hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ad7bbcce2767d6667164e36024410cd70f17e84f
| 5,080
|
py
|
Python
|
src/Databricks/Mockups/Rental_Store Mockup.py
|
mattblasa/DVD-Store-Data-Modeling
|
e4aa66ffb1c21e25e7875429735006e3f65f9142
|
[
"MIT"
] | null | null | null |
src/Databricks/Mockups/Rental_Store Mockup.py
|
mattblasa/DVD-Store-Data-Modeling
|
e4aa66ffb1c21e25e7875429735006e3f65f9142
|
[
"MIT"
] | null | null | null |
src/Databricks/Mockups/Rental_Store Mockup.py
|
mattblasa/DVD-Store-Data-Modeling
|
e4aa66ffb1c21e25e7875429735006e3f65f9142
|
[
"MIT"
] | null | null | null |
# Databricks notebook source
# MAGIC %run /Users/blasa.matthew_yahoo.com#ext#@blasamatthewyahoo.onmicrosoft.com/utils/mount
# COMMAND ----------
# COMMAND ----------
# MAGIC %sql
# MAGIC SELECT *
# MAGIC FROM dvd_objects.store
# COMMAND ----------
# MAGIC %sql
# MAGIC WITH store_add AS (
# MAGIC SELECT s.store_id
# MAGIC , s.manager_staff_id
# MAGIC , s.address_id
# MAGIC , a.city_id
# MAGIC , a.address
# MAGIC , a.address2
# MAGIC , a.district
# MAGIC , a.postal_code
# MAGIC , a.phone
# MAGIC FROM dvd_objects.store as s
# MAGIC LEFT JOIN dvd_objects.address as a
# MAGIC ON s.address_id = a.address_id
# MAGIC )
# MAGIC
# MAGIC
# MAGIC SELECT sa.store_id
# MAGIC ,sa.manager_staff_id
# MAGIC ,sa.address
# MAGIC ,c.city
# MAGIC ,sa.address2
# MAGIC ,sa.district
# MAGIC ,sa.postal_code
# MAGIC ,sa.phone
# MAGIC ,cc.country
# MAGIC FROM store_add as sa
# MAGIC LEFT JOIN dvd_objects.city as c
# MAGIC ON c.city_id = sa.city_id
# MAGIC LEFT JOIN dvd_objects.country as cc
# MAGIC ON c.country_id = cc.country_id;
# COMMAND ----------
# MAGIC %sql
# MAGIC WITH store_add AS (
# MAGIC SELECT s.store_id
# MAGIC , s.manager_staff_id
# MAGIC , s.address_id
# MAGIC , a.city_id
# MAGIC , a.address
# MAGIC , a.address2
# MAGIC , a.district
# MAGIC , a.postal_code
# MAGIC , a.phone
# MAGIC FROM dvd_objects.store as s
# MAGIC LEFT JOIN dvd_objects.address as a
# MAGIC ON s.address_id = a.address_id
# MAGIC )
# MAGIC
# MAGIC SELECT *
# MAGIC FROM store_add as sa
# MAGIC LEFT JOIN dvd_objects.staff sf
# MAGIC ON sa.store_id = sf.store_id
# COMMAND ----------
# DBTITLE 1,Count Number of Employees Per Store
# MAGIC %sql
# MAGIC WITH store_add AS (
# MAGIC SELECT s.store_id
# MAGIC , s.manager_staff_id
# MAGIC , s.address_id
# MAGIC , a.city_id
# MAGIC , a.address
# MAGIC , a.address2
# MAGIC , a.district
# MAGIC , a.postal_code
# MAGIC , a.phone
# MAGIC FROM dvd_objects.store as s
# MAGIC LEFT JOIN dvd_objects.address as a
# MAGIC ON s.address_id = a.address_id
# MAGIC )
# MAGIC
# MAGIC SELECT sa.store_id as store_id
# MAGIC ,COUNT(sf.staff_id) as total_staff
# MAGIC ,COUNT( DISTINCT sa.manager_staff_id) as total_supervisors
# MAGIC FROM store_add as sa
# MAGIC LEFT JOIN dvd_objects.staff sf
# MAGIC ON sa.store_id = sf.store_id
# MAGIC GROUP BY sa.store_id
# MAGIC ORDER BY COUNT(sf.staff_id);
# COMMAND ----------
# MAGIC %sql
# MAGIC WITH store_add AS (
# MAGIC SELECT s.store_id
# MAGIC , s.manager_staff_id
# MAGIC , s.address_id
# MAGIC , a.city_id
# MAGIC , a.address
# MAGIC , a.address2
# MAGIC , a.district
# MAGIC , a.postal_code
# MAGIC , a.phone
# MAGIC FROM dvd_objects.store as s
# MAGIC LEFT JOIN dvd_objects.address as a
# MAGIC ON s.address_id = a.address_id
# MAGIC )
# MAGIC
# MAGIC SELECT DISTINCT sa.store_id
# MAGIC ,sa.manager_staff_id
# MAGIC ,sa.address
# MAGIC ,c.city
# MAGIC ,sa.address2
# MAGIC ,sa.district
# MAGIC ,sa.postal_code
# MAGIC ,sa.phone
# MAGIC ,cc.country
# MAGIC --,sf.staff_id
# MAGIC FROM store_add as sa
# MAGIC LEFT JOIN dvd_objects.city as c
# MAGIC ON c.city_id = sa.city_id
# MAGIC LEFT JOIN dvd_objects.country as cc
# MAGIC ON c.country_id = cc.country_id
# MAGIC LEFT JOIN dvd_objects.staff sf
# MAGIC ON sa.store_id = sf.store_id
# COMMAND ----------
# DBTITLE 1,Store and Address
rental_store = spark.sql('''
SELECT s.store_id
, s.manager_staff_id
, s.address_id
, a.city_id
, a.address
, a.address2
, a.district
, a.postal_code
, a.phone
FROM dvd_objects.store as s
LEFT JOIN dvd_objects.address as a
ON s.address_id = a.address_id
''')
rental_store.createOrReplaceTempView('store_address')
# COMMAND ----------
# DBTITLE 1,Rental_Store
rental_store2 = spark.sql('''
SELECT sa.store_id
,sa.manager_staff_id
,sa.address
,c.city
,sa.address2
,sa.district
,sa.postal_code
,sa.phone
,cc.country
FROM store_address as sa
LEFT JOIN dvd_objects.city as c
ON c.city_id = sa.city_id
LEFT JOIN dvd_objects.country as cc
ON c.country_id = cc.country_id;
''')
rental_store2.createOrReplaceTempView('rental_store')
# COMMAND ----------
# MAGIC %sql
# MAGIC SELECT *
# MAGIC FROM rental_store
# COMMAND ----------
spark.sql('''
CREATE DATABASE IF NOT EXISTS dvd_objects
''')
# COMMAND ----------
rental_store.write.mode("overwrite").saveAsTable("test_db.rental_store")
# COMMAND ----------
spark.sql('''
CREATE OR REPLACE table test_db.rental_store AS
WITH store_add AS (
SELECT s.store_id
, s.manager_staff_id
, s.address_id
, a.city_id
, a.address
, a.address2
, a.district
, a.postal_code
, a.phone
FROM dvd_objects.store as s
LEFT JOIN dvd_objects.address as a
ON s.address_id = a.address_id
)
SELECT DISTINCT sa.store_id
,sa.manager_staff_id
,sa.address
,c.city
,sa.address2
,sa.district
,sa.postal_code
,sa.phone
,cc.country
--,sf.staff_id
FROM store_add as sa
LEFT JOIN dvd_objects.city as c
ON c.city_id = sa.city_id
LEFT JOIN dvd_objects.country as cc
ON c.country_id = cc.country_id
LEFT JOIN dvd_objects.staff sf
ON sa.store_id = sf.store_id
''')
| 22.086957
| 95
| 0.701772
| 841
| 5,080
| 4.060642
| 0.091558
| 0.063543
| 0.05798
| 0.094876
| 0.821083
| 0.805271
| 0.779209
| 0.746999
| 0.746999
| 0.746999
| 0
| 0.003585
| 0.176378
| 5,080
| 229
| 96
| 22.183406
| 0.81262
| 0.641142
| 0
| 0.742857
| 0
| 0
| 0.77087
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
ad94048b33fff4cb23a900f11120aecab9904238
| 7,814
|
py
|
Python
|
tests/test.py
|
hive-nuclei/hive-nuclei
|
b732148f963a2685dea91262ef2b55ac61c0979f
|
[
"MIT"
] | 5
|
2021-06-14T15:05:18.000Z
|
2022-03-11T07:28:13.000Z
|
tests/test.py
|
hive-nuclei/hive-nuclei
|
b732148f963a2685dea91262ef2b55ac61c0979f
|
[
"MIT"
] | null | null | null |
tests/test.py
|
hive-nuclei/hive-nuclei
|
b732148f963a2685dea91262ef2b55ac61c0979f
|
[
"MIT"
] | 2
|
2021-07-01T17:00:51.000Z
|
2021-11-16T05:20:11.000Z
|
# Description
"""
Unit tests for Hive Nuclei connector
Author: Vladimir Ivanov
License: MIT
Copyright 2021, Hive Nuclei connector
"""
# Import
from unittest import TestCase
from test_variables import HiveVariables
from hive_library import HiveLibrary
from hive_library.rest import HiveRestApi
from hive_nuclei import HiveNuclei
from typing import Optional, List
from time import sleep
# Authorship information
__author__ = "Vladimir Ivanov"
__copyright__ = "Copyright 2021, Hive Nuclei connector"
__credits__ = [""]
__license__ = "MIT"
__version__ = "0.0.2"
__maintainer__ = "Vladimir Ivanov"
__email__ = "ivanov.vladimir.mail@gmail.com"
__status__ = "Development"
# Global variables
variables: HiveVariables = HiveVariables()
hive_api: HiveRestApi = HiveRestApi(
username=variables.username,
password=variables.password,
cookie=variables.cookie,
server=variables.server,
proxy=variables.proxy,
debug=True,
)
# Class MsfNucleiTest
class HiveNucleiTest(TestCase):
# Parse console output
def test01_parse_console_output(self):
hive_api.delete_project_by_name(variables.project.name)
variables.project = hive_api.create_project(project=variables.project)
self.assertIsNotNone(variables.project)
project_id = hive_api.get_project_id_by_name(
project_name=variables.project.name
)
self.assertIsNotNone(project_id)
self.assertEqual(variables.project.id, project_id)
hive_nuclei: HiveNuclei = HiveNuclei(
username=variables.username,
password=variables.password,
server=variables.server,
proxy=variables.proxy,
project_id=variables.project.id,
host_tag=variables.host_tag.name,
port_tag=variables.port_tag.name,
resolve=True,
)
with open(variables.console_output_file, "r") as console_output_file:
nuclei_lines: str = console_output_file.read()
created_hosts: Optional[
List[HiveLibrary.Host]
] = hive_nuclei.parse_nuclei_console_output(lines=nuclei_lines)
self.assertIsInstance(created_hosts, List)
self.assertGreater(len(created_hosts), 0)
self.assertIsInstance(created_hosts[0], HiveLibrary.Host)
created_host: HiveLibrary.Host = created_hosts[0]
sleep(10)
existing_hosts: Optional[List[HiveLibrary.Host]] = hive_api.get_hosts(
project_id=variables.project.id
)
self.assertIsInstance(existing_hosts, List)
self.assertGreater(len(existing_hosts), 0)
self.assertIsInstance(existing_hosts[0], HiveLibrary.Host)
existing_host: HiveLibrary.Host = existing_hosts[0]
self.assertEqual(created_host.ip, existing_host.ip)
self.assertEqual(
created_host.names[0].hostname, existing_host.names[0].hostname
)
self.assertEqual(created_host.tags[0].name, existing_host.tags[0].name)
self.assertEqual(created_host.ports[0].port, existing_host.ports[0].port)
self.assertEqual(
created_host.ports[0].tags[0].name, existing_host.ports[0].tags[0].name
)
hive_api.delete_project_by_name(variables.project.name)
# Parse json output
def test02_parse_json_output(self):
hive_api.delete_project_by_name(variables.project.name)
variables.project = hive_api.create_project(project=variables.project)
self.assertIsNotNone(variables.project)
project_id = hive_api.get_project_id_by_name(
project_name=variables.project.name
)
self.assertIsNotNone(project_id)
self.assertEqual(variables.project.id, project_id)
hive_nuclei: HiveNuclei = HiveNuclei(
username=variables.username,
password=variables.password,
server=variables.server,
proxy=variables.proxy,
project_id=variables.project.id,
host_tag=variables.host_tag.name,
port_tag=variables.port_tag.name,
resolve=True,
)
with open(variables.json_output_file, "r") as json_output_file:
nuclei_lines: str = json_output_file.read()
created_hosts: Optional[
List[HiveLibrary.Host]
] = hive_nuclei.parse_nuclei_json_output(lines=nuclei_lines)
self.assertIsInstance(created_hosts, List)
self.assertGreater(len(created_hosts), 0)
self.assertIsInstance(created_hosts[0], HiveLibrary.Host)
created_host: HiveLibrary.Host = created_hosts[0]
sleep(10)
existing_hosts: Optional[List[HiveLibrary.Host]] = hive_api.get_hosts(
project_id=variables.project.id
)
self.assertIsInstance(existing_hosts, List)
self.assertGreater(len(existing_hosts), 0)
self.assertIsInstance(existing_hosts[0], HiveLibrary.Host)
existing_host: HiveLibrary.Host = existing_hosts[0]
self.assertEqual(created_host.ip, existing_host.ip)
self.assertEqual(
created_host.names[0].hostname, existing_host.names[0].hostname
)
self.assertEqual(created_host.tags[0].name, existing_host.tags[0].name)
self.assertEqual(created_host.ports[0].port, existing_host.ports[0].port)
self.assertEqual(
created_host.ports[0].tags[0].name, existing_host.ports[0].tags[0].name
)
hive_api.delete_project_by_name(variables.project.name)
# Parse console output auto_tag
def test03_parse_console_output_auto_tag(self):
hive_api.delete_project_by_name(variables.project.name)
variables.project = hive_api.create_project(project=variables.project)
self.assertIsNotNone(variables.project)
project_id = hive_api.get_project_id_by_name(
project_name=variables.project.name
)
self.assertIsNotNone(project_id)
self.assertEqual(variables.project.id, project_id)
hive_nuclei: HiveNuclei = HiveNuclei(
username=variables.username,
password=variables.password,
server=variables.server,
proxy=variables.proxy,
project_id=variables.project.id,
auto_tag=True,
resolve=True,
)
with open(variables.console_output_file, "r") as console_output_file:
nuclei_lines: str = console_output_file.read()
created_hosts: Optional[
List[HiveLibrary.Host]
] = hive_nuclei.parse_nuclei_console_output(lines=nuclei_lines)
self.assertIsInstance(created_hosts, List)
self.assertGreater(len(created_hosts), 0)
self.assertIsInstance(created_hosts[0], HiveLibrary.Host)
created_host: HiveLibrary.Host = created_hosts[0]
sleep(10)
existing_hosts: Optional[List[HiveLibrary.Host]] = hive_api.get_hosts(
project_id=variables.project.id
)
self.assertIsInstance(existing_hosts, List)
self.assertGreater(len(existing_hosts), 0)
self.assertIsInstance(existing_hosts[0], HiveLibrary.Host)
existing_host: HiveLibrary.Host = existing_hosts[0]
self.assertEqual(created_host.ip, existing_host.ip)
self.assertEqual(
created_host.names[0].hostname, existing_host.names[0].hostname
)
self.assertEqual(created_host.tags[0].name, "nuclei_info")
self.assertEqual(created_host.tags[0].name, existing_host.tags[0].name)
self.assertEqual(created_host.ports[0].port, existing_host.ports[0].port)
self.assertEqual(created_host.ports[0].tags[0].name, "nuclei_info")
self.assertEqual(
created_host.ports[0].tags[0].name, existing_host.ports[0].tags[0].name
)
hive_api.delete_project_by_name(variables.project.name)
| 41.786096
| 83
| 0.690427
| 907
| 7,814
| 5.687982
| 0.110254
| 0.083737
| 0.072495
| 0.085676
| 0.863539
| 0.837759
| 0.820314
| 0.820314
| 0.820314
| 0.816437
| 0
| 0.012076
| 0.215767
| 7,814
| 186
| 84
| 42.010753
| 0.829798
| 0.033274
| 0
| 0.72561
| 0
| 0
| 0.018703
| 0.003979
| 0
| 0
| 0
| 0
| 0.268293
| 1
| 0.018293
| false
| 0.02439
| 0.042683
| 0
| 0.067073
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a8ec6dcd11ad07b9d790baa75c3652af7b014534
| 23,783
|
py
|
Python
|
sdk/python/pulumi_rancher2/global_dns.py
|
pulumi/pulumi-rancher2
|
7a98af8cf598b711084a7f46c0fe71b43ed7a8ac
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2020-03-23T15:59:11.000Z
|
2021-01-29T00:37:32.000Z
|
sdk/python/pulumi_rancher2/global_dns.py
|
pulumi/pulumi-rancher2
|
7a98af8cf598b711084a7f46c0fe71b43ed7a8ac
|
[
"ECL-2.0",
"Apache-2.0"
] | 76
|
2020-01-16T20:00:25.000Z
|
2022-03-31T20:30:08.000Z
|
sdk/python/pulumi_rancher2/global_dns.py
|
pulumi/pulumi-rancher2
|
7a98af8cf598b711084a7f46c0fe71b43ed7a8ac
|
[
"ECL-2.0",
"Apache-2.0"
] | 2
|
2020-03-27T17:39:59.000Z
|
2020-11-24T23:09:24.000Z
|
# 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__ = ['GlobalDnsArgs', 'GlobalDns']
@pulumi.input_type
class GlobalDnsArgs:
def __init__(__self__, *,
fqdn: pulumi.Input[str],
provider_id: pulumi.Input[str],
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
multi_cluster_app_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
ttl: Optional[pulumi.Input[int]] = None):
"""
The set of arguments for constructing a GlobalDns resource.
:param pulumi.Input[str] fqdn: The Global DNS record (string)
:param pulumi.Input[str] provider_id: The Global DNS provider ID to use (string)
:param pulumi.Input[Mapping[str, Any]] annotations: Annotations for Global DNS (map)
:param pulumi.Input[Mapping[str, Any]] labels: Labels for Global DNS (map)
:param pulumi.Input[str] multi_cluster_app_id: The MultiCluster App ID to assign to the Global DNS. Conflicts with `project_ids` (string)
:param pulumi.Input[str] name: The name of the Global DNS (string)
:param pulumi.Input[Sequence[pulumi.Input[str]]] project_ids: A list of project_ids to assign to the Global DNS. Conflicts with `multi_cluster_app_id` (list(string))
:param pulumi.Input[int] ttl: TTL in seconds for DNS record. Default: `300` (int)
"""
pulumi.set(__self__, "fqdn", fqdn)
pulumi.set(__self__, "provider_id", provider_id)
if annotations is not None:
pulumi.set(__self__, "annotations", annotations)
if labels is not None:
pulumi.set(__self__, "labels", labels)
if multi_cluster_app_id is not None:
pulumi.set(__self__, "multi_cluster_app_id", multi_cluster_app_id)
if name is not None:
pulumi.set(__self__, "name", name)
if project_ids is not None:
pulumi.set(__self__, "project_ids", project_ids)
if ttl is not None:
pulumi.set(__self__, "ttl", ttl)
@property
@pulumi.getter
def fqdn(self) -> pulumi.Input[str]:
"""
The Global DNS record (string)
"""
return pulumi.get(self, "fqdn")
@fqdn.setter
def fqdn(self, value: pulumi.Input[str]):
pulumi.set(self, "fqdn", value)
@property
@pulumi.getter(name="providerId")
def provider_id(self) -> pulumi.Input[str]:
"""
The Global DNS provider ID to use (string)
"""
return pulumi.get(self, "provider_id")
@provider_id.setter
def provider_id(self, value: pulumi.Input[str]):
pulumi.set(self, "provider_id", value)
@property
@pulumi.getter
def annotations(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Annotations for Global DNS (map)
"""
return pulumi.get(self, "annotations")
@annotations.setter
def annotations(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "annotations", value)
@property
@pulumi.getter
def labels(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Labels for Global DNS (map)
"""
return pulumi.get(self, "labels")
@labels.setter
def labels(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "labels", value)
@property
@pulumi.getter(name="multiClusterAppId")
def multi_cluster_app_id(self) -> Optional[pulumi.Input[str]]:
"""
The MultiCluster App ID to assign to the Global DNS. Conflicts with `project_ids` (string)
"""
return pulumi.get(self, "multi_cluster_app_id")
@multi_cluster_app_id.setter
def multi_cluster_app_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "multi_cluster_app_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the Global DNS (string)
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="projectIds")
def project_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of project_ids to assign to the Global DNS. Conflicts with `multi_cluster_app_id` (list(string))
"""
return pulumi.get(self, "project_ids")
@project_ids.setter
def project_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "project_ids", value)
@property
@pulumi.getter
def ttl(self) -> Optional[pulumi.Input[int]]:
"""
TTL in seconds for DNS record. Default: `300` (int)
"""
return pulumi.get(self, "ttl")
@ttl.setter
def ttl(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "ttl", value)
@pulumi.input_type
class _GlobalDnsState:
def __init__(__self__, *,
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
fqdn: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
multi_cluster_app_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
provider_id: Optional[pulumi.Input[str]] = None,
ttl: Optional[pulumi.Input[int]] = None):
"""
Input properties used for looking up and filtering GlobalDns resources.
:param pulumi.Input[Mapping[str, Any]] annotations: Annotations for Global DNS (map)
:param pulumi.Input[str] fqdn: The Global DNS record (string)
:param pulumi.Input[Mapping[str, Any]] labels: Labels for Global DNS (map)
:param pulumi.Input[str] multi_cluster_app_id: The MultiCluster App ID to assign to the Global DNS. Conflicts with `project_ids` (string)
:param pulumi.Input[str] name: The name of the Global DNS (string)
:param pulumi.Input[Sequence[pulumi.Input[str]]] project_ids: A list of project_ids to assign to the Global DNS. Conflicts with `multi_cluster_app_id` (list(string))
:param pulumi.Input[str] provider_id: The Global DNS provider ID to use (string)
:param pulumi.Input[int] ttl: TTL in seconds for DNS record. Default: `300` (int)
"""
if annotations is not None:
pulumi.set(__self__, "annotations", annotations)
if fqdn is not None:
pulumi.set(__self__, "fqdn", fqdn)
if labels is not None:
pulumi.set(__self__, "labels", labels)
if multi_cluster_app_id is not None:
pulumi.set(__self__, "multi_cluster_app_id", multi_cluster_app_id)
if name is not None:
pulumi.set(__self__, "name", name)
if project_ids is not None:
pulumi.set(__self__, "project_ids", project_ids)
if provider_id is not None:
pulumi.set(__self__, "provider_id", provider_id)
if ttl is not None:
pulumi.set(__self__, "ttl", ttl)
@property
@pulumi.getter
def annotations(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Annotations for Global DNS (map)
"""
return pulumi.get(self, "annotations")
@annotations.setter
def annotations(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "annotations", value)
@property
@pulumi.getter
def fqdn(self) -> Optional[pulumi.Input[str]]:
"""
The Global DNS record (string)
"""
return pulumi.get(self, "fqdn")
@fqdn.setter
def fqdn(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "fqdn", value)
@property
@pulumi.getter
def labels(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Labels for Global DNS (map)
"""
return pulumi.get(self, "labels")
@labels.setter
def labels(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "labels", value)
@property
@pulumi.getter(name="multiClusterAppId")
def multi_cluster_app_id(self) -> Optional[pulumi.Input[str]]:
"""
The MultiCluster App ID to assign to the Global DNS. Conflicts with `project_ids` (string)
"""
return pulumi.get(self, "multi_cluster_app_id")
@multi_cluster_app_id.setter
def multi_cluster_app_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "multi_cluster_app_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the Global DNS (string)
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="projectIds")
def project_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of project_ids to assign to the Global DNS. Conflicts with `multi_cluster_app_id` (list(string))
"""
return pulumi.get(self, "project_ids")
@project_ids.setter
def project_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "project_ids", value)
@property
@pulumi.getter(name="providerId")
def provider_id(self) -> Optional[pulumi.Input[str]]:
"""
The Global DNS provider ID to use (string)
"""
return pulumi.get(self, "provider_id")
@provider_id.setter
def provider_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "provider_id", value)
@property
@pulumi.getter
def ttl(self) -> Optional[pulumi.Input[int]]:
"""
TTL in seconds for DNS record. Default: `300` (int)
"""
return pulumi.get(self, "ttl")
@ttl.setter
def ttl(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "ttl", value)
class GlobalDns(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
fqdn: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
multi_cluster_app_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
provider_id: Optional[pulumi.Input[str]] = None,
ttl: Optional[pulumi.Input[int]] = None,
__props__=None):
"""
Provides a Rancher V2 Global DNS resource. This can be used to create Global DNS records for Rancher V2.
## Example Usage
```python
import pulumi
import pulumi_rancher2 as rancher2
# Create a new rancher2 Global DNS Provider
foo_global_dns_provider = rancher2.GlobalDnsProvider("fooGlobalDnsProvider",
root_domain="example.com",
route53_config=rancher2.GlobalDnsProviderRoute53ConfigArgs(
access_key="YYYYYYYYYYYYYYYYYYYY",
secret_key="XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
zone_type="private",
region="us-east-1",
))
# Create a new rancher2 Global DNS using project IDs
foo_global_dns = rancher2.GlobalDns("fooGlobalDns",
fqdn="foo.example.com",
provider_id=foo_global_dns_provider.id,
project_ids=[
"project1",
"project2",
])
```
```python
import pulumi
import pulumi_rancher2 as rancher2
# Create a new rancher2 Global DNS Provider
foo_global_dns_provider = rancher2.GlobalDnsProvider("fooGlobalDnsProvider",
root_domain="example.com",
route53_config=rancher2.GlobalDnsProviderRoute53ConfigArgs(
access_key="YYYYYYYYYYYYYYYYYYYY",
secret_key="XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
zone_type="private",
region="us-east-1",
))
# Create a new rancher2 Global DNS using MultiClusterApp ID
foo_global_dns = rancher2.GlobalDns("fooGlobalDns",
fqdn="foo.example.com",
provider_id=foo_global_dns_provider.id,
multi_cluster_app_id="<MCA_ID>")
```
## Import
Global DNS Entry can be imported using the Rancher Global DNS ID
```sh
$ pulumi import rancher2:index/globalDns:GlobalDns foo <global_dns_id>
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Mapping[str, Any]] annotations: Annotations for Global DNS (map)
:param pulumi.Input[str] fqdn: The Global DNS record (string)
:param pulumi.Input[Mapping[str, Any]] labels: Labels for Global DNS (map)
:param pulumi.Input[str] multi_cluster_app_id: The MultiCluster App ID to assign to the Global DNS. Conflicts with `project_ids` (string)
:param pulumi.Input[str] name: The name of the Global DNS (string)
:param pulumi.Input[Sequence[pulumi.Input[str]]] project_ids: A list of project_ids to assign to the Global DNS. Conflicts with `multi_cluster_app_id` (list(string))
:param pulumi.Input[str] provider_id: The Global DNS provider ID to use (string)
:param pulumi.Input[int] ttl: TTL in seconds for DNS record. Default: `300` (int)
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: GlobalDnsArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a Rancher V2 Global DNS resource. This can be used to create Global DNS records for Rancher V2.
## Example Usage
```python
import pulumi
import pulumi_rancher2 as rancher2
# Create a new rancher2 Global DNS Provider
foo_global_dns_provider = rancher2.GlobalDnsProvider("fooGlobalDnsProvider",
root_domain="example.com",
route53_config=rancher2.GlobalDnsProviderRoute53ConfigArgs(
access_key="YYYYYYYYYYYYYYYYYYYY",
secret_key="XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
zone_type="private",
region="us-east-1",
))
# Create a new rancher2 Global DNS using project IDs
foo_global_dns = rancher2.GlobalDns("fooGlobalDns",
fqdn="foo.example.com",
provider_id=foo_global_dns_provider.id,
project_ids=[
"project1",
"project2",
])
```
```python
import pulumi
import pulumi_rancher2 as rancher2
# Create a new rancher2 Global DNS Provider
foo_global_dns_provider = rancher2.GlobalDnsProvider("fooGlobalDnsProvider",
root_domain="example.com",
route53_config=rancher2.GlobalDnsProviderRoute53ConfigArgs(
access_key="YYYYYYYYYYYYYYYYYYYY",
secret_key="XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
zone_type="private",
region="us-east-1",
))
# Create a new rancher2 Global DNS using MultiClusterApp ID
foo_global_dns = rancher2.GlobalDns("fooGlobalDns",
fqdn="foo.example.com",
provider_id=foo_global_dns_provider.id,
multi_cluster_app_id="<MCA_ID>")
```
## Import
Global DNS Entry can be imported using the Rancher Global DNS ID
```sh
$ pulumi import rancher2:index/globalDns:GlobalDns foo <global_dns_id>
```
:param str resource_name: The name of the resource.
:param GlobalDnsArgs 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(GlobalDnsArgs, 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,
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
fqdn: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
multi_cluster_app_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
provider_id: Optional[pulumi.Input[str]] = None,
ttl: Optional[pulumi.Input[int]] = 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__ = GlobalDnsArgs.__new__(GlobalDnsArgs)
__props__.__dict__["annotations"] = annotations
if fqdn is None and not opts.urn:
raise TypeError("Missing required property 'fqdn'")
__props__.__dict__["fqdn"] = fqdn
__props__.__dict__["labels"] = labels
__props__.__dict__["multi_cluster_app_id"] = multi_cluster_app_id
__props__.__dict__["name"] = name
__props__.__dict__["project_ids"] = project_ids
if provider_id is None and not opts.urn:
raise TypeError("Missing required property 'provider_id'")
__props__.__dict__["provider_id"] = provider_id
__props__.__dict__["ttl"] = ttl
super(GlobalDns, __self__).__init__(
'rancher2:index/globalDns:GlobalDns',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
fqdn: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
multi_cluster_app_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
provider_id: Optional[pulumi.Input[str]] = None,
ttl: Optional[pulumi.Input[int]] = None) -> 'GlobalDns':
"""
Get an existing GlobalDns 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[Mapping[str, Any]] annotations: Annotations for Global DNS (map)
:param pulumi.Input[str] fqdn: The Global DNS record (string)
:param pulumi.Input[Mapping[str, Any]] labels: Labels for Global DNS (map)
:param pulumi.Input[str] multi_cluster_app_id: The MultiCluster App ID to assign to the Global DNS. Conflicts with `project_ids` (string)
:param pulumi.Input[str] name: The name of the Global DNS (string)
:param pulumi.Input[Sequence[pulumi.Input[str]]] project_ids: A list of project_ids to assign to the Global DNS. Conflicts with `multi_cluster_app_id` (list(string))
:param pulumi.Input[str] provider_id: The Global DNS provider ID to use (string)
:param pulumi.Input[int] ttl: TTL in seconds for DNS record. Default: `300` (int)
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _GlobalDnsState.__new__(_GlobalDnsState)
__props__.__dict__["annotations"] = annotations
__props__.__dict__["fqdn"] = fqdn
__props__.__dict__["labels"] = labels
__props__.__dict__["multi_cluster_app_id"] = multi_cluster_app_id
__props__.__dict__["name"] = name
__props__.__dict__["project_ids"] = project_ids
__props__.__dict__["provider_id"] = provider_id
__props__.__dict__["ttl"] = ttl
return GlobalDns(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def annotations(self) -> pulumi.Output[Mapping[str, Any]]:
"""
Annotations for Global DNS (map)
"""
return pulumi.get(self, "annotations")
@property
@pulumi.getter
def fqdn(self) -> pulumi.Output[str]:
"""
The Global DNS record (string)
"""
return pulumi.get(self, "fqdn")
@property
@pulumi.getter
def labels(self) -> pulumi.Output[Mapping[str, Any]]:
"""
Labels for Global DNS (map)
"""
return pulumi.get(self, "labels")
@property
@pulumi.getter(name="multiClusterAppId")
def multi_cluster_app_id(self) -> pulumi.Output[Optional[str]]:
"""
The MultiCluster App ID to assign to the Global DNS. Conflicts with `project_ids` (string)
"""
return pulumi.get(self, "multi_cluster_app_id")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name of the Global DNS (string)
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="projectIds")
def project_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
A list of project_ids to assign to the Global DNS. Conflicts with `multi_cluster_app_id` (list(string))
"""
return pulumi.get(self, "project_ids")
@property
@pulumi.getter(name="providerId")
def provider_id(self) -> pulumi.Output[str]:
"""
The Global DNS provider ID to use (string)
"""
return pulumi.get(self, "provider_id")
@property
@pulumi.getter
def ttl(self) -> pulumi.Output[Optional[int]]:
"""
TTL in seconds for DNS record. Default: `300` (int)
"""
return pulumi.get(self, "ttl")
| 40.654701
| 173
| 0.623639
| 2,790
| 23,783
| 5.100358
| 0.067384
| 0.093535
| 0.065917
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| 0.883134
| 0.865987
| 0.853197
| 0.843148
| 0.828812
| 0.824666
| 0
| 0.004651
| 0.26767
| 23,783
| 584
| 174
| 40.724315
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| 0.002514
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| 0.161512
| false
| 0.003436
| 0.017182
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| null | 0
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|
0
| 8
|
0f0b04ad8bac054e7f1745a6cd7145f3e0a75b14
| 8,047
|
py
|
Python
|
dbselect/test_dbselect.py
|
dbselect/dbselect
|
80ac42d54e5c9fbf0743b20d2527cf8b5d941ee6
|
[
"MIT"
] | null | null | null |
dbselect/test_dbselect.py
|
dbselect/dbselect
|
80ac42d54e5c9fbf0743b20d2527cf8b5d941ee6
|
[
"MIT"
] | null | null | null |
dbselect/test_dbselect.py
|
dbselect/dbselect
|
80ac42d54e5c9fbf0743b20d2527cf8b5d941ee6
|
[
"MIT"
] | null | null | null |
import unittest
from dbselect import dbselect
class TestDBSelect(unittest.TestCase):
def setUp(self):
self.dbselect = dbselect.DBSelect(limit=100)
#table_names
self.tables = [None,'','employee']
#empty parameter dict
self.parameters = [
None,
{},
{'columns': None},
{'columns': ''},
{'columns': 'col1,col2,col3'},
{'columns': ['col1', 'col2', 'col3']}
]
def tearDown(self):
pass
def test0(self):
sql = self.dbselect.generate('employee')
self.assertEqual(sql,'select * from employee where rownum <= 100')
def test1(self):
sql = self.dbselect.generate('employee', {})
self.assertEqual(sql,'select * from employee where rownum <= 100')
def test2(self):
sql = self.dbselect.generate('employee', {'columns': ''})
self.assertEqual(sql, 'select * from employee where rownum <= 100')
def test3(self):
sql = self.dbselect.generate('employee', {'columns':None})
self.assertEqual(sql, 'select * from employee where rownum <= 100')
def test4(self):
sql = self.dbselect.generate('employee', {'columns': 'code'})
self.assertEqual(sql, 'select code from employee where rownum <= 100')
def test5(self):
sql = self.dbselect.generate('employee', {'columns': 'code,name,description'})
self.assertEqual(sql,'select code,name,description from employee where rownum <= 100')
def test22(self):
sql = self.dbselect.generate('employee', {'order_by': ''})
self.assertEqual(sql, 'select * from employee where rownum <= 100')
def test23(self):
sql = self.dbselect.generate('employee', {'order_by':None})
self.assertEqual(sql, 'select * from employee where rownum <= 100')
def test24(self):
sql = self.dbselect.generate('employee', {'order_by': 'code'})
self.assertEqual(sql, 'select * from employee where rownum <= 100 order by code')
def test25(self):
sql = self.dbselect.generate('employee', {'order_by': 'code,name'})
self.assertEqual(sql,'select * from employee where rownum <= 100 order by code,name')
def test32(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'asc_desc': ''})
self.assertEqual(sql, 'select * from employee where rownum <= 100')
def test33(self):
sql = self.dbselect.generate('employee', {'order_by':None, 'asc_desc':None})
self.assertEqual(sql, 'select * from employee where rownum <= 100')
def test34(self):
sql = self.dbselect.generate('employee', {'order_by': 'code', 'asc_desc': ''})
self.assertEqual(sql, 'select * from employee where rownum <= 100 order by code')
def test35(self):
sql = self.dbselect.generate('employee', {'order_by': 'code', 'asc_desc': 'asc'})
self.assertEqual(sql, 'select * from employee where rownum <= 100 order by code asc')
def test36(self):
sql = self.dbselect.generate('employee', {'order_by': 'code,name', 'asc_desc': 'asc,desc'})
self.assertEqual(sql,'select * from employee where rownum <= 100 order by code asc,name desc')
def test37(self):
sql = self.dbselect.generate('employee', {'order_by': 'code,name', 'asc_desc': 'asc'})
self.assertEqual(sql,'select * from employee where rownum <= 100 order by code asc,name')
def test38(self):
sql = self.dbselect.generate('employee', {'order_by': 'code', 'asc_desc': 'asc,desc'})
self.assertEqual(sql,'select * from employee where rownum <= 100 order by code asc')
def test50(self):
sql = self.dbselect.generate('employee', {'code': 'gt,123'})
self.assertEqual(sql,'select * from employee where rownum <= 100 and code > 123')
def test51(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'gt,123'})
self.assertEqual(sql, 'select * from employee where rownum <= 100 and code > 123')
def test52(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'eq,MT'})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code = 'MT'")
def test53(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'in,MT,TD'})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code in ('MT','TD')")
def test54(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'in,MT,TD,AB'})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code in ('MT','TD','AB')")
def test55(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'in,10,20'})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code in (10,20)")
def test56(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'in,10,20,15'})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code in (10,20,15)")
def test60(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'btw,10,20'})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code between 10 and 20")
def test61(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'btw,2008-01-01,2018-12-31'})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code between '2008-01-01' and '2018-12-31'")
def test62(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code': 'btw,@sysdate-30,@sysdate'})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code between sysdate-30 and sysdate")
def test70(self):
sql = self.dbselect.generate('employee', {'code':['gt', '123']})
self.assertEqual(sql,'select * from employee where rownum <= 100 and code > 123')
def test71(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['gt', '123']})
self.assertEqual(sql, 'select * from employee where rownum <= 100 and code > 123')
def test72(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['eq', 'MT']})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code = 'MT'")
def test73(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['in', 'MT', 'TD']})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code in ('MT','TD')")
def test74(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['in', 'MT', 'TD', 'AB']})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code in ('MT','TD','AB')")
def test75(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['in', '10', '20']})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code in (10,20)")
def test76(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['in', '10', '20', '15']})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code in (10,20,15)")
def test77(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['btw', '10', '20']})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code between 10 and 20")
def test78(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['btw', '2008-01-01', '2018-12-31']})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code between '2008-01-01' and '2018-12-31'")
def test79(self):
sql = self.dbselect.generate('employee', {'order_by': '', 'code':['btw', '@sysdate-30', '@sysdate']})
self.assertEqual(sql, "select * from employee where rownum <= 100 and code between sysdate-30 and sysdate")
if __name__ == '__main__':
unittest.main()
| 44.955307
| 122
| 0.609917
| 1,009
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| 8,047
| 179
| 123
| 44.955307
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| false
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0
| 7
|
0f69030b89eb99b63fb2c78164faa1f6207ad44a
| 19,709
|
py
|
Python
|
cms/tests/test_page_user_group_admin.py
|
fp4code/django-cms
|
e382fc7fe039733fee187658066a7b4af656c49e
|
[
"BSD-3-Clause"
] | 1
|
2019-07-08T08:37:24.000Z
|
2019-07-08T08:37:24.000Z
|
cms/tests/test_page_user_group_admin.py
|
zahedbri/django-cms
|
70c11c90d14459ef63472f3d0e6c90086c6098c5
|
[
"BSD-3-Clause"
] | 6
|
2015-12-02T16:10:20.000Z
|
2016-06-17T14:24:00.000Z
|
cms/tests/test_page_user_group_admin.py
|
zahedbri/django-cms
|
70c11c90d14459ef63472f3d0e6c90086c6098c5
|
[
"BSD-3-Clause"
] | 1
|
2017-10-17T08:20:32.000Z
|
2017-10-17T08:20:32.000Z
|
# -*- coding: utf-8 -*-
from django.contrib.messages.storage.cookie import CookieStorage
from django.forms.models import model_to_dict
from django.test.utils import override_settings
from cms.models.permissionmodels import PageUserGroup
from cms.test_utils.testcases import CMSTestCase
from cms.utils.compat import DJANGO_1_10
from cms.utils.urlutils import admin_reverse
class PermissionsOnTestCase(CMSTestCase):
def _group_exists(self, name=None):
if not name:
name = 'Test group'
return PageUserGroup.objects.filter(name=name).exists()
def _get_group_data(self, **kwargs):
data = {
'name': 'Test group',
'can_add_page': 'on',
'can_change_page': 'on',
'can_delete_page': 'on',
}
data.update(**kwargs)
return data
def _get_group(self, created_by=None):
if not created_by:
created_by = self.get_superuser()
data = {
'name': 'Test group',
'created_by': created_by,
}
return PageUserGroup.objects.create(**data)
@override_settings(CMS_PERMISSION=True)
class PermissionsOnGlobalTest(PermissionsOnTestCase):
def test_group_in_admin_index(self):
endpoint = admin_reverse('app_list', args=['cms'])
staff_user = self.get_staff_user_with_no_permissions()
self.add_permission(staff_user, 'change_pageusergroup')
self.add_global_permission(staff_user, can_change_permissions=True)
with self.login_user_context(staff_user):
response = self.client.get(endpoint)
self.assertEqual(response.status_code, 200)
self.assertContains(
response,
'<a href="/en/admin/cms/pageusergroup/">User groups (page)</a>',
html=True,
)
endpoint = self.get_admin_url(PageUserGroup, 'changelist')
with self.login_user_context(staff_user):
response = self.client.get(endpoint)
self.assertEqual(response.status_code, 200)
def test_group_not_in_admin_index(self):
endpoint = admin_reverse('app_list', args=['cms'])
staff_user = self.get_staff_user_with_no_permissions()
self.add_permission(staff_user, 'change_pageusergroup')
self.add_global_permission(staff_user, can_change_permissions=False)
with self.login_user_context(staff_user):
response = self.client.get(endpoint)
self.assertEqual(response.status_code, 404)
endpoint = self.get_admin_url(PageUserGroup, 'changelist')
with self.login_user_context(staff_user):
response = self.client.get(endpoint)
self.assertEqual(response.status_code, 403)
def test_user_can_add_group(self):
endpoint = self.get_admin_url(PageUserGroup, 'add')
redirect_to = admin_reverse('index')
staff_user = self.get_staff_user_with_no_permissions()
data = self._get_group_data()
self.add_permission(staff_user, 'add_pageusergroup')
self.add_global_permission(staff_user, can_change_permissions=True)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertRedirects(response, redirect_to)
self.assertTrue(self._group_exists())
def test_user_cant_add_group(self):
endpoint = self.get_admin_url(PageUserGroup, 'add')
staff_user = self.get_staff_user_with_no_permissions()
data = self._get_group_data()
self.add_permission(staff_user, 'add_pageusergroup')
self.add_global_permission(staff_user, can_change_permissions=False)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertEqual(response.status_code, 403)
self.assertFalse(self._group_exists())
def test_user_can_change_group(self):
group = self._get_group()
endpoint = self.get_admin_url(PageUserGroup, 'change', group.pk)
redirect_to = self.get_admin_url(PageUserGroup, 'changelist')
staff_user = self.get_staff_user_with_no_permissions()
data = self._get_group_data(name='New test group')
self.add_permission(staff_user, 'change_pageusergroup')
self.add_global_permission(staff_user, can_change_permissions=True)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertRedirects(response, redirect_to)
self.assertTrue(self._group_exists('New test group'))
def test_user_cant_change_group(self):
group = self._get_group()
endpoint = self.get_admin_url(PageUserGroup, 'change', group.pk)
staff_user = self.get_staff_user_with_no_permissions()
data = self._get_group_data(name='New test group')
self.add_permission(staff_user, 'change_pageusergroup')
self.add_global_permission(staff_user, can_change_permissions=False)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertEqual(response.status_code, 403)
self.assertTrue(self._group_exists())
def test_user_can_delete_group(self):
group = self._get_group()
endpoint = self.get_admin_url(PageUserGroup, 'delete', group.pk)
redirect_to = admin_reverse('index')
staff_user = self.get_staff_user_with_no_permissions()
data = {'post': 'yes'}
self.add_permission(staff_user, 'delete_group')
self.add_permission(staff_user, 'delete_pageusergroup')
self.add_global_permission(staff_user, can_change_permissions=True)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertRedirects(response, redirect_to)
self.assertFalse(self._group_exists())
def test_user_cant_delete_group(self):
group = self._get_group()
endpoint = self.get_admin_url(PageUserGroup, 'delete', group.pk)
staff_user = self.get_staff_user_with_no_permissions()
data = {'post': 'yes'}
self.add_permission(staff_user, 'delete_group')
self.add_permission(staff_user, 'delete_pageusergroup')
self.add_global_permission(staff_user, can_change_permissions=False)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertEqual(response.status_code, 403)
self.assertTrue(self._group_exists())
@override_settings(CMS_PERMISSION=True)
class PermissionsOnPageTest(PermissionsOnTestCase):
"""
Uses PagePermission
"""
def setUp(self):
self._permissions_page = self.get_permissions_test_page()
def test_group_in_admin_index(self):
endpoint = admin_reverse('app_list', args=['cms'])
staff_user = self.get_staff_user_with_no_permissions()
self.add_permission(staff_user, 'change_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=True,
)
with self.login_user_context(staff_user):
response = self.client.get(endpoint)
self.assertEqual(response.status_code, 200)
self.assertContains(
response,
'<a href="/en/admin/cms/pageusergroup/">User groups (page)</a>',
html=True,
)
endpoint = self.get_admin_url(PageUserGroup, 'changelist')
with self.login_user_context(staff_user):
response = self.client.get(endpoint)
self.assertEqual(response.status_code, 200)
def test_group_not_in_admin_index(self):
endpoint = admin_reverse('app_list', args=['cms'])
staff_user = self.get_staff_user_with_no_permissions()
self.add_permission(staff_user, 'change_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=False,
)
with self.login_user_context(staff_user):
response = self.client.get(endpoint)
self.assertEqual(response.status_code, 404)
endpoint = self.get_admin_url(PageUserGroup, 'changelist')
with self.login_user_context(staff_user):
response = self.client.get(endpoint)
self.assertEqual(response.status_code, 403)
def test_user_can_add_group(self):
"""
User can add new groups if can_change_permissions
is set to True.
"""
endpoint = self.get_admin_url(PageUserGroup, 'add')
redirect_to = admin_reverse('index')
staff_user = self.get_staff_user_with_no_permissions()
data = self._get_group_data()
self.add_permission(staff_user, 'add_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=True,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertRedirects(response, redirect_to)
self.assertTrue(self._group_exists())
def test_user_cant_add_group(self):
"""
User can't add new groups if can_change_permissions
is set to False.
"""
endpoint = self.get_admin_url(PageUserGroup, 'add')
staff_user = self.get_staff_user_with_no_permissions()
data = self._get_group_data()
self.add_permission(staff_user, 'add_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=False,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertEqual(response.status_code, 403)
self.assertFalse(self._group_exists())
def test_user_can_change_subordinate_group(self):
"""
User can change groups he created if can_change_permissions
is set to True.
"""
staff_user = self.get_staff_user_with_no_permissions()
group = self._get_group(created_by=staff_user)
endpoint = self.get_admin_url(PageUserGroup, 'change', group.pk)
data = model_to_dict(group)
data['_continue'] = '1'
data['name'] = 'New test group'
self.add_permission(staff_user, 'change_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=True,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertRedirects(response, endpoint)
self.assertTrue(self._group_exists('New test group'))
def test_user_cant_change_subordinate_group(self):
"""
User cant change groups he created if can_change_permissions
is set to False.
"""
staff_user = self.get_staff_user_with_no_permissions()
group = self._get_group(created_by=staff_user)
endpoint = self.get_admin_url(PageUserGroup, 'change', group.pk)
data = model_to_dict(group)
data['_continue'] = '1'
data['name'] = 'New test group'
self.add_permission(staff_user, 'change_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=False,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertEqual(response.status_code, 403)
self.assertFalse(self._group_exists('New test group'))
def test_user_cant_change_own_group(self):
"""
User cant change a group he's a part of,
even with can_change_permissions set to True.
"""
group = self._get_group()
staff_user = self.get_staff_user_with_no_permissions()
staff_user.groups.add(group)
endpoint = self.get_admin_url(PageUserGroup, 'change', group.pk)
redirect_to = admin_reverse('index')
data = model_to_dict(group)
data['_continue'] = '1'
data['name'] = 'New test group'
self.add_permission(staff_user, 'change_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=True,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
# Since Django 1.11 404 results in redirect to the admin home
if DJANGO_1_10:
self.assertEqual(response.status_code, 404)
else:
self.assertRedirects(response, redirect_to)
msgs = CookieStorage(response)._decode(response.cookies['messages'].value)
self.assertTrue(msgs[0], PageUserGroup._meta.verbose_name)
self.assertTrue(msgs[0], 'ID "%s"' % group.pk)
self.assertFalse(self._group_exists('New test group'))
def test_user_cant_change_others_group(self):
"""
User cant change a group created by another user,
even with can_change_permissions set to True.
"""
admin = self.get_superuser()
group = self._get_group(created_by=admin)
staff_user = self.get_staff_user_with_no_permissions()
endpoint = self.get_admin_url(PageUserGroup, 'change', group.pk)
redirect_to = admin_reverse('index')
data = model_to_dict(group)
data['_continue'] = '1'
data['name'] = 'New test group'
self.add_permission(staff_user, 'change_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=True,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
# Since Django 1.11 404 results in redirect to the admin home
if DJANGO_1_10:
self.assertEqual(response.status_code, 404)
else:
self.assertRedirects(response, redirect_to)
msgs = CookieStorage(response)._decode(response.cookies['messages'].value)
self.assertTrue(msgs[0], PageUserGroup._meta.verbose_name)
self.assertTrue(msgs[0], 'ID "%s"' % group.pk)
self.assertFalse(self._group_exists('New test group'))
def test_user_can_delete_subordinate_group(self):
"""
User can delete groups he created if can_change_permissions
is set to True.
"""
staff_user = self.get_staff_user_with_no_permissions()
group = self._get_group(created_by=staff_user)
endpoint = self.get_admin_url(PageUserGroup, 'delete', group.pk)
redirect_to = admin_reverse('index')
data = {'post': 'yes'}
self.add_permission(staff_user, 'delete_group')
self.add_permission(staff_user, 'delete_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=True,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertRedirects(response, redirect_to)
self.assertFalse(self._group_exists())
def test_user_cant_delete_subordinate_group(self):
"""
User cant delete groups he created if can_change_permissions
is set to False.
"""
staff_user = self.get_staff_user_with_no_permissions()
group = self._get_group(created_by=staff_user)
endpoint = self.get_admin_url(PageUserGroup, 'delete', group.pk)
data = {'post': 'yes'}
self.add_permission(staff_user, 'delete_group')
self.add_permission(staff_user, 'delete_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=False,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
self.assertEqual(response.status_code, 403)
self.assertTrue(self._group_exists())
def test_user_cant_delete_own_group(self):
"""
User cant delete a group he's a part of,
even with can_change_permissions set to True.
"""
group = self._get_group()
staff_user = self.get_staff_user_with_no_permissions()
staff_user.groups.add(group)
endpoint = self.get_admin_url(PageUserGroup, 'delete', group.pk)
redirect_to = admin_reverse('index')
data = {'post': 'yes'}
self.add_permission(staff_user, 'delete_group')
self.add_permission(staff_user, 'delete_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=True,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
# The response is a 404 instead of a 403
# because the queryset is limited to objects
# that the user has permissions for.
# This queryset is used to fetch the object
# from the request, resulting in a 404.
# Since Django 1.11 404 results in redirect to the admin home
if DJANGO_1_10:
self.assertEqual(response.status_code, 404)
else:
self.assertRedirects(response, redirect_to)
msgs = CookieStorage(response)._decode(response.cookies['messages'].value)
self.assertTrue(msgs[0], PageUserGroup._meta.verbose_name)
self.assertTrue(msgs[0], 'ID "%s"' % group.pk)
self.assertTrue(self._group_exists())
def test_user_cant_delete_others_group(self):
"""
User cant delete a group created by another user,
even with can_change_permissions set to True.
"""
admin = self.get_superuser()
group = self._get_group(created_by=admin)
staff_user = self.get_staff_user_with_no_permissions()
endpoint = self.get_admin_url(PageUserGroup, 'delete', group.pk)
redirect_to = admin_reverse('index')
data = {'post': 'yes'}
self.add_permission(staff_user, 'delete_group')
self.add_permission(staff_user, 'delete_pageusergroup')
self.add_page_permission(
staff_user,
self._permissions_page,
can_change_permissions=True,
)
with self.login_user_context(staff_user):
response = self.client.post(endpoint, data)
# The response is a 404 instead of a 403
# because the queryset is limited to objects
# that the user has permissions for.
# This queryset is used to fetch the object
# from the request, resulting in a 404.
# Since Django 1.11 404 results in redirect to the admin home
if DJANGO_1_10:
self.assertEqual(response.status_code, 404)
else:
self.assertRedirects(response, redirect_to)
msgs = CookieStorage(response)._decode(response.cookies['messages'].value)
self.assertTrue(msgs[0], PageUserGroup._meta.verbose_name)
self.assertTrue(msgs[0], 'ID "%s"' % group.pk)
self.assertTrue(self._group_exists())
| 38.950593
| 90
| 0.647775
| 2,322
| 19,709
| 5.173988
| 0.062446
| 0.086899
| 0.072748
| 0.047611
| 0.92875
| 0.916181
| 0.906692
| 0.898785
| 0.898036
| 0.898036
| 0
| 0.008512
| 0.260896
| 19,709
| 505
| 91
| 39.027723
| 0.816228
| 0.075346
| 0
| 0.843407
| 0
| 0
| 0.067546
| 0.004473
| 0
| 0
| 0
| 0
| 0.148352
| 1
| 0.065934
| false
| 0
| 0.019231
| 0
| 0.101648
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
0f9184e0a2b0225109c13ea7c1c682d2bc35d0a1
| 387
|
py
|
Python
|
kartothek/api/dataset.py
|
janjagusch/kartothek
|
90ee486b73b0de84b7e69f97f8246446ba6001e2
|
[
"MIT"
] | 171
|
2019-05-02T15:47:20.000Z
|
2022-02-17T15:12:15.000Z
|
kartothek/api/dataset.py
|
janjagusch/kartothek
|
90ee486b73b0de84b7e69f97f8246446ba6001e2
|
[
"MIT"
] | 414
|
2019-05-03T09:24:26.000Z
|
2022-03-30T21:02:40.000Z
|
kartothek/api/dataset.py
|
janjagusch/kartothek
|
90ee486b73b0de84b7e69f97f8246446ba6001e2
|
[
"MIT"
] | 57
|
2019-05-03T08:00:18.000Z
|
2022-02-16T18:38:22.000Z
|
from kartothek.core import * # noqa: F401, F403
from kartothek.core.utils import * # noqa: F401, F403
from kartothek.io.dask.bag import * # noqa: F401, F403
from kartothek.io.dask.dataframe import * # noqa: F401, F403
from kartothek.io.dask.delayed import * # noqa: F401, F403
from kartothek.io.eager import * # noqa: F401, F403
from kartothek.io.iter import * # noqa: F401, F403
| 48.375
| 61
| 0.723514
| 58
| 387
| 4.827586
| 0.258621
| 0.325
| 0.35
| 0.45
| 0.742857
| 0.742857
| 0.632143
| 0.396429
| 0
| 0
| 0
| 0.12963
| 0.162791
| 387
| 7
| 62
| 55.285714
| 0.734568
| 0.30491
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
7e4bad79cdf2b0bebc8f5fb3d3cd02ed8de6f3c1
| 1,333
|
py
|
Python
|
runner/tests/action/feature/set/test_set.py
|
PC-Trip/runner
|
e13291e25a2bc2962523a1de2d13725609497cb5
|
[
"MIT"
] | null | null | null |
runner/tests/action/feature/set/test_set.py
|
PC-Trip/runner
|
e13291e25a2bc2962523a1de2d13725609497cb5
|
[
"MIT"
] | null | null | null |
runner/tests/action/feature/set/test_set.py
|
PC-Trip/runner
|
e13291e25a2bc2962523a1de2d13725609497cb5
|
[
"MIT"
] | null | null | null |
import pytest
@pytest.mark.parametrize("run", ["set_default.json"], indirect=True)
def test_set_default(run):
assert run == 0
with open('set_default.txt') as f:
assert 42 == int(f.read().strip())
@pytest.mark.parametrize("run", ["set_route_attr.json"], indirect=True)
def test_set_route_attr(run):
assert run == 0
with open('set_attr.txt') as f:
assert 42 == int(f.read().strip())
@pytest.mark.parametrize("run", ["set_route_attr_list.json"], indirect=True)
def test_set_route_attr_list(run):
assert run == 0
with open('set_route_attr_list.txt') as f:
assert 42 == int(f.read().strip())
@pytest.mark.parametrize("run", ["set_route_attr_dict.json"], indirect=True)
def test_set_route_attr_dict(run):
assert run == 0
with open('set_route_attr_dict.txt') as f:
assert 42 == int(f.read().strip())
@pytest.mark.parametrize("run", ["set_route_attr_dict_num.json"], indirect=True)
def test_set_route_attr_dict_num(run):
assert run == 0
with open('set_route_attr_dict_num.txt') as f:
assert 42 == int(f.read().strip())
@pytest.mark.parametrize("run", ["set_route_attr_mix_num.json"], indirect=True)
def test_set_route_attr_mix_num(run):
assert run == 0
with open('set_route_attr_mix_num.txt') as f:
assert 42 == int(f.read().strip())
| 31
| 80
| 0.67967
| 214
| 1,333
| 3.971963
| 0.135514
| 0.131765
| 0.197647
| 0.169412
| 0.942353
| 0.9
| 0.869412
| 0.812941
| 0.730588
| 0.551765
| 0
| 0.016043
| 0.15829
| 1,333
| 43
| 81
| 31
| 0.741533
| 0
| 0
| 0.387097
| 0
| 0
| 0.211394
| 0.151424
| 0
| 0
| 0
| 0
| 0.387097
| 1
| 0.193548
| false
| 0
| 0.032258
| 0
| 0.225806
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7e7552d87d7b2251c591515f5c03b6ec60b3963f
| 94,847
|
py
|
Python
|
msgraph-cli-extensions/beta/devicescloudprint_beta/azext_devicescloudprint_beta/vendored_sdks/devicescloudprint/aio/operations/_print_printers_operations.py
|
thewahome/msgraph-cli
|
33127d9efa23a0e5f5303c93242fbdbb73348671
|
[
"MIT"
] | null | null | null |
msgraph-cli-extensions/beta/devicescloudprint_beta/azext_devicescloudprint_beta/vendored_sdks/devicescloudprint/aio/operations/_print_printers_operations.py
|
thewahome/msgraph-cli
|
33127d9efa23a0e5f5303c93242fbdbb73348671
|
[
"MIT"
] | null | null | null |
msgraph-cli-extensions/beta/devicescloudprint_beta/azext_devicescloudprint_beta/vendored_sdks/devicescloudprint/aio/operations/_print_printers_operations.py
|
thewahome/msgraph-cli
|
33127d9efa23a0e5f5303c93242fbdbb73348671
|
[
"MIT"
] | null | null | null |
# 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.
# --------------------------------------------------------------------------
from typing import Any, AsyncIterable, Callable, Dict, Generic, List, Optional, TypeVar, Union
import warnings
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import AsyncHttpResponse, HttpRequest
from azure.mgmt.core.exceptions import ARMErrorFormat
from ... import models
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
class PrintPrintersOperations:
"""PrintPrintersOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:ivar models: Alias to model classes used in this operation group.
:type models: ~devices_cloud_print.models
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
models = models
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
def list_allowed_groups(
self,
printer_id: str,
orderby: Optional[List[Union[str, "models.Enum37"]]] = None,
select: Optional[List[Union[str, "models.Enum38"]]] = None,
expand: Optional[List[str]] = None,
**kwargs
) -> AsyncIterable["models.CollectionOfPrintIdentity"]:
"""Get allowedGroups from print.
Get allowedGroups from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param orderby: Order items by property values.
:type orderby: list[str or ~devices_cloud_print.models.Enum37]
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum38]
:param expand: Expand related entities.
:type expand: list[str]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either CollectionOfPrintIdentity or the result of cls(response)
:rtype: ~azure.core.async_paging.AsyncItemPaged[~devices_cloud_print.models.CollectionOfPrintIdentity]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.CollectionOfPrintIdentity"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
def prepare_request(next_link=None):
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
if not next_link:
# Construct URL
url = self.list_allowed_groups.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if self._config.top is not None:
query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0)
if self._config.skip is not None:
query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0)
if self._config.search is not None:
query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str')
if self._config.filter is not None:
query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str')
if self._config.count is not None:
query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool')
if orderby is not None:
query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',')
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
request = self._client.get(url, query_parameters, header_parameters)
else:
url = next_link
query_parameters = {} # type: Dict[str, Any]
request = self._client.get(url, query_parameters, header_parameters)
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize('CollectionOfPrintIdentity', pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.odata_next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
error = self._deserialize(models.OdataError, response)
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_allowed_groups.metadata = {'url': '/print/printers/{printer-id}/allowedGroups'} # type: ignore
async def create_allowed_groups(
self,
printer_id: str,
body: "models.MicrosoftGraphPrintIdentity",
**kwargs
) -> "models.MicrosoftGraphPrintIdentity":
"""Create new navigation property to allowedGroups for print.
Create new navigation property to allowedGroups for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param body: New navigation property.
:type body: ~devices_cloud_print.models.MicrosoftGraphPrintIdentity
:keyword callable cls: A custom type or function that will be passed the direct response
:return: MicrosoftGraphPrintIdentity, or the result of cls(response)
:rtype: ~devices_cloud_print.models.MicrosoftGraphPrintIdentity
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.MicrosoftGraphPrintIdentity"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.create_allowed_groups.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, 'MicrosoftGraphPrintIdentity')
body_content_kwargs['content'] = body_content
request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('MicrosoftGraphPrintIdentity', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_allowed_groups.metadata = {'url': '/print/printers/{printer-id}/allowedGroups'} # type: ignore
async def get_allowed_groups(
self,
printer_id: str,
print_identity_id: str,
select: Optional[List[Union[str, "models.Enum39"]]] = None,
expand: Optional[List[str]] = None,
**kwargs
) -> "models.MicrosoftGraphPrintIdentity":
"""Get allowedGroups from print.
Get allowedGroups from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_identity_id: key: id of printIdentity.
:type print_identity_id: str
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum39]
:param expand: Expand related entities.
:type expand: list[str]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: MicrosoftGraphPrintIdentity, or the result of cls(response)
:rtype: ~devices_cloud_print.models.MicrosoftGraphPrintIdentity
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.MicrosoftGraphPrintIdentity"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.get_allowed_groups.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printIdentity-id': self._serialize.url("print_identity_id", print_identity_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.get(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('MicrosoftGraphPrintIdentity', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_allowed_groups.metadata = {'url': '/print/printers/{printer-id}/allowedGroups/{printIdentity-id}'} # type: ignore
async def update_allowed_groups(
self,
printer_id: str,
print_identity_id: str,
body: "models.MicrosoftGraphPrintIdentity",
**kwargs
) -> None:
"""Update the navigation property allowedGroups in print.
Update the navigation property allowedGroups in print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_identity_id: key: id of printIdentity.
:type print_identity_id: str
:param body: New navigation property values.
:type body: ~devices_cloud_print.models.MicrosoftGraphPrintIdentity
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.update_allowed_groups.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printIdentity-id': self._serialize.url("print_identity_id", print_identity_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, 'MicrosoftGraphPrintIdentity')
body_content_kwargs['content'] = body_content
request = self._client.patch(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
update_allowed_groups.metadata = {'url': '/print/printers/{printer-id}/allowedGroups/{printIdentity-id}'} # type: ignore
async def delete_allowed_groups(
self,
printer_id: str,
print_identity_id: str,
if_match: Optional[str] = None,
**kwargs
) -> None:
"""Delete navigation property allowedGroups for print.
Delete navigation property allowedGroups for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_identity_id: key: id of printIdentity.
:type print_identity_id: str
:param if_match: ETag.
:type if_match: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.delete_allowed_groups.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printIdentity-id': self._serialize.url("print_identity_id", print_identity_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.delete(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
delete_allowed_groups.metadata = {'url': '/print/printers/{printer-id}/allowedGroups/{printIdentity-id}'} # type: ignore
def list_allowed_users(
self,
printer_id: str,
orderby: Optional[List[Union[str, "models.Enum40"]]] = None,
select: Optional[List[Union[str, "models.Enum41"]]] = None,
expand: Optional[List[str]] = None,
**kwargs
) -> AsyncIterable["models.CollectionOfPrintUserIdentity"]:
"""Get allowedUsers from print.
Get allowedUsers from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param orderby: Order items by property values.
:type orderby: list[str or ~devices_cloud_print.models.Enum40]
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum41]
:param expand: Expand related entities.
:type expand: list[str]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either CollectionOfPrintUserIdentity or the result of cls(response)
:rtype: ~azure.core.async_paging.AsyncItemPaged[~devices_cloud_print.models.CollectionOfPrintUserIdentity]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.CollectionOfPrintUserIdentity"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
def prepare_request(next_link=None):
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
if not next_link:
# Construct URL
url = self.list_allowed_users.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if self._config.top is not None:
query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0)
if self._config.skip is not None:
query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0)
if self._config.search is not None:
query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str')
if self._config.filter is not None:
query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str')
if self._config.count is not None:
query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool')
if orderby is not None:
query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',')
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
request = self._client.get(url, query_parameters, header_parameters)
else:
url = next_link
query_parameters = {} # type: Dict[str, Any]
request = self._client.get(url, query_parameters, header_parameters)
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize('CollectionOfPrintUserIdentity', pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.odata_next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
error = self._deserialize(models.OdataError, response)
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_allowed_users.metadata = {'url': '/print/printers/{printer-id}/allowedUsers'} # type: ignore
async def create_allowed_users(
self,
printer_id: str,
body: "models.MicrosoftGraphPrintUserIdentity",
**kwargs
) -> "models.MicrosoftGraphPrintUserIdentity":
"""Create new navigation property to allowedUsers for print.
Create new navigation property to allowedUsers for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param body: New navigation property.
