2413 2378 157 27 194 2512 117 140 2287 277 2635 1374 1496 1698 101 1177 104 89 542 2033 1724 1197 474 1041 1803 770 87 1869 1183 553 1393 92 105 1395 1000 85 391 1360 1529 1367 1063 688 642 102 999 638 4627 223 188 5529 2406 4980 2384 2024 4610 279 249 2331 4660 4350 3264 242 769 779 502 75 1105 53 55 931 1056 1195 65 292 1234 1164 678 1032 2554 75 4406 484 2285 226 5666 245 4972 3739 5185 1543 230 236 3621 5387 826 4028 4274 163 5303 4610 145 5779 157 4994 5053 186 5060 3082 2186 4882 588 345 67 286 743 54 802 776 29 44 107 63 303 372 41 810 128 2088 3422 111 3312 740 3024 1946 920 131 112 477 3386 2392 1108 2741""" print('part 2 real answer', mod_checksum(real_input))

42.463636

124

0.542496

754

4,671

3.297082

0.387268

0.020917

0.010056

0.016895

0.838294

0.778761

0.762671

0.748994

0

0.627149

0.402269

4,671

109

125

42.853211

0.263252

0.008563

0

0.5875

0

0.669577

0

1

0.0375

false

0

0.0125

0.075

0

null

0

1

0

1

0

1

0

1

0

null

0

9

19c92291756d9cfc39e8bc77efedcb69a48dd73b

239,799

py

Python

jamf/api/mobile_device_prestages_api.py

jensenbox/python-jamf

85213085b1064a00375a7aa7df5e33c19f5178eb

[ "RSA-MD" ]

1

2021-04-20T15:28:57.000Z

jamf/api/mobile_device_prestages_api.py

jensenbox/python-jamf

85213085b1064a00375a7aa7df5e33c19f5178eb

[ "RSA-MD" ]

null

jamf/api/mobile_device_prestages_api.py

jensenbox/python-jamf

85213085b1064a00375a7aa7df5e33c19f5178eb

[ "RSA-MD" ]