:type body: ~devices_cloud_print.models.MicrosoftGraphPrintUserIdentity
:keyword callable cls: A custom type or function that will be passed the direct response
:return: MicrosoftGraphPrintUserIdentity, or the result of cls(response)
:rtype: ~devices_cloud_print.models.MicrosoftGraphPrintUserIdentity
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.MicrosoftGraphPrintUserIdentity"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.create_allowed_users.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, 'MicrosoftGraphPrintUserIdentity')
body_content_kwargs['content'] = body_content
request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('MicrosoftGraphPrintUserIdentity', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_allowed_users.metadata = {'url': '/print/printers/{printer-id}/allowedUsers'} # type: ignore
async def get_allowed_users(
self,
printer_id: str,
print_user_identity_id: str,
select: Optional[List[Union[str, "models.Enum42"]]] = None,
expand: Optional[List[str]] = None,
**kwargs
) -> "models.MicrosoftGraphPrintUserIdentity":
"""Get allowedUsers from print.
Get allowedUsers from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_user_identity_id: key: id of printUserIdentity.
:type print_user_identity_id: str
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum42]
:param expand: Expand related entities.
:type expand: list[str]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: MicrosoftGraphPrintUserIdentity, or the result of cls(response)
:rtype: ~devices_cloud_print.models.MicrosoftGraphPrintUserIdentity
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.MicrosoftGraphPrintUserIdentity"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.get_allowed_users.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printUserIdentity-id': self._serialize.url("print_user_identity_id", print_user_identity_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.get(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('MicrosoftGraphPrintUserIdentity', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_allowed_users.metadata = {'url': '/print/printers/{printer-id}/allowedUsers/{printUserIdentity-id}'} # type: ignore
async def update_allowed_users(
self,
printer_id: str,
print_user_identity_id: str,
body: "models.MicrosoftGraphPrintUserIdentity",
**kwargs
) -> None:
"""Update the navigation property allowedUsers in print.
Update the navigation property allowedUsers in print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_user_identity_id: key: id of printUserIdentity.
:type print_user_identity_id: str
:param body: New navigation property values.
:type body: ~devices_cloud_print.models.MicrosoftGraphPrintUserIdentity
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.update_allowed_users.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printUserIdentity-id': self._serialize.url("print_user_identity_id", print_user_identity_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, 'MicrosoftGraphPrintUserIdentity')
body_content_kwargs['content'] = body_content
request = self._client.patch(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
update_allowed_users.metadata = {'url': '/print/printers/{printer-id}/allowedUsers/{printUserIdentity-id}'} # type: ignore
async def delete_allowed_users(
self,
printer_id: str,
print_user_identity_id: str,
if_match: Optional[str] = None,
**kwargs
) -> None:
"""Delete navigation property allowedUsers for print.
Delete navigation property allowedUsers for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_user_identity_id: key: id of printUserIdentity.
:type print_user_identity_id: str
:param if_match: ETag.
:type if_match: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.delete_allowed_users.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printUserIdentity-id': self._serialize.url("print_user_identity_id", print_user_identity_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.delete(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
delete_allowed_users.metadata = {'url': '/print/printers/{printer-id}/allowedUsers/{printUserIdentity-id}'} # type: ignore
def list_connectors(
self,
printer_id: str,
orderby: Optional[List[Union[str, "models.Enum43"]]] = None,
select: Optional[List[Union[str, "models.Enum44"]]] = None,
expand: Optional[List[str]] = None,
**kwargs
) -> AsyncIterable["models.CollectionOfPrintConnector0"]:
"""Get connectors from print.
Get connectors from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param orderby: Order items by property values.
:type orderby: list[str or ~devices_cloud_print.models.Enum43]
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum44]
:param expand: Expand related entities.
:type expand: list[str]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either CollectionOfPrintConnector0 or the result of cls(response)
:rtype: ~azure.core.async_paging.AsyncItemPaged[~devices_cloud_print.models.CollectionOfPrintConnector0]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.CollectionOfPrintConnector0"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
def prepare_request(next_link=None):
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
if not next_link:
# Construct URL
url = self.list_connectors.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if self._config.top is not None:
query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0)
if self._config.skip is not None:
query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0)
if self._config.search is not None:
query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str')
if self._config.filter is not None:
query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str')
if self._config.count is not None:
query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool')
if orderby is not None:
query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',')
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
request = self._client.get(url, query_parameters, header_parameters)
else:
url = next_link
query_parameters = {} # type: Dict[str, Any]
request = self._client.get(url, query_parameters, header_parameters)
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize('CollectionOfPrintConnector0', pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.odata_next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
error = self._deserialize(models.OdataError, response)
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_connectors.metadata = {'url': '/print/printers/{printer-id}/connectors'} # type: ignore
def list_ref_connectors(
self,
printer_id: str,
orderby: Optional[List[Union[str, "models.Enum45"]]] = None,
**kwargs
) -> AsyncIterable["models.CollectionOfLinksOfPrintConnector"]:
"""Get ref of connectors from print.
Get ref of connectors from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param orderby: Order items by property values.
:type orderby: list[str or ~devices_cloud_print.models.Enum45]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either CollectionOfLinksOfPrintConnector or the result of cls(response)
:rtype: ~azure.core.async_paging.AsyncItemPaged[~devices_cloud_print.models.CollectionOfLinksOfPrintConnector]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.CollectionOfLinksOfPrintConnector"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
def prepare_request(next_link=None):
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
if not next_link:
# Construct URL
url = self.list_ref_connectors.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if self._config.top is not None:
query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0)
if self._config.skip is not None:
query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0)
if self._config.search is not None:
query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str')
if self._config.filter is not None:
query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str')
if self._config.count is not None:
query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool')
if orderby is not None:
query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',')
request = self._client.get(url, query_parameters, header_parameters)
else:
url = next_link
query_parameters = {} # type: Dict[str, Any]
request = self._client.get(url, query_parameters, header_parameters)
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize('CollectionOfLinksOfPrintConnector', pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.odata_next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
error = self._deserialize(models.OdataError, response)
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_ref_connectors.metadata = {'url': '/print/printers/{printer-id}/connectors/$ref'} # type: ignore
async def create_ref_connectors(
self,
printer_id: str,
body: Dict[str, object],
**kwargs
) -> Dict[str, object]:
"""Create new navigation property ref to connectors for print.
Create new navigation property ref to connectors for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param body: New navigation property ref value.
:type body: dict[str, object]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: dict mapping str to object, or the result of cls(response)
:rtype: dict[str, object]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[Dict[str, object]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.create_ref_connectors.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, '{object}')
body_content_kwargs['content'] = body_content
request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('{object}', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_ref_connectors.metadata = {'url': '/print/printers/{printer-id}/connectors/$ref'} # type: ignore
async def get_capabilities(
self,
printer_id: str,
**kwargs
) -> "models.MicrosoftGraphPrinterCapabilities":
"""Invoke function getCapabilities.
Invoke function getCapabilities.
:param printer_id: key: id of printer.
:type printer_id: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: MicrosoftGraphPrinterCapabilities, or the result of cls(response)
:rtype: ~devices_cloud_print.models.MicrosoftGraphPrinterCapabilities
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.MicrosoftGraphPrinterCapabilities"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.get_capabilities.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.get(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('MicrosoftGraphPrinterCapabilities', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_capabilities.metadata = {'url': '/print/printers/{printer-id}/microsoft.graph.getCapabilities()'} # type: ignore
async def reset_defaults(
self,
printer_id: str,
**kwargs
) -> None:
"""Invoke action resetDefaults.
Invoke action resetDefaults.
:param printer_id: key: id of printer.
:type printer_id: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.reset_defaults.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.post(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
reset_defaults.metadata = {'url': '/print/printers/{printer-id}/microsoft.graph.resetDefaults'} # type: ignore
async def restore_factory_defaults(
self,
printer_id: str,
**kwargs
) -> None:
"""Invoke action restoreFactoryDefaults.
Invoke action restoreFactoryDefaults.
:param printer_id: key: id of printer.
:type printer_id: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.restore_factory_defaults.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.post(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
restore_factory_defaults.metadata = {'url': '/print/printers/{printer-id}/microsoft.graph.restoreFactoryDefaults'} # type: ignore
async def get_share(
self,
printer_id: str,
select: Optional[List[Union[str, "models.Enum46"]]] = None,
expand: Optional[List[Union[str, "models.Enum47"]]] = None,
**kwargs
) -> "models.MicrosoftGraphPrinterShare":
"""Get share from print.
Get share from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum46]
:param expand: Expand related entities.
:type expand: list[str or ~devices_cloud_print.models.Enum47]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: MicrosoftGraphPrinterShare, or the result of cls(response)
:rtype: ~devices_cloud_print.models.MicrosoftGraphPrinterShare
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.MicrosoftGraphPrinterShare"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.get_share.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.get(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('MicrosoftGraphPrinterShare', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_share.metadata = {'url': '/print/printers/{printer-id}/share'} # type: ignore
async def get_ref_share(
self,
printer_id: str,
**kwargs
) -> str:
"""Get ref of share from print.
Get ref of share from print.
:param printer_id: key: id of printer.
:type printer_id: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: str, or the result of cls(response)
:rtype: str
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[str]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.get_ref_share.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.get(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('str', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_ref_share.metadata = {'url': '/print/printers/{printer-id}/share/$ref'} # type: ignore
async def set_ref_share(
self,
printer_id: str,
body: Dict[str, object],
**kwargs
) -> None:
"""Update the ref of navigation property share in print.
Update the ref of navigation property share in print.
:param printer_id: key: id of printer.
:type printer_id: str
:param body: New navigation property ref values.
:type body: dict[str, object]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.set_ref_share.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, '{object}')
body_content_kwargs['content'] = body_content
request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
set_ref_share.metadata = {'url': '/print/printers/{printer-id}/share/$ref'} # type: ignore
async def delete_ref_share(
self,
printer_id: str,
if_match: Optional[str] = None,
**kwargs
) -> None:
"""Delete ref of navigation property share for print.
Delete ref of navigation property share for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param if_match: ETag.
:type if_match: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.delete_ref_share.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.delete(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
delete_ref_share.metadata = {'url': '/print/printers/{printer-id}/share/$ref'} # type: ignore
def list_shares(
self,
printer_id: str,
orderby: Optional[List[Union[str, "models.Enum48"]]] = None,
select: Optional[List[Union[str, "models.Enum49"]]] = None,
expand: Optional[List[Union[str, "models.Enum50"]]] = None,
**kwargs
) -> AsyncIterable["models.CollectionOfPrinterShare"]:
"""Get shares from print.
Get shares from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param orderby: Order items by property values.
:type orderby: list[str or ~devices_cloud_print.models.Enum48]
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum49]
:param expand: Expand related entities.
:type expand: list[str or ~devices_cloud_print.models.Enum50]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either CollectionOfPrinterShare or the result of cls(response)
:rtype: ~azure.core.async_paging.AsyncItemPaged[~devices_cloud_print.models.CollectionOfPrinterShare]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.CollectionOfPrinterShare"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
def prepare_request(next_link=None):
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
if not next_link:
# Construct URL
url = self.list_shares.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if self._config.top is not None:
query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0)
if self._config.skip is not None:
query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0)
if self._config.search is not None:
query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str')
if self._config.filter is not None:
query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str')
if self._config.count is not None:
query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool')
if orderby is not None:
query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',')
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
request = self._client.get(url, query_parameters, header_parameters)
else:
url = next_link
query_parameters = {} # type: Dict[str, Any]
request = self._client.get(url, query_parameters, header_parameters)
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize('CollectionOfPrinterShare', pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.odata_next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
error = self._deserialize(models.OdataError, response)
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_shares.metadata = {'url': '/print/printers/{printer-id}/shares'} # type: ignore
def list_ref_shares(
self,
printer_id: str,
orderby: Optional[List[Union[str, "models.Enum51"]]] = None,
**kwargs
) -> AsyncIterable["models.CollectionOfLinksOfPrinterShare"]:
"""Get ref of shares from print.
Get ref of shares from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param orderby: Order items by property values.
:type orderby: list[str or ~devices_cloud_print.models.Enum51]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either CollectionOfLinksOfPrinterShare or the result of cls(response)
:rtype: ~azure.core.async_paging.AsyncItemPaged[~devices_cloud_print.models.CollectionOfLinksOfPrinterShare]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.CollectionOfLinksOfPrinterShare"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
def prepare_request(next_link=None):
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
if not next_link:
# Construct URL
url = self.list_ref_shares.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if self._config.top is not None:
query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0)
if self._config.skip is not None:
query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0)
if self._config.search is not None:
query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str')
if self._config.filter is not None:
query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str')
if self._config.count is not None:
query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool')
if orderby is not None:
query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',')
request = self._client.get(url, query_parameters, header_parameters)
else:
url = next_link
query_parameters = {} # type: Dict[str, Any]
request = self._client.get(url, query_parameters, header_parameters)
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize('CollectionOfLinksOfPrinterShare', pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.odata_next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
error = self._deserialize(models.OdataError, response)
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_ref_shares.metadata = {'url': '/print/printers/{printer-id}/shares/$ref'} # type: ignore
async def create_ref_shares(
self,
printer_id: str,
body: Dict[str, object],
**kwargs
) -> Dict[str, object]:
"""Create new navigation property ref to shares for print.
Create new navigation property ref to shares for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param body: New navigation property ref value.
:type body: dict[str, object]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: dict mapping str to object, or the result of cls(response)
:rtype: dict[str, object]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[Dict[str, object]]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.create_ref_shares.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, '{object}')
body_content_kwargs['content'] = body_content
request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('{object}', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_ref_shares.metadata = {'url': '/print/printers/{printer-id}/shares/$ref'} # type: ignore
def list_task_triggers(
self,
printer_id: str,
orderby: Optional[List[Union[str, "models.Enum52"]]] = None,
select: Optional[List[Union[str, "models.Enum53"]]] = None,
expand: Optional[List[Union[str, "models.Enum54"]]] = None,
**kwargs
) -> AsyncIterable["models.CollectionOfPrintTaskTrigger"]:
"""Get taskTriggers from print.
Get taskTriggers from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param orderby: Order items by property values.
:type orderby: list[str or ~devices_cloud_print.models.Enum52]
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum53]
:param expand: Expand related entities.
:type expand: list[str or ~devices_cloud_print.models.Enum54]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either CollectionOfPrintTaskTrigger or the result of cls(response)
:rtype: ~azure.core.async_paging.AsyncItemPaged[~devices_cloud_print.models.CollectionOfPrintTaskTrigger]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.CollectionOfPrintTaskTrigger"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
def prepare_request(next_link=None):
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
if not next_link:
# Construct URL
url = self.list_task_triggers.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if self._config.top is not None:
query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0)
if self._config.skip is not None:
query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0)
if self._config.search is not None:
query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str')
if self._config.filter is not None:
query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str')
if self._config.count is not None:
query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool')
if orderby is not None:
query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',')
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
request = self._client.get(url, query_parameters, header_parameters)
else:
url = next_link
query_parameters = {} # type: Dict[str, Any]
request = self._client.get(url, query_parameters, header_parameters)
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize('CollectionOfPrintTaskTrigger', pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.odata_next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
error = self._deserialize(models.OdataError, response)
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list_task_triggers.metadata = {'url': '/print/printers/{printer-id}/taskTriggers'} # type: ignore
async def create_task_triggers(
self,
printer_id: str,
body: "models.MicrosoftGraphPrintTaskTrigger",
**kwargs
) -> "models.MicrosoftGraphPrintTaskTrigger":
"""Create new navigation property to taskTriggers for print.
Create new navigation property to taskTriggers for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param body: New navigation property.
:type body: ~devices_cloud_print.models.MicrosoftGraphPrintTaskTrigger
:keyword callable cls: A custom type or function that will be passed the direct response
:return: MicrosoftGraphPrintTaskTrigger, or the result of cls(response)
:rtype: ~devices_cloud_print.models.MicrosoftGraphPrintTaskTrigger
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.MicrosoftGraphPrintTaskTrigger"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.create_task_triggers.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, 'MicrosoftGraphPrintTaskTrigger')
body_content_kwargs['content'] = body_content
request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('MicrosoftGraphPrintTaskTrigger', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_task_triggers.metadata = {'url': '/print/printers/{printer-id}/taskTriggers'} # type: ignore
async def get_task_triggers(
self,
printer_id: str,
print_task_trigger_id: str,
select: Optional[List[Union[str, "models.Enum55"]]] = None,
expand: Optional[List[Union[str, "models.Enum56"]]] = None,
**kwargs
) -> "models.MicrosoftGraphPrintTaskTrigger":
"""Get taskTriggers from print.
Get taskTriggers from print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_task_trigger_id: key: id of printTaskTrigger.
:type print_task_trigger_id: str
:param select: Select properties to be returned.
:type select: list[str or ~devices_cloud_print.models.Enum55]
:param expand: Expand related entities.
:type expand: list[str or ~devices_cloud_print.models.Enum56]
:keyword callable cls: A custom type or function that will be passed the direct response
:return: MicrosoftGraphPrintTaskTrigger, or the result of cls(response)
:rtype: ~devices_cloud_print.models.MicrosoftGraphPrintTaskTrigger
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["models.MicrosoftGraphPrintTaskTrigger"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.get_task_triggers.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printTaskTrigger-id': self._serialize.url("print_task_trigger_id", print_task_trigger_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
if select is not None:
query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',')
if expand is not None:
query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.get(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('MicrosoftGraphPrintTaskTrigger', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get_task_triggers.metadata = {'url': '/print/printers/{printer-id}/taskTriggers/{printTaskTrigger-id}'} # type: ignore
async def update_task_triggers(
self,
printer_id: str,
print_task_trigger_id: str,
body: "models.MicrosoftGraphPrintTaskTrigger",
**kwargs
) -> None:
"""Update the navigation property taskTriggers in print.
Update the navigation property taskTriggers in print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_task_trigger_id: key: id of printTaskTrigger.
:type print_task_trigger_id: str
:param body: New navigation property values.
:type body: ~devices_cloud_print.models.MicrosoftGraphPrintTaskTrigger
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.update_task_triggers.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printTaskTrigger-id': self._serialize.url("print_task_trigger_id", print_task_trigger_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, 'MicrosoftGraphPrintTaskTrigger')
body_content_kwargs['content'] = body_content
request = self._client.patch(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
update_task_triggers.metadata = {'url': '/print/printers/{printer-id}/taskTriggers/{printTaskTrigger-id}'} # type: ignore
async def delete_task_triggers(
self,
printer_id: str,
print_task_trigger_id: str,
if_match: Optional[str] = None,
**kwargs
) -> None:
"""Delete navigation property taskTriggers for print.
Delete navigation property taskTriggers for print.
:param printer_id: key: id of printer.
:type printer_id: str
:param print_task_trigger_id: key: id of printTaskTrigger.
:type print_task_trigger_id: str
:param if_match: ETag.
:type if_match: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
accept = "application/json"
# Construct URL
url = self.delete_task_triggers.metadata['url'] # type: ignore
path_format_arguments = {
'printer-id': self._serialize.url("printer_id", printer_id, 'str'),
'printTaskTrigger-id': self._serialize.url("print_task_trigger_id", print_task_trigger_id, 'str'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
if if_match is not None:
header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.delete(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
delete_task_triggers.metadata = {'url': '/print/printers/{printer-id}/taskTriggers/{printTaskTrigger-id}'} # type: ignore
async def create(
self,
body: "models.Paths18VwyqhPrintPrintersMicrosoftGraphCreatePostRequestbodyContentApplicationJsonSchema",
**kwargs
) -> None:
"""Invoke action create.
Invoke action create.
:param body: Action parameters.
:type body: ~devices_cloud_print.models.Paths18VwyqhPrintPrintersMicrosoftGraphCreatePostRequestbodyContentApplicationJsonSchema
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.create.metadata['url'] # type: ignore
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(body, 'Paths18VwyqhPrintPrintersMicrosoftGraphCreatePostRequestbodyContentApplicationJsonSchema')
body_content_kwargs['content'] = body_content
request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize(models.OdataError, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
create.metadata = {'url': '/print/printers/microsoft.graph.create'} # type: ignore
| 47.140656
| 141
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| 0
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| 0.044569
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| 0.012205
| false
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| 0.006509
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| 0.069976
| 0.083808
| 0
| 0
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| null | 0
| 0
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| 1
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0
| 7
|
0e3ea470a8290ecc4ad29fb5fb6603f48e7354b3
| 37,409
|
py
|
Python
|
app/src/run_features.py
|
hamano-tetsuo/splt
|
1ad3db755fb40bc2bd41b6b3eecd9bafa1cef7f7
|
[
"MIT"
] | null | null | null |
app/src/run_features.py
|
hamano-tetsuo/splt
|
1ad3db755fb40bc2bd41b6b3eecd9bafa1cef7f7
|
[
"MIT"
] | null | null | null |
app/src/run_features.py
|
hamano-tetsuo/splt
|
1ad3db755fb40bc2bd41b6b3eecd9bafa1cef7f7
|
[
"MIT"
] | null | null | null |
import pandas as pd
import itertools
import re
import shutil
import os
import pprint as pp
import gc
import joblib
from joblib import Parallel, delayed
import argparse
import preproc_v15
import target_encorder
import util
from preproc import load, create_rank_int_features, create_folds, create_weapon_count_features, create_level_bin_features, \
create_team_agg_features, create_category_features, create_period_features, create_team_agg_diff_features
from util import str2bool, mprof_timestamp, make_hardlink
import logging_config
from logging import getLogger
logger = getLogger("splt")
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('--FOLD_NUM', type=int, default=10)
parser.add_argument('--DO_TEST', action='store_true')
parser.add_argument('--suffix', type=str, default="")
parser.add_argument('--features_path', type=str, default=None)
parser.add_argument('--in_features_path', type=str)
parser.add_argument('--recreate_basic_features', action='store_true')
parser.add_argument('--n_jobs', type=int, default=10)
parser.add_argument('--verbose_joblib', type=int, default=20)
parser.add_argument('--shuffle_folds', type=str2bool, default=True)
parser.add_argument('--stratified_folds', type=str2bool, default=False)
parser.add_argument('--fold_num_enc', type=int, default=4) # 4
parser.add_argument('--min_samples_leaf', type=int, default=1) # 1
parser.add_argument('--stratified_folds_enc', type=str2bool, default=False)
parser.add_argument('--do_smoothing', type=str2bool, default=True)
parser.add_argument('--handle_missing', type=str, choices=["return_nan", "prior", "value"], default="return_nan")
parser.add_argument('--handle_unknown', type=str, choices=["return_nan", "prior"], default="prior")
parser.add_argument('--do_team_agg_mode', type=str2bool, default=False)
args = parser.parse_args()
if args.DO_TEST:
args.FOLD_NUM = 2
if args.fold_num_enc == 0:
args.fold_num_enc = None
args.params_tarenc = {
'fold_num_enc':args.fold_num_enc,
'stratified_fold':args.stratified_folds_enc,
'do_smoothing':args.do_smoothing,
'min_samples_leaf':args.min_samples_leaf,
'smoothing':1.0,
'handle_missing':args.handle_missing,
'handle_unknown':args.handle_unknown
}
args.params_freqenc = {
'handle_missing':args.handle_missing
}
del args.fold_num_enc
timestr = util.get_time_str()
if args.features_path is None: # 出力先を新規作成
args.features_path = "../features/" + timestr + "-" + args.suffix
if args.DO_TEST:
args.features_path = "../features/test"
util.trash(args.features_path)
os.makedirs(args.features_path, exist_ok=False)
else: # 既存のdirに出力
if args.DO_TEST:
args.features_path = "../features/test"
os.makedirs(args.features_path, exist_ok=True)
logging_config.init(f"{args.features_path}/log_{timestr}.log")
logger.info(f"features_path = {args.features_path}")
logger.info("args =\n" + pp.pformat(vars(args)))
util.dump_json(vars(args), f"{args.features_path}/args_{timestr}.json")
shutil.copytree("../src", args.features_path + "/src_" + timestr)
mprof_timestamp("basic")
def create_team_agg_features_wrp(merge):
ma = merge[[c for c in merge.columns if re.match("A[1234]-(level|rank-int)", c)]]
mb = merge[[c for c in merge.columns if re.match("B[1234]-(level|rank-int)", c)]]
ma_agg = create_team_agg_features(ma, "A")
ma234_agg = create_team_agg_features(ma, "A234")
mb_agg = create_team_agg_features(mb, "B")
m_diff = create_team_agg_diff_features(ma_agg, mb_agg)
m_diff_a234b = create_team_agg_diff_features(ma234_agg, mb_agg)
ma234_agg.columns = [c + "-tA234" for c in ma234_agg.columns]
m_diff_a234b.columns = [c + "-tA234B" for c in m_diff_a234b.columns]
m_all = pd.concat([ma_agg, mb_agg, ma234_agg, m_diff, m_diff_a234b], axis=1)
return m_all
if (not args.recreate_basic_features) and os.path.exists(f"{args.in_features_path}/merge_wc.joblib"):
if args.in_features_path != args.features_path:
logger.info(f"Make hardlink from {args.in_features_path}")
make_hardlink(args.in_features_path + "/merge.joblib", args.features_path)
make_hardlink(args.in_features_path + "/merge_tm.joblib", args.features_path)
make_hardlink(args.in_features_path + "/merge_agg.joblib", args.features_path)
make_hardlink(args.in_features_path + "/merge_agg_v15.joblib", args.features_path)
make_hardlink(args.in_features_path + "/merge_wc.joblib", args.features_path)
else:
logger.info("Pass basic features")
else:
logger.info("Create basic features")
merge, col_weapon_names = load(args.DO_TEST)
merge["fold"] = create_folds(merge, args.FOLD_NUM, args.shuffle_folds, args.stratified_folds) # Foldは事前に決めとく（TargetEncのため）
m = create_rank_int_features(merge)
merge[m.columns] = m
merge_agg_v15 = preproc_v15.create_team_agg_features(merge)
m = create_level_bin_features(merge, q=10)
merge[m.columns] = m
m = create_level_bin_features(merge, q=20)
merge[m.columns] = m
m = create_level_bin_features(merge, q=5)
merge[m.columns] = m
merge_tm = create_period_features(merge)
merge_agg = create_team_agg_features_wrp(merge)
merge_wc = create_weapon_count_features(merge, col_weapon_names + ["rank"])
logger.info("Conving to category type")
m = create_category_features(merge)
merge[m.columns] = m
m = create_category_features(merge_wc)
merge_wc[m.columns] = m
logger.info("Saving features (No TarEnc)")
joblib.dump(merge, args.features_path + "/merge.joblib", compress=4)
joblib.dump(merge_tm, args.features_path + "/merge_tm.joblib", compress=4)
joblib.dump(merge_agg, args.features_path + "/merge_agg.joblib", compress=4)
joblib.dump(merge_agg_v15, args.features_path + "/merge_agg-v15.joblib", compress=4)
joblib.dump(merge_wc, args.features_path + "/merge_wc.joblib", compress=4)
del merge, merge_tm, merge_agg, merge_agg_v15, merge_wc
gc.collect()
#####################################################
def create_tarenc_features_1fold(fold, mode_target_persons, mode_target_cols :str, mode_enc :str):
"""
Args:
mode_target_cols:ベースの列-層別追加列
basic-no
basic-period
basic-period_date
level_bin_q10-no
A1user-period
など。。。
"""
logging_config.init()
fname = f"merge_{mode_enc}-{mode_target_persons}-{mode_target_cols}"
if fold is not None:
fname = fname + f"-f{fold:02d}"
if os.path.exists(f"{args.features_path}/{fname}.joblib"):
assert False, fname
if os.path.exists(f"{args.in_features_path}/{fname}.joblib"):
if args.in_features_path != args.features_path:
logger.info(f"Make features hardlink {fname} from {args.in_features_path}")
make_hardlink(args.in_features_path + f"/{fname}.joblib", args.features_path)
else:
logger.info(f"Pass features {fname}")
return
if mode_target_persons == "all":
do_add_cnt_list = [False, True]
target_persons = [mode_target_persons]
elif mode_target_persons == "NoA1":
do_add_cnt_list = [False]
target_persons = [mode_target_persons]
elif mode_target_persons == "EachP":
do_add_cnt_list = [False]
target_persons = ["A1", "A2", "A3", "A4", "B1", "B2", "B3", "B4"]
elif mode_target_persons == "A1":
do_add_cnt_list = [False]
target_persons = ["A1"]
elif mode_target_persons == "A234":
do_add_cnt_list = [False]
target_persons = [mode_target_persons]
elif mode_target_persons == "B":
do_add_cnt_list = [False]
target_persons = [mode_target_persons]
else:
assert False, mode_target_persons
merge, col_weapon_names = load(args.DO_TEST)
merge["fold"] = create_folds(merge, args.FOLD_NUM, args.shuffle_folds, args.stratified_folds)
m = create_period_features(merge)
merge[m.columns] = m
m = create_level_bin_features(merge, q=10)
merge[m.columns] = m
m = create_level_bin_features(merge, q=20)
merge[m.columns] = m
m = create_level_bin_features(merge, q=5)
merge[m.columns] = m
merge["A1-dum"] = "dum"
if args.DO_TEST: # 時間がかかるので間引く
logger.info("【TEST_MODE】Remove col_weapon for tarenc.")
col_weapon_names = ["weapon", "weapon_cat1"]
mtc1, mtc2 = mode_target_cols.split("-")
if mtc1 == "basic":
col_types_per_person_all = [[c] for c in col_weapon_names + ["rank", "level"]] # 単品
col_types_per_person_all += [[c, "rank"] for c in col_weapon_names] # weapon系×rank
col_types_per_person_all += [[c, "level"] for c in col_weapon_names] # weapon系×level
col_types_per_person_all += [["rank", "level"]] # rank×level
col_types_per_person_all += [[c, "rank", "level"] for c in col_weapon_names] # weapon系×level×rank
elif mtc1 in ["level_bin", "level_bin_q20", "level_bin_q5"]:
if mtc1 == "level_bin":
levels = ["level_bin_q10"]
else:
levels = [mtc1]
col_types_per_person_all = [[c] for c in levels] # 単品
col_types_per_person_all += list(itertools.product(levels, col_weapon_names)) # weapon系×level
col_types_per_person_all += list(itertools.product(levels, ["rank"])) # rank×level
col_types_per_person_all += list(itertools.product(levels, col_weapon_names, ["rank"])) # weapon系×level×rank
elif mtc1 == "A1user":
levels = ["level_bin", "uid"]
col_types_per_person_all = [[c] for c in levels] # 単品
col_types_per_person_all += list(itertools.product(levels, col_weapon_names)) # weapon系×level
col_types_per_person_all += list(itertools.product(levels, ["rank"])) # rank×level
col_types_per_person_all += list(itertools.product(levels, col_weapon_names, ["rank"])) # weapon系×level×rank
do_add_cnt_list = [False]
elif mtc1 == "no":
col_types_per_person_all = [["dum"]]
do_add_cnt_list = [False]
else:
assert False, mode_target_cols
if mtc2 == "no":
cols_per_row_all = [[], ["mode"], ["stage"], ["mode", "stage"], ['lobby-mode'], ["lobby-mode", "stage"]]
if mtc1 == "no":
cols_per_row_all = cols_per_row_all[1:] # 空は除く
elif mtc2 in ["period", "period_date", "period_2W", "period_weekday_period_hour", "period_4hour"]:
if mtc2 == "period_weekday_period_hour":
periods = ["period_weekday", "period_hour"]
else:
periods = [mtc2]
cols_per_row_all = [[], ["mode"], ["stage"], ["mode", "stage"], ['lobby-mode'], ["lobby-mode", "stage"]]
cols_per_row_all = [x + periods for x in cols_per_row_all]
do_add_cnt_list = [False]
else:
assert False, mode_target_cols
mts = []
for do_add_cnt in do_add_cnt_list:
for tp in target_persons:
logger.info(f"Create features {mode_enc} fold={fold} cnt={do_add_cnt} tp={tp} tc={mode_target_cols}")
if mode_enc == "tarenc":
mt = target_encorder.create_features_1fold(
merge=merge, fold=fold,
col_types_per_person_all=col_types_per_person_all,
cols_per_row_all=cols_per_row_all,
do_add_cnt=do_add_cnt, target_persons=tp,
**args.params_tarenc)
elif mode_enc == "freqenc":
mt = target_encorder.create_freqenc_features(
merge=merge,
col_types_per_person_all=col_types_per_person_all,
cols_per_row_all=cols_per_row_all,
do_add_cnt=do_add_cnt, target_persons=tp,
**args.params_freqenc)
else:
assert False, mode_enc
mts.append(mt)
mt_mrg = pd.concat(mts, axis=1)
assert not mt_mrg.columns.duplicated().any()
logger.info(f"Saving features {fname}")
joblib.dump(mt_mrg, args.features_path + f"/{fname}.joblib", compress=4)
return None
def create_tarenc_features(mode_target_persons, mode_target_cols):
logger.info(f"tarenc_tp{mode_target_persons}_tc{mode_target_cols}")
mprof_timestamp(f"tarenc_tp{mode_target_persons}_tc{mode_target_cols}")
_ = Parallel(n_jobs=args.n_jobs, verbose=args.verbose_joblib) \
([delayed(create_tarenc_features_1fold)(fold, mode_target_persons, mode_target_cols, "tarenc") for fold in range(args.FOLD_NUM)])
def create_freqenc_features(mode_target_persons, mode_target_cols):
logger.info(f"freqenc_tp{mode_target_persons}_tc{mode_target_cols}")
mprof_timestamp(f"freqenc_tp{mode_target_persons}_tc{mode_target_cols}")
create_tarenc_features_1fold(None, mode_target_persons, mode_target_cols, "freqenc")
######
def create_tarenc_agg_features_1fold(fold, mode_target_persons, mode_target_cols, mode_enc: str):
logging_config.init()
fname = f"merge_{mode_enc}_agg-{mode_target_persons}-{mode_target_cols}"
if fold is not None:
fname = fname + f"-f{fold:02d}"
if os.path.exists(f"{args.features_path}/{fname}.joblib"):
assert False, fname
if os.path.exists(f"{args.in_features_path}/{fname}.joblib"):
if args.in_features_path != args.features_path:
logger.info(f"Make features hardlink {fname} from {args.in_features_path}")
make_hardlink(args.in_features_path + f"/{fname}.joblib", args.features_path)
else:
logger.info(f"Pass features {fname}")
return
logger.info(f"Load features for {fname}")
if fold is None:
f = ""
else:
f = f"-f{fold:02d}"
if mode_target_persons in ["all", "EachP", "NoA1"]:
merge = joblib.load(args.features_path + f"/merge_{mode_enc}-{mode_target_persons}-{mode_target_cols}{f}.joblib")
ma = merge[[c for c in merge.columns if re.match("A[1234]-", c)]]
mb = merge[[c for c in merge.columns if re.match("B[1234]-", c)]]
if mode_target_persons == "NoA1":
mtc_a = "A234"
else:
mtc_a = "A"
itm_a = False
itm_diff = False
sfx_a = None
sfx_diff = None
elif mode_target_persons in ["A234B"]:
ma = joblib.load(args.features_path + f"/merge_{mode_enc}-A234-{mode_target_cols}{f}.joblib")
mb = joblib.load(args.features_path + f"/merge_{mode_enc}-B-{mode_target_cols}{f}.joblib")
mtc_a = "A234"
itm_a = False
itm_diff = True
sfx_a = None
sfx_diff = f"-tA234B-{mode_enc}"
elif mode_target_persons in ["A1A234B"]:
ma1 = joblib.load(args.features_path + f"/merge_{mode_enc}-EachP-{mode_target_cols}{f}.joblib")
ma1 = ma1[[c for c in ma1.columns if re.match("A1-", c)]]
ma234 = joblib.load(args.features_path + f"/merge_{mode_enc}-A234-{mode_target_cols}{f}.joblib")
ma = pd.concat([ma1, ma234], axis=1)
mb = joblib.load(args.features_path + f"/merge_{mode_enc}-B-{mode_target_cols}{f}.joblib")
mtc_a = "A"
itm_a = True
itm_diff = True
sfx_a = f"-tA1A234-{mode_enc}"
sfx_diff = f"-tA1A234B-{mode_enc}"
else:
assert False, mode_target_persons
logger.info(f"Create features {fname}")
m_agg_a = create_team_agg_features(ma, mtc_a, itm_a, sfx_a, do_mode=args.do_team_agg_mode)
m_agg_b = create_team_agg_features(mb, "B", False, None, do_mode=args.do_team_agg_mode)
m_diff = create_team_agg_diff_features(m_agg_a, m_agg_b, itm_diff, sfx_diff)
m_agg_all = pd.concat([m_agg_a, m_agg_b, m_diff], axis=1)
logger.info(f"Saving features {fname}")
joblib.dump(m_agg_all, args.features_path + f"/{fname}.joblib", compress=4)
def create_tarenc_agg_features(mode_target_persons, mode_target_cols):
logger.info(f"tarenc_agg_tp{mode_target_persons}_tc{mode_target_cols}")
mprof_timestamp(f"tarenc_agg_tp{mode_target_persons}_tc{mode_target_cols}")
_ = Parallel(n_jobs=args.n_jobs//2, verbose=args.verbose_joblib) \
([delayed(create_tarenc_agg_features_1fold)(fold, mode_target_persons, mode_target_cols, "tarenc") for fold in range(args.FOLD_NUM)])
def create_freqenc_agg_features(mode_target_persons, mode_target_cols):
logger.info(f"freqenc_agg_tp{mode_target_persons}_tc{mode_target_cols}")
mprof_timestamp(f"freqenc_agg_tp{mode_target_persons}_tc{mode_target_cols}")
create_tarenc_agg_features_1fold(None, mode_target_persons, mode_target_cols, "freqenc")
#######
create_tarenc_features(mode_target_persons="A1", mode_target_cols="A1user-no")
mtc="basic-no"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
mtc="level_bin-no"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
mtc="basic-period_2W"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
mtc="level_bin-period_2W"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
mtc="basic-period_date"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
mtc="level_bin-period_date"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
mtc="basic-no"
create_freqenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_freqenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_freqenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_freqenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_freqenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
mtc="level_bin-no"
create_freqenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_freqenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_freqenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_freqenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_freqenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_freqenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
###
mtc="basic-period"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
mtc="level_bin-period"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
###
create_tarenc_features(mode_target_persons="A1", mode_target_cols="A1user-period")
create_tarenc_features(mode_target_persons="A1", mode_target_cols="A1user-period_weekday_period_hour")
mtc="level_bin_q20-no"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
mtc="level_bin_q20-period"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
mtc = "basic-period_weekday_period_hour"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
mtc = "level_bin-period_weekday_period_hour"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A1", mode_target_cols="no-no")
create_tarenc_features(mode_target_persons="A1", mode_target_cols="no-period")
create_tarenc_features(mode_target_persons="A1", mode_target_cols="no-period_weekday_period_hour")
###
create_tarenc_features(mode_target_persons="A1", mode_target_cols="A1user-period_date")
create_tarenc_features(mode_target_persons="A1", mode_target_cols="A1user-period_2W")
create_tarenc_features(mode_target_persons="A1", mode_target_cols="no-period_date")
create_tarenc_features(mode_target_persons="A1", mode_target_cols="no-period_2W")
mtc="level_bin_q20-period_2W"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
mtc="level_bin_q20-period_date"
create_tarenc_features(mode_target_persons="all", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols=mtc)
###
mtc="level_bin_q20-no"
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="A234", mode_target_cols=mtc)
create_tarenc_features(mode_target_persons="B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols=mtc)
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols=mtc)
###
create_freqenc_features(mode_target_persons="A1", mode_target_cols="A1user-no")
create_freqenc_features(mode_target_persons="A1", mode_target_cols="A1user-period")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="basic-period")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="level_bin-period")
###
create_freqenc_features(mode_target_persons="A1", mode_target_cols="no-no")
create_freqenc_features(mode_target_persons="A1", mode_target_cols="no-period")
create_freqenc_features(mode_target_persons="A1", mode_target_cols="no-period_date")
create_freqenc_features(mode_target_persons="A1", mode_target_cols="no-period_2W")
create_freqenc_features(mode_target_persons="A1", mode_target_cols="no-period_weekday_period_hour")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="basic-period_date")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="basic-period_2W")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="basic-period_weekday_period_hour")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_date")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_2W")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_weekday_period_hour")
create_freqenc_features(mode_target_persons="A1", mode_target_cols="A1user-period_date")
create_freqenc_features(mode_target_persons="A1", mode_target_cols="A1user-period_2W")
create_freqenc_features(mode_target_persons="A1", mode_target_cols="A1user-period_weekday_period_hour")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="basic-period")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="basic-period_date")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="basic-period_2W")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="basic-period_weekday_period_hour")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin-period")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_date")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_2W")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_weekday_period_hour")
###
create_tarenc_features(mode_target_persons="all", mode_target_cols="level_bin_q5-no")
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols="level_bin_q5-no")
create_tarenc_features(mode_target_persons="EachP", mode_target_cols="level_bin_q5-no")
create_tarenc_features(mode_target_persons="all", mode_target_cols="level_bin_q5-period")
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols="level_bin_q5-period")
create_tarenc_features(mode_target_persons="EachP", mode_target_cols="level_bin_q5-period")
create_tarenc_features(mode_target_persons="all", mode_target_cols="basic-period_4hour")
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols="basic-period_4hour")
create_tarenc_features(mode_target_persons="EachP", mode_target_cols="basic-period_4hour")
create_tarenc_features(mode_target_persons="all", mode_target_cols="level_bin-period_4hour")
create_tarenc_agg_features(mode_target_persons="all", mode_target_cols="level_bin-period_4hour")
create_tarenc_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_4hour")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="level_bin_q5-no")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="level_bin_q5-period")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="basic-period_4hour")
create_freqenc_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_4hour")
###
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols="level_bin_q5-no")
create_tarenc_features(mode_target_persons="A234", mode_target_cols="level_bin_q5-no")
create_tarenc_features(mode_target_persons="B", mode_target_cols="level_bin_q5-no")
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols="level_bin_q5-no")
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols="level_bin_q5-no")
###
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols="level_bin_q5-period")
create_tarenc_features(mode_target_persons="A234", mode_target_cols="level_bin_q5-period")
create_tarenc_features(mode_target_persons="B", mode_target_cols="level_bin_q5-period")
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols="level_bin_q5-period")
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols="level_bin_q5-period")
###
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols="basic-period_4hour")
create_tarenc_features(mode_target_persons="A234", mode_target_cols="basic-period_4hour")
create_tarenc_features(mode_target_persons="B", mode_target_cols="basic-period_4hour")
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols="basic-period_4hour")
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols="basic-period_4hour")
###
create_tarenc_features(mode_target_persons="NoA1", mode_target_cols="level_bin-period_4hour")
create_tarenc_features(mode_target_persons="A234", mode_target_cols="level_bin-period_4hour")
create_tarenc_features(mode_target_persons="B", mode_target_cols="level_bin-period_4hour")
create_tarenc_agg_features(mode_target_persons="NoA1", mode_target_cols="level_bin-period_4hour")
create_tarenc_agg_features(mode_target_persons="A1A234B", mode_target_cols="level_bin-period_4hour")
###
create_freqenc_features(mode_target_persons="NoA1", mode_target_cols="level_bin_q5-no")
create_freqenc_agg_features(mode_target_persons="NoA1", mode_target_cols="level_bin_q5-no")
create_freqenc_features(mode_target_persons="NoA1", mode_target_cols="level_bin_q5-period")
create_freqenc_agg_features(mode_target_persons="NoA1", mode_target_cols="level_bin_q5-period")
create_freqenc_features(mode_target_persons="NoA1", mode_target_cols="basic-period_4hour")
create_freqenc_agg_features(mode_target_persons="NoA1", mode_target_cols="basic-period_4hour")
create_freqenc_features(mode_target_persons="NoA1", mode_target_cols="level_bin-period_4hour")
create_freqenc_agg_features(mode_target_persons="NoA1", mode_target_cols="level_bin-period_4hour")
###
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin_q5-no")
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols="level_bin_q5-no")
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin_q5-period")
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols="level_bin_q5-period")
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols="basic-period_4hour")
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols="basic-period_4hour")
create_tarenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_4hour")
create_tarenc_agg_features(mode_target_persons="A234B", mode_target_cols="level_bin-period_4hour")
###
create_freqenc_features(mode_target_persons="all", mode_target_cols="level_bin_q5-no")
create_freqenc_features(mode_target_persons="A234", mode_target_cols="level_bin_q5-no")
create_freqenc_features(mode_target_persons="B", mode_target_cols="level_bin_q5-no")
create_freqenc_agg_features(mode_target_persons="all", mode_target_cols="level_bin_q5-no")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin_q5-no")
create_freqenc_agg_features(mode_target_persons="A234B", mode_target_cols="level_bin_q5-no")
create_freqenc_agg_features(mode_target_persons="A1A234B", mode_target_cols="level_bin_q5-no")
create_freqenc_features(mode_target_persons="all", mode_target_cols="level_bin_q5-period")
create_freqenc_features(mode_target_persons="A234", mode_target_cols="level_bin_q5-period")
create_freqenc_features(mode_target_persons="B", mode_target_cols="level_bin_q5-period")
create_freqenc_agg_features(mode_target_persons="all", mode_target_cols="level_bin_q5-period")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin_q5-period")
create_freqenc_agg_features(mode_target_persons="A234B", mode_target_cols="level_bin_q5-period")
create_freqenc_agg_features(mode_target_persons="A1A234B", mode_target_cols="level_bin_q5-period")
create_freqenc_features(mode_target_persons="all", mode_target_cols="basic-period_4hour")
create_freqenc_features(mode_target_persons="A234", mode_target_cols="basic-period_4hour")
create_freqenc_features(mode_target_persons="B", mode_target_cols="basic-period_4hour")
create_freqenc_agg_features(mode_target_persons="all", mode_target_cols="basic-period_4hour")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="basic-period_4hour")
create_freqenc_agg_features(mode_target_persons="A234B", mode_target_cols="basic-period_4hour")
create_freqenc_agg_features(mode_target_persons="A1A234B", mode_target_cols="basic-period_4hour")
create_freqenc_features(mode_target_persons="all", mode_target_cols="level_bin-period_4hour")
create_freqenc_features(mode_target_persons="A234", mode_target_cols="level_bin-period_4hour")
create_freqenc_features(mode_target_persons="B", mode_target_cols="level_bin-period_4hour")
create_freqenc_agg_features(mode_target_persons="all", mode_target_cols="level_bin-period_4hour")
create_freqenc_agg_features(mode_target_persons="EachP", mode_target_cols="level_bin-period_4hour")
create_freqenc_agg_features(mode_target_persons="A234B", mode_target_cols="level_bin-period_4hour")
create_freqenc_agg_features(mode_target_persons="A1A234B", mode_target_cols="level_bin-period_4hour")
#######################################
logger.info("Finish all")