null

# coding: utf-8 """ Jamf Pro API ## Overview This is a sample Jamf Pro server which allows for usage without any authentication. The Jamf Pro environment which supports the Try it Out functionality does not run the current beta version of Jamf Pro, thus any newly added endpoints will result in an error and should be used soley for documentation purposes. # noqa: E501 The version of the OpenAPI document: 10.25.0 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 jamf.api_client import ApiClient from jamf.exceptions import ( # noqa: F401 ApiTypeError, ApiValueError ) class MobileDevicePrestagesApi(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 v1_mobile_device_prestages_get(self, **kwargs): # noqa: E501 """Search for sorted and paged Mobile Device Prestages # noqa: E501 Search for sorted and paged mobile device prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_get(async_req=True) >>> result = thread.get() :param page: :type page: int :param size: :type size: int :param pagesize: :type pagesize: int :param page_size: :type page_size: int :param sort: Sorting criteria in the format: property:asc/desc. Multiple sort criteria are supported and must be separated with a comma. Example: sort=date:desc,name:asc :type sort: 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: MobileDevicePrestageSearchResults """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_get_with_http_info(**kwargs) # noqa: E501 def v1_mobile_device_prestages_get_with_http_info(self, **kwargs): # noqa: E501 """Search for sorted and paged Mobile Device Prestages # noqa: E501 Search for sorted and paged mobile device prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_get_with_http_info(async_req=True) >>> result = thread.get() :param page: :type page: int :param size: :type size: int :param pagesize: :type pagesize: int :param page_size: :type page_size: int :param sort: Sorting criteria in the format: property:asc/desc. Multiple sort criteria are supported and must be separated with a comma. Example: sort=date:desc,name:asc :type sort: 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(MobileDevicePrestageSearchResults, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'page', 'size', 'pagesize', 'page_size', 'sort' ] 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 v1_mobile_device_prestages_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'page' in local_var_params and local_var_params['page'] is not None: # noqa: E501 query_params.append(('page', local_var_params['page'])) # noqa: E501 if 'size' in local_var_params and local_var_params['size'] is not None: # noqa: E501 query_params.append(('size', local_var_params['size'])) # noqa: E501 if 'pagesize' in local_var_params and local_var_params['pagesize'] is not None: # noqa: E501 query_params.append(('pagesize', local_var_params['pagesize'])) # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501 query_params.append(('page-size', local_var_params['page_size'])) # noqa: E501 if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501 query_params.append(('sort', local_var_params['sort'])) # 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 = [] # noqa: E501 response_types_map = { 200: "MobileDevicePrestageSearchResults", } return self.api_client.call_api( '/v1/mobile-device-prestages', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_attachments_delete(self, id, file_attachment_delete, **kwargs): # noqa: E501 """Remove an attachment for a Mobile Device Prestage # noqa: E501 Remove an attachment for a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_attachments_delete(id, file_attachment_delete, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param file_attachment_delete: (required) :type file_attachment_delete: FileAttachmentDelete :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.v1_mobile_device_prestages_id_attachments_delete_with_http_info(id, file_attachment_delete, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_attachments_delete_with_http_info(self, id, file_attachment_delete, **kwargs): # noqa: E501 """Remove an attachment for a Mobile Device Prestage # noqa: E501 Remove an attachment for a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_attachments_delete_with_http_info(id, file_attachment_delete, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param file_attachment_delete: (required) :type file_attachment_delete: FileAttachmentDelete :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', 'file_attachment_delete' ] 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 v1_mobile_device_prestages_id_attachments_delete" % 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 `v1_mobile_device_prestages_id_attachments_delete`") # noqa: E501 # verify the required parameter 'file_attachment_delete' is set if self.api_client.client_side_validation and ('file_attachment_delete' not in local_var_params or # noqa: E501 local_var_params['file_attachment_delete'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `file_attachment_delete` when calling `v1_mobile_device_prestages_id_attachments_delete`") # 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 'file_attachment_delete' in local_var_params: body_params = local_var_params['file_attachment_delete'] # 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 = [] # noqa: E501 response_types_map = {} return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/attachments', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_attachments_get(self, id, **kwargs): # noqa: E501 """Get attachments for a Mobile Device Prestage # noqa: E501 Get attachments for a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_attachments_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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: list[FileAttachment] """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_attachments_get_with_http_info(id, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_attachments_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get attachments for a Mobile Device Prestage # noqa: E501 Get attachments for a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_attachments_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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(list[FileAttachment], 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 v1_mobile_device_prestages_id_attachments_get" % 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 `v1_mobile_device_prestages_id_attachments_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "list[FileAttachment]", 404: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/attachments', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_attachments_post(self, id, file, **kwargs): # noqa: E501 """Add an attachment to a Mobile Device Prestage # noqa: E501 Add an attachment to a Mobile Device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_attachments_post(id, file, async_req=True) >>> result = thread.get() :param id: Identifier of the Mobile Device Prestage the attachment should be assigned to (required) :type id: int :param file: The file to upload (required) :type file: file :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: PrestageFileAttachment """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_attachments_post_with_http_info(id, file, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_attachments_post_with_http_info(self, id, file, **kwargs): # noqa: E501 """Add an attachment to a Mobile Device Prestage # noqa: E501 Add an attachment to a Mobile Device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_attachments_post_with_http_info(id, file, async_req=True) >>> result = thread.get() :param id: Identifier of the Mobile Device Prestage the attachment should be assigned to (required) :type id: int :param file: The file to upload (required) :type file: file :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(PrestageFileAttachment, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'file' ] 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 v1_mobile_device_prestages_id_attachments_post" % 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 `v1_mobile_device_prestages_id_attachments_post`") # noqa: E501 # verify the required parameter 'file' is set if self.api_client.client_side_validation and ('file' not in local_var_params or # noqa: E501 local_var_params['file'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `file` when calling `v1_mobile_device_prestages_id_attachments_post`") # 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 = {} if 'file' in local_var_params: local_var_files['file'] = local_var_params['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 = [] # noqa: E501 response_types_map = { 201: "PrestageFileAttachment", 404: "ApiError", 413: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/attachments', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_delete(self, id, **kwargs): # noqa: E501 """Delete a Mobile Device Prestage with the supplied id # noqa: E501 Deletes a Mobile Device Prestage with the supplied 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.v1_mobile_device_prestages_id_delete(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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: None """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_delete_with_http_info(id, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_delete_with_http_info(self, id, **kwargs): # noqa: E501 """Delete a Mobile Device Prestage with the supplied id # noqa: E501 Deletes a Mobile Device Prestage with the supplied 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.v1_mobile_device_prestages_id_delete_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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: None """ 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 v1_mobile_device_prestages_id_delete" % 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 `v1_mobile_device_prestages_id_delete`") # 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 # Authentication setting auth_settings = [] # noqa: E501 response_types_map = {} return self.api_client.call_api( '/v1/mobile-device-prestages/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_get(self, id, **kwargs): # noqa: E501 """Retrieve a Mobile Device Prestage with the supplied id # noqa: E501 Retrieves a Mobile Device Prestage with the supplied 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.v1_mobile_device_prestages_id_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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: GetMobileDevicePrestage """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_get_with_http_info(id, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_get_with_http_info(self, id, **kwargs): # noqa: E501 """Retrieve a Mobile Device Prestage with the supplied id # noqa: E501 Retrieves a Mobile Device Prestage with the supplied 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.v1_mobile_device_prestages_id_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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(GetMobileDevicePrestage, 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 v1_mobile_device_prestages_id_get" % 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 `v1_mobile_device_prestages_id_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "GetMobileDevicePrestage", 404: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_history_get(self, id, **kwargs): # noqa: E501 """Get sorted and paged Mobile Device Prestage history objects # noqa: E501 Gets sorted and paged mobile device prestage history objects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_history_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param page: :type page: int :param size: :type size: int :param pagesize: :type pagesize: int :param page_size: :type page_size: int :param sort: Sorting criteria in the format: property,asc/desc. Default sort order is descending. Multiple sort criteria are supported and must be entered on separate lines in Swagger UI. In the URI the 'sort' query param is duplicated for each sort criterion, e.g., ...&sort=name%2Casc&sort=date%2Cdesc :type sort: 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: HistorySearchResults """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_history_get_with_http_info(id, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_history_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get sorted and paged Mobile Device Prestage history objects # noqa: E501 Gets sorted and paged mobile device prestage history objects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_history_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param page: :type page: int :param size: :type size: int :param pagesize: :type pagesize: int :param page_size: :type page_size: int :param sort: Sorting criteria in the format: property,asc/desc. Default sort order is descending. Multiple sort criteria are supported and must be entered on separate lines in Swagger UI. In the URI the 'sort' query param is duplicated for each sort criterion, e.g., ...&sort=name%2Casc&sort=date%2Cdesc :type sort: 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(HistorySearchResults, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'page', 'size', 'pagesize', 'page_size', 'sort' ] 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 v1_mobile_device_prestages_id_history_get" % 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 `v1_mobile_device_prestages_id_history_get`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] if 'page' in local_var_params and local_var_params['page'] is not None: # noqa: E501 query_params.append(('page', local_var_params['page'])) # noqa: E501 if 'size' in local_var_params and local_var_params['size'] is not None: # noqa: E501 query_params.append(('size', local_var_params['size'])) # noqa: E501 if 'pagesize' in local_var_params and local_var_params['pagesize'] is not None: # noqa: E501 query_params.append(('pagesize', local_var_params['pagesize'])) # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501 query_params.append(('page-size', local_var_params['page_size'])) # noqa: E501 if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501 query_params.append(('sort', local_var_params['sort'])) # noqa: E501 collection_formats['sort'] = 'multi' # 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 = [] # noqa: E501 response_types_map = { 200: "HistorySearchResults", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/history', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_history_post(self, id, object_history_note, **kwargs): # noqa: E501 """Add Mobile Device Prestage history object notes # noqa: E501 Adds mobile device prestage history object notes # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_history_post(id, object_history_note, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param object_history_note: History notes to create (required) :type object_history_note: ObjectHistoryNote :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: ObjectHistory """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_history_post_with_http_info(id, object_history_note, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_history_post_with_http_info(self, id, object_history_note, **kwargs): # noqa: E501 """Add Mobile Device Prestage history object notes # noqa: E501 Adds mobile device prestage history object notes # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_history_post_with_http_info(id, object_history_note, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param object_history_note: History notes to create (required) :type object_history_note: ObjectHistoryNote :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(ObjectHistory, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'object_history_note' ] 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 v1_mobile_device_prestages_id_history_post" % 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 `v1_mobile_device_prestages_id_history_post`") # noqa: E501 # verify the required parameter 'object_history_note' is set if self.api_client.client_side_validation and ('object_history_note' not in local_var_params or # noqa: E501 local_var_params['object_history_note'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `object_history_note` when calling `v1_mobile_device_prestages_id_history_post`") # 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 'object_history_note' in local_var_params: body_params = local_var_params['object_history_note'] # 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 = [] # noqa: E501 response_types_map = { 201: "ObjectHistory", 503: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/history', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_put(self, id, put_mobile_device_prestage, **kwargs): # noqa: E501 """Update a Mobile Device Prestage # noqa: E501 Updates a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_put(id, put_mobile_device_prestage, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param put_mobile_device_prestage: Mobile Device Prestage to update (required) :type put_mobile_device_prestage: PutMobileDevicePrestage :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: GetMobileDevicePrestage """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_put_with_http_info(id, put_mobile_device_prestage, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_put_with_http_info(self, id, put_mobile_device_prestage, **kwargs): # noqa: E501 """Update a Mobile Device Prestage # noqa: E501 Updates a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_put_with_http_info(id, put_mobile_device_prestage, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param put_mobile_device_prestage: Mobile Device Prestage to update (required) :type put_mobile_device_prestage: PutMobileDevicePrestage :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(GetMobileDevicePrestage, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'put_mobile_device_prestage' ] 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 v1_mobile_device_prestages_id_put" % 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 `v1_mobile_device_prestages_id_put`") # noqa: E501 # verify the required parameter 'put_mobile_device_prestage' is set if self.api_client.client_side_validation and ('put_mobile_device_prestage' not in local_var_params or # noqa: E501 local_var_params['put_mobile_device_prestage'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `put_mobile_device_prestage` when calling `v1_mobile_device_prestages_id_put`") # 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 'put_mobile_device_prestage' in local_var_params: body_params = local_var_params['put_mobile_device_prestage'] # 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 = [] # noqa: E501 response_types_map = { 200: "GetMobileDevicePrestage", 404: "ApiError", 409: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_scope_delete(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Remove Device Scope for a specific Mobile Device Prestage # noqa: E501 Remove device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_scope_delete(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param prestage_scope_update: Serial Numbers to remove from scope (required) :type prestage_scope_update: PrestageScopeUpdate :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: PrestageScopeResponse """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_scope_delete_with_http_info(id, prestage_scope_update, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_scope_delete_with_http_info(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Remove Device Scope for a specific Mobile Device Prestage # noqa: E501 Remove device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_scope_delete_with_http_info(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param prestage_scope_update: Serial Numbers to remove from scope (required) :type prestage_scope_update: PrestageScopeUpdate :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(PrestageScopeResponse, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'prestage_scope_update' ] 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 v1_mobile_device_prestages_id_scope_delete" % 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 `v1_mobile_device_prestages_id_scope_delete`") # noqa: E501 # verify the required parameter 'prestage_scope_update' is set if self.api_client.client_side_validation and ('prestage_scope_update' not in local_var_params or # noqa: E501 local_var_params['prestage_scope_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `prestage_scope_update` when calling `v1_mobile_device_prestages_id_scope_delete`") # 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 'prestage_scope_update' in local_var_params: body_params = local_var_params['prestage_scope_update'] # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeResponse", 400: "ApiError", 404: "ApiError", 409: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/scope', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_scope_get(self, id, **kwargs): # noqa: E501 """Get Device Scope for a specific Mobile Device Prestage # noqa: E501 Get device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_scope_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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: PrestageScopeResponse """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_scope_get_with_http_info(id, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_scope_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get Device Scope for a specific Mobile Device Prestage # noqa: E501 Get device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_scope_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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(PrestageScopeResponse, 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 v1_mobile_device_prestages_id_scope_get" % 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 `v1_mobile_device_prestages_id_scope_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeResponse", 404: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/scope', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_scope_post(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Add Device Scope for a specific Mobile Device Prestage # noqa: E501 Add device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_scope_post(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param prestage_scope_update: Serial Numbers to scope (required) :type prestage_scope_update: PrestageScopeUpdate :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: PrestageScopeResponse """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_scope_post_with_http_info(id, prestage_scope_update, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_scope_post_with_http_info(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Add Device Scope for a specific Mobile Device Prestage # noqa: E501 Add device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_scope_post_with_http_info(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param prestage_scope_update: Serial Numbers to scope (required) :type prestage_scope_update: PrestageScopeUpdate :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(PrestageScopeResponse, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'prestage_scope_update' ] 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 v1_mobile_device_prestages_id_scope_post" % 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 `v1_mobile_device_prestages_id_scope_post`") # noqa: E501 # verify the required parameter 'prestage_scope_update' is set if self.api_client.client_side_validation and ('prestage_scope_update' not in local_var_params or # noqa: E501 local_var_params['prestage_scope_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `prestage_scope_update` when calling `v1_mobile_device_prestages_id_scope_post`") # 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 'prestage_scope_update' in local_var_params: body_params = local_var_params['prestage_scope_update'] # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeResponse", 400: "ApiError", 404: "ApiError", 409: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/scope', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_id_scope_put(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Replace Device Scope for a specific Mobile Device Prestage # noqa: E501 Replace device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_scope_put(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param prestage_scope_update: Serial Numbers to scope (required) :type prestage_scope_update: PrestageScopeUpdate :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: PrestageScopeResponse """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_id_scope_put_with_http_info(id, prestage_scope_update, **kwargs) # noqa: E501 def v1_mobile_device_prestages_id_scope_put_with_http_info(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Replace Device Scope for a specific Mobile Device Prestage # noqa: E501 Replace device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_id_scope_put_with_http_info(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: int :param prestage_scope_update: Serial Numbers to scope (required) :type prestage_scope_update: PrestageScopeUpdate :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(PrestageScopeResponse, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'prestage_scope_update' ] 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 v1_mobile_device_prestages_id_scope_put" % 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 `v1_mobile_device_prestages_id_scope_put`") # noqa: E501 # verify the required parameter 'prestage_scope_update' is set if self.api_client.client_side_validation and ('prestage_scope_update' not in local_var_params or # noqa: E501 local_var_params['prestage_scope_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `prestage_scope_update` when calling `v1_mobile_device_prestages_id_scope_put`") # 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 'prestage_scope_update' in local_var_params: body_params = local_var_params['prestage_scope_update'] # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeResponse", 400: "ApiError", 404: "ApiError", 409: "ApiError", } return self.api_client.call_api( '/v1/mobile-device-prestages/{id}/scope', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_post(self, mobile_device_prestage, **kwargs): # noqa: E501 """Create a Mobile Device Prestage # noqa: E501 Create a mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_post(mobile_device_prestage, async_req=True) >>> result = thread.get() :param mobile_device_prestage: Mobile Device Prestage to create. ids defined in this body will be ignored (required) :type mobile_device_prestage: MobileDevicePrestage :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: GetMobileDevicePrestage """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_post_with_http_info(mobile_device_prestage, **kwargs) # noqa: E501 def v1_mobile_device_prestages_post_with_http_info(self, mobile_device_prestage, **kwargs): # noqa: E501 """Create a Mobile Device Prestage # noqa: E501 Create a mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_post_with_http_info(mobile_device_prestage, async_req=True) >>> result = thread.get() :param mobile_device_prestage: Mobile Device Prestage to create. ids defined in this body will be ignored (required) :type mobile_device_prestage: MobileDevicePrestage :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(GetMobileDevicePrestage, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'mobile_device_prestage' ] 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 v1_mobile_device_prestages_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'mobile_device_prestage' is set if self.api_client.client_side_validation and ('mobile_device_prestage' not in local_var_params or # noqa: E501 local_var_params['mobile_device_prestage'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `mobile_device_prestage` when calling `v1_mobile_device_prestages_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'mobile_device_prestage' in local_var_params: body_params = local_var_params['mobile_device_prestage'] # 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 = [] # noqa: E501 response_types_map = { 201: "GetMobileDevicePrestage", } return self.api_client.call_api( '/v1/mobile-device-prestages', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_scope_get(self, **kwargs): # noqa: E501 """Get all Device Scope for all Mobile Device Prestages # noqa: E501 Get all device scope for all mobile device prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_scope_get(async_req=True) >>> result = thread.get() :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: PrestageScope """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_scope_get_with_http_info(**kwargs) # noqa: E501 def v1_mobile_device_prestages_scope_get_with_http_info(self, **kwargs): # noqa: E501 """Get all Device Scope for all Mobile Device Prestages # noqa: E501 Get all device scope for all mobile device prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_scope_get_with_http_info(async_req=True) >>> result = thread.get() :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(PrestageScope, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ ] 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 v1_mobile_device_prestages_scope_get" % key ) local_var_params[key] = val del local_var_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 = [] # noqa: E501 response_types_map = { 200: "PrestageScope", } return self.api_client.call_api( '/v1/mobile-device-prestages/scope', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_sync_get(self, **kwargs): # noqa: E501 """Get all Prestage sync States for all prestages # noqa: E501 Get all prestage sync states for all prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_sync_get(async_req=True) >>> result = thread.get() :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[PrestageSyncStatus] """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_sync_get_with_http_info(**kwargs) # noqa: E501 def v1_mobile_device_prestages_sync_get_with_http_info(self, **kwargs): # noqa: E501 """Get all Prestage sync States for all prestages # noqa: E501 Get all prestage sync states for all prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_sync_get_with_http_info(async_req=True) >>> result = thread.get() :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[PrestageSyncStatus], status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ ] 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 v1_mobile_device_prestages_sync_get" % key ) local_var_params[key] = val del local_var_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 = [] # noqa: E501 response_types_map = { 200: "list[PrestageSyncStatus]", } return self.api_client.call_api( '/v1/mobile-device-prestages/sync', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_sync_id_get(self, id, **kwargs): # noqa: E501 """Get all prestage sync states for a single prestage # noqa: E501 Get all prestage sync states for a single prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_sync_id_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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: list[PrestageSyncStatus] """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_sync_id_get_with_http_info(id, **kwargs) # noqa: E501 def v1_mobile_device_prestages_sync_id_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get all prestage sync states for a single prestage # noqa: E501 Get all prestage sync states for a single prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_sync_id_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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(list[PrestageSyncStatus], 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 v1_mobile_device_prestages_sync_id_get" % 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 `v1_mobile_device_prestages_sync_id_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "list[PrestageSyncStatus]", } return self.api_client.call_api( '/v1/mobile-device-prestages/sync/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v1_mobile_device_prestages_sync_id_latest_get(self, id, **kwargs): # noqa: E501 """Get the latest Sync State for a single Prestage # noqa: E501 Get the latest sync state for a single prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_sync_id_latest_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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: PrestageSyncStatus """ kwargs['_return_http_data_only'] = True return self.v1_mobile_device_prestages_sync_id_latest_get_with_http_info(id, **kwargs) # noqa: E501 def v1_mobile_device_prestages_sync_id_latest_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get the latest Sync State for a single Prestage # noqa: E501 Get the latest sync state for a single prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_mobile_device_prestages_sync_id_latest_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: 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(PrestageSyncStatus, 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 v1_mobile_device_prestages_sync_id_latest_get" % 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 `v1_mobile_device_prestages_sync_id_latest_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageSyncStatus", } return self.api_client.call_api( '/v1/mobile-device-prestages/sync/{id}/latest', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_get(self, **kwargs): # noqa: E501 """Get sorted and paged Mobile Device Prestages # noqa: E501 Gets sorted and paged mobile device prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_get(async_req=True) >>> result = thread.get() :param page: :type page: int :param page_size: :type page_size: int :param sort: Sorting criteria in the format: property:asc/desc. Multiple sort criteria are supported and must be separated with a comma. Example: sort=date:desc,name:asc :type sort: 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: MobileDevicePrestageSearchResultsV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_get_with_http_info(**kwargs) # noqa: E501 def v2_mobile_device_prestages_get_with_http_info(self, **kwargs): # noqa: E501 """Get sorted and paged Mobile Device Prestages # noqa: E501 Gets sorted and paged mobile device prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_get_with_http_info(async_req=True) >>> result = thread.get() :param page: :type page: int :param page_size: :type page_size: int :param sort: Sorting criteria in the format: property:asc/desc. Multiple sort criteria are supported and must be separated with a comma. Example: sort=date:desc,name:asc :type sort: 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(MobileDevicePrestageSearchResultsV2, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'page', 'page_size', 'sort' ] 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 v2_mobile_device_prestages_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'page' in local_var_params and local_var_params['page'] is not None: # noqa: E501 query_params.append(('page', local_var_params['page'])) # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501 query_params.append(('page-size', local_var_params['page_size'])) # noqa: E501 if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501 query_params.append(('sort', local_var_params['sort'])) # noqa: E501 collection_formats['sort'] = 'multi' # 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 = [] # noqa: E501 response_types_map = { 200: "MobileDevicePrestageSearchResultsV2", } return self.api_client.call_api( '/v2/mobile-device-prestages', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_attachments_delete_multiple_post(self, id, ids, **kwargs): # noqa: E501 """Remove an attachment for a Mobile Device Prestage # noqa: E501 Remove an attachment for a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_attachments_delete_multiple_post(id, ids, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param ids: (required) :type ids: Ids :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.v2_mobile_device_prestages_id_attachments_delete_multiple_post_with_http_info(id, ids, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_attachments_delete_multiple_post_with_http_info(self, id, ids, **kwargs): # noqa: E501 """Remove an attachment for a Mobile Device Prestage # noqa: E501 Remove an attachment for a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_attachments_delete_multiple_post_with_http_info(id, ids, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param ids: (required) :type ids: Ids :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', 'ids' ] 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 v2_mobile_device_prestages_id_attachments_delete_multiple_post" % 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 `v2_mobile_device_prestages_id_attachments_delete_multiple_post`") # noqa: E501 # verify the required parameter 'ids' is set if self.api_client.client_side_validation and ('ids' not in local_var_params or # noqa: E501 local_var_params['ids'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `ids` when calling `v2_mobile_device_prestages_id_attachments_delete_multiple_post`") # 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 'ids' in local_var_params: body_params = local_var_params['ids'] # 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 = [] # noqa: E501 response_types_map = {} return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/attachments/delete-multiple', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_attachments_get(self, id, **kwargs): # noqa: E501 """Get attachments for a Mobile Device Prestage # noqa: E501 Get attachments for a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_attachments_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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: list[FileAttachmentV2] """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_attachments_get_with_http_info(id, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_attachments_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get attachments for a Mobile Device Prestage # noqa: E501 Get attachments for a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_attachments_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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(list[FileAttachmentV2], 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 v2_mobile_device_prestages_id_attachments_get" % 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 `v2_mobile_device_prestages_id_attachments_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "list[FileAttachmentV2]", 404: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/attachments', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_attachments_post(self, id, file, **kwargs): # noqa: E501 """Add an attachment to a Mobile Device Prestage # noqa: E501 Add an attachment to a Mobile Device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_attachments_post(id, file, async_req=True) >>> result = thread.get() :param id: Identifier of the Mobile Device Prestage the attachment should be assigned to (required) :type id: str :param file: The file to upload (required) :type file: file :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: PrestageFileAttachmentV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_attachments_post_with_http_info(id, file, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_attachments_post_with_http_info(self, id, file, **kwargs): # noqa: E501 """Add an attachment to a Mobile Device Prestage # noqa: E501 Add an attachment to a Mobile Device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_attachments_post_with_http_info(id, file, async_req=True) >>> result = thread.get() :param id: Identifier of the Mobile Device Prestage the attachment should be assigned to (required) :type id: str :param file: The file to upload (required) :type file: file :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(PrestageFileAttachmentV2, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'file' ] 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 v2_mobile_device_prestages_id_attachments_post" % 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 `v2_mobile_device_prestages_id_attachments_post`") # noqa: E501 # verify the required parameter 'file' is set if self.api_client.client_side_validation and ('file' not in local_var_params or # noqa: E501 local_var_params['file'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `file` when calling `v2_mobile_device_prestages_id_attachments_post`") # 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 = {} if 'file' in local_var_params: local_var_files['file'] = local_var_params['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 = [] # noqa: E501 response_types_map = { 201: "PrestageFileAttachmentV2", 404: "ApiError", 413: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/attachments', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_delete(self, id, **kwargs): # noqa: E501 """Delete a Mobile Device Prestage with the supplied id # noqa: E501 Deletes a Mobile Device Prestage with the supplied 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.v2_mobile_device_prestages_id_delete(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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: None """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_delete_with_http_info(id, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_delete_with_http_info(self, id, **kwargs): # noqa: E501 """Delete a Mobile Device Prestage with the supplied id # noqa: E501 Deletes a Mobile Device Prestage with the supplied 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.v2_mobile_device_prestages_id_delete_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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: None """ 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 v2_mobile_device_prestages_id_delete" % 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 `v2_mobile_device_prestages_id_delete`") # 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 # Authentication setting auth_settings = [] # noqa: E501 response_types_map = {} return self.api_client.call_api( '/v2/mobile-device-prestages/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_get(self, id, **kwargs): # noqa: E501 """Retrieve a Mobile Device Prestage with the supplied id # noqa: E501 Retrieves a Mobile Device Prestage with the supplied 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.v2_mobile_device_prestages_id_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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: GetMobileDevicePrestageV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_get_with_http_info(id, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_get_with_http_info(self, id, **kwargs): # noqa: E501 """Retrieve a Mobile Device Prestage with the supplied id # noqa: E501 Retrieves a Mobile Device Prestage with the supplied 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.v2_mobile_device_prestages_id_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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(GetMobileDevicePrestageV2, 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 v2_mobile_device_prestages_id_get" % 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 `v2_mobile_device_prestages_id_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "GetMobileDevicePrestageV2", 404: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_history_get(self, id, **kwargs): # noqa: E501 """Get sorted and paged Mobile Device Prestage history objects # noqa: E501 Gets sorted and paged mobile device prestage history objects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_history_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param page: :type page: int :param page_size: :type page_size: int :param sort: Sorting criteria in the format: property,asc/desc. Default sort order is descending. Multiple sort criteria are supported and must be entered on separate lines in Swagger UI. In the URI the 'sort' query param is duplicated for each sort criterion, e.g., ...&sort=name%2Casc&sort=date%2Cdesc :type sort: 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: HistorySearchResults """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_history_get_with_http_info(id, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_history_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get sorted and paged Mobile Device Prestage history objects # noqa: E501 Gets sorted and paged mobile device prestage history objects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_history_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param page: :type page: int :param page_size: :type page_size: int :param sort: Sorting criteria in the format: property,asc/desc. Default sort order is descending. Multiple sort criteria are supported and must be entered on separate lines in Swagger UI. In the URI the 'sort' query param is duplicated for each sort criterion, e.g., ...&sort=name%2Casc&sort=date%2Cdesc :type sort: 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(HistorySearchResults, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'page', 'page_size', 'sort' ] 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 v2_mobile_device_prestages_id_history_get" % 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 `v2_mobile_device_prestages_id_history_get`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] if 'page' in local_var_params and local_var_params['page'] is not None: # noqa: E501 query_params.append(('page', local_var_params['page'])) # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501 query_params.append(('page-size', local_var_params['page_size'])) # noqa: E501 if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501 query_params.append(('sort', local_var_params['sort'])) # noqa: E501 collection_formats['sort'] = 'multi' # 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 = [] # noqa: E501 response_types_map = { 200: "HistorySearchResults", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/history', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_history_post(self, id, object_history_note, **kwargs): # noqa: E501 """Add Mobile Device Prestage history object notes # noqa: E501 Adds mobile device prestage history object notes # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_history_post(id, object_history_note, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param object_history_note: History notes to create (required) :type object_history_note: ObjectHistoryNote :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: HrefResponse """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_history_post_with_http_info(id, object_history_note, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_history_post_with_http_info(self, id, object_history_note, **kwargs): # noqa: E501 """Add Mobile Device Prestage history object notes # noqa: E501 Adds mobile device prestage history object notes # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_history_post_with_http_info(id, object_history_note, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param object_history_note: History notes to create (required) :type object_history_note: ObjectHistoryNote :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(HrefResponse, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'object_history_note' ] 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 v2_mobile_device_prestages_id_history_post" % 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 `v2_mobile_device_prestages_id_history_post`") # noqa: E501 # verify the required parameter 'object_history_note' is set if self.api_client.client_side_validation and ('object_history_note' not in local_var_params or # noqa: E501 local_var_params['object_history_note'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `object_history_note` when calling `v2_mobile_device_prestages_id_history_post`") # 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 'object_history_note' in local_var_params: body_params = local_var_params['object_history_note'] # 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 = [] # noqa: E501 response_types_map = { 201: "HrefResponse", 503: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/history', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_put(self, id, put_mobile_device_prestage_v2, **kwargs): # noqa: E501 """Update a Mobile Device Prestage # noqa: E501 Updates a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_put(id, put_mobile_device_prestage_v2, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param put_mobile_device_prestage_v2: Mobile Device Prestage to update (required) :type put_mobile_device_prestage_v2: PutMobileDevicePrestageV2 :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: GetMobileDevicePrestageV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_put_with_http_info(id, put_mobile_device_prestage_v2, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_put_with_http_info(self, id, put_mobile_device_prestage_v2, **kwargs): # noqa: E501 """Update a Mobile Device Prestage # noqa: E501 Updates a Mobile Device Prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_put_with_http_info(id, put_mobile_device_prestage_v2, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param put_mobile_device_prestage_v2: Mobile Device Prestage to update (required) :type put_mobile_device_prestage_v2: PutMobileDevicePrestageV2 :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(GetMobileDevicePrestageV2, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'put_mobile_device_prestage_v2' ] 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 v2_mobile_device_prestages_id_put" % 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 `v2_mobile_device_prestages_id_put`") # noqa: E501 # verify the required parameter 'put_mobile_device_prestage_v2' is set if self.api_client.client_side_validation and ('put_mobile_device_prestage_v2' not in local_var_params or # noqa: E501 local_var_params['put_mobile_device_prestage_v2'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `put_mobile_device_prestage_v2` when calling `v2_mobile_device_prestages_id_put`") # 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 'put_mobile_device_prestage_v2' in local_var_params: body_params = local_var_params['put_mobile_device_prestage_v2'] # 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 = [] # noqa: E501 response_types_map = { 200: "GetMobileDevicePrestageV2", 404: "ApiError", 409: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_scope_delete_multiple_post(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Remove Device Scope for a specific Mobile Device Prestage # noqa: E501 Remove device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_scope_delete_multiple_post(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param prestage_scope_update: Serial Numbers to remove from scope (required) :type prestage_scope_update: PrestageScopeUpdate :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: PrestageScopeResponseV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_scope_delete_multiple_post_with_http_info(id, prestage_scope_update, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_scope_delete_multiple_post_with_http_info(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Remove Device Scope for a specific Mobile Device Prestage # noqa: E501 Remove device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_scope_delete_multiple_post_with_http_info(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param prestage_scope_update: Serial Numbers to remove from scope (required) :type prestage_scope_update: PrestageScopeUpdate :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(PrestageScopeResponseV2, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'prestage_scope_update' ] 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 v2_mobile_device_prestages_id_scope_delete_multiple_post" % 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 `v2_mobile_device_prestages_id_scope_delete_multiple_post`") # noqa: E501 # verify the required parameter 'prestage_scope_update' is set if self.api_client.client_side_validation and ('prestage_scope_update' not in local_var_params or # noqa: E501 local_var_params['prestage_scope_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `prestage_scope_update` when calling `v2_mobile_device_prestages_id_scope_delete_multiple_post`") # 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 'prestage_scope_update' in local_var_params: body_params = local_var_params['prestage_scope_update'] # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeResponseV2", 400: "ApiError", 404: "ApiError", 409: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/scope/delete-multiple', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_scope_get(self, id, **kwargs): # noqa: E501 """Get Device Scope for a specific Mobile Device Prestage # noqa: E501 Get device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_scope_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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: PrestageScopeResponseV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_scope_get_with_http_info(id, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_scope_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get Device Scope for a specific Mobile Device Prestage # noqa: E501 Get device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_scope_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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(PrestageScopeResponseV2, 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 v2_mobile_device_prestages_id_scope_get" % 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 `v2_mobile_device_prestages_id_scope_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeResponseV2", 404: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/scope', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_scope_post(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Add Device Scope for a specific Mobile Device Prestage # noqa: E501 Add device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_scope_post(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param prestage_scope_update: Serial Numbers to scope (required) :type prestage_scope_update: PrestageScopeUpdate :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: PrestageScopeResponseV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_scope_post_with_http_info(id, prestage_scope_update, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_scope_post_with_http_info(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Add Device Scope for a specific Mobile Device Prestage # noqa: E501 Add device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_scope_post_with_http_info(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param prestage_scope_update: Serial Numbers to scope (required) :type prestage_scope_update: PrestageScopeUpdate :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(PrestageScopeResponseV2, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'prestage_scope_update' ] 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 v2_mobile_device_prestages_id_scope_post" % 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 `v2_mobile_device_prestages_id_scope_post`") # noqa: E501 # verify the required parameter 'prestage_scope_update' is set if self.api_client.client_side_validation and ('prestage_scope_update' not in local_var_params or # noqa: E501 local_var_params['prestage_scope_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `prestage_scope_update` when calling `v2_mobile_device_prestages_id_scope_post`") # 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 'prestage_scope_update' in local_var_params: body_params = local_var_params['prestage_scope_update'] # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeResponseV2", 400: "ApiError", 404: "ApiError", 409: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/scope', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_scope_put(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Replace Device Scope for a specific Mobile Device Prestage # noqa: E501 Replace device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_scope_put(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param prestage_scope_update: Serial Numbers to scope (required) :type prestage_scope_update: PrestageScopeUpdate :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: PrestageScopeResponseV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_scope_put_with_http_info(id, prestage_scope_update, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_scope_put_with_http_info(self, id, prestage_scope_update, **kwargs): # noqa: E501 """Replace Device Scope for a specific Mobile Device Prestage # noqa: E501 Replace device scope for a specific mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_scope_put_with_http_info(id, prestage_scope_update, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (required) :type id: str :param prestage_scope_update: Serial Numbers to scope (required) :type prestage_scope_update: PrestageScopeUpdate :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(PrestageScopeResponseV2, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'id', 'prestage_scope_update' ] 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 v2_mobile_device_prestages_id_scope_put" % 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 `v2_mobile_device_prestages_id_scope_put`") # noqa: E501 # verify the required parameter 'prestage_scope_update' is set if self.api_client.client_side_validation and ('prestage_scope_update' not in local_var_params or # noqa: E501 local_var_params['prestage_scope_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `prestage_scope_update` when calling `v2_mobile_device_prestages_id_scope_put`") # 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 'prestage_scope_update' in local_var_params: body_params = local_var_params['prestage_scope_update'] # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeResponseV2", 400: "ApiError", 404: "ApiError", 409: "ApiError", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/scope', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_syncs_get(self, id, **kwargs): # noqa: E501 """Get all prestage sync states for a single prestage # noqa: E501 Get all prestage sync states for a single prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_syncs_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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: list[PrestageSyncStatusV2] """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_syncs_get_with_http_info(id, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_syncs_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get all prestage sync states for a single prestage # noqa: E501 Get all prestage sync states for a single prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_syncs_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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(list[PrestageSyncStatusV2], 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 v2_mobile_device_prestages_id_syncs_get" % 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 `v2_mobile_device_prestages_id_syncs_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "list[PrestageSyncStatusV2]", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/syncs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_id_syncs_latest_get(self, id, **kwargs): # noqa: E501 """Get the latest Sync State for a single Prestage # noqa: E501 Get the latest sync state for a single prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_syncs_latest_get(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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: PrestageSyncStatusV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_id_syncs_latest_get_with_http_info(id, **kwargs) # noqa: E501 def v2_mobile_device_prestages_id_syncs_latest_get_with_http_info(self, id, **kwargs): # noqa: E501 """Get the latest Sync State for a single Prestage # noqa: E501 Get the latest sync state for a single prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_id_syncs_latest_get_with_http_info(id, async_req=True) >>> result = thread.get() :param id: Mobile Device Prestage identifier (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(PrestageSyncStatusV2, 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 v2_mobile_device_prestages_id_syncs_latest_get" % 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 `v2_mobile_device_prestages_id_syncs_latest_get`") # 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 = [] # noqa: E501 response_types_map = { 200: "PrestageSyncStatusV2", } return self.api_client.call_api( '/v2/mobile-device-prestages/{id}/syncs/latest', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_post(self, mobile_device_prestage_v2, **kwargs): # noqa: E501 """Create a Mobile Device Prestage # noqa: E501 Create a mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_post(mobile_device_prestage_v2, async_req=True) >>> result = thread.get() :param mobile_device_prestage_v2: Mobile Device Prestage to create. ids defined in this body will be ignored (required) :type mobile_device_prestage_v2: MobileDevicePrestageV2 :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: HrefResponse """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_post_with_http_info(mobile_device_prestage_v2, **kwargs) # noqa: E501 def v2_mobile_device_prestages_post_with_http_info(self, mobile_device_prestage_v2, **kwargs): # noqa: E501 """Create a Mobile Device Prestage # noqa: E501 Create a mobile device prestage # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_post_with_http_info(mobile_device_prestage_v2, async_req=True) >>> result = thread.get() :param mobile_device_prestage_v2: Mobile Device Prestage to create. ids defined in this body will be ignored (required) :type mobile_device_prestage_v2: MobileDevicePrestageV2 :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(HrefResponse, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'mobile_device_prestage_v2' ] 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 v2_mobile_device_prestages_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'mobile_device_prestage_v2' is set if self.api_client.client_side_validation and ('mobile_device_prestage_v2' not in local_var_params or # noqa: E501 local_var_params['mobile_device_prestage_v2'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `mobile_device_prestage_v2` when calling `v2_mobile_device_prestages_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'mobile_device_prestage_v2' in local_var_params: body_params = local_var_params['mobile_device_prestage_v2'] # 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 = [] # noqa: E501 response_types_map = { 201: "HrefResponse", } return self.api_client.call_api( '/v2/mobile-device-prestages', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_scope_get(self, **kwargs): # noqa: E501 """Get all Device Scope for all Mobile Device Prestages # noqa: E501 Get all device scope for all mobile device prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_scope_get(async_req=True) >>> result = thread.get() :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: PrestageScopeV2 """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_scope_get_with_http_info(**kwargs) # noqa: E501 def v2_mobile_device_prestages_scope_get_with_http_info(self, **kwargs): # noqa: E501 """Get all Device Scope for all Mobile Device Prestages # noqa: E501 Get all device scope for all mobile device prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_scope_get_with_http_info(async_req=True) >>> result = thread.get() :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(PrestageScopeV2, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ ] 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 v2_mobile_device_prestages_scope_get" % key ) local_var_params[key] = val del local_var_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 = [] # noqa: E501 response_types_map = { 200: "PrestageScopeV2", } return self.api_client.call_api( '/v2/mobile-device-prestages/scope', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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 v2_mobile_device_prestages_syncs_get(self, **kwargs): # noqa: E501 """Get all Prestage sync States for all prestages # noqa: E501 Get all prestage sync states for all prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_syncs_get(async_req=True) >>> result = thread.get() :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[PrestageSyncStatusV2] """ kwargs['_return_http_data_only'] = True return self.v2_mobile_device_prestages_syncs_get_with_http_info(**kwargs) # noqa: E501 def v2_mobile_device_prestages_syncs_get_with_http_info(self, **kwargs): # noqa: E501 """Get all Prestage sync States for all prestages # noqa: E501 Get all prestage sync states for all prestages # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v2_mobile_device_prestages_syncs_get_with_http_info(async_req=True) >>> result = thread.get() :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[PrestageSyncStatusV2], status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ ] 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 v2_mobile_device_prestages_syncs_get" % key ) local_var_params[key] = val del local_var_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 = [] # noqa: E501 response_types_map = { 200: "list[PrestageSyncStatusV2]", } return self.api_client.call_api( '/v2/mobile-device-prestages/syncs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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'))