| 47.654777
| 145
| 0.781924
| 5,550
| 37,409
| 4.807207
| 0.041982
| 0.206147
| 0.177136
| 0.229573
| 0.869303
| 0.842504
| 0.822264
| 0.79524
| 0.777061
| 0.768516
| 0
| 0.016813
| 0.101713
| 37,409
| 784
| 146
| 47.715561
| 0.776753
| 0.010292
| 0
| 0.415652
| 0
| 0.001739
| 0.176835
| 0.062069
| 0
| 0
| 0
| 0
| 0.013913
| 1
| 0.012174
| false
| 0.005217
| 0.029565
| 0
| 0.048696
| 0.001739
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| null | 0
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|
0
| 8
|
0e47cbe35d26d31b25801a06f06ceb63e5621bba
| 13,404
|
py
|
Python
|
watertap/unit_models/zero_order/tests/test_vfa_recovery_zo.py
|
dangunter/watertap
|
5fe94e4c27dc1ae9e2872960e4183dccadd42d8e
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
watertap/unit_models/zero_order/tests/test_vfa_recovery_zo.py
|
dangunter/watertap
|
5fe94e4c27dc1ae9e2872960e4183dccadd42d8e
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
watertap/unit_models/zero_order/tests/test_vfa_recovery_zo.py
|
dangunter/watertap
|
5fe94e4c27dc1ae9e2872960e4183dccadd42d8e
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
###############################################################################
# WaterTAP Copyright (c) 2021, The Regents of the University of California,
# through Lawrence Berkeley National Laboratory, Oak Ridge National
# Laboratory, National Renewable Energy Laboratory, and National Energy
# Technology Laboratory (subject to receipt of any required approvals from
# the U.S. Dept. of Energy). All rights reserved.
#
# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license
# information, respectively. These files are also available online at the URL
# "https://github.com/watertap-org/watertap/"
#
###############################################################################
"""
Tests for zero-order VFA recovery model
"""
import pytest
from io import StringIO
from pyomo.environ import (
ConcreteModel, Constraint, value, Var, assert_optimal_termination)
from pyomo.util.check_units import assert_units_consistent
from idaes.core import FlowsheetBlock
from idaes.core.util import get_solver
from idaes.core.util.model_statistics import degrees_of_freedom
from idaes.core.util.testing import initialization_tester
from watertap.unit_models.zero_order import VFARecoveryZO
from watertap.core.wt_database import Database
from watertap.core.zero_order_properties import WaterParameterBlock
solver = get_solver()
class TestVFARecoveryZO_no_default:
@pytest.fixture(scope="class")
def model(self):
m = ConcreteModel()
m.db = Database()
m.fs = FlowsheetBlock(default={"dynamic": False})
m.fs.params = WaterParameterBlock(
default={"solute_list": ["nonbiodegradable_cod"]})
m.fs.unit = VFARecoveryZO(default={
"property_package": m.fs.params,
"database": m.db})
m.fs.unit.inlet.flow_mass_comp[0, "H2O"].fix(10)
m.fs.unit.inlet.flow_mass_comp[0, "nonbiodegradable_cod"].fix(1)
return m
@pytest.mark.unit
def test_build(self, model):
assert model.fs.unit.config.database is model.db
assert isinstance(model.fs.unit.electricity, Var)
assert isinstance(model.fs.unit.energy_electric_flow_vol_inlet, Var)
assert isinstance(model.fs.unit.electricity_consumption, Constraint)
@pytest.mark.component
def test_load_parameters(self, model):
data = model.db.get_unit_operation_parameters("vfa_recovery")
model.fs.unit.load_parameters_from_database()
assert model.fs.unit.recovery_frac_mass_H2O[0].fixed
assert model.fs.unit.recovery_frac_mass_H2O[0].value == \
data["recovery_frac_mass_H2O"]["value"]
for (t, j), v in model.fs.unit.removal_frac_mass_solute.items():
assert v.fixed
assert v.value == data["removal_frac_mass_solute"][j]["value"]
assert model.fs.unit.energy_electric_flow_vol_inlet.fixed
assert model.fs.unit.energy_electric_flow_vol_inlet.value == data[
"energy_electric_flow_vol_inlet"]["value"]
@pytest.mark.component
def test_degrees_of_freedom(self, model):
assert degrees_of_freedom(model.fs.unit) == 0
@pytest.mark.component
def test_unit_consistency(self, model):
assert_units_consistent(model.fs.unit)
@pytest.mark.component
def test_initialize(self, model):
initialization_tester(model)
@pytest.mark.solver
@pytest.mark.skipif(solver is None, reason="Solver not available")
@pytest.mark.component
def test_solve(self, model):
results = solver.solve(model)
# Check for optimal solution
assert_optimal_termination(results)
@pytest.mark.solver
@pytest.mark.skipif(solver is None, reason="Solver not available")
@pytest.mark.component
def test_solution(self, model):
assert (pytest.approx(0.011, rel=1e-5) ==
value(model.fs.unit.properties_in[0].flow_vol))
assert (pytest.approx(90.909090, rel=1e-5) ==
value(model.fs.unit.properties_in[0].conc_mass_comp["nonbiodegradable_cod"]))
assert (pytest.approx(0.0105, rel=1e-5) ==
value(model.fs.unit.properties_treated[0].flow_vol))
assert (pytest.approx(47.619047, rel=1e-5) ==
value(model.fs.unit.properties_treated[0].conc_mass_comp["nonbiodegradable_cod"]))
assert (pytest.approx(0.0005, rel=1e-5) ==
value(model.fs.unit.properties_byproduct[0].flow_vol))
assert (pytest.approx(1000.0, rel=1e-5) ==
value(model.fs.unit.properties_byproduct[0].conc_mass_comp["nonbiodegradable_cod"]))
assert (pytest.approx(0, abs=1e-5) ==
value(model.fs.unit.electricity[0]))
@pytest.mark.solver
@pytest.mark.skipif(solver is None, reason="Solver not available")
@pytest.mark.component
def test_conservation(self, model):
for j in model.fs.params.component_list:
assert 1e-6 >= abs(value(
model.fs.unit.inlet.flow_mass_comp[0, j] -
model.fs.unit.treated.flow_mass_comp[0, j] -
model.fs.unit.byproduct.flow_mass_comp[0, j]))
@pytest.mark.component
def test_report(self, model):
stream = StringIO()
model.fs.unit.report(ostream=stream)
output = """
====================================================================================
Unit : fs.unit Time: 0.0
------------------------------------------------------------------------------------
Unit Performance
Variables:
Key : Value : Fixed : Bounds
Electricity Demand : 8.0000e-10 : False : (0, None)
Electricity Intensity : 0.0000 : True : (None, None)
Solute Removal [nonbiodegradable_cod] : 0.50000 : True : (0, None)
Water Recovery : 1.0000 : True : (1e-08, 1.0000001)
------------------------------------------------------------------------------------
Stream Table
Inlet Treated Byproduct
Volumetric Flowrate 0.011000 0.010500 0.00050000
Mass Concentration H2O 909.09 952.38 1.6000e-06
Mass Concentration nonbiodegradable_cod 90.909 47.619 1000.0
====================================================================================
"""
assert output in stream.getvalue()
class TestVFARecoveryZO_w_default_removal:
@pytest.fixture(scope="class")
def model(self):
m = ConcreteModel()
m.db = Database()
m.fs = FlowsheetBlock(default={"dynamic": False})
m.fs.params = WaterParameterBlock(
default={"solute_list": ["nonbiodegradable_cod", "foo"]})
m.fs.unit = VFARecoveryZO(default={
"property_package": m.fs.params,
"database": m.db})
m.fs.unit.inlet.flow_mass_comp[0, "H2O"].fix(10)
m.fs.unit.inlet.flow_mass_comp[0, "nonbiodegradable_cod"].fix(1)
m.fs.unit.inlet.flow_mass_comp[0, "foo"].fix(1)
return m
@pytest.mark.unit
def test_build(self, model):
assert model.fs.unit.config.database == model.db
assert isinstance(model.fs.unit.electricity, Var)
assert isinstance(model.fs.unit.energy_electric_flow_vol_inlet, Var)
assert isinstance(model.fs.unit.electricity_consumption, Constraint)
@pytest.mark.component
def test_load_parameters(self, model):
data = model.db.get_unit_operation_parameters("vfa_recovery")
model.fs.unit.load_parameters_from_database(use_default_removal=True)
assert model.fs.unit.recovery_frac_mass_H2O[0].fixed
assert model.fs.unit.recovery_frac_mass_H2O[0].value == \
data["recovery_frac_mass_H2O"]["value"]
for (t, j), v in model.fs.unit.removal_frac_mass_solute.items():
assert v.fixed
if j == "foo":
assert v.value == data["default_removal_frac_mass_solute"]["value"]
else:
assert v.value == data["removal_frac_mass_solute"][j]["value"]
assert model.fs.unit.energy_electric_flow_vol_inlet.fixed
assert model.fs.unit.energy_electric_flow_vol_inlet.value == data[
"energy_electric_flow_vol_inlet"]["value"]
@pytest.mark.component
def test_degrees_of_freedom(self, model):
assert degrees_of_freedom(model.fs.unit) == 0
@pytest.mark.component
def test_unit_consistency(self, model):
assert_units_consistent(model.fs.unit)
@pytest.mark.component
def test_initialize(self, model):
initialization_tester(model)
@pytest.mark.solver
@pytest.mark.skipif(solver is None, reason="Solver not available")
@pytest.mark.component
def test_solve(self, model):
results = solver.solve(model)
# Check for optimal solution
assert_optimal_termination(results)
@pytest.mark.solver
@pytest.mark.skipif(solver is None, reason="Solver not available")
@pytest.mark.component
def test_solution(self, model):
assert (pytest.approx(0.012, rel=1e-5) ==
value(model.fs.unit.properties_in[0].flow_vol))
assert (pytest.approx(83.333, rel=1e-5) ==
value(model.fs.unit.properties_in[0].conc_mass_comp["nonbiodegradable_cod"]))
assert (pytest.approx(83.333, rel=1e-5) ==
value(model.fs.unit.properties_in[0].conc_mass_comp["foo"]))
assert (pytest.approx(0.0115, rel=1e-5) ==
value(model.fs.unit.properties_treated[0].flow_vol))
assert (pytest.approx(43.478261, rel=1e-5) ==
value(model.fs.unit.properties_treated[0].conc_mass_comp["nonbiodegradable_cod"]))
assert (pytest.approx(86.95652, rel=1e-5) ==
value(model.fs.unit.properties_treated[0].conc_mass_comp["foo"]))
assert (pytest.approx(0.0005, rel=1e-5) ==
value(model.fs.unit.properties_byproduct[0].flow_vol))
assert (pytest.approx(1000.0, rel=1e-5) ==
value(model.fs.unit.properties_byproduct[0].conc_mass_comp["nonbiodegradable_cod"]))
assert (pytest.approx(1.6e-06, rel=1e-5) ==
value(model.fs.unit.properties_byproduct[0].conc_mass_comp["foo"]))
assert (pytest.approx(0, abs=1e-5) ==
value(model.fs.unit.electricity[0]))
@pytest.mark.solver
@pytest.mark.skipif(solver is None, reason="Solver not available")
@pytest.mark.component
def test_conservation(self, model):
for j in model.fs.params.component_list:
assert 1e-6 >= abs(value(
model.fs.unit.inlet.flow_mass_comp[0, j] -
model.fs.unit.treated.flow_mass_comp[0, j] -
model.fs.unit.byproduct.flow_mass_comp[0, j]))
@pytest.mark.component
def test_report(self, model):
stream = StringIO()
model.fs.unit.report(ostream=stream)
output = """
====================================================================================
Unit : fs.unit Time: 0.0
------------------------------------------------------------------------------------
Unit Performance
Variables:
Key : Value : Fixed : Bounds
Electricity Demand : 8.0000e-10 : False : (0, None)
Electricity Intensity : 0.0000 : True : (None, None)
Solute Removal [foo] : 0.0000 : True : (0, None)
Solute Removal [nonbiodegradable_cod] : 0.50000 : True : (0, None)
Water Recovery : 1.0000 : True : (1e-08, 1.0000001)
------------------------------------------------------------------------------------
Stream Table
Inlet Treated Byproduct
Volumetric Flowrate 0.012000 0.011500 0.00050000
Mass Concentration H2O 833.33 869.57 1.6000e-06
Mass Concentration nonbiodegradable_cod 83.333 43.478 1000.0
Mass Concentration foo 83.333 86.957 1.6000e-06
====================================================================================
"""
assert output in stream.getvalue()
db = Database()
params = db._get_technology("vfa_recovery")
class Test_VFARecovery_ZOsubtype:
@pytest.fixture(scope="class")
def model(self):
m = ConcreteModel()
m.fs = FlowsheetBlock(default={"dynamic": False})
m.fs.params = WaterParameterBlock(
default={"solute_list": ["nonbiodegradable_cod"]})
m.fs.unit = VFARecoveryZO(default={
"property_package": m.fs.params,
"database": db})
return m
@pytest.mark.parametrize("subtype", [params.keys()])
@pytest.mark.component
def test_load_parameters(self, model, subtype):
model.fs.unit.config.process_subtype = subtype
data = db.get_unit_operation_parameters("vfa_recovery", subtype=subtype)
model.fs.unit.load_parameters_from_database()
for (t, j), v in model.fs.unit.removal_frac_mass_solute.items():
assert v.fixed
assert v.value == data["removal_frac_mass_solute"][j]["value"]
| 40.990826
| 100
| 0.596762
| 1,588
| 13,404
| 4.879723
| 0.148615
| 0.048006
| 0.073816
| 0.039231
| 0.809782
| 0.79507
| 0.79507
| 0.773906
| 0.77068
| 0.760743
| 0
| 0.037756
| 0.235303
| 13,404
| 327
| 101
| 40.990826
| 0.718244
| 0.046628
| 0
| 0.791837
| 0
| 0
| 0.259779
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0
| 7
|
0e5fdeb2ded81d8922cba917f7e0989e5ca46002
| 42,590
|
py
|
Python
|
peacemakr/generated/api/crypto_config_api.py
|
peacemakr-io/peacemakr-python-sdk
|
180bbc2e480ea855dddf0e28c2f27e83a17bfb84
|
[
"Apache-2.0"
] | 3
|
2020-01-27T10:07:29.000Z
|
2021-05-17T16:45:59.000Z
|
peacemakr/generated/api/crypto_config_api.py
|
peacemakr-io/peacemakr-python-sdk
|
180bbc2e480ea855dddf0e28c2f27e83a17bfb84
|
[
"Apache-2.0"
] | 7
|
2020-06-24T03:55:36.000Z
|
2021-03-30T00:43:51.000Z
|
peacemakr/generated/api/crypto_config_api.py
|
peacemakr-io/peacemakr-python-sdk
|
180bbc2e480ea855dddf0e28c2f27e83a17bfb84
|
[
"Apache-2.0"
] | 1
|
2021-04-27T04:12:30.000Z
|
2021-04-27T04:12:30.000Z
|
# coding: utf-8
"""
Peacemakr
This API describes the Peacemakr services, which enable seamless application layer encryption and verification. # noqa: E501
OpenAPI spec version: 1.0.0
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 peacemakr.generated.api_client import ApiClient
class CryptoConfigApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def add_existing_use_domain(self, crypto_config_id, use_domain_id, **kwargs): # noqa: E501
"""Add an existing use domain to another crypto config. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_existing_use_domain(crypto_config_id, use_domain_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:param str use_domain_id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_existing_use_domain_with_http_info(crypto_config_id, use_domain_id, **kwargs) # noqa: E501
else:
(data) = self.add_existing_use_domain_with_http_info(crypto_config_id, use_domain_id, **kwargs) # noqa: E501
return data
def add_existing_use_domain_with_http_info(self, crypto_config_id, use_domain_id, **kwargs): # noqa: E501
"""Add an existing use domain to another crypto config. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_existing_use_domain_with_http_info(crypto_config_id, use_domain_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:param str use_domain_id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['crypto_config_id', 'use_domain_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_existing_use_domain" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'crypto_config_id' is set
if ('crypto_config_id' not in params or
params['crypto_config_id'] is None):
raise ValueError("Missing the required parameter `crypto_config_id` when calling `add_existing_use_domain`") # noqa: E501
# verify the required parameter 'use_domain_id' is set
if ('use_domain_id' not in params or
params['use_domain_id'] is None):
raise ValueError("Missing the required parameter `use_domain_id` when calling `add_existing_use_domain`") # noqa: E501
collection_formats = {}
path_params = {}
if 'crypto_config_id' in params:
path_params['cryptoConfigId'] = params['crypto_config_id'] # noqa: E501
if 'use_domain_id' in params:
path_params['useDomainId'] = params['use_domain_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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/config/{cryptoConfigId}/useDomain/{useDomainId}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def add_use_domain(self, crypto_config_id, new_use_domain, **kwargs): # noqa: E501
"""Add a new active use domain and attached it to the crypto config. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_use_domain(crypto_config_id, new_use_domain, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:param SymmetricKeyUseDomain new_use_domain: (required)
:return: SymmetricKeyUseDomain
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.add_use_domain_with_http_info(crypto_config_id, new_use_domain, **kwargs) # noqa: E501
else:
(data) = self.add_use_domain_with_http_info(crypto_config_id, new_use_domain, **kwargs) # noqa: E501
return data
def add_use_domain_with_http_info(self, crypto_config_id, new_use_domain, **kwargs): # noqa: E501
"""Add a new active use domain and attached it to the crypto config. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.add_use_domain_with_http_info(crypto_config_id, new_use_domain, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:param SymmetricKeyUseDomain new_use_domain: (required)
:return: SymmetricKeyUseDomain
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['crypto_config_id', 'new_use_domain'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_use_domain" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'crypto_config_id' is set
if ('crypto_config_id' not in params or
params['crypto_config_id'] is None):
raise ValueError("Missing the required parameter `crypto_config_id` when calling `add_use_domain`") # noqa: E501
# verify the required parameter 'new_use_domain' is set
if ('new_use_domain' not in params or
params['new_use_domain'] is None):
raise ValueError("Missing the required parameter `new_use_domain` when calling `add_use_domain`") # noqa: E501
collection_formats = {}
path_params = {}
if 'crypto_config_id' in params:
path_params['cryptoConfigId'] = params['crypto_config_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'new_use_domain' in params:
body_params = params['new_use_domain']
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/config/{cryptoConfigId}/useDomain', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SymmetricKeyUseDomain', # 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_crypto_config(self, crypto_config_id, **kwargs): # noqa: E501
"""Get the crypto configurations # 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_crypto_config(crypto_config_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:return: CryptoConfig
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_crypto_config_with_http_info(crypto_config_id, **kwargs) # noqa: E501
else:
(data) = self.get_crypto_config_with_http_info(crypto_config_id, **kwargs) # noqa: E501
return data
def get_crypto_config_with_http_info(self, crypto_config_id, **kwargs): # noqa: E501
"""Get the crypto configurations # 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_crypto_config_with_http_info(crypto_config_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:return: CryptoConfig
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['crypto_config_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_crypto_config" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'crypto_config_id' is set
if ('crypto_config_id' not in params or
params['crypto_config_id'] is None):
raise ValueError("Missing the required parameter `crypto_config_id` when calling `get_crypto_config`") # noqa: E501
collection_formats = {}
path_params = {}
if 'crypto_config_id' in params:
path_params['cryptoConfigId'] = params['crypto_config_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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/config/{cryptoConfigId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='CryptoConfig', # 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 rapid_rotation_use_domain(self, use_domain_id, **kwargs): # noqa: E501
"""Rapid expiration of existing use doamin and immediately replacment with an identical use domain containing fresh keys # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.rapid_rotation_use_domain(use_domain_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str use_domain_id: (required)
:param str optional_next_key_derivation_service_id:
: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.rapid_rotation_use_domain_with_http_info(use_domain_id, **kwargs) # noqa: E501
else:
(data) = self.rapid_rotation_use_domain_with_http_info(use_domain_id, **kwargs) # noqa: E501
return data
def rapid_rotation_use_domain_with_http_info(self, use_domain_id, **kwargs): # noqa: E501
"""Rapid expiration of existing use doamin and immediately replacment with an identical use domain containing fresh keys # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.rapid_rotation_use_domain_with_http_info(use_domain_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str use_domain_id: (required)
:param str optional_next_key_derivation_service_id:
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['use_domain_id', 'optional_next_key_derivation_service_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method rapid_rotation_use_domain" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'use_domain_id' is set
if ('use_domain_id' not in params or
params['use_domain_id'] is None):
raise ValueError("Missing the required parameter `use_domain_id` when calling `rapid_rotation_use_domain`") # noqa: E501
collection_formats = {}
path_params = {}
if 'use_domain_id' in params:
path_params['useDomainId'] = params['use_domain_id'] # noqa: E501
query_params = []
if 'optional_next_key_derivation_service_id' in params:
query_params.append(('optionalNextKeyDerivationServiceId', params['optional_next_key_derivation_service_id'])) # 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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/useDomain/{useDomainId}/rapidRotation', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def remove_use_domain(self, use_domain_id, **kwargs): # noqa: E501
"""Delete a fully expired use domain # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.remove_use_domain(use_domain_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str use_domain_id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.remove_use_domain_with_http_info(use_domain_id, **kwargs) # noqa: E501
else:
(data) = self.remove_use_domain_with_http_info(use_domain_id, **kwargs) # noqa: E501
return data
def remove_use_domain_with_http_info(self, use_domain_id, **kwargs): # noqa: E501
"""Delete a fully expired use domain # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.remove_use_domain_with_http_info(use_domain_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str use_domain_id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['use_domain_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method remove_use_domain" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'use_domain_id' is set
if ('use_domain_id' not in params or
params['use_domain_id'] is None):
raise ValueError("Missing the required parameter `use_domain_id` when calling `remove_use_domain`") # noqa: E501
collection_formats = {}
path_params = {}
if 'use_domain_id' in params:
path_params['useDomainId'] = params['use_domain_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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/useDomain/{useDomainId}', '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 update_crypto_config(self, crypto_config_id, updated_crypto_config, **kwargs): # noqa: E501
"""Update the crypto configuration, ONLY the clientKeyType clientKeyBitlength, and clientKeyTTL fields. # 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_crypto_config(crypto_config_id, updated_crypto_config, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:param CryptoConfig updated_crypto_config: (required)
:return: CryptoConfig
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_crypto_config_with_http_info(crypto_config_id, updated_crypto_config, **kwargs) # noqa: E501
else:
(data) = self.update_crypto_config_with_http_info(crypto_config_id, updated_crypto_config, **kwargs) # noqa: E501
return data
def update_crypto_config_with_http_info(self, crypto_config_id, updated_crypto_config, **kwargs): # noqa: E501
"""Update the crypto configuration, ONLY the clientKeyType clientKeyBitlength, and clientKeyTTL fields. # 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_crypto_config_with_http_info(crypto_config_id, updated_crypto_config, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:param CryptoConfig updated_crypto_config: (required)
:return: CryptoConfig
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['crypto_config_id', 'updated_crypto_config'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_crypto_config" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'crypto_config_id' is set
if ('crypto_config_id' not in params or
params['crypto_config_id'] is None):
raise ValueError("Missing the required parameter `crypto_config_id` when calling `update_crypto_config`") # noqa: E501
# verify the required parameter 'updated_crypto_config' is set
if ('updated_crypto_config' not in params or
params['updated_crypto_config'] is None):
raise ValueError("Missing the required parameter `updated_crypto_config` when calling `update_crypto_config`") # noqa: E501
collection_formats = {}
path_params = {}
if 'crypto_config_id' in params:
path_params['cryptoConfigId'] = params['crypto_config_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'updated_crypto_config' in params:
body_params = params['updated_crypto_config']
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/config/{cryptoConfigId}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='CryptoConfig', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_crypto_config_fallback_to_cloud(self, use_domain_id, fallback_to_cloud, **kwargs): # noqa: E501
"""Update an existing crypto config's asymmetricKeyTTL # 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_crypto_config_fallback_to_cloud(use_domain_id, fallback_to_cloud, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str use_domain_id: (required)
:param bool fallback_to_cloud: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_crypto_config_fallback_to_cloud_with_http_info(use_domain_id, fallback_to_cloud, **kwargs) # noqa: E501
else:
(data) = self.update_crypto_config_fallback_to_cloud_with_http_info(use_domain_id, fallback_to_cloud, **kwargs) # noqa: E501
return data
def update_crypto_config_fallback_to_cloud_with_http_info(self, use_domain_id, fallback_to_cloud, **kwargs): # noqa: E501
"""Update an existing crypto config's asymmetricKeyTTL # 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_crypto_config_fallback_to_cloud_with_http_info(use_domain_id, fallback_to_cloud, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str use_domain_id: (required)
:param bool fallback_to_cloud: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['use_domain_id', 'fallback_to_cloud'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_crypto_config_fallback_to_cloud" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'use_domain_id' is set
if ('use_domain_id' not in params or
params['use_domain_id'] is None):
raise ValueError("Missing the required parameter `use_domain_id` when calling `update_crypto_config_fallback_to_cloud`") # noqa: E501
# verify the required parameter 'fallback_to_cloud' is set
if ('fallback_to_cloud' not in params or
params['fallback_to_cloud'] is None):
raise ValueError("Missing the required parameter `fallback_to_cloud` when calling `update_crypto_config_fallback_to_cloud`") # noqa: E501
collection_formats = {}
path_params = {}
if 'use_domain_id' in params:
path_params['useDomainId'] = params['use_domain_id'] # noqa: E501
query_params = []
if 'fallback_to_cloud' in params:
query_params.append(('fallbackToCloud', params['fallback_to_cloud'])) # 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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/useDomain/{useDomainId}/enableKDSFallbackToCloud', 'PUT',
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 update_crypto_config_selector_scheme(self, crypto_config_id, new_selector_scheme, **kwargs): # noqa: E501
"""Update an existing crypto config's domainSelectorScheme # 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_crypto_config_selector_scheme(crypto_config_id, new_selector_scheme, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:param str new_selector_scheme: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_crypto_config_selector_scheme_with_http_info(crypto_config_id, new_selector_scheme, **kwargs) # noqa: E501
else:
(data) = self.update_crypto_config_selector_scheme_with_http_info(crypto_config_id, new_selector_scheme, **kwargs) # noqa: E501
return data
def update_crypto_config_selector_scheme_with_http_info(self, crypto_config_id, new_selector_scheme, **kwargs): # noqa: E501
"""Update an existing crypto config's domainSelectorScheme # 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_crypto_config_selector_scheme_with_http_info(crypto_config_id, new_selector_scheme, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str crypto_config_id: (required)
:param str new_selector_scheme: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['crypto_config_id', 'new_selector_scheme'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_crypto_config_selector_scheme" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'crypto_config_id' is set
if ('crypto_config_id' not in params or
params['crypto_config_id'] is None):
raise ValueError("Missing the required parameter `crypto_config_id` when calling `update_crypto_config_selector_scheme`") # noqa: E501
# verify the required parameter 'new_selector_scheme' is set
if ('new_selector_scheme' not in params or
params['new_selector_scheme'] is None):
raise ValueError("Missing the required parameter `new_selector_scheme` when calling `update_crypto_config_selector_scheme`") # noqa: E501
collection_formats = {}
path_params = {}
if 'crypto_config_id' in params:
path_params['cryptoConfigId'] = params['crypto_config_id'] # noqa: E501
query_params = []
if 'new_selector_scheme' in params:
query_params.append(('newSelectorScheme', params['new_selector_scheme'])) # 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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/config/{cryptoConfigId}/domainSelectorScheme', 'PUT',
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 update_expire_use_domain(self, use_domain_id, inception_ttl, encryption_ttl, decryption_ttl, retention_ttl, **kwargs): # noqa: E501
"""Chnage expiration of a use domain # 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_expire_use_domain(use_domain_id, inception_ttl, encryption_ttl, decryption_ttl, retention_ttl, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str use_domain_id: (required)
:param int inception_ttl: (required)
:param int encryption_ttl: (required)
:param int decryption_ttl: (required)
:param int retention_ttl: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_expire_use_domain_with_http_info(use_domain_id, inception_ttl, encryption_ttl, decryption_ttl, retention_ttl, **kwargs) # noqa: E501
else:
(data) = self.update_expire_use_domain_with_http_info(use_domain_id, inception_ttl, encryption_ttl, decryption_ttl, retention_ttl, **kwargs) # noqa: E501
return data
def update_expire_use_domain_with_http_info(self, use_domain_id, inception_ttl, encryption_ttl, decryption_ttl, retention_ttl, **kwargs): # noqa: E501
"""Chnage expiration of a use domain # 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_expire_use_domain_with_http_info(use_domain_id, inception_ttl, encryption_ttl, decryption_ttl, retention_ttl, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str use_domain_id: (required)
:param int inception_ttl: (required)
:param int encryption_ttl: (required)
:param int decryption_ttl: (required)
:param int retention_ttl: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['use_domain_id', 'inception_ttl', 'encryption_ttl', 'decryption_ttl', 'retention_ttl'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_expire_use_domain" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'use_domain_id' is set
if ('use_domain_id' not in params or
params['use_domain_id'] is None):
raise ValueError("Missing the required parameter `use_domain_id` when calling `update_expire_use_domain`") # noqa: E501
# verify the required parameter 'inception_ttl' is set
if ('inception_ttl' not in params or
params['inception_ttl'] is None):
raise ValueError("Missing the required parameter `inception_ttl` when calling `update_expire_use_domain`") # noqa: E501
# verify the required parameter 'encryption_ttl' is set
if ('encryption_ttl' not in params or
params['encryption_ttl'] is None):
raise ValueError("Missing the required parameter `encryption_ttl` when calling `update_expire_use_domain`") # noqa: E501
# verify the required parameter 'decryption_ttl' is set
if ('decryption_ttl' not in params or
params['decryption_ttl'] is None):
raise ValueError("Missing the required parameter `decryption_ttl` when calling `update_expire_use_domain`") # noqa: E501
# verify the required parameter 'retention_ttl' is set
if ('retention_ttl' not in params or
params['retention_ttl'] is None):
raise ValueError("Missing the required parameter `retention_ttl` when calling `update_expire_use_domain`") # noqa: E501
collection_formats = {}
path_params = {}
if 'use_domain_id' in params:
path_params['useDomainId'] = params['use_domain_id'] # noqa: E501
query_params = []
if 'inception_ttl' in params:
query_params.append(('inceptionTTL', params['inception_ttl'])) # noqa: E501
if 'encryption_ttl' in params:
query_params.append(('encryptionTTL', params['encryption_ttl'])) # noqa: E501
if 'decryption_ttl' in params:
query_params.append(('decryptionTTL', params['decryption_ttl'])) # noqa: E501
if 'retention_ttl' in params:
query_params.append(('retentionTTL', params['retention_ttl'])) # 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
# 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 = ['header'] # noqa: E501
return self.api_client.call_api(
'/crypto/useDomain/{useDomainId}/updateExpire', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 43.28252
| 166
| 0.636887
| 5,023
| 42,590
| 5.086403
| 0.042803
| 0.051431
| 0.041098
| 0.025363
| 0.949391
| 0.936553
| 0.913852
| 0.903519
| 0.894477
| 0.866022
| 0
| 0.014313
| 0.276567
| 42,590
| 983
| 167
| 43.326551
| 0.814904
| 0.307983
| 0
| 0.752768
| 0
| 0
| 0.234363
| 0.067303
| 0
| 0
| 0
| 0
| 0
| 1
| 0.035055
| false
| 0
| 0.00738
| 0
| 0.094096
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
0e8ee3824511e37a78b6d12dda768f6205cf2c6f
| 152
|
py
|
Python
|
qurator/dinglehopper/__init__.py
|
JKamlah/dinglehopper
|
40ab1c07747e0bb888a7f06b249835e375235e71
|
[
"Apache-2.0"
] | null | null | null |
qurator/dinglehopper/__init__.py
|
JKamlah/dinglehopper
|
40ab1c07747e0bb888a7f06b249835e375235e71
|
[
"Apache-2.0"
] | null | null | null |
qurator/dinglehopper/__init__.py
|
JKamlah/dinglehopper
|
40ab1c07747e0bb888a7f06b249835e375235e71
|
[
"Apache-2.0"
] | null | null | null |
from .ocr_files import *
from .substitute_equivalences import *
from .character_error_rate import *
from .word_error_rate import *
from .align import *
| 25.333333
| 38
| 0.802632
| 21
| 152
| 5.52381
| 0.52381
| 0.344828
| 0.258621
| 0.327586
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131579
| 152
| 5
| 39
| 30.4
| 0.878788
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
7d0775f633d68c3f56dc7a0f56b7a315aa099bd9
| 5,463
|
py
|
Python
|
actions/migrations/0001_initial.py
|
eric-scott-owens/loopla
|
1fd5e6e7e9907198ff904111010b362a129d5e39
|
[
"MIT"
] | null | null | null |
actions/migrations/0001_initial.py
|
eric-scott-owens/loopla
|
1fd5e6e7e9907198ff904111010b362a129d5e39
|
[
"MIT"
] | 6
|
2020-06-05T22:27:20.000Z
|
2022-03-24T10:25:50.000Z
|
actions/migrations/0001_initial.py
|
eric-scott-owens/loopla
|
1fd5e6e7e9907198ff904111010b362a129d5e39
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-09-22 19:37
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('itk_invitations', '0014_auto_20170728_2128'),
('dashboard', '0023_userevent_sender'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='AcceptedFounderNomination',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True)),
('nomination', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='itk_invitations.Invitation')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-date'],
},
),
migrations.CreateModel(
name='ReceivedKudosToPost',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True)),
('is_notified', models.BooleanField(default=False)),
('post', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='dashboard.Post')),
('sender', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='kudos_sender_post', to=settings.AUTH_USER_MODEL)),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-date'],
},
),
migrations.CreateModel(
name='ReceivedKudosToReply',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True)),
('is_notified', models.BooleanField(default=False)),
('reply', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='dashboard.Comment')),
('sender', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='kudos_sender_reply', to=settings.AUTH_USER_MODEL)),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-date'],
},
),
migrations.CreateModel(
name='ReceivedReplyToPost',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True)),
('is_notified', models.BooleanField(default=False)),
('post', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='dashboard.Post')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-date'],
},
),
migrations.CreateModel(
name='SentGroupFounderNomination',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True)),
('nomination', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='itk_invitations.Invitation')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-date'],
},
),
migrations.CreateModel(
name='SentKudosToPost',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True)),
('is_notified', models.BooleanField(default=False)),
('post', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='dashboard.Post')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-date'],
},
),
migrations.CreateModel(
name='SentKudosToReply',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True)),
('is_notified', models.BooleanField(default=False)),
('reply', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='dashboard.Comment')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-date'],
},
),
]
| 48.345133
| 155
| 0.589969
| 532
| 5,463
| 5.87782
| 0.159774
| 0.046051
| 0.076111
| 0.119603
| 0.834346
| 0.834346
| 0.834346
| 0.834346
| 0.834346
| 0.834346
| 0
| 0.009271
| 0.269449
| 5,463
| 112
| 156
| 48.776786
| 0.774242
| 0.012447
| 0
| 0.721154
| 1
| 0
| 0.121476
| 0.027263
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.038462
| 0
| 0.076923
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
7d339083e2a85afd8713895c4db88f02368a1eba
| 62
|
py
|
Python
|
Lib/test/test_compiler/testcorpus/41_from_import.py
|
diogommartins/cinder
|
79103e9119cbecef3b085ccf2878f00c26e1d175
|
[
"CNRI-Python-GPL-Compatible"
] | 1,886
|
2021-05-03T23:58:43.000Z
|
2022-03-31T19:15:58.000Z
|
Lib/test/test_compiler/testcorpus/41_from_import.py
|
diogommartins/cinder
|
79103e9119cbecef3b085ccf2878f00c26e1d175
|
[
"CNRI-Python-GPL-Compatible"
] | 70
|
2021-05-04T23:25:35.000Z
|
2022-03-31T18:42:08.000Z
|
Lib/test/test_compiler/testcorpus/41_from_import.py
|
diogommartins/cinder
|
79103e9119cbecef3b085ccf2878f00c26e1d175
|
[
"CNRI-Python-GPL-Compatible"
] | 52
|
2021-05-04T21:26:03.000Z
|
2022-03-08T18:02:56.000Z
|
from foo import bar
from foo.bar import baz
from foo import *
| 15.5
| 23
| 0.774194
| 12
| 62
| 4
| 0.416667
| 0.4375
| 0.541667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.193548
| 62
| 3
| 24
| 20.666667
| 0.96
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
70ca8f9a5348bc31a4c8fd9c2d1ff290ee7412dd
| 6,617
|
py
|
Python
|
dashboard_2/articles/tests/test_event_sorter.py
|
elifesciences/continuum-dashboard
|
fbcae4f05955250899c42134cd894e3a47515f8b
|
[
"MIT"
] | 1
|
2018-04-24T10:43:59.000Z
|
2018-04-24T10:43:59.000Z
|
dashboard_2/articles/tests/test_event_sorter.py
|
elifesciences/continuum-dashboard
|
fbcae4f05955250899c42134cd894e3a47515f8b
|
[
"MIT"
] | 43
|
2016-08-05T11:16:45.000Z
|
2022-03-30T05:24:54.000Z
|
dashboard_2/articles/tests/test_event_sorter.py
|
elifesciences/continuum-dashboard
|
fbcae4f05955250899c42134cd894e3a47515f8b
|
[
"MIT"
] | 5
|
2016-08-04T14:54:50.000Z
|
2018-03-12T17:28:19.000Z
|
import pytest
from articles.models import Article, Event
@pytest.mark.django_db
def test_will_only_use_latest_instance_of_event_type_per_version(article: Article):
# create two events with the same type and version, but different status
Event.objects.create(version=1,
run='b6ef5d1f-23b3-4f4e-9ba3-7de24f885171',
type='Version Lookup',
timestamp='2016-02-07T14:14:49+00:00',
status='start',
message='Started expansion of article',
article_id=article.article_id)
Event.objects.create(version=1,
run='b6ef5d1f-23b3-4f4e-9ba3-7de24f885171',
type='Version Lookup',
timestamp='2016-02-07T14:16:49+00:00',
status='end',
message='Finished expansion of article',
article_id=article.article_id)
# add version 2
Event.objects.create(version=2,
run='zzzf5d1f-23b3-4f4e-9ba3-7de24f885171',
type='Version Lookup',
timestamp='2016-02-07T14:14:49+00:00',
status='start',
message='Started expansion of article',
article_id=article.article_id)
Event.objects.create(version=2,
run='zzzf5d1f-23b3-4f4e-9ba3-7de24f885171',
type='Version Lookup',
timestamp='2016-02-07T14:16:49+00:00',
status='end',
message='Finished expansion of article',
article_id=article.article_id)
runs = Article.versions.get_runs(article_id=article.article_identifier)
assert runs == {
"1": {
"1": {
"events": [
{
'event-message': 'Finished expansion of article',
'event-status': 'end',
'event-timestamp': 1454854609.0,
'event-type': 'Version Lookup',
}
],
"first-event-timestamp": 1454854609.0, # should be 1454854489.0,
"run-id": "b6ef5d1f-23b3-4f4e-9ba3-7de24f885171",
"run-number": "1",
"version-number": "1",
},
},
"2": {
"1": {
"events": [
{
'event-message': 'Finished expansion of article',
'event-status': 'end',
'event-timestamp': 1454854609.0,
'event-type': 'Version Lookup',
}
],
"first-event-timestamp": 1454854609.0, # should be 1454854489.0,
"run-id": "zzzf5d1f-23b3-4f4e-9ba3-7de24f885171",
"run-number": "1",
"version-number": "2",
},
}
}
@pytest.mark.django_db
def test_can_sort_events_into_runs(article: Article):
Event.objects.create(version=1,
run='b6ef5d1f-23b3-4f4e-9ba3-7de24f885171',
type='Convert JATS',
timestamp='2016-02-08T14:14:49+00:00',
status='start',
message='Starting conversion of article xml to EIF for 09003',
article_id=article.article_id)
Event.objects.create(version=1,
run='b6ef5d1f-23b3-4f4e-9ba3-7de24f885171',
type='Version Lookup',
timestamp='2016-02-07T14:14:49+00:00',
status='start',
message='Finished expansion of article',
article_id=article.article_id)
Event.objects.create(version=1,
run='c6ef5d1f-23b3-4f4e-9ba3-7de24f885172',
type='Convert JATS',
timestamp='2016-02-13T14:14:49+00:00',
status='start',
message='Starting conversion of article xml to EIF for 09003',
article_id=article.article_id)
Event.objects.create(version=1,
run='c6ef5d1f-23b3-4f4e-9ba3-7de24f885172',
type='Version Lookup',
timestamp='2016-02-12T14:14:49+00:00',
status='start',
message='Finished expansion of article',
article_id=article.article_id)
runs = Article.versions.get_runs(article_id=article.article_identifier)
assert Event.objects.count() == 4
assert runs == {
"1": {
"1": {
"events": [
{
'event-message': 'Finished expansion of article',
'event-status': 'start',
'event-timestamp': 1454854489.0,
'event-type': 'Version Lookup'
},
{
'event-message': 'Starting conversion of article xml to EIF for 09003',
'event-status': 'start',
'event-timestamp': 1454940889.0,
'event-type': 'Convert JATS'
}
],
"first-event-timestamp": 1454854489.0,
"run-id": "b6ef5d1f-23b3-4f4e-9ba3-7de24f885171",
"run-number": "1",
"version-number": "1",
},
"2": {
"events": [
{
'event-message': 'Finished expansion of article',
'event-timestamp': 1455286489.0,
'event-status': 'start',
'event-type': 'Version Lookup'
},
{
'event-message': 'Starting conversion of article xml to EIF for 09003',
'event-timestamp': 1455372889.0,
'event-status': 'start',
'event-type': 'Convert JATS'
}
],
"first-event-timestamp": 1455286489.0,
"run-id": "c6ef5d1f-23b3-4f4e-9ba3-7de24f885172",
"run-number": "2",
"version-number": "1",
}
}
}
| 41.35625
| 95
| 0.446124
| 568
| 6,617
| 5.128521
| 0.161972
| 0.086509
| 0.076897
| 0.078956
| 0.881565
| 0.852386
| 0.796087
| 0.76931
| 0.752489
| 0.736354
| 0
| 0.148693
| 0.445066
| 6,617
| 159
| 96
| 41.616352
| 0.644608
| 0.019949
| 0
| 0.727273
| 0
| 0
| 0.295833
| 0.110494
| 0
| 0
| 0
| 0
| 0.020979
| 1
| 0.013986
| false
| 0
| 0.013986
| 0
| 0.027972
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
70f03f7f1e20d90d4846775c690f2fb46e7c9cc3
| 1,688
|
py
|
Python
|
cases/compareList.py
|
minakoyang/YY_python2.7_interpreter_in_CPP
|
e949f4bbd27752e6dbfef0a887d9567345d512f4
|
[
"MIT"
] | 1
|
2019-04-30T16:27:19.000Z
|
2019-04-30T16:27:19.000Z
|
cases/compareList.py
|
minakoyang/YY_python2.7_interpreter_in_CPP
|
e949f4bbd27752e6dbfef0a887d9567345d512f4
|
[
"MIT"
] | null | null | null |
cases/compareList.py
|
minakoyang/YY_python2.7_interpreter_in_CPP
|
e949f4bbd27752e6dbfef0a887d9567345d512f4
|
[
"MIT"
] | null | null | null |
if ( [1] == [1] ):
print "Line 1 - a is equal to b"
else:
print "Line 1 - a is not equal to b"
if ( [1] != [1.0] ):
print "Line 2 - a is not equal to b"
else:
print "Line 2 - a is equal to b"
if ( [1.0] <> [1] ):
print "Line 3 - a is not equal to b"
else:
print "Line 3 - a is equal to b"
if ( [1] < [2.0] ):
print "Line 4 - a is less than b"
else:
print "Line 4 - a is not less than b"
if ( [1] > [1, 1] ):
print "Line 5 - a is greater than b"
else:
print "Line 5 - a is not greater than b"
if ( [11.0] <= [1, 1] ):
print "Line 6 - a is either less than or equal to b"
else:
print "Line 6 - a is neither less than nor equal to b"
if ( [1, 1, 2] >= [1, 1.0, 3.0] ):
print "Line 7 - a is either greater than or equal to b"
else:
print "Line 7 - a is neither greater than nor equal to b"
if ( ["1"] == [1] ):
print "Line 1 - a is equal to b"
else:
print "Line 1 - a is not equal to b"
if ( [[1]] != [1.0] ):
print "Line 2 - a is not equal to b"
else:
print "Line 2 - a is equal to b"
if ( [1.0] <> "1" ):
print "Line 3 - a is not equal to b"
else:
print "Line 3 - a is equal to b"
if ( [[1]] < 2.0 ):
print "Line 4 - a is less than b"
else:
print "Line 4 - a is not less than b"
if ( "1" > ["1", 1] ):
print "Line 5 - a is greater than b"
else:
print "Line 5 - a is not greater than b"
if ( [11.0] <= [[1], 1] ):
print "Line 6 - a is either less than or equal to b"
else:
print "Line 6 - a is neither less than nor equal to b"
if ( [1, [1, 3]] >= [1, 1.0, 3.0] ):
print "Line 7 - a is either greater than or equal to b"
else:
print "Line 7 - a is neither greater than nor equal to b"
| 23.774648
| 61
| 0.547393
| 346
| 1,688
| 2.67052
| 0.075145
| 0.272727
| 0.17316
| 0.212121
| 0.997836
| 0.997836
| 0.997836
| 0.997836
| 0.997836
| 0.997836
| 0
| 0.06961
| 0.302133
| 1,688
| 70
| 62
| 24.114286
| 0.714771
| 0
| 0
| 0.75
| 0
| 0
| 0.547393
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 11
|
70f63b551a30ded409825adbb37c8beedcd95f84
| 156
|
py
|
Python
|
basic_dist/mod_dist/mid.py
|
Seanny123/basic_imp_python
|
a25682b1da1da8a1af5edd7e70babb0dd34eb6f9
|
[
"MIT"
] | null | null | null |
basic_dist/mod_dist/mid.py
|
Seanny123/basic_imp_python
|
a25682b1da1da8a1af5edd7e70babb0dd34eb6f9
|
[
"MIT"
] | null | null | null |
basic_dist/mod_dist/mid.py
|
Seanny123/basic_imp_python
|
a25682b1da1da8a1af5edd7e70babb0dd34eb6f9
|
[
"MIT"
] | null | null | null |
from basic_dist.structs import Query
from basic_dist.mod_dist.half import halve
def mid_dist(x: Query, y: Query):
return halve((x.data - y.data) ** 2)
| 26
| 42
| 0.730769
| 28
| 156
| 3.928571
| 0.571429
| 0.163636
| 0.236364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007576
| 0.153846
| 156
| 5
| 43
| 31.2
| 0.825758
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0.25
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
cb7371e12ba7df652473252adf41ea443bfaceaf
| 376,399
|
py
|
Python
|
pymove/crystals/lebedev.py
|
manny405/PyMoVE
|
82045fa27b3bd31f2159d3ad72dc0a373c5e7b23
|
[
"BSD-3-Clause"
] | 5
|
2021-01-24T10:35:06.000Z
|
2021-11-30T07:55:44.000Z
|
mcse/crystals/lebedev.py
|
manny405/mcse
|
419e4b8c144563ae0bf48982fc7ea26ce941a3eb
|
[
"Apache-2.0"
] | null | null | null |
mcse/crystals/lebedev.py
|
manny405/mcse
|
419e4b8c144563ae0bf48982fc7ea26ce941a3eb
|
[
"Apache-2.0"
] | 1
|
2021-11-28T16:37:48.000Z
|
2021-11-28T16:37:48.000Z
|
# -*- coding: utf-8 -*-
lebedev_5 = {"coords": [[1.0, 0.0, 6.123233995736766e-17], [-1.0, 1.2246467991473532e-16, 6.123233995736766e-17], [6.123233995736766e-17, 1.0, 6.123233995736766e-17], [6.123233995736766e-17, -1.0, 6.123233995736766e-17], [0.0, 0.0, 1.0], [1.2246467991473532e-16, 0.0, -1.0], [0.7071067811865476, 0.7071067811865475, 6.123233995736766e-17], [0.7071067811865476, -0.7071067811865475, 6.123233995736766e-17], [-0.7071067811865475, 0.7071067811865476, 6.123233995736766e-17], [-0.7071067811865475, -0.7071067811865476, 6.123233995736766e-17], [0.7071067811865476, 0.0, 0.7071067811865475], [0.7071067811865476, 0.0, -0.7071067811865475], [-0.7071067811865476, 8.659560562354934e-17, 0.7071067811865475], [-0.7071067811865476, 8.659560562354934e-17, -0.7071067811865475], [4.329780281177467e-17, 0.7071067811865476, 0.7071067811865475], [4.329780281177467e-17, 0.7071067811865476, -0.7071067811865475], [4.329780281177467e-17, -0.7071067811865476, 0.7071067811865475], [4.329780281177467e-17, -0.7071067811865476, -0.7071067811865475], [0.5773502691896257, 0.5773502691896256, 0.5773502691896258], [0.5773502691896258, 0.5773502691896257, -0.5773502691896257], [0.5773502691896257, -0.5773502691896256, 0.5773502691896258], [0.5773502691896258, -0.5773502691896257, -0.5773502691896257], [-0.5773502691896256, 0.5773502691896257, 0.5773502691896258], [-0.5773502691896257, 0.5773502691896258, -0.5773502691896257], [-0.5773502691896256, -0.5773502691896257, 0.5773502691896258], [-0.5773502691896257, -0.5773502691896258, -0.5773502691896257], [0.30151134457776363, 0.3015113445777636, 0.9045340337332909], [-0.3015113445777636, 0.30151134457776363, 0.9045340337332909], [0.30151134457776363, -0.3015113445777636, 0.9045340337332909], [-0.3015113445777636, -0.30151134457776363, 0.9045340337332909], [0.3015113445777637, 0.30151134457776363, -0.9045340337332909], [-0.30151134457776363, 0.3015113445777637, -0.9045340337332909], [0.3015113445777637, -0.30151134457776363, -0.9045340337332909], [-0.30151134457776363, -0.3015113445777637, -0.9045340337332909], [0.30151134457776363, 0.9045340337332909, 0.30151134457776363], [-0.3015113445777635, 0.904534033733291, 0.30151134457776363], [0.30151134457776363, 0.9045340337332909, -0.3015113445777635], [-0.3015113445777635, 0.904534033733291, -0.3015113445777635], [0.30151134457776363, -0.9045340337332909, 0.30151134457776363], [-0.3015113445777635, -0.904534033733291, 0.30151134457776363], [0.30151134457776363, -0.9045340337332909, -0.3015113445777635], [-0.3015113445777635, -0.904534033733291, -0.3015113445777635], [0.904534033733291, 0.3015113445777635, 0.30151134457776363], [0.904534033733291, -0.3015113445777635, 0.30151134457776363], [0.904534033733291, 0.3015113445777635, -0.3015113445777635], [0.904534033733291, -0.3015113445777635, -0.3015113445777635], [-0.9045340337332909, 0.3015113445777637, 0.30151134457776363], [-0.9045340337332909, -0.3015113445777637, 0.30151134457776363], [-0.9045340337332909, 0.3015113445777637, -0.3015113445777635], [-0.9045340337332909, -0.3015113445777637, -0.3015113445777635]]}
lebedev_64 = {"coords": [[1.0, 0.0, 6.123233995736766e-17], [-1.0, 1.2246467991473532e-16, 6.123233995736766e-17], [6.123233995736766e-17, 1.0, 6.123233995736766e-17], [6.123233995736766e-17, -1.0, 6.123233995736766e-17], [0.0, 0.0, 1.0], [1.2246467991473532e-16, 0.0, -1.0], [0.7071067811865476, 0.7071067811865475, 6.123233995736766e-17], [0.7071067811865476, -0.7071067811865475, 6.123233995736766e-17], [-0.7071067811865475, 0.7071067811865476, 6.123233995736766e-17], [-0.7071067811865475, -0.7071067811865476, 6.123233995736766e-17], [0.7071067811865476, 0.0, 0.7071067811865475], [0.7071067811865476, 0.0, -0.7071067811865475], [-0.7071067811865476, 8.659560562354934e-17, 0.7071067811865475], [-0.7071067811865476, 8.659560562354934e-17, -0.7071067811865475], [4.329780281177467e-17, 0.7071067811865476, 0.7071067811865475], [4.329780281177467e-17, 0.7071067811865476, -0.7071067811865475], [4.329780281177467e-17, -0.7071067811865476, 0.7071067811865475], [4.329780281177467e-17, 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0
| 11
|
cbc902ccdc7e66c3ade012d029303a686d44e7c2
| 12,647
|
py
|
Python
|
model/cbam_resnet.py
|
tianqi-wang1996/Airsim_imitation-reinforcement-learning
|
d2b355309573d4cbe3e2e75512760d97fb261c82
|
[
"MIT"
] | 1
|
2020-09-17T14:13:15.000Z
|
2020-09-17T14:13:15.000Z
|
model/cbam_resnet.py
|
familywei/Airsim_imitation-reinforcement-learning
|
d2b355309573d4cbe3e2e75512760d97fb261c82
|
[
"MIT"
] | null | null | null |
model/cbam_resnet.py
|
familywei/Airsim_imitation-reinforcement-learning
|
d2b355309573d4cbe3e2e75512760d97fb261c82
|
[
"MIT"
] | 6
|
2020-11-27T09:56:11.000Z
|
2021-09-26T02:57:27.000Z
|
import torch
import torch.nn as nn
# channel attention module, taking in_planes(input channel number) as a parameter
class ChannelAttention(nn.Module):
def __init__(self, in_planes):
super().__init__()
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.max_pool = nn.AdaptiveMaxPool2d(1)
self.fc1 = nn.Conv2d(in_planes, in_planes // 16, 1, bias=False)
self.bn_avg = nn.BatchNorm2d(in_planes // 16)
self.bn_max = nn.BatchNorm2d(in_planes // 16)
self.relu = nn.ReLU()
self.fc2 = nn.Conv2d(in_planes // 16, in_planes, 1, bias=False)
self.bn_channel = nn.BatchNorm2d(in_planes)
self.sigmoid = nn.Sigmoid()
def forward(self, x):
avg_out = self.fc2(self.relu(self.bn_avg(self.fc1(self.avg_pool(x)))))
max_out = self.fc2(self.relu(self.bn_max(self.fc1(self.max_pool(x)))))
out = avg_out + max_out
out = self.bn_channel(out)
return self.sigmoid(out)
# spatial attention module
class SpatialAttention(nn.Module):
def __init__(self):
super().__init__()
self.conv1 = nn.Conv2d(2, 1, 7, padding=3, bias=False)
self.bn_spatial = nn.BatchNorm2d(1)
self.sigmoid = nn.Sigmoid()
def forward(self, x):
avg_out = torch.mean(x, dim=1, keepdim=True)
max_out, _ = torch.max(x, dim=1, keepdim=True)
x = torch.cat([avg_out, max_out], dim=1)
x = self.conv1(x)
x = self.bn_spatial(x)
return self.sigmoid(x)
# minimum component block for CBAM_ResNet34
# flag input--'downsample' to determine whether downsampling will be done in this block
class BottleNeck(nn.Module):
def __init__(self, in_channels, out_channels, downsample=False):
super().__init__()
self.in_channels = in_channels
self.out_channels = out_channels
self.downsample = downsample
if downsample:
self.stride = 2
else:
self.stride = 1
self.relu = nn.ReLU()
self.conv_main = nn.Conv2d(in_channels = self.in_channels,
out_channels = self.out_channels,
kernel_size = 1,
stride = self.stride,
padding = 0,
dilation = 1,
bias = False)
self.batch_norm_main = nn.BatchNorm2d(self.out_channels)
self.conv1 = nn.Conv2d(in_channels = self.in_channels,
out_channels = self.out_channels,
kernel_size = 3,
stride = self.stride,
padding = 1,
dilation = 1,
bias = False)
self.batch_norm1 = nn.BatchNorm2d(self.out_channels)
self.conv2 = nn.Conv2d(in_channels = self.out_channels,
out_channels = self.out_channels,
kernel_size = 3,
stride = 1,
padding = 1,
dilation = 1,
bias = False)
self.batch_norm2 = nn.BatchNorm2d(self.out_channels)
self.channel_attention = ChannelAttention(out_channels)
self.spatial_attention = SpatialAttention()
def forward(self, x):
#main branch
if self.downsample:
shortcut = self.conv_main(x)
shortcut = self.batch_norm_main(shortcut)
else:
shortcut = x
#side branch
x = self.conv1(x)
x = self.batch_norm1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.batch_norm2(x)
# operating channel attention and spatial attention sequentially
# if we want to operate only channel or spatial attention, just simply comment the corresponding line
x = x * self.channel_attention(x)
x = x * self.spatial_attention(x)
out = x + shortcut
out = self.relu(out)
return out
class CBAM_ResNet34(nn.Module):
def __init__(self):
super().__init__()
# remark: In the original ResNet paper, the first convolution layer takes stride=2 to downsample the input
# ,after this convolution layer there is also another maxpooling layer to do downsample as well.
# But that was the structure for ImageNet dataset which is 224x224 size. For CIFAR100 dataset, if we keep using
# this, there will be too many 1x1 dimension in the later layer's output which I did the experiment and found that
# the performance is poor. So here I refer to the official CBAM code, do not do downsampling in the first conv layer
# and delete the maxpooling layer as well.
# self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1, bias=False)
self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False)
self.bn1 = nn.BatchNorm2d(64)
self.relu = nn.ReLU()
self.b21 = BottleNeck(64,64)
self.b22 = BottleNeck(64,64)
self.b23 = BottleNeck(64,64)
self.b31 = BottleNeck(64,128,downsample=True)
self.b32 = BottleNeck(128,128)
self.b33 = BottleNeck(128,128)
self.b34 = BottleNeck(128,128)
self.b41 = BottleNeck(128,256,downsample=True)
self.b42 = BottleNeck(256,256)
self.b43 = BottleNeck(256,256)
self.b44 = BottleNeck(256,256)
self.b45 = BottleNeck(256,256)
self.b46 = BottleNeck(256,256)
self.b51 = BottleNeck(256,512,downsample=True)
self.b52 = BottleNeck(512,512)
self.b53 = BottleNeck(512,512)
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.fc1 = nn.Linear(514, 250)
self.fc2 = nn.Linear(250, 100)
self.fc3 = nn.Linear(100, 3)
def forward(self, x, x2):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.b21(x)
x = self.b22(x)
x = self.b23(x)
x = self.b31(x)
x = self.b32(x)
x = self.b33(x)
x = self.b34(x)
x = self.b41(x)
x = self.b42(x)
x = self.b43(x)
x = self.b44(x)
x = self.b45(x)
x = self.b46(x)
x = self.b51(x)
x = self.b52(x)
x = self.b53(x)
x = self.avg_pool(x)
x = x.view(x.size(0), -1)
x = torch.cat((x,x2), dim = 1)
x = self.fc1(x)
x = self.fc2(x)
x = self.fc3(x)
return x
# minimum component block for CBAM_ResNet50
# flag input--'downsample' to determine whether downsampling will be done in this block
class BottleNeck_50(nn.Module):
def __init__(self, in_channels, out_channels, first_block=False, downsample=False):
super().__init__()
self.in_channels = in_channels
self.out_channels = out_channels
self.downsample = downsample
self.first_block = first_block
if downsample:
self.stride = 2
else:
self.stride = 1
self.relu = nn.ReLU()
self.conv_main = nn.Conv2d(in_channels = self.in_channels,
out_channels = self.out_channels,
kernel_size = 1,
stride = self.stride,
padding = 0,
dilation = 1,
bias = False)
self.batch_norm_main = nn.BatchNorm2d(self.out_channels)
self.conv1 = nn.Conv2d(in_channels = self.in_channels,
out_channels = self.out_channels//4,
kernel_size = 1,
stride = self.stride,
padding = 0,
dilation = 1,
bias = False)
self.batch_norm1 = nn.BatchNorm2d(self.out_channels//4)
self.conv2 = nn.Conv2d(in_channels = self.out_channels//4,
out_channels = self.out_channels//4,
kernel_size = 3,
stride = 1,
padding = 1,
dilation = 1,
bias = False)
self.batch_norm2 = nn.BatchNorm2d(self.out_channels//4)
self.conv3 = nn.Conv2d(in_channels = self.out_channels//4,
out_channels = self.out_channels,
kernel_size = 1,
stride = 1,
padding = 0,
dilation = 1,
bias = False)
self.batch_norm3 = nn.BatchNorm2d(self.out_channels)
self.channel_attention = ChannelAttention(out_channels)
self.spatial_attention = SpatialAttention()
def forward(self, x):
#main branch
if self.downsample:
shortcut = self.conv_main(x)
shortcut = self.batch_norm_main(shortcut)
elif self.first_block:
shortcut = self.conv_main(x)
shortcut = self.batch_norm_main(shortcut)
else:
shortcut = x
#side branch
x = self.conv1(x)
x = self.batch_norm1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.batch_norm2(x)
x = self.relu(x)
x = self.conv3(x)
x = self.batch_norm3(x)
# operating channel attention and spatial attention sequentially
# if we want to operate only channel or spatial attention, just simply comment the corresponding line
x = x * self.channel_attention(x)
x = x * self.spatial_attention(x)
out = x + shortcut
out = self.relu(out)
return out
class CBAM_ResNet50(nn.Module):
def __init__(self):
super().__init__()
# remark: In the original ResNet paper, the first convolution layer takes stride=2 to downsample the input
# ,after this convolution layer there is also another maxpooling layer to do downsample as well.
# But that was the structure for ImageNet dataset which is 224x224 size. For CIFAR100 dataset, if we keep using
# this, there will be too many 1x1 dimension in the later layer's output which I did the experiment and found that
# the performance is poor. So here I refer to the official CBAM code, do not do downsampling in the first conv layer
# and delete the maxpooling layer as well.
# self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1, bias=False)
self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False)
self.bn1 = nn.BatchNorm2d(64)
self.relu = nn.ReLU()
self.b21 = BottleNeck_50(64,256,first_block=True)
self.b22 = BottleNeck_50(256,256)
self.b23 = BottleNeck_50(256,256)
self.b31 = BottleNeck_50(256,512,downsample=True)
self.b32 = BottleNeck_50(512,512)
self.b33 = BottleNeck_50(512,512)
self.b34 = BottleNeck_50(512,512)
self.b41 = BottleNeck_50(512,1024,downsample=True)
self.b42 = BottleNeck_50(1024,1024)
self.b43 = BottleNeck_50(1024,1024)
self.b44 = BottleNeck_50(1024,1024)
self.b45 = BottleNeck_50(1024,1024)
self.b46 = BottleNeck_50(1024,1024)
self.b51 = BottleNeck_50(1024,2048,downsample=True)
self.b52 = BottleNeck_50(2048,2048)
self.b53 = BottleNeck_50(2048,2048)
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.fc1 = nn.Linear(2050, 250)
self.fc2 = nn.Linear(250, 100)
self.fc3 = nn.Linear(100, 3)
def forward(self, x, x2):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.b21(x)
x = self.b22(x)
x = self.b23(x)
x = self.b31(x)
x = self.b32(x)
x = self.b33(x)
x = self.b34(x)
x = self.b41(x)
x = self.b42(x)
x = self.b43(x)
x = self.b44(x)
x = self.b45(x)
x = self.b46(x)
x = self.b51(x)
x = self.b52(x)
x = self.b53(x)
x = self.avg_pool(x)
x = x.view(x.size(0), -1)
x = torch.cat((x,x2), dim = 1)
x = self.fc1(x)
x = self.fc2(x)
x = self.fc3(x)
return x
| 35.928977
| 124
| 0.543923
| 1,595
| 12,647
| 4.186834
| 0.115987
| 0.048667
| 0.052111
| 0.04133
| 0.841869
| 0.760857
| 0.738694
| 0.719377
| 0.712639
| 0.691674
| 0
| 0.074463
| 0.35969
| 12,647
| 352
| 125
| 35.928977
| 0.750185
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| 0.046154
| false
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| 0.007692
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| null | 0
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| 1
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| 1
| 1
| 1
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| 0
| 0
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| 1
| 0
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| null | 0
| 0
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| 0
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| 0
| 0
|
0
| 7
|
cbe7d47041b0bf351635b204dd5c19ab349cf871
| 130
|
py
|
Python
|
python/voidvoid/server/lib/util.py
|
vesche/snippets
|
7a9d598df99c26c4e0c63669f9f95a94eeed0d08
|
[
"Unlicense"
] | 7
|
2016-01-03T19:42:07.000Z
|
2018-10-23T14:03:12.000Z
|
python/voidvoid/server/lib/util.py
|
vesche/snippets
|
7a9d598df99c26c4e0c63669f9f95a94eeed0d08
|
[
"Unlicense"
] | null | null | null |
python/voidvoid/server/lib/util.py
|
vesche/snippets
|
7a9d598df99c26c4e0c63669f9f95a94eeed0d08
|
[
"Unlicense"
] | 1
|
2018-03-09T08:52:01.000Z
|
2018-03-09T08:52:01.000Z
|
import random
def get_damage(level):
return level * random.randint(1, 10)
def roll_dice(n):
return random.randint(1, n)
| 16.25
| 40
| 0.7
| 21
| 130
| 4.238095
| 0.619048
| 0.292135
| 0.314607
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| 0
| 0.037736
| 0.184615
| 130
| 8
| 41
| 16.25
| 0.801887
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| 0.4
| false
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| 1
| 0
|
0
| 7
|
1dc19777fe4e3c885b13f305d5faa90cdf212bf1
| 16,370
|
py
|
Python
|
tests/wf.py
|
izgzhen/cozy
|
fc57fdccdd52c5ecf4c4ae4e8b80af97e8119b77
|
[
"Apache-2.0"
] | null | null | null |
tests/wf.py
|
izgzhen/cozy
|
fc57fdccdd52c5ecf4c4ae4e8b80af97e8119b77
|
[
"Apache-2.0"
] | null | null | null |
tests/wf.py
|
izgzhen/cozy
|
fc57fdccdd52c5ecf4c4ae4e8b80af97e8119b77
|
[
"Apache-2.0"
] | null | null | null |
from collections import OrderedDict
import unittest
from cozy.common import OrderedSet
from cozy.target_syntax import *
from cozy.structures.heaps import *
from cozy.pools import RUNTIME_POOL
from cozy.typecheck import retypecheck
from cozy.wf import exp_wf, repair_well_formedness
from cozy.contexts import RootCtx
class TestWf(unittest.TestCase):
def test_heap_wf(self):
e = EHeapPeek2(EStateVar(EMakeMinHeap(EVar('xs'), ELambda(EVar('_var21501'), EVar('_var21501')))), EStateVar(EUnaryOp('len', EVar('xs'))))
assert retypecheck(e, env={
"xs": INT_BAG,
"_var21501": INT})
state_vars = OrderedSet([EVar('xs').with_type(TBag(TInt()))])
args = OrderedSet([EVar('x').with_type(TInt())])
pool = RUNTIME_POOL
assert exp_wf(e, context=RootCtx(args=args, state_vars=state_vars), pool=pool)
def test_repair_regression01(self):
e = EBinOp(EMapKeys(EMakeMap2(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var17561').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBool(True).with_type(TBool()))).with_type(TMap(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))), TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '-', EMapKeys(ELet(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EMakeMap2(EBinOp(EBinOp(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '-', ESingleton(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '+', ESingleton(EMakeRecord((('conn_state', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))), ('conn_host', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))), ('conn_iface', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('conn_next_refresh', ECall('after', (EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))), ('conn_returned', EVar('now').with_type(TNative('mongo::Date_t'))), ('conn_last_used', EVar('retId').with_type(TInt())), ('conn_dropped', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_dropped').with_type(TBool())))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var17561').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBool(True).with_type(TBool()))).with_type(TMap(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))), TBool())))).with_type(TMap(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))), TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('now').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict([('eternity', TFunc((), TNative('mongo::Date_t'))), ('after', TFunc((TNative('mongo::Date_t'), TNative('mongo::Milliseconds')), TNative('mongo::Date_t'))), ('nullConn', TFunc((), TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('nullReq', TFunc((), TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))]))
assert not exp_wf(e, context=context, pool=RUNTIME_POOL)
extra_state = [EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('retId').with_type(TInt()), EMakeMap2(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var17561').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBool(True).with_type(TBool()))).with_type(TMap(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))), TBool()))]
e_prime = repair_well_formedness(e, context, extra_state)
assert exp_wf(e_prime, context=context, pool=RUNTIME_POOL)
| 528.064516
| 11,583
| 0.702749
| 1,932
| 16,370
| 5.681159
| 0.065217
| 0.177114
| 0.112245
| 0.11926
| 0.892766
| 0.861425
| 0.860696
| 0.848943
| 0.83719
| 0.817693
| 0
| 0.002313
| 0.049359
| 16,370
| 30
| 11,584
| 545.666667
| 0.702994
| 0
| 0
| 0
| 0
| 0
| 0.501772
| 0.133109
| 0.038462
| 0
| 0
| 0
| 0.153846
| 1
| 0.076923
| false
| 0
| 0.346154
| 0
| 0.461538
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 1
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| 0
|
0
| 9
|
1df21729542e1a665564bba81e9a9b6d7aafeb24
| 22,205
|
py
|
Python
|
utils/datasets.py
|
salvacarrion/yolo4math
|
57102831bbad7e70f213052664202449d41a1294
|
[
"MIT"
] | 4
|
2019-12-06T06:40:19.000Z
|
2021-09-18T11:12:33.000Z
|
utils/datasets.py
|
salvacarrion/yolo4math
|
57102831bbad7e70f213052664202449d41a1294
|
[
"MIT"
] | null | null | null |
utils/datasets.py
|
salvacarrion/yolo4math
|
57102831bbad7e70f213052664202449d41a1294
|
[
"MIT"
] | 1
|
2020-05-01T14:33:12.000Z
|
2020-05-01T14:33:12.000Z
|
import glob
import random
import os
import sys
import numpy as np
from PIL import Image
import torch
import torch.nn.functional as F
import albumentations as A
# from utils.augmentations import horisontal_flip
from torch.utils.data import Dataset
from torchvision import transforms
from utils.utils import *
from models.ssd.utils import transform
def resize(image, size):
image = F.interpolate(image.unsqueeze(0), size=size, mode="nearest").squeeze(0)
return image
class PascalVOCDataset(Dataset):
def __init__(self, dataset_path, input_size, transform=None, multiscale=False, normalized_bboxes=True,
balance_classes=False, class_names=None, single_channel=False):
self.img_files = []
self.label_files = []
self.input_size = input_size
self.transform = transform
self.normalized_bboxes = normalized_bboxes
self.multiscale = multiscale
self.balance_classes = balance_classes
self.class_counter = np.zeros(len(class_names))
self.ignored, self.total = 0, 0
self.single_channel = single_channel
# Read data files
with open(os.path.join(dataset_path, 'TRAIN_images.json'), 'r') as j:
self.img_files = json.load(j)
with open(os.path.join(dataset_path, 'TRAIN_objects.json'), 'r') as j:
self.label_files = json.load(j)
assert len(self.img_files) == len(self.label_files)
def __getitem__(self, index):
# For debugging
# print("Index: {}".format(index))
# index = 174
index = index
# Get paths
img_path = self.img_files[index % len(self.img_files)].rstrip()
annotations = self.label_files[index % len(self.img_files)]
# Load bboxes and labels
bboxes_xyxy_abs = torch.FloatTensor(annotations['boxes'])
bboxes_labels = torch.LongTensor(annotations['labels'])
# Ignore image if empty boxes
if bboxes_xyxy_abs.size(0) == 0:
self.ignored += 1
print("Ignored {}/{}".format(self.ignored, self.total))
return img_path, None, None
# Load image
img = np.asarray(Image.open(img_path).convert('RGB'))
# Get input dimensions
h, w, c = img.shape
h_factor, w_factor = (h, w) if self.normalized_bboxes else (1, 1)
# Sanity check I
# plot_bboxes(img, bboxes_xyxy_abs, title="Original ({})".format(img_path))
min_w = min(w, self.input_size[1])
min_h = min(h, self.input_size[0])
max_side = max(min_h, min_w)
# Data format
self.data_format = A.Compose([
# A.ToGray(p=1.0),
A.LongestMaxSize(max_size=max_side, interpolation=cv2.INTER_AREA),
A.PadIfNeeded(min_height=self.input_size[0], min_width=self.input_size[1],
border_mode=cv2.BORDER_CONSTANT,
value=(128, 128, 128)),
], p=1)
# Convert bboxes to albumentations [BBOXES=NUMPY]
bboxes_albu = convert_bboxes_to_albumentations(bboxes_xyxy_abs.numpy(), source_format='pascal_voc', rows=img.shape[0], cols=img.shape[1])
# Default image format
img_format = self.data_format(image=img, bboxes=bboxes_albu)
img = img_format['image'][..., 0] if self.single_channel else img_format['image'] # 1 vs. 3 channels
# img = img[..., np.newaxis] # Add channel dimension
bboxes_albu = img_format['bboxes']
# Custom transformations
if self.transform:
# Perform augmentation
img_format = self.transform(image=img, bboxes=bboxes_albu)
img = img_format['image']
bboxes_albu = img_format['bboxes']
# Convert bboxes from albumentations [BBOXES=NUMPY]
bboxes_xyxy_abs = convert_bboxes_from_albumentations(bboxes_albu, target_format='pascal_voc', rows=img.shape[0], cols=img.shape[1])
# Sanity check II
# print("Regions: {}".format(len(bboxes_xyxy_abs)))
# plot_bboxes(img, bboxes_xyxy_abs, title="Augmented ({})".format(img_path))
# Convert (PIL/Numpy) to PyTorch Tensor
img = transforms.ToTensor()(Image.fromarray(img))
img_c, img_h, img_w = img.shape
# Fix bboxes (keep into the region boundaries)
bboxes_xyxy_abs = torch.tensor(bboxes_xyxy_abs)
bboxes_xyxy_abs, kept_indices = fix_bboxes(bboxes_xyxy_abs, img_h, img_w) # Use new size (padding)
#bboxes_labels += 1 # Background starts at 0
bboxes_labels = bboxes_labels[kept_indices] # Math dimensions
# Keep embedded/isolated (debugging)
# kept_indices = torch.ByteTensor(bboxes_labels == 2)
# bboxes_labels = bboxes_labels[kept_indices]
# bboxes_xyxy_abs = bboxes_xyxy_abs[kept_indices]
# Sanity check III
# plot_bboxes(img, bboxes_xyxy_abs, title="Augmented Fix ({})".format(img_path))
# Format boxes to REL(xywh)
boxes_xyxy_rel = abs2rel(bboxes_xyxy_abs, img_h, img_w) # new size (padding)
# normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
# std=[0.229, 0.224, 0.225])
# img = normalize(img)
# print(self.class_counter.tolist())
self.total += 1
return img_path, img, boxes_xyxy_rel, bboxes_labels.type(torch.int64)
def collate_fn(self, batch):
"""
Since each image may have a different number of objects, we need a collate function (to be passed to the DataLoader).
This describes how to combine these tensors of different sizes. We use lists.
Note: this need not be defined in this Class, can be standalone.
:param batch: an iterable of N sets from __getitem__()
:return: a tensor of images, lists of varying-size tensors of bounding boxes, labels, and difficulties
"""
img_paths = list()
images = list()
boxes = list()
labels = list()
for b in batch:
if len(b[2]) == 0: # Skip images without bounding boxes
continue
img_paths.append(b[0])
images.append(b[1])
boxes.append(b[2])
labels.append(b[3])
images = torch.stack(images, dim=0) if images else images
return img_paths, images, boxes, labels # tensor (N, 3, 300, 300), 3 lists of N tensors each
def __len__(self):
return len(self.img_files)
class ListDatasetSSD(Dataset):
def __init__(self, images_path, labels_path, input_size, transform=None, multiscale=False, normalized_bboxes=True,
balance_classes=False, class_names=None, single_channel=False):
self.img_files = []
self.label_files = []
self.input_size = input_size
self.transform = transform
self.normalized_bboxes = normalized_bboxes
self.multiscale = multiscale
self.balance_classes = balance_classes
self.class_counter = np.zeros(len(class_names))
self.ignored, self.total = 0, 0
self.single_channel = single_channel
# Get files
self.img_files = []
self.label_files = []
for filename in os.listdir(images_path):
img_path = os.path.join(images_path, filename)
label_path = os.path.join(labels_path, filename.replace(".jpg", ".txt").replace(".png", ".txt"))
# Check if label file exists
if os.path.exists(label_path):
self.img_files.append(img_path)
self.label_files.append(label_path)
def __getitem__(self, index):
# For debugging
# print("Index: {}".format(index))
# index = 174
index = index
# Get paths
img_path = self.img_files[index % len(self.img_files)].rstrip()
label_path = self.label_files[index % len(self.img_files)].rstrip()
# Load bboxes
bboxes = torch.from_numpy(np.loadtxt(label_path).reshape(-1, 5))
# Remove elements to balance training
if self.balance_classes:
kept_indices = balance_batch(bboxes[:, 0].numpy(), self.class_counter)
bboxes = bboxes[kept_indices]
# Ignore image if empty boxes
if bboxes.size(0) == 0:
self.ignored += 1
print("Ignored {}/{}".format(self.ignored, self.total))
return img_path, None, None
# Load image
img = np.asarray(Image.open(img_path).convert('RGB'))
# Get input dimensions
h, w, c = img.shape
h_factor, w_factor = (h, w) if self.normalized_bboxes else (1, 1)
min_w = min(w, self.input_size[1])
min_h = min(h, self.input_size[0])
max_side = max(min_h, min_w)
# Data format
self.data_format = A.Compose([
#A.ToGray(p=1.0),
A.LongestMaxSize(max_size=max_side, interpolation=cv2.INTER_AREA),
A.PadIfNeeded(min_height=self.input_size[0], min_width=self.input_size[1],
border_mode=cv2.BORDER_CONSTANT,
value=(128, 128, 128)),
], p=1)
# Convert bboxes
bboxes_labels = bboxes[:, 0]
bboxes_xywh_rel = bboxes[:, 1:]
bboxes_xyxy_rel = xywh2xyxy(bboxes_xywh_rel)
bboxes_xyxy_abs = rel2abs(bboxes_xyxy_rel, h_factor, w_factor) # image size
# Sanity check I
# plot_bboxes(img, bboxes_xyxy_abs, title="Original ({})".format(img_path))
# Convert bboxes to albumentations [BBOXES=NUMPY]
bboxes_albu = convert_bboxes_to_albumentations(bboxes_xyxy_abs.numpy(), source_format='pascal_voc', rows=img.shape[0], cols=img.shape[1])
# Default image format
img_format = self.data_format(image=img, bboxes=bboxes_albu)
img = img_format['image'][..., 0] if self.single_channel else img_format['image'] # 1 vs. 3 channels
# img = img[..., np.newaxis] # Add channel dimension
bboxes_albu = img_format['bboxes']
# Custom transformations
if self.transform:
# Perform augmentation
img_format = self.transform(image=img, bboxes=bboxes_albu)
img = img_format['image']
bboxes_albu = img_format['bboxes']
# Convert bboxes from albumentations [BBOXES=NUMPY]
bboxes_xyxy_abs = convert_bboxes_from_albumentations(bboxes_albu, target_format='pascal_voc', rows=img.shape[0], cols=img.shape[1])
# Sanity check II
# print("Regions: {}".format(len(bboxes_xyxy_abs)))
# plot_bboxes(img, bboxes_xyxy_abs, title="Augmented ({})".format(img_path))
# Convert (PIL/Numpy) to PyTorch Tensor
img = transforms.ToTensor()(Image.fromarray(img))
img_c, img_h, img_w = img.shape
# Fix bboxes (keep into the region boundaries)
bboxes_xyxy_abs = torch.tensor(bboxes_xyxy_abs)
bboxes_xyxy_abs, kept_indices = fix_bboxes(bboxes_xyxy_abs, img_h, img_w) # Use new size (padding)
bboxes_labels += 1 # Background starts at 0
bboxes_labels = bboxes_labels[kept_indices] # Math dimensions
# Keep embedded/isolated (debugging)
# kept_indices = torch.ByteTensor(bboxes_labels == 2)
# bboxes_labels = bboxes_labels[kept_indices]
# bboxes_xyxy_abs = bboxes_xyxy_abs[kept_indices]
# Sanity check III
# plot_bboxes(img, bboxes_xyxy_abs, title="Augmented Fix ({})".format(img_path))
# Format boxes to REL(xywh)
boxes_xyxy_rel = abs2rel(bboxes_xyxy_abs, img_h, img_w) # new size (padding)
# normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
# std=[0.229, 0.224, 0.225])
# img = normalize(img)
# print(self.class_counter.tolist())
self.total += 1
return img_path, img, boxes_xyxy_rel, bboxes_labels.type(torch.int64)
def collate_fn(self, batch):
"""
Since each image may have a different number of objects, we need a collate function (to be passed to the DataLoader).
This describes how to combine these tensors of different sizes. We use lists.
Note: this need not be defined in this Class, can be standalone.