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a0419bf30db77a00aee71030782816b1b3f01371

6,769

py

Python

axonius_api_client/tests/tests_api/tests_assets/test_users.py

geransmith/axonius_api_client

09fd564d62f0ddf7aa44db14a509eaafaf0c930f

[ "MIT" ]

null

axonius_api_client/tests/tests_api/tests_assets/test_users.py

geransmith/axonius_api_client

09fd564d62f0ddf7aa44db14a509eaafaf0c930f

[ "MIT" ]

null

axonius_api_client/tests/tests_api/tests_assets/test_users.py

geransmith/axonius_api_client

09fd564d62f0ddf7aa44db14a509eaafaf0c930f

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Test suite for assets.""" import pytest from .base_assets import ( AssetsPrivate, AssetsPublic, ModelMixinsBase, check_assets, get_field_values, load_test_data, ) class TestUsers(AssetsPrivate, AssetsPublic, ModelMixinsBase): """Pass.""" @pytest.fixture(scope="class") def apiobj(self, api_users): """Pass.""" return load_test_data(apiobj=api_users) def test_get_by_username(self, apiobj): """Pass.""" field = apiobj.FIELD_USERNAME values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) value = values[0] rows = apiobj.get_by_username( value=value, field=field, fields_map=apiobj.TEST_DATA["fields_map"], ) check_assets(rows) assert len(rows) == 1 rows_values = get_field_values(rows=rows, field=field) assert value in rows_values def test_get_by_username_equals_not(self, apiobj): """Pass.""" field = apiobj.FIELD_USERNAME values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) value = values[0] rows = apiobj.get_by_username( value=value, field=field, fields_map=apiobj.TEST_DATA["fields_map"], not_flag=True, ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) assert value not in rows_values def test_get_by_usernames(self, apiobj): """Pass.""" field = apiobj.FIELD_USERNAME values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) values = values[0:2] rows = apiobj.get_by_usernames( values=values, field=field, fields_map=apiobj.TEST_DATA["fields_map"], ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) for value in values: assert value in rows_values def test_get_by_usernames_not(self, apiobj): """Pass.""" field = apiobj.FIELD_USERNAME values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) values = values[0:2] rows = apiobj.get_by_usernames( values=values, field=field, fields_map=apiobj.TEST_DATA["fields_map"], not_flag=True, ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) for value in values: assert value not in rows_values def test_get_by_username_regex(self, apiobj): """Pass.""" field = apiobj.FIELD_USERNAME values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) value = values[0] regex_value = value[0:5] rows = apiobj.get_by_username_regex( value=regex_value, fields_map=apiobj.TEST_DATA["fields_map"], field=field, ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) assert value in rows_values def test_get_by_username_regex_not(self, apiobj): """Pass.""" field = apiobj.FIELD_USERNAME values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) value = values[0] regex_value = value[0:5] rows = apiobj.get_by_username_regex( value=regex_value, field=field, not_flag=True, fields_map=apiobj.TEST_DATA["fields_map"], ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) assert value not in rows_values def test_get_by_mail(self, apiobj): """Pass.""" field = apiobj.FIELD_MAIL values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) value = values[0] rows = apiobj.get_by_mail( value=value, field=field, fields_map=apiobj.TEST_DATA["fields_map"], ) check_assets(rows) assert len(rows) >= 1 rows_values = get_field_values(rows=rows, field=field) assert value in rows_values def test_get_by_mail_equals_not(self, apiobj): """Pass.""" field = apiobj.FIELD_MAIL values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) value = values[0] rows = apiobj.get_by_mail( value=value, field=field, fields_map=apiobj.TEST_DATA["fields_map"], not_flag=True, ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) assert value not in rows_values def test_get_by_mails(self, apiobj): """Pass.""" field = apiobj.FIELD_MAIL values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) values = values[0:2] rows = apiobj.get_by_mails( values=values, field=field, fields_map=apiobj.TEST_DATA["fields_map"], ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) for value in values: assert value in rows_values def test_get_by_mails_not(self, apiobj): """Pass.""" field = apiobj.FIELD_MAIL values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) values = values[0:2] rows = apiobj.get_by_mails( values=values, field=field, fields_map=apiobj.TEST_DATA["fields_map"], not_flag=True, ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) for value in values: assert value not in rows_values def test_get_by_mail_regex(self, apiobj): """Pass.""" field = apiobj.FIELD_MAIL values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) value = values[0] regex_value = value[0:5] rows = apiobj.get_by_mail_regex( value=regex_value, field=field, fields_map=apiobj.TEST_DATA["fields_map"], ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) assert value in rows_values def test_get_by_mail_regex_not(self, apiobj): """Pass.""" field = apiobj.FIELD_MAIL values = get_field_values(rows=apiobj.TEST_DATA["assets"], field=field) value = values[0] regex_value = value[0:5] rows = apiobj.get_by_mail_regex( value=regex_value, field=field, fields_map=apiobj.TEST_DATA["fields_map"], not_flag=True, ) check_assets(rows) rows_values = get_field_values(rows=rows, field=field) assert value not in rows_values