:param batch: an iterable of N sets from __getitem__()
:return: a tensor of images, lists of varying-size tensors of bounding boxes, labels, and difficulties
"""
img_paths = list()
images = list()
boxes = list()
labels = list()
for b in batch:
if len(b[2]) == 0: # Skip images without bounding boxes
continue
img_paths.append(b[0])
images.append(b[1])
boxes.append(b[2])
labels.append(b[3])
images = torch.stack(images, dim=0) if images else images
return img_paths, images, boxes, labels # tensor (N, 3, 300, 300), 3 lists of N tensors each
def __len__(self):
return len(self.img_files)
class ListDataset(Dataset):
def __init__(self, images_path, labels_path, input_size, transform=None, multiscale=False, normalized_bboxes=True,
balance_classes=False, class_names=None, single_channel=True):
self.img_files = []
self.label_files = []
self.input_size = input_size
self.transform = transform
self.normalized_bboxes = normalized_bboxes
self.multiscale = multiscale
self.min_input_size = self.input_size - 3 * 32 # Network stride
self.max_input_size = self.input_size + 3 * 32
self.balance_classes = balance_classes
self.class_counter = np.zeros(len(class_names))
self.ignored, self.total = 0, 0
self.single_channel = single_channel
self.batch_count = 0
# Data format
self.data_format = A.Compose([
A.ToGray(p=1.0),
A.LongestMaxSize(max_size=self.input_size, interpolation=cv2.INTER_AREA),
A.PadIfNeeded(min_height=self.input_size, min_width=self.input_size, border_mode=cv2.BORDER_CONSTANT,
value=(128, 128, 128)),
], p=1)
# Get files
self.img_files = []
self.label_files = []
for filename in os.listdir(images_path):
img_path = os.path.join(images_path, filename)
label_path = os.path.join(labels_path, filename.replace(".jpg", ".txt").replace(".png", ".txt"))
# Check if label file exists
if os.path.exists(label_path):
self.img_files.append(img_path)
self.label_files.append(label_path)
def __getitem__(self, index):
# For debugging
# print("Index: {}".format(index))
# index = 174
index = index
# Get paths
img_path = self.img_files[index % len(self.img_files)].rstrip()
label_path = self.label_files[index % len(self.img_files)].rstrip()
# Load bboxes
bboxes = torch.from_numpy(np.loadtxt(label_path).reshape(-1, 5))
# Remove elements to balance training
if self.balance_classes:
kept_indices = balance_batch(bboxes[:, 0].numpy(), self.class_counter)
bboxes = bboxes[kept_indices]
# Ignore image if empty boxes
if bboxes.size(0) == 0:
self.ignored += 1
print("Ignored {}/{}".format(self.ignored, self.total))
return img_path, None, None
# Load image
img = np.asarray(Image.open(img_path).convert('RGB'))
# Get input dimensions
h, w, c = img.shape
h_factor, w_factor = (h, w) if self.normalized_bboxes else (1, 1)
# Convert bboxes
bboxes_labels = bboxes[:, 0]
bboxes_xywh_rel = bboxes[:, 1:]
bboxes_xyxy_rel = xywh2xyxy(bboxes_xywh_rel)
bboxes_xyxy_abs = rel2abs(bboxes_xyxy_rel, h_factor, w_factor) # image size
# Sanity check I
# plot_bboxes(img, bboxes_xyxy_abs, title="Original ({})".format(img_path))
# Convert bboxes to albumentations [BBOXES=NUMPY]
bboxes_albu = convert_bboxes_to_albumentations(bboxes_xyxy_abs.numpy(), source_format='pascal_voc', rows=img.shape[0], cols=img.shape[1])
# Default image format
img_format = self.data_format(image=img, bboxes=bboxes_albu)
img = img_format['image'][..., 0] if self.single_channel else img_format['image'] # 1 vs. 3 channels
# img = img[..., np.newaxis] # Add channel dimension
bboxes_albu = img_format['bboxes']
# Custom transformations
if self.transform:
# Perform augmentation
img_format = self.transform(image=img, bboxes=bboxes_albu)
img = img_format['image']
bboxes_albu = img_format['bboxes']
# Convert bboxes from albumentations [BBOXES=NUMPY]
bboxes_xyxy_abs = convert_bboxes_from_albumentations(bboxes_albu, target_format='pascal_voc', rows=img.shape[0], cols=img.shape[1])
# Sanity check II
# print("Regions: {}".format(len(bboxes_xyxy_abs)))
# plot_bboxes(img, bboxes_xyxy_abs, title="Augmented ({})".format(img_path))
# Convert (PIL/Numpy) to PyTorch Tensor
img = transforms.ToTensor()(Image.fromarray(img))
img_c, img_h, img_w = img.shape
# Fix bboxes (keep into the region boundaries)
bboxes_xyxy_abs = torch.tensor(bboxes_xyxy_abs)
bboxes_xyxy_abs, kept_indices = fix_bboxes(bboxes_xyxy_abs, img_h, img_w) # Use new size (padding)
bboxes_labels = bboxes_labels[kept_indices] # Math dimensions
# Sanity check III
# plot_bboxes(img, bboxes_xyxy_abs, title="Augmented Fix ({})".format(img_path))
# Format boxes to REL(xywh)
boxes_xywh_abs = xyxy2xywh(bboxes_xyxy_abs)
boxes_xywh_rel = abs2rel(boxes_xywh_abs, img_h, img_w) # new size (padding)
# For debugging
# print("xyxy_abs: {}".format(bboxes_xyxy[0]))
# print("cxcywh_abs: {}".format(boxes_cxcywh[0]))
# print("cxcywh_rel: {}".format(boxes_cxcywh[0]))
# Transform targets (bboxes)
targets = torch.zeros((len(boxes_xywh_rel), 6)) # 0(batch), class_id + cxcywh_rel (REL)
targets[:, 1] = bboxes_labels
targets[:, 2:] = boxes_xywh_rel
# # [Debug]: Keep class X
# targets = targets[targets[:, 1] == 0]
# Update seen classes
for c in targets[:, 1]:
self.class_counter[int(c)] += 1
# print(self.class_counter.tolist())
self.total += 1
return img_path, img, targets
def collate_fn(self, batch):
img_paths, imgs, targets = list(zip(*batch))
# If empty, leave
if targets[0] is None:
return None, None, None
# Get targets as a list of tensors
targets = [boxes for boxes in targets if boxes is not None]
# Add index to track this batch
for i, boxes in enumerate(targets):
boxes[:, 0] = i
# Stack all boxes (fixed sized)
targets = torch.cat(targets, dim=0)
# Selects new image size every tenth batch
if self.multiscale and self.batch_count % 10 == 0:
self.input_size = random.choice(range(self.min_input_size, self.max_input_size + 1, 32))
# Resize images to input shape
imgs = torch.stack([resize(img, self.input_size) for img in imgs])
# Images to Tensor
# imgs = torch.stack([img for img in imgs])
self.batch_count += 1
return img_paths, imgs, targets
def __len__(self):
return len(self.img_files)
class ImageFolder(Dataset):
def __init__(self, images_path, input_size, transform=None):
self.images = []
self.input_size = input_size
self.transform = transform
# Data format
self.data_format = A.Compose([
A.LongestMaxSize(max_size=self.input_size, interpolation=cv2.INTER_AREA),
A.PadIfNeeded(min_height=self.input_size, min_width=self.input_size, border_mode=cv2.BORDER_CONSTANT,
value=(128, 128, 128))
], p=1)
# Get images
for file in os.listdir(images_path):
self.images.append(os.path.join(images_path, file))
def __getitem__(self, index):
# For debugging
# print("Index: {}".format(index))
# index = 174
image_path = self.images[index % len(self.images)]
# Load image as RGB
img = np.asarray(Image.open(image_path).convert('RGB')) # L
# Default image format
img = self.data_format(image=img)
img = img['image']
if self.transform:
# Perform augmentation
augmented_data = self.transform(image=img)
img = augmented_data['image']
# Convert image (PIL/Numpy) to PyTorch Tensor
img = transforms.ToTensor()(img)
return image_path, img
def __len__(self):
return len(self.images)
class SingleImage:
def __init__(self, input_size, transform=None):
self.images = []
self.input_size = input_size
self.transform = transform
# Data format
self.data_format = A.Compose([
# A.ToGray(p=1.0),
A.LongestMaxSize(max_size=self.input_size[0], interpolation=cv2.INTER_AREA),
A.PadIfNeeded(min_height=self.input_size[0], min_width=self.input_size[1], border_mode=cv2.BORDER_CONSTANT,
value=(128, 128, 128)),
], p=1)
def apply_transform(self, img_path):
# Load image as RGB
img = np.asarray(Image.open(img_path).convert('RGB')) # L
# Default image format
img = self.data_format(image=img)
img = img['image']
# Convert image (PIL/Numpy) to PyTorch Tensor
img = transforms.ToTensor()(img)
return img
| 38.284483
| 149
| 0.611529
| 2,827
| 22,205
| 4.59427
| 0.102936
| 0.035417
| 0.041038
| 0.011549
| 0.859101
| 0.848091
| 0.844164
| 0.837927
| 0.8253
| 0.816908
| 0
| 0.017058
| 0.281873
| 22,205
| 579
| 150
| 38.350604
| 0.797441
| 0.253186
| 0
| 0.759197
| 0
| 0
| 0.01821
| 0
| 0
| 0
| 0
| 0
| 0.003344
| 1
| 0.060201
| false
| 0
| 0.043478
| 0.013378
| 0.177258
| 0.010033
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
382f2674d7c99932081bd453362ef1a0bfb8bcd5
| 1,796
|
py
|
Python
|
tests/plugins/Filters.py
|
PPierzc/Sappy
|
5ea6a88f6185e85fe0ce04ca85d082c290d0ebdf
|
[
"MIT"
] | 1
|
2019-09-14T17:29:13.000Z
|
2019-09-14T17:29:13.000Z
|
tests/plugins/Filters.py
|
PPierzc/Sappy
|
5ea6a88f6185e85fe0ce04ca85d082c290d0ebdf
|
[
"MIT"
] | 2
|
2019-04-02T10:45:58.000Z
|
2019-04-02T17:34:47.000Z
|
tests/plugins/Filters.py
|
PPierzc/Sappy
|
5ea6a88f6185e85fe0ce04ca85d082c290d0ebdf
|
[
"MIT"
] | 3
|
2019-04-07T21:49:36.000Z
|
2019-10-20T19:24:10.000Z
|
import unittest
import numpy as np
from saffy import SignalManager
from ..mocks import sine_wave
class TestFiltersPlugin(unittest.TestCase):
@staticmethod
def characteristics_test():
sig = SignalManager(generator=sine_wave())
sig.butter_lowpass_filter(10)
sig.filter_characteristics()
def butter_lowpass_filter_test(self):
filter_cutoff = 10
sig = SignalManager(generator=sine_wave())
sig.butter_lowpass_filter(filter_cutoff)
sig.filter_characteristics()
transmittance_grad = abs(np.gradient(sig.filters['characteristics']['abs_transmittance']))
max_trans_idx = np.where(transmittance_grad == transmittance_grad.max())
max_freq = sig.filters['characteristics']['f'][max_trans_idx]
diff = abs(max_freq - filter_cutoff)
self.assertLessEqual(diff, 1)
def butter_highpass_filter_test(self):
filter_cutoff = 10
sig = SignalManager(generator=sine_wave())
sig.butter_highpass_filter(filter_cutoff)
sig.filter_characteristics()
transmittance_grad = abs(np.gradient(sig.filters['characteristics']['abs_transmittance']))
max_trans_idx = np.where(transmittance_grad == transmittance_grad.max())
max_freq = sig.filters['characteristics']['f'][max_trans_idx]
diff = abs(max_freq - filter_cutoff)
self.assertLessEqual(diff, 1)
def cheb2_notch_filter_test(self):
filter_cutoff = 10
sig = SignalManager(generator=sine_wave())
sig.cheb2_notch_filter(filter_cutoff)
sig.filter_characteristics()
transmittance_grad = abs(np.gradient(sig.filters['characteristics']['abs_transmittance']))
max_trans_idx = np.where(transmittance_grad == transmittance_grad.max())
max_freq = sig.filters['characteristics']['f'][max_trans_idx]
diff = abs(max_freq - filter_cutoff)
self.assertLessEqual(diff, 1)
if __name__ == '__main__':
unittest.main()
| 29.933333
| 92
| 0.773942
| 227
| 1,796
| 5.797357
| 0.202643
| 0.082067
| 0.113982
| 0.088146
| 0.803951
| 0.803951
| 0.803951
| 0.803951
| 0.803951
| 0.756839
| 0
| 0.008125
| 0.109131
| 1,796
| 59
| 93
| 30.440678
| 0.814375
| 0
| 0
| 0.619048
| 0
| 0
| 0.084633
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 1
| 0.095238
| false
| 0.119048
| 0.095238
| 0
| 0.214286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
69b07aee5281b1844a395a53129fe7f7ae71ef50
| 100
|
py
|
Python
|
gcloud/datastore/demo/__main__.py
|
rakyll/gcloud-python
|
ad1f0f735963dbc138d6d8e20ed0dbf5e6fea0d3
|
[
"Apache-2.0"
] | 1
|
2019-04-16T11:09:50.000Z
|
2019-04-16T11:09:50.000Z
|
gcloud/datastore/demo/__main__.py
|
rakyll/gcloud-python
|
ad1f0f735963dbc138d6d8e20ed0dbf5e6fea0d3
|
[
"Apache-2.0"
] | null | null | null |
gcloud/datastore/demo/__main__.py
|
rakyll/gcloud-python
|
ad1f0f735963dbc138d6d8e20ed0dbf5e6fea0d3
|
[
"Apache-2.0"
] | null | null | null |
from gcloud import demo
from gcloud import datastore
demo.DemoRunner.from_module(datastore).run()
| 16.666667
| 44
| 0.82
| 14
| 100
| 5.785714
| 0.571429
| 0.246914
| 0.395062
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11
| 100
| 5
| 45
| 20
| 0.910112
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
69d0b4e0b6ef46cdb435a3f6dfb80bff98f11827
| 194
|
py
|
Python
|
mysite/jxl/__init__.py
|
alex-gagnon/jxl_django
|
2060a686551f1ed22b96b3ae72572999557bf812
|
[
"MIT"
] | null | null | null |
mysite/jxl/__init__.py
|
alex-gagnon/jxl_django
|
2060a686551f1ed22b96b3ae72572999557bf812
|
[
"MIT"
] | 5
|
2021-04-08T19:42:19.000Z
|
2022-02-10T12:10:02.000Z
|
mysite/jxl/__init__.py
|
alex-gagnon/jxl_django
|
2060a686551f1ed22b96b3ae72572999557bf812
|
[
"MIT"
] | null | null | null |
import os
from dotenv import load_dotenv
load_dotenv()
auth = {'url': os.environ.get('JIRA_URL'),
'user': os.environ.get('JIRA_USER'),
'pwd': os.environ.get('JIRA_PASSWORD')}
| 19.4
| 47
| 0.649485
| 28
| 194
| 4.321429
| 0.464286
| 0.223141
| 0.297521
| 0.396694
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175258
| 194
| 9
| 48
| 21.555556
| 0.75625
| 0
| 0
| 0
| 0
| 0
| 0.206186
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 7
|
69d88f2b2f3d61f1c9f78aafdd1e688d007794e1
| 5,991
|
py
|
Python
|
tccli/services/cloudaudit/v20190319/help.py
|
zyh911/tencentcloud-cli
|
dfc5dbd660d4c60d265921c4edc630091478fc41
|
[
"Apache-2.0"
] | null | null | null |
tccli/services/cloudaudit/v20190319/help.py
|
zyh911/tencentcloud-cli
|
dfc5dbd660d4c60d265921c4edc630091478fc41
|
[
"Apache-2.0"
] | null | null | null |
tccli/services/cloudaudit/v20190319/help.py
|
zyh911/tencentcloud-cli
|
dfc5dbd660d4c60d265921c4edc630091478fc41
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
DESC = "cloudaudit-2019-03-19"
INFO = {
"StartLogging": {
"params": [
{
"name": "AuditName",
"desc": "跟踪集名称"
}
],
"desc": "开启跟踪集"
},
"GetAttributeKey": {
"params": [
{
"name": "WebsiteType",
"desc": "网站类型，取值范围是zh和en。如果不传值默认zh"
}
],
"desc": "查询AttributeKey的有效取值范围"
},
"ListCmqEnableRegion": {
"params": [
{
"name": "WebsiteType",
"desc": "站点类型。zh表示中国区，en表示国际区。默认中国区。"
}
],
"desc": "查询云审计支持的cmq的可用区"
},
"DeleteAudit": {
"params": [
{
"name": "AuditName",
"desc": "跟踪集名称"
}
],
"desc": "删除跟踪集"
},
"StopLogging": {
"params": [
{
"name": "AuditName",
"desc": "跟踪集名称"
}
],
"desc": "关闭跟踪集"
},
"InquireAuditCredit": {
"params": [],
"desc": "查询用户可创建跟踪集的数量"
},
"UpdateAudit": {
"params": [
{
"name": "AuditName",
"desc": "跟踪集名称"
},
{
"name": "CmqQueueName",
"desc": "队列名称。队列名称是一个不超过64个字符的字符串，必须以字母为首字符，剩余部分可以包含字母、数字和横划线(-)。如果IsEnableCmqNotify值是1的话，此值属于必填字段。如果不是新创建的队列，云审计不会去校验该队列是否真的存在，请谨慎填写，避免日志通知不成功，导致您的数据丢失。"
},
{
"name": "CmqRegion",
"desc": "队列所在的地域。可以通过ListCmqEnableRegion获取支持的cmq地域。如果IsEnableCmqNotify值是1的话，此值属于必填字段。"
},
{
"name": "CosBucketName",
"desc": "cos的存储桶名称。仅支持小写英文字母和数字即[a-z，0-9]、中划线“-”及其组合。用户自定义的字符串支持1 - 40个字符。存储桶命名不能以“-”开头或结尾。如果不是新创建的存储桶，云审计不会去校验该存储桶是否真的存在，请谨慎填写，避免日志投递不成功，导致您的数据丢失。"
},
{
"name": "CosRegion",
"desc": "cos地域。目前支持的地域可以使用ListCosEnableRegion来获取。"
},
{
"name": "IsCreateNewBucket",
"desc": "是否创建新的cos存储桶。1：是，0：否。"
},
{
"name": "IsCreateNewQueue",
"desc": "是否创建新的队列。1：是，0：否。如果IsEnableCmqNotify值是1的话，此值属于必填字段。"
},
{
"name": "IsEnableCmqNotify",
"desc": "是否开启cmq消息通知。1：是，0：否。目前仅支持cmq的队列服务。如果开启cmq消息通知服务，云审计会将您的日志内容实时投递到您指定地域的指定队列中。"
},
{
"name": "IsEnableKmsEncry",
"desc": "是否开启kms加密。1：是，0：否。如果开启KMS加密，数据在投递到cos时，会将数据加密。"
},
{
"name": "KeyId",
"desc": "CMK的全局唯一标识符，如果不是新创建的kms，该值是必填值。可以通过ListKeyAliasByRegion来获取。云审计不会校验KeyId的合法性，请您谨慎填写，避免给您的数据造成损失。"
},
{
"name": "KmsRegion",
"desc": "kms地域。目前支持的地域可以使用ListKmsEnableRegion来获取。必须要和cos的地域保持一致。"
},
{
"name": "LogFilePrefix",
"desc": "日志文件前缀。3-40个字符，只能包含 ASCII 编码字母 a-z，A-Z，数字 0-9。"
},
{
"name": "ReadWriteAttribute",
"desc": "管理事件的读写属性。1：只读，2：只写，3：全部。"
}
],
"desc": "参数要求：\n1、如果IsCreateNewBucket的值存在的话，cosRegion和cosBucketName都是必填参数。\n2、如果IsEnableCmqNotify的值是1的话，IsCreateNewQueue、CmqRegion和CmqQueueName都是必填参数。\n3、如果IsEnableCmqNotify的值是0的话，IsCreateNewQueue、CmqRegion和CmqQueueName都不能传。\n4、如果IsEnableKmsEncry的值是1的话，KmsRegion和KeyId属于必填项"
},
"DescribeAudit": {
"params": [
{
"name": "AuditName",
"desc": "跟踪集名称"
}
],
"desc": "查询跟踪集详情"
},
"CreateAudit": {
"params": [
{
"name": "AuditName",
"desc": "跟踪集名称。3-128字符，只能包含 ASCII 编码字母 a-z，A-Z，数字 0-9，下划线 _。"
},
{
"name": "CosBucketName",
"desc": "cos的存储桶名称。仅支持小写英文字母和数字即[a-z，0-9]、中划线“-”及其组合。用户自定义的字符串支持1 - 40个字符。存储桶命名不能以“-”开头或结尾。如果不是新创建的存储桶，云审计不会去校验该存储桶是否真的存在，请谨慎填写，避免日志投递不成功，导致您的数据丢失。"
},
{
"name": "CosRegion",
"desc": "cos地域。目前支持的地域可以使用ListCosEnableRegion来获取。"
},
{
"name": "IsCreateNewBucket",
"desc": "是否创建新的cos存储桶。1：是，0：否。"
},
{
"name": "IsEnableCmqNotify",
"desc": "是否开启cmq消息通知。1：是，0：否。目前仅支持cmq的队列服务。如果开启cmq消息通知服务，云审计会将您的日志内容实时投递到您指定地域的指定队列中。"
},
{
"name": "ReadWriteAttribute",
"desc": "管理事件的读写属性。1：只读，2：只写，3：全部。"
},
{
"name": "CmqQueueName",
"desc": "队列名称。队列名称是一个不超过64个字符的字符串，必须以字母为首字符，剩余部分可以包含字母、数字和横划线(-)。如果IsEnableCmqNotify值是1的话，此值属于必填字段。如果不是新创建的队列，云审计不会去校验该队列是否真的存在，请谨慎填写，避免日志通知不成功，导致您的数据丢失。"
},
{
"name": "CmqRegion",
"desc": "队列所在的地域。可以通过ListCmqEnableRegion获取支持的cmq地域。如果IsEnableCmqNotify值是1的话，此值属于必填字段。"
},
{
"name": "IsCreateNewQueue",
"desc": "是否创建新的队列。1：是，0：否。如果IsEnableCmqNotify值是1的话，此值属于必填字段。"
},
{
"name": "IsEnableKmsEncry",
"desc": "是否开启kms加密。1：是，0：否。如果开启KMS加密，数据在投递到cos时，会将数据加密。"
},
{
"name": "KeyId",
"desc": "CMK的全局唯一标识符，如果不是新创建的kms，该值是必填值。可以通过ListKeyAliasByRegion来获取。云审计不会校验KeyId的合法性，请您谨慎填写，避免给您的数据造成损失。"
},
{
"name": "KmsRegion",
"desc": "kms地域。目前支持的地域可以使用ListKmsEnableRegion来获取。必须要和cos的地域保持一致。"
},
{
"name": "LogFilePrefix",
"desc": "日志文件前缀。3-40个字符，只能包含 ASCII 编码字母 a-z，A-Z，数字 0-9。可以不填，默认以账号ID作为日志前缀。"
}
],
"desc": "参数要求：\n1、如果IsCreateNewBucket的值存在的话，cosRegion和cosBucketName都是必填参数。\n2、如果IsEnableCmqNotify的值是1的话，IsCreateNewQueue、CmqRegion和CmqQueueName都是必填参数。\n3、如果IsEnableCmqNotify的值是0的话，IsCreateNewQueue、CmqRegion和CmqQueueName都不能传。\n4、如果IsEnableKmsEncry的值是1的话，KmsRegion和KeyId属于必填项"
},
"ListCosEnableRegion": {
"params": [
{
"name": "WebsiteType",
"desc": "站点类型。zh表示中国区，en表示国际区。默认中国区。"
}
],
"desc": "查询云审计支持的cos可用区"
},
"LookUpEvents": {
"params": [
{
"name": "EndTime",
"desc": "结束时间"
},
{
"name": "StartTime",
"desc": "开始时间"
},
{
"name": "LookupAttributes",
"desc": "检索条件"
},
{
"name": "MaxResults",
"desc": "返回日志的最大条数"
},
{
"name": "Mode",
"desc": "云审计模式，有效值：standard | quick，其中standard是标准模式，quick是极速模式。默认为标准模式"
},
{
"name": "NextToken",
"desc": "查看更多日志的凭证"
}
],
"desc": "用于对操作日志进行检索，便于用户进行查询相关的操作信息。"
},
"ListAudits": {
"params": [],
"desc": "查询跟踪集概要"
}
}
| 27.481651
| 278
| 0.557503
| 433
| 5,991
| 7.711316
| 0.360277
| 0.029949
| 0.007188
| 0.009584
| 0.817311
| 0.800539
| 0.762204
| 0.762204
| 0.762204
| 0.731057
| 0
| 0.018591
| 0.272742
| 5,991
| 218
| 279
| 27.481651
| 0.747762
| 0.003505
| 0
| 0.396313
| 0
| 0.041475
| 0.603786
| 0.379963
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
69e8ed601b7ceea2f6946e252e9de95ef7dc796e
| 142
|
py
|
Python
|
user/models.py
|
phacic/photos_album
|
1b67798284988322b10bcc29acfba6784d068aca
|
[
"Apache-2.0"
] | null | null | null |
user/models.py
|
phacic/photos_album
|
1b67798284988322b10bcc29acfba6784d068aca
|
[
"Apache-2.0"
] | null | null | null |
user/models.py
|
phacic/photos_album
|
1b67798284988322b10bcc29acfba6784d068aca
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib.auth.models import AbstractUser
from django.contrib.auth.models import User
User._meta.get_field('email')._unique = True
| 28.4
| 51
| 0.816901
| 21
| 142
| 5.380952
| 0.666667
| 0.176991
| 0.300885
| 0.371681
| 0.584071
| 0.584071
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084507
| 142
| 4
| 52
| 35.5
| 0.869231
| 0
| 0
| 0
| 0
| 0
| 0.035211
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
0e0c2fea5b43c34bef56926c900ca2cb9be19c38
| 995
|
py
|
Python
|
configurations_.py
|
tingtun/postgres-search-replace
|
a1a3e6ffe15c66545fcfe296742447aaeef4581d
|
[
"Unlicense"
] | null | null | null |
configurations_.py
|
tingtun/postgres-search-replace
|
a1a3e6ffe15c66545fcfe296742447aaeef4581d
|
[
"Unlicense"
] | null | null | null |
configurations_.py
|
tingtun/postgres-search-replace
|
a1a3e6ffe15c66545fcfe296742447aaeef4581d
|
[
"Unlicense"
] | null | null | null |
#!/usr/bin/python
configurations = {
'0': [
{
'host': 'localhost',
'port': 5432,
'user': '',
'password': '',
'database': '',
'columns': [
('schema0', [
('table0', [
'column0',
'column1']),
('table1', [
'column0',
'column1']),
]),
],
},
# {
# 'host': 'localhost',
# 'port': 5432,
# 'user': '',
# 'password': '',
# 'database': '',
# 'columns': [
# ('schema0', [
# ('table0', [
# 'column0',
# 'column1']),
# ('table1', [
# 'column0',
# 'column1']),
# ]),
# ],
# },
],
}
| 24.875
| 37
| 0.21809
| 35
| 995
| 6.2
| 0.514286
| 0.258065
| 0.156682
| 0.193548
| 0.875576
| 0.875576
| 0.875576
| 0.875576
| 0.875576
| 0.875576
| 0
| 0.058974
| 0.60804
| 995
| 39
| 38
| 25.512821
| 0.497436
| 0.461307
| 0
| 0.285714
| 0
| 0
| 0.177606
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.047619
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
388454485a273c15c9f30b23cb2dcb581e2dd2ab
| 18,274
|
py
|
Python
|
code/nlp_data_writer.py
|
ssaini14/cdc
|
b99a9fdca2733027f847876b3f47eafdfd8b28ec
|
[
"Apache-2.0"
] | null | null | null |
code/nlp_data_writer.py
|
ssaini14/cdc
|
b99a9fdca2733027f847876b3f47eafdfd8b28ec
|
[
"Apache-2.0"
] | null | null | null |
code/nlp_data_writer.py
|
ssaini14/cdc
|
b99a9fdca2733027f847876b3f47eafdfd8b28ec
|
[
"Apache-2.0"
] | null | null | null |
from bs4 import BeautifulSoup
from datetime import datetime
diff = '''
<table class="diff" id="difflib_chg_to49__top"
cellspacing="0" cellpadding="0" rules="groups">
<colgroup></colgroup>
<colgroup></colgroup>
<colgroup></colgroup>
<colgroup></colgroup>
<colgroup></colgroup>
<colgroup></colgroup>
<thead>
<tr>
<th class="diff_next"><br/></th>
<th colspan="2" class="diff_header"><h2><a
href="http://www.cobbanddouglaspublichealth.com/services/epidemiology-infectious-disease/novelcoronavirus/">Coronavirus
Disease 2019 (COVID-19) - Cobb & Douglas Public Health</a></h2></th>
<th class="diff_next"><br/></th>
<th colspan="2" class="diff_header"></th>
</tr>
<tr>
<th></th>
<th colspan="2">Previous Article</th>
<th></th>
<th colspan="2">Current Article</th>
</tr>
</thead>
<tbody>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_463">463</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_463">463</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_464">464</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_464">464</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_465">465</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_465">465</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next" id="difflib_chg_to49__0"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> If you are sick, stay home t</td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> If you are sick, stay home t</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap">o reduce the spread of #COVID19 unless you need medical care. Protect yourself a</td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap">o reduce the spread of #COVID19 unless you need medical care. Protect yourself a</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap">nd othe twitter.com/i/web/status/1 </td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap">nd othe twitter.com/i/web/status/1 </td>
</tr>
<tr>
<td class="diff_next"><a href="#difflib_chg_to49__1">n</a></td>
<td class="diff_header" id="from49_466">466</td>
<td nowrap="nowrap"><span class="diff_chg">7</span> hours ago</td>
<td class="diff_next"><a href="#difflib_chg_to49__1">n</a></td>
<td class="diff_header" id="to49_466">466</td>
<td nowrap="nowrap"><span class="diff_chg">10</span> hours ago</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_467">467</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_467">467</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_468">468</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_468">468</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_469">469</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_469">469</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_470">470</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_470">470</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next" id="difflib_chg_to49__1"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> Is your grocery store out of</td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> Is your grocery store out of</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> your WIC infant formula? Please contact your local WIC clinic and ask for help.</td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> your WIC infant formula? Please contact your local WIC clinic and ask for help.</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> Please twitter.com/i/web/status/1 </td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> Please twitter.com/i/web/status/1 </td>
</tr>
<tr>
<td class="diff_next"><a href="#difflib_chg_to49__2">n</a></td>
<td class="diff_header" id="from49_471">471</td>
<td nowrap="nowrap">1<span class="diff_chg">0</span> hours ago</td>
<td class="diff_next"><a href="#difflib_chg_to49__2">n</a></td>
<td class="diff_header" id="to49_471">471</td>
<td nowrap="nowrap">1<span class="diff_chg">3</span> hours ago</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_472">472</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_472">472</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_473">473</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_473">473</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_474">474</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_474">474</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_475">475</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_475">475</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next" id="difflib_chg_to49__2"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> To ensure the health and saf</td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap"> To ensure the health and saf</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap">ety of our community, we have limited some of our services at all CDPH locations</td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap">ety of our community, we have limited some of our services at all CDPH locations</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap">. twitter.com/i/web/status/1 </td>
<td class="diff_next"></td>
<td class="diff_header">></td>
<td nowrap="nowrap">. twitter.com/i/web/status/1 </td>
</tr>
<tr>
<td class="diff_next"><a href="#difflib_chg_to49__top">t</a></td>
<td class="diff_header" id="from49_476">476</td>
<td nowrap="nowrap">1<span class="diff_chg">1</span> hours ago</td>
<td class="diff_next"><a href="#difflib_chg_to49__top">t</a></td>
<td class="diff_header" id="to49_476">476</td>
<td nowrap="nowrap">1<span class="diff_chg">4</span> hours ago</td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_477">477</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_477">477</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_478">478</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_478">478</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from49_479">479</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to49_479">479</td>
<td nowrap="nowrap"></td>
</tr>
</tbody>
</table>
'''
diff1 = '''
<table class="diff" id="difflib_chg_to281__top"
cellspacing="0" cellpadding="0" rules="groups">
<colgroup></colgroup>
<colgroup></colgroup>
<colgroup></colgroup>
<colgroup></colgroup>
<colgroup></colgroup>
<colgroup></colgroup>
<thead>
<tr>
<th class="diff_next"><br/></th>
<th colspan="2" class="diff_header"><h2><a href="https://city.milwaukee.gov/Coronavirus#.XnCMeaq6aMo">Novel
Coronavirus</a></h2></th>
<th class="diff_next"><br/></th>
<th colspan="2" class="diff_header"></th>
</tr>
<tr>
<th></th>
<th colspan="2">Previous Article</th>
<th></th>
<th colspan="2">Current Article</th>
</tr>
</thead>
<tbody>
<tr>
<td class="diff_next" id="difflib_chg_to281__0"><a href="#difflib_chg_to281__top">t</a></td>
<td class="diff_header" id="from281_1">1</td>
<td nowrap="nowrap"><span class="diff_sub"> </span></td>
<td class="diff_next"><a href="#difflib_chg_to281__top">t</a></td>
<td class="diff_header"></td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from281_2">2</td>
<td nowrap="nowrap"><span class="diff_sub"> </span></td>
<td class="diff_next"></td>
<td class="diff_header"></td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from281_3">3</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to281_1">1</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from281_4">4</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to281_2">2</td>
<td nowrap="nowrap"></td>
</tr>
<tr>
<td class="diff_next"></td>
<td class="diff_header" id="from281_5">5</td>
<td nowrap="nowrap"></td>
<td class="diff_next"></td>
<td class="diff_header" id="to281_3">3</td>
<td nowrap="nowrap"></td>
</tr>
</tbody>
</table>
'''
# file_path = 'data/response.json'
def remove_empty(json_array):
for json_object in json_array:
count = 0
previous_changes = json_object["previousChanges"]
for change in previous_changes:
if len(change["Content"]) == 0:
count = count + 1
current_changes = json_object["currentChanges"]
for change in current_changes:
if len(change["Content"]) == 0:
count = count + 1
if count == 6:
json_array.remove(json_object)
return json_array
def get_diff_json_util(rows, url):
previous_context = ''
current_context = ''
previous_context_flag = True
previous_changes = [{"type": "ADD", "Content": "", "Offset": ""}, {"type": "CHANGE", "Content": "", "Offset": ""},
{"type": "DELETE", "Content": "", "Offset": ""}]
current_changes = [{"type": "ADD", "Content": "", "Offset": ""}, {"type": "CHANGE", "Content": "", "Offset": ""},
{"type": "DELETE", "Content": "", "Offset": ""}]
previous_changes_flag = True
for tr in rows:
# for tr in soup.find_all('tr'):
# log(type(tr))
# tr = BeautifulSoup(tr, "html.parser")
for td in tr.find_all('td', nowrap='nowrap'):
# log(td)
if td.find('span'):
if previous_changes_flag:
if td.find('span')['class'][0] == 'diff_chg':
previous_changes[1]["Content"] = td.find('span').text.strip()
previous_changes[1]["Offset"] = len(previous_context) + td.text.strip().find(td.find('span').text.strip())
elif td.find('span')['class'][0] == 'diff_add':
previous_changes[0]["Content"] = td.find('span').text.strip()
previous_changes[0]["Offset"] = len(previous_context) + td.text.strip().find(td.find('span').text.strip())
elif td.find('span')['class'][0] == 'diff_sub':
previous_changes[2]["Content"] = td.find('span').text.strip()
previous_changes[2]["Offset"] = len(previous_context) + td.text.strip().find(td.find('span').text.strip())
else:
if td.find('span')['class'][0] == 'diff_chg':
current_changes[1]["Content"] = td.find('span').text.strip()
current_changes[1]["Offset"] = len(current_context) + td.text.strip().find(td.find('span').text.strip())
elif td.find('span')['class'][0] == 'diff_add':
current_changes[0]["Content"] = td.find('span').text.strip()
current_changes[0]["Offset"] = len(current_context) + td.text.strip().find(td.find('span').text.strip())
elif td.find('span')['class'][0] == 'diff_sub':
current_changes[2]["Content"] = td.find('span').text.strip()
current_changes[2]["Offset"] = len(current_context) + td.text.strip().find(td.find('span').text.strip())
previous_changes_flag = not previous_changes_flag
if previous_context_flag:
previous_context = previous_context + td.text.strip()
else:
current_context = current_context + td.text.strip()
previous_context_flag = not previous_context_flag
response = {"url": url,
"createdatetime": datetime.now(),
"previousContext": previous_context.replace('\xa0', ' '),
"currentContext": current_context.replace('\xa0', ' '),
"previousChanges": previous_changes,
"currentChanges": current_changes}
return response
def get_diff_json(diff, url):
soup = BeautifulSoup(diff, "html.parser")
soup = soup.find('tbody')
table_row_change = []
res = []
for tr in soup.find_all('tr'):
table_row_change.append(tr)
if tr.find('td').find('a'):
res.append(get_diff_json_util(table_row_change, url))
table_row_change.clear()
# log(json.dumps(res))
res = remove_empty(res)
# if len(res) > 0:
# with open(file_path, "a") as outfile:
# outfile.write(json.dumps(res))
return res
get_diff_json(diff, 'njfnsa')
| 45.457711
| 403
| 0.569662
| 2,554
| 18,274
| 3.947925
| 0.080266
| 0.242785
| 0.357037
| 0.466528
| 0.858276
| 0.853218
| 0.847268
| 0.82406
| 0.782109
| 0.772588
| 0
| 0.029576
| 0.213637
| 18,274
| 402
| 404
| 45.457711
| 0.672095
| 0.013243
| 0
| 0.6781
| 0
| 0.07124
| 0.797148
| 0.477113
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007916
| false
| 0
| 0.005277
| 0
| 0.021108
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
c7f8281728a5b3e540002b70c05846d3e73d8445
| 476
|
py
|
Python
|
test/test_add_group.py
|
verdyanna/new_troika
|
c194c4195dd7b67bed6901ded135d3f55726e7a3
|
[
"Apache-2.0"
] | null | null | null |
test/test_add_group.py
|
verdyanna/new_troika
|
c194c4195dd7b67bed6901ded135d3f55726e7a3
|
[
"Apache-2.0"
] | null | null | null |
test/test_add_group.py
|
verdyanna/new_troika
|
c194c4195dd7b67bed6901ded135d3f55726e7a3
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
from model.platform_model import Platform
def test_add_group(app):
app.session.login(username="admin", password="secret")
app.group_helper.create_new_group(Platform(name="hhhh", header="rrrrr", footer="tttt"))
app.session.logout()
def test_add_empty_group(app):
app.session.login(username="admin", password="secret")
app.group_helper.create_new_group(Platform(name="hhhh", header="rrrrr", footer="tttt"))
app.session.logout()
| 36.615385
| 91
| 0.72479
| 66
| 476
| 5.045455
| 0.439394
| 0.12012
| 0.06006
| 0.108108
| 0.786787
| 0.786787
| 0.786787
| 0.786787
| 0.786787
| 0.786787
| 0
| 0.002353
| 0.107143
| 476
| 12
| 92
| 39.666667
| 0.781176
| 0.044118
| 0
| 0.666667
| 0
| 0
| 0.10596
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0.222222
| 0.111111
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
2a41ab9ccb6efb4c8a6326eafcbc18fe2707b615
| 3,819
|
py
|
Python
|
tests/test_signed_xpi.py
|
AutomatedTester/amo-validator
|
a063002497395ce04085a3940713b4467f12e9fd
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_signed_xpi.py
|
AutomatedTester/amo-validator
|
a063002497395ce04085a3940713b4467f12e9fd
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_signed_xpi.py
|
AutomatedTester/amo-validator
|
a063002497395ce04085a3940713b4467f12e9fd
|
[
"BSD-3-Clause"
] | null | null | null |
from helper import MockXPI
import validator.testcases.content as content
from validator.errorbundler import ErrorBundle
def test_unsigned_xpi():
"""Test that unsigned packages don't raise warning"""
x = MockXPI()
err = ErrorBundle()
err.supported_versions = {}
content.test_signed_xpi(err, x)
assert not err.failed()
def test_mozilla_signed_xpi():
"""Test that signed packages raise warning"""
x = MockXPI({
'META-INF/manifest.mf': 'tests/resources/main/foo.bar',
'META-INF/mozilla.rsa': 'tests/resources/main/foo.bar',
'META-INF/mozilla.sf': 'tests/resources/main/foo.bar',
})
err = ErrorBundle()
err.supported_versions = {}
content.test_signed_xpi(err, x)
assert err.failed()
assert err.warnings
assert not err.errors
assert err.warnings[0]['id'] == ('testcases_content', 'signed_xpi')
def test_other_signed_xpi():
"""Test that signed packages raise warning"""
x = MockXPI({
'META-INF/manifest.mf': 'tests/resources/main/foo.bar',
'META-INF/zigbert.rsa': 'tests/resources/main/foo.bar',
'META-INF/zigbert.sf': 'tests/resources/main/foo.bar',
})
err = ErrorBundle()
err.supported_versions = {}
content.test_signed_xpi(err, x)
assert err.failed()
assert err.warnings
assert not err.errors
assert err.warnings[0]['id'] == ('testcases_content', 'signed_xpi')
def test_mozilla_signed_multi_xpi():
"""Test that mozilla signed inner packages don't raise an error."""
xpi = MockXPI({
'META-INF/manifest.mf': 'tests/resources/main/foo.bar',
'META-INF/mozilla.rsa': 'tests/resources/main/foo.bar',
'META-INF/mozilla.sf': 'tests/resources/main/foo.bar',
}, subpackage=True)
err = ErrorBundle()
err.supported_versions = {}
err.push_state('sub.xpi')
err.save_resource('is_multipackage', True)
content.test_signed_xpi(err, xpi)
assert not err.failed()
def test_unsigned_multi_xpi():
"""Test that unsigned inner packages raise an error."""
xpi = MockXPI(subpackage=True)
err = ErrorBundle()
err.supported_versions = {}
err.push_state('sub.xpi')
err.save_resource('is_multipackage', True)
content.test_signed_xpi(err, xpi)
assert err.failed()
assert not err.warnings
assert err.errors
assert err.errors[0]['id'] == ('testcases_content', 'unsigned_sub_xpi')
def test_other_signed_multi_xpi():
"""Test that other signed inner packages raise an error."""
xpi = MockXPI({
'META-INF/manifest.mf': 'tests/resources/main/foo.bar',
'META-INF/zigbert.rsa': 'tests/resources/main/foo.bar',
'META-INF/zigbert.sf': 'tests/resources/main/foo.bar',
}, subpackage=True)
err = ErrorBundle()
err.supported_versions = {}
err.push_state('sub.xpi')
err.save_resource('is_multipackage', True)
content.test_signed_xpi(err, xpi)
assert err.failed()
assert not err.warnings
assert err.errors
assert err.errors[0]['id'] == ('testcases_content', 'unsigned_sub_xpi')
def test_unsigned_inner_xpi():
"""Test that inner XPIs need to be signed even if not multi-package."""
xpi = MockXPI(subpackage=True)
err = ErrorBundle()
err.supported_versions = {}
err.push_state('inner.xpi')
err.save_resource('is_multipackage', False)
content.test_signed_xpi(err, xpi)
assert err.failed()
def test_unsigned_inner_jar():
"""Test that inner packages don't need to be signed if not multipackage."""
xpi = MockXPI(subpackage=True)
xpi.filename = 'mock_jar.jar'
err = ErrorBundle()
err.supported_versions = {}
err.push_state('inner.jar')
err.save_resource('is_multipackage', False)
content.test_signed_xpi(err, xpi)
assert not err.failed()
| 26.894366
| 79
| 0.670071
| 505
| 3,819
| 4.918812
| 0.138614
| 0.047101
| 0.086957
| 0.101449
| 0.826892
| 0.795894
| 0.784219
| 0.768921
| 0.768921
| 0.742754
| 0
| 0.001296
| 0.191673
| 3,819
| 141
| 80
| 27.085106
| 0.803369
| 0.112333
| 0
| 0.833333
| 0
| 0
| 0.246641
| 0.100328
| 0
| 0
| 0
| 0
| 0.222222
| 1
| 0.088889
| false
| 0
| 0.033333
| 0
| 0.122222
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2a569f54273aa717e61b1b02a53fde86df789e83
| 15,152
|
py
|
Python
|
qa327_test/frontend/test_update.py
|
emilygibbons/CISC-CMPE-327
|
bb28b2bac099286df4a42e3baf380032dfcb85d5
|
[
"MIT"
] | null | null | null |
qa327_test/frontend/test_update.py
|
emilygibbons/CISC-CMPE-327
|
bb28b2bac099286df4a42e3baf380032dfcb85d5
|
[
"MIT"
] | null | null | null |
qa327_test/frontend/test_update.py
|
emilygibbons/CISC-CMPE-327
|
bb28b2bac099286df4a42e3baf380032dfcb85d5
|
[
"MIT"
] | null | null | null |
import pytest
from seleniumbase import BaseCase
from qa327_test.conftest import base_url
from unittest.mock import patch
from qa327.models import db, User
from werkzeug.security import generate_password_hash, check_password_hash
"""
This file defines all unit tests for the frontend update section.
The tests will only test the frontend portion of the program, by patching the backend to return
specfic values. For example:
@patch('qa327.backend.get_user', return_value=test_user)
Will patch the backend get_user function (within the scope of the current test case)
so that it return 'test_user' instance below rather than reading
the user from the database.
Annotate @patch before unit tests can mock backend methods (for that testing function)
"""
# Mock a sample user
test_user = User(
email='test_frontend@test.com',
name='test_frontend',
password=generate_password_hash('Testfrontend123!'),
balance=5000
)
# Mock some sample tickets
test_tickets = [
{'name': 'ticket1test', 'price': 100, 'email': 'test_frontend@test.com', 'date': '20200901'}
]
class FrontEndUpdateTesting(BaseCase):
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
def login(self, *_):
self.open(base_url + '/login')
self.type("#email", "test_frontend@test.com")
self.type("#password", "Testfrontend123!")
self.click('input[type="submit"]')
# open home page
self.open(base_url)
# Test Case R5.1 - The name of the ticket has to be alphanumeric-only, and space allowed only if it is not the first or the last character.
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
def test_ticketname(self,*_):
# login as test user
self.login()
# NEGATIVE: IF IT HAS A SYMBOL
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket with symbol in name
self.type("#quantity-new","1")
self.type("#name-new","ticket1!")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated name has to alphanumeric, have no spaces in the begining or end and be between 6 and 60 characters.", "#updateMessage")
# NEGATIVE: IF IT STARTS WITH A SPACE
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket starting with a space in name
self.type("#quantity-new","1")
self.type("#name-new"," ticket1")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated name has to alphanumeric, have no spaces in the begining or end and be between 6 and 60 characters.", "#updateMessage")
# NEGATIVE: IF IT ENDS WITH A SPACE
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket ending with a space in name
self.type("#quantity-new","1")
self.type("#name-new","ticket1 ")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated name has to alphanumeric, have no spaces in the begining or end and be between 6 and 60 characters.", "#updateMessage")
# Test Case R5.2 - The name of the ticket is no longer than 60 characters and greater than 6 characters.
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
def test_ticketnamelength(self, *_):
# login as test user
self.login()
# Positive case is already covered under the positive case of R5.1
# NEGATIVE: MORE THAN 60 CHARACTERS
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket ending with more than 60 characters
self.type("#quantity-new","1")
self.type("#name-new","qqqwwweeerrrtttyyyuuuiiiooopppaaasssdddfffggghhhjjjkkkllzzzxxxx")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated name has to alphanumeric, have no spaces in the begining or end and be between 6 and 60 characters.", "#updateMessage")
# NEGATIVE: LESS THAN 6 CHARACTERS
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket with less than 6 characters
self.type("#quantity-new","1")
self.type("#name-new","t2")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated name has to alphanumeric, have no spaces in the begining or end and be between 6 and 60 characters.", "#updateMessage")
# Test Case R5.3 - The quantity of the tickets has to be more than 0, and less than or equal to 100.
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
# QUANTITY OF ZERO
def test_ticketquantity(self, *_):
# login as test user
self.login()
# Positive case is already covered under the positive case of R5.1
# NEGATIVE: ZERO QUANTITY
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket with zero quantity
self.type("#quantity-new","0")
self.type("#name-new","ticket1")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated quantity of tickets needs to be between 1 and 100.", "#updateMessage")
# NEGATIVE: QUANTITY GREATER THAN 100
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket with quantity greater than 100
self.type("#quantity-new","101")
self.type("#name-new","ticket1")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated quantity of tickets needs to be between 1 and 100.", "#updateMessage")
# Test Case R5.4 - Price has to be of range [10, 100]
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
def test_ticketprice(self, *_):
# login as test user
self.login()
# Positive case is already covered under the positive case of R5.1
# NEGATIVE: PRICE LESS THAN 10
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket with price of 0
self.type("#quantity-new","1")
self.type("#name-new","ticket1")
self.type("#price-new","0")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated price needs to be between $10 and $100.", "#updateMessage")
# NEGATIVE: PRICE MORE THAN 100
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket with price greater than 100
self.type("#quantity-new","1")
self.type("#name-new","ticket1")
self.type("#price-new","101")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated price needs to be between $10 and $100.", "#updateMessage")
# Test Case R5.5 - Date must be given in the format YYYYMMDD (e.g. 20200901)
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
def test_ticketdateformat(self, *_):
# login as test user
self.login()
# Positive case is already covered under the positive case of R5.1
#NEGATIVE:
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket with incorrect date format
self.type("#quantity-new","1")
self.type("#name-new","ticket1")
self.type("#price-new","100")
self.type("#expiration-date-new","2021-09-01")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The updated exipiration date needs to be follow the 'YYYYMMDD' format.", "#updateMessage")
# Test Case R5.6 - Ticket of given name must exist
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
def test_ticketnameexists(self, *_):
# login as test user
self.login()
# Positive case is already covered under the positive case of R5.1
#NEGATIVE:
# fill in old existing ticket information with non-existent name
self.type("#quantity-old","1")
self.type("#name-old","namedoesnotexist")
self.type("#price-old","100")
self.type("#expiration-date-old","20210901")
# update ticket quantity
self.type("#quantity-new","10")
self.type("#name-new","namedoesnotexist")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper error message
self.assert_element("#updateMessage")
self.assert_text("The entered ticket either does not exist or was entered incorrectly, please try again.", "#updateMessage")
# Test Case R5.7 POSITIVE- For any errors, redirect back to / and show an error message
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
def test_ticketerror(self, *_):
# login as test user
self.login()
# fill in old existing ticket information with non-existent name, so that an error is created
self.type("#quantity-old","1")
self.type("#name-old","namedoesnotexist")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket with incorrect date format, to create more errors
self.type("#quantity-new","1")
self.type("#name-new","ticket1")
self.type("#price-new","100")
self.type("#expiration-date-new","2021-09-01")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure an error message occurs
self.assert_element("#updateMessage")
self.assert_text("Error:", "#updateMessage")
# ensure it redirects to home page (/)
self.assert_element("#welcome-header")
self.assert_text("Welcome test_frontend", "#welcome-header")
# Test Case R5.7 NEGATIVE- For any errors, redirect back to / and show an error message
@patch('qa327.backend.get_user', return_value=test_user)
@patch('qa327.backend.get_all_tickets', return_value=test_tickets)
@patch('qa327.backend.verify_ticket',return_value=True)
@patch('qa327.backend.delete_ticket', return_value=True)
@patch('qa327.backend.sell_ticket', return_value = True)
def test_ticketsuccess(self, *_):
# login as test user
self.login()
# NEGATIVE CASE: no errors so post update successfully
# fill in old existing ticket information
self.type("#quantity-old","1")
self.type("#name-old","ticket1test")
self.type("#price-old","100")
self.type("#expiration-date-old","20200901")
# update ticket
self.type("#quantity-new","1")
self.type("#name-new","newticket")
self.type("#price-new","100")
self.type("#expiration-date-new","20210901")
# click update button
self.click('input[id="btn-update-submit"]')
# make sure it gives proper success message
self.assert_element("#updateMessage")
self.assert_text("Listing update successful", "#updateMessage")
| 44.696165
| 157
| 0.643677
| 1,973
| 15,152
| 4.874303
| 0.11556
| 0.088177
| 0.043257
| 0.059478
| 0.781325
| 0.76448
| 0.7624
| 0.742123
| 0.729333
| 0.721223
| 0
| 0.044948
| 0.224723
| 15,152
| 339
| 158
| 44.696165
| 0.773729
| 0.231587
| 0
| 0.754902
| 1
| 0.02451
| 0.404842
| 0.09466
| 0
| 0
| 0
| 0
| 0.137255
| 1
| 0.044118
| false
| 0.014706
| 0.029412
| 0
| 0.078431
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
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| null | 0
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|
0
| 7
|
aa8da6c7ccf533fabce6f28a413935b726851693
| 17,278
|
py
|
Python
|
scripts/MyModel.py
|
zjujdj/SuperAtomicCharge
|
2d2b0429bc9fe63fb3e43d3bab81a76439ffeb10
|
[
"Apache-2.0"
] | 2
|
2022-01-03T10:19:59.000Z
|
2022-03-14T15:15:20.000Z
|
scripts/MyModel.py
|
zjujdj/SuperAtomicCharge
|
2d2b0429bc9fe63fb3e43d3bab81a76439ffeb10
|
[
"Apache-2.0"
] | null | null | null |
scripts/MyModel.py
|
zjujdj/SuperAtomicCharge
|
2d2b0429bc9fe63fb3e43d3bab81a76439ffeb10
|
[
"Apache-2.0"
] | null | null | null |
"""
some codes in this script was based on
https:https://github.com/awslabs/dgl-lifesci
"""
import torch.nn as nn
from dgllife.model.gnn import GAT
import dgl.function as fn
import torch
import torch.nn as nn
import torch.nn.functional as F
from dgl.nn.pytorch import edge_softmax
class AttentiveGRU1(nn.Module):
def __init__(self, node_feat_size, edge_feat_size, edge_hidden_size, dropout):
super(AttentiveGRU1, self).__init__()
self.edge_transform = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(edge_feat_size, edge_hidden_size)
)
self.gru = nn.GRUCell(edge_hidden_size, node_feat_size)
def forward(self, g, edge_logits, edge_feats, node_feats):
g = g.local_var()
g.edata['e'] = edge_softmax(g, edge_logits) * self.edge_transform(edge_feats)
g.update_all(fn.copy_edge('e', 'm'), fn.sum('m', 'c'))
context = F.elu(g.ndata['c'])
return F.relu(self.gru(context, node_feats))
class AttentiveGRU2(nn.Module):
def __init__(self, node_feat_size, edge_hidden_size, dropout):
super(AttentiveGRU2, self).__init__()
self.project_node = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(node_feat_size, edge_hidden_size)
)
self.gru = nn.GRUCell(edge_hidden_size, node_feat_size)
def forward(self, g, edge_logits, node_feats):
g = g.local_var()
g.edata['a'] = edge_softmax(g, edge_logits)
g.ndata['hv'] = self.project_node(node_feats)
g.update_all(fn.src_mul_edge('hv', 'a', 'm'), fn.sum('m', 'c'))
context = F.elu(g.ndata['c'])
return F.relu(self.gru(context, node_feats))
class GetContext(nn.Module):
def __init__(self, node_feat_size, edge_feat_size, graph_feat_size, dropout):
super(GetContext, self).__init__()
self.project_node = nn.Sequential(
nn.Linear(node_feat_size, graph_feat_size),
nn.LeakyReLU()
)
self.project_edge1 = nn.Sequential(
nn.Linear(node_feat_size + edge_feat_size, graph_feat_size),
nn.LeakyReLU()
)
self.project_edge2 = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(2 * graph_feat_size, 1),
nn.LeakyReLU()
)
self.attentive_gru = AttentiveGRU1(graph_feat_size, graph_feat_size,
graph_feat_size, dropout)
def apply_edges1(self, edges):
return {'he1': torch.cat([edges.src['hv'], edges.data['he']], dim=1)}
def apply_edges2(self, edges):
return {'he2': torch.cat([edges.dst['hv_new'], edges.data['he1']], dim=1)}
def forward(self, g, node_feats, edge_feats):
g = g.local_var()
g.ndata['hv'] = node_feats
g.ndata['hv_new'] = self.project_node(node_feats)
g.edata['he'] = edge_feats
g.apply_edges(self.apply_edges1)
g.edata['he1'] = self.project_edge1(g.edata['he1'])
g.apply_edges(self.apply_edges2)
logits = self.project_edge2(g.edata['he2'])
return self.attentive_gru(g, logits, g.edata['he1'], g.ndata['hv_new'])
class GNNLayer(nn.Module):
def __init__(self, node_feat_size, graph_feat_size, dropout):
super(GNNLayer, self).__init__()
self.project_edge = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(2 * node_feat_size, 1),
nn.LeakyReLU()
)
self.attentive_gru = AttentiveGRU2(node_feat_size, graph_feat_size, dropout)
self.bn_layer = nn.BatchNorm1d(graph_feat_size)
def apply_edges(self, edges):
return {'he': torch.cat([edges.dst['hv'], edges.src['hv']], dim=1)}
def forward(self, g, node_feats):
g = g.local_var()
g.ndata['hv'] = node_feats
g.apply_edges(self.apply_edges)
logits = self.project_edge(g.edata['he'])
return self.bn_layer(self.attentive_gru(g, logits, node_feats))
class ModifiedChargeModelNNV2(nn.Module):
def __init__(self,
node_feat_size,
edge_feat_size,
num_layers=2,
graph_feat_size=200,
dropout=0.):
super(ModifiedChargeModelNNV2, self).__init__()
self.init_context = GetContext(node_feat_size, edge_feat_size, graph_feat_size, dropout)
self.gnn_layers = nn.ModuleList()
self.sum_node_feats = 0
for _ in range(num_layers - 1):
self.gnn_layers.append(GNNLayer(graph_feat_size, graph_feat_size, dropout))
def forward(self, g, node_feats, edge_feats):
node_feats = self.init_context(g, node_feats, edge_feats)
self.sum_node_feats = node_feats
for gnn in self.gnn_layers:
node_feats = gnn(g, node_feats)
self.sum_node_feats = self.sum_node_feats + node_feats
return self.sum_node_feats
class ModifiedChargeModelV2(nn.Module):
def __init__(self,
node_feat_size,
edge_feat_size,
num_layers=2,
graph_feat_size=200,
dropout=0.):
super(ModifiedChargeModelV2, self).__init__()
self.gnn = ModifiedChargeModelNNV2(node_feat_size=node_feat_size,
edge_feat_size=edge_feat_size,
num_layers=num_layers,
graph_feat_size=graph_feat_size,
dropout=dropout)
self.predict = nn.Sequential(
nn.Linear(graph_feat_size, graph_feat_size),
nn.ReLU(),
nn.Dropout(dropout),
nn.Linear(graph_feat_size, 1)
)
def forward(self, g, node_feats, edge_feats):
sum_node_feats = self.gnn(g, node_feats, edge_feats)
return self.predict(sum_node_feats)
class ModifiedChargeModelV2New(nn.Module):
def __init__(self,
node_feat_size,
edge_feat_size,
num_layers=2,
graph_feat_size=200,
dropout=0., n_tasks=1):
super(ModifiedChargeModelV2New, self).__init__()
self.gnn = ModifiedChargeModelNNV2(node_feat_size=node_feat_size,
edge_feat_size=edge_feat_size,
num_layers=num_layers,
graph_feat_size=graph_feat_size,
dropout=dropout)
self.predict = nn.Sequential(
nn.Linear(graph_feat_size, graph_feat_size),
nn.ReLU(),
nn.Dropout(dropout),
nn.Linear(graph_feat_size, n_tasks)
)
def forward(self, g, node_feats, edge_feats):
sum_node_feats = self.gnn(g, node_feats, edge_feats)
return self.predict(sum_node_feats)
class ModifiedChargeModelNNV3(nn.Module):
def __init__(self,
node_feat_size,
edge_feat_size,
num_layers=2,
graph_feat_size=200,
dropout=0.):
super(ModifiedChargeModelNNV3, self).__init__()
self.init_context = GetContext(node_feat_size, edge_feat_size, graph_feat_size, dropout)
self.gnn_layers = nn.ModuleList()
for _ in range(num_layers - 1):
self.gnn_layers.append(GNNLayer(graph_feat_size, graph_feat_size, dropout))
self.predict = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(graph_feat_size, 1)
)
self.sum_predictions = 0
self.num_layers = num_layers
def forward(self, g, node_feats, edge_feats):
node_feats = self.init_context(g, node_feats, edge_feats)
for gnn in self.gnn_layers:
node_feats = gnn(g, node_feats)
self.sum_predictions = self.sum_predictions + self.predict(node_feats)
return self.sum_predictions / (self.num_layers - 1)
class ModifiedChargeModelV3(nn.Module):
def __init__(self,
node_feat_size,
edge_feat_size,
num_layers=2,
graph_feat_size=200,
dropout=0.):
super(ModifiedChargeModelV3, self).__init__()
self.gnn = ModifiedChargeModelNNV3(node_feat_size=node_feat_size,
edge_feat_size=edge_feat_size,
num_layers=num_layers,
graph_feat_size=graph_feat_size,
dropout=dropout)
def forward(self, g, node_feats, edge_feats):
predictions = self.gnn(g, node_feats, edge_feats)
return predictions
class ModifiedGATPredictor(nn.Module):
def __init__(self, in_feats, hidden_feats=None, num_heads=None, feat_drops=None,
attn_drops=None, alphas=None, residuals=None, agg_modes=None, activations=None):
super(ModifiedGATPredictor, self).__init__()
self.gnn = GAT(in_feats=in_feats,
hidden_feats=hidden_feats,
num_heads=num_heads,
feat_drops=feat_drops,
attn_drops=attn_drops,
alphas=alphas,
residuals=residuals,
agg_modes=agg_modes,
activations=activations)
if self.gnn.agg_modes[-1] == 'flatten':
gnn_out_feats = self.gnn.hidden_feats[-1] * self.gnn.num_heads[-1]
else:
gnn_out_feats = self.gnn.hidden_feats[-1]
self.predict = nn.Sequential(nn.Linear(gnn_out_feats, 1))
def forward(self, bg, feats):
node_feats = self.gnn(bg, feats)
return self.predict(node_feats)
# class ModifiedChargeModel(nn.Module):
# def __init__(self,
# node_feat_size,
# edge_feat_size,
# num_layers=2,
# graph_feat_size=200,
# dropout=0.):
# super(ModifiedChargeModel, self).__init__()
#
# self.gnn = AttentiveFPGNN(node_feat_size=node_feat_size,
# edge_feat_size=edge_feat_size,
# num_layers=num_layers,
# graph_feat_size=graph_feat_size,
# dropout=dropout)
# self.predict = nn.Sequential(
# nn.Dropout(dropout),
# nn.Linear(graph_feat_size, 1)
# )
#
# def forward(self, g, node_feats, edge_feats):
# node_feats = self.gnn(g, node_feats, edge_feats)
# return self.predict(node_feats)
# incorporate both the node and edge features using Multilayer Perception
class AttentiveMLP1(nn.Module):
def __init__(self, node_feat_size, edge_feat_size, edge_hidden_size, dropout):
super(AttentiveMLP1, self).__init__()
self.edge_transform = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(edge_feat_size, edge_hidden_size)
)
# self.gru = nn.GRUCell(edge_hidden_size, node_feat_size)
self.MPL = nn.Sequential(
nn.Linear(edge_hidden_size + node_feat_size, node_feat_size),
nn.Dropout(dropout),
nn.ReLU(),
nn.Linear(node_feat_size, node_feat_size),
nn.Dropout(dropout)
)
def forward(self, g, edge_logits, edge_feats, node_feats):
g = g.local_var()
g.edata['e'] = edge_softmax(g, edge_logits) * self.edge_transform(edge_feats)
g.update_all(fn.copy_edge('e', 'm'), fn.sum('m', 'c'))
context = F.elu(g.ndata['c'])
# return F.relu(self.gru(context, node_feats))
return F.relu(self.MPL(torch.cat([context, node_feats], dim=1)))
class AttentiveMLP2(nn.Module):
def __init__(self, node_feat_size, edge_hidden_size, dropout):
super(AttentiveMLP2, self).__init__()
self.project_node = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(node_feat_size, edge_hidden_size)
)
# self.gru = nn.GRUCell(edge_hidden_size, node_feat_size)
self.MPL = nn.Sequential(
nn.Linear(edge_hidden_size + node_feat_size, node_feat_size),
nn.Dropout(dropout),
nn.ReLU(),
nn.Linear(node_feat_size, node_feat_size),
nn.Dropout(dropout)
)
def forward(self, g, edge_logits, node_feats):
g = g.local_var()
g.edata['a'] = edge_softmax(g, edge_logits)
g.ndata['hv'] = self.project_node(node_feats)
g.update_all(fn.src_mul_edge('hv', 'a', 'm'), fn.sum('m', 'c'))
context = F.elu(g.ndata['c'])
# return F.relu(self.gru(context, node_feats))
return F.relu(self.MPL(torch.cat([context, node_feats], dim=1)))
class GetMLPContext(nn.Module):
def __init__(self, node_feat_size, edge_feat_size, graph_feat_size, dropout):
super(GetMLPContext, self).__init__()
self.project_node = nn.Sequential(
nn.Linear(node_feat_size, graph_feat_size),
nn.LeakyReLU()
)
self.project_edge1 = nn.Sequential(
nn.Linear(node_feat_size + edge_feat_size, graph_feat_size),
nn.LeakyReLU()
)
self.project_edge2 = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(2 * graph_feat_size, 1),
nn.LeakyReLU()
)
# self.attentive_gru = AttentiveGRU1(graph_feat_size, graph_feat_size,
# graph_feat_size, dropout)
self.attentive_mlp = AttentiveMLP1(graph_feat_size, graph_feat_size,
graph_feat_size, dropout)
def apply_edges1(self, edges):
return {'he1': torch.cat([edges.src['hv'], edges.data['he']], dim=1)}
def apply_edges2(self, edges):
return {'he2': torch.cat([edges.dst['hv_new'], edges.data['he1']], dim=1)}
def forward(self, g, node_feats, edge_feats):
g = g.local_var()
g.ndata['hv'] = node_feats
g.ndata['hv_new'] = self.project_node(node_feats)
g.edata['he'] = edge_feats
g.apply_edges(self.apply_edges1)
g.edata['he1'] = self.project_edge1(g.edata['he1'])
g.apply_edges(self.apply_edges2)
logits = self.project_edge2(g.edata['he2'])
return self.attentive_mlp(g, logits, g.edata['he1'], g.ndata['hv_new'])
class GNNMLPLayer(nn.Module):
def __init__(self, node_feat_size, graph_feat_size, dropout):
super(GNNMLPLayer, self).__init__()
self.project_edge = nn.Sequential(
nn.Dropout(dropout),
nn.Linear(2 * node_feat_size, 1),
nn.LeakyReLU()
)
# self.attentive_gru = AttentiveGRU2(node_feat_size, graph_feat_size, dropout)
self.attentive_mlp = AttentiveMLP2(node_feat_size, graph_feat_size, dropout)
self.bn_layer = nn.BatchNorm1d(graph_feat_size)
def apply_edges(self, edges):
return {'he': torch.cat([edges.dst['hv'], edges.src['hv']], dim=1)}
def forward(self, g, node_feats):
g = g.local_var()
g.ndata['hv'] = node_feats
g.apply_edges(self.apply_edges)
logits = self.project_edge(g.edata['he'])
# return self.bn_layer(self.attentive_gru(g, logits, node_feats))
return self.bn_layer(self.attentive_mlp(g, logits, node_feats))
class GNNMLP(nn.Module):
def __init__(self,
node_feat_size,
edge_feat_size,
num_layers=2,
graph_feat_size=200,
dropout=0.):
super(GNNMLP, self).__init__()
self.init_context = GetMLPContext(node_feat_size, edge_feat_size, graph_feat_size, dropout)
self.gnn_layers = nn.ModuleList()
self.sum_node_feats = 0
for _ in range(num_layers - 1):
self.gnn_layers.append(GNNMLPLayer(graph_feat_size, graph_feat_size, dropout))
def forward(self, g, node_feats, edge_feats):
node_feats = self.init_context(g, node_feats, edge_feats)
self.sum_node_feats = node_feats
for gnn in self.gnn_layers:
node_feats = gnn(g, node_feats)
self.sum_node_feats = self.sum_node_feats + node_feats
return self.sum_node_feats
class GNNMLPPredictor(nn.Module):
def __init__(self,
node_feat_size,
edge_feat_size,
num_layers=2,
graph_feat_size=200,
dropout=0.):
super(GNNMLPPredictor, self).__init__()
self.gnn = GNNMLP(node_feat_size=node_feat_size,
edge_feat_size=edge_feat_size,
num_layers=num_layers,
graph_feat_size=graph_feat_size,
dropout=dropout)
self.predict = nn.Sequential(
nn.Linear(graph_feat_size, graph_feat_size),
nn.Dropout(dropout),
nn.ReLU(),
nn.Linear(graph_feat_size, 1)
)
def forward(self, g, node_feats, edge_feats):
sum_node_feats = self.gnn(g, node_feats, edge_feats)
return self.predict(sum_node_feats)
| 37.398268
| 99
| 0.593356
| 2,143
| 17,278
| 4.440504
| 0.068129
| 0.120219
| 0.084699
| 0.05538
| 0.84773
| 0.831547
| 0.821354
| 0.821354
| 0.817991
| 0.802333
| 0
| 0.010915
| 0.300093
| 17,278
| 461
| 100
| 37.479393
| 0.775986
| 0.085774
| 0
| 0.726744
| 0
| 0
| 0.009709
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.110465
| false
| 0
| 0.020349
| 0.017442
| 0.241279
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2aa9d2e28cfe36535cb8747dc6f629c1b17b3fb5
| 43
|
py
|
Python
|
solution/Survivor.py
|
killdary/genetic_algorithm_route_calculation
|
f7d9c114d8780bad6124ee61214b7dce0557d312
|
[
"MIT"
] | null | null | null |
solution/Survivor.py
|
killdary/genetic_algorithm_route_calculation
|
f7d9c114d8780bad6124ee61214b7dce0557d312
|
[
"MIT"
] | null | null | null |
solution/Survivor.py
|
killdary/genetic_algorithm_route_calculation
|
f7d9c114d8780bad6124ee61214b7dce0557d312
|
[
"MIT"
] | null | null | null |
import numpy as np
class Fitness:
pass
| 10.75
| 18
| 0.72093
| 7
| 43
| 4.428571
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.255814
| 43
| 4
| 19
| 10.75
| 0.96875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
2ad739285e35bba1a67ede9f516300d30f26d754
| 64
|
py
|
Python
|
trial_package/sub1/utils_sub.py
|
mpariente/trial_package
|
251a2b5dd3c6768c488f7f0094c2a5ee3ee63f5c
|
[
"MIT"
] | null | null | null |
trial_package/sub1/utils_sub.py
|
mpariente/trial_package
|
251a2b5dd3c6768c488f7f0094c2a5ee3ee63f5c
|
[
"MIT"
] | null | null | null |
trial_package/sub1/utils_sub.py
|
mpariente/trial_package
|
251a2b5dd3c6768c488f7f0094c2a5ee3ee63f5c
|
[
"MIT"
] | null | null | null |
def u1(a, b):
return a + b
def u2(a, b):
return a * b
| 9.142857
| 16
| 0.46875
| 14
| 64
| 2.142857
| 0.428571
| 0.266667
| 0.533333
| 0.6
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05
| 0.375
| 64
| 6
| 17
| 10.666667
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
63194aa3f0fbf8f1dc71da58ae97fcec5f6441a3
| 11,410
|
py
|
Python
|
tests/tests_assemble_workflow/test_bundle_recorder.py
|
Rishikesh1159/opensearch-build
|
9f402afe9c945c9b715a69e94cbf0137bfbcd8b7
|
[
"Apache-2.0"
] | null | null | null |
tests/tests_assemble_workflow/test_bundle_recorder.py
|
Rishikesh1159/opensearch-build
|
9f402afe9c945c9b715a69e94cbf0137bfbcd8b7
|
[
"Apache-2.0"
] | null | null | null |
tests/tests_assemble_workflow/test_bundle_recorder.py
|
Rishikesh1159/opensearch-build
|
9f402afe9c945c9b715a69e94cbf0137bfbcd8b7
|
[
"Apache-2.0"
] | null | null | null |
# SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
import os
import tempfile
import unittest
import yaml
from assemble_workflow.bundle_recorder import BundleRecorder
from manifests.build_manifest import BuildManifest
from manifests.bundle_manifest import BundleManifest
class TestBundleRecorder(unittest.TestCase):
def setUp(self):
self.maxDiff = None
manifest_path = os.path.join(
os.path.dirname(__file__), "data/opensearch-build-1.1.0.yml"
)
manifest = BuildManifest.from_path(manifest_path)
self.bundle_recorder = BundleRecorder(
manifest.build, "output_dir", "artifacts_dir"
)
def test_record_component(self):
component = BuildManifest.Component(
{
"name": "job_scheduler",
"repository": "https://github.com/opensearch-project/job_scheduler",
"ref": "main",
"commit_id": "3913d7097934cbfe1fdcf919347f22a597d00b76",
"artifacts": [],
"version": "1.0",
}
)
self.bundle_recorder.record_component(component, "plugins")
self.assertEqual(
self.bundle_recorder.get_manifest().to_dict(),
{
"build": {
"architecture": "x64",
"id": "c3ff7a232d25403fa8cc14c97799c323",
"location": "output_dir/opensearch-1.1.0-linux-x64.tar.gz",
"name": "OpenSearch",
"version": "1.1.0",
},
"components": [
{
"commit_id": "3913d7097934cbfe1fdcf919347f22a597d00b76",
"location": "artifacts_dir/plugins",
"name": component.name,
"ref": "main",
"repository": "https://github.com/opensearch-project/job_scheduler",
}
],
"schema-version": "1.0",
},
)
def test_get_manifest(self):
manifest = self.bundle_recorder.get_manifest()
self.assertIs(type(manifest), BundleManifest)
self.assertEqual(
manifest.to_dict(),
{
"build": {
"architecture": "x64",
"id": "c3ff7a232d25403fa8cc14c97799c323",
"location": "output_dir/opensearch-1.1.0-linux-x64.tar.gz",
"name": "OpenSearch",
"version": "1.1.0",
},
"schema-version": "1.0",
},
)
def test_write_manifest(self):
with tempfile.TemporaryDirectory() as dest_dir:
self.bundle_recorder.write_manifest(dest_dir)
manifest_path = os.path.join(dest_dir, "manifest.yml")
self.assertTrue(os.path.isfile(manifest_path))
data = self.bundle_recorder.get_manifest().to_dict()
with open(manifest_path) as f:
self.assertEqual(yaml.safe_load(f), data)
def test_record_component_public(self):
self.bundle_recorder.public_url = 'https://ci.opensearch.org/ci/os-distro-prod'
component = BuildManifest.Component(
{
"name": "job_scheduler",
"repository": "https://github.com/opensearch-project/job_scheduler",
"ref": "main",
"commit_id": "3913d7097934cbfe1fdcf919347f22a597d00b76",
"artifacts": [],
"version": "1.0",
}
)
self.bundle_recorder.record_component(component, "plugins")
self.assertEqual(
self.bundle_recorder.get_manifest().to_dict(),
{
"build": {
"architecture": "x64",
"id": "c3ff7a232d25403fa8cc14c97799c323",
"location": "output_dir/opensearch-1.1.0-linux-x64.tar.gz",
"name": "OpenSearch",
"version": "1.1.0",
},
"components": [
{
"commit_id": "3913d7097934cbfe1fdcf919347f22a597d00b76",
"location": "https://ci.opensearch.org/ci/os-distro-prod/builds/1.1.0/c3ff7a232d25403fa8cc14c97799c323/x64/plugins",
"name": component.name,
"ref": "main",
"repository": "https://github.com/opensearch-project/job_scheduler",
}
],
"schema-version": "1.0",
},
)
def test_get_location_scenarios(self):
def get_location(public_url):
self.bundle_recorder.public_url = public_url
return self.bundle_recorder._BundleRecorder__get_location("builds", "dir1/dir2/file", "/tmp/builds/foo/dir1/dir2/file")
# No public URL - Fallback to ABS Path
self.assertEqual(get_location(None), "/tmp/builds/foo/dir1/dir2/file")
# Public URL - No trailing slash
self.assertEqual(
get_location('https://ci.opensearch.org/ci/os-distro-prod'),
"https://ci.opensearch.org/ci/os-distro-prod/builds/1.1.0/c3ff7a232d25403fa8cc14c97799c323/x64/dir1/dir2/file"
)
# Public URL - Trailing slash
self.assertEqual(
get_location('https://ci.opensearch.org/ci/os-distro-prod/'),
"https://ci.opensearch.org/ci/os-distro-prod/builds/1.1.0/c3ff7a232d25403fa8cc14c97799c323/x64/dir1/dir2/file"
)
def test_tar_name(self):
self.assertEqual(self.bundle_recorder.tar_name, "opensearch-1.1.0-linux-x64.tar.gz")
class TestBundleRecorderDashboards(unittest.TestCase):
def setUp(self):
manifest_path = os.path.join(
os.path.dirname(__file__), "data/opensearch-dashboards-build-1.1.0.yml"
)
manifest = BuildManifest.from_path(manifest_path)
self.bundle_recorder = BundleRecorder(
manifest.build, "output_dir", "artifacts_dir"
)
def test_record_component(self):
component = BuildManifest.Component(
{
"name": "alertingDashboards",
"repository": "https://github.com/opensearch-project/alerting-dashboards-plugin",
"ref": "main",
"commit_id": "ae789280740d7000d1f13245019414abeedfc286",
"artifacts": [],
"version": "1.0",
}
)
self.bundle_recorder.record_component(component, "plugins")
self.assertEqual(
self.bundle_recorder.get_manifest().to_dict(),
{
"build": {
"architecture": "x64",
"id": "c94ebec444a94ada86a230c9297b1d73",
"location": "output_dir/opensearch-dashboards-1.1.0-linux-x64.tar.gz",
"name": "OpenSearch Dashboards",
"version": "1.1.0",
},
"components": [
{
"commit_id": "ae789280740d7000d1f13245019414abeedfc286",
"location": "artifacts_dir/plugins",
"name": component.name,
"ref": "main",
"repository": "https://github.com/opensearch-project/alerting-dashboards-plugin",
}
],
"schema-version": "1.0",
},
)
def test_get_manifest(self):
manifest = self.bundle_recorder.get_manifest()
self.assertIs(type(manifest), BundleManifest)
self.assertEqual(
manifest.to_dict(),
{
"build": {
"architecture": "x64",
"id": "c94ebec444a94ada86a230c9297b1d73",
"location": "output_dir/opensearch-dashboards-1.1.0-linux-x64.tar.gz",
"name": "OpenSearch Dashboards",
"version": "1.1.0",
},
"schema-version": "1.0",
},
)
def test_write_manifest(self):
with tempfile.TemporaryDirectory() as dest_dir:
self.bundle_recorder.write_manifest(dest_dir)
manifest_path = os.path.join(dest_dir, "manifest.yml")
self.assertTrue(os.path.isfile(manifest_path))
data = self.bundle_recorder.get_manifest().to_dict()
with open(manifest_path) as f:
self.assertEqual(yaml.safe_load(f), data)