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null

0

7

a0629a51938546797eb101243071ffcbb5171b49

68,046

py

Python

workflow/test/stash/stash_facade_test.py

mibexsoftware/alfred-stash-workflow

5cdba4d14c8998b937c1aa6af8e3417251fac540

[ "MIT" ]

13

2016-03-31T16:19:59.000Z

2019-09-26T20:47:57.000Z

workflow/test/stash/stash_facade_test.py

mibexsoftware/alfred-stash-workflow

5cdba4d14c8998b937c1aa6af8e3417251fac540

[ "MIT" ]

6

2015-09-18T15:24:43.000Z

2019-10-23T16:51:39.000Z

workflow/test/stash/stash_facade_test.py

mibexsoftware/alfred-stash-workflow

5cdba4d14c8998b937c1aa6af8e3417251fac540

[ "MIT" ]

3

2015-09-16T18:05:32.000Z

2020-01-04T19:41:21.000Z

# -*- coding: utf-8 -*- from distutils.version import StrictVersion from unittest import TestCase import httpretty from src.stash.project import Project from src.stash.pull_request import PullRequest from src.stash.pull_request_suggestion import PullRequestSuggestion from src.stash.repository import Repository from src.stash.stash_facade import StashFacade class TestStashFacade(TestCase): def setUp(self): self.stash_facade = StashFacade(stash_host='http://localhost:7990/stash') @httpretty.activate def test_get_all_projects(self): # GIVEN self._mock_projects_rest_call() # WHEN projects = self.stash_facade.all_projects() # THEN self.assertEquals( [Project(key='PRJ', name='My Cool Project', description='The description for my cool project.', link='http://link/to/project')], projects ) @httpretty.activate def test_get_all_repositories(self): # GIVEN self._mock_repos_rest_call() # WHEN repositories = self.stash_facade.all_repositories() # THEN self.assertEquals([Repository(name='My repo 1', slug='my-repo1', link='http://link/to/repository1', project_key='PRJ', project_name='My Cool Project', public=False, fork=False, clone_url='https://<baseURL>/scm/PRJ/my-repo1.git'), Repository(name='My repo 2', slug='my-repo2', link='http://link/to/repository2', project_key='PRJ', project_name='My Cool Project', public=True, fork=True, clone_url='https://<baseURL>/scm/PRJ/my-repo2.git')], repositories) @httpretty.activate def test_my_pull_requests_to_review(self): # GIVEN self._mock_pull_requests_rest_call() # WHEN pull_requests = self.stash_facade.my_pull_requests_to_review(StrictVersion('4.10.0')) # THEN self.assertEquals( [PullRequest(pull_request_id=1, from_branch='dev', to_branch='master', title='Dev', link='http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/pull-requests/1', repo_name='rep_1', project_key='PROJECT_1')], pull_requests ) @httpretty.activate def test_my_created_pull_requests(self): # GIVEN self._mock_pull_requests_rest_call() # WHEN pull_requests = self.stash_facade.my_created_pull_requests(StrictVersion('4.10.0')) # THEN self.assertEquals( [PullRequest(pull_request_id=1, from_branch='dev', to_branch='master', title='Dev', link='http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/pull-requests/1', repo_name='rep_1', project_key='PROJECT_1')], pull_requests ) @httpretty.activate def test_open_pull_requests(self): # GIVEN self._mock_repos_rest_call() self._mock_open_pull_requests_rest_call() # WHEN pull_requests = self.stash_facade.open_pull_requests() # THEN self.assertEquals( [PullRequest(pull_request_id=1, from_branch='dev', to_branch='master', title='Dev', link='http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/pull-requests/1', repo_name='rep_1', project_key='PROJECT_1'), PullRequest(pull_request_id=1, from_branch='dev', to_branch='master', title='Dev', link='http://localhost:7990/stash/projects/PROJECT_1/repos/rep_2/pull-requests/1', repo_name='rep_2', project_key='PROJECT_1')], pull_requests ) @httpretty.activate def test_pull_request_suggestions(self): # GIVEN self._mock_pull_request_suggestions_rest_call() # WHEN suggestions = self.stash_facade.my_pull_request_suggestions(StrictVersion('4.10.0')) # THEN self.assertEquals( PullRequestSuggestion(change_time=1478187004000, repo_slug='alfred-stash-workflow', repo_name='Alfred Stash Workflow', project_name='Mira', project_key='MIRA', project_url='https://localhost:7990/bitbucket/projects/MIRA', ref_id='refs/heads/master', display_id='master'), suggestions[0] ) def _mock_pull_request_suggestions_rest_call(self): httpretty.register_uri(httpretty.GET, "http://localhost:7990/stash/rest/api/1.0/dashboard/pull-request-suggestions", body='''{ "size": 1, "limit": 3, "isLastPage": true, "values": [ { "changeTime": 1478187004000, "refChange": { "ref": { "id": "refs/heads/master", "displayId": "master", "type": "BRANCH" }, "refId": "refs/heads/master", "fromHash": "f9431d41a78f766138220f73a3b50286766df770", "toHash": "41bf84305faa3a5882f1eeb19a3298098f574bf9", "type": "UPDATE" }, "repository": { "slug": "alfred-stash-workflow", "id": 352, "name": "Alfred Stash Workflow", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": false, "project": { "key": "MIRA", "id": 41, "name": "Mira", "description": "Our phantastic Atlassian plug-ins", "public": false, "type": "NORMAL", "links": { "self": [ { "href": "https://localhost:7990/bitbucket/projects/MIRA" } ] } }, "public": false, "links": { "clone": [ { "href": "https://mrueegg@localhost:7990/bitbucket/scm/mira/alfred-stash-workflow.git", "name": "http" }, { "href": "ssh://git@localhost:8442/mira/alfred-stash-workflow.git", "name": "ssh" } ], "self": [ { "href": "https://localhost:7990/bitbucket/projects/MIRA/repos/alfred-stash-workflow/browse" } ] } }, "fromRef": { "id": "refs/heads/master", "displayId": "master", "type": "BRANCH" }, "toRef": { "id": "refs/heads/master", "displayId": "master", "type": "BRANCH" } } ], "start": 0 }''', content_type="application/json") def _mock_pull_requests_rest_call(self): httpretty.register_uri(httpretty.GET, "http://localhost:7990/stash/rest/api/1.0/inbox/pull-requests", body='''{ "size": 1, "limit": 25, "isLastPage": true, "values": [ { "id": 1, "version": 0, "title": "Dev", "description": "* a couple of changes", "state": "OPEN", "open": true, "closed": false, "createdDate": 1436283154855, "updatedDate": 1436283154855, "fromRef": { "id": "refs/heads/dev", "displayId": "dev", "latestChangeset": "bf97bf79c6d2b14757d6a929a576a65be296cc20", "repository": { "slug": "rep_1", "id": 11, "name": "rep_1", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "project": { "key": "PROJECT_1", "id": 1, "name": "Project 1", "description": "Default configuration project #1", "public": false, "type": "NORMAL", "link": { "url": "/projects/PROJECT_1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1" } ] } }, "public": false, "link": { "url": "/projects/PROJECT_1/repos/rep_1/browse", "rel": "self" }, "cloneUrl": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "links": { "clone": [ { "href": "ssh://git@localhost:7999/project_1/rep_1.git", "name": "ssh" }, { "href": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "name": "http" } ], "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/browse" } ] } } }, "toRef": { "id": "refs/heads/master", "displayId": "master", "latestChangeset": "0c38f167ab09ceb7d9ec1bb3d41ff3993a34d803", "repository": { "slug": "rep_1", "id": 11, "name": "rep_1", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "project": { "key": "PROJECT_1", "id": 1, "name": "Project 1", "description": "Default configuration project #1", "public": false, "type": "NORMAL", "link": { "url": "/projects/PROJECT_1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1" } ] } }, "public": false, "link": { "url": "/projects/PROJECT_1/repos/rep_1/browse", "rel": "self" }, "cloneUrl": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "links": { "clone": [ { "href": "ssh://git@localhost:7999/project_1/rep_1.git", "name": "ssh" }, { "href": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "name": "http" } ], "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/browse" } ] } } }, "locked": false, "author": { "user": { "name": "admin", "emailAddress": "admin@example.com", "id": 1, "displayName": "Administrator", "active": true, "slug": "admin", "type": "NORMAL", "link": { "url": "/users/admin", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/users/admin" } ] } }, "role": "AUTHOR", "approved": false }, "reviewers": [], "participants": [], "attributes": { "resolvedTaskCount": [ "0" ], "commentCount": [ "5" ], "openTaskCount": [ "0" ] }, "link": { "url": "/projects/PROJECT_1/repos/rep_1/pull-requests/1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/pull-requests/1" } ] } } ], "start": 0 }''', content_type="application/json") def _mock_open_pull_requests_rest_call(self): httpretty.register_uri(httpretty.GET, "http://localhost:7990/stash/rest/api/1.0/projects/PRJ/repos/my-repo1/pull-requests?limit=100", body='''{ "size": 1, "limit": 25, "isLastPage": true, "values": [ { "id": 1, "version": 0, "title": "Dev", "description": "* a couple of changes", "state": "OPEN", "open": true, "closed": false, "createdDate": 1436283154855, "updatedDate": 1436283154855, "fromRef": { "id": "refs/heads/dev", "displayId": "dev", "latestChangeset": "bf97bf79c6d2b14757d6a929a576a65be296cc20", "repository": { "slug": "rep_1", "id": 11, "name": "rep_1", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "project": { "key": "PROJECT_1", "id": 1, "name": "Project 1", "description": "Default configuration project #1", "public": false, "type": "NORMAL", "link": { "url": "/projects/PROJECT_1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1" } ] } }, "public": false, "link": { "url": "/projects/PROJECT_1/repos/rep_1/browse", "rel": "self" }, "cloneUrl": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "links": { "clone": [ { "href": "ssh://git@localhost:7999/project_1/rep_1.git", "name": "ssh" }, { "href": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "name": "http" } ], "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/browse" } ] } } }, "toRef": { "id": "refs/heads/master", "displayId": "master", "latestChangeset": "0c38f167ab09ceb7d9ec1bb3d41ff3993a34d803", "repository": { "slug": "rep_1", "id": 11, "name": "rep_1", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "project": { "key": "PROJECT_1", "id": 1, "name": "Project 1", "description": "Default configuration project #1", "public": false, "type": "NORMAL", "link": { "url": "/projects/PROJECT_1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1" } ] } }, "public": false, "link": { "url": "/projects/PROJECT_1/repos/rep_1/browse", "rel": "self" }, "cloneUrl": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "links": { "clone": [ { "href": "ssh://git@localhost:7999/project_1/rep_1.git", "name": "ssh" }, { "href": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "name": "http" } ], "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/browse" } ] } } }, "locked": false, "author": { "user": { "name": "admin", "emailAddress": "admin@example.com", "id": 1, "displayName": "Administrator", "active": true, "slug": "admin", "type": "NORMAL", "link": { "url": "/users/admin", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/users/admin" } ] } }, "role": "AUTHOR", "approved": false }, "reviewers": [], "participants": [], "attributes": { "resolvedTaskCount": [ "0" ], "commentCount": [ "5" ], "openTaskCount": [ "0" ] }, "link": { "url": "/projects/PROJECT_1/repos/rep_1/pull-requests/1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/pull-requests/1" } ] } } ], "start": 0 }''', content_type="application/json") httpretty.register_uri(httpretty.GET, "http://localhost:7990/stash/rest/api/1.0/projects/PRJ/repos/my-repo2/pull-requests?limit=100", body='''{ "size": 1, "limit": 25, "isLastPage": true, "values": [ { "id": 1, "version": 0, "title": "Dev", "description": "* a couple of changes", "state": "OPEN", "open": true, "closed": false, "createdDate": 1436283154855, "updatedDate": 1436283154855, "fromRef": { "id": "refs/heads/dev", "displayId": "dev", "latestChangeset": "bf97bf79c6d2b14757d6a929a576a65be296cc20", "repository": { "slug": "rep_2", "id": 11, "name": "rep_2", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "project": { "key": "PROJECT_1", "id": 1, "name": "Project 1", "description": "Default configuration project #1", "public": false, "type": "NORMAL", "link": { "url": "/projects/PROJECT_1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1" } ] } }, "public": false, "link": { "url": "/projects/PROJECT_1/repos/rep_2/browse", "rel": "self" }, "cloneUrl": "http://admin@localhost:7990/stash/scm/project_1/rep_2.git", "links": { "clone": [ { "href": "ssh://git@localhost:7999/project_1/rep_2.git", "name": "ssh" }, { "href": "http://admin@localhost:7990/stash/scm/project_1/rep_2.git", "name": "http" } ], "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/browse" } ] } } }, "toRef": { "id": "refs/heads/master", "displayId": "master", "latestChangeset": "0c38f167ab09ceb7d9ec1bb3d41ff3993a34d803", "repository": { "slug": "rep_1", "id": 11, "name": "rep_1", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "project": { "key": "PROJECT_1", "id": 1, "name": "Project 1", "description": "Default configuration project #1", "public": false, "type": "NORMAL", "link": { "url": "/projects/PROJECT_1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1" } ] } }, "public": false, "link": { "url": "/projects/PROJECT_1/repos/rep_2/browse", "rel": "self" }, "cloneUrl": "http://admin@localhost:7990/stash/scm/project_1/rep_2.git", "links": { "clone": [ { "href": "ssh://git@localhost:7999/project_1/rep_2.git", "name": "ssh" }, { "href": "http://admin@localhost:7990/stash/scm/project_1/rep_1.git", "name": "http" } ], "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_1/browse" } ] } } }, "locked": false, "author": { "user": { "name": "admin", "emailAddress": "admin@example.com", "id": 1, "displayName": "Administrator", "active": true, "slug": "admin", "type": "NORMAL", "link": { "url": "/users/admin", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/users/admin" } ] } }, "role": "AUTHOR", "approved": false }, "reviewers": [], "participants": [], "attributes": { "resolvedTaskCount": [ "0" ], "commentCount": [ "5" ], "openTaskCount": [ "0" ] }, "link": { "url": "/projects/PROJECT_1/repos/rep_2/pull-requests/1", "rel": "self" }, "links": { "self": [ { "href": "http://localhost:7990/stash/projects/PROJECT_1/repos/rep_2/pull-requests/1" } ] } } ], "start": 0 }''', content_type="application/json") def _mock_projects_rest_call(self): httpretty.register_uri(httpretty.GET, "http://localhost:7990/stash/rest/api/1.0/projects", body='''{ "size": 1, "limit": 25, "isLastPage": true, "values": [ { "key": "PRJ", "id": 1, "name": "My Cool Project", "description": "The description for my cool project.", "public": true, "type": "NORMAL", "link": { "url": "http://link/to/project", "rel": "self" }, "links": { "self": [ { "href": "http://link/to/project" } ] } } ], "start": 0 }''', content_type="application/json") def _mock_repos_rest_call(self): httpretty.register_uri(httpretty.GET, "http://localhost:7990/stash/rest/api/1.0/repos", responses=[ httpretty.Response(body='''{ "size": 1, "limit": 1, "isLastPage": false, "values": [ { "slug": "my-repo1", "id": 1, "name": "My repo 1", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "project": { "key": "PRJ", "id": 1, "name": "My Cool Project", "description": "The description for my cool project.", "public": true, "type": "NORMAL", "link": { "url": "http://link/to/project", "rel": "self" }, "links": { "self": [ { "href": "http://link/to/project" } ] } }, "public": false, "cloneUrl": "https://<baseURL>/scm/PRJ/my-repo1.git", "link": { "url": "http://link/to/repository", "rel": "self" }, "links": { "clone": [ { "href": "https://<baseURL>/scm/PRJ/my-repo1.git", "name": "http" }, { "href": "ssh://git@<baseURL>/PRJ/my-repo.git", "name": "ssh" } ], "self": [ { "href": "http://link/to/repository1", "rel": "self" } ] } } ], "start": 0, "nextPageStart": 1 }'''), httpretty.Response(body='''{ "size": 1, "limit": 1, "isLastPage": true, "values": [ { "slug": "my-repo2", "id": 1, "name": "My repo 2", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "origin": { "slug": "my-repo", "id": 1, "name": "My repo", "scmId": "git", "state": "AVAILABLE", "statusMessage": "Available", "forkable": true, "project": { "key": "PRJ", "id": 1, "name": "My Cool Project", "description": "The description for my cool project.", "public": true, "type": "NORMAL", "link": { "url": "http://link/to/project", "rel": "self" }, "links": { "self": [ { "href": "http://link/to/project" } ] } } }, "project": { "key": "PRJ", "id": 1, "name": "My Cool Project", "description": "The description for my cool project.", "public": true, "type": "NORMAL", "link": { "url": "http://link/to/project", "rel": "self" }, "links": { "self": [ { "href": "http://link/to/project" } ] } }, "public": true, "cloneUrl": "https://<baseURL>/scm/PRJ/my-repo2.git", "link": { "url": "http://link/to/repository", "rel": "self" }, "links": { "clone": [ { "href": "https://<baseURL>/scm/PRJ/my-repo2.git", "name": "http" }, { "href": "ssh://git@<baseURL>/PRJ/my-repo.git", "name": "ssh" } ], "self": [ { "href": "http://link/to/repository2", "rel": "self" } ] } } ], "start": 1 }''') ], content_type="application/json")

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260c6cec7aef768b4767a91da6c81d572acae7f8

245

py

Python

Ex0016/ex0016.py

Rodrigo-Antonio-Silva/ExerciciosPythonCursoemVideo

3b2d68094dd5d60f0e45a75590eb2be9be030640

[ "MIT" ]

null

Ex0016/ex0016.py

Rodrigo-Antonio-Silva/ExerciciosPythonCursoemVideo

3b2d68094dd5d60f0e45a75590eb2be9be030640

[ "MIT" ]

null

Ex0016/ex0016.py

Rodrigo-Antonio-Silva/ExerciciosPythonCursoemVideo

3b2d68094dd5d60f0e45a75590eb2be9be030640

[ "MIT" ]

null

"""from math import trunc r = float(input('Insira um número:')) print('A porção inteira de {} é: {}'.format(r, trunc(r))) print ('Fim')""" n = float(input('Insira um número: ')) print('A porção inteira de {} é {}. '.format(n, int(n)))

27.222222

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9

26166e7899f0ad87afd5dfcfac12063ddbf61837

140

py

Python

tests/chainerx_tests/unit_tests/test_core_module.py

zaltoprofen/chainer

3b03f9afc80fd67f65d5e0395ef199e9506b6ee1

[ "MIT" ]

3,705

2017-06-01T07:36:12.000Z

2022-03-30T10:46:15.000Z

tests/chainerx_tests/unit_tests/test_core_module.py

nolfwin/chainer

8d776fcc1e848cb9d3800a6aab356eb91ae9d088

[ "MIT" ]

5,998

2017-06-01T06:40:17.000Z

2022-03-08T01:42:44.000Z

tests/chainerx_tests/unit_tests/test_core_module.py

nolfwin/chainer

8d776fcc1e848cb9d3800a6aab356eb91ae9d088

[ "MIT" ]

1,150

2017-06-02T03:39:46.000Z

2022-03-29T02:29:32.000Z

import chainerx def test_core(): assert chainerx.__name__ == 'chainerx' def test_is_available(): assert chainerx.is_available()

14

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7

262e83be56cfa4c706565120e2c795a4e3e33dc3

141

py

Python

app/dummy.py

tyty999/py3startapp

199766f7b7a96fd16cb04a58eb381946337b568f

[ "MIT" ]

13

2018-10-10T03:31:13.000Z

2022-03-27T22:44:37.000Z

app/dummy.py

tyty999/py3startapp

199766f7b7a96fd16cb04a58eb381946337b568f

[ "MIT" ]

6

2019-11-16T17:11:27.000Z

2021-05-30T12:33:11.000Z

app/dummy.py

tyty999/py3startapp

199766f7b7a96fd16cb04a58eb381946337b568f

[ "MIT" ]

2

2020-10-02T07:01:12.000Z

2021-08-06T08:21:31.000Z

"""Dummy module. Dummy module to exercise unit test code. Replace this with actual application logic. """ def dummy(): return 'dummy'

14.1

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null

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1

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1

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7

26763e021ca6a1e35de4963bebcc8ee0296a2212

144

py

Python

wsgiproxy/__init__.py

vlcinsky/WSGIProxy2

dfabea6f9e8d3a026bbbe8f7c30b39dc6d3d26f6

[ "MIT" ]

6

2015-06-13T21:54:30.000Z

2020-08-14T17:54:25.000Z

wsgiproxy/__init__.py

vlcinsky/WSGIProxy2

dfabea6f9e8d3a026bbbe8f7c30b39dc6d3d26f6

[ "MIT" ]

14

2015-07-10T18:33:57.000Z

2021-08-19T17:18:26.000Z

wsgiproxy/__init__.py

vlcinsky/WSGIProxy2

dfabea6f9e8d3a026bbbe8f7c30b39dc6d3d26f6

[ "MIT" ]

15

2016-02-14T03:03:52.000Z

2021-08-19T06:44:27.000Z

# -*- coding: utf-8 -*- from .proxies import Proxy # NOQA from .proxies import HostProxy # NOQA from .proxies import TransparentProxy # NOQA

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cd11b3d492ccad25718074f25cdb8d75b861f9dd

15,404

py

Python

sdk/python/pulumi_azure/mssql/job_agent.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/mssql/job_agent.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/mssql/job_agent.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# 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__ = ['JobAgentArgs', 'JobAgent'] @pulumi.input_type class JobAgentArgs: def __init__(__self__, *, database_id: pulumi.Input[str], location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of arguments for constructing a JobAgent resource. :param pulumi.Input[str] database_id: The ID of the database to store metadata for the Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[str] location: The Azure Region where the Elastic Job Agent should exist. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[str] name: The name which should be used for this Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags which should be assigned to the Database. """ pulumi.set(__self__, "database_id", database_id) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="databaseId") def database_id(self) -> pulumi.Input[str]: """ The ID of the database to store metadata for the Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "database_id") @database_id.setter def database_id(self, value: pulumi.Input[str]): pulumi.set(self, "database_id", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ The Azure Region where the Elastic Job Agent should exist. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name which should be used for this Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags which should be assigned to the Database. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _JobAgentState: def __init__(__self__, *, database_id: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ Input properties used for looking up and filtering JobAgent resources. :param pulumi.Input[str] database_id: The ID of the database to store metadata for the Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[str] location: The Azure Region where the Elastic Job Agent should exist. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[str] name: The name which should be used for this Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags which should be assigned to the Database. """ if database_id is not None: pulumi.set(__self__, "database_id", database_id) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="databaseId") def database_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the database to store metadata for the Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "database_id") @database_id.setter def database_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "database_id", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ The Azure Region where the Elastic Job Agent should exist. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name which should be used for this Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags which should be assigned to the Database. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) class JobAgent(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, database_id: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): """ Manages an Elastic Job Agent. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="northeurope") example_server = azure.mssql.Server("exampleServer", resource_group_name=example_resource_group.name, location=example_resource_group.location, version="12.0", administrator_login="4dm1n157r470r", administrator_login_password="4-v3ry-53cr37-p455w0rd") example_database = azure.mssql.Database("exampleDatabase", server_id=example_server.id, collation="SQL_Latin1_General_CP1_CI_AS", sku_name="S1") example_job_agent = azure.mssql.JobAgent("exampleJobAgent", location=example_resource_group.location, database_id=example_database.id) ``` ## Import Elastic Job Agents can be imported using the `id`, e.g. ```sh $ pulumi import azure:mssql/jobAgent:JobAgent example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Sql/servers/myserver1/jobAgents/myjobagent1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] database_id: The ID of the database to store metadata for the Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[str] location: The Azure Region where the Elastic Job Agent should exist. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[str] name: The name which should be used for this Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags which should be assigned to the Database. """ ... @overload def __init__(__self__, resource_name: str, args: JobAgentArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages an Elastic Job Agent. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="northeurope") example_server = azure.mssql.Server("exampleServer", resource_group_name=example_resource_group.name, location=example_resource_group.location, version="12.0", administrator_login="4dm1n157r470r", administrator_login_password="4-v3ry-53cr37-p455w0rd") example_database = azure.mssql.Database("exampleDatabase", server_id=example_server.id, collation="SQL_Latin1_General_CP1_CI_AS", sku_name="S1") example_job_agent = azure.mssql.JobAgent("exampleJobAgent", location=example_resource_group.location, database_id=example_database.id) ``` ## Import Elastic Job Agents can be imported using the `id`, e.g. ```sh $ pulumi import azure:mssql/jobAgent:JobAgent example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Sql/servers/myserver1/jobAgents/myjobagent1 ``` :param str resource_name: The name of the resource. :param JobAgentArgs 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(JobAgentArgs, 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, database_id: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, 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__ = JobAgentArgs.__new__(JobAgentArgs) if database_id is None and not opts.urn: raise TypeError("Missing required property 'database_id'") __props__.__dict__["database_id"] = database_id __props__.__dict__["location"] = location __props__.__dict__["name"] = name __props__.__dict__["tags"] = tags super(JobAgent, __self__).__init__( 'azure:mssql/jobAgent:JobAgent', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, database_id: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'JobAgent': """ Get an existing JobAgent 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] database_id: The ID of the database to store metadata for the Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[str] location: The Azure Region where the Elastic Job Agent should exist. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[str] name: The name which should be used for this Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags which should be assigned to the Database. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _JobAgentState.__new__(_JobAgentState) __props__.__dict__["database_id"] = database_id __props__.__dict__["location"] = location __props__.__dict__["name"] = name __props__.__dict__["tags"] = tags return JobAgent(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="databaseId") def database_id(self) -> pulumi.Output[str]: """ The ID of the database to store metadata for the Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "database_id") @property @pulumi.getter def location(self) -> pulumi.Output[str]: """ The Azure Region where the Elastic Job Agent should exist. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "location") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name which should be used for this Elastic Job Agent. Changing this forces a new Elastic Job Agent to be created. """ return pulumi.get(self, "name") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ A mapping of tags which should be assigned to the Database. """ return pulumi.get(self, "tags")