def test_record_component_public(self):
self.bundle_recorder.public_url = 'https://ci.opensearch.org/ci/os-distro-prod'
component = BuildManifest.Component(
{
"name": "alertingDashboards",
"repository": "https://github.com/opensearch-project/alerting-dashboards-plugin",
"ref": "main",
"commit_id": "ae789280740d7000d1f13245019414abeedfc286",
"artifacts": [],
"version": "1.0",
}
)
self.bundle_recorder.record_component(component, "plugins")
self.assertEqual(
self.bundle_recorder.get_manifest().to_dict(),
{
"build": {
"architecture": "x64",
"id": "c94ebec444a94ada86a230c9297b1d73",
"location": "output_dir/opensearch-dashboards-1.1.0-linux-x64.tar.gz",
"name": "OpenSearch Dashboards",
"version": "1.1.0",
},
"components": [
{
"commit_id": "ae789280740d7000d1f13245019414abeedfc286",
"location": "https://ci.opensearch.org/ci/os-distro-prod/builds/1.1.0/c94ebec444a94ada86a230c9297b1d73/x64/plugins",
"name": component.name,
"ref": "main",
"repository": "https://github.com/opensearch-project/alerting-dashboards-plugin",
}
],
"schema-version": "1.0",
},
)
def test_get_location_scenarios(self):
def get_location(public_url):
self.bundle_recorder.public_url = public_url
return self.bundle_recorder._BundleRecorder__get_location("builds", "dir1/dir2/file", "/tmp/builds/foo/dir1/dir2/file")
# No public URL - Fallback to ABS Path
self.assertEqual(get_location(None), "/tmp/builds/foo/dir1/dir2/file")
# Public URL - No trailing slash
self.assertEqual(
get_location('https://ci.opensearch.org/ci/os-distro-prod'),
"https://ci.opensearch.org/ci/os-distro-prod/builds/1.1.0/c94ebec444a94ada86a230c9297b1d73/x64/dir1/dir2/file"
)
# Public URL - Trailing slash
self.assertEqual(
get_location('https://ci.opensearch.org/ci/os-distro-prod/'),
"https://ci.opensearch.org/ci/os-distro-prod/builds/1.1.0/c94ebec444a94ada86a230c9297b1d73/x64/dir1/dir2/file"
)
def test_tar_name(self):
self.assertEqual(self.bundle_recorder.tar_name, "opensearch-dashboards-1.1.0-linux-x64.tar.gz")
| 40.318021
| 140
| 0.544785
| 1,047
| 11,410
| 5.786055
| 0.117479
| 0.010565
| 0.071311
| 0.039617
| 0.93001
| 0.920766
| 0.920766
| 0.920766
| 0.918125
| 0.913833
| 0
| 0.080189
| 0.333304
| 11,410
| 282
| 141
| 40.460993
| 0.716182
| 0.032691
| 0
| 0.719008
| 0
| 0.024793
| 0.320544
| 0.101678
| 0
| 0
| 0
| 0
| 0.082645
| 1
| 0.066116
| false
| 0
| 0.028926
| 0
| 0.11157
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
63269213b2f04f705ab4acc4489c1cb8e309ec57
| 6,496
|
py
|
Python
|
tests/test_order_LocalQl.py
|
phmalek/freud
|
cb0781f2009758638cd79a0bb6d44801e5473774
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_order_LocalQl.py
|
phmalek/freud
|
cb0781f2009758638cd79a0bb6d44801e5473774
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_order_LocalQl.py
|
phmalek/freud
|
cb0781f2009758638cd79a0bb6d44801e5473774
|
[
"BSD-3-Clause"
] | null | null | null |
import numpy as np
import numpy.testing as npt
import freud
import unittest
import util
class TestLocalQl(unittest.TestCase):
def test_shape(self):
N = 1000
L = 10
box, positions = util.make_box_and_random_points(L, N)
positions.flags['WRITEABLE'] = False
comp = freud.order.LocalQl(box, 1.5, 6)
comp.compute(positions)
npt.assert_equal(comp.Ql.shape[0], N)
def test_identical_environments(self):
(box, positions) = util.make_fcc(4, 4, 4)
comp = freud.order.LocalQl(box, 1.5, 6)
with self.assertRaises(AttributeError):
comp.num_particles
with self.assertRaises(AttributeError):
comp.Ql
with self.assertRaises(AttributeError):
comp.ave_Ql
with self.assertRaises(AttributeError):
comp.norm_Ql
with self.assertRaises(AttributeError):
comp.ave_norm_Ql
comp.compute(positions)
npt.assert_allclose(np.average(comp.Ql), 0.57452422, rtol=1e-6)
npt.assert_allclose(comp.Ql, comp.Ql[0], rtol=1e-6)
with self.assertRaises(AttributeError):
comp.ave_Ql
with self.assertRaises(AttributeError):
comp.norm_Ql
with self.assertRaises(AttributeError):
comp.ave_norm_Ql
comp.computeAve(positions)
npt.assert_allclose(np.average(comp.Ql), 0.57452422, rtol=1e-6)
npt.assert_allclose(comp.ave_Ql, comp.ave_Ql[0], rtol=1e-6)
with self.assertRaises(AttributeError):
comp.norm_Ql
with self.assertRaises(AttributeError):
comp.ave_norm_Ql
comp.computeNorm(positions)
npt.assert_allclose(np.average(comp.Ql), 0.57452422, rtol=1e-6)
npt.assert_allclose(comp.norm_Ql, comp.norm_Ql[0], rtol=1e-6)
with self.assertRaises(AttributeError):
comp.ave_norm_Ql
comp.computeAveNorm(positions)
npt.assert_allclose(np.average(comp.Ql), 0.57452422, rtol=1e-6)
npt.assert_allclose(comp.ave_norm_Ql, comp.ave_norm_Ql[0], rtol=1e-6)
self.assertEqual(box, comp.box)
self.assertEqual(len(positions), comp.num_particles)
def test_repr(self):
box = freud.box.Box.cube(10)
comp = freud.order.LocalQl(box, 1.5, 6)
self.assertEqual(str(comp), str(eval(repr(comp))))
def test_repr_png(self):
(box, positions) = util.make_fcc(4, 4, 4)
comp = freud.order.LocalQl(box, 1.5, 6)
with self.assertRaises(AttributeError):
comp.plot(mode="Ql")
with self.assertRaises(AttributeError):
comp.plot(mode="ave_Ql")
with self.assertRaises(AttributeError):
comp.plot(mode="ave_norm_Ql")
with self.assertRaises(AttributeError):
comp.plot(mode="norm_Ql")
self.assertEqual(comp._repr_png_(), None)
comp.compute(positions)
comp.plot(mode="Ql")
comp.computeAve(positions)
comp.plot(mode="ave_Ql")
comp.computeAveNorm(positions)
comp.plot(mode="ave_norm_Ql")
comp.computeNorm(positions)
comp.plot(mode="norm_Ql")
class TestLocalQlNear(unittest.TestCase):
def test_init_kwargs(self):
"""Ensure that keyword arguments are correctly accepted"""
box = freud.box.Box.cube(10)
comp = freud.order.LocalQlNear(box, 1.5, 6, kn=12) # noqa: F841
def test_shape(self):
N = 1000
L = 10
box, positions = util.make_box_and_random_points(L, N)
comp = freud.order.LocalQlNear(box, 1.5, 6, 12)
comp.compute(positions)
npt.assert_equal(comp.Ql.shape[0], N)
def test_identical_environments(self):
(box, positions) = util.make_fcc(4, 4, 4)
comp = freud.order.LocalQlNear(box, 1.5, 6, 12)
with self.assertRaises(AttributeError):
comp.num_particles
with self.assertRaises(AttributeError):
comp.Ql
with self.assertRaises(AttributeError):
comp.ave_Ql
with self.assertRaises(AttributeError):
comp.norm_Ql
with self.assertRaises(AttributeError):
comp.ave_norm_Ql
comp.compute(positions)
npt.assert_allclose(np.average(comp.Ql), 0.57452416, rtol=1e-6)
npt.assert_allclose(comp.Ql, comp.Ql[0], rtol=1e-6)
with self.assertRaises(AttributeError):
comp.ave_Ql
with self.assertRaises(AttributeError):
comp.norm_Ql
with self.assertRaises(AttributeError):
comp.ave_norm_Ql
comp.computeAve(positions)
npt.assert_allclose(np.average(comp.Ql), 0.57452416, rtol=1e-6)
npt.assert_allclose(comp.ave_Ql, comp.ave_Ql[0], rtol=1e-6)
with self.assertRaises(AttributeError):
comp.norm_Ql
with self.assertRaises(AttributeError):
comp.ave_norm_Ql
comp.computeNorm(positions)
npt.assert_allclose(np.average(comp.Ql), 0.57452416, rtol=1e-6)
npt.assert_allclose(comp.norm_Ql, comp.norm_Ql[0], rtol=1e-6)
with self.assertRaises(AttributeError):
comp.ave_norm_Ql
comp.computeAveNorm(positions)
npt.assert_allclose(np.average(comp.Ql), 0.57452416, rtol=1e-6)
npt.assert_allclose(comp.ave_norm_Ql, comp.ave_norm_Ql[0], rtol=1e-6)
self.assertEqual(box, comp.box)
self.assertEqual(len(positions), comp.num_particles)
def test_repr(self):
box = freud.box.Box.cube(10)
comp = freud.order.LocalQlNear(box, 1.5, 6, 12)
self.assertEqual(str(comp), str(eval(repr(comp))))
def test_repr_png(self):
(box, positions) = util.make_fcc(4, 4, 4)
comp = freud.order.LocalQlNear(box, 1.5, 6, 12)
with self.assertRaises(AttributeError):
comp.plot(mode="Ql")
with self.assertRaises(AttributeError):
comp.plot(mode="ave_Ql")
with self.assertRaises(AttributeError):
comp.plot(mode="ave_norm_Ql")
with self.assertRaises(AttributeError):
comp.plot(mode="norm_Ql")
self.assertEqual(comp._repr_png_(), None)
comp.compute(positions)
comp.plot(mode="Ql")
comp.computeAve(positions)
comp.plot(mode="ave_Ql")
comp.computeAveNorm(positions)
comp.plot(mode="ave_norm_Ql")
comp.computeNorm(positions)
comp.plot(mode="norm_Ql")
if __name__ == '__main__':
unittest.main()
| 33.142857
| 77
| 0.631619
| 832
| 6,496
| 4.78726
| 0.105769
| 0.060256
| 0.15064
| 0.256088
| 0.932212
| 0.932212
| 0.932212
| 0.932212
| 0.922169
| 0.913382
| 0
| 0.037837
| 0.251385
| 6,496
| 195
| 78
| 33.312821
| 0.781205
| 0.009852
| 0
| 0.921569
| 0
| 0
| 0.01883
| 0
| 0
| 0
| 0
| 0
| 0.366013
| 1
| 0.058824
| false
| 0
| 0.03268
| 0
| 0.104575
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
632b6ef6b3fb88f409c98eb36bfe66aad331b556
| 376,749
|
py
|
Python
|
code/python/QuotesAPIforDigitalPortals/v3/fds/sdk/QuotesAPIforDigitalPortals/api/basic_api.py
|
factset/enterprise-sdk
|
3fd4d1360756c515c9737a0c9a992c7451d7de7e
|
[
"Apache-2.0"
] | 6
|
2022-02-07T16:34:18.000Z
|
2022-03-30T08:04:57.000Z
|
code/python/QuotesAPIforDigitalPortals/v3/fds/sdk/QuotesAPIforDigitalPortals/api/basic_api.py
|
factset/enterprise-sdk
|
3fd4d1360756c515c9737a0c9a992c7451d7de7e
|
[
"Apache-2.0"
] | 2
|
2022-02-07T05:25:57.000Z
|
2022-03-07T14:18:04.000Z
|
code/python/QuotesAPIforDigitalPortals/v3/fds/sdk/QuotesAPIforDigitalPortals/api/basic_api.py
|
factset/enterprise-sdk
|
3fd4d1360756c515c9737a0c9a992c7451d7de7e
|
[
"Apache-2.0"
] | null | null | null |
"""
Quotes API For Digital Portals
The quotes API combines endpoints for retrieving security end-of-day, delayed, and realtime prices with performance key figures and basic reference data on the security and market level. The API supports over 20 different price types for each quote and comes with basic search endpoints based on security identifiers and instrument names. Market coverage is included in the *Sample Use Cases* section below. The Digital Portal use case is focused on high-performance applications that are * serving millions of end-users, * accessible by client browsers via the internet, * supporting subscriptions for streamed updates out-of-the-box, * typically combining a wide variety of *for Digital Portals*-APIs into a highly use-case specific solution for customers, * integrated into complex infrastructures such as existing frontend frameworks, authentication services. All APIs labelled *for Digital Portals* have been designed for direct use by client web applications and feature extreme low latency: The average response time across all endpoints is 30 ms whereas 99% of all requests are answered in close to under 300ms. See the Time Series API for Digital Portals for direct access to price histories, and the News API for Digital Portals for searching and fetching related news. # noqa: E501
The version of the OpenAPI document: 2
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from multiprocessing.pool import ApplyResult
import typing
from fds.sdk.QuotesAPIforDigitalPortals.api_client import ApiClient, Endpoint as _Endpoint
from fds.sdk.QuotesAPIforDigitalPortals.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
datetime,
file_type,
none_type,
validate_and_convert_types
)
from fds.sdk.QuotesAPIforDigitalPortals.exceptions import ApiException
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object import InlineObject
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object1 import InlineObject1
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object2 import InlineObject2
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object3 import InlineObject3
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object4 import InlineObject4
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object5 import InlineObject5
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object6 import InlineObject6
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object7 import InlineObject7
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_object8 import InlineObject8
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response200 import InlineResponse200
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2001 import InlineResponse2001
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20010 import InlineResponse20010
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20011 import InlineResponse20011
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20012 import InlineResponse20012
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20013 import InlineResponse20013
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20014 import InlineResponse20014
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20015 import InlineResponse20015
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20016 import InlineResponse20016
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20017 import InlineResponse20017
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20018 import InlineResponse20018
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20019 import InlineResponse20019
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2002 import InlineResponse2002
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20020 import InlineResponse20020
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20021 import InlineResponse20021
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20022 import InlineResponse20022
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20023 import InlineResponse20023
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20024 import InlineResponse20024
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20025 import InlineResponse20025
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20026 import InlineResponse20026
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20027 import InlineResponse20027
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20028 import InlineResponse20028
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20029 import InlineResponse20029
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2003 import InlineResponse2003
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response20030 import InlineResponse20030
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2004 import InlineResponse2004
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2005 import InlineResponse2005
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2006 import InlineResponse2006
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2007 import InlineResponse2007
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2008 import InlineResponse2008
from fds.sdk.QuotesAPIforDigitalPortals.model.inline_response2009 import InlineResponse2009
class BasicApi(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
self.get_basic_asset_class_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse200,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/assetClass/list',
'operation_id': 'get_basic_asset_class_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
},
'allowed_values': {
},
'openapi_types': {
'attributes':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
},
'location_map': {
'attributes': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_benchmark_type_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2002,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/benchmark/type/list',
'operation_id': 'get_basic_benchmark_type_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_frequency_type_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2004,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/frequency/type/list',
'operation_id': 'get_basic_frequency_type_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_language_get_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2005,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/language/get',
'operation_id': 'get_basic_language_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'attributes',
'language',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'id':
(float,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'id': 'id',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'id': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_language_get_by_code_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2006,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/language/getByCode',
'operation_id': 'get_basic_language_get_by_code',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'code',
'attributes',
'language',
],
'required': [
'code',
],
'nullable': [
],
'enum': [
],
'validation': [
'code',
'attributes',
'language',
]
},
root_map={
'validations': {
('code',): {
'max_length': 2,
},
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'code':
(str,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'code': 'code',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'code': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_language_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2007,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/language/list',
'operation_id': 'get_basic_language_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
'sort',
],
'required': [],
'nullable': [
],
'enum': [
'sort',
],
'validation': [
'attributes',
'language',
'sort',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
('sort',): {
'max_items': 2,
},
},
'allowed_values': {
('sort',): {
"CODE": "code",
"-CODE": "-code",
"NAME": "name",
"-NAME": "-name"
},
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
'sort':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
'sort': '_sort',
},
'location_map': {
'attributes': 'query',
'language': 'query',
'sort': 'query',
},
'collection_format_map': {
'attributes': 'csv',
'sort': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_market_get_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2008,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/market/get',
'operation_id': 'get_basic_market_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'attributes',
'language',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'id':
(float,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'id': 'id',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'id': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_market_group_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20010,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/market/group/list',
'operation_id': 'get_basic_market_group_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
'sort',
],
'required': [],
'nullable': [
],
'enum': [
'sort',
],
'validation': [
'attributes',
'language',
'sort',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
('sort',): {
'max_items': 2,
},
},
'allowed_values': {
('sort',): {
"NAME": "name",
"-NAME": "-name",
"SHORTNAME": "shortName",
"-SHORTNAME": "-shortName"
},
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
'sort':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
'sort': '_sort',
},
'location_map': {
'attributes': 'query',
'language': 'query',
'sort': 'query',
},
'collection_format_map': {
'attributes': 'csv',
'sort': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_market_type_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20011,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/market/type/list',
'operation_id': 'get_basic_market_type_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
'sort',
],
'required': [],
'nullable': [
],
'enum': [
'sort',
],
'validation': [
'attributes',
'language',
'sort',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
('sort',): {
'max_items': 1,
},
},
'allowed_values': {
('sort',): {
"NAME": "name",
"-NAME": "-name"
},
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
'sort':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
'sort': '_sort',
},
'location_map': {
'attributes': 'query',
'language': 'query',
'sort': 'query',
},
'collection_format_map': {
'attributes': 'csv',
'sort': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_media_kind_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20012,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/media/kind/list',
'operation_id': 'get_basic_media_kind_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
},
'allowed_values': {
},
'openapi_types': {
'attributes':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
},
'location_map': {
'attributes': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_region_continent_get_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20017,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/region/continent/get',
'operation_id': 'get_basic_region_continent_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'attributes',
'language',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'id':
(float,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'id': 'id',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'id': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_region_continent_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20018,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/region/continent/list',
'operation_id': 'get_basic_region_continent_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
'sort',
],
'required': [],
'nullable': [
],
'enum': [
'sort',
],
'validation': [
'attributes',
'language',
'sort',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
('sort',): {
'max_items': 1,
},
},
'allowed_values': {
('sort',): {
"NAME": "name",
"-NAME": "-name"
},
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
'sort':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
'sort': '_sort',
},
'location_map': {
'attributes': 'query',
'language': 'query',
'sort': 'query',
},
'collection_format_map': {
'attributes': 'csv',
'sort': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_region_country_get_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20019,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/region/country/get',
'operation_id': 'get_basic_region_country_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'attributes',
'language',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'id':
(float,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'id': 'id',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'id': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_region_country_get_by_code_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20020,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/region/country/getByCode',
'operation_id': 'get_basic_region_country_get_by_code',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'code',
'attributes',
'language',
],
'required': [
'code',
],
'nullable': [
],
'enum': [
],
'validation': [
'code',
'attributes',
'language',
]
},
root_map={
'validations': {
('code',): {
'max_length': 2,
},
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'code':
(str,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'code': 'code',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'code': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_region_country_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20021,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/region/country/list',
'operation_id': 'get_basic_region_country_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
'sort',
],
'required': [],
'nullable': [
],
'enum': [
'sort',
],
'validation': [
'attributes',
'language',
'sort',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
('sort',): {
'max_items': 2,
},
},
'allowed_values': {
('sort',): {
"CODE": "code",
"-CODE": "-code",
"NAME": "name",
"-NAME": "-name"
},
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
'sort':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
'sort': '_sort',
},
'location_map': {
'attributes': 'query',
'language': 'query',
'sort': 'query',
},
'collection_format_map': {
'attributes': 'csv',
'sort': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_region_get_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20015,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/region/get',
'operation_id': 'get_basic_region_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'attributes',
'language',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'id':
(float,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'id': 'id',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'id': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_region_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20016,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/region/list',
'operation_id': 'get_basic_region_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
'sort',
],
'required': [],
'nullable': [
],
'enum': [
'sort',
],
'validation': [
'attributes',
'language',
'sort',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
('sort',): {
'max_items': 2,
},
},
'allowed_values': {
('sort',): {
"CODE": "code",
"-CODE": "-code",
"NAME": "name",
"-NAME": "-name"
},
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
'sort':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
'sort': '_sort',
},
'location_map': {
'attributes': 'query',
'language': 'query',
'sort': 'query',
},
'collection_format_map': {
'attributes': 'csv',
'sort': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_timezone_get_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20022,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/timezone/get',
'operation_id': 'get_basic_timezone_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'attributes',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
},
'allowed_values': {
},
'openapi_types': {
'id':
(float,),
'attributes':
([str],),
},
'attribute_map': {
'id': 'id',
'attributes': '_attributes',
},
'location_map': {
'id': 'query',
'attributes': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_timezone_get_by_name_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20022,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/timezone/getByName',
'operation_id': 'get_basic_timezone_get_by_name',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'name',
'attributes',
],
'required': [
'name',
],
'nullable': [
],
'enum': [
],
'validation': [
'name',
'attributes',
]
},
root_map={
'validations': {
('name',): {
'max_length': 100,
'min_length': 1,
'regex': {
'pattern': r'^[A-Za-z_\/-]+$', # noqa: E501
},
},
('attributes',): {
'max_items': 50,
},
},
'allowed_values': {
},
'openapi_types': {
'name':
(str,),
'attributes':
([str],),
},
'attribute_map': {
'name': 'name',
'attributes': '_attributes',
},
'location_map': {
'name': 'query',
'attributes': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_value_unit_alternative_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20026,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/valueUnit/alternative/list',
'operation_id': 'get_basic_value_unit_alternative_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
'sort',
],
'required': [],
'nullable': [
],
'enum': [
'sort',
],
'validation': [
'attributes',
'language',
'sort',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
('sort',): {
'max_items': 1,
},
},
'allowed_values': {
('sort',): {
"NAME": "name",
"-NAME": "-name"
},
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
'sort':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
'sort': '_sort',
},
'location_map': {
'attributes': 'query',
'language': 'query',
'sort': 'query',
},
'collection_format_map': {
'attributes': 'csv',
'sort': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_value_unit_currency_fractional_get_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20028,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/valueUnit/currency/fractional/get',
'operation_id': 'get_basic_value_unit_currency_fractional_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'attributes',
'language',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'id':
(float,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'id': 'id',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'id': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_value_unit_currency_fractional_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20029,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/valueUnit/currency/fractional/list',
'operation_id': 'get_basic_value_unit_currency_fractional_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'attributes',
'language',
'sort',
],
'required': [],
'nullable': [
],
'enum': [
'sort',
],
'validation': [
'attributes',
'language',
'sort',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
('sort',): {
'max_items': 1,
},
},
'allowed_values': {
('sort',): {
"NAME": "name",
"-NAME": "-name"
},
},
'openapi_types': {
'attributes':
([str],),
'language':
(str,),
'sort':
([str],),
},
'attribute_map': {
'attributes': '_attributes',
'language': '_language',
'sort': '_sort',
},
'location_map': {
'attributes': 'query',
'language': 'query',
'sort': 'query',
},
'collection_format_map': {
'attributes': 'csv',
'sort': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_basic_value_unit_get_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20024,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/valueUnit/get',
'operation_id': 'get_basic_value_unit_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'attributes',
'language',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
],
'validation': [
'attributes',
'language',
]
},
root_map={
'validations': {
('attributes',): {
'max_items': 50,
},
('language',): {
'max_length': 2,
'min_length': 2,
},
},
'allowed_values': {
},
'openapi_types': {
'id':
(float,),
'attributes':
([str],),
'language':
(str,),
},
'attribute_map': {
'id': 'id',
'attributes': '_attributes',
'language': '_language',
},
'location_map': {
'id': 'query',
'attributes': 'query',
'language': 'query',
},
'collection_format_map': {
'attributes': 'csv',
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.post_basic_background_text_type_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2001,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/backgroundText/type/list',
'operation_id': 'post_basic_background_text_type_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
self.post_basic_delivery_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2003,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/delivery/list',
'operation_id': 'post_basic_delivery_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject1,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
self.post_basic_market_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse2009,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/market/list',
'operation_id': 'post_basic_market_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject2,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
self.post_basic_media_type_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20013,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/media/type/list',
'operation_id': 'post_basic_media_type_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject3,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
self.post_basic_mic_operating_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20014,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/mic/operating/list',
'operation_id': 'post_basic_mic_operating_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject4,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
self.post_basic_timezone_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20023,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/timezone/list',
'operation_id': 'post_basic_timezone_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject5,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
self.post_basic_value_unit_currency_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20027,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/valueUnit/currency/list',
'operation_id': 'post_basic_value_unit_currency_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject7,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
self.post_basic_value_unit_currency_main_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20030,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/valueUnit/currency/main/list',
'operation_id': 'post_basic_value_unit_currency_main_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject8,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
self.post_basic_value_unit_list_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (InlineResponse20025,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/basic/valueUnit/list',
'operation_id': 'post_basic_value_unit_list',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'body',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'body':
(InlineObject6,),
},
'attribute_map': {
},
'location_map': {
'body': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client
)
@staticmethod
def apply_kwargs_defaults(kwargs, return_http_data_only, async_req):
kwargs["async_req"] = async_req
kwargs["_return_http_data_only"] = return_http_data_only
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["_spec_property_naming"] = kwargs.get("_spec_property_naming", False)
kwargs["_content_type"] = kwargs.get("_content_type")
kwargs["_host_index"] = kwargs.get("_host_index")
def get_basic_asset_class_list(
self,
**kwargs
) -> InlineResponse200:
"""List of asset classes. # noqa: E501
List of asset classes as defined by FactSet Digital Solutions. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse200
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_asset_class_list_endpoint.call_with_http_info(**kwargs)
def get_basic_asset_class_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse200, int, typing.MutableMapping]:
"""List of asset classes. # noqa: E501
List of asset classes as defined by FactSet Digital Solutions. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse200
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_asset_class_list_endpoint.call_with_http_info(**kwargs)
def get_basic_asset_class_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse200]":
"""List of asset classes. # noqa: E501
List of asset classes as defined by FactSet Digital Solutions. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse200]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_asset_class_list_endpoint.call_with_http_info(**kwargs)
def get_basic_asset_class_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse200, int, typing.MutableMapping]]":
"""List of asset classes. # noqa: E501
List of asset classes as defined by FactSet Digital Solutions. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse200, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_asset_class_list_endpoint.call_with_http_info(**kwargs)
def get_basic_benchmark_type_list(
self,
**kwargs
) -> InlineResponse2002:
"""List of benchmark types. # noqa: E501
List of benchmark types. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2002
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_benchmark_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_benchmark_type_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse2002, int, typing.MutableMapping]:
"""List of benchmark types. # noqa: E501
List of benchmark types. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2002
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_benchmark_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_benchmark_type_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse2002]":
"""List of benchmark types. # noqa: E501
List of benchmark types. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2002]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_benchmark_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_benchmark_type_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2002, int, typing.MutableMapping]]":
"""List of benchmark types. # noqa: E501
List of benchmark types. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2002, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_benchmark_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_frequency_type_list(
self,
**kwargs
) -> InlineResponse2004:
"""List of frequency types. # noqa: E501
List of frequency types. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2004
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_frequency_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_frequency_type_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse2004, int, typing.MutableMapping]:
"""List of frequency types. # noqa: E501
List of frequency types. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2004
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_frequency_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_frequency_type_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse2004]":
"""List of frequency types. # noqa: E501
List of frequency types. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2004]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_frequency_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_frequency_type_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2004, int, typing.MutableMapping]]":
"""List of frequency types. # noqa: E501
List of frequency types. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2004, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_frequency_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_language_get(
self,
id,
**kwargs
) -> InlineResponse2005:
"""Details for a language. # noqa: E501
Details for a language. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (float): Identifier of a language.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2005
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_basic_language_get_endpoint.call_with_http_info(**kwargs)
def get_basic_language_get_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[InlineResponse2005, int, typing.MutableMapping]:
"""Details for a language. # noqa: E501
Details for a language. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (float): Identifier of a language.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2005
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_basic_language_get_endpoint.call_with_http_info(**kwargs)
def get_basic_language_get_async(
self,
id,
**kwargs
) -> "ApplyResult[InlineResponse2005]":
"""Details for a language. # noqa: E501
Details for a language. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (float): Identifier of a language.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2005]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_basic_language_get_endpoint.call_with_http_info(**kwargs)
def get_basic_language_get_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2005, int, typing.MutableMapping]]":
"""Details for a language. # noqa: E501
Details for a language. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (float): Identifier of a language.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2005, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_basic_language_get_endpoint.call_with_http_info(**kwargs)
def get_basic_language_get_by_code(
self,
code,
**kwargs
) -> InlineResponse2006:
"""Details for a language identified by code. # noqa: E501
Details for a language identified by code. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
code (str): ISO 639-1 code of the language.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2006
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['code'] = \
code
return self.get_basic_language_get_by_code_endpoint.call_with_http_info(**kwargs)
def get_basic_language_get_by_code_with_http_info(
self,
code,
**kwargs
) -> typing.Tuple[InlineResponse2006, int, typing.MutableMapping]:
"""Details for a language identified by code. # noqa: E501
Details for a language identified by code. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
code (str): ISO 639-1 code of the language.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2006
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['code'] = \
code
return self.get_basic_language_get_by_code_endpoint.call_with_http_info(**kwargs)
def get_basic_language_get_by_code_async(
self,
code,
**kwargs
) -> "ApplyResult[InlineResponse2006]":
"""Details for a language identified by code. # noqa: E501
Details for a language identified by code. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
code (str): ISO 639-1 code of the language.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2006]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['code'] = \
code
return self.get_basic_language_get_by_code_endpoint.call_with_http_info(**kwargs)
def get_basic_language_get_by_code_with_http_info_async(
self,
code,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2006, int, typing.MutableMapping]]":
"""Details for a language identified by code. # noqa: E501
Details for a language identified by code. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
code (str): ISO 639-1 code of the language.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2006, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['code'] = \
code
return self.get_basic_language_get_by_code_endpoint.call_with_http_info(**kwargs)
def get_basic_language_list(
self,
**kwargs
) -> InlineResponse2007:
"""List of languages. # noqa: E501
List of languages. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2007
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_language_list_endpoint.call_with_http_info(**kwargs)
def get_basic_language_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse2007, int, typing.MutableMapping]:
"""List of languages. # noqa: E501
List of languages. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2007
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_language_list_endpoint.call_with_http_info(**kwargs)
def get_basic_language_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse2007]":
"""List of languages. # noqa: E501
List of languages. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2007]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_language_list_endpoint.call_with_http_info(**kwargs)
def get_basic_language_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2007, int, typing.MutableMapping]]":
"""List of languages. # noqa: E501
List of languages. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2007, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_language_list_endpoint.call_with_http_info(**kwargs)
def get_basic_market_get(
self,
id,
**kwargs
) -> InlineResponse2008:
"""Details of a market. # noqa: E501
Details of a market. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (float): Identifier of a market.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2008
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_basic_market_get_endpoint.call_with_http_info(**kwargs)
def get_basic_market_get_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[InlineResponse2008, int, typing.MutableMapping]:
"""Details of a market. # noqa: E501
Details of a market. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (float): Identifier of a market.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2008
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_basic_market_get_endpoint.call_with_http_info(**kwargs)
def get_basic_market_get_async(
self,
id,
**kwargs
) -> "ApplyResult[InlineResponse2008]":
"""Details of a market. # noqa: E501
Details of a market. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (float): Identifier of a market.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2008]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_basic_market_get_endpoint.call_with_http_info(**kwargs)
def get_basic_market_get_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2008, int, typing.MutableMapping]]":
"""Details of a market. # noqa: E501
Details of a market. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (float): Identifier of a market.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2008, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_basic_market_get_endpoint.call_with_http_info(**kwargs)
def get_basic_market_group_list(
self,
**kwargs
) -> InlineResponse20010:
"""List of market groups. # noqa: E501
List of market groups. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20010
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_market_group_list_endpoint.call_with_http_info(**kwargs)
def get_basic_market_group_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20010, int, typing.MutableMapping]:
"""List of market groups. # noqa: E501
List of market groups. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20010
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_market_group_list_endpoint.call_with_http_info(**kwargs)
def get_basic_market_group_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20010]":
"""List of market groups. # noqa: E501
List of market groups. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20010]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_market_group_list_endpoint.call_with_http_info(**kwargs)
def get_basic_market_group_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20010, int, typing.MutableMapping]]":
"""List of market groups. # noqa: E501
List of market groups. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20010, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_market_group_list_endpoint.call_with_http_info(**kwargs)
def get_basic_market_type_list(
self,
**kwargs
) -> InlineResponse20011:
"""List of market types. # noqa: E501
List of market types. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20011
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_market_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_market_type_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20011, int, typing.MutableMapping]:
"""List of market types. # noqa: E501
List of market types. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20011
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_market_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_market_type_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20011]":
"""List of market types. # noqa: E501
List of market types. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20011]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_market_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_market_type_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20011, int, typing.MutableMapping]]":
"""List of market types. # noqa: E501
List of market types. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20011, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_market_type_list_endpoint.call_with_http_info(**kwargs)
def get_basic_media_kind_list(
self,
**kwargs
) -> InlineResponse20012:
"""List of media kinds. # noqa: E501
List of media kinds. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20012
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_media_kind_list_endpoint.call_with_http_info(**kwargs)
def get_basic_media_kind_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20012, int, typing.MutableMapping]:
"""List of media kinds. # noqa: E501
List of media kinds. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20012
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_media_kind_list_endpoint.call_with_http_info(**kwargs)
def get_basic_media_kind_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20012]":
"""List of media kinds. # noqa: E501
List of media kinds. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20012]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_media_kind_list_endpoint.call_with_http_info(**kwargs)
def get_basic_media_kind_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20012, int, typing.MutableMapping]]":
"""List of media kinds. # noqa: E501
List of media kinds. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20012, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_media_kind_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_continent_get(
self,
id,
**kwargs
) -> InlineResponse20017:
"""Details for a continent. # noqa: E501
Details for a continent. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (float): Identifier of a continent.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20017
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_basic_region_continent_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_continent_get_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[InlineResponse20017, int, typing.MutableMapping]:
"""Details for a continent. # noqa: E501
Details for a continent. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (float): Identifier of a continent.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20017
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_basic_region_continent_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_continent_get_async(
self,
id,
**kwargs
) -> "ApplyResult[InlineResponse20017]":
"""Details for a continent. # noqa: E501
Details for a continent. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (float): Identifier of a continent.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20017]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_basic_region_continent_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_continent_get_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20017, int, typing.MutableMapping]]":
"""Details for a continent. # noqa: E501
Details for a continent. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (float): Identifier of a continent.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20017, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_basic_region_continent_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_continent_list(
self,
**kwargs
) -> InlineResponse20018:
"""List of continents. # noqa: E501
List of continents. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20018
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_region_continent_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_continent_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20018, int, typing.MutableMapping]:
"""List of continents. # noqa: E501
List of continents. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20018
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_region_continent_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_continent_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20018]":
"""List of continents. # noqa: E501
List of continents. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20018]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_region_continent_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_continent_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20018, int, typing.MutableMapping]]":
"""List of continents. # noqa: E501
List of continents. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20018, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_region_continent_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_get(
self,
id,
**kwargs
) -> InlineResponse20019:
"""Details for a country. # noqa: E501
Details for a country. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (float): Identifier of a country.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20019
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_basic_region_country_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_get_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[InlineResponse20019, int, typing.MutableMapping]:
"""Details for a country. # noqa: E501
Details for a country. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (float): Identifier of a country.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20019
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_basic_region_country_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_get_async(
self,
id,
**kwargs
) -> "ApplyResult[InlineResponse20019]":
"""Details for a country. # noqa: E501
Details for a country. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (float): Identifier of a country.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20019]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_basic_region_country_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_get_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20019, int, typing.MutableMapping]]":
"""Details for a country. # noqa: E501
Details for a country. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (float): Identifier of a country.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20019, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_basic_region_country_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_get_by_code(
self,
code,
**kwargs
) -> InlineResponse20020:
"""Details for a country identified by code. # noqa: E501
Details for a country identified by code. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
code (str): ISO 3166-1 alpha-2 code of a country.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20020
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['code'] = \
code
return self.get_basic_region_country_get_by_code_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_get_by_code_with_http_info(
self,
code,
**kwargs
) -> typing.Tuple[InlineResponse20020, int, typing.MutableMapping]:
"""Details for a country identified by code. # noqa: E501
Details for a country identified by code. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
code (str): ISO 3166-1 alpha-2 code of a country.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20020
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['code'] = \
code
return self.get_basic_region_country_get_by_code_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_get_by_code_async(
self,
code,
**kwargs
) -> "ApplyResult[InlineResponse20020]":
"""Details for a country identified by code. # noqa: E501
Details for a country identified by code. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
code (str): ISO 3166-1 alpha-2 code of a country.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20020]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['code'] = \
code
return self.get_basic_region_country_get_by_code_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_get_by_code_with_http_info_async(
self,
code,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20020, int, typing.MutableMapping]]":
"""Details for a country identified by code. # noqa: E501
Details for a country identified by code. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
code (str): ISO 3166-1 alpha-2 code of a country.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20020, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['code'] = \
code
return self.get_basic_region_country_get_by_code_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_list(
self,
**kwargs
) -> InlineResponse20021:
"""List of countries. # noqa: E501
List of countries. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20021
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_region_country_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20021, int, typing.MutableMapping]:
"""List of countries. # noqa: E501
List of countries. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20021
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_region_country_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20021]":
"""List of countries. # noqa: E501
List of countries. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20021]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_region_country_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_country_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20021, int, typing.MutableMapping]]":
"""List of countries. # noqa: E501
List of countries. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20021, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_region_country_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_get(
self,
id,
**kwargs
) -> InlineResponse20015:
"""Details for a region. # noqa: E501
Details for a geographic, political, or economic region. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (float): Identifier of a region.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20015
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_basic_region_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_get_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[InlineResponse20015, int, typing.MutableMapping]:
"""Details for a region. # noqa: E501
Details for a geographic, political, or economic region. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (float): Identifier of a region.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20015
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_basic_region_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_get_async(
self,
id,
**kwargs
) -> "ApplyResult[InlineResponse20015]":
"""Details for a region. # noqa: E501
Details for a geographic, political, or economic region. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (float): Identifier of a region.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20015]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_basic_region_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_get_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20015, int, typing.MutableMapping]]":
"""Details for a region. # noqa: E501
Details for a geographic, political, or economic region. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (float): Identifier of a region.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20015, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_basic_region_get_endpoint.call_with_http_info(**kwargs)
def get_basic_region_list(
self,
**kwargs
) -> InlineResponse20016:
"""List of regions. # noqa: E501
List of geographic, political, and economic regions. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20016
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_region_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20016, int, typing.MutableMapping]:
"""List of regions. # noqa: E501
List of geographic, political, and economic regions. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20016
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_region_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20016]":
"""List of regions. # noqa: E501
List of geographic, political, and economic regions. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20016]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_region_list_endpoint.call_with_http_info(**kwargs)
def get_basic_region_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20016, int, typing.MutableMapping]]":
"""List of regions. # noqa: E501
List of geographic, political, and economic regions. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 2 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20016, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_region_list_endpoint.call_with_http_info(**kwargs)
def get_basic_timezone_get(
self,
id,
**kwargs
) -> InlineResponse20022:
"""Details of a timezone. # noqa: E501
Details of a timezone identified by id, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (float): Identifier of a timezone. An invalid or unsupported identifier will result in an error.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20022
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_basic_timezone_get_endpoint.call_with_http_info(**kwargs)
def get_basic_timezone_get_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[InlineResponse20022, int, typing.MutableMapping]:
"""Details of a timezone. # noqa: E501
Details of a timezone identified by id, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (float): Identifier of a timezone. An invalid or unsupported identifier will result in an error.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20022
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_basic_timezone_get_endpoint.call_with_http_info(**kwargs)
def get_basic_timezone_get_async(
self,
id,
**kwargs
) -> "ApplyResult[InlineResponse20022]":
"""Details of a timezone. # noqa: E501
Details of a timezone identified by id, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (float): Identifier of a timezone. An invalid or unsupported identifier will result in an error.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20022]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_basic_timezone_get_endpoint.call_with_http_info(**kwargs)
def get_basic_timezone_get_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20022, int, typing.MutableMapping]]":
"""Details of a timezone. # noqa: E501
Details of a timezone identified by id, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (float): Identifier of a timezone. An invalid or unsupported identifier will result in an error.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20022, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_basic_timezone_get_endpoint.call_with_http_info(**kwargs)
def get_basic_timezone_get_by_name(
self,
name,
**kwargs
) -> InlineResponse20022:
"""Details of a timezone identified by name. # noqa: E501
Details of a timezone identified by name, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
name (str): Name of a timezone. The result is determined by a case-sensitive equality comparison with the stored timezone names. An invalid or unsupported name will result in an error.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20022
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['name'] = \
name
return self.get_basic_timezone_get_by_name_endpoint.call_with_http_info(**kwargs)
def get_basic_timezone_get_by_name_with_http_info(
self,
name,
**kwargs
) -> typing.Tuple[InlineResponse20022, int, typing.MutableMapping]:
"""Details of a timezone identified by name. # noqa: E501
Details of a timezone identified by name, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
name (str): Name of a timezone. The result is determined by a case-sensitive equality comparison with the stored timezone names. An invalid or unsupported name will result in an error.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20022
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['name'] = \
name
return self.get_basic_timezone_get_by_name_endpoint.call_with_http_info(**kwargs)
def get_basic_timezone_get_by_name_async(
self,
name,
**kwargs
) -> "ApplyResult[InlineResponse20022]":
"""Details of a timezone identified by name. # noqa: E501
Details of a timezone identified by name, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
name (str): Name of a timezone. The result is determined by a case-sensitive equality comparison with the stored timezone names. An invalid or unsupported name will result in an error.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20022]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['name'] = \
name
return self.get_basic_timezone_get_by_name_endpoint.call_with_http_info(**kwargs)
def get_basic_timezone_get_by_name_with_http_info_async(
self,
name,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20022, int, typing.MutableMapping]]":
"""Details of a timezone identified by name. # noqa: E501
Details of a timezone identified by name, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
name (str): Name of a timezone. The result is determined by a case-sensitive equality comparison with the stored timezone names. An invalid or unsupported name will result in an error.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20022, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['name'] = \
name
return self.get_basic_timezone_get_by_name_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_alternative_list(
self,
**kwargs
) -> InlineResponse20026:
"""List of alternative units. # noqa: E501
List of alternative units. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20026
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_value_unit_alternative_list_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_alternative_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20026, int, typing.MutableMapping]:
"""List of alternative units. # noqa: E501
List of alternative units. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20026
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_value_unit_alternative_list_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_alternative_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20026]":
"""List of alternative units. # noqa: E501
List of alternative units. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20026]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_value_unit_alternative_list_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_alternative_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20026, int, typing.MutableMapping]]":
"""List of alternative units. # noqa: E501
List of alternative units. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20026, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_value_unit_alternative_list_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_currency_fractional_get(
self,
id,
**kwargs
) -> InlineResponse20028:
"""Details of a fractional currency. # noqa: E501
Details of a fractional currency. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (float): Identifier of a fractional currency.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20028
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_basic_value_unit_currency_fractional_get_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_currency_fractional_get_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[InlineResponse20028, int, typing.MutableMapping]:
"""Details of a fractional currency. # noqa: E501
Details of a fractional currency. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (float): Identifier of a fractional currency.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20028
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_basic_value_unit_currency_fractional_get_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_currency_fractional_get_async(
self,
id,
**kwargs
) -> "ApplyResult[InlineResponse20028]":
"""Details of a fractional currency. # noqa: E501
Details of a fractional currency. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (float): Identifier of a fractional currency.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20028]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_basic_value_unit_currency_fractional_get_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_currency_fractional_get_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20028, int, typing.MutableMapping]]":
"""Details of a fractional currency. # noqa: E501
Details of a fractional currency. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (float): Identifier of a fractional currency.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20028, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_basic_value_unit_currency_fractional_get_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_currency_fractional_list(
self,
**kwargs
) -> InlineResponse20029:
"""List of fractional currencies. # noqa: E501
List of fractional currencies. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20029
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.get_basic_value_unit_currency_fractional_list_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_currency_fractional_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20029, int, typing.MutableMapping]:
"""List of fractional currencies. # noqa: E501
List of fractional currencies. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20029
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.get_basic_value_unit_currency_fractional_list_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_currency_fractional_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20029]":
"""List of fractional currencies. # noqa: E501
List of fractional currencies. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20029]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.get_basic_value_unit_currency_fractional_list_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_currency_fractional_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20029, int, typing.MutableMapping]]":
"""List of fractional currencies. # noqa: E501
List of fractional currencies. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
sort ([str]): Sortable attributes. The sort order is ascending unless it is prefixed with a minus sign, in which case it is descending. A list of at most 1 (possibly prefixed) attribute name(s) is allowed.. [optional] if omitted the server will use the default value of ["name"]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20029, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.get_basic_value_unit_currency_fractional_list_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_get(
self,
id,
**kwargs
) -> InlineResponse20024:
"""Details of a value unit. # noqa: E501
Details of a value unit. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (float): Identifier of a value unit.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20024
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_basic_value_unit_get_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_get_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[InlineResponse20024, int, typing.MutableMapping]:
"""Details of a value unit. # noqa: E501
Details of a value unit. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (float): Identifier of a value unit.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20024
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_basic_value_unit_get_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_get_async(
self,
id,
**kwargs
) -> "ApplyResult[InlineResponse20024]":
"""Details of a value unit. # noqa: E501
Details of a value unit. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (float): Identifier of a value unit.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20024]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_basic_value_unit_get_endpoint.call_with_http_info(**kwargs)
def get_basic_value_unit_get_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20024, int, typing.MutableMapping]]":
"""Details of a value unit. # noqa: E501
Details of a value unit. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (float): Identifier of a value unit.
Keyword Args:
attributes ([str]): Limit the attributes returned in the response to the specified set.. [optional]
language (str): ISO 639-1 code of the language.. [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20024, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_basic_value_unit_get_endpoint.call_with_http_info(**kwargs)
def post_basic_background_text_type_list(
self,
**kwargs
) -> InlineResponse2001:
"""List of background text types. # noqa: E501
List of background text types. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2001
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_background_text_type_list_endpoint.call_with_http_info(**kwargs)
def post_basic_background_text_type_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse2001, int, typing.MutableMapping]:
"""List of background text types. # noqa: E501
List of background text types. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2001
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_background_text_type_list_endpoint.call_with_http_info(**kwargs)
def post_basic_background_text_type_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse2001]":
"""List of background text types. # noqa: E501
List of background text types. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2001]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_background_text_type_list_endpoint.call_with_http_info(**kwargs)
def post_basic_background_text_type_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2001, int, typing.MutableMapping]]":
"""List of background text types. # noqa: E501
List of background text types. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2001, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_background_text_type_list_endpoint.call_with_http_info(**kwargs)
def post_basic_delivery_list(
self,
**kwargs
) -> InlineResponse2003:
"""List of deliveries. # noqa: E501
List of deliveries. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject1): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2003
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_delivery_list_endpoint.call_with_http_info(**kwargs)
def post_basic_delivery_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse2003, int, typing.MutableMapping]:
"""List of deliveries. # noqa: E501
List of deliveries. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject1): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2003
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_delivery_list_endpoint.call_with_http_info(**kwargs)
def post_basic_delivery_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse2003]":
"""List of deliveries. # noqa: E501
List of deliveries. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject1): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2003]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_delivery_list_endpoint.call_with_http_info(**kwargs)
def post_basic_delivery_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2003, int, typing.MutableMapping]]":
"""List of deliveries. # noqa: E501
List of deliveries. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject1): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2003, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_delivery_list_endpoint.call_with_http_info(**kwargs)
def post_basic_market_list(
self,
**kwargs
) -> InlineResponse2009:
"""List of markets. # noqa: E501
List of markets. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject2): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2009
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_market_list_endpoint.call_with_http_info(**kwargs)
def post_basic_market_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse2009, int, typing.MutableMapping]:
"""List of markets. # noqa: E501
List of markets. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject2): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse2009
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_market_list_endpoint.call_with_http_info(**kwargs)
def post_basic_market_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse2009]":
"""List of markets. # noqa: E501
List of markets. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject2): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse2009]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_market_list_endpoint.call_with_http_info(**kwargs)
def post_basic_market_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse2009, int, typing.MutableMapping]]":
"""List of markets. # noqa: E501
List of markets. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject2): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse2009, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_market_list_endpoint.call_with_http_info(**kwargs)
def post_basic_media_type_list(
self,
**kwargs
) -> InlineResponse20013:
"""List of Internet media types. # noqa: E501
List of Internet media types. See http://www.iana.org/assignments/media-types/ for further details. Not all such Internet media types are available on the MDG. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject3): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20013
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_media_type_list_endpoint.call_with_http_info(**kwargs)
def post_basic_media_type_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20013, int, typing.MutableMapping]:
"""List of Internet media types. # noqa: E501
List of Internet media types. See http://www.iana.org/assignments/media-types/ for further details. Not all such Internet media types are available on the MDG. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject3): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20013
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_media_type_list_endpoint.call_with_http_info(**kwargs)
def post_basic_media_type_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20013]":
"""List of Internet media types. # noqa: E501
List of Internet media types. See http://www.iana.org/assignments/media-types/ for further details. Not all such Internet media types are available on the MDG. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject3): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20013]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_media_type_list_endpoint.call_with_http_info(**kwargs)
def post_basic_media_type_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20013, int, typing.MutableMapping]]":
"""List of Internet media types. # noqa: E501
List of Internet media types. See http://www.iana.org/assignments/media-types/ for further details. Not all such Internet media types are available on the MDG. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject3): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20013, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_media_type_list_endpoint.call_with_http_info(**kwargs)
def post_basic_mic_operating_list(
self,
**kwargs
) -> InlineResponse20014:
"""List of operating market identifier codes (MIC). # noqa: E501
List of operating market identifier codes (MIC). # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject4): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20014
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_mic_operating_list_endpoint.call_with_http_info(**kwargs)
def post_basic_mic_operating_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20014, int, typing.MutableMapping]:
"""List of operating market identifier codes (MIC). # noqa: E501
List of operating market identifier codes (MIC). # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject4): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20014
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_mic_operating_list_endpoint.call_with_http_info(**kwargs)
def post_basic_mic_operating_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20014]":
"""List of operating market identifier codes (MIC). # noqa: E501
List of operating market identifier codes (MIC). # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject4): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20014]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_mic_operating_list_endpoint.call_with_http_info(**kwargs)
def post_basic_mic_operating_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20014, int, typing.MutableMapping]]":
"""List of operating market identifier codes (MIC). # noqa: E501
List of operating market identifier codes (MIC). # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject4): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20014, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_mic_operating_list_endpoint.call_with_http_info(**kwargs)
def post_basic_timezone_list(
self,
**kwargs
) -> InlineResponse20023:
"""List of timezones. # noqa: E501
List of timezones identified by id, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject5): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20023
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_timezone_list_endpoint.call_with_http_info(**kwargs)
def post_basic_timezone_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20023, int, typing.MutableMapping]:
"""List of timezones. # noqa: E501
List of timezones identified by id, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject5): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20023
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_timezone_list_endpoint.call_with_http_info(**kwargs)
def post_basic_timezone_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20023]":
"""List of timezones. # noqa: E501
List of timezones identified by id, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject5): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20023]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_timezone_list_endpoint.call_with_http_info(**kwargs)
def post_basic_timezone_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20023, int, typing.MutableMapping]]":
"""List of timezones. # noqa: E501
List of timezones identified by id, as specified by the Internet Assigned Numbers Authority. See http://www.iana.org/time-zones for further details. Not all such timezones are available on the MDG. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject5): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20023, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_timezone_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_currency_list(
self,
**kwargs
) -> InlineResponse20027:
"""List of currencies. # noqa: E501
List of currencies. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject7): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20027
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_value_unit_currency_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_currency_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20027, int, typing.MutableMapping]:
"""List of currencies. # noqa: E501
List of currencies. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject7): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20027
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_value_unit_currency_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_currency_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20027]":
"""List of currencies. # noqa: E501
List of currencies. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject7): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20027]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_value_unit_currency_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_currency_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20027, int, typing.MutableMapping]]":
"""List of currencies. # noqa: E501
List of currencies. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject7): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20027, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_value_unit_currency_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_currency_main_list(
self,
**kwargs
) -> InlineResponse20030:
"""List of main currencies. # noqa: E501
List of main currencies. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject8): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20030
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_value_unit_currency_main_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_currency_main_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20030, int, typing.MutableMapping]:
"""List of main currencies. # noqa: E501
List of main currencies. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject8): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20030
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_value_unit_currency_main_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_currency_main_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20030]":
"""List of main currencies. # noqa: E501
List of main currencies. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject8): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20030]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_value_unit_currency_main_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_currency_main_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20030, int, typing.MutableMapping]]":
"""List of main currencies. # noqa: E501
List of main currencies. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject8): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20030, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_value_unit_currency_main_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_list(
self,
**kwargs
) -> InlineResponse20025:
"""List of value units. # noqa: E501
List of value units. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
body (InlineObject6): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20025
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.post_basic_value_unit_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_list_with_http_info(
self,
**kwargs
) -> typing.Tuple[InlineResponse20025, int, typing.MutableMapping]:
"""List of value units. # noqa: E501
List of value units. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
body (InlineObject6): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
InlineResponse20025
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.post_basic_value_unit_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_list_async(
self,
**kwargs
) -> "ApplyResult[InlineResponse20025]":
"""List of value units. # noqa: E501
List of value units. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
body (InlineObject6): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[InlineResponse20025]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.post_basic_value_unit_list_endpoint.call_with_http_info(**kwargs)
def post_basic_value_unit_list_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[InlineResponse20025, int, typing.MutableMapping]]":
"""List of value units. # noqa: E501
List of value units. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
body (InlineObject6): [optional]
_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.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(InlineResponse20025, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.post_basic_value_unit_list_endpoint.call_with_http_info(**kwargs)
| 46.317802
| 1,302
| 0.56794
| 41,448
| 376,749
| 5.021473
| 0.011557
| 0.03321
| 0.023985
| 0.02337
| 0.977163
| 0.973026
| 0.959516
| 0.951977
| 0.943982
| 0.94048
| 0
| 0.013458
| 0.367314
| 376,749
| 8,133
| 1,303
| 46.323497
| 0.859702
| 0.594669
| 0
| 0.71268
| 0
| 0
| 0.154586
| 0.045719
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0406
| false
| 0
| 0.014678
| 0
| 0.095565
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
2d75d1cdafd729db3c9a3c8ebeae4ec70ded2291
| 3,912
|
py
|
Python
|
syntaxes/pygments/syntax.py
|
kyoml/kyoml-syntax-highlight
|
a41ad3018b8a88c7bb9f743db1830b3ff92b929a
|
[
"MIT"
] | null | null | null |
syntaxes/pygments/syntax.py
|
kyoml/kyoml-syntax-highlight
|
a41ad3018b8a88c7bb9f743db1830b3ff92b929a
|
[
"MIT"
] | 1
|
2021-04-02T12:26:35.000Z
|
2021-04-02T12:26:35.000Z
|
syntaxes/pygments/syntax.py
|
kyoml/kyoml-syntax-highlight
|
a41ad3018b8a88c7bb9f743db1830b3ff92b929a
|
[
"MIT"
] | null | null | null |
from pygments.lexer import RegexLexer, bygroups
from pygments.token import *
import re
__all__=['KyomlLexer']
class KyomlLexer(RegexLexer):
name = 'Kyoml'
aliases = ['kyoml']
filenames = ['*.kyo', '*.kyoml']
flags = re.MULTILINE | re.UNICODE
tokens = {
'root' : [
(u'([-+]?[\\d.]+)', bygroups(Number)),
(u'(\\{)', bygroups(Punctuation), 'main__1'),
(u'(\\b[a-zA-Z][a-zA-Z0-9_]*)', bygroups(Keyword)),
(u'(@(\\b[a-zA-Z][a-zA-Z0-9_]*)\\()', bygroups(Name.Function), 'main__2'),
(u'(@(\\b[a-zA-Z][a-zA-Z0-9_]*))', bygroups(Name.Function)),
(u'([=:]|\\|>|<\\|)', bygroups(Operator)),
(u'([\\[])', bygroups(Punctuation), 'main__3'),
(u'(,)', bygroups(Punctuation)),
(u'(\\\")', bygroups(String), 'main__4'),
(u'(\\\')', bygroups(String), 'main__5'),
(u'(#.*)', bygroups(Comment)),
(u'([^\\s\\n\\r])', bygroups(Generic.Error)),
('(\n|\r|\r\n)', String),
('.', String),
],
'interpolation__1' : [
('(\n|\r|\r\n)', String),
('.', String.Interpol),
],
'main__1' : [
(u'([-+]?[\\d.]+)', bygroups(Number)),
(u'(\\{)', bygroups(Punctuation), 'main__1'),
(u'(\\b[a-zA-Z][a-zA-Z0-9_]*)', bygroups(Keyword)),
(u'(@(\\b[a-zA-Z][a-zA-Z0-9_]*)\\()', bygroups(Name.Function), 'main__2'),
(u'(@(\\b[a-zA-Z][a-zA-Z0-9_]*))', bygroups(Name.Function)),
(u'([=:]|\\|>|<\\|)', bygroups(Operator)),
(u'([\\[])', bygroups(Punctuation), 'main__3'),
(u'(,)', bygroups(Punctuation)),
(u'(\\\")', bygroups(String), 'main__4'),
(u'(\\\')', bygroups(String), 'main__5'),
(u'(#.*)', bygroups(Comment)),
(u'([^\\s\\n\\r])', bygroups(Generic.Error)),
('(\n|\r|\r\n)', String),
('.', String),
],
'main__2' : [
(u'([-+]?[\\d.]+)', bygroups(Number)),
(u'(\\{)', bygroups(Punctuation), 'main__1'),
(u'(\\b[a-zA-Z][a-zA-Z0-9_]*)', bygroups(Keyword)),
(u'(@(\\b[a-zA-Z][a-zA-Z0-9_]*)\\()', bygroups(Name.Function), 'main__2'),
(u'(@(\\b[a-zA-Z][a-zA-Z0-9_]*))', bygroups(Name.Function)),
(u'([=:]|\\|>|<\\|)', bygroups(Operator)),
(u'([\\[])', bygroups(Punctuation), 'main__3'),
(u'(,)', bygroups(Punctuation)),
(u'(\\\")', bygroups(String), 'main__4'),
(u'(\\\')', bygroups(String), 'main__5'),
(u'(#.*)', bygroups(Comment)),
(u'([^\\s\\n\\r])', bygroups(Generic.Error)),
('(\n|\r|\r\n)', String),
('.', String),
],
'main__3' : [
(u'([-+]?[\\d.]+)', bygroups(Number)),
(u'(\\{)', bygroups(Punctuation), 'main__1'),
(u'(\\b[a-zA-Z][a-zA-Z0-9_]*)', bygroups(Keyword)),
(u'(@(\\b[a-zA-Z][a-zA-Z0-9_]*)\\()', bygroups(Name.Function), 'main__2'),
(u'(@(\\b[a-zA-Z][a-zA-Z0-9_]*))', bygroups(Name.Function)),
(u'([=:]|\\|>|<\\|)', bygroups(Operator)),
(u'([\\[])', bygroups(Punctuation), 'main__3'),
(u'(,)', bygroups(Punctuation)),
(u'(\\\")', bygroups(String), 'main__4'),
(u'(\\\')', bygroups(String), 'main__5'),
(u'(#.*)', bygroups(Comment)),
(u'([^\\s\\n\\r])', bygroups(Generic.Error)),
('(\n|\r|\r\n)', String),
('.', String),
],
'main__4' : [
(u'(\\$\\{)', bygroups(String.Interpol), 'interpolation__1'),
(u'(.)', bygroups(String)),
('(\n|\r|\r\n)', String),
('.', String),
],
'main__5' : [
('(\n|\r|\r\n)', String),
('.', String),
]
}
| 41.178947
| 86
| 0.403885
| 403
| 3,912
| 3.746898
| 0.121588
| 0.178808
| 0.15894
| 0.039735
| 0.834437
| 0.834437
| 0.802649
| 0.789404
| 0.789404
| 0.789404
| 0
| 0.018299
| 0.287577
| 3,912
| 94
| 87
| 41.617021
| 0.523502
| 0
| 0
| 0.752809
| 0
| 0.033708
| 0.266172
| 0.08898
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.033708
| 0
| 0.101124
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2de9e925a4efb17dfad6e9944eb57d1638897769
| 8,441
|
py
|
Python
|
torchlib/datasets/fersynthetic.py
|
lvxiuwang/ferattention
|
02e97df4a12129ed6706bddf0d2109650eae8765
|
[
"MIT"
] | 1
|
2021-05-08T13:27:02.000Z
|
2021-05-08T13:27:02.000Z
|
torchlib/datasets/fersynthetic.py
|
lvxiuwang/ferattention
|
02e97df4a12129ed6706bddf0d2109650eae8765
|
[
"MIT"
] | null | null | null |
torchlib/datasets/fersynthetic.py
|
lvxiuwang/ferattention
|
02e97df4a12129ed6706bddf0d2109650eae8765
|
[
"MIT"
] | null | null | null |
import os
import numpy as np
import cv2
import random
import torch
import torch.utils.data as data
import torch.nn.functional
from ..transforms.ferrender import Generator
from pytvision.datasets import imageutl as imutl
from pytvision.datasets import utility
from pytvision.transforms import functional as F
from pytvision.transforms.aumentation import(
ObjectImageMaskAndWeightTransform,
ObjectImageTransform,
ObjectImageAndLabelTransform,
ObjectImageAndMaskTransform,
ObjectRegressionTransform,
ObjectImageAndAnnotations,
ObjectImageAndMaskMetadataTransform,
)
import warnings
warnings.filterwarnings("ignore")
class SyntheticFaceDataset( data.Dataset ):
'''
Management for Synthetic Face dataset
'''
generate_image = 'image'
generate_image_and_mask = 'image_and_mask'
def __init__(self,
data,
pathnameback=None,
ext='jpg',
count=None,
num_channels=3,
generate='image_and_mask',
iluminate=True, angle=45, translation=0.3, warp=0.1, factor=0.2,
transform_image=None,
transform_data=None,
):
"""Initialization
"""
self.data = data
self.bbackimage = pathnameback != None
self.databack = None
if count is None:
count = len(data)
if self.bbackimage:
pathnameback = os.path.expanduser( pathnameback )
self.databack = imutl.imageProvide( pathnameback, ext=ext )
self.num_classes=data.numclass
self.labels = data.labels
self.num_channels = num_channels
self.generate = generate
self.ren = Generator( iluminate, angle, translation, warp, factor )
self.count=count
self.transform_image = transform_image
self.transform_data = transform_data
def __len__(self):
return self.count
def __getitem__(self, idx):
# read image
image, label = self.data[ (idx)%len(self.data) ]
#A,A_inv = F.compute_norm_mat( image.shape[1], image.shape[0] )
#image = F.equalization(image,A,A_inv)
image = utility.to_channels(image, self.num_channels)
# read background
if self.bbackimage:
idxk = random.randint(1, len(self.databack) - 1 )
back = self.databack[ idxk ]
back = F.resize_image(back, 640, 1024, resize_mode='crop', interpolate_mode=cv2.INTER_LINEAR);
back = utility.to_channels(back, self.num_channels)
else:
back = np.ones( (640,1024,3), dtype=np.uint8 )*255
if self.generate == 'image':
obj = ObjectImageTransform( image )
elif self.generate == 'image_and_mask':
image_org, image_ilu, mask, h = self.ren.generate( image, back )
image_org = utility.to_gray( image_org.astype(np.uint8) )
image_org = utility.to_channels(image_org, self.num_channels)
image_org = image_org.astype(np.uint8)
image_ilu = utility.to_gray( image_ilu.astype(np.uint8) )
image_ilu = utility.to_channels(image_ilu, self.num_channels)
image_ilu = image_ilu.astype(np.uint8)
mask = mask[:,:,0]
mask_t = np.zeros( (mask.shape[0], mask.shape[1], 2) )
mask_t[:,:,0] = (mask == 0).astype( np.uint8 ) # 0-backgraund
mask_t[:,:,1] = (mask == 1).astype( np.uint8 )
obj_image = ObjectImageTransform( image_org.copy() )
obj_data = ObjectImageAndMaskMetadataTransform( image_ilu.copy(), mask_t, np.concatenate( ( [label], h),axis=0 ) ) #np.array([label])
else:
assert(False)
if self.transform_image:
obj_image = self.transform_image( obj_image )
if self.transform_data:
obj_data = self.transform_data( obj_data )
x_img, y_mask, y_lab = obj_data.to_value()
x_org = obj_image.to_value()
return x_org, x_img, y_mask, y_lab
class SecuencialSyntheticFaceDataset( data.Dataset ):
'''
Management for Synthetic Face dataset
'''
generate_image = 'image'
generate_image_and_mask = 'image_and_mask'
def __init__(self,
data,
pathnameback=None,
ext='jpg',
count=None,
num_channels=3,
generate='image_and_mask',
iluminate=True, angle=45, translation=0.3, warp=0.1, factor=0.2,
transform_image=None,
transform_data=None,
):
"""Initialization
"""
self.data = data
self.bbackimage = pathnameback != None
self.databack = None
if count is None:
count = len(data)
if self.bbackimage:
pathnameback = os.path.expanduser( pathnameback )
self.databack = imutl.imageProvide( pathnameback, ext=ext )
self.num_classes=data.numclass
self.labels = data.labels
self.num_channels = num_channels
self.generate = generate
self.ren = Generator( iluminate, angle, translation, warp, factor )
self.count=count
self.transform_image = transform_image
self.transform_data = transform_data
self.labels_index = list()
for cl in range( self.num_classes ):
indx = np.where( self.labels==cl )[0]
self.labels_index.append( indx )
def __len__(self):
return self.count
def __getitem__(self, idx):
# read image
idx = idx % self.num_classes
class_index = self.labels_index[ idx ]
n = len( class_index )
idx = class_index[ random.randint(0,n-1) ]
image, label = self.data[ idx ]
#image, label = self.data[ (idx)%len(self.data) ]
#A,A_inv = F.compute_norm_mat( image.shape[1], image.shape[0] )
#image = F.equalization(image,A,A_inv)
image = utility.to_channels(image, self.num_channels)
# read background
if self.bbackimage:
idxk = random.randint(1, len(self.databack) - 1 )
back = self.databack[ idxk ]
back = F.resize_image(back, 640, 1024, resize_mode='crop', interpolate_mode=cv2.INTER_LINEAR);
back = utility.to_channels(back, self.num_channels)
else:
back = np.ones( (640,1024,3), dtype=np.uint8 )*255
if self.generate == 'image':
obj = ObjectImageTransform( image )
elif self.generate == 'image_and_mask':
image_org, image_ilu, mask, h = self.ren.generate( image, back )
image_org = utility.to_gray( image_org.astype(np.uint8) )
image_org = utility.to_channels(image_org, self.num_channels)
image_org = image_org.astype(np.uint8)
image_ilu = utility.to_gray( image_ilu.astype(np.uint8) )
image_ilu = utility.to_channels(image_ilu, self.num_channels)
image_ilu = image_ilu.astype(np.uint8)
mask = mask[:,:,0]
mask_t = np.zeros( (mask.shape[0], mask.shape[1], 2) )
mask_t[:,:,0] = (mask == 0).astype( np.uint8 ) # 0-backgraund
mask_t[:,:,1] = (mask == 1).astype( np.uint8 )
obj_image = ObjectImageTransform( image_org.copy() )
obj_data = ObjectImageAndMaskMetadataTransform( image_ilu.copy(), mask_t, np.concatenate( ( [label], h),axis=0 ) )
else:
assert(False)
if self.transform_image:
obj_image = self.transform_image( obj_image )
if self.transform_data:
obj_data = self.transform_data( obj_data )
x_img, y_mask, y_lab = obj_data.to_value()
x_org = obj_image.to_value()
return x_org, x_img, y_mask, y_lab
| 33.232283
| 145
| 0.5619
| 927
| 8,441
| 4.909385
| 0.151025
| 0.028126
| 0.034278
| 0.026368
| 0.825972
| 0.821358
| 0.821358
| 0.821358
| 0.821358
| 0.821358
| 0
| 0.018345
| 0.34131
| 8,441
| 253
| 146
| 33.363636
| 0.80018
| 0.060419
| 0
| 0.792683
| 0
| 0
| 0.015748
| 0
| 0
| 0
| 0
| 0
| 0.012195
| 1
| 0.036585
| false
| 0
| 0.079268
| 0.012195
| 0.176829
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2dedc1ff537a0c583885bd8c580d24cd5ff9fca9
| 3,575
|
py
|
Python
|
src/models/jaxgp/exact.py
|
jejjohnson/uncertain_gps
|
8f71a74dc38640dcf2113eb742229d991ead041d
|
[
"MIT"
] | 9
|
2020-02-23T16:23:58.000Z
|
2022-03-07T06:43:45.000Z
|
src/models/jaxgp/exact.py
|
jejjohnson/uncertain_gps
|
8f71a74dc38640dcf2113eb742229d991ead041d
|
[
"MIT"
] | null | null | null |
src/models/jaxgp/exact.py
|
jejjohnson/uncertain_gps
|
8f71a74dc38640dcf2113eb742229d991ead041d
|
[
"MIT"
] | 1
|
2022-02-25T04:37:18.000Z
|
2022-02-25T04:37:18.000Z
|
from functools import partial
from typing import Callable, Dict, Tuple
import jax
import jax.numpy as jnp
from src.models.jaxgp.utils import get_factorizations
def gp_prior(
params: Dict, mu_f: Callable, cov_f: Callable, x: jnp.ndarray
) -> Tuple[jnp.ndarray, jnp.ndarray]:
return mu_f(x), cov_f(params, x, x)
@partial(jax.jit, static_argnums=(0, 1, 2, 3, 5, 6))
def posterior(
params: Dict,
prior_params: Tuple[Callable, Callable],
X: jnp.ndarray,
Y: jnp.ndarray,
X_new: jnp.ndarray,
likelihood_noise: bool = False,
return_cov: bool = False,
) -> Tuple[jnp.ndarray, jnp.ndarray]:
(mu_func, cov_func) = prior_params
# ==============================
# Get Factorizations (L, alpha)
# ==============================
L, alpha = get_factorizations(
params=params, prior_params=prior_params, X=X, Y=Y, X_new=X_new,
)
# ================================
# 4. PREDICTIVE MEAN DISTRIBUTION
# ================================
# calculate transform kernel
KxX = cov_func(params, X_new, X)
# Calculate the Mean
mu_y = jnp.dot(KxX, alpha)
# =====================================
# 5. PREDICTIVE COVARIANCE DISTRIBUTION
# =====================================
v = jax.scipy.linalg.cho_solve(L, KxX.T)
# Calculate kernel matrix for inputs
Kxx = cov_func(params, X_new, X_new)
cov_y = Kxx - jnp.dot(KxX, v)
# Likelihood Noise
if likelihood_noise is True:
cov_y += params["likelihood_noise"]
# return variance (diagonals of covaraince)
if return_cov is not True:
cov_y = jnp.diag(cov_y)
return mu_y, cov_y
@partial(jax.jit, static_argnums=(0, 1, 2, 3))
def predictive_mean(
params: Dict,
prior_params: Tuple[Callable, Callable],
X: jnp.ndarray,
Y: jnp.ndarray,
X_new: jnp.ndarray,
) -> jnp.ndarray:
(_, cov_func) = prior_params
# ==============================
# Get Factorizations (L, alpha)
# ==============================
L, alpha = get_factorizations(
params=params, prior_params=prior_params, X=X, Y=Y, X_new=X_new,
)
# ================================
# 4. PREDICTIVE MEAN DISTRIBUTION
# ================================
# calculate transform kernel
KxX = cov_func(params, X_new, X)
# Calculate the Mean
mu_y = jnp.dot(KxX, alpha)
return mu_y.squeeze()
@partial(jax.jit, static_argnums=(0, 1, 2, 3, 5, 6))
def predictive_variance(
params: Dict,
prior_params: Tuple[Callable, Callable],
X: jnp.ndarray,
Y: jnp.ndarray,
X_new: jnp.ndarray,
likelihood_noise: bool = False,
return_cov: bool = False,
) -> jnp.ndarray:
(mu_func, cov_func) = prior_params
# ==============================
# Get Factorizations (L, alpha)
# ==============================
L, alpha = get_factorizations(
params=params, prior_params=prior_params, X=X, Y=Y, X_new=X_new,
)
# =====================================
# 5. PREDICTIVE COVARIANCE DISTRIBUTION
# =====================================
# calculate transform kernel
KxX = cov_func(params, X_new, X)
v = jax.scipy.linalg.cho_solve(L, KxX.T)
# Calculate kernel matrix for inputs
Kxx = cov_func(params, X_new, X_new)
cov_y = Kxx - jnp.dot(KxX, v)
# Likelihood Noise
if likelihood_noise is True:
cov_y += params["likelihood_noise"]
# return variance (diagonals of covaraince)
if return_cov is not True:
cov_y = jnp.diag(cov_y)
return cov_y.squeeze()
| 25.719424
| 72
| 0.557483
| 443
| 3,575
| 4.320542
| 0.173815
| 0.083595
| 0.020899
| 0.020899
| 0.816614
| 0.795716
| 0.795716
| 0.795716
| 0.795716
| 0.780042
| 0
| 0.007153
| 0.217902
| 3,575
| 138
| 73
| 25.905797
| 0.677396
| 0.281399
| 0
| 0.732394
| 0
| 0
| 0.012618
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.056338
| false
| 0
| 0.070423
| 0.014085
| 0.183099
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fa7cb97e37a66106731e557e7a06f09c9a5e33d9
| 146
|
py
|
Python
|
ncem_benchmarks/__init__.py
|
theislab/ncem_benchmarks
|
5cc3ab6296f0421c49c874642679342d5cf6be7c
|
[
"BSD-3-Clause"
] | 2
|
2021-07-02T12:26:51.000Z
|
2022-02-13T15:30:30.000Z
|
ncem_benchmarks/__init__.py
|
theislab/ncem_benchmarks
|
5cc3ab6296f0421c49c874642679342d5cf6be7c
|
[
"BSD-3-Clause"
] | 1
|
2021-08-03T09:21:47.000Z
|
2022-02-15T15:12:03.000Z
|
ncem_benchmarks/__init__.py
|
theislab/ncem_benchmarks
|
5cc3ab6296f0421c49c874642679342d5cf6be7c
|
[
"BSD-3-Clause"
] | null | null | null |
from .hyperparameter_container import HyperparameterContainer
from .conditional_hyperparameter_container import ConditionalHyperparameterContainer
| 73
| 84
| 0.938356
| 11
| 146
| 12.181818
| 0.636364
| 0.343284
| 0.432836
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.047945
| 146
| 2
| 84
| 73
| 0.964029
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 1
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
fac6c682d4545b8def7ebd6a33e61efa0289cbee
| 11,827
|
py
|
Python
|
tests/test_asce/test_aarq.py
|
Layty/dlms-cosem
|
95b67054a1dfb928e960547b0246b7b6794f0594
|
[
"MIT"
] | 1
|
2021-08-20T09:19:07.000Z
|
2021-08-20T09:19:07.000Z
|
tests/test_asce/test_aarq.py
|
Layty/dlms-cosem
|
95b67054a1dfb928e960547b0246b7b6794f0594
|
[
"MIT"
] | null | null | null |
tests/test_asce/test_aarq.py
|
Layty/dlms-cosem
|
95b67054a1dfb928e960547b0246b7b6794f0594
|
[
"MIT"
] | null | null | null |
import pytest
from dlms_cosem import enumerations
from dlms_cosem.protocol.acse import ApplicationAssociationRequestApdu, UserInformation
from dlms_cosem.protocol.xdlms import (
Conformance,
GlobalCipherInitiateResponse,
InitiateRequestApdu,
)
# Example encodings from DLMS Green Book v10: page 444
class TestParseAARQ:
def test_parse_no_ciphering_no_sercurity(self):
data = b"`\x1d\xa1\t\x06\x07`\x85t\x05\x08\x01\x01\xbe\x10\x04\x0e\x01\x00\x00\x00\x06_\x1f\x04\x00\x00~\x1f\x04\xb0"
aarq = ApplicationAssociationRequestApdu.from_bytes(data)
print(aarq)
assert not aarq.ciphered
assert aarq.authentication is None
def test_parse_no_ciphering_low_security(self):
data = b"`6\xa1\t\x06\x07`\x85t\x05\x08\x01\x01\x8a\x02\x07\x80\x8b\x07`\x85t\x05\x08\x02\x01\xac\n\x80\x0812345678\xbe\x10\x04\x0e\x01\x00\x00\x00\x06_\x1f\x04\x00\x00~\x1f\x04\xb0"
aarq = ApplicationAssociationRequestApdu.from_bytes(data)
print(aarq)
assert not aarq.ciphered
assert aarq.authentication == enumerations.AuthenticationMechanism.LLS
# Password is used in LLS
assert aarq.authentication_value is not None
def test_parse_no_ciphering_high_security(self):
data = b"`6\xa1\t\x06\x07`\x85t\x05\x08\x01\x01\x8a\x02\x07\x80\x8b\x07`\x85t\x05\x08\x02\x05\xac\n\x80\x08K56iVagY\xbe\x10\x04\x0e\x01\x00\x00\x00\x06_\x1f\x04\x00\x00~\x1f\x04\xb0"
aarq = ApplicationAssociationRequestApdu.from_bytes(data)
print(aarq)
assert not aarq.ciphered
assert aarq.authentication == enumerations.AuthenticationMechanism.HLS_GMAC
# Password is used in LLS
assert aarq.authentication_value is not None
def test_parse_ciphered_low_security(self):
data = b'`f\xa1\t\x06\x07`\x85t\x05\x08\x01\x03\xa6\n\x04\x08MMM\x00\x00\xbcaN\x8a\x02\x07\x80\x8b\x07`\x85t\x05\x08\x02\x01\xac\n\x80\x0812345678\xbe4\x042!00\x01#Eg\x80\x13\x02\xff\x8axt\x13=AL\xed%\xb4%4\xd2\x8d\xb0\x04w `k\x17[\xd5"\x11\xbehA\xdb M9\xeeo\xdb\x8e5hU'
aarq = ApplicationAssociationRequestApdu.from_bytes(data)
print(aarq)
assert aarq.ciphered
assert aarq.authentication == enumerations.AuthenticationMechanism.LLS
# you need to set a system title when ciphering
assert aarq.system_title is not None
# Password is used in LLS
assert aarq.authentication_value is not None
def test_parse_ciphered_low_security2(self):
data = bytes.fromhex(
"6066a109060760857405080103a60a04084D4D4D0000BC614E8a0207808b0760857405080201ac0a80083132333435363738be34043221303001234567801302FF8A7874133D414CED25B42534D28DB0047720606B175BD52211BE6841DB204D39EE6FDB8E356855"
)
aarq = ApplicationAssociationRequestApdu.from_bytes(data)
print(aarq)
assert aarq.ciphered
assert aarq.authentication == enumerations.AuthenticationMechanism.LLS
# you need to set a system title when ciphering
assert aarq.system_title == bytes.fromhex("4D4D4D0000BC614E")
# Password is used in LLS
assert aarq.authentication_value == b"12345678"
assert aarq.to_bytes() == data
def test_hls(self):
data = bytes.fromhex(
"6036A1090607608574050801018A0207808B0760857405080202AC0A80083132333435363738BE10040E01000000065F1F0400007E1FFFFF"
)
aarq = ApplicationAssociationRequestApdu.from_bytes(data)
assert aarq.authentication
assert aarq.user_information
assert isinstance(aarq.user_information.content, InitiateRequestApdu)
assert aarq.authentication_value is not None
class TestEncodeAARE:
def test_decode(self):
resulting_bytes = bytes.fromhex(
"601DA109060760857405080101BE10040E01000000065F1F0400001E1DFFFF"
)
aarq = ApplicationAssociationRequestApdu(
ciphered=False,
system_title=None,
public_cert=None,
authentication=None,
authentication_value=None,
user_information=UserInformation(
content=InitiateRequestApdu(
proposed_conformance=Conformance(
general_protection=False,
general_block_transfer=False,
delta_value_encoding=False,
attribute_0_supported_with_set=False,
priority_management_supported=False,
attribute_0_supported_with_get=False,
block_transfer_with_get_or_read=True,
block_transfer_with_set_or_write=True,
block_transfer_with_action=True,
multiple_references=True,
data_notification=False,
access=False,
get=True,
set=True,
selective_access=True,
event_notification=False,
action=True,
),
proposed_quality_of_service=0,
client_max_receive_pdu_size=65535,
proposed_dlms_version_number=6,
response_allowed=True,
dedicated_key=None,
)
),
)
assert aarq.to_bytes() == resulting_bytes
def test_parse_no_ciphering_no_sercurity(self):
data = b"`\x1d\xa1\t\x06\x07`\x85t\x05\x08\x01\x01\xbe\x10\x04\x0e\x01\x00\x00\x00\x06_\x1f\x04\x00\x00~\x1f\x04\xb0"
aarq = ApplicationAssociationRequestApdu(
system_title=None,
public_cert=None,
authentication=None,
ciphered=False,
authentication_value=None,
user_information=UserInformation(
content=InitiateRequestApdu(
proposed_conformance=Conformance(
general_protection=False,
general_block_transfer=False,
delta_value_encoding=False,
attribute_0_supported_with_set=False,
priority_management_supported=True,
attribute_0_supported_with_get=True,
block_transfer_with_get_or_read=True,
block_transfer_with_set_or_write=True,
block_transfer_with_action=True,
multiple_references=True,
data_notification=False,
access=False,
get=True,
set=True,
selective_access=True,
event_notification=True,
action=True,
),
proposed_quality_of_service=0,
client_max_receive_pdu_size=1200,
proposed_dlms_version_number=6,
response_allowed=True,
dedicated_key=None,
)
),
calling_ae_invocation_identifier=None,
called_ap_title=None,
called_ae_qualifier=None,
called_ap_invocation_identifier=None,
called_ae_invocation_identifier=None,
calling_ap_invocation_identifier=None,
implementation_information=None,
)
assert aarq.to_bytes() == data
def test_encode_no_ciphering_high_security(self):
data = b"`6\xa1\t\x06\x07`\x85t\x05\x08\x01\x01\x8a\x02\x07\x80\x8b\x07`\x85t\x05\x08\x02\x05\xac\n\x80\x08K56iVagY\xbe\x10\x04\x0e\x01\x00\x00\x00\x06_\x1f\x04\x00\x00~\x1f\x04\xb0"
aarq = ApplicationAssociationRequestApdu(
system_title=None,
public_cert=None,
authentication=enumerations.AuthenticationMechanism.HLS_GMAC,
ciphered=False,
authentication_value=b"K56iVagY",
user_information=UserInformation(
content=InitiateRequestApdu(
proposed_conformance=Conformance(
general_protection=False,
general_block_transfer=False,
delta_value_encoding=False,
attribute_0_supported_with_set=False,
priority_management_supported=True,
attribute_0_supported_with_get=True,
block_transfer_with_get_or_read=True,
block_transfer_with_set_or_write=True,
block_transfer_with_action=True,
multiple_references=True,
data_notification=False,
access=False,
get=True,
set=True,
selective_access=True,
event_notification=True,
action=True,
),
proposed_quality_of_service=0,
client_max_receive_pdu_size=1200,
proposed_dlms_version_number=6,
response_allowed=True,
dedicated_key=None,
)
),
calling_ae_invocation_identifier=None,
called_ap_title=None,
called_ae_qualifier=None,
called_ap_invocation_identifier=None,
called_ae_invocation_identifier=None,
calling_ap_invocation_identifier=None,
implementation_information=None,
)
assert aarq.to_bytes() == data
def test_encode_no_ciphering_low_security(self):
data = b"`6\xa1\t\x06\x07`\x85t\x05\x08\x01\x01\x8a\x02\x07\x80\x8b\x07`\x85t\x05\x08\x02\x01\xac\n\x80\x0812345678\xbe\x10\x04\x0e\x01\x00\x00\x00\x06_\x1f\x04\x00\x00~\x1f\x04\xb0"
aarq = ApplicationAssociationRequestApdu(
system_title=None,
public_cert=None,
authentication=enumerations.AuthenticationMechanism.LLS,
ciphered=False,
authentication_value=b"12345678",
user_information=UserInformation(
content=InitiateRequestApdu(
proposed_conformance=Conformance(
general_protection=False,
general_block_transfer=False,
delta_value_encoding=False,
attribute_0_supported_with_set=False,
priority_management_supported=True,
attribute_0_supported_with_get=True,
block_transfer_with_get_or_read=True,
block_transfer_with_set_or_write=True,
block_transfer_with_action=True,
multiple_references=True,
data_notification=False,
access=False,
get=True,
set=True,
selective_access=True,
event_notification=True,
action=True,
),
proposed_quality_of_service=0,
client_max_receive_pdu_size=1200,
proposed_dlms_version_number=6,
response_allowed=True,
dedicated_key=None,
)
),
calling_ae_invocation_identifier=None,
called_ap_title=None,
called_ae_qualifier=None,
called_ap_invocation_identifier=None,
called_ae_invocation_identifier=None,
calling_ap_invocation_identifier=None,
implementation_information=None,
)
assert aarq.to_bytes() == data
| 46.019455
| 278
| 0.597869
| 1,169
| 11,827
| 5.775021
| 0.154833
| 0.031107
| 0.017775
| 0.023108
| 0.828766
| 0.799882
| 0.797511
| 0.787735
| 0.776329
| 0.769219
| 0
| 0.10569
| 0.332798
| 11,827
| 256
| 279
| 46.199219
| 0.749842
| 0.020293
| 0
| 0.781116
| 0
| 0.030043
| 0.136799
| 0.131618
| 0
| 0
| 0
| 0
| 0.107296
| 1
| 0.042918
| false
| 0
| 0.017167
| 0
| 0.06867
| 0.021459
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fad81ad2fe9b0cf167ae4f3c9794025ce8d5e063
| 1,150
|
py
|
Python
|
tests/monitor/fixtures/alert_status.py
|
proofdock/chaos-azure
|
85302f8be18153862656c587988eafb5dd37ddf7
|
[
"Apache-2.0"
] | 1
|
2021-04-24T20:01:54.000Z
|
2021-04-24T20:01:54.000Z
|
tests/monitor/fixtures/alert_status.py
|
proofdock/chaos-azure
|
85302f8be18153862656c587988eafb5dd37ddf7
|
[
"Apache-2.0"
] | 23
|
2020-05-22T06:43:14.000Z
|
2021-02-25T21:02:28.000Z
|
tests/monitor/fixtures/alert_status.py
|
proofdock/chaos-azure
|
85302f8be18153862656c587988eafb5dd37ddf7
|
[
"Apache-2.0"
] | null | null | null |
def healthy():
return {
"value": [
{
"id": "/subscriptions/00000000-000-0000-0000-000000000000/resourceGroups/rgname/providers/Microsoft"
".Insights/metricAlerts/metricnamexx",
"name": "Y3VycmVudFN0YXR1cw==",
"type": "Microsoft.Insights/metricAlerts/status",
"properties": {
"dimensions": {},
"status": "Healthy",
"timestamp": "2020-09-16T03:27:41.803534Z"
}
}
]
}
def unhealthy():
return {
"value": [
{
"id": "/subscriptions/00000000-000-0000-0000-000000000000/resourceGroups/rgname/providers/Microsoft"
".Insights/metricAlerts/metricnamexx",
"name": "Y3VycmVudFN0YXR1cw==",
"type": "Microsoft.Insights/metricAlerts/status",
"properties": {
"dimensions": {},
"status": "xxx",
"timestamp": "2020-09-16T03:27:41.803534Z"
}
}
]
}
| 32.857143
| 116
| 0.453913
| 72
| 1,150
| 7.25
| 0.444444
| 0.130268
| 0.222222
| 0.099617
| 0.938697
| 0.938697
| 0.938697
| 0.819923
| 0.819923
| 0.819923
| 0
| 0.159763
| 0.412174
| 1,150
| 34
| 117
| 33.823529
| 0.612426
| 0
| 0
| 0.5625
| 0
| 0
| 0.464348
| 0.333913
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0625
| true
| 0
| 0
| 0.0625
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
e20e821f57554591060f517166b3f09ec15ef4a1
| 11,711
|
py
|
Python
|
src/plot_example.py
|
Charamba/Cross-Ratio-Arrays-Shape-Descriptor
|
b252814f54bb11c2519a1bd4d0be3f524faba901
|
[
"Unlicense"
] | 2
|
2021-09-05T15:50:02.000Z
|
2022-01-05T03:10:50.000Z
|
src/plot_example.py
|
Charamba/Cross-Ratio-Arrays-Shape-Descriptor
|
b252814f54bb11c2519a1bd4d0be3f524faba901
|
[
"Unlicense"
] | null | null | null |
src/plot_example.py
|
Charamba/Cross-Ratio-Arrays-Shape-Descriptor
|
b252814f54bb11c2519a1bd4d0be3f524faba901
|
[
"Unlicense"
] | null | null | null |
import matplotlib.pyplot as plt
import DTW
from DTW import *
import Pearson
from LineEstimation import *
fig,ax = plt.subplots(1)
ax.set_yticklabels([])
#spectre1 = [38.0000, 68.0000, 5.0000, 52.0000, 69.0000, 92.0000, 137.0000, 30.0000, 97.0000, 79.0000, 107.0000]
#spectre2 = [32.6956, 55.5428, 7.6158, 44.3847, 56.8595, 76.5572, 111.0856, 26.0000, 126.8484, 79.3293, 82.0884]
#spectre1 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 16, 16, 16, 16, 16, 18, 18, 18, 18, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 20, 20, 20, 20, 14, 14, 14, 18, 18, 18, 18, 18, 14, 14, 14, 14, 14, 14, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 16, 16, 18, 19, 19, 20, 20, 20, 20, 18, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 16, 16, 16, 16, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 12, 12, 12, 12, 12, 12, 14, 12, 12, 12, 14, 12, 12, 14, 16, 14, 12, 14, 16, 14, 12, 14, 14, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4]
#spectre2 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 18, 16, 16, 16, 18, 18, 18, 18, 16, 16, 16, 14, 14, 14, 14, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 14, 16, 16, 16, 16, 18, 16, 20, 20, 20, 18, 16, 16, 16, 16, 16, 16, 16, 16, 16, 19, 19, 19, 20, 20, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 16, 16, 16, 16, 16, 10, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 14, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14, 14, 14, 12, 12, 12, 14, 14, 14, 14, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4]
#spectre1 = [0, 0, 0, 0, 18, 16, 16, 16, 18, 18, 18, 16, 16, 16, 16, 20, 20, 20, 14, 14, 14, 18, 18, 18, 18, 18, 14, 14, 14, 14, 14, 14, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 16, 16, 18, 19, 19, 20, 20, 20, 20, 18, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 16, 16, 16, 16, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 14, 12, 12, 12, 12, 12, 12, 12, 12, 12, 14, 12, 12, 14, 16, 14, 12, 14, 22, 14, 12, 14, 14, 10, 10, 10, 10, 10, 10, 10, 10, 10, 0, 0, 0, 0]
#spectre2 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 16, 16, 16, 16, 18, 18, 18, 18, 16, 16, 16, 16, 16, 16, 16, 20, 20, 20, 20, 14, 14, 14, 18, 18, 18, 18, 14, 14, 14, 14, 14, 16, 16, 16, 16, 16, 16, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 16, 16, 18, 19, 19, 20, 20, 20, 20, 18, 20, 20, 20, 20, 20, 20, 20, 16, 16, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 12, 12, 12, 12, 12, 14, 12, 12, 12, 14, 12, 12, 14, 16, 14, 12, 14, 22, 14, 12, 14, 14, 10, 10, 10, 10, 10, 10, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
spectre1 = [0, 0, 0, 9, 2, 2, 2, 7, 7, 0] #[0, 0, 0, 8, 6, 6, 6, 6, 3, 3, 10, 3, 3, 0, 0, 0]
spectre2 = [0, 0, 9, 2, 2, 7, 7, 0] #[0, 0, 8, 6, 6, 6, 3, 3, 10, 3, 3, 0, 0]
# Acessible symbol
# spectre1 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 5, 5, 5, 5, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 6, 7, 6, 6, 6, 9, 10, 8, 8, 8, 10, 8, 10, 8, 13, 7, 5, 4, 4, 4, 4]
# spectre2 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 5, 5, 5, 5, 5, 5, 5, 5, 5, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 6, 7, 6, 6, 6, 9, 8, 8, 8, 10, 10, 8, 8, 10, 13, 7, 5, 4, 4, 4, 4]
# sagitario
# spectre1 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 14, 26, 24, 24, 26, 26, 12, 14, 10, 10, 6, 6, 6, 6, 6, 8, 4, 4, 4, 4, 4, 4, 4]
# spectre2 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 6, 14, 26, 24, 24, 26, 26, 12, 14, 10, 10, 6, 6, 6, 8, 6, 6, 4, 4, 4, 4, 4, 4, 4]
spectre1 = [0, 0, 8, 0, 0, 6, 0, 8, 0, 0, 0, 0, 0, 0, 6, 4, 0]
spectre2 = [1, 1, 8, 1, 6, 1, 8, 1, 1, 1, 1, 1, 1, 6, 4, 1, 1]#[0, 0, 8, 0, 6, 0, 8, 0, 0, 0, 0, 0, 0, 6, 4, 0, 0]
spectre1 = [0,0,0,0,0,0,0,0,0,0,0,0, 8, 6, 8, 6, 4]
spectre2 = [1,1,1,1,1,1,1,1,1,1,1,1, 8, 6, 8, 6, 4]
leastSquares(points, weighted=False)
# spectre2 = spectre1
#spectre2 = [8, 6, 8, 6, 4]
offset_1 = 0
offset_2 = 10
spectre1_ = []
for s1 in spectre1:
spectre1_.append(s1+offset_1)
spectre2_ = []
for s2 in spectre2:
spectre2_.append(s2+offset_2)
#spectre = [0, 0, 0, 0, 0, 5, 14, 12, 14, 12, 10, 12, 42, 32, 26, 24, 28, 6, 6, 6, 8, 6, 4, 4, 4, 4, 4, 4, 4, 4, 6, 4]
#plt.axis('off')
costBinFunct = costFunctionBinary()
dtw = DTW(spectre1, spectre2)#, costBinFunct)
dtw.equalityLengthSpectres()
print("DTW default distance: ", dtw.distance())
P = dtw.findOptmPath2()
print("Path: ", P)
M = [[]]*dtw.m
for i in range(0, dtw.m):
M[i] = [1]*dtw.n
# TERMO_A_TERMO
for i in range(len(spectre1_)):
x_1 = i
x_2 = i
y_1 = spectre1_[i]
y_2 = spectre2_[i]
gray = 0.65
plt.plot([x_1, x_2], [y_1, y_2], color=(gray, gray, gray), linestyle=":", linewidth=2.0) # color=(0.5, 1.0, 0.5)
# for tp in P:
# (i, j) = tp
# M[i][j] = 0
# x_1 = i
# x_2 = j
# y_1 = spectre1_[i]
# y_2 = spectre2_[j]
# gray = 0.65
# plt.plot([x_1, x_2], [y_1, y_2], color=(gray, gray, gray), linestyle=":", linewidth=2.0) # color=(0.5, 1.0, 0.5)
print("M:")
print(dtw.M)
for i in range(0, dtw.m):
print(dtw.M[i])
for i in range(0, dtw.m):
print(M[i])
plt.rc('grid', linestyle=":", color='black')
plt.grid(False)
plt.plot(spectre1_, linewidth=2.0)
plt.plot(spectre1_, color='b', marker='o')
plt.plot(spectre2_, color='r', linewidth=2.0)
plt.plot(spectre2_, color='r', marker='o')
plt.show()
| 103.637168
| 1,752
| 0.427205
| 3,311
| 11,711
| 1.500151
| 0.035639
| 0.471109
| 0.692168
| 0.910006
| 0.822629
| 0.799477
| 0.792833
| 0.772901
| 0.765049
| 0.752768
| 0
| 0.473138
| 0.284775
| 11,711
| 113
| 1,753
| 103.637168
| 0.119866
| 0.868414
| 0
| 0.058824
| 0
| 0
| 0.030464
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.098039
| 0
| 0.098039
| 0.117647
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 15
|
3556109877ce232e10c4da9666e78c5a20408e22
| 4,120
|
py
|
Python
|
tests/expected/unicode_aliases.py
|
voetsjoeba/pyjks
|
b9b4cd9878ed325f2beef30ad4195d880d02187c
|
[
"MIT"
] | 1
|
2017-07-18T22:34:52.000Z
|
2017-07-18T22:34:52.000Z
|
tests/expected/unicode_aliases.py
|
voetsjoeba/pyjks
|
b9b4cd9878ed325f2beef30ad4195d880d02187c
|
[
"MIT"
] | null | null | null |
tests/expected/unicode_aliases.py
|
voetsjoeba/pyjks
|
b9b4cd9878ed325f2beef30ad4195d880d02187c
|
[
"MIT"
] | null | null | null |
certs = [b"\x30\x82\x01\xc0\x30\x82\x01\x29\xa0\x03\x02\x01\x02\x02\x01\x00\x30\x0d\x06\x09\x2a\x86\x48\x86\xf7\x0d\x01\x01\x0b\x05\x00\x30" + \
b"\x26\x31\x18\x30\x16\x06\x03\x55\x04\x03\x0c\x0f\x75\x6e\x69\x63\x6f\x64\x65\x5f\x61\x6c\x69\x61\x73\x65\x73\x31\x0a\x30\x08\x06" + \
b"\x03\x55\x04\x0a\x0c\x01\x31\x30\x1e\x17\x0d\x31\x37\x30\x37\x31\x36\x31\x34\x34\x38\x30\x36\x5a\x17\x0d\x31\x39\x30\x37\x31\x36" + \
b"\x31\x34\x34\x38\x30\x36\x5a\x30\x26\x31\x18\x30\x16\x06\x03\x55\x04\x03\x0c\x0f\x75\x6e\x69\x63\x6f\x64\x65\x5f\x61\x6c\x69\x61" + \
b"\x73\x65\x73\x31\x0a\x30\x08\x06\x03\x55\x04\x0a\x0c\x01\x31\x30\x81\x9f\x30\x0d\x06\x09\x2a\x86\x48\x86\xf7\x0d\x01\x01\x01\x05" + \
b"\x00\x03\x81\x8d\x00\x30\x81\x89\x02\x81\x81\x00\xcf\x01\xe5\x79\xc8\x35\x28\xcb\x1c\xcc\x57\x4d\xcd\xd0\xf0\x5b\xcb\x7b\x43\x3e" + \
b"\xbf\xf7\x4b\xad\x9b\x8f\x2f\x9f\x06\xa4\xc2\x92\x67\x87\x1e\x6e\xe0\x9d\xff\xd5\xa9\x5c\x39\x12\xd7\x0c\xd6\xd6\xa3\xb9\xed\xb8" + \
b"\x45\x2e\x1e\xc2\x16\xbf\xb0\x29\xdd\x97\x48\x36\x7b\xe8\x12\x19\xf4\xe0\xc0\xb5\x1e\x42\x91\xfc\x5c\xff\x49\x9d\x11\x59\x14\x1c" + \
b"\xfa\xe8\x8b\x81\x06\x3b\x8e\xf4\xef\xf7\x88\x1b\x5b\x3f\x2c\x6d\x53\x6d\x03\x8f\x66\x44\xff\x45\x1a\x33\xc8\x19\xb0\x31\xa0\xe9" + \
b"\x1c\x32\xa4\xda\xd2\x67\x5f\x58\x9b\x7e\x85\xb5\x02\x03\x01\x00\x01\x30\x0d\x06\x09\x2a\x86\x48\x86\xf7\x0d\x01\x01\x0b\x05\x00" + \
b"\x03\x81\x81\x00\x87\x06\x75\xac\x9d\x62\x6f\xfc\x7f\xeb\x2b\x14\x50\xa6\xf2\x2f\xab\x11\x4c\x5b\xc0\xb0\xfd\xc1\x98\xde\xbb\x58" + \
b"\x1d\xd7\x12\x39\x3d\x83\xf3\xed\xca\x45\x4c\x30\x06\x13\xe9\x36\x9e\x2e\x34\xe2\x70\x1d\x46\x5d\x13\xa7\x80\x62\x88\xe7\xfe\x36" + \
b"\x52\x21\x5d\xe4\x06\x2e\x2d\xc3\xf6\x22\xbc\x74\x10\x57\x66\x17\x85\x93\xc9\x11\xba\xbe\x1d\xbb\xf5\x44\x3e\x6b\x46\x86\xca\x7c" + \
b"\xc9\x43\xc3\x90\xe6\x9e\x42\x13\x97\x72\xa7\x18\xf9\x64\x99\x7b\xf6\x37\xdd\x09\xd0\xb8\x7f\x72\x5d\x2f\xd6\x36\x9c\xfd\x93\xf9" + \
b"\x82\x4c\xe6\xa9",
b"\x30\x82\x01\xc0\x30\x82\x01\x29\xa0\x03\x02\x01\x02\x02\x01\x00\x30\x0d\x06\x09\x2a\x86\x48\x86\xf7\x0d\x01\x01\x0b\x05\x00\x30" + \
b"\x26\x31\x18\x30\x16\x06\x03\x55\x04\x03\x0c\x0f\x75\x6e\x69\x63\x6f\x64\x65\x5f\x61\x6c\x69\x61\x73\x65\x73\x31\x0a\x30\x08\x06" + \
b"\x03\x55\x04\x0a\x0c\x01\x32\x30\x1e\x17\x0d\x31\x37\x30\x37\x31\x36\x31\x34\x34\x38\x30\x37\x5a\x17\x0d\x31\x39\x30\x37\x31\x36" + \
b"\x31\x34\x34\x38\x30\x37\x5a\x30\x26\x31\x18\x30\x16\x06\x03\x55\x04\x03\x0c\x0f\x75\x6e\x69\x63\x6f\x64\x65\x5f\x61\x6c\x69\x61" + \
b"\x73\x65\x73\x31\x0a\x30\x08\x06\x03\x55\x04\x0a\x0c\x01\x32\x30\x81\x9f\x30\x0d\x06\x09\x2a\x86\x48\x86\xf7\x0d\x01\x01\x01\x05" + \
b"\x00\x03\x81\x8d\x00\x30\x81\x89\x02\x81\x81\x00\xcf\x01\xe5\x79\xc8\x35\x28\xcb\x1c\xcc\x57\x4d\xcd\xd0\xf0\x5b\xcb\x7b\x43\x3e" + \
b"\xbf\xf7\x4b\xad\x9b\x8f\x2f\x9f\x06\xa4\xc2\x92\x67\x87\x1e\x6e\xe0\x9d\xff\xd5\xa9\x5c\x39\x12\xd7\x0c\xd6\xd6\xa3\xb9\xed\xb8" + \
b"\x45\x2e\x1e\xc2\x16\xbf\xb0\x29\xdd\x97\x48\x36\x7b\xe8\x12\x19\xf4\xe0\xc0\xb5\x1e\x42\x91\xfc\x5c\xff\x49\x9d\x11\x59\x14\x1c" + \
b"\xfa\xe8\x8b\x81\x06\x3b\x8e\xf4\xef\xf7\x88\x1b\x5b\x3f\x2c\x6d\x53\x6d\x03\x8f\x66\x44\xff\x45\x1a\x33\xc8\x19\xb0\x31\xa0\xe9" + \
b"\x1c\x32\xa4\xda\xd2\x67\x5f\x58\x9b\x7e\x85\xb5\x02\x03\x01\x00\x01\x30\x0d\x06\x09\x2a\x86\x48\x86\xf7\x0d\x01\x01\x0b\x05\x00" + \
b"\x03\x81\x81\x00\x09\xde\xd0\xb6\x4b\x0c\x36\x59\x45\xf7\x21\x23\x94\x19\x03\xda\xad\x7d\x5e\xdf\x23\x9b\x80\x51\xc6\xa2\x82\xe0" + \
b"\xad\xb0\x51\x3f\x4a\xce\xee\xe9\x4c\x87\x9f\xd5\x28\x49\x1b\xa9\x7d\xa3\xdd\xd8\x5e\xe0\xcb\x5d\x92\x6b\x7d\x05\x4a\xf4\x77\xc6" + \
b"\x16\x25\xce\xe4\xbf\x31\x04\x43\xb1\x0e\x7f\xf8\x94\x3a\xc0\x16\xfe\xdb\x02\x34\x1c\xbb\x7e\xa1\x3b\xb7\x85\xc6\x09\xf0\xfd\x60" + \
b"\xdd\x06\xe7\x20\x3c\x2d\xf2\x07\x8e\x2c\xee\xa8\xfd\xf0\x1e\x3c\xc7\x1d\x5d\x48\x0a\xd6\xb7\x2f\xa8\xf7\x24\xc5\xe6\x9a\xef\x9c" + \
b"\xff\x36\xf1\xc3"]
| 132.903226
| 144
| 0.666748
| 935
| 4,120
| 2.937968
| 0.233155
| 0.017474
| 0.02621
| 0.02621
| 0.71569
| 0.71569
| 0.71569
| 0.711321
| 0.706953
| 0.706953
| 0
| 0.349509
| 0.084709
| 4,120
| 30
| 145
| 137.333333
| 0.378945
| 0
| 0
| 0.4
| 0
| 0.933333
| 0.87767
| 0.869903
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
35aad249fb5678b77b1a210d3653d8f4ce8848cc
| 30
|
py
|
Python
|
lib/python3.7/site-packages/gatco/blueprints.py
|
teomoney1999/ACT_gatco_project
|
a804a6348efeab90f3114606cfbc73aaebab63e1
|
[
"MIT"
] | 1
|
2019-08-04T13:12:09.000Z
|
2019-08-04T13:12:09.000Z
|
lib/python3.7/site-packages/gatco/blueprints.py
|
teomoney1999/ACT_gatco_project
|
a804a6348efeab90f3114606cfbc73aaebab63e1
|
[
"MIT"
] | 2
|
2019-04-03T02:59:28.000Z
|
2019-04-03T03:00:43.000Z
|
lib/python3.7/site-packages/gatco/blueprints.py
|
teomoney1999/ACT_gatco_project
|
a804a6348efeab90f3114606cfbc73aaebab63e1
|
[
"MIT"
] | 4
|
2019-04-01T23:58:19.000Z
|
2021-07-12T03:10:09.000Z
|
from sanic.blueprints import *
| 30
| 30
| 0.833333
| 4
| 30
| 6.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 30
| 1
| 30
| 30
| 0.925926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 7
|
35d4801f71d919fa8eca9a567bf0ec43908294f7
| 11,033
|
py
|
Python
|
tests/test_factory.py
|
dom-o/hangboard-helper
|
d4d4da98490bb01f2743cf474bb8dd333ef971ea
|
[
"MIT"
] | null | null | null |
tests/test_factory.py
|
dom-o/hangboard-helper
|
d4d4da98490bb01f2743cf474bb8dd333ef971ea
|
[
"MIT"
] | null | null | null |
tests/test_factory.py
|
dom-o/hangboard-helper
|
d4d4da98490bb01f2743cf474bb8dd333ef971ea
|
[
"MIT"
] | null | null | null |
from application.utils import factory
from testing_config import BaseTestConfig
class TestFactory(BaseTestConfig):
def test_get_next(self):
self.maxDiff = None
weights = {
"pre": "0.9*X",
"session": ["x"],
"set":[["0.65*X", "0.75*X", "0.85*X"],
["0.7*X", "0.8*X", "0.9*X"],
["0.75*X", "0.85*X", "0.95*X"],
["0.4*X", "0.5*X", "0.6*X"]],
"rep": [["0+X"]]
}
times = {
"session": [],
"set":[[180, 150]],
"rep":[[[10,6,2], [5,3,1]], [[6,2], [3,1]], [[2],[1]]]
}
freqs = {
"session": [2, 2, 2, 1],
"set":[3],
"rep":[3,2,2]
}
gen = factory.get_next(111.111111111111111111111111111111111, weights, times, freqs)
expected_sessions = [{
'sets': [{
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 65.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 65.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 65.0
}], 'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 75.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 75.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 75.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 85.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 85.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 85.0
}],
'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 65.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 65.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 65.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 75.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 75.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 75.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 85.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 85.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 85.0
}],
'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 70.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 70.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 80.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 80.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 90.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 90.0
}],
'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 70.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 70.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 80.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 80.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 90.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 90.0
}],
'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 75.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 75.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 85.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 85.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 95.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 95.0
}],
'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 75.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 75.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 85.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 85.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 95.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 95.0
}], 'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 40.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 40.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 40.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 50.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 50.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 50.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 10, 'ordinal': 0, 'time_off': 5, 'weight': 60.0
}, {
'time_on': 6, 'ordinal': 1, 'time_off': 3, 'weight': 60.0
}, {
'time_on': 2, 'ordinal': 2, 'time_off': 1, 'weight': 60.0
}],
'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 65.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 65.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 75.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 75.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 85.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 85.0
}],
'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 65.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 65.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 75.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 75.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 6, 'ordinal': 0, 'time_off': 3, 'weight': 85.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 85.0
}],
'rest': 180, 'ordinal': 2
}]
}, {
'sets': [{
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 70.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 70.0
}],
'rest': 180, 'ordinal': 0
}, {
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 80.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 80.0
}],
'rest': 150, 'ordinal': 1
}, {
'reps': [{
'time_on': 2, 'ordinal': 0, 'time_off': 1, 'weight': 90.0
}, {
'time_on': 2, 'ordinal': 1, 'time_off': 1, 'weight': 90.0
}],
'rest': 180, 'ordinal': 2
}]
}]
for expected in expected_sessions:
self.assertEqual(next(gen), expected)
def test_calc_weight(self):
curr_weight = 180
weights = ["X+1", "X-10", "X*0.75", "X/3", "x+(X*0.04)"]
expected_weights = [181, 171, 128.25, 42.75, 44.46]
for weight, expected in zip(weights, expected_weights):
curr_weight = factory.calc_weight(curr_weight, weight)
self.assertEqual(curr_weight, expected)
| 38.176471
| 92
| 0.326566
| 1,091
| 11,033
| 3.162236
| 0.068744
| 0.12
| 0.07913
| 0.158261
| 0.823478
| 0.82
| 0.82
| 0.82
| 0.814203
| 0.814203
| 0
| 0.117843
| 0.483912
| 11,033
| 288
| 93
| 38.309028
| 0.488058
| 0
| 0
| 0.825623
| 0
| 0
| 0.232484
| 0
| 0
| 0
| 0
| 0
| 0.007117
| 1
| 0.007117
| false
| 0
| 0.007117
| 0
| 0.017794
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
35dce1815e17b4ba88d39de3e24ac4acd15cda38
| 28
|
py
|
Python
|
randomstate/prng/mlfg_1279_861/__init__.py
|
bashtage/ng-numpy-randomstate
|
b397db9cb8688b291fc40071ab043009dfa05a85
|
[
"Apache-2.0",
"BSD-3-Clause"
] | 43
|
2016-02-11T03:38:16.000Z
|
2022-02-03T10:00:15.000Z
|
randomstate/prng/mlfg_1279_861/__init__.py
|
bashtage/pcg-python
|
b397db9cb8688b291fc40071ab043009dfa05a85
|
[
"Apache-2.0",
"BSD-3-Clause"
] | 31
|
2015-12-26T19:47:36.000Z
|
2018-12-10T15:55:46.000Z
|
randomstate/prng/mlfg_1279_861/__init__.py
|
bashtage/ng-numpy-randomstate
|
b397db9cb8688b291fc40071ab043009dfa05a85
|
[
"Apache-2.0",
"BSD-3-Clause"
] | 11
|
2016-04-28T02:00:38.000Z
|
2020-08-07T10:33:10.000Z
|
from .mlfg_1279_861 import *
| 28
| 28
| 0.821429
| 5
| 28
| 4.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.28
| 0.107143
| 28
| 1
| 28
| 28
| 0.56
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
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| 0
| 0
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| 1
| 0
| 0
| 1
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| null | 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
5766ece3afa5c3505069c57b78881145e4a0e45d
| 29,269
|
py
|
Python
|
discordbot.py
|
markbasser/rains
|
10f8729f3b6cd24d07b783cde66321272f254e23
|
[
"MIT"
] | null | null | null |
discordbot.py
|
markbasser/rains
|
10f8729f3b6cd24d07b783cde66321272f254e23
|
[
"MIT"
] | null | null | null |
discordbot.py
|
markbasser/rains
|
10f8729f3b6cd24d07b783cde66321272f254e23
|
[
"MIT"
] | null | null | null |
from discord.ext import commands
from discord.ext import tasks
import os
import traceback
import discord
from datetime import datetime
token = os.environ['DISCORD_BOT_TOKEN']
CHANNEL_ID =741553045481062461 #チャンネルID
# 接続に必要なオブジェクトを生成
client = discord.Client()
@client.event
async def on_ready():
"""起動時に通知してくれる処理"""
print('ログインしました')
print(client.user.name) # ボットの名前
print(client.user.id) # ボットのID
print(discord.__version__) # discord.pyのバージョン
print('------')
# 60秒に一回ループ
@tasks.loop(seconds=60)
async def loop():
# 現在の時刻
now = datetime.now().strftime('%H:%M')
if now == '00:25':
channel = client.get_channel(CHANNEL_ID)
await channel.send('How are UZURAS<:uzu:699374038220538006>BOT doing today?<:uzu2:700858786960900117>.....<:uzu1:700858878879072303>‼')
if now == '00:29':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@everyone Mornin!Rain☔ is 1min later.<:good01:699581068285706301>')
if now == '00:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:good01:699581068285706301><:gm:699792760651120671><:JPYNdisco:698471276498649168>')
if now == '00:31':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 77 ActiveUserOnly <:good01:699581068285706301><:gm:699792760651120671><:BGPT02:698471366004965406> ')
if now == '00:32':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.1 ActiveUserOnly <:good01:699581068285706301><:gm:699792760651120671><:benkeicoinsl:698471387064696833>')
if now == '00:33':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 100 ActiveUserOnly <:good01:699581068285706301><:gm:699792760651120671><:JPYNdisco:698471276498649168>')
if now == '00:34':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 100 ActiveUserOnly <:good01:699581068285706301><:gm:699792760651120671><:JPYNdisco:698471276498649168>')
if now == '00:35':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 50 ActiveUserOnly <:good01:699581068285706301><:gm:699792760651120671><:BGPT02:698471366004965406> ')
if now == '00:37':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.1 ActiveUserOnly <:good01:699581068285706301><:gm:699792760651120671><:benkeicoinsl:698471387064696833>')
if now == '00:28':
channel = client.get_channel(CHANNEL_ID)
await channel.send('🎶')
if now == '00:38':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:heart02:699580174911668225>Okay,later👋')
if now == '01:05':
channel = client.get_channel(CHANNEL_ID)
await channel.send('🥳')
if now == '01:29':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@everyone <:heart02:699580174911668225>are you ready Okay')
if now == '01:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw JPYN 60 15 EquallyDistributed <:good01:699581068285706301><:JPYNdisco:698471276498649168>⚾Plz receive→/catch')
if now == '01:31':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw BGPT 77.5 15 AttenuationDistributed <:BGPT02:698471366004965406><:good:699580636448423936>⚾Plz receive→/catch')
if now == '01:32':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw BEN 0.1 15 AttenuationDistributed <:BENKEICOIN04:698471407650209832><:benkeicoinsl:698471387064696833>⚾Plz receive→/catch')
if now == '01:38':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:good01:699581068285706301> Okay,later👋')
if now == '01:59':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.1 ActiveUserOnly <:good01:699581068285706301>🌈 <:benkeicoinsl:698471387064696833> ')
if now == '02:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly 🌈 <:JPYNdisco:698471276498649168> ')
if now == '02:58':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701767349828714606/hg.png ')
if now == '02:59':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:suika_paku:699072728153587782> Im hungry!I want to eat meat🍖🍗29coin?!')
if now == '03:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw 29coin 29292.929 5 EquallyDistributed 🍖🍗Plz receive→/catch<:hai_kao:699072592987947117>29meat🍖🍗')
if now == '03:13':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:guru:699579775500681246>💦I’m so full that I can’t breathe.🍖🍗!Sorry....ww')
if now == '03:14':
channel = client.get_channel(CHANNEL_ID)
await channel.send('Plz.<:kanngaeru:699072662382837881> give me?【/tip 29coin *** @🌈Rains☔ 】Tip🍖')
if now == '03:15':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:goo1:721561872352018522> ☑🥩29coin tip please. If you tip 29coins of 10000 or 100000, in return, I will tip JPNY COIN for a while!【/tip 29coin <@700176826282147851>】')
if now == '03:25':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701767323304067133/hty.png ')
if now == '03:26':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:goo1:721561872352018522> Thank you! for the MeatCoin🥩29coin<:ty:699857337980026930>Tip! Will eat later.🍖')
if now == '03:27':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain KENJ 50 ActiveUserOnly ☔<:kenj:700136543003607101>')
if now == '03:28':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://cdn.discordapp.com/attachments/701765831268368474/701767123252543498/iku.png')
if now == '03:29':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@everyone <:hello:699779689127870514> Rain☔ is 1min later.<:good01:699581068285706301>✨')
if now == '03:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 10 ActiveUserOnly 🌈 <:BGPT02:698471366004965406>')
if now == '03:32':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.77 ActiveUserOnly 🌈 <:BENKEICOIN04:698471407650209832> ')
if now == '03:34':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 77.7 ActiveUserOnly 🌈 <:JPYNdisco:698471276498649168> ')
if now == '03:36':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain KENJ 111.11 ActiveUserOnly ☔<:kenj:700136543003607101>')
if now == '03:38':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw JPYN 300 30 EquallyDistributed <:JPYNdisco:698471276498649168><:JPYNdisco:698471276498649168><:JPYNdisco:698471276498649168>Pls receive→/catch')
if now == '03:40':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw BGPT 600 30 EquallyDistributed <:good01:699581068285706301><:BGPT02:698471366004965406><:BGPT02:698471366004965406><:BGPT02:698471366004965406>Pls receive→/catch')
if now == '03:42':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw BEN 0.3 30 AttenuationDistributed <:BENKEICOIN04:698471407650209832><:benkeicoinsl:698471387064696833>⚾Plz receive→/catch')
if now == '03:44':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701767323304067133/hty.png')
if now == '03:45':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:bye:699863270802325604>See you!またね👋')
if now == '04:31':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701775150743289956/migi.png ')
if now == '04:37':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@here 👆/catch<:kaokanga:699072678614663210>? See you later!')
if now == '04:40':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly 🌈 <:JPYNdisco:698471276498649168> ')
if now == '05:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:rain:699585875687899247><:JPYNdisco:698471276498649168><:hello:699779689127870514>')
if now == '05:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain kenj 200 ActiveUserOnly ☔<:kenj:700136543003607101>')
if now == '05:31':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://cdn.discordapp.com/attachments/701765831268368474/701767323304067133/hty.png ')
if now == '06:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:rain:699585875687899247><:JPYNdisco:698471276498649168><:hello1:713004241131667528>')
if now == '06:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.3 ActiveUserOnly <:rain:699585875687899247><:BENKEICOIN04:698471407650209832><:benkeicoinsl:698471387064696833>')
if now == '07:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:rain:699585875687899247><:JPYNdisco:698471276498649168> ')
if now == '07:20':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:cafe:699769671234355230>Good morning 🌎everyone.<:gm:699792760651120671>Have a nice day today! [omikuji] or [fortune] ← for today is fortune🔮Command')
if now == '07:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 7.77 ActiveUserOnly <:good01:699581068285706301><:rain:699585875687899247><:BGPT02:698471366004965406> ')
if now == '08:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:rain:699585875687899247><:JPYNdisco:698471276498649168><:hello1:713004241131667528>')
if now == '08:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:suika_paku:699072728153587782> hungry! I want to eat meat again! Meat🥩, meat🍖, meat!🍗肉29coin?!hehe')
if now == '08:31':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw 29coin 146460 5 EquallyDistributed 🍖meat!meat!🍗Plz receive→/catch<:hai_kao:699072592987947117>29meat!肉！🥩')
if now == '08:45':
channel = client.get_channel(CHANNEL_ID)
await channel.send('🥴💦Tummy full. ate too much. The meat is gone!🥩🥩🥩!Sorry..hehe..ww')
if now == '08:46':
channel = client.get_channel(CHANNEL_ID)
await channel.send('Plz.<:kanngaeru:699072662382837881>I am hungry again, so give me 【/tip 29coin *** @🌈Rains☔ 】[meatcoin]Tip🍖')
if now == '08:47':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:good01:699581068285706301> ☑🥩29coin tip please. If you tip 29coins of 10000 or 100000, in return, I will tip JPNY COIN for a while!【/tip 29coin <@700176826282147851>】')
if now == '09:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701767323304067133/hty.png ')
if now == '09:25':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:goo1:721561872352018522> Thank you!for the MeatCoin(29coin)Tip! I will eat meat again tomorrow.🍖<:ty:699857337980026930>')
if now == '09:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:good01:699581068285706301><:rain:699585875687899247><:JPYNdisco:698471276498649168> ')
if now == '09:55':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:niko_shita:699072695823892561>Plz.Meat.Meat.beef?pork?chicken?mutton?29Tip🍖')
if now == '09:57':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701767349828714606/hg.png ')
if now == '10:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:aloha:699581550777597992>Hello,how are you❓ ')
if now == '10:29':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@here <:suika_paku:699072728153587782>After 2min, I”ll ☔Rain a little... ')
if now == '10:29':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701767123252543498/iku.png')
if now == '10:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 100 ActiveUserOnly <:good01:699581068285706301><:rain:699585875687899247><:BGPT02:698471366004965406>')
if now == '10:32':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw BEN 0.1 25 EquallyDistributed <:BENKEICOIN04:698471407650209832><:benkeicoinsl:698471387064696833>⚾Plz receive→/catch')
if now == '10:33':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw JPYN 120 25 EquallyDistributed <:good01:699581068285706301><:JPYNdisco:698471276498649168> ⚾Plz receive☞/catch')
if now == '10:34':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw BGPT 200 25 EquallyDistributed <:good01:699581068285706301><:BGPT02:698471366004965406><:BGPT02:698471366004965406><:BGPT02:698471366004965406>Plz receive→/catch')
if now == '10:35':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:cya:699859096794562650>👆/catch')
if now == '10:36':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://cdn.discordapp.com/attachments/701765831268368474/701767323304067133/hty.png ')
if now == '11:24':
channel = client.get_channel(CHANNEL_ID)
await channel.send('👆/catch? <:heart02:699580174911668225>See you sometimes!<:star1:699582964853375018>')
if now == '11:25':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain kenj 100 ActiveUserOnly ☔<:kenj:700136543003607101><:sangras01:699579409220370514>')
if now == '11:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('How are UZURAS Wallet doing Now～!? <:uzu2:700858786960900117>...⚡...<:uzu1:700858878879072303>‼Sorry!')
if now == '12:29':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@everyone <:hello1:713004241131667528> Rain<:rain:699585875687899247>is 1min later.<:good01:699581068285706301>')
if now == '12:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 20 ActiveUserOnly <:rain:699585875687899247><:JPYNdisco:698471276498649168> ')
if now == '12:32':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 77.77 ActiveUserOnly <:rain:699585875687899247><:BGPT02:698471366004965406>')
if now == '12:34':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.5 ActiveUserOnly <:rain:699585875687899247><:BENKEICOIN04:698471407650209832><:benkeicoinsl:698471387064696833> ')
if now == '12:37':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw JPYN 120 12 EquallyDistributed <:JPYNdisco:698471276498649168> ⚾Plz receive☞/catch')
if now == '12:38':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:good01:699581068285706301><:cya:699859096794562650> ')
if now == '12:39':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:good01:699581068285706301> ☑🥩29coin tip please. If you tip 29coins of 10000 or 100000, in return, I will tip JPNY COIN for a while!【/tip 29coin <@700176826282147851>】I want to eat my meat🍖')
if now == '13:14':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701775150743289956/migi.png ')
if now == '13:15':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@everyone 👆/catch ok?<:heart02:699580174911668225>see you!<:star1:699582964853375018>')
if now == '13:16':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701775150743289956/migi.png ')
if now == '13:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@here もうJapanでは深夜就寝前💤?ですよね。todayもあと少しだけRainします。Hello!Rain☔ is 1min later. ')
if now == '13:33':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701767349828714606/hg.png')
if now == '13:34':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.3 ActiveUserOnly <:rain:699585875687899247><:good:699580636448423936> <:BENKEICOIN04:698471407650209832><:benkeicoinsl:698471387064696833> ')
if now == '13:37':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 77.77 ActiveUserOnly <:rain:699585875687899247><:BGPT02:698471366004965406>')
if now == '13:40':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@here <:zzz:699581950356226058><:gn:699792795363311676> JapanのEveryoneはそろそろGoodNight！☔is 30min later👋 コロナには気を付けて！<:corona:699588627868418070>Watch out for corona!→ #┃covid-19🦠news ')
if now == '13:41':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://cdn.discordapp.com/attachments/701765831268368474/701767323304067133/hty.png ')
if now == '13:57':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:hai_kao:699072592987947117><:hai_kao:699072592987947117><:hai_kao:699072592987947117> ')
if now == '14:10':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:good01:699581068285706301><:rain:699585875687899247><:JPYNdisco:698471276498649168><:gn:699792795363311676> ')
if now == '14:13':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw JPYN 180 18 EquallyDistributed <:JPYNdisco:698471276498649168> ⚾Plz receive→/catch')
if now == '14:15':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw BEN 0.8 18 EquallyDistributed <:benkeicoinsl:698471387064696833> ⚾Plz receive→/catch')
if now == '14:17':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/throw KENJ 180 18 EquallyDistributed <:kenj:700136543003607101> ⚾Plz receive→/catch')
if now == '14:19':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:bye:699863270802325604>See you! ')
if now == '15:29':
channel = client.get_channel(CHANNEL_ID)
await channel.send('@here 👆/catch?<:aloha:699581550777597992> <:ex_now:736528729949601823> ')
if now == '15:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 10 ActiveUserOnly <:good01:699581068285706301><:BGPT02:698471366004965406> <:rain:699585875687899247><:gn:699792795363311676> ')
if now == '15:40':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701775150743289956/migi.png ')
if now == '16:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain kenj 50 ActiveUserOnly ☔<:kenj:700136543003607101> ')
if now == '16:55':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 77.7 ActiveUserOnly <:rain:699585875687899247><:BGPT02:698471366004965406>')
if now == '17:40':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:good01:699581068285706301>🌈<:JPYNdisco:698471276498649168><:rain:699585875687899247>')
if now == '18:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain kenj 50 ActiveUserOnly ☔<:kenj:700136543003607101> ')
if now == '18:47':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://media.discordapp.net/attachments/701765831268368474/701775150743289956/migi.png ')
if now == '19:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.3 ActiveUserOnly <:BENKEICOIN04:698471407650209832><:good01:699581068285706301><:rain:699585875687899247> ')
if now == '20:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('<:cafe:699769671234355230><:gm:699792760651120671>')
if now == '20:40':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 5 ActiveUserOnly 🌈 <:JPYNdisco:698471276498649168> ')
if now == '21:29':
channel = client.get_channel(CHANNEL_ID)
await channel.send('https://cdn.discordapp.com/attachments/701765831268368474/701767349828714606/hg.png ')
if now == '21:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BGPT 50 ActiveUserOnly <:good01:699581068285706301><:BGPT02:698471366004965406> <:rain:699585875687899247>')
if now == '22:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 10 ActiveUserOnly <:good01:699581068285706301>🌈<:JPYNdisco:698471276498649168>HelloAll⭐')
if now == '22:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('Dear japanese<:cafe:699769671234355230>Everyone🌟おはようございます!<:gm:699792760651120671> Have a nice day today！【おみくじ】←で運勢を')
if now == '23:00':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 20 ActiveUserOnly <:good01:699581068285706301>🌈<:JPYNdisco:698471276498649168>HelloAll⭐')
if now == '23:30':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain BEN 0.5 ActiveUserOnly <:good01:699581068285706301>🌈<:BENKEICOIN04:698471407650209832><:benkeicoinsl:698471387064696833> HelloAll⭐')
if now == '23:58':
channel = client.get_channel(CHANNEL_ID)
await channel.send('/rain JPYN 20 ActiveUserOnly <:good01:699581068285706301>🌈<:JPYNdisco:698471276498649168>HelloAll⭐')
#ループ処理実行
loop.start()
@client.event
async def on_message(message):
"""メッセージを処理"""
if message.author.bot: # ボットのメッセージをハネる
return
if message.content == "<:hello1:713004241131667528> <:hello1:713004241131667528>":
# チャンネルへメッセージを送信
await message.channel.send(f"<:hello1:713004241131667528>") # f文字列（フォーマット済み文字列リテラル）
if message.content == "<:hai_kao:699072592987947117> <:gn:699792795363311676>":
# チャンネルへメッセージを送信
await message.channel.send(f"<:hai_kao:699072592987947117> <:gn:699792795363311676>") # f文字列（フォーマット済み文字列リテラル）
if message.content == "<:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117>":
# チャンネルへメッセージを送信
await message.channel.send(f"<:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117>") # f文字列（フォーマット済み文字列リテラル）
if message.content == "<:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117>":
# チャンネルへメッセージを送信
await message.channel.send(f"<:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117> <:hai_kao:699072592987947117>") # f文字列（フォーマット済み文字列リテラル）
if message.content == "🥳🎉":
# チャンネルへメッセージを送信
await message.channel.send(f"🥳🎉") # f文字列（フォーマット済み文字列リテラル）
if message.content == "ThankYou":
# チャンネルへメッセージを送信
await message.channel.send(f"Dear💛{message.author.mention} 💛 Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "Thank You":
# チャンネルへメッセージを送信
await message.channel.send(f"Dear💚 {message.author.mention} 💚 Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "Thanks":
# チャンネルへメッセージを送信
await message.channel.send(f"Dear💙 {message.author.mention} 💙 Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "thankyou!":
# チャンネルへメッセージを送信
await message.channel.send(f"Dear♥ {message.author.mention}♥. Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "Thank U":
# チャンネルへメッセージを送信
await message.channel.send(f"Dear♥ {message.author.mention}♥. Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "Thank you!!":
# チャンネルへメッセージを送信
await message.channel.send(f"Dear💗 {message.author.mention} 💗 Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "Thanks!!":
# チャンネルへメッセージを送信
await message.channel.send(f"Dear💕 {message.author.mention} 💕 Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "ty!":
# チャンネルへメッセージを送信
await message.channel.send(f"😃 Dear {message.author.mention} Thx! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "Thx":
# チャンネルへメッセージを送信
await message.channel.send(f"😃 Dear {message.author.mention} Thx! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "ありがとう。":
# チャンネルへメッセージを送信
await message.channel.send(f"<:good01:699581068285706301>💚{message.author.mention}さん💚 Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "ありがとうございます。":
# チャンネルへメッセージを送信
await message.channel.send(f"<:good01:699581068285706301>💗{message.author.mention}さん💗 Thank YOU! ") # f文字列（フォーマット済み文字列リテラル）
if message.content == "<:ty:699857337980026930><:hai_kao:699072592987947117>":
# チャンネルへメッセージを送信
await message.channel.send(f"<:ty:699857337980026930><:hai_kao:699072592987947117>") # f文字列（フォーマット済み文字列リテラル）
elif message.content == "r/link":
# リアクションアイコンを付けたい
q = await message.channel.send("/link ")
[await q.add_reaction(i) for i in ('⭕', '❌')] # for文の内包表記
elif message.content == "r/language":
# リアクションアイコンを付けたい
q = await message.channel.send(" /language EN ")
[await q.add_reaction(i) for i in ('⭕', '❌')] # for文の内包表記
elif message.content == "r/accept":
# リアクションアイコンを付けたい
q = await message.channel.send(" /accept ")
[await q.add_reaction(i) for i in ('⭕', '🔑')] # for文の内包表記
elif message.content == "b/benzan":
# リアクションアイコンを付けたい
q = await message.channel.send(" /info ben ")
[await q.add_reaction(i) for i in ('⭕', '🔑')] # for文の内包表記
elif message.content == "b/jpynzan":
# リアクションアイコンを付けたい
q = await message.channel.send(" /info jpyn ")
[await q.add_reaction(i) for i in ('⭕', '🔑')] # for文の内包表記
elif message.content == "b/bgptzan":
# リアクションアイコンを付けたい
q = await message.channel.send(" /info bgpt ")
[await q.add_reaction(i) for i in ('⭕', '🔑')] # for文の内包表記
elif message.content == "b/kenjzan":
# リアクションアイコンを付けたい
q = await message.channel.send(" /info kenj ")
[await q.add_reaction(i) for i in ('⭕', '🔑')] # for文の内包表記
elif message.content == "b/sprtszan":
# リアクションアイコンを付けたい
q = await message.channel.send(" /info sprts ")
[await q.add_reaction(i) for i in ('⭕', '🔑')] # for文の内包表記
elif message.content == "b/29zan":
# リアクションアイコンを付けたい
q = await message.channel.send(" /info 29coin ")
[await q.add_reaction(i) for i in ('⭕', '🔑')] # for文の内包表記
# Botの起動とDiscordサーバーへの接続
client.run(token)
| 48.21911
| 220
| 0.662066
| 3,395
| 29,269
| 5.673049
| 0.115758
| 0.079387
| 0.093873
| 0.134943
| 0.820093
| 0.809865
| 0.783333
| 0.733904
| 0.705244
| 0.648235
| 0
| 0.231797
| 0.207011
| 29,269
| 606
| 221
| 48.29868
| 0.591211
| 0.033653
| 0
| 0.376471
| 0
| 0.061176
| 0.457909
| 0.247721
| 0
| 0
| 0
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| 1
| 0
| false
| 0
| 0.014118
| 0
| 0.016471
| 0.011765
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| 0
| null | 0
| 0
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| 1
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| null | 0
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| 0
| 0
|
0
| 7
|
579e7500b20a0507e631770b39620f092efe1fce
| 19,685
|
py
|
Python
|
src/unicon/plugins/tests/test_plugin_confd.py
|
tahigash/unicon.plugins
|
1b43a5a61244ea9312387fd855442ace37c65db9
|
[
"Apache-2.0"
] | null | null | null |
src/unicon/plugins/tests/test_plugin_confd.py
|
tahigash/unicon.plugins
|
1b43a5a61244ea9312387fd855442ace37c65db9
|
[
"Apache-2.0"
] | null | null | null |
src/unicon/plugins/tests/test_plugin_confd.py
|
tahigash/unicon.plugins
|
1b43a5a61244ea9312387fd855442ace37c65db9
|
[
"Apache-2.0"
] | null | null | null |
"""
Unittests for NSO plugin
Uses the unicon.plugins.tests.mock.mock_device_confd script to test the connect, execute and configure services.