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26e4ab674b7f6b44d484d06c661267ed7ce69d56

28,423

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Python

imaginaire/model_utils/gancraft/camctl.py

hw07216/imaginaire

87c774114622e39488a5ea8a7728b1a20896afb9

[ "RSA-MD" ]

3,308

2020-07-15T17:50:13.000Z

2022-03-31T14:53:31.000Z

imaginaire/model_utils/gancraft/camctl.py

hw07216/imaginaire

87c774114622e39488a5ea8a7728b1a20896afb9

[ "RSA-MD" ]

132

2020-09-20T17:36:28.000Z

2022-03-28T12:40:03.000Z

src/imaginaire/model_utils/gancraft/camctl.py

livingbio/imaginaire-fsvid2vid

d82c87aced50afd44fd162491ba5b59056b74034

[ "RSA-MD" ]

370

2020-09-29T00:34:08.000Z

2022-03-30T04:12:48.000Z

# Copyright (C) 2021 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # # This work is made available under the Nvidia Source Code License-NC. # To view a copy of this license, check out LICENSE.md import numpy as np import torch class EvalCameraController: def __init__(self, voxel, maxstep=128, pattern=0, cam_ang=73, smooth_decay_multiplier=1.0): self.voxel = voxel self.maxstep = maxstep self.camera_poses = [] # ori, dir, up, f circle = torch.linspace(0, 2*np.pi, steps=maxstep) size = min(voxel.voxel_t.size(1), voxel.voxel_t.size(2)) / 2 # Shrink the circle a bit. shift = size * 0.2 size = size * 0.8 if pattern == 0: height_history = [] # Calculate smooth height. for i in range(maxstep): farpoint = torch.tensor([ 70, torch.sin(circle[i])*size + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size + voxel.voxel_t.size(2)/2 + shift]) height_history.append(self._get_height(farpoint[1], farpoint[2], farpoint[0])) # Filtfilt height_history = self.filtfilt(height_history, decay=0.2*smooth_decay_multiplier) for i in range(maxstep): farpoint = torch.tensor([ 70, torch.sin(circle[i])*size + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = height_history[i] nearpoint = torch.tensor([ 60, torch.sin(circle[i]+0.5*np.pi)*size*0.5 + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]+0.5*np.pi)*size*0.5 + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(cam_ang/2)) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) elif pattern == 1: zoom = torch.linspace(1.0, 0.25, steps=maxstep) height_history = [] for i in range(maxstep): farpoint = torch.tensor([ 90, torch.sin(circle[i])*size + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size + voxel.voxel_t.size(2)/2 + shift]) height_history.append(self._get_height(farpoint[1], farpoint[2], farpoint[0])) height_history = self.filtfilt(height_history, decay=0.2*smooth_decay_multiplier) for i in range(maxstep): farpoint = torch.tensor([ 90, torch.sin(circle[i])*size + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = height_history[i] nearpoint = torch.tensor([ 60, torch.sin(circle[i]-0.3*np.pi)*size*0.3 + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]-0.3*np.pi)*size*0.3 + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(cam_ang/2)*zoom[i]) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) elif pattern == 2: move = torch.linspace(1.0, 0.2, steps=maxstep) height_history = [] for i in range(maxstep): farpoint = torch.tensor([ 90, torch.sin(circle[i])*size*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size*move[i] + voxel.voxel_t.size(2)/2 + shift]) height_history.append(self._get_height(farpoint[1], farpoint[2], farpoint[0])) height_history = self.filtfilt(height_history, decay=0.2*smooth_decay_multiplier) for i in range(maxstep): farpoint = torch.tensor([ 90, torch.sin(circle[i])*size*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size*move[i] + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = height_history[i] nearpoint = torch.tensor([ 60, torch.sin(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(cam_ang/2)) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) elif pattern == 3: move = torch.linspace(0.75, 0.2, steps=maxstep) height_history = [] for i in range(maxstep): farpoint = torch.tensor([ 70, torch.sin(-circle[i])*size*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(-circle[i])*size*move[i] + voxel.voxel_t.size(2)/2 + shift]) height_history.append(self._get_height(farpoint[1], farpoint[2], farpoint[0])) height_history = self.filtfilt(height_history, decay=0.2*smooth_decay_multiplier) for i in range(maxstep): farpoint = torch.tensor([ 70, torch.sin(-circle[i])*size*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(-circle[i])*size*move[i] + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = height_history[i] nearpoint = torch.tensor([ 60, torch.sin(-circle[i]-0.4*np.pi)*size*0.9*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(-circle[i]-0.4*np.pi)*size*0.9*move[i] + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(cam_ang/2)) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) elif pattern == 4: move = torch.linspace(1.0, 0.5, steps=maxstep) height_history = [] for i in range(maxstep): farpoint = torch.tensor([ 90, torch.sin(circle[i])*size*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size*move[i] + voxel.voxel_t.size(2)/2 + shift]) height_history.append(self._get_height(farpoint[1], farpoint[2], farpoint[0])) height_history = self.filtfilt(height_history, decay=0.2*smooth_decay_multiplier) for i in range(maxstep): farpoint = torch.tensor([ 90, torch.sin(circle[i])*size*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size*move[i] + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = height_history[i] nearpoint = torch.tensor([ 60, torch.sin(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(cam_ang/2)) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) # look outward elif pattern == 5: move = torch.linspace(1.0, 0.5, steps=maxstep) height_history = [] for i in range(maxstep): nearpoint = torch.tensor([ 60, torch.sin(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(2)/2 + shift]) height_history.append(self._get_height(nearpoint[1], nearpoint[2], nearpoint[0])) height_history = self.filtfilt(height_history, decay=0.2*smooth_decay_multiplier) for i in range(maxstep): nearpoint = torch.tensor([ 60, torch.sin(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(2)/2 + shift]) nearpoint[0] = height_history[i] farpoint = torch.tensor([ 60, torch.sin(circle[i])*size*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size*move[i] + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(nearpoint) cam_dir = self.voxel.world2local(farpoint - nearpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(cam_ang/2)) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) # Rise elif pattern == 6: shift = 0 lift = torch.linspace(0.0, 200.0, steps=maxstep) zoom = torch.linspace(0.8, 1.6, steps=maxstep) for i in range(maxstep): farpoint = torch.tensor([ 80+lift[i], torch.sin(circle[i]/4)*size*0.2 + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]/4)*size*0.2 + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = self._get_height(farpoint[1], farpoint[2], farpoint[0]) nearpoint = torch.tensor([ 65, torch.sin(circle[i]/4+0.5*np.pi)*size*0.1 + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]/4+0.5*np.pi)*size*0.1 + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(73/2)*zoom[i]) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) # 45deg elif pattern == 7: rad = torch.tensor([np.deg2rad(45).astype(np.float32)]) size = 1536 for i in range(maxstep): farpoint = torch.tensor([ 61+size, torch.sin(rad)*size + voxel.voxel_t.size(1)/2, torch.cos(rad)*size + voxel.voxel_t.size(2)/2]) nearpoint = torch.tensor([ 61, voxel.voxel_t.size(1)/2, voxel.voxel_t.size(2)/2]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(19.5/2)) # about 50mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) def _get_height(self, loc0, loc1, minheight): loc0 = int(loc0) loc1 = int(loc1) height = minheight for dx in range(-3, 4): for dy in range(-3, 4): if (loc0+dx) < 0 or (loc0+dx) >= self.voxel.heightmap.shape[0] or (loc1+dy) < 0 or \ (loc1+dy) >= self.voxel.heightmap.shape[1]: height = max(height, minheight) else: height = max(height, self.voxel.heightmap[loc0+dx, loc1+dy] + 2) return height def filtfilt(self, height_history, decay=0.2): # Filtfilt height_history2 = [] maxstep = len(height_history) prev_height = height_history[0] for i in range(maxstep): prev_height = prev_height - decay if prev_height < height_history[i]: prev_height = height_history[i] height_history2.append(prev_height) prev_height = height_history[-1] for i in range(maxstep-1, -1, -1): prev_height = prev_height - decay if prev_height < height_history[i]: prev_height = height_history[i] height_history2[i] = max(prev_height, height_history2[i]) return height_history2 def __len__(self): return len(self.camera_poses) def __getitem__(self, idx): return self.camera_poses[idx] class TourCameraController: def __init__(self, voxel, maxstep=128): self.voxel = voxel self.maxstep = maxstep self.camera_poses = [] # ori, dir, up, f circle = torch.linspace(0, 2*np.pi, steps=maxstep//4) size = min(voxel.voxel_t.size(1), voxel.voxel_t.size(2)) / 2 # Shrink the circle a bit shift = size * 0.2 size = size * 0.8 for i in range(maxstep//4): farpoint = torch.tensor([ 70, torch.sin(circle[i])*size + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = self._get_height(farpoint[1], farpoint[2], farpoint[0]) nearpoint = torch.tensor([ 60, torch.sin(circle[i]+0.5*np.pi)*size*0.5 + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]+0.5*np.pi)*size*0.5 + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(73/2)) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) zoom = torch.linspace(1.0, 0.25, steps=maxstep//4) for i in range(maxstep//4): farpoint = torch.tensor([ 90, torch.sin(circle[i])*size + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = self._get_height(farpoint[1], farpoint[2], farpoint[0]) nearpoint = torch.tensor([ 60, torch.sin(circle[i]-0.3*np.pi)*size*0.3 + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]-0.3*np.pi)*size*0.3 + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(73/2)*zoom[i]) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) move = torch.linspace(1.0, 0.2, steps=maxstep//4) for i in range(maxstep//4): farpoint = torch.tensor([ 90, torch.sin(circle[i])*size*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size*move[i] + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = self._get_height(farpoint[1], farpoint[2], farpoint[0]) nearpoint = torch.tensor([ 60, torch.sin(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]+0.5*np.pi)*size*0.3*move[i] + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(73/2)) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) lift = torch.linspace(0.0, 200.0, steps=maxstep//4) zoom = torch.linspace(0.6, 1.2, steps=maxstep//4) for i in range(maxstep//4): farpoint = torch.tensor([ 80+lift[i], torch.sin(circle[i])*size*0.2 + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i])*size*0.2 + voxel.voxel_t.size(2)/2 + shift]) farpoint[0] = self._get_height(farpoint[1], farpoint[2], farpoint[0]) nearpoint = torch.tensor([ 60, torch.sin(circle[i]+0.5*np.pi)*size*0.1 + voxel.voxel_t.size(1)/2 + shift, torch.cos(circle[i]+0.5*np.pi)*size*0.1 + voxel.voxel_t.size(2)/2 + shift]) cam_ori = self.voxel.world2local(farpoint) cam_dir = self.voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = self.voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(73/2)*zoom[i]) # about 24mm fov self.camera_poses.append((cam_ori, cam_dir, cam_up, cam_f)) def _get_height(self, loc0, loc1, minheight): loc0 = int(loc0) loc1 = int(loc1) height = minheight for dx in range(-3, 4): for dy in range(-3, 4): if (loc0+dx) < 0 or (loc0+dx) >= self.voxel.heightmap.shape[0] or (loc1+dy) < 0 or \ (loc1+dy) >= self.voxel.heightmap.shape[1]: height = max(height, minheight) else: height = max(height, self.voxel.heightmap[loc0+dx, loc1+dy] + 2) return height def __len__(self): return len(self.camera_poses) def __getitem__(self, idx): return self.camera_poses[idx] def rand_camera_pose_birdseye(voxel, border=128): r"""Generating random camera pose in the upper hemisphere, in the format of origin-direction-up Assuming [Y X Z] coordinate. Y is negative gravity direction. The camera pose is converted into the voxel coordinate system so that it can be used directly for rendering 1. Uniformly sample a point on the upper hemisphere of a unit sphere, as cam_ori. 2. Set cam_dir to be from cam_ori to the origin 3. cam_up is always pointing towards sky 4. move cam_ori to random place according to voxel size """ cam_dir = torch.randn(3, dtype=torch.float32) cam_dir = cam_dir / torch.sqrt(torch.sum(cam_dir*cam_dir)) cam_dir[0] = -torch.abs(cam_dir[0]) cam_up = torch.tensor([1, 0, 0], dtype=torch.float32) # generate camera lookat target r = np.random.rand(2) r[0] *= voxel.voxel_t.size(1)-border-border r[1] *= voxel.voxel_t.size(2)-border-border r = r + border y = voxel.heightmap[int(r[0]+0.5), int(r[1]+0.5)] + (np.random.rand(1)-0.5) * 5 cam_target = torch.tensor([y, r[0], r[1]], dtype=torch.float32) cam_ori = cam_target - cam_dir * (np.random.rand(1).item() * 100) cam_ori[0] = max(voxel.heightmap[int(cam_ori[1]+0.5), int(cam_ori[2]+0.5)]+2, cam_ori[0]) # Translate to voxel coordinate cam_ori = voxel.world2local(cam_ori) cam_dir = voxel.world2local(cam_dir, is_vec=True) cam_up = voxel.world2local(cam_up, is_vec=True) return cam_ori, cam_dir, cam_up def get_neighbor_height(heightmap, loc0, loc1, minheight, neighbor_size=7): loc0 = int(loc0) loc1 = int(loc1) height = 0 for dx in range(-neighbor_size//2, neighbor_size//2+1): for dy in range(-neighbor_size//2, neighbor_size//2+1): if (loc0+dx) < 0 or (loc0+dx) >= heightmap.shape[0] or (loc1+dy) < 0 or (loc1+dy) >= heightmap.shape[1]: height = max(height, minheight) else: height = max(minheight, heightmap[loc0+dx, loc1+dy] + 2) return height def rand_camera_pose_firstperson(voxel, border=128): r"""Generating random camera pose in the upper hemisphere, in the format of origin-direction-up """ r = np.random.rand(5) r[0] *= voxel.voxel_t.size(1)-border-border r[1] *= voxel.voxel_t.size(2)-border-border r[0] = r[0] + border r[1] = r[1] + border y = get_neighbor_height(voxel.heightmap, r[0], r[1], 0) + np.random.rand(1) * 15 cam_ori = torch.tensor([y, r[0], r[1]], dtype=torch.float32) rand_ang_h = r[2] * 2 * np.pi cam_target = torch.tensor([0, cam_ori[1]+np.sin(rand_ang_h)*border*r[4], cam_ori[2] + np.cos(rand_ang_h)*border*r[4]], dtype=torch.float32) cam_target[0] = get_neighbor_height(voxel.heightmap, cam_target[1], cam_target[2], 0, neighbor_size=1) - 2 + r[3] * 10 cam_dir = cam_target - cam_ori cam_up = torch.tensor([1, 0, 0], dtype=torch.float32) cam_ori = voxel.world2local(cam_ori) cam_dir = voxel.world2local(cam_dir, is_vec=True) cam_up = voxel.world2local(cam_up, is_vec=True) return cam_ori, cam_dir, cam_up def rand_camera_pose_thridperson(voxel, border=96): r = torch.rand(2) r[0] *= voxel.voxel_t.size(1) r[1] *= voxel.voxel_t.size(2) rand_height = 60 + torch.rand(1) * 40 rand_height = get_neighbor_height(voxel.heightmap, r[0], r[1], rand_height, neighbor_size=5) farpoint = torch.tensor([rand_height, r[0], r[1]], dtype=torch.float32) r = torch.rand(2) r[0] *= voxel.voxel_t.size(1) - border - border r[1] *= voxel.voxel_t.size(2) - border - border r[0] = r[0] + border r[1] = r[1] + border rand_height = get_neighbor_height(voxel.heightmap, r[0], r[1], 65, neighbor_size=1) - 5 nearpoint = torch.tensor([rand_height, r[0], r[1]], dtype=torch.float32) cam_ori = voxel.world2local(farpoint) cam_dir = voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = voxel.world2local(torch.tensor([1, 0, 0], dtype=torch.float32), is_vec=True) return cam_ori, cam_dir, cam_up def rand_camera_pose_thridperson2(voxel, border=48): r = torch.rand(2) r[0] *= voxel.voxel_t.size(1) - border - border r[1] *= voxel.voxel_t.size(2) - border - border r[0] = r[0] + border r[1] = r[1] + border rand_height = 60 + torch.rand(1) * 40 rand_height = get_neighbor_height(voxel.heightmap, r[0], r[1], rand_height, neighbor_size=5) farpoint = torch.tensor([rand_height, r[0], r[1]], dtype=torch.float32) r = torch.rand(2) r[0] *= voxel.voxel_t.size(1) - border - border r[1] *= voxel.voxel_t.size(2) - border - border r[0] = r[0] + border r[1] = r[1] + border rand_height = get_neighbor_height(voxel.heightmap, r[0], r[1], 65, neighbor_size=1) - 5 nearpoint = torch.tensor([rand_height, r[0], r[1]], dtype=torch.float32) # Random Up vector (tilt a little bit) # up = torch.randn(3) * 0.05 # cutoff +-0.1, Tan(10deg) = 0.176 up = torch.randn(3) * 0.02 up[0] = 1.0 up = up / up.norm(p=2) cam_ori = voxel.world2local(farpoint) cam_dir = voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = voxel.world2local(up, is_vec=True) return cam_ori, cam_dir, cam_up def rand_camera_pose_thridperson3(voxel, border=64): r"""Attempting to solve the camera too close to wall problem and the lack of aerial poses.""" r = torch.rand(2) r[0] *= voxel.voxel_t.size(1) - border - border r[1] *= voxel.voxel_t.size(2) - border - border r[0] = r[0] + border r[1] = r[1] + border rand_height = 60 + torch.rand(1) * 40 if torch.rand(1) > 0.8: rand_height = 60 + torch.rand(1) * 60 rand_height = get_neighbor_height(voxel.heightmap, r[0], r[1], rand_height, neighbor_size=7) farpoint = torch.tensor([rand_height, r[0], r[1]], dtype=torch.float32) r = torch.rand(2) r[0] *= voxel.voxel_t.size(1) - border - border r[1] *= voxel.voxel_t.size(2) - border - border r[0] = r[0] + border r[1] = r[1] + border rand_height = get_neighbor_height(voxel.heightmap, r[0], r[1], 65, neighbor_size=3) - 5 nearpoint = torch.tensor([rand_height, r[0], r[1]], dtype=torch.float32) # Random Up vector (tilt a little bit) # up = torch.randn(3) * 0.05 # cutoff +-0.1, Tan(10deg) = 0.176 up = torch.randn(3) * 0.02 up[0] = 1.0 up = up / up.norm(p=2) # print(up) cam_ori = voxel.world2local(farpoint) cam_dir = voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = voxel.world2local(up, is_vec=True) return cam_ori, cam_dir, cam_up def rand_camera_pose_tour(voxel): size = min(voxel.voxel_t.size(1), voxel.voxel_t.size(2)) / 2 center = [voxel.voxel_t.size(1)/2, voxel.voxel_t.size(2)/2] rnd = torch.rand(8) rnd_deg = torch.rand(1) * 2 * np.pi far_radius = rnd[0]*0.8+0.2 far_height = rnd[1]*30 + 60 farpoint = torch.tensor([ far_height, torch.sin(rnd_deg)*size*far_radius + center[0], torch.cos(rnd_deg)*size*far_radius + center[1]]) farpoint[0] = get_neighbor_height(voxel.heightmap, farpoint[1], farpoint[2], farpoint[0], neighbor_size=7) near_radius = far_radius * rnd[2] near_shift_rad = np.pi*(rnd[3]-0.5) near_height = 60 + rnd[4] * 10 nearpoint = torch.tensor([ near_height, torch.sin(rnd_deg+near_shift_rad)*size*near_radius + center[0], torch.cos(rnd_deg+near_shift_rad)*size*near_radius + center[1]]) # Random Up vector (tilt a little bit) # up = torch.randn(3) * 0.05 # cutoff +-0.1, Tan(10deg) = 0.176 up = torch.randn(3) * 0.02 up[0] = 1.0 up = up / up.norm(p=2) cam_ori = voxel.world2local(farpoint) cam_dir = voxel.world2local(nearpoint - farpoint, is_vec=True) cam_up = voxel.world2local(up, is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(73/2)*(rnd[5]*0.75+0.25)) # about 24mm fov return cam_ori, cam_dir, cam_up, cam_f # Look from center to outward def rand_camera_pose_insideout(voxel): size = min(voxel.voxel_t.size(1), voxel.voxel_t.size(2)) / 2 center = [voxel.voxel_t.size(1)/2, voxel.voxel_t.size(2)/2] rnd = torch.rand(8) rnd_deg = torch.rand(1) * 2 * np.pi far_radius = rnd[0]*0.8+0.2 far_height = rnd[1]*10 + 60 farpoint = torch.tensor([ far_height, torch.sin(rnd_deg)*size*far_radius + center[0], torch.cos(rnd_deg)*size*far_radius + center[1]]) near_radius = far_radius * rnd[2] near_shift_rad = np.pi*(rnd[3]-0.5) near_height = 60 + rnd[4] * 30 nearpoint = torch.tensor([ near_height, torch.sin(rnd_deg+near_shift_rad)*size*near_radius + center[0], torch.cos(rnd_deg+near_shift_rad)*size*near_radius + center[1]]) nearpoint[0] = get_neighbor_height(voxel.heightmap, nearpoint[1], nearpoint[2], nearpoint[0], neighbor_size=7) # Random Up vector (tilt a little bit) # up = torch.randn(3) * 0.05 # cutoff +-0.1, Tan(10deg) = 0.176 up = torch.randn(3) * 0.02 up[0] = 1.0 up = up / up.norm(p=2) cam_ori = voxel.world2local(nearpoint) cam_dir = voxel.world2local(farpoint-nearpoint, is_vec=True) cam_up = voxel.world2local(up, is_vec=True) cam_f = 0.5/np.tan(np.deg2rad(73/2)*(rnd[5]*0.75+0.25)) # about 24mm fov return cam_ori, cam_dir, cam_up, cam_f

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3e357e83e2f151efde9f4e9dc28165490eb87b5a

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py

Python

pytorch_image_classification/datasets/__init__.py

doulemint/pytorch_image_classification

3553295218b30775272027b8234bb8a2276af30f

[ "MIT" ]

1

2021-08-25T03:07:48.000Z

pytorch_image_classification/datasets/__init__.py

doulemint/pytorch_image_classification

3553295218b30775272027b8234bb8a2276af30f

[ "MIT" ]

null

pytorch_image_classification/datasets/__init__.py

doulemint/pytorch_image_classification

3553295218b30775272027b8234bb8a2276af30f

[ "MIT" ]

null

from .datasets import create_dataset, MyDataset from .dataloader import create_dataloader from .dataloader import prepare_dataloader,worker_init_fn from .datasets import get_files from .datasets import create_dataset, MyDataset,pesudoMyDataset from .dataloader import create_dataloader from .dataloader import prepare_dataloader, worker_init_fn from .datasets import get_files

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