"""
__author__ = "Dave Wapstra <dwapstra@cisco.com>"
import os
import re
import yaml
import unittest
from pyats.topology import loader
import unicon
from unicon import Connection
from unicon.core.errors import SubCommandFailure
from unicon.mock.mock_device import mockdata_path
with open(os.path.join(mockdata_path, 'confd/confd_mock_data.yaml'), 'rb') as datafile:
mock_data = yaml.safe_load(datafile.read())
class TestConfdPluginConnect(unittest.TestCase):
def test_connect_cisco_exec(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
self.assertEqual(c.spawn.match.match_output.split()[-1], 'user@ncs#')
def test_connect_juniper_exec(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
self.assertEqual(c.spawn.match.match_output.split()[-1], 'user@ncs>')
def test_connect_cisco_config(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_config'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
self.assertEqual(c.spawn.match.match_output.split()[-1], 'user@ncs#')
def test_connect_juniper_config(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_config'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
self.assertEqual(c.spawn.match.match_output.split()[-1], 'user@ncs>')
def test_connect_hostname_with_dash_and_dot(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec2'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
self.assertEqual(c.spawn.match.match_output.split()[-1], 'user.name@ncs-hostname.domain#')
class TestConfdPluginExecute(unittest.TestCase):
def test_cisco_execute_show_services(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.execute('show services')
self.assertEqual(r, """\
services sw-init-l3vpn foo
modified devices [ CE1 PE1 ]
directly-modified devices [ CE1 PE1 ]
device-list [ CE1 PE1 ]""".replace('\n', '\r\n'))
def test_cisco_execute_show_services_cisco_style(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.execute('show services', style='cisco')
self.assertEqual(r, """\
services sw-init-l3vpn foo
modified devices [ CE1 PE1 ]
directly-modified devices [ CE1 PE1 ]
device-list [ CE1 PE1 ]""".replace('\n', '\r\n'))
def test_cisco_execute_show_services_juniper_style(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.execute('show services', style='juniper')
self.assertEqual(r, """\
USED BY
LSA LSA CUSTOMER CONFIG
NAME DEVICES SERVICES SERVICES DEVICES SERVICES SERVICES DEVICE LIST SERVICE ID STATUS NAME TIME DATA ERROR WHEN TYPE LEVEL MESSAGE
------------------------------------------------------------------------------------------------------------------------------------------------------------------
foo [ CE1 PE1 ] - - [ CE1 PE1 ] - - [ CE1 PE1 ] -
[ok][2017-05-11 18:54:41]""".replace('\n', '\r\n'))
def test_cisco_execute_configure(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
c.execute('configure')
self.assertEqual("\n".join(c.spawn.match.match_output.splitlines()), """\
configure
Entering configuration mode terminal
user@ncs(config)# """)
def test_juniper_execute_show_services(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.execute('show services')
self.assertEqual(r, """\
USED BY
LSA LSA CUSTOMER CONFIG
NAME DEVICES SERVICES SERVICES DEVICES SERVICES SERVICES DEVICE LIST SERVICE ID STATUS NAME TIME DATA ERROR WHEN TYPE LEVEL MESSAGE
------------------------------------------------------------------------------------------------------------------------------------------------------------------
foo [ CE1 PE1 ] - - [ CE1 PE1 ] - - [ CE1 PE1 ] -
[ok][2017-05-11 18:54:41]""".replace('\n', '\r\n'))
def test_juniper_execute_switch_cli_configure(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
c.command('switch cli')
c.execute('configure')
self.assertEqual("\n".join(c.spawn.match.match_output.splitlines()), """\
configure
Entering configuration mode private
[ok][1970-01-01 00:00:00]
[edit]
user@ncs% """)
def test_juniper_execute_configure(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.execute('configure')
self.assertEqual(r, """Entering configuration mode private
[ok][1970-01-01 00:00:00]""".replace('\n', '\r\n'))
def test_cisco_execute_command_list(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.execute(['screen-length 0','screen-width 0'], style='cisco')
self.assertEqual(r, {'screen-width 0': '', 'screen-length 0': ''})
def test_execute_with_style_option(self):
""" Test execute command with start style cisco and execute style juniper
Expected state after execution: cisco style
"""
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.execute('show services', style='juniper')
c.state_machine.detect_state(c.spawn)
self.assertEqual(c.state_machine.current_cli_style, 'cisco')
def test_execute_switch_cli_with_other_commands(self):
""" 'switch cli' together with other commands is supported
"""
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.execute(['switch cli', 'show services'])
self.assertEqual(r['show services'], """\
services sw-init-l3vpn foo
modified devices [ CE1 PE1 ]
directly-modified devices [ CE1 PE1 ]
device-list [ CE1 PE1 ]""".replace('\n', '\r\n'))
def test_trim_buffer_with_execute(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
c.settings.IGNORE_CHATTY_TERM_OUTPUT = True
c.sendline('rest commit')
r = c.execute('show services')
self.assertEqual(r.replace('\r',''),
mock_data['cisco_exec']['commands']['show services']['response'].rstrip())
def test_execute_with_yes_no_prompt(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
c.execute('request software reset', timeout=15)
self.assertEqual(c.spawn.match.match_output.split()[-1], 'user@ncs#')
class TestConfdPluginConfigure(unittest.TestCase):
def test_cisco_config(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
cmd = 'services sw-init-l3vpn foo endpoint PE2 pe-interface 0/0/0/1 ce CE1 ce-interface 0/1 ce-address 1.1.1.1 pe-address 1.1.1.2'
r = c.configure(cmd)
self.assertEqual(r['commit'], 'Commit complete.')
def test_cisco_config_error(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
try:
cmd = 'services sw-init-l3vpn foo endpoint PE1 pe-interface 0/0/0/1 ce CE1 ce-interface 0/1 ce-address 1.1.1.1 pe-address 1.1.1.2'
c.configure(cmd)
except SubCommandFailure as e:
self.assertEqual(str(e), "('sub_command failure, patterns matched in the output:', ['Aborted'])", 'Commit error not detected\n%s' % e)
else:
raise AssertionError('Commit error not detected')
def test_juniper_config(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
cmd = 'services sw-init-l3vpn foo endpoint PE2 pe-interface 0/0/0/1 ce CE1 ce-interface 0/1 ce-address 1.1.1.1 pe-address 1.1.1.2'
r = c.configure(cmd)
self.assertEqual(r['commit'], 'Commit complete.')
self.assertEqual(r[cmd].replace(' \x08', ''), '')
def test_juniper_execute_config(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_login'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
cmd = 'services sw-init-l3vpn foo endpoint PE2 pe-interface 0/0/0/1 ce CE1 ce-interface 0/1 ce-address 1.1.1.1 pe-address 1.1.1.2'
r = c.execute(['configure', cmd, 'commit'])
self.assertEqual(r['commit'], 'Commit complete.')
self.assertEqual(r[cmd].replace(' \x08', ''), '')
def test_cisco_configure_command_list(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.configure(['services abc','commit'], style='cisco')
self.assertEqual(r, {'commit': 'Commit complete.', 'services abc': ''})
class TestConfdPluginCliStyle(unittest.TestCase):
def test_cisco_to_juniper_exec_clistyle(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
c.cli_style(style='j')
self.assertEqual("\n".join(c.spawn.match.match_output.splitlines()), """\
switch cli
[ok][1970-01-01 00:00:00]
user@ncs> """)
def test_juniper_to_cisco_exec_clistyle(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
c.cli_style(style='c')
self.assertEqual("\n".join(c.spawn.match.match_output.splitlines()), """\
switch cli
user@ncs# """)
def test_cisco_to_juniper_config_clistyle(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_config'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
c.execute('configure')
c.cli_style(style='j')
self.assertEqual("\n".join(c.spawn.match.match_output.splitlines()), """\
switch cli
[ok][1970-01-01 00:00:00]
[edit]
user@ncs% """)
def test_juniper_to_cisco_config_clistyle(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_config'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
c.execute('configure')
c.cli_style(style='c')
self.assertEqual("\n".join(c.spawn.match.match_output.splitlines()), """\
switch cli
user@ncs(config)# """)
class TestConfdPluginCommand(unittest.TestCase):
def test_command_cisco_exec(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.command('screen-length 0')
self.assertEqual(r, "screen-length 0\r\nuser@ncs# ")
def test_command_juniper_exec(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.command('set screen length 0')
assert r == "set screen length 0\r\nuser@ncs> "
def test_command_cisco_config(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state cisco_exec'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.command('config')
self.assertEqual("\n".join(r.splitlines()), """config
Entering configuration mode terminal
user@ncs(config)# """)
def test_command_juniper_config(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_config'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
r = c.command('configure')
self.assertEqual("\n".join(r.splitlines()), """configure
Entering configuration mode private
[ok][1970-01-01 00:00:00]
[edit]
user@ncs% """)
class TestConfdPluginErrorPattern(unittest.TestCase):
def test_detect_error_pattern(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_exec_syntax_error'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
with self.assertRaisesRegex(SubCommandFailure, 'sub_command failure, patterns matched in the output'):
c.execute('show command error', error_pattern=['---\^'])
def test_ignore_error_pattern(self):
c = Connection(hostname='ncs',
start=['mock_device_cli --os confd --state juniper_exec_syntax_error'],
os='confd',
username='admin',
tacacs_password='admin')
c.connect()
self.assertEqual(c.execute('show command error', error_pattern=[]),
'-----------------------------^\r\nsyntax error: unknown argument')
def test_error_pattern_settings(self):
testbed = """
devices:
ncs:
os: confd
type: nso
connections:
a:
ip: localhost
cli:
class: unicon.Unicon
command: mock_device_cli --os confd --state juniper_exec_syntax_error
"""
tb = loader.load(testbed)
ncs = tb.devices.ncs
ncs.connect(via='cli')
ncs.settings.ERROR_PATTERN=['---\^']
with self.assertRaisesRegex(SubCommandFailure, 'sub_command failure, patterns matched in the output'):
ncs.execute('show command error')
if __name__ == "__main__":
unittest.main()
| 41.882979
| 162
| 0.502515
| 1,984
| 19,685
| 4.826109
| 0.109375
| 0.048251
| 0.044804
| 0.051697
| 0.793838
| 0.773055
| 0.762611
| 0.748094
| 0.736188
| 0.720209
| 0
| 0.017503
| 0.361494
| 19,685
| 469
| 163
| 41.972281
| 0.744292
| 0.016053
| 0
| 0.714653
| 0
| 0.010283
| 0.34199
| 0.025607
| 0
| 0
| 0
| 0
| 0.092545
| 1
| 0.084833
| false
| 0.082262
| 0.023136
| 0
| 0.123393
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
17bce1efb8577815a8048616ee9d5c084e5812f1
| 1,937
|
py
|
Python
|
cron/src/send_email.py
|
shinebayar-g/devops-demo
|
4832554c6d9464350ae7228692496cda40bc5cf8
|
[
"MIT"
] | null | null | null |
cron/src/send_email.py
|
shinebayar-g/devops-demo
|
4832554c6d9464350ae7228692496cda40bc5cf8
|
[
"MIT"
] | null | null | null |
cron/src/send_email.py
|
shinebayar-g/devops-demo
|
4832554c6d9464350ae7228692496cda40bc5cf8
|
[
"MIT"
] | null | null | null |
import smtplib
from email.message import EmailMessage
import settings
def SendEmail():
msg = EmailMessage()
# TODO: Use more dynamic template
msg['Subject'] = 'Database backup complete.'
msg['From'] = settings.EMAIL_FROM
msg['To'] = settings.EMAIL_TO
msg.set_content(f'Successfully uploaded database to S3')
msg.add_alternative("""\
<!DOCTYPE html>
<html lang="en">
<body>
<h1 style="color:SlateGray;">Successfully uploaded database to S3</h1>
</body>
</html>
""", subtype='html')
try:
with smtplib.SMTP(settings.SMTP_SERVER, settings.SMTP_PORT) as smtp:
smtp.ehlo()
smtp.starttls()
smtp.ehlo()
smtp.login(settings.SMTP_USER, settings.SMTP_PASS)
smtp.send_message(msg)
print(f"Sent success email to: {settings.EMAIL_TO}")
except Exception as e:
print("Error happened. See below:")
print(e)
def SendErrorEmail():
msg = EmailMessage()
# TODO: Use more dynamic template
msg['Subject'] = "Database backup error."
msg['From'] = settings.EMAIL_FROM
msg['To'] = settings.EMAIL_TO
msg.set_content(f'There was an error when backing up database, please check script logs for more details.')
msg.add_alternative("""\
<!DOCTYPE html>
<html lang="en">
<body>
<h1 style="color:SlateGray;">There was an error when backing up database, please check script logs for more details.</h1>
</body>
</html>
""", subtype='html')
try:
with smtplib.SMTP(settings.SMTP_SERVER, settings.SMTP_PORT) as smtp:
smtp.ehlo()
smtp.starttls()
smtp.ehlo()
smtp.login(settings.SMTP_USER, settings.SMTP_PASS)
smtp.send_message(msg)
print(f"Sent error email to: {settings.EMAIL_TO}")
except Exception as e:
print("Error happened. See below:")
print(e)
| 31.754098
| 129
| 0.624161
| 241
| 1,937
| 4.93361
| 0.302905
| 0.08074
| 0.050463
| 0.057191
| 0.90328
| 0.849453
| 0.849453
| 0.849453
| 0.849453
| 0.849453
| 0
| 0.004149
| 0.253485
| 1,937
| 60
| 130
| 32.283333
| 0.818119
| 0.032525
| 0
| 0.754717
| 0
| 0.018868
| 0.380011
| 0.03581
| 0
| 0
| 0
| 0.016667
| 0
| 1
| 0.037736
| false
| 0.037736
| 0.056604
| 0
| 0.09434
| 0.113208
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
aa138add57d1558ba9edfc5029d5bd9bdae6422d
| 3,013
|
py
|
Python
|
tests/test_convert_text.py
|
roedoejet/convertextract
|
bf194a7d81d847d68690ea0d58dc47a70259cd78
|
[
"MIT"
] | 12
|
2016-10-20T16:17:04.000Z
|
2022-03-10T06:36:59.000Z
|
tests/test_convert_text.py
|
roedoejet/convertextract
|
bf194a7d81d847d68690ea0d58dc47a70259cd78
|
[
"MIT"
] | 3
|
2018-01-12T00:41:26.000Z
|
2020-08-12T05:04:45.000Z
|
tests/test_convert_text.py
|
roedoejet/convertextract
|
bf194a7d81d847d68690ea0d58dc47a70259cd78
|
[
"MIT"
] | 3
|
2020-08-18T21:47:03.000Z
|
2022-02-03T06:32:46.000Z
|
import os
from test_cors import __file__ as test_dir
from unittest import main, TestCase
from convertextract import process_text, process
class TextConvertTest(TestCase):
def setUp(self):
self.text_input = 'aaabbb'
self.text_output = 'bbbbbb'
self.cors = [{"in": "a", "out": "b", "context_before": "", "context_after": ""}]
self.test_cors_dir = os.path.dirname(test_dir)
def test_convert_from_list(self):
cors_1 = [{"in": "a", "out": "b", "context_before": "", "context_after": ""}, {"in": "b", "out": "c", "context_before": "", "context_after": ""}]
cors_2 = [{"in": "b", "out": "c", "context_before": "", "context_after": ""}, {"in": "a", "out": "b", "context_before": "", "context_after": ""}]
self.assertEqual(process_text(self.text_input, language=self.cors), self.text_output)
self.assertEqual(process_text(self.text_input, language=cors_1, as_is=True), 'cccccc')
self.assertEqual(process_text(self.text_input, language=cors_1, as_is=False), 'cccccc')
self.assertEqual(process_text(self.text_input, language=cors_2, as_is=True), 'bbbccc')
self.assertEqual(process_text(self.text_input, language=cors_2, as_is=False), 'bbbccc')
def test_convert_from_csv(self):
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'basic.csv')), self.text_output)
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'order_1.csv'), as_is=True), 'cccccc')
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'order_1.csv'), as_is=False), 'cccccc')
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'order_2.csv'), as_is=True), 'bbbccc')
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'order_2.csv'), as_is=False), 'bbbccc')
def test_convert_from_xlsx(self):
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'basic.xlsx')), self.text_output)
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'order_1.xlsx'), as_is=True), 'cccccc')
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'order_1.xlsx'), as_is=False), 'cccccc')
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'order_2.xlsx'), as_is=True), 'bbbccc')
self.assertEqual(process_text(self.text_input, language=os.path.join(self.test_cors_dir, 'order_2.xlsx'), as_is=False), 'bbbccc')
def test_context_sensitive(self):
self.assertEqual(process_text('test', language=[{"in": 't', "out": 'p', 'context_before': '^', 'context_after': 'e'}]), 'pest')
self.assertEqual(process_text('test', language=[{"in": 't', "out": 'p', 'context_before': '', 'context_after': ''}]), 'pesp')
if __name__ == '__main__':
main()
| 71.738095
| 153
| 0.692997
| 433
| 3,013
| 4.531178
| 0.13164
| 0.081549
| 0.190622
| 0.22528
| 0.833843
| 0.831804
| 0.82263
| 0.82263
| 0.722222
| 0.685525
| 0
| 0.005339
| 0.129771
| 3,013
| 42
| 154
| 71.738095
| 0.742944
| 0
| 0
| 0
| 0
| 0
| 0.152289
| 0
| 0
| 0
| 0
| 0
| 0.485714
| 1
| 0.142857
| false
| 0
| 0.114286
| 0
| 0.285714
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
aa312bef683bfbca45b17957645badb72bf07b1a
| 5,287
|
py
|
Python
|
django_thermostat/mappings/dimmers.py
|
jpardobl/django-thermostat
|
184e398134f289eb0337ec2af33c650f9ee26a13
|
[
"BSD-3-Clause"
] | null | null | null |
django_thermostat/mappings/dimmers.py
|
jpardobl/django-thermostat
|
184e398134f289eb0337ec2af33c650f9ee26a13
|
[
"BSD-3-Clause"
] | null | null | null |
django_thermostat/mappings/dimmers.py
|
jpardobl/django-thermostat
|
184e398134f289eb0337ec2af33c650f9ee26a13
|
[
"BSD-3-Clause"
] | null | null | null |
import logging
from hautomation_restclient.cmds import (
pl_switch,
pl_all_lights_off,
pl_all_lights_on)
from django.conf import settings
logger = logging.getLogger("thermostat.rules.mappings")
logger.setLevel(settings.LOG_LEVEL)
def luz_descansillo_off(mo=None):
try:
pl_switch(
settings.LUZ_DESCANSILLO_PROTOCOL,
settings.LUZ_DESCANSILLO_DID,
"off",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Luz del descansillo apagada")
except Exception as ex:
logger.error(ex)
def luz_descansillo_on(mo=None):
try:
pl_switch(
settings.LUZ_DESCANSILLO_PROTOCOL,
settings.LUZ_DESCANSILLO_DID,
"on",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Luz del descansillo encendida")
except Exception as ex:
logger.error(ex)
def luz_pasillo_off(mo=None):
try:
pl_switch(
"X10",
settings.LUZ_PASILLO_DID,
"off",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Luz del pasillo apagada")
except Exception as ex:
logger.error(ex)
def luz_pasillo_on(mo=None):
try:
pl_switch(
"X10",
settings.LUZ_PASILLO_DID,
"on",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Luz del pasillo encendida")
except Exception as ex:
logger.error(ex)
def salon_on(mo=None):
try:
pl_switch(
"X10",
settings.SALON_DID,
"on",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Salon subido")
except Exception as ex:
logger.error(ex)
def salon_off(mo=None):
try:
pl_switch(
"X10",
settings.SALON_DID,
"off",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Salon bajado")
except Exception as ex:
logger.error(ex)
def pasillo_off(mo=None):
try:
pl_switch(
settings.HEATER_PROTOCOL,
settings.PASILLO_DID,
"off",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Pasillo bajado")
except Exception as ex:
logger.error(ex)
def pasillo_on(mo=None):
try:
pl_switch(
"X10",
settings.PASILLO_DID,
"on",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Pasillo subido")
except Exception as ex:
logger.error(ex)
def cuarto_oeste_off(mo=None):
try:
pl_switch(
"X10",
settings.CUARTO_OESTE_DID,
"off",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Cuarto oeste bajado")
except Exception as ex:
logger.error(ex)
def cuarto_oeste_on(mo=None):
try:
pl_switch(
"X10",
settings.CUARTO_OESTE_DID,
"on",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Cuarto oeste subido")
except Exception as ex:
logger.error(ex)
def cuarto_este_off(mo=None):
try:
pl_switch(
"X10",
settings.CUARTO_ESTE_DID,
"off",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Cuarto este bajado")
except Exception as ex:
logger.error(ex)
def cuarto_este_on(mo=None):
try:
pl_switch(
"X10",
settings.CUARTO_ESTE_DID,
"on",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Cuarto este subido")
except Exception as ex:
logger.error(ex)
def a_lights_off(mo=None):
try:
pl_all_lights_off(
"X10",
"A",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Grupo A bajado")
except Exception as ex:
logger.error(ex)
def a_lights_on(mo=None):
try:
pl_all_lights_on(
"X10",
"A",
settings.HEATER_API,
settings.HEATER_USERNAME,
settings.HEATER_PASSWORD)
logger.debug("Grupo A subido")
except Exception as ex:
logger.error(ex)
mappings = [
salon_off,
salon_on,
cuarto_este_on,
cuarto_este_off,
cuarto_oeste_off,
cuarto_oeste_on,
pasillo_on,
pasillo_off,
a_lights_off,
a_lights_on,
luz_pasillo_off,
luz_pasillo_on,
luz_descansillo_on,
luz_descansillo_off,
]
| 23.70852
| 55
| 0.573482
| 572
| 5,287
| 5.052448
| 0.094406
| 0.208305
| 0.043599
| 0.053287
| 0.857439
| 0.855709
| 0.841176
| 0.83045
| 0.814533
| 0.737024
| 0
| 0.006347
| 0.34443
| 5,287
| 222
| 56
| 23.815315
| 0.827467
| 0
| 0
| 0.710526
| 0
| 0
| 0.065822
| 0.004729
| 0
| 0
| 0
| 0
| 0
| 1
| 0.073684
| false
| 0.073684
| 0.015789
| 0
| 0.089474
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 9
|
a4df642e9188c5255221c641c8cab721f982f04f
| 132
|
py
|
Python
|
src/example_package/example.py
|
muyinliu/PyPiDemoProject
|
914668ff6f6b3eff04bc9482cd8887e053350d95
|
[
"MIT"
] | null | null | null |
src/example_package/example.py
|
muyinliu/PyPiDemoProject
|
914668ff6f6b3eff04bc9482cd8887e053350d95
|
[
"MIT"
] | null | null | null |
src/example_package/example.py
|
muyinliu/PyPiDemoProject
|
914668ff6f6b3eff04bc9482cd8887e053350d95
|
[
"MIT"
] | null | null | null |
from example_package.utils.str_utils import *
def example_function_concat(param1, param2) -> str:
return concat(param1, param2)
| 33
| 51
| 0.787879
| 18
| 132
| 5.555556
| 0.666667
| 0.24
| 0.36
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034483
| 0.121212
| 132
| 4
| 52
| 33
| 0.827586
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 7
|
a4fcf89571ca8aac50cbd47c0f9de24f98b43195
| 109
|
py
|
Python
|
tools/getpythonversion.py
|
ktrzeciaknubisa/jxcore-binary-packaging
|
5759df084be10a259a4a4f1b38c214c6084a7c0f
|
[
"Apache-2.0"
] | 2,494
|
2015-02-11T04:34:13.000Z
|
2022-03-31T14:21:47.000Z
|
tools/getpythonversion.py
|
ktrzeciaknubisa/jxcore-binary-packaging
|
5759df084be10a259a4a4f1b38c214c6084a7c0f
|
[
"Apache-2.0"
] | 685
|
2015-02-11T17:14:26.000Z
|
2021-04-13T09:58:39.000Z
|
tools/getpythonversion.py
|
ktrzeciaknubisa/jxcore-binary-packaging
|
5759df084be10a259a4a4f1b38c214c6084a7c0f
|
[
"Apache-2.0"
] | 442
|
2015-02-12T13:45:46.000Z
|
2022-03-21T05:28:05.000Z
|
import sys
print (str(sys.version_info[0]) + '.' + str(sys.version_info[1]) + '.' + str(sys.version_info[2]))
| 54.5
| 98
| 0.651376
| 18
| 109
| 3.777778
| 0.5
| 0.264706
| 0.573529
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030612
| 0.100917
| 109
| 2
| 98
| 54.5
| 0.663265
| 0
| 0
| 0
| 0
| 0
| 0.018182
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 8
|
351e566e21381b97531c352b5a148380d837f061
| 43
|
py
|
Python
|
Brainy_Lesson_5.py
|
BrainyHaron/Python_lessons
|
246237114968dfe4df1a8b37e2c50d5be827db1f
|
[
"MIT"
] | null | null | null |
Brainy_Lesson_5.py
|
BrainyHaron/Python_lessons
|
246237114968dfe4df1a8b37e2c50d5be827db1f
|
[
"MIT"
] | null | null | null |
Brainy_Lesson_5.py
|
BrainyHaron/Python_lessons
|
246237114968dfe4df1a8b37e2c50d5be827db1f
|
[
"MIT"
] | null | null | null |
import devisor_master
print(devisor_master)
| 21.5
| 21
| 0.906977
| 6
| 43
| 6.166667
| 0.666667
| 0.702703
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.046512
| 43
| 2
| 22
| 21.5
| 0.902439
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 7
|
35208c4b8fd949bb93edbf3528ec88732ddba598
| 95,507
|
py
|
Python
|
sdk/storage/azure-storage-blob/azure/storage/blob/_generated/operations/_block_blob_operations.py
|
NateLehman/azure-sdk-for-python
|
82fcc5a5e9e01c3b7f6ab24fccbafad19149e400
|
[
"MIT"
] | null | null | null |
sdk/storage/azure-storage-blob/azure/storage/blob/_generated/operations/_block_blob_operations.py
|
NateLehman/azure-sdk-for-python
|
82fcc5a5e9e01c3b7f6ab24fccbafad19149e400
|
[
"MIT"
] | null | null | null |
sdk/storage/azure-storage-blob/azure/storage/blob/_generated/operations/_block_blob_operations.py
|
NateLehman/azure-sdk-for-python
|
82fcc5a5e9e01c3b7f6ab24fccbafad19149e400
|
[
"MIT"
] | null | null | null |
# pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
import datetime
from typing import TYPE_CHECKING
from msrest import Serializer
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpResponse
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from .. import models as _models
from .._vendor import _convert_request, _format_url_section
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from typing import Any, Callable, Dict, IO, Optional, TypeVar, Union
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False
# fmt: off
def build_upload_request(
url, # type: str
**kwargs # type: Any
):
# type: (...) -> HttpRequest
blob_type = kwargs.pop('blob_type', "BlockBlob") # type: str
version = kwargs.pop('version', "2021-04-10") # type: str
content_type = kwargs.pop('content_type', None) # type: Optional[str]
content_length = kwargs.pop('content_length') # type: int
timeout = kwargs.pop('timeout', None) # type: Optional[int]
transactional_content_md5 = kwargs.pop('transactional_content_md5', None) # type: Optional[bytearray]
blob_content_type = kwargs.pop('blob_content_type', None) # type: Optional[str]
blob_content_encoding = kwargs.pop('blob_content_encoding', None) # type: Optional[str]
blob_content_language = kwargs.pop('blob_content_language', None) # type: Optional[str]
blob_content_md5 = kwargs.pop('blob_content_md5', None) # type: Optional[bytearray]
blob_cache_control = kwargs.pop('blob_cache_control', None) # type: Optional[str]
metadata = kwargs.pop('metadata', None) # type: Optional[Dict[str, str]]
lease_id = kwargs.pop('lease_id', None) # type: Optional[str]
blob_content_disposition = kwargs.pop('blob_content_disposition', None) # type: Optional[str]
encryption_key = kwargs.pop('encryption_key', None) # type: Optional[str]
encryption_key_sha256 = kwargs.pop('encryption_key_sha256', None) # type: Optional[str]
encryption_algorithm = kwargs.pop('encryption_algorithm', None) # type: Optional[Union[str, "_models.EncryptionAlgorithmType"]]
encryption_scope = kwargs.pop('encryption_scope', None) # type: Optional[str]
tier = kwargs.pop('tier', None) # type: Optional[Union[str, "_models.AccessTierOptional"]]
if_modified_since = kwargs.pop('if_modified_since', None) # type: Optional[datetime.datetime]
if_unmodified_since = kwargs.pop('if_unmodified_since', None) # type: Optional[datetime.datetime]
if_match = kwargs.pop('if_match', None) # type: Optional[str]
if_none_match = kwargs.pop('if_none_match', None) # type: Optional[str]
if_tags = kwargs.pop('if_tags', None) # type: Optional[str]
request_id_parameter = kwargs.pop('request_id_parameter', None) # type: Optional[str]
blob_tags_string = kwargs.pop('blob_tags_string', None) # type: Optional[str]
immutability_policy_expiry = kwargs.pop('immutability_policy_expiry', None) # type: Optional[datetime.datetime]
immutability_policy_mode = kwargs.pop('immutability_policy_mode', None) # type: Optional[Union[str, "_models.BlobImmutabilityPolicyMode"]]
legal_hold = kwargs.pop('legal_hold', None) # type: Optional[bool]
accept = "application/xml"
# Construct URL
_url = kwargs.pop("template_url", "{url}/{containerName}/{blob}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, 'str', skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any]
if timeout is not None:
_query_parameters['timeout'] = _SERIALIZER.query("timeout", timeout, 'int', minimum=0)
# Construct headers
_header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any]
_header_parameters['x-ms-blob-type'] = _SERIALIZER.header("blob_type", blob_type, 'str')
if transactional_content_md5 is not None:
_header_parameters['Content-MD5'] = _SERIALIZER.header("transactional_content_md5", transactional_content_md5, 'bytearray')
_header_parameters['Content-Length'] = _SERIALIZER.header("content_length", content_length, 'long')
if blob_content_type is not None:
_header_parameters['x-ms-blob-content-type'] = _SERIALIZER.header("blob_content_type", blob_content_type, 'str')
if blob_content_encoding is not None:
_header_parameters['x-ms-blob-content-encoding'] = _SERIALIZER.header("blob_content_encoding", blob_content_encoding, 'str')
if blob_content_language is not None:
_header_parameters['x-ms-blob-content-language'] = _SERIALIZER.header("blob_content_language", blob_content_language, 'str')
if blob_content_md5 is not None:
_header_parameters['x-ms-blob-content-md5'] = _SERIALIZER.header("blob_content_md5", blob_content_md5, 'bytearray')
if blob_cache_control is not None:
_header_parameters['x-ms-blob-cache-control'] = _SERIALIZER.header("blob_cache_control", blob_cache_control, 'str')
if metadata is not None:
_header_parameters['x-ms-meta'] = _SERIALIZER.header("metadata", metadata, '{str}')
if lease_id is not None:
_header_parameters['x-ms-lease-id'] = _SERIALIZER.header("lease_id", lease_id, 'str')
if blob_content_disposition is not None:
_header_parameters['x-ms-blob-content-disposition'] = _SERIALIZER.header("blob_content_disposition", blob_content_disposition, 'str')
if encryption_key is not None:
_header_parameters['x-ms-encryption-key'] = _SERIALIZER.header("encryption_key", encryption_key, 'str')
if encryption_key_sha256 is not None:
_header_parameters['x-ms-encryption-key-sha256'] = _SERIALIZER.header("encryption_key_sha256", encryption_key_sha256, 'str')
if encryption_algorithm is not None:
_header_parameters['x-ms-encryption-algorithm'] = _SERIALIZER.header("encryption_algorithm", encryption_algorithm, 'str')
if encryption_scope is not None:
_header_parameters['x-ms-encryption-scope'] = _SERIALIZER.header("encryption_scope", encryption_scope, 'str')
if tier is not None:
_header_parameters['x-ms-access-tier'] = _SERIALIZER.header("tier", tier, 'str')
if if_modified_since is not None:
_header_parameters['If-Modified-Since'] = _SERIALIZER.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
_header_parameters['If-Unmodified-Since'] = _SERIALIZER.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
if if_match is not None:
_header_parameters['If-Match'] = _SERIALIZER.header("if_match", if_match, 'str')
if if_none_match is not None:
_header_parameters['If-None-Match'] = _SERIALIZER.header("if_none_match", if_none_match, 'str')
if if_tags is not None:
_header_parameters['x-ms-if-tags'] = _SERIALIZER.header("if_tags", if_tags, 'str')
_header_parameters['x-ms-version'] = _SERIALIZER.header("version", version, 'str')
if request_id_parameter is not None:
_header_parameters['x-ms-client-request-id'] = _SERIALIZER.header("request_id_parameter", request_id_parameter, 'str')
if blob_tags_string is not None:
_header_parameters['x-ms-tags'] = _SERIALIZER.header("blob_tags_string", blob_tags_string, 'str')
if immutability_policy_expiry is not None:
_header_parameters['x-ms-immutability-policy-until-date'] = _SERIALIZER.header("immutability_policy_expiry", immutability_policy_expiry, 'rfc-1123')
if immutability_policy_mode is not None:
_header_parameters['x-ms-immutability-policy-mode'] = _SERIALIZER.header("immutability_policy_mode", immutability_policy_mode, 'str')
if legal_hold is not None:
_header_parameters['x-ms-legal-hold'] = _SERIALIZER.header("legal_hold", legal_hold, 'bool')
if content_type is not None:
_header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
_header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="PUT",
url=_url,
params=_query_parameters,
headers=_header_parameters,
**kwargs
)
def build_put_blob_from_url_request(
url, # type: str
**kwargs # type: Any
):
# type: (...) -> HttpRequest
blob_type = kwargs.pop('blob_type', "BlockBlob") # type: str
version = kwargs.pop('version', "2021-04-10") # type: str
content_length = kwargs.pop('content_length') # type: int
copy_source = kwargs.pop('copy_source') # type: str
timeout = kwargs.pop('timeout', None) # type: Optional[int]
transactional_content_md5 = kwargs.pop('transactional_content_md5', None) # type: Optional[bytearray]
blob_content_type = kwargs.pop('blob_content_type', None) # type: Optional[str]
blob_content_encoding = kwargs.pop('blob_content_encoding', None) # type: Optional[str]
blob_content_language = kwargs.pop('blob_content_language', None) # type: Optional[str]
blob_content_md5 = kwargs.pop('blob_content_md5', None) # type: Optional[bytearray]
blob_cache_control = kwargs.pop('blob_cache_control', None) # type: Optional[str]
metadata = kwargs.pop('metadata', None) # type: Optional[Dict[str, str]]
lease_id = kwargs.pop('lease_id', None) # type: Optional[str]
blob_content_disposition = kwargs.pop('blob_content_disposition', None) # type: Optional[str]
encryption_key = kwargs.pop('encryption_key', None) # type: Optional[str]
encryption_key_sha256 = kwargs.pop('encryption_key_sha256', None) # type: Optional[str]
encryption_algorithm = kwargs.pop('encryption_algorithm', None) # type: Optional[Union[str, "_models.EncryptionAlgorithmType"]]
encryption_scope = kwargs.pop('encryption_scope', None) # type: Optional[str]
tier = kwargs.pop('tier', None) # type: Optional[Union[str, "_models.AccessTierOptional"]]
if_modified_since = kwargs.pop('if_modified_since', None) # type: Optional[datetime.datetime]
if_unmodified_since = kwargs.pop('if_unmodified_since', None) # type: Optional[datetime.datetime]
if_match = kwargs.pop('if_match', None) # type: Optional[str]
if_none_match = kwargs.pop('if_none_match', None) # type: Optional[str]
if_tags = kwargs.pop('if_tags', None) # type: Optional[str]
source_if_modified_since = kwargs.pop('source_if_modified_since', None) # type: Optional[datetime.datetime]
source_if_unmodified_since = kwargs.pop('source_if_unmodified_since', None) # type: Optional[datetime.datetime]
source_if_match = kwargs.pop('source_if_match', None) # type: Optional[str]
source_if_none_match = kwargs.pop('source_if_none_match', None) # type: Optional[str]
source_if_tags = kwargs.pop('source_if_tags', None) # type: Optional[str]
request_id_parameter = kwargs.pop('request_id_parameter', None) # type: Optional[str]
source_content_md5 = kwargs.pop('source_content_md5', None) # type: Optional[bytearray]
blob_tags_string = kwargs.pop('blob_tags_string', None) # type: Optional[str]
copy_source_blob_properties = kwargs.pop('copy_source_blob_properties', None) # type: Optional[bool]
copy_source_authorization = kwargs.pop('copy_source_authorization', None) # type: Optional[str]
accept = "application/xml"
# Construct URL
_url = kwargs.pop("template_url", "{url}/{containerName}/{blob}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, 'str', skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any]
if timeout is not None:
_query_parameters['timeout'] = _SERIALIZER.query("timeout", timeout, 'int', minimum=0)
# Construct headers
_header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any]
_header_parameters['x-ms-blob-type'] = _SERIALIZER.header("blob_type", blob_type, 'str')
if transactional_content_md5 is not None:
_header_parameters['Content-MD5'] = _SERIALIZER.header("transactional_content_md5", transactional_content_md5, 'bytearray')
_header_parameters['Content-Length'] = _SERIALIZER.header("content_length", content_length, 'long')
if blob_content_type is not None:
_header_parameters['x-ms-blob-content-type'] = _SERIALIZER.header("blob_content_type", blob_content_type, 'str')
if blob_content_encoding is not None:
_header_parameters['x-ms-blob-content-encoding'] = _SERIALIZER.header("blob_content_encoding", blob_content_encoding, 'str')
if blob_content_language is not None:
_header_parameters['x-ms-blob-content-language'] = _SERIALIZER.header("blob_content_language", blob_content_language, 'str')
if blob_content_md5 is not None:
_header_parameters['x-ms-blob-content-md5'] = _SERIALIZER.header("blob_content_md5", blob_content_md5, 'bytearray')
if blob_cache_control is not None:
_header_parameters['x-ms-blob-cache-control'] = _SERIALIZER.header("blob_cache_control", blob_cache_control, 'str')
if metadata is not None:
_header_parameters['x-ms-meta'] = _SERIALIZER.header("metadata", metadata, '{str}')
if lease_id is not None:
_header_parameters['x-ms-lease-id'] = _SERIALIZER.header("lease_id", lease_id, 'str')
if blob_content_disposition is not None:
_header_parameters['x-ms-blob-content-disposition'] = _SERIALIZER.header("blob_content_disposition", blob_content_disposition, 'str')
if encryption_key is not None:
_header_parameters['x-ms-encryption-key'] = _SERIALIZER.header("encryption_key", encryption_key, 'str')
if encryption_key_sha256 is not None:
_header_parameters['x-ms-encryption-key-sha256'] = _SERIALIZER.header("encryption_key_sha256", encryption_key_sha256, 'str')
if encryption_algorithm is not None:
_header_parameters['x-ms-encryption-algorithm'] = _SERIALIZER.header("encryption_algorithm", encryption_algorithm, 'str')
if encryption_scope is not None:
_header_parameters['x-ms-encryption-scope'] = _SERIALIZER.header("encryption_scope", encryption_scope, 'str')
if tier is not None:
_header_parameters['x-ms-access-tier'] = _SERIALIZER.header("tier", tier, 'str')
if if_modified_since is not None:
_header_parameters['If-Modified-Since'] = _SERIALIZER.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
_header_parameters['If-Unmodified-Since'] = _SERIALIZER.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
if if_match is not None:
_header_parameters['If-Match'] = _SERIALIZER.header("if_match", if_match, 'str')
if if_none_match is not None:
_header_parameters['If-None-Match'] = _SERIALIZER.header("if_none_match", if_none_match, 'str')
if if_tags is not None:
_header_parameters['x-ms-if-tags'] = _SERIALIZER.header("if_tags", if_tags, 'str')
if source_if_modified_since is not None:
_header_parameters['x-ms-source-if-modified-since'] = _SERIALIZER.header("source_if_modified_since", source_if_modified_since, 'rfc-1123')
if source_if_unmodified_since is not None:
_header_parameters['x-ms-source-if-unmodified-since'] = _SERIALIZER.header("source_if_unmodified_since", source_if_unmodified_since, 'rfc-1123')
if source_if_match is not None:
_header_parameters['x-ms-source-if-match'] = _SERIALIZER.header("source_if_match", source_if_match, 'str')
if source_if_none_match is not None:
_header_parameters['x-ms-source-if-none-match'] = _SERIALIZER.header("source_if_none_match", source_if_none_match, 'str')
if source_if_tags is not None:
_header_parameters['x-ms-source-if-tags'] = _SERIALIZER.header("source_if_tags", source_if_tags, 'str')
_header_parameters['x-ms-version'] = _SERIALIZER.header("version", version, 'str')
if request_id_parameter is not None:
_header_parameters['x-ms-client-request-id'] = _SERIALIZER.header("request_id_parameter", request_id_parameter, 'str')
if source_content_md5 is not None:
_header_parameters['x-ms-source-content-md5'] = _SERIALIZER.header("source_content_md5", source_content_md5, 'bytearray')
if blob_tags_string is not None:
_header_parameters['x-ms-tags'] = _SERIALIZER.header("blob_tags_string", blob_tags_string, 'str')
_header_parameters['x-ms-copy-source'] = _SERIALIZER.header("copy_source", copy_source, 'str')
if copy_source_blob_properties is not None:
_header_parameters['x-ms-copy-source-blob-properties'] = _SERIALIZER.header("copy_source_blob_properties", copy_source_blob_properties, 'bool')
if copy_source_authorization is not None:
_header_parameters['x-ms-copy-source-authorization'] = _SERIALIZER.header("copy_source_authorization", copy_source_authorization, 'str')
_header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="PUT",
url=_url,
params=_query_parameters,
headers=_header_parameters,
**kwargs
)
def build_stage_block_request(
url, # type: str
**kwargs # type: Any
):
# type: (...) -> HttpRequest
comp = kwargs.pop('comp', "block") # type: str
version = kwargs.pop('version', "2021-04-10") # type: str
content_type = kwargs.pop('content_type', None) # type: Optional[str]
block_id = kwargs.pop('block_id') # type: str
content_length = kwargs.pop('content_length') # type: int
transactional_content_md5 = kwargs.pop('transactional_content_md5', None) # type: Optional[bytearray]
transactional_content_crc64 = kwargs.pop('transactional_content_crc64', None) # type: Optional[bytearray]
timeout = kwargs.pop('timeout', None) # type: Optional[int]
lease_id = kwargs.pop('lease_id', None) # type: Optional[str]
encryption_key = kwargs.pop('encryption_key', None) # type: Optional[str]
encryption_key_sha256 = kwargs.pop('encryption_key_sha256', None) # type: Optional[str]
encryption_algorithm = kwargs.pop('encryption_algorithm', None) # type: Optional[Union[str, "_models.EncryptionAlgorithmType"]]
encryption_scope = kwargs.pop('encryption_scope', None) # type: Optional[str]
request_id_parameter = kwargs.pop('request_id_parameter', None) # type: Optional[str]
accept = "application/xml"
# Construct URL
_url = kwargs.pop("template_url", "{url}/{containerName}/{blob}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, 'str', skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any]
_query_parameters['comp'] = _SERIALIZER.query("comp", comp, 'str')
_query_parameters['blockid'] = _SERIALIZER.query("block_id", block_id, 'str')
if timeout is not None:
_query_parameters['timeout'] = _SERIALIZER.query("timeout", timeout, 'int', minimum=0)
# Construct headers
_header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any]
_header_parameters['Content-Length'] = _SERIALIZER.header("content_length", content_length, 'long')
if transactional_content_md5 is not None:
_header_parameters['Content-MD5'] = _SERIALIZER.header("transactional_content_md5", transactional_content_md5, 'bytearray')
if transactional_content_crc64 is not None:
_header_parameters['x-ms-content-crc64'] = _SERIALIZER.header("transactional_content_crc64", transactional_content_crc64, 'bytearray')
if lease_id is not None:
_header_parameters['x-ms-lease-id'] = _SERIALIZER.header("lease_id", lease_id, 'str')
if encryption_key is not None:
_header_parameters['x-ms-encryption-key'] = _SERIALIZER.header("encryption_key", encryption_key, 'str')
if encryption_key_sha256 is not None:
_header_parameters['x-ms-encryption-key-sha256'] = _SERIALIZER.header("encryption_key_sha256", encryption_key_sha256, 'str')
if encryption_algorithm is not None:
_header_parameters['x-ms-encryption-algorithm'] = _SERIALIZER.header("encryption_algorithm", encryption_algorithm, 'str')
if encryption_scope is not None:
_header_parameters['x-ms-encryption-scope'] = _SERIALIZER.header("encryption_scope", encryption_scope, 'str')
_header_parameters['x-ms-version'] = _SERIALIZER.header("version", version, 'str')
if request_id_parameter is not None:
_header_parameters['x-ms-client-request-id'] = _SERIALIZER.header("request_id_parameter", request_id_parameter, 'str')
if content_type is not None:
_header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
_header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="PUT",
url=_url,
params=_query_parameters,
headers=_header_parameters,
**kwargs
)
def build_stage_block_from_url_request(
url, # type: str
**kwargs # type: Any
):
# type: (...) -> HttpRequest
comp = kwargs.pop('comp', "block") # type: str
version = kwargs.pop('version', "2021-04-10") # type: str
block_id = kwargs.pop('block_id') # type: str
content_length = kwargs.pop('content_length') # type: int
source_url = kwargs.pop('source_url') # type: str
source_range = kwargs.pop('source_range', None) # type: Optional[str]
source_content_md5 = kwargs.pop('source_content_md5', None) # type: Optional[bytearray]
source_contentcrc64 = kwargs.pop('source_contentcrc64', None) # type: Optional[bytearray]
timeout = kwargs.pop('timeout', None) # type: Optional[int]
encryption_key = kwargs.pop('encryption_key', None) # type: Optional[str]
encryption_key_sha256 = kwargs.pop('encryption_key_sha256', None) # type: Optional[str]
encryption_algorithm = kwargs.pop('encryption_algorithm', None) # type: Optional[Union[str, "_models.EncryptionAlgorithmType"]]
encryption_scope = kwargs.pop('encryption_scope', None) # type: Optional[str]
lease_id = kwargs.pop('lease_id', None) # type: Optional[str]
source_if_modified_since = kwargs.pop('source_if_modified_since', None) # type: Optional[datetime.datetime]
source_if_unmodified_since = kwargs.pop('source_if_unmodified_since', None) # type: Optional[datetime.datetime]
source_if_match = kwargs.pop('source_if_match', None) # type: Optional[str]
source_if_none_match = kwargs.pop('source_if_none_match', None) # type: Optional[str]
request_id_parameter = kwargs.pop('request_id_parameter', None) # type: Optional[str]
copy_source_authorization = kwargs.pop('copy_source_authorization', None) # type: Optional[str]
accept = "application/xml"
# Construct URL
_url = kwargs.pop("template_url", "{url}/{containerName}/{blob}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, 'str', skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any]
_query_parameters['comp'] = _SERIALIZER.query("comp", comp, 'str')
_query_parameters['blockid'] = _SERIALIZER.query("block_id", block_id, 'str')
if timeout is not None:
_query_parameters['timeout'] = _SERIALIZER.query("timeout", timeout, 'int', minimum=0)
# Construct headers
_header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any]
_header_parameters['Content-Length'] = _SERIALIZER.header("content_length", content_length, 'long')
_header_parameters['x-ms-copy-source'] = _SERIALIZER.header("source_url", source_url, 'str')
if source_range is not None:
_header_parameters['x-ms-source-range'] = _SERIALIZER.header("source_range", source_range, 'str')
if source_content_md5 is not None:
_header_parameters['x-ms-source-content-md5'] = _SERIALIZER.header("source_content_md5", source_content_md5, 'bytearray')
if source_contentcrc64 is not None:
_header_parameters['x-ms-source-content-crc64'] = _SERIALIZER.header("source_contentcrc64", source_contentcrc64, 'bytearray')
if encryption_key is not None:
_header_parameters['x-ms-encryption-key'] = _SERIALIZER.header("encryption_key", encryption_key, 'str')
if encryption_key_sha256 is not None:
_header_parameters['x-ms-encryption-key-sha256'] = _SERIALIZER.header("encryption_key_sha256", encryption_key_sha256, 'str')
if encryption_algorithm is not None:
_header_parameters['x-ms-encryption-algorithm'] = _SERIALIZER.header("encryption_algorithm", encryption_algorithm, 'str')
if encryption_scope is not None:
_header_parameters['x-ms-encryption-scope'] = _SERIALIZER.header("encryption_scope", encryption_scope, 'str')
if lease_id is not None:
_header_parameters['x-ms-lease-id'] = _SERIALIZER.header("lease_id", lease_id, 'str')
if source_if_modified_since is not None:
_header_parameters['x-ms-source-if-modified-since'] = _SERIALIZER.header("source_if_modified_since", source_if_modified_since, 'rfc-1123')
if source_if_unmodified_since is not None:
_header_parameters['x-ms-source-if-unmodified-since'] = _SERIALIZER.header("source_if_unmodified_since", source_if_unmodified_since, 'rfc-1123')
if source_if_match is not None:
_header_parameters['x-ms-source-if-match'] = _SERIALIZER.header("source_if_match", source_if_match, 'str')
if source_if_none_match is not None:
_header_parameters['x-ms-source-if-none-match'] = _SERIALIZER.header("source_if_none_match", source_if_none_match, 'str')
_header_parameters['x-ms-version'] = _SERIALIZER.header("version", version, 'str')
if request_id_parameter is not None:
_header_parameters['x-ms-client-request-id'] = _SERIALIZER.header("request_id_parameter", request_id_parameter, 'str')
if copy_source_authorization is not None:
_header_parameters['x-ms-copy-source-authorization'] = _SERIALIZER.header("copy_source_authorization", copy_source_authorization, 'str')
_header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="PUT",
url=_url,
params=_query_parameters,
headers=_header_parameters,
**kwargs
)
def build_commit_block_list_request(
url, # type: str
**kwargs # type: Any
):
# type: (...) -> HttpRequest
comp = kwargs.pop('comp', "blocklist") # type: str
version = kwargs.pop('version', "2021-04-10") # type: str
content_type = kwargs.pop('content_type', None) # type: Optional[str]
timeout = kwargs.pop('timeout', None) # type: Optional[int]
blob_cache_control = kwargs.pop('blob_cache_control', None) # type: Optional[str]
blob_content_type = kwargs.pop('blob_content_type', None) # type: Optional[str]
blob_content_encoding = kwargs.pop('blob_content_encoding', None) # type: Optional[str]
blob_content_language = kwargs.pop('blob_content_language', None) # type: Optional[str]
blob_content_md5 = kwargs.pop('blob_content_md5', None) # type: Optional[bytearray]
transactional_content_md5 = kwargs.pop('transactional_content_md5', None) # type: Optional[bytearray]
transactional_content_crc64 = kwargs.pop('transactional_content_crc64', None) # type: Optional[bytearray]
metadata = kwargs.pop('metadata', None) # type: Optional[Dict[str, str]]
lease_id = kwargs.pop('lease_id', None) # type: Optional[str]
blob_content_disposition = kwargs.pop('blob_content_disposition', None) # type: Optional[str]
encryption_key = kwargs.pop('encryption_key', None) # type: Optional[str]
encryption_key_sha256 = kwargs.pop('encryption_key_sha256', None) # type: Optional[str]
encryption_algorithm = kwargs.pop('encryption_algorithm', None) # type: Optional[Union[str, "_models.EncryptionAlgorithmType"]]
encryption_scope = kwargs.pop('encryption_scope', None) # type: Optional[str]
tier = kwargs.pop('tier', None) # type: Optional[Union[str, "_models.AccessTierOptional"]]
if_modified_since = kwargs.pop('if_modified_since', None) # type: Optional[datetime.datetime]
if_unmodified_since = kwargs.pop('if_unmodified_since', None) # type: Optional[datetime.datetime]
if_match = kwargs.pop('if_match', None) # type: Optional[str]
if_none_match = kwargs.pop('if_none_match', None) # type: Optional[str]
if_tags = kwargs.pop('if_tags', None) # type: Optional[str]
request_id_parameter = kwargs.pop('request_id_parameter', None) # type: Optional[str]
blob_tags_string = kwargs.pop('blob_tags_string', None) # type: Optional[str]
immutability_policy_expiry = kwargs.pop('immutability_policy_expiry', None) # type: Optional[datetime.datetime]
immutability_policy_mode = kwargs.pop('immutability_policy_mode', None) # type: Optional[Union[str, "_models.BlobImmutabilityPolicyMode"]]
legal_hold = kwargs.pop('legal_hold', None) # type: Optional[bool]
accept = "application/xml"
# Construct URL
_url = kwargs.pop("template_url", "{url}/{containerName}/{blob}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, 'str', skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any]
_query_parameters['comp'] = _SERIALIZER.query("comp", comp, 'str')
if timeout is not None:
_query_parameters['timeout'] = _SERIALIZER.query("timeout", timeout, 'int', minimum=0)
# Construct headers
_header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any]
if blob_cache_control is not None:
_header_parameters['x-ms-blob-cache-control'] = _SERIALIZER.header("blob_cache_control", blob_cache_control, 'str')
if blob_content_type is not None:
_header_parameters['x-ms-blob-content-type'] = _SERIALIZER.header("blob_content_type", blob_content_type, 'str')
if blob_content_encoding is not None:
_header_parameters['x-ms-blob-content-encoding'] = _SERIALIZER.header("blob_content_encoding", blob_content_encoding, 'str')
if blob_content_language is not None:
_header_parameters['x-ms-blob-content-language'] = _SERIALIZER.header("blob_content_language", blob_content_language, 'str')
if blob_content_md5 is not None:
_header_parameters['x-ms-blob-content-md5'] = _SERIALIZER.header("blob_content_md5", blob_content_md5, 'bytearray')
if transactional_content_md5 is not None:
_header_parameters['Content-MD5'] = _SERIALIZER.header("transactional_content_md5", transactional_content_md5, 'bytearray')
if transactional_content_crc64 is not None:
_header_parameters['x-ms-content-crc64'] = _SERIALIZER.header("transactional_content_crc64", transactional_content_crc64, 'bytearray')
if metadata is not None:
_header_parameters['x-ms-meta'] = _SERIALIZER.header("metadata", metadata, '{str}')
if lease_id is not None:
_header_parameters['x-ms-lease-id'] = _SERIALIZER.header("lease_id", lease_id, 'str')
if blob_content_disposition is not None:
_header_parameters['x-ms-blob-content-disposition'] = _SERIALIZER.header("blob_content_disposition", blob_content_disposition, 'str')
if encryption_key is not None:
_header_parameters['x-ms-encryption-key'] = _SERIALIZER.header("encryption_key", encryption_key, 'str')
if encryption_key_sha256 is not None:
_header_parameters['x-ms-encryption-key-sha256'] = _SERIALIZER.header("encryption_key_sha256", encryption_key_sha256, 'str')
if encryption_algorithm is not None:
_header_parameters['x-ms-encryption-algorithm'] = _SERIALIZER.header("encryption_algorithm", encryption_algorithm, 'str')
if encryption_scope is not None:
_header_parameters['x-ms-encryption-scope'] = _SERIALIZER.header("encryption_scope", encryption_scope, 'str')
if tier is not None:
_header_parameters['x-ms-access-tier'] = _SERIALIZER.header("tier", tier, 'str')
if if_modified_since is not None:
_header_parameters['If-Modified-Since'] = _SERIALIZER.header("if_modified_since", if_modified_since, 'rfc-1123')
if if_unmodified_since is not None:
_header_parameters['If-Unmodified-Since'] = _SERIALIZER.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')
if if_match is not None:
_header_parameters['If-Match'] = _SERIALIZER.header("if_match", if_match, 'str')
if if_none_match is not None:
_header_parameters['If-None-Match'] = _SERIALIZER.header("if_none_match", if_none_match, 'str')
if if_tags is not None:
_header_parameters['x-ms-if-tags'] = _SERIALIZER.header("if_tags", if_tags, 'str')
_header_parameters['x-ms-version'] = _SERIALIZER.header("version", version, 'str')
if request_id_parameter is not None:
_header_parameters['x-ms-client-request-id'] = _SERIALIZER.header("request_id_parameter", request_id_parameter, 'str')
if blob_tags_string is not None:
_header_parameters['x-ms-tags'] = _SERIALIZER.header("blob_tags_string", blob_tags_string, 'str')
if immutability_policy_expiry is not None:
_header_parameters['x-ms-immutability-policy-until-date'] = _SERIALIZER.header("immutability_policy_expiry", immutability_policy_expiry, 'rfc-1123')
if immutability_policy_mode is not None:
_header_parameters['x-ms-immutability-policy-mode'] = _SERIALIZER.header("immutability_policy_mode", immutability_policy_mode, 'str')
if legal_hold is not None:
_header_parameters['x-ms-legal-hold'] = _SERIALIZER.header("legal_hold", legal_hold, 'bool')
if content_type is not None:
_header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
_header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="PUT",
url=_url,
params=_query_parameters,
headers=_header_parameters,
**kwargs
)
def build_get_block_list_request(
url, # type: str
**kwargs # type: Any
):
# type: (...) -> HttpRequest
comp = kwargs.pop('comp', "blocklist") # type: str
version = kwargs.pop('version', "2021-04-10") # type: str
snapshot = kwargs.pop('snapshot', None) # type: Optional[str]
list_type = kwargs.pop('list_type', "committed") # type: Union[str, "_models.BlockListType"]
timeout = kwargs.pop('timeout', None) # type: Optional[int]
lease_id = kwargs.pop('lease_id', None) # type: Optional[str]
if_tags = kwargs.pop('if_tags', None) # type: Optional[str]
request_id_parameter = kwargs.pop('request_id_parameter', None) # type: Optional[str]
accept = "application/xml"
# Construct URL
_url = kwargs.pop("template_url", "{url}/{containerName}/{blob}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, 'str', skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any]
_query_parameters['comp'] = _SERIALIZER.query("comp", comp, 'str')
if snapshot is not None:
_query_parameters['snapshot'] = _SERIALIZER.query("snapshot", snapshot, 'str')
_query_parameters['blocklisttype'] = _SERIALIZER.query("list_type", list_type, 'str')
if timeout is not None:
_query_parameters['timeout'] = _SERIALIZER.query("timeout", timeout, 'int', minimum=0)
# Construct headers
_header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any]
if lease_id is not None:
_header_parameters['x-ms-lease-id'] = _SERIALIZER.header("lease_id", lease_id, 'str')
if if_tags is not None:
_header_parameters['x-ms-if-tags'] = _SERIALIZER.header("if_tags", if_tags, 'str')
_header_parameters['x-ms-version'] = _SERIALIZER.header("version", version, 'str')
if request_id_parameter is not None:
_header_parameters['x-ms-client-request-id'] = _SERIALIZER.header("request_id_parameter", request_id_parameter, 'str')
_header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
return HttpRequest(
method="GET",
url=_url,
params=_query_parameters,
headers=_header_parameters,
**kwargs
)
# fmt: on
class BlockBlobOperations(object):
"""
.. warning::
**DO NOT** instantiate this class directly.
Instead, you should access the following operations through
:class:`~azure.storage.blob.AzureBlobStorage`'s
:attr:`block_blob` attribute.
"""
models = _models
def __init__(self, *args, **kwargs):
args = list(args)
self._client = args.pop(0) if args else kwargs.pop("client")
self._config = args.pop(0) if args else kwargs.pop("config")
self._serialize = args.pop(0) if args else kwargs.pop("serializer")
self._deserialize = args.pop(0) if args else kwargs.pop("deserializer")
@distributed_trace
def upload( # pylint: disable=inconsistent-return-statements
self,
content_length, # type: int
body, # type: IO
timeout=None, # type: Optional[int]
transactional_content_md5=None, # type: Optional[bytearray]
metadata=None, # type: Optional[Dict[str, str]]
tier=None, # type: Optional[Union[str, "_models.AccessTierOptional"]]
request_id_parameter=None, # type: Optional[str]
blob_tags_string=None, # type: Optional[str]
immutability_policy_expiry=None, # type: Optional[datetime.datetime]
immutability_policy_mode=None, # type: Optional[Union[str, "_models.BlobImmutabilityPolicyMode"]]
legal_hold=None, # type: Optional[bool]
blob_http_headers=None, # type: Optional["_models.BlobHTTPHeaders"]
lease_access_conditions=None, # type: Optional["_models.LeaseAccessConditions"]
cpk_info=None, # type: Optional["_models.CpkInfo"]
cpk_scope_info=None, # type: Optional["_models.CpkScopeInfo"]
modified_access_conditions=None, # type: Optional["_models.ModifiedAccessConditions"]
**kwargs # type: Any
):
# type: (...) -> None
"""The Upload Block Blob operation updates the content of an existing block blob. Updating an
existing block blob overwrites any existing metadata on the blob. Partial updates are not
supported with Put Blob; the content of the existing blob is overwritten with the content of
the new blob. To perform a partial update of the content of a block blob, use the Put Block
List operation.
:param content_length: The length of the request.
:type content_length: long
:param body: Initial data.
:type body: IO
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param transactional_content_md5: Specify the transactional md5 for the body, to be validated
by the service. Default value is None.
:type transactional_content_md5: bytearray
:param metadata: Optional. Specifies a user-defined name-value pair associated with the blob.
If no name-value pairs are specified, the operation will copy the metadata from the source blob
or file to the destination blob. If one or more name-value pairs are specified, the destination
blob is created with the specified metadata, and metadata is not copied from the source blob or
file. Note that beginning with version 2009-09-19, metadata names must adhere to the naming
rules for C# identifiers. See Naming and Referencing Containers, Blobs, and Metadata for more
information. Default value is None.
:type metadata: dict[str, str]
:param tier: Optional. Indicates the tier to be set on the blob. Default value is None.
:type tier: str or ~azure.storage.blob.models.AccessTierOptional
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:param blob_tags_string: Optional. Used to set blob tags in various blob operations. Default
value is None.
:type blob_tags_string: str
:param immutability_policy_expiry: Specifies the date time when the blobs immutability policy
is set to expire. Default value is None.
:type immutability_policy_expiry: ~datetime.datetime
:param immutability_policy_mode: Specifies the immutability policy mode to set on the blob.
Default value is None.
:type immutability_policy_mode: str or ~azure.storage.blob.models.BlobImmutabilityPolicyMode
:param legal_hold: Specified if a legal hold should be set on the blob. Default value is None.
:type legal_hold: bool
:param blob_http_headers: Parameter group. Default value is None.
:type blob_http_headers: ~azure.storage.blob.models.BlobHTTPHeaders
:param lease_access_conditions: Parameter group. Default value is None.
:type lease_access_conditions: ~azure.storage.blob.models.LeaseAccessConditions
:param cpk_info: Parameter group. Default value is None.
:type cpk_info: ~azure.storage.blob.models.CpkInfo
:param cpk_scope_info: Parameter group. Default value is None.
:type cpk_scope_info: ~azure.storage.blob.models.CpkScopeInfo
:param modified_access_conditions: Parameter group. Default value is None.
:type modified_access_conditions: ~azure.storage.blob.models.ModifiedAccessConditions
:keyword blob_type: Specifies the type of blob to create: block blob, page blob, or append
blob. Default value is "BlockBlob". Note that overriding this default value may result in
unsupported behavior.
:paramtype blob_type: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
blob_type = kwargs.pop('blob_type', "BlockBlob") # type: str
content_type = kwargs.pop('content_type', "application/octet-stream") # type: Optional[str]
_blob_content_type = None
_blob_content_encoding = None
_blob_content_language = None
_blob_content_md5 = None
_blob_cache_control = None
_lease_id = None
_blob_content_disposition = None
_encryption_key = None
_encryption_key_sha256 = None
_encryption_algorithm = None
_encryption_scope = None
_if_modified_since = None
_if_unmodified_since = None
_if_match = None
_if_none_match = None
_if_tags = None
if blob_http_headers is not None:
_blob_content_type = blob_http_headers.blob_content_type
_blob_content_encoding = blob_http_headers.blob_content_encoding
_blob_content_language = blob_http_headers.blob_content_language
_blob_content_md5 = blob_http_headers.blob_content_md5
_blob_cache_control = blob_http_headers.blob_cache_control
if lease_access_conditions is not None:
_lease_id = lease_access_conditions.lease_id
if blob_http_headers is not None:
_blob_content_disposition = blob_http_headers.blob_content_disposition
if cpk_info is not None:
_encryption_key = cpk_info.encryption_key
_encryption_key_sha256 = cpk_info.encryption_key_sha256
_encryption_algorithm = cpk_info.encryption_algorithm
if cpk_scope_info is not None:
_encryption_scope = cpk_scope_info.encryption_scope
if modified_access_conditions is not None:
_if_modified_since = modified_access_conditions.if_modified_since
_if_unmodified_since = modified_access_conditions.if_unmodified_since
_if_match = modified_access_conditions.if_match
_if_none_match = modified_access_conditions.if_none_match
_if_tags = modified_access_conditions.if_tags
_content = body
request = build_upload_request(
url=self._config.url,
blob_type=blob_type,
version=self._config.version,
content_type=content_type,
content=_content,
content_length=content_length,
timeout=timeout,
transactional_content_md5=transactional_content_md5,
blob_content_type=_blob_content_type,
blob_content_encoding=_blob_content_encoding,
blob_content_language=_blob_content_language,
blob_content_md5=_blob_content_md5,
blob_cache_control=_blob_cache_control,
metadata=metadata,
lease_id=_lease_id,
blob_content_disposition=_blob_content_disposition,
encryption_key=_encryption_key,
encryption_key_sha256=_encryption_key_sha256,
encryption_algorithm=_encryption_algorithm,
encryption_scope=_encryption_scope,
tier=tier,
if_modified_since=_if_modified_since,
if_unmodified_since=_if_unmodified_since,
if_match=_if_match,
if_none_match=_if_none_match,
if_tags=_if_tags,
request_id_parameter=request_id_parameter,
blob_tags_string=blob_tags_string,
immutability_policy_expiry=immutability_policy_expiry,
immutability_policy_mode=immutability_policy_mode,
legal_hold=legal_hold,
template_url=self.upload.metadata['url'],
)
request = _convert_request(request)
request.url = self._client.format_url(request.url)
pipeline_response = self._client._pipeline.run( # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers['ETag']=self._deserialize('str', response.headers.get('ETag'))
response_headers['Last-Modified']=self._deserialize('rfc-1123', response.headers.get('Last-Modified'))
response_headers['Content-MD5']=self._deserialize('bytearray', response.headers.get('Content-MD5'))
response_headers['x-ms-client-request-id']=self._deserialize('str', response.headers.get('x-ms-client-request-id'))
response_headers['x-ms-request-id']=self._deserialize('str', response.headers.get('x-ms-request-id'))
response_headers['x-ms-version']=self._deserialize('str', response.headers.get('x-ms-version'))
response_headers['x-ms-version-id']=self._deserialize('str', response.headers.get('x-ms-version-id'))
response_headers['Date']=self._deserialize('rfc-1123', response.headers.get('Date'))
response_headers['x-ms-request-server-encrypted']=self._deserialize('bool', response.headers.get('x-ms-request-server-encrypted'))
response_headers['x-ms-encryption-key-sha256']=self._deserialize('str', response.headers.get('x-ms-encryption-key-sha256'))
response_headers['x-ms-encryption-scope']=self._deserialize('str', response.headers.get('x-ms-encryption-scope'))
if cls:
return cls(pipeline_response, None, response_headers)
upload.metadata = {'url': "{url}/{containerName}/{blob}"} # type: ignore
@distributed_trace
def put_blob_from_url( # pylint: disable=inconsistent-return-statements
self,
content_length, # type: int
copy_source, # type: str
timeout=None, # type: Optional[int]
transactional_content_md5=None, # type: Optional[bytearray]
metadata=None, # type: Optional[Dict[str, str]]
tier=None, # type: Optional[Union[str, "_models.AccessTierOptional"]]
request_id_parameter=None, # type: Optional[str]
source_content_md5=None, # type: Optional[bytearray]
blob_tags_string=None, # type: Optional[str]
copy_source_blob_properties=None, # type: Optional[bool]
copy_source_authorization=None, # type: Optional[str]
blob_http_headers=None, # type: Optional["_models.BlobHTTPHeaders"]
lease_access_conditions=None, # type: Optional["_models.LeaseAccessConditions"]
cpk_info=None, # type: Optional["_models.CpkInfo"]
cpk_scope_info=None, # type: Optional["_models.CpkScopeInfo"]
modified_access_conditions=None, # type: Optional["_models.ModifiedAccessConditions"]
source_modified_access_conditions=None, # type: Optional["_models.SourceModifiedAccessConditions"]
**kwargs # type: Any
):
# type: (...) -> None
"""The Put Blob from URL operation creates a new Block Blob where the contents of the blob are
read from a given URL. This API is supported beginning with the 2020-04-08 version. Partial
updates are not supported with Put Blob from URL; the content of an existing blob is
overwritten with the content of the new blob. To perform partial updates to a block blob’s
contents using a source URL, use the Put Block from URL API in conjunction with Put Block List.
:param content_length: The length of the request.
:type content_length: long
:param copy_source: Specifies the name of the source page blob snapshot. This value is a URL of
up to 2 KB in length that specifies a page blob snapshot. The value should be URL-encoded as it
would appear in a request URI. The source blob must either be public or must be authenticated
via a shared access signature.
:type copy_source: str
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param transactional_content_md5: Specify the transactional md5 for the body, to be validated
by the service. Default value is None.
:type transactional_content_md5: bytearray
:param metadata: Optional. Specifies a user-defined name-value pair associated with the blob.
If no name-value pairs are specified, the operation will copy the metadata from the source blob
or file to the destination blob. If one or more name-value pairs are specified, the destination
blob is created with the specified metadata, and metadata is not copied from the source blob or
file. Note that beginning with version 2009-09-19, metadata names must adhere to the naming
rules for C# identifiers. See Naming and Referencing Containers, Blobs, and Metadata for more
information. Default value is None.
:type metadata: dict[str, str]
:param tier: Optional. Indicates the tier to be set on the blob. Default value is None.
:type tier: str or ~azure.storage.blob.models.AccessTierOptional
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:param source_content_md5: Specify the md5 calculated for the range of bytes that must be read
from the copy source. Default value is None.
:type source_content_md5: bytearray
:param blob_tags_string: Optional. Used to set blob tags in various blob operations. Default
value is None.
:type blob_tags_string: str
:param copy_source_blob_properties: Optional, default is true. Indicates if properties from
the source blob should be copied.
:type copy_source_blob_properties: bool
:param copy_source_authorization: Only Bearer type is supported. Credentials should be a valid
OAuth access token to copy source. Default value is None.
:type copy_source_authorization: str
:param blob_http_headers: Parameter group. Default value is None.
:type blob_http_headers: ~azure.storage.blob.models.BlobHTTPHeaders
:param lease_access_conditions: Parameter group. Default value is None.
:type lease_access_conditions: ~azure.storage.blob.models.LeaseAccessConditions
:param cpk_info: Parameter group. Default value is None.
:type cpk_info: ~azure.storage.blob.models.CpkInfo
:param cpk_scope_info: Parameter group. Default value is None.
:type cpk_scope_info: ~azure.storage.blob.models.CpkScopeInfo
:param modified_access_conditions: Parameter group. Default value is None.
:type modified_access_conditions: ~azure.storage.blob.models.ModifiedAccessConditions
:param source_modified_access_conditions: Parameter group. Default value is None.
:type source_modified_access_conditions:
~azure.storage.blob.models.SourceModifiedAccessConditions
:keyword blob_type: Specifies the type of blob to create: block blob, page blob, or append
blob. Default value is "BlockBlob". Note that overriding this default value may result in
unsupported behavior.
:paramtype blob_type: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
blob_type = kwargs.pop('blob_type', "BlockBlob") # type: str
_blob_content_type = None
_blob_content_encoding = None
_blob_content_language = None
_blob_content_md5 = None
_blob_cache_control = None
_lease_id = None
_blob_content_disposition = None
_encryption_key = None
_encryption_key_sha256 = None
_encryption_algorithm = None
_encryption_scope = None
_if_modified_since = None
_if_unmodified_since = None
_if_match = None
_if_none_match = None
_if_tags = None
_source_if_modified_since = None
_source_if_unmodified_since = None
_source_if_match = None
_source_if_none_match = None
_source_if_tags = None
if blob_http_headers is not None:
_blob_content_type = blob_http_headers.blob_content_type
_blob_content_encoding = blob_http_headers.blob_content_encoding
_blob_content_language = blob_http_headers.blob_content_language
_blob_content_md5 = blob_http_headers.blob_content_md5
_blob_cache_control = blob_http_headers.blob_cache_control
if lease_access_conditions is not None:
_lease_id = lease_access_conditions.lease_id
if blob_http_headers is not None:
_blob_content_disposition = blob_http_headers.blob_content_disposition
if cpk_info is not None:
_encryption_key = cpk_info.encryption_key
_encryption_key_sha256 = cpk_info.encryption_key_sha256
_encryption_algorithm = cpk_info.encryption_algorithm
if cpk_scope_info is not None:
_encryption_scope = cpk_scope_info.encryption_scope
if modified_access_conditions is not None:
_if_modified_since = modified_access_conditions.if_modified_since
_if_unmodified_since = modified_access_conditions.if_unmodified_since
_if_match = modified_access_conditions.if_match
_if_none_match = modified_access_conditions.if_none_match
_if_tags = modified_access_conditions.if_tags
if source_modified_access_conditions is not None:
_source_if_modified_since = source_modified_access_conditions.source_if_modified_since
_source_if_unmodified_since = source_modified_access_conditions.source_if_unmodified_since
_source_if_match = source_modified_access_conditions.source_if_match
_source_if_none_match = source_modified_access_conditions.source_if_none_match
_source_if_tags = source_modified_access_conditions.source_if_tags
request = build_put_blob_from_url_request(
url=self._config.url,
blob_type=blob_type,
version=self._config.version,
content_length=content_length,
copy_source=copy_source,
timeout=timeout,
transactional_content_md5=transactional_content_md5,
blob_content_type=_blob_content_type,
blob_content_encoding=_blob_content_encoding,
blob_content_language=_blob_content_language,
blob_content_md5=_blob_content_md5,
blob_cache_control=_blob_cache_control,
metadata=metadata,
lease_id=_lease_id,
blob_content_disposition=_blob_content_disposition,
encryption_key=_encryption_key,
encryption_key_sha256=_encryption_key_sha256,
encryption_algorithm=_encryption_algorithm,
encryption_scope=_encryption_scope,
tier=tier,
if_modified_since=_if_modified_since,
if_unmodified_since=_if_unmodified_since,
if_match=_if_match,
if_none_match=_if_none_match,
if_tags=_if_tags,
source_if_modified_since=_source_if_modified_since,
source_if_unmodified_since=_source_if_unmodified_since,
source_if_match=_source_if_match,
source_if_none_match=_source_if_none_match,
source_if_tags=_source_if_tags,
request_id_parameter=request_id_parameter,
source_content_md5=source_content_md5,
blob_tags_string=blob_tags_string,
copy_source_blob_properties=copy_source_blob_properties,
copy_source_authorization=copy_source_authorization,
template_url=self.put_blob_from_url.metadata['url'],
)
request = _convert_request(request)
request.url = self._client.format_url(request.url)
pipeline_response = self._client._pipeline.run( # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers['ETag']=self._deserialize('str', response.headers.get('ETag'))
response_headers['Last-Modified']=self._deserialize('rfc-1123', response.headers.get('Last-Modified'))
response_headers['Content-MD5']=self._deserialize('bytearray', response.headers.get('Content-MD5'))
response_headers['x-ms-client-request-id']=self._deserialize('str', response.headers.get('x-ms-client-request-id'))
response_headers['x-ms-request-id']=self._deserialize('str', response.headers.get('x-ms-request-id'))
response_headers['x-ms-version']=self._deserialize('str', response.headers.get('x-ms-version'))
response_headers['x-ms-version-id']=self._deserialize('str', response.headers.get('x-ms-version-id'))
response_headers['Date']=self._deserialize('rfc-1123', response.headers.get('Date'))
response_headers['x-ms-request-server-encrypted']=self._deserialize('bool', response.headers.get('x-ms-request-server-encrypted'))
response_headers['x-ms-encryption-key-sha256']=self._deserialize('str', response.headers.get('x-ms-encryption-key-sha256'))
response_headers['x-ms-encryption-scope']=self._deserialize('str', response.headers.get('x-ms-encryption-scope'))
if cls:
return cls(pipeline_response, None, response_headers)
put_blob_from_url.metadata = {'url': "{url}/{containerName}/{blob}"} # type: ignore
@distributed_trace
def stage_block( # pylint: disable=inconsistent-return-statements
self,
block_id, # type: str
content_length, # type: int
body, # type: IO
transactional_content_md5=None, # type: Optional[bytearray]
transactional_content_crc64=None, # type: Optional[bytearray]
timeout=None, # type: Optional[int]
request_id_parameter=None, # type: Optional[str]
lease_access_conditions=None, # type: Optional["_models.LeaseAccessConditions"]
cpk_info=None, # type: Optional["_models.CpkInfo"]
cpk_scope_info=None, # type: Optional["_models.CpkScopeInfo"]
**kwargs # type: Any
):
# type: (...) -> None
"""The Stage Block operation creates a new block to be committed as part of a blob.
:param block_id: A valid Base64 string value that identifies the block. Prior to encoding, the
string must be less than or equal to 64 bytes in size. For a given blob, the length of the
value specified for the blockid parameter must be the same size for each block.
:type block_id: str
:param content_length: The length of the request.
:type content_length: long
:param body: Initial data.
:type body: IO
:param transactional_content_md5: Specify the transactional md5 for the body, to be validated
by the service. Default value is None.
:type transactional_content_md5: bytearray
:param transactional_content_crc64: Specify the transactional crc64 for the body, to be
validated by the service. Default value is None.
:type transactional_content_crc64: bytearray
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:param lease_access_conditions: Parameter group. Default value is None.
:type lease_access_conditions: ~azure.storage.blob.models.LeaseAccessConditions
:param cpk_info: Parameter group. Default value is None.
:type cpk_info: ~azure.storage.blob.models.CpkInfo
:param cpk_scope_info: Parameter group. Default value is None.
:type cpk_scope_info: ~azure.storage.blob.models.CpkScopeInfo
:keyword comp: comp. Default value is "block". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
comp = kwargs.pop('comp', "block") # type: str
content_type = kwargs.pop('content_type', "application/octet-stream") # type: Optional[str]
_lease_id = None
_encryption_key = None
_encryption_key_sha256 = None
_encryption_algorithm = None
_encryption_scope = None
if lease_access_conditions is not None:
_lease_id = lease_access_conditions.lease_id
if cpk_info is not None:
_encryption_key = cpk_info.encryption_key
_encryption_key_sha256 = cpk_info.encryption_key_sha256
_encryption_algorithm = cpk_info.encryption_algorithm
if cpk_scope_info is not None:
_encryption_scope = cpk_scope_info.encryption_scope
_content = body
request = build_stage_block_request(
url=self._config.url,
comp=comp,
version=self._config.version,
content_type=content_type,
content=_content,
block_id=block_id,
content_length=content_length,
transactional_content_md5=transactional_content_md5,
transactional_content_crc64=transactional_content_crc64,
timeout=timeout,
lease_id=_lease_id,
encryption_key=_encryption_key,
encryption_key_sha256=_encryption_key_sha256,
encryption_algorithm=_encryption_algorithm,
encryption_scope=_encryption_scope,
request_id_parameter=request_id_parameter,
template_url=self.stage_block.metadata['url'],
)
request = _convert_request(request)
request.url = self._client.format_url(request.url)
pipeline_response = self._client._pipeline.run( # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers['Content-MD5']=self._deserialize('bytearray', response.headers.get('Content-MD5'))
response_headers['x-ms-client-request-id']=self._deserialize('str', response.headers.get('x-ms-client-request-id'))
response_headers['x-ms-request-id']=self._deserialize('str', response.headers.get('x-ms-request-id'))
response_headers['x-ms-version']=self._deserialize('str', response.headers.get('x-ms-version'))
response_headers['Date']=self._deserialize('rfc-1123', response.headers.get('Date'))
response_headers['x-ms-content-crc64']=self._deserialize('bytearray', response.headers.get('x-ms-content-crc64'))
response_headers['x-ms-request-server-encrypted']=self._deserialize('bool', response.headers.get('x-ms-request-server-encrypted'))
response_headers['x-ms-encryption-key-sha256']=self._deserialize('str', response.headers.get('x-ms-encryption-key-sha256'))
response_headers['x-ms-encryption-scope']=self._deserialize('str', response.headers.get('x-ms-encryption-scope'))
if cls:
return cls(pipeline_response, None, response_headers)
stage_block.metadata = {'url': "{url}/{containerName}/{blob}"} # type: ignore
@distributed_trace
def stage_block_from_url( # pylint: disable=inconsistent-return-statements
self,
block_id, # type: str
content_length, # type: int
source_url, # type: str
source_range=None, # type: Optional[str]
source_content_md5=None, # type: Optional[bytearray]
source_contentcrc64=None, # type: Optional[bytearray]
timeout=None, # type: Optional[int]
request_id_parameter=None, # type: Optional[str]
copy_source_authorization=None, # type: Optional[str]
cpk_info=None, # type: Optional["_models.CpkInfo"]
cpk_scope_info=None, # type: Optional["_models.CpkScopeInfo"]
lease_access_conditions=None, # type: Optional["_models.LeaseAccessConditions"]
source_modified_access_conditions=None, # type: Optional["_models.SourceModifiedAccessConditions"]
**kwargs # type: Any
):
# type: (...) -> None
"""The Stage Block operation creates a new block to be committed as part of a blob where the
contents are read from a URL.
:param block_id: A valid Base64 string value that identifies the block. Prior to encoding, the
string must be less than or equal to 64 bytes in size. For a given blob, the length of the
value specified for the blockid parameter must be the same size for each block.
:type block_id: str
:param content_length: The length of the request.
:type content_length: long
:param source_url: Specify a URL to the copy source.
:type source_url: str
:param source_range: Bytes of source data in the specified range. Default value is None.
:type source_range: str
:param source_content_md5: Specify the md5 calculated for the range of bytes that must be read
from the copy source. Default value is None.
:type source_content_md5: bytearray
:param source_contentcrc64: Specify the crc64 calculated for the range of bytes that must be
read from the copy source. Default value is None.
:type source_contentcrc64: bytearray
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:param copy_source_authorization: Only Bearer type is supported. Credentials should be a valid
OAuth access token to copy source. Default value is None.
:type copy_source_authorization: str
:param cpk_info: Parameter group. Default value is None.
:type cpk_info: ~azure.storage.blob.models.CpkInfo
:param cpk_scope_info: Parameter group. Default value is None.
:type cpk_scope_info: ~azure.storage.blob.models.CpkScopeInfo
:param lease_access_conditions: Parameter group. Default value is None.
:type lease_access_conditions: ~azure.storage.blob.models.LeaseAccessConditions
:param source_modified_access_conditions: Parameter group. Default value is None.
:type source_modified_access_conditions:
~azure.storage.blob.models.SourceModifiedAccessConditions
:keyword comp: comp. Default value is "block". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
comp = kwargs.pop('comp', "block") # type: str
_encryption_key = None
_encryption_key_sha256 = None
_encryption_algorithm = None
_encryption_scope = None
_lease_id = None
_source_if_modified_since = None
_source_if_unmodified_since = None
_source_if_match = None
_source_if_none_match = None
if cpk_info is not None:
_encryption_key = cpk_info.encryption_key
_encryption_key_sha256 = cpk_info.encryption_key_sha256
_encryption_algorithm = cpk_info.encryption_algorithm
if cpk_scope_info is not None:
_encryption_scope = cpk_scope_info.encryption_scope
if lease_access_conditions is not None:
_lease_id = lease_access_conditions.lease_id
if source_modified_access_conditions is not None:
_source_if_modified_since = source_modified_access_conditions.source_if_modified_since
_source_if_unmodified_since = source_modified_access_conditions.source_if_unmodified_since
_source_if_match = source_modified_access_conditions.source_if_match
_source_if_none_match = source_modified_access_conditions.source_if_none_match
request = build_stage_block_from_url_request(
url=self._config.url,
comp=comp,
version=self._config.version,
block_id=block_id,
content_length=content_length,
source_url=source_url,
source_range=source_range,
source_content_md5=source_content_md5,
source_contentcrc64=source_contentcrc64,
timeout=timeout,
encryption_key=_encryption_key,
encryption_key_sha256=_encryption_key_sha256,
encryption_algorithm=_encryption_algorithm,
encryption_scope=_encryption_scope,
lease_id=_lease_id,
source_if_modified_since=_source_if_modified_since,
source_if_unmodified_since=_source_if_unmodified_since,
source_if_match=_source_if_match,
source_if_none_match=_source_if_none_match,
request_id_parameter=request_id_parameter,
copy_source_authorization=copy_source_authorization,
template_url=self.stage_block_from_url.metadata['url'],
)
request = _convert_request(request)
request.url = self._client.format_url(request.url)
pipeline_response = self._client._pipeline.run( # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers['Content-MD5']=self._deserialize('bytearray', response.headers.get('Content-MD5'))
response_headers['x-ms-content-crc64']=self._deserialize('bytearray', response.headers.get('x-ms-content-crc64'))
response_headers['x-ms-client-request-id']=self._deserialize('str', response.headers.get('x-ms-client-request-id'))
response_headers['x-ms-request-id']=self._deserialize('str', response.headers.get('x-ms-request-id'))
response_headers['x-ms-version']=self._deserialize('str', response.headers.get('x-ms-version'))
response_headers['Date']=self._deserialize('rfc-1123', response.headers.get('Date'))
response_headers['x-ms-request-server-encrypted']=self._deserialize('bool', response.headers.get('x-ms-request-server-encrypted'))
response_headers['x-ms-encryption-key-sha256']=self._deserialize('str', response.headers.get('x-ms-encryption-key-sha256'))
response_headers['x-ms-encryption-scope']=self._deserialize('str', response.headers.get('x-ms-encryption-scope'))
if cls:
return cls(pipeline_response, None, response_headers)
stage_block_from_url.metadata = {'url': "{url}/{containerName}/{blob}"} # type: ignore
@distributed_trace
def commit_block_list( # pylint: disable=inconsistent-return-statements
self,
blocks, # type: "_models.BlockLookupList"
timeout=None, # type: Optional[int]
transactional_content_md5=None, # type: Optional[bytearray]
transactional_content_crc64=None, # type: Optional[bytearray]
metadata=None, # type: Optional[Dict[str, str]]
tier=None, # type: Optional[Union[str, "_models.AccessTierOptional"]]
request_id_parameter=None, # type: Optional[str]
blob_tags_string=None, # type: Optional[str]
immutability_policy_expiry=None, # type: Optional[datetime.datetime]
immutability_policy_mode=None, # type: Optional[Union[str, "_models.BlobImmutabilityPolicyMode"]]
legal_hold=None, # type: Optional[bool]
blob_http_headers=None, # type: Optional["_models.BlobHTTPHeaders"]
lease_access_conditions=None, # type: Optional["_models.LeaseAccessConditions"]
cpk_info=None, # type: Optional["_models.CpkInfo"]
cpk_scope_info=None, # type: Optional["_models.CpkScopeInfo"]
modified_access_conditions=None, # type: Optional["_models.ModifiedAccessConditions"]
**kwargs # type: Any
):
# type: (...) -> None
"""The Commit Block List operation writes a blob by specifying the list of block IDs that make up
the blob. In order to be written as part of a blob, a block must have been successfully written
to the server in a prior Put Block operation. You can call Put Block List to update a blob by
uploading only those blocks that have changed, then committing the new and existing blocks
together. You can do this by specifying whether to commit a block from the committed block list
or from the uncommitted block list, or to commit the most recently uploaded version of the
block, whichever list it may belong to.
:param blocks: Blob Blocks.
:type blocks: ~azure.storage.blob.models.BlockLookupList
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param transactional_content_md5: Specify the transactional md5 for the body, to be validated
by the service. Default value is None.
:type transactional_content_md5: bytearray
:param transactional_content_crc64: Specify the transactional crc64 for the body, to be
validated by the service. Default value is None.
:type transactional_content_crc64: bytearray
:param metadata: Optional. Specifies a user-defined name-value pair associated with the blob.
If no name-value pairs are specified, the operation will copy the metadata from the source blob
or file to the destination blob. If one or more name-value pairs are specified, the destination
blob is created with the specified metadata, and metadata is not copied from the source blob or
file. Note that beginning with version 2009-09-19, metadata names must adhere to the naming
rules for C# identifiers. See Naming and Referencing Containers, Blobs, and Metadata for more
information. Default value is None.
:type metadata: dict[str, str]
:param tier: Optional. Indicates the tier to be set on the blob. Default value is None.
:type tier: str or ~azure.storage.blob.models.AccessTierOptional
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:param blob_tags_string: Optional. Used to set blob tags in various blob operations. Default
value is None.
:type blob_tags_string: str
:param immutability_policy_expiry: Specifies the date time when the blobs immutability policy
is set to expire. Default value is None.
:type immutability_policy_expiry: ~datetime.datetime
:param immutability_policy_mode: Specifies the immutability policy mode to set on the blob.
Default value is None.
:type immutability_policy_mode: str or ~azure.storage.blob.models.BlobImmutabilityPolicyMode
:param legal_hold: Specified if a legal hold should be set on the blob. Default value is None.
:type legal_hold: bool
:param blob_http_headers: Parameter group. Default value is None.
:type blob_http_headers: ~azure.storage.blob.models.BlobHTTPHeaders
:param lease_access_conditions: Parameter group. Default value is None.
:type lease_access_conditions: ~azure.storage.blob.models.LeaseAccessConditions
:param cpk_info: Parameter group. Default value is None.
:type cpk_info: ~azure.storage.blob.models.CpkInfo
:param cpk_scope_info: Parameter group. Default value is None.
:type cpk_scope_info: ~azure.storage.blob.models.CpkScopeInfo
:param modified_access_conditions: Parameter group. Default value is None.
:type modified_access_conditions: ~azure.storage.blob.models.ModifiedAccessConditions
:keyword comp: comp. Default value is "blocklist". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
comp = kwargs.pop('comp', "blocklist") # type: str
content_type = kwargs.pop('content_type', "application/xml") # type: Optional[str]
_blob_cache_control = None
_blob_content_type = None
_blob_content_encoding = None
_blob_content_language = None
_blob_content_md5 = None
_lease_id = None
_blob_content_disposition = None
_encryption_key = None
_encryption_key_sha256 = None
_encryption_algorithm = None
_encryption_scope = None
_if_modified_since = None
_if_unmodified_since = None
_if_match = None
_if_none_match = None
_if_tags = None
if blob_http_headers is not None:
_blob_cache_control = blob_http_headers.blob_cache_control
_blob_content_type = blob_http_headers.blob_content_type
_blob_content_encoding = blob_http_headers.blob_content_encoding
_blob_content_language = blob_http_headers.blob_content_language
_blob_content_md5 = blob_http_headers.blob_content_md5
if lease_access_conditions is not None:
_lease_id = lease_access_conditions.lease_id
if blob_http_headers is not None:
_blob_content_disposition = blob_http_headers.blob_content_disposition
if cpk_info is not None:
_encryption_key = cpk_info.encryption_key
_encryption_key_sha256 = cpk_info.encryption_key_sha256
_encryption_algorithm = cpk_info.encryption_algorithm
if cpk_scope_info is not None:
_encryption_scope = cpk_scope_info.encryption_scope
if modified_access_conditions is not None:
_if_modified_since = modified_access_conditions.if_modified_since
_if_unmodified_since = modified_access_conditions.if_unmodified_since
_if_match = modified_access_conditions.if_match
_if_none_match = modified_access_conditions.if_none_match
_if_tags = modified_access_conditions.if_tags
_content = self._serialize.body(blocks, 'BlockLookupList', is_xml=True)
request = build_commit_block_list_request(
url=self._config.url,
comp=comp,
version=self._config.version,
content_type=content_type,
content=_content,
timeout=timeout,
blob_cache_control=_blob_cache_control,
blob_content_type=_blob_content_type,
blob_content_encoding=_blob_content_encoding,
blob_content_language=_blob_content_language,
blob_content_md5=_blob_content_md5,
transactional_content_md5=transactional_content_md5,
transactional_content_crc64=transactional_content_crc64,
metadata=metadata,
lease_id=_lease_id,
blob_content_disposition=_blob_content_disposition,
encryption_key=_encryption_key,
encryption_key_sha256=_encryption_key_sha256,
encryption_algorithm=_encryption_algorithm,
encryption_scope=_encryption_scope,
tier=tier,
if_modified_since=_if_modified_since,
if_unmodified_since=_if_unmodified_since,
if_match=_if_match,
if_none_match=_if_none_match,
if_tags=_if_tags,
request_id_parameter=request_id_parameter,
blob_tags_string=blob_tags_string,
immutability_policy_expiry=immutability_policy_expiry,
immutability_policy_mode=immutability_policy_mode,
legal_hold=legal_hold,
template_url=self.commit_block_list.metadata['url'],
)
request = _convert_request(request)
request.url = self._client.format_url(request.url)
pipeline_response = self._client._pipeline.run( # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [201]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers['ETag']=self._deserialize('str', response.headers.get('ETag'))
response_headers['Last-Modified']=self._deserialize('rfc-1123', response.headers.get('Last-Modified'))
response_headers['Content-MD5']=self._deserialize('bytearray', response.headers.get('Content-MD5'))
response_headers['x-ms-content-crc64']=self._deserialize('bytearray', response.headers.get('x-ms-content-crc64'))
response_headers['x-ms-client-request-id']=self._deserialize('str', response.headers.get('x-ms-client-request-id'))
response_headers['x-ms-request-id']=self._deserialize('str', response.headers.get('x-ms-request-id'))
response_headers['x-ms-version']=self._deserialize('str', response.headers.get('x-ms-version'))
response_headers['x-ms-version-id']=self._deserialize('str', response.headers.get('x-ms-version-id'))
response_headers['Date']=self._deserialize('rfc-1123', response.headers.get('Date'))
response_headers['x-ms-request-server-encrypted']=self._deserialize('bool', response.headers.get('x-ms-request-server-encrypted'))
response_headers['x-ms-encryption-key-sha256']=self._deserialize('str', response.headers.get('x-ms-encryption-key-sha256'))
response_headers['x-ms-encryption-scope']=self._deserialize('str', response.headers.get('x-ms-encryption-scope'))
if cls:
return cls(pipeline_response, None, response_headers)
commit_block_list.metadata = {'url': "{url}/{containerName}/{blob}"} # type: ignore
@distributed_trace
def get_block_list(
self,
snapshot=None, # type: Optional[str]
list_type="committed", # type: Union[str, "_models.BlockListType"]
timeout=None, # type: Optional[int]
request_id_parameter=None, # type: Optional[str]
lease_access_conditions=None, # type: Optional["_models.LeaseAccessConditions"]
modified_access_conditions=None, # type: Optional["_models.ModifiedAccessConditions"]
**kwargs # type: Any
):
# type: (...) -> "_models.BlockList"
"""The Get Block List operation retrieves the list of blocks that have been uploaded as part of a
block blob.
:param snapshot: The snapshot parameter is an opaque DateTime value that, when present,
specifies the blob snapshot to retrieve. For more information on working with blob snapshots,
see :code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/creating-a-snapshot-of-a-blob">Creating
a Snapshot of a Blob.</a>`. Default value is None.
:type snapshot: str
:param list_type: Specifies whether to return the list of committed blocks, the list of
uncommitted blocks, or both lists together. Default value is "committed".
:type list_type: str or ~azure.storage.blob.models.BlockListType
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:param lease_access_conditions: Parameter group. Default value is None.
:type lease_access_conditions: ~azure.storage.blob.models.LeaseAccessConditions
:param modified_access_conditions: Parameter group. Default value is None.
:type modified_access_conditions: ~azure.storage.blob.models.ModifiedAccessConditions
:keyword comp: comp. Default value is "blocklist". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: BlockList, or the result of cls(response)
:rtype: ~azure.storage.blob.models.BlockList
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["_models.BlockList"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
comp = kwargs.pop('comp', "blocklist") # type: str
_lease_id = None
_if_tags = None
if lease_access_conditions is not None:
_lease_id = lease_access_conditions.lease_id
if modified_access_conditions is not None:
_if_tags = modified_access_conditions.if_tags
request = build_get_block_list_request(
url=self._config.url,
comp=comp,
version=self._config.version,
snapshot=snapshot,
list_type=list_type,
timeout=timeout,
lease_id=_lease_id,
if_tags=_if_tags,
request_id_parameter=request_id_parameter,
template_url=self.get_block_list.metadata['url'],
)
request = _convert_request(request)
request.url = self._client.format_url(request.url)
pipeline_response = self._client._pipeline.run( # pylint: disable=protected-access
request,
stream=False,
**kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers['Last-Modified']=self._deserialize('rfc-1123', response.headers.get('Last-Modified'))
response_headers['ETag']=self._deserialize('str', response.headers.get('ETag'))
response_headers['Content-Type']=self._deserialize('str', response.headers.get('Content-Type'))
response_headers['x-ms-blob-content-length']=self._deserialize('long', response.headers.get('x-ms-blob-content-length'))
response_headers['x-ms-client-request-id']=self._deserialize('str', response.headers.get('x-ms-client-request-id'))
response_headers['x-ms-request-id']=self._deserialize('str', response.headers.get('x-ms-request-id'))
response_headers['x-ms-version']=self._deserialize('str', response.headers.get('x-ms-version'))
response_headers['Date']=self._deserialize('rfc-1123', response.headers.get('Date'))
deserialized = self._deserialize('BlockList', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
get_block_list.metadata = {'url': "{url}/{containerName}/{blob}"} # type: ignore
| 58.165043
| 156
| 0.702786
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| 1,641
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| 0
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| 0.158641
| 0.065943
| 0
| 0
| 0
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| 0
| 1
| 0.011207
| false
| 0
| 0.009483
| 0
| 0.033621
| 0
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|
0
| 7
|
352e49187af868db80ac91bf1eafa3ac7d6a68e6
| 51,496
|
py
|
Python
|
src/syft/proto/grid/messages/association_messages_pb2.py
|
dnabanita7/PySyft
|
ce2510e65f5bad382e88806bcde30fa38c3c76c4
|
[
"Apache-2.0"
] | 2
|
2020-10-19T19:18:46.000Z
|
2020-12-07T12:06:30.000Z
|
packages/syft/src/syft/proto/grid/messages/association_messages_pb2.py
|
Metrix1010/PySyft
|
6477f64b63dc285059c3766deab3993653cead2e
|
[
"Apache-2.0"
] | 5
|
2020-09-11T05:47:12.000Z
|
2020-10-13T08:36:17.000Z
|
packages/syft/src/syft/proto/grid/messages/association_messages_pb2.py
|
Metrix1010/PySyft
|
6477f64b63dc285059c3766deab3993653cead2e
|
[
"Apache-2.0"
] | 1
|
2020-10-15T06:13:38.000Z
|
2020-10-15T06:13:38.000Z
|
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: proto/grid/messages/association_messages.proto
"""Generated protocol buffer code."""
# third party
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
# syft absolute
from syft.proto.core.common import (
common_object_pb2 as proto_dot_core_dot_common_dot_common__object__pb2,
)
from syft.proto.core.io import address_pb2 as proto_dot_core_dot_io_dot_address__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name="proto/grid/messages/association_messages.proto",
package="syft.grid.messages",
syntax="proto3",
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_pb=b'\n.proto/grid/messages/association_messages.proto\x12\x12syft.grid.messages\x1a%proto/core/common/common_object.proto\x1a\x1bproto/core/io/address.proto"\xa8\x01\n\x1dSendAssociationRequestMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x95\x01\n\x1eSendAssociationRequestResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\xab\x01\n ReceiveAssociationRequestMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x98\x01\n!ReceiveAssociationRequestResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\xab\x01\n RespondAssociationRequestMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x98\x01\n!RespondAssociationRequestResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\xa7\x01\n\x1cGetAssociationRequestMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x94\x01\n\x1dGetAssociationRequestResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\xa8\x01\n\x1dGetAssociationRequestsMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x95\x01\n\x1eGetAssociationRequestsResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\xaa\x01\n\x1f\x44\x65leteAssociationRequestMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x97\x01\n DeleteAssociationRequestResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Addressb\x06proto3',
dependencies=[
proto_dot_core_dot_common_dot_common__object__pb2.DESCRIPTOR,
proto_dot_core_dot_io_dot_address__pb2.DESCRIPTOR,
],
)
_SENDASSOCIATIONREQUESTMESSAGE = _descriptor.Descriptor(
name="SendAssociationRequestMessage",
full_name="syft.grid.messages.SendAssociationRequestMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.SendAssociationRequestMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.SendAssociationRequestMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.SendAssociationRequestMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.SendAssociationRequestMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=139,
serialized_end=307,
)
_SENDASSOCIATIONREQUESTRESPONSE = _descriptor.Descriptor(
name="SendAssociationRequestResponse",
full_name="syft.grid.messages.SendAssociationRequestResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.SendAssociationRequestResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.SendAssociationRequestResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.SendAssociationRequestResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.SendAssociationRequestResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=310,
serialized_end=459,
)
_RECEIVEASSOCIATIONREQUESTMESSAGE = _descriptor.Descriptor(
name="ReceiveAssociationRequestMessage",
full_name="syft.grid.messages.ReceiveAssociationRequestMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.ReceiveAssociationRequestMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.ReceiveAssociationRequestMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.ReceiveAssociationRequestMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.ReceiveAssociationRequestMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=462,
serialized_end=633,
)
_RECEIVEASSOCIATIONREQUESTRESPONSE = _descriptor.Descriptor(
name="ReceiveAssociationRequestResponse",
full_name="syft.grid.messages.ReceiveAssociationRequestResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.ReceiveAssociationRequestResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.ReceiveAssociationRequestResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.ReceiveAssociationRequestResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.ReceiveAssociationRequestResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=636,
serialized_end=788,
)
_RESPONDASSOCIATIONREQUESTMESSAGE = _descriptor.Descriptor(
name="RespondAssociationRequestMessage",
full_name="syft.grid.messages.RespondAssociationRequestMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.RespondAssociationRequestMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.RespondAssociationRequestMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.RespondAssociationRequestMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.RespondAssociationRequestMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=791,
serialized_end=962,
)
_RESPONDASSOCIATIONREQUESTRESPONSE = _descriptor.Descriptor(
name="RespondAssociationRequestResponse",
full_name="syft.grid.messages.RespondAssociationRequestResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.RespondAssociationRequestResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.RespondAssociationRequestResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.RespondAssociationRequestResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.RespondAssociationRequestResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=965,
serialized_end=1117,
)
_GETASSOCIATIONREQUESTMESSAGE = _descriptor.Descriptor(
name="GetAssociationRequestMessage",
full_name="syft.grid.messages.GetAssociationRequestMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.GetAssociationRequestMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.GetAssociationRequestMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.GetAssociationRequestMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.GetAssociationRequestMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1120,
serialized_end=1287,
)
_GETASSOCIATIONREQUESTRESPONSE = _descriptor.Descriptor(
name="GetAssociationRequestResponse",
full_name="syft.grid.messages.GetAssociationRequestResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.GetAssociationRequestResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.GetAssociationRequestResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.GetAssociationRequestResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.GetAssociationRequestResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1290,
serialized_end=1438,
)
_GETASSOCIATIONREQUESTSMESSAGE = _descriptor.Descriptor(
name="GetAssociationRequestsMessage",
full_name="syft.grid.messages.GetAssociationRequestsMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.GetAssociationRequestsMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.GetAssociationRequestsMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.GetAssociationRequestsMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.GetAssociationRequestsMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1441,
serialized_end=1609,
)
_GETASSOCIATIONREQUESTSRESPONSE = _descriptor.Descriptor(
name="GetAssociationRequestsResponse",
full_name="syft.grid.messages.GetAssociationRequestsResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.GetAssociationRequestsResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.GetAssociationRequestsResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.GetAssociationRequestsResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.GetAssociationRequestsResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1612,
serialized_end=1761,
)
_DELETEASSOCIATIONREQUESTMESSAGE = _descriptor.Descriptor(
name="DeleteAssociationRequestMessage",
full_name="syft.grid.messages.DeleteAssociationRequestMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.DeleteAssociationRequestMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.DeleteAssociationRequestMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.DeleteAssociationRequestMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.DeleteAssociationRequestMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1764,
serialized_end=1934,
)
_DELETEASSOCIATIONREQUESTRESPONSE = _descriptor.Descriptor(
name="DeleteAssociationRequestResponse",
full_name="syft.grid.messages.DeleteAssociationRequestResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.DeleteAssociationRequestResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.DeleteAssociationRequestResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.DeleteAssociationRequestResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.DeleteAssociationRequestResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1937,
serialized_end=2088,
)
_SENDASSOCIATIONREQUESTMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_SENDASSOCIATIONREQUESTMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_SENDASSOCIATIONREQUESTMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_SENDASSOCIATIONREQUESTRESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_SENDASSOCIATIONREQUESTRESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_RECEIVEASSOCIATIONREQUESTMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_RECEIVEASSOCIATIONREQUESTMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_RECEIVEASSOCIATIONREQUESTMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_RECEIVEASSOCIATIONREQUESTRESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_RECEIVEASSOCIATIONREQUESTRESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_RESPONDASSOCIATIONREQUESTMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_RESPONDASSOCIATIONREQUESTMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_RESPONDASSOCIATIONREQUESTMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_RESPONDASSOCIATIONREQUESTRESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_RESPONDASSOCIATIONREQUESTRESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETASSOCIATIONREQUESTMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_GETASSOCIATIONREQUESTMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETASSOCIATIONREQUESTMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETASSOCIATIONREQUESTRESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_GETASSOCIATIONREQUESTRESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETASSOCIATIONREQUESTSMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_GETASSOCIATIONREQUESTSMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETASSOCIATIONREQUESTSMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETASSOCIATIONREQUESTSRESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_GETASSOCIATIONREQUESTSRESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_DELETEASSOCIATIONREQUESTMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_DELETEASSOCIATIONREQUESTMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_DELETEASSOCIATIONREQUESTMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_DELETEASSOCIATIONREQUESTRESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_DELETEASSOCIATIONREQUESTRESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
DESCRIPTOR.message_types_by_name[
"SendAssociationRequestMessage"
] = _SENDASSOCIATIONREQUESTMESSAGE
DESCRIPTOR.message_types_by_name[
"SendAssociationRequestResponse"
] = _SENDASSOCIATIONREQUESTRESPONSE
DESCRIPTOR.message_types_by_name[
"ReceiveAssociationRequestMessage"
] = _RECEIVEASSOCIATIONREQUESTMESSAGE
DESCRIPTOR.message_types_by_name[
"ReceiveAssociationRequestResponse"
] = _RECEIVEASSOCIATIONREQUESTRESPONSE
DESCRIPTOR.message_types_by_name[
"RespondAssociationRequestMessage"
] = _RESPONDASSOCIATIONREQUESTMESSAGE
DESCRIPTOR.message_types_by_name[
"RespondAssociationRequestResponse"
] = _RESPONDASSOCIATIONREQUESTRESPONSE
DESCRIPTOR.message_types_by_name[
"GetAssociationRequestMessage"
] = _GETASSOCIATIONREQUESTMESSAGE
DESCRIPTOR.message_types_by_name[
"GetAssociationRequestResponse"
] = _GETASSOCIATIONREQUESTRESPONSE
DESCRIPTOR.message_types_by_name[
"GetAssociationRequestsMessage"
] = _GETASSOCIATIONREQUESTSMESSAGE
DESCRIPTOR.message_types_by_name[
"GetAssociationRequestsResponse"
] = _GETASSOCIATIONREQUESTSRESPONSE
DESCRIPTOR.message_types_by_name[
"DeleteAssociationRequestMessage"
] = _DELETEASSOCIATIONREQUESTMESSAGE
DESCRIPTOR.message_types_by_name[
"DeleteAssociationRequestResponse"
] = _DELETEASSOCIATIONREQUESTRESPONSE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
SendAssociationRequestMessage = _reflection.GeneratedProtocolMessageType(
"SendAssociationRequestMessage",
(_message.Message,),
{
"DESCRIPTOR": _SENDASSOCIATIONREQUESTMESSAGE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.SendAssociationRequestMessage)
},
)
_sym_db.RegisterMessage(SendAssociationRequestMessage)
SendAssociationRequestResponse = _reflection.GeneratedProtocolMessageType(
"SendAssociationRequestResponse",
(_message.Message,),
{
"DESCRIPTOR": _SENDASSOCIATIONREQUESTRESPONSE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.SendAssociationRequestResponse)
},
)
_sym_db.RegisterMessage(SendAssociationRequestResponse)
ReceiveAssociationRequestMessage = _reflection.GeneratedProtocolMessageType(
"ReceiveAssociationRequestMessage",
(_message.Message,),
{
"DESCRIPTOR": _RECEIVEASSOCIATIONREQUESTMESSAGE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.ReceiveAssociationRequestMessage)
},
)
_sym_db.RegisterMessage(ReceiveAssociationRequestMessage)
ReceiveAssociationRequestResponse = _reflection.GeneratedProtocolMessageType(
"ReceiveAssociationRequestResponse",
(_message.Message,),
{
"DESCRIPTOR": _RECEIVEASSOCIATIONREQUESTRESPONSE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.ReceiveAssociationRequestResponse)
},
)
_sym_db.RegisterMessage(ReceiveAssociationRequestResponse)
RespondAssociationRequestMessage = _reflection.GeneratedProtocolMessageType(
"RespondAssociationRequestMessage",
(_message.Message,),
{
"DESCRIPTOR": _RESPONDASSOCIATIONREQUESTMESSAGE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.RespondAssociationRequestMessage)
},
)
_sym_db.RegisterMessage(RespondAssociationRequestMessage)
RespondAssociationRequestResponse = _reflection.GeneratedProtocolMessageType(
"RespondAssociationRequestResponse",
(_message.Message,),
{
"DESCRIPTOR": _RESPONDASSOCIATIONREQUESTRESPONSE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.RespondAssociationRequestResponse)
},
)
_sym_db.RegisterMessage(RespondAssociationRequestResponse)
GetAssociationRequestMessage = _reflection.GeneratedProtocolMessageType(
"GetAssociationRequestMessage",
(_message.Message,),
{
"DESCRIPTOR": _GETASSOCIATIONREQUESTMESSAGE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.GetAssociationRequestMessage)
},
)
_sym_db.RegisterMessage(GetAssociationRequestMessage)
GetAssociationRequestResponse = _reflection.GeneratedProtocolMessageType(
"GetAssociationRequestResponse",
(_message.Message,),
{
"DESCRIPTOR": _GETASSOCIATIONREQUESTRESPONSE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.GetAssociationRequestResponse)
},
)
_sym_db.RegisterMessage(GetAssociationRequestResponse)
GetAssociationRequestsMessage = _reflection.GeneratedProtocolMessageType(
"GetAssociationRequestsMessage",
(_message.Message,),
{
"DESCRIPTOR": _GETASSOCIATIONREQUESTSMESSAGE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.GetAssociationRequestsMessage)
},
)
_sym_db.RegisterMessage(GetAssociationRequestsMessage)
GetAssociationRequestsResponse = _reflection.GeneratedProtocolMessageType(
"GetAssociationRequestsResponse",
(_message.Message,),
{
"DESCRIPTOR": _GETASSOCIATIONREQUESTSRESPONSE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.GetAssociationRequestsResponse)
},
)
_sym_db.RegisterMessage(GetAssociationRequestsResponse)
DeleteAssociationRequestMessage = _reflection.GeneratedProtocolMessageType(
"DeleteAssociationRequestMessage",
(_message.Message,),
{
"DESCRIPTOR": _DELETEASSOCIATIONREQUESTMESSAGE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.DeleteAssociationRequestMessage)
},
)
_sym_db.RegisterMessage(DeleteAssociationRequestMessage)
DeleteAssociationRequestResponse = _reflection.GeneratedProtocolMessageType(
"DeleteAssociationRequestResponse",
(_message.Message,),
{
"DESCRIPTOR": _DELETEASSOCIATIONREQUESTRESPONSE,
"__module__": "proto.grid.messages.association_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.DeleteAssociationRequestResponse)
},
)
_sym_db.RegisterMessage(DeleteAssociationRequestResponse)
# @@protoc_insertion_point(module_scope)
| 34.959946
| 3,520
| 0.639389
| 5,058
| 51,496
| 6.154607
| 0.037169
| 0.04009
| 0.059203
| 0.052907
| 0.788564
| 0.777771
| 0.70514
| 0.703855
| 0.703855
| 0.698779
| 0
| 0.034049
| 0.269419
| 51,496
| 1,472
| 3,521
| 34.983696
| 0.793392
| 0.025808
| 0
| 0.825284
| 1
| 0.004972
| 0.172148
| 0.151646
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.004261
| 0
| 0.004261
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
105e58886db68e7bfa60565e7df491940d16c34a
| 1,742
|
py
|
Python
|
ilabs/matchback/test/test_matchback.py
|
innodatalabs/ilabs.matchback
|
dde5821ebf7f456a3f469fcf298d39d71ffe765b
|
[
"MIT"
] | null | null | null |
ilabs/matchback/test/test_matchback.py
|
innodatalabs/ilabs.matchback
|
dde5821ebf7f456a3f469fcf298d39d71ffe765b
|
[
"MIT"
] | null | null | null |
ilabs/matchback/test/test_matchback.py
|
innodatalabs/ilabs.matchback
|
dde5821ebf7f456a3f469fcf298d39d71ffe765b
|
[
"MIT"
] | null | null | null |
import lxml.etree as et
from ilabs.matchback.main import matchback
def test_matchback():
html = et.fromstring(b'''<body>
<p id="para1">Hello, world!</p>
</body>
''')
innodom = et.fromstring(b'''<dom xmlns="http://innodatalabs.com/innodom">
<content>
<p id="id1">Hello, world!</p>
</content>
<meta>
<datapoint key="name" idref="id1">Mike</datapoint>
</meta>
</dom>\
''')
meta = matchback(html, innodom)
assert len(meta) == 1
assert meta[0]['idref'] == 'para1'
assert meta[0]['xpath'] == '/body/p'
def test_matchback01():
html = et.fromstring(b'''<body>
<p id="para1"><b>Hello,</b> world!</p>
</body>
''')
innodom = et.fromstring(b'''<dom xmlns="http://innodatalabs.com/innodom">
<content>
<p id="id1">Hello, world!</p>
</content>
<meta>
<datapoint key="name" idref="id1">Mike</datapoint>
</meta>
</dom>\
''')
meta = matchback(html, innodom)
assert len(meta) == 1
assert et.tostring(html) == b'''<body>
<p id="para1"><b>Hello,</b> world!</p>
</body>\
'''
assert meta[0]['idref'] == 'para1'
assert meta[0]['xpath'] == '/body/p'
def test_matchback02():
html = et.fromstring(b'''<body><div><div id="div1">
<p><b>Hello,</b></p> <p><i>world</i>!</p>
</div></div></body>
''')
innodom = et.fromstring(b'''<dom xmlns="http://innodatalabs.com/innodom">
<content>
<p id="id1">Hello, world !</p>
</content>
<meta>
<datapoint key="name" idref="id1">Mike</datapoint>
</meta>
</dom>\
''')
meta = matchback(html, innodom)
assert len(meta) == 1
assert et.tostring(html) == b'''<body><div><div id="div1">
<p><b>Hello,</b></p> <p><i>world</i>!</p>
</div></div></body>\
'''
assert meta[0]['idref'] == 'div1'
assert meta[0]['xpath'] == '/body/div/div'
| 22.623377
| 77
| 0.585534
| 248
| 1,742
| 4.100806
| 0.181452
| 0.070796
| 0.076696
| 0.050147
| 0.892822
| 0.841691
| 0.841691
| 0.841691
| 0.797443
| 0.797443
| 0
| 0.01828
| 0.152124
| 1,742
| 76
| 78
| 22.921053
| 0.670278
| 0
| 0
| 0.78125
| 0
| 0.03125
| 0.53961
| 0.075775
| 0
| 0
| 0
| 0
| 0.171875
| 1
| 0.046875
| false
| 0
| 0.03125
| 0
| 0.078125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
5e0111e268b54040875fc1c19357c87fe557c766
| 155
|
py
|
Python
|
loldib/getratings/models/NA/na_evelynn/__init__.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_evelynn/__init__.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_evelynn/__init__.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
from .na_evelynn_top import *
from .na_evelynn_jng import *
from .na_evelynn_mid import *
from .na_evelynn_bot import *
from .na_evelynn_sup import *
| 25.833333
| 30
| 0.774194
| 25
| 155
| 4.4
| 0.36
| 0.272727
| 0.590909
| 0.690909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 155
| 5
| 31
| 31
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
eaa2ad87240fc4f69bde7b7954aa24bbd6e46862
| 13,187
|
py
|
Python
|
pkgs/ops-pkg/src/genie/libs/ops/arp/iosxr/tests/arp_output.py
|
miott/genielibs
|
6464642cdd67aa2367bdbb12561af4bb060e5e62
|
[
"Apache-2.0"
] | 94
|
2018-04-30T20:29:15.000Z
|
2022-03-29T13:40:31.000Z
|
pkgs/ops-pkg/src/genie/libs/ops/arp/iosxr/tests/arp_output.py
|
miott/genielibs
|
6464642cdd67aa2367bdbb12561af4bb060e5e62
|
[
"Apache-2.0"
] | 67
|
2018-12-06T21:08:09.000Z
|
2022-03-29T18:00:46.000Z
|
pkgs/ops-pkg/src/genie/libs/ops/arp/iosxr/tests/arp_output.py
|
miott/genielibs
|
6464642cdd67aa2367bdbb12561af4bb060e5e62
|
[
"Apache-2.0"
] | 49
|
2018-06-29T18:59:03.000Z
|
2022-03-10T02:07:59.000Z
|
'''
Arp Genie Ops Object Outputs for IOSXR.
'''
class ArpOutput(object):
ShowArpDetail = {
'interfaces': {
'GigabitEthernet0/0/0/0': {
'ipv4': {
'neighbors': {
'10.1.2.1': {
'age': '02:55:43',
'ip': '10.1.2.1',
'link_layer_address': 'fa16.3e4c.b963',
'origin': 'dynamic',
'type': 'ARPA'},
'10.1.2.2': {
'age': '-',
'ip': '10.1.2.2',
'link_layer_address': 'fa16.3ee4.1462',
'origin': 'static',
'type': 'ARPA'}
}
}
},
'GigabitEthernet0/0/0/1': {
'ipv4': {
'neighbors': {
'10.2.3.2': {
'age': '-',
'ip': '10.2.3.2',
'link_layer_address': 'fa16.3e8f.3468',
'origin': 'static',
'type': 'ARPA'},
'10.2.3.3': {
'age': '00:13:12',
'ip': '10.2.3.3',
'link_layer_address': '5e00.8002.0007',
'origin': 'dynamic',
'type': 'ARPA'}
}
}
}
}
}
ShowArpTrafficDetail = {
'0/0/CPU0': {
'cache': {
'alias': 0,
'dhcp': 0,
'dynamic': 2,
'interface': 2,
'ip_packet_drop_count': 0,
'standby': 0,
'static': 0,
'total_arp_entries': 4,
'total_arp_idb': 2},
'statistics': {
'in_replies_pkts': 8,
'in_requests_pkts': 108,
'no_buffers_errors': 0,
'out_gratuitous_pkts': 2,
'out_local_proxy': 0,
'out_of_memory_errors': 0,
'out_of_subnet_errors': 0,
'out_proxy': 0,
'out_replies_pkts': 108,
'out_requests_pkts': 8,
'resolve_dropped_requests': 0,
'resolve_rcvd_requests': 0,
'subscriber_intf_gratuitous': 0,
'subscriber_intf_replies': 0,
'subscriber_intf_requests': 0}
},
'0/RP0/CPU0': {
'cache': {
'alias': 0,
'dhcp': 0,
'dynamic': 0,
'interface': 0,
'ip_packet_drop_count': 0,
'standby': 0,
'static': 0,
'total_arp_entries': 0,
'total_arp_idb': 0},
'statistics': {
'in_replies_pkts': 0,
'in_requests_pkts': 0,
'no_buffers_errors': 0,
'out_gratuitous_pkts': 0,
'out_local_proxy': 0,
'out_of_memory_errors': 0,
'out_of_subnet_errors': 0,
'out_proxy': 0,
'out_replies_pkts': 0,
'out_requests_pkts': 0,
'resolve_dropped_requests': 0,
'resolve_rcvd_requests': 0,
'subscriber_intf_gratuitous': 0,
'subscriber_intf_replies': 0,
'subscriber_intf_requests': 0}
}
}
ShowIpv4VrfAllInterface = {
'GigabitEthernet0/0/0/0': {
'int_status': 'up',
'ipv4': {
'10.1.3.1/24': {
'ip': '10.1.3.1',
'prefix_length': '24'},
'broadcast_forwarding': 'disabled',
'icmp_redirects': 'never sent',
'icmp_replies': 'never sent',
'icmp_unreachables': 'always sent',
'mtu': 1514,
'mtu_available': 1500,
'proxy_arp': 'disabled',
'table_id': '0xe0000000'},
'multicast_groups': ['224.0.0.2',
'224.0.0.1',
'224.0.0.2',
'224.0.0.5',
'224.0.0.6'],
'oper_status': 'up',
'vrf': 'default',
'vrf_id': '0x60000000'},
'GigabitEthernet0/0/0/1': {
'int_status': 'up',
'ipv4': {
'10.1.5.1/24': {
'ip': '10.1.5.1',
'prefix_length': '24',
'route_tag': 50},
'10.2.2.2/24': {
'ip': '10.2.2.2',
'prefix_length': '24',
'secondary': True},
'broadcast_forwarding': 'disabled',
'icmp_redirects': 'never sent',
'icmp_replies': 'never sent',
'icmp_unreachables': 'always sent',
'mtu': 1514,
'mtu_available': 1500,
'proxy_arp': 'disabled',
'table_id': '0xe0000010'},
'multicast_groups': ['224.0.0.2', '224.0.0.1'],
'oper_status': 'up',
'vrf': 'VRF1',
'vrf_id': '0x60000001'},
'GigabitEthernet0/0/0/2': {
'int_status': 'up',
'ipv4': {
'10.186.5.1/24': {
'ip': '10.186.5.1',
'prefix_length': '24'},
'broadcast_forwarding': 'disabled',
'icmp_redirects': 'never sent',
'icmp_replies': 'never sent',
'icmp_unreachables': 'always sent',
'mtu': 1514,
'mtu_available': 1500,
'proxy_arp': 'disabled',
'table_id': '0xe0000011'},
'multicast_groups': ['224.0.0.2', '224.0.0.1'],
'oper_status': 'up',
'vrf': 'VRF2',
'vrf_id': '0x60000002'},
'GigabitEthernet0/0/0/3': {
'int_status': 'up',
'ipv4': {
'10.1.2.1/24': {
'ip': '10.1.2.1',
'prefix_length': '24'},
'broadcast_forwarding': 'disabled',
'icmp_redirects': 'never sent',
'icmp_replies': 'never sent',
'icmp_unreachables': 'always sent',
'mtu': 1514,
'mtu_available': 1500,
'proxy_arp': 'disabled',
'table_id': '0xe0000000'},
'multicast_groups': ['224.0.0.2',
'224.0.0.1',
'224.0.0.2',
'224.0.0.5',
'224.0.0.6'],
'oper_status': 'up',
'vrf': 'default',
'vrf_id': '0x60000000'},
'GigabitEthernet0/0/0/4': {
'int_status': 'up',
'ipv4': {
'10.69.111.111/32': {
'ip': '10.69.111.111',
'prefix_length': '32'},
'broadcast_forwarding': 'disabled',
'icmp_redirects': 'never sent',
'icmp_replies': 'never sent',
'icmp_unreachables': 'always sent',
'mtu': 1514,
'mtu_available': 1500,
'proxy_arp': 'disabled',
'table_id': '0xe0000000',
'unnumbered': {'unnumbered_intf_ref': 'Loopback11'}},
'multicast_groups': ['224.0.0.2', '224.0.0.1'],
'oper_status': 'up',
'vrf': 'default',
'vrf_id': '0x60000000'},
'GigabitEthernet0/0/0/5': {
'int_status': 'shutdown',
'oper_status': 'down',
'vrf': 'default',
'vrf_id': '0x60000000'},
'GigabitEthernet0/0/0/6': {
'int_status': 'shutdown',
'oper_status': 'down',
'vrf': 'default',
'vrf_id': '0x60000000'},
'Loopback0': {
'int_status': 'up',
'ipv4': {
'10.4.1.1/32': {
'ip': '10.4.1.1',
'prefix_length': '32'},
'broadcast_forwarding': 'disabled',
'icmp_redirects': 'never sent',
'icmp_replies': 'never sent',
'icmp_unreachables': 'always sent',
'mtu': 1500,
'mtu_available': 1500,
'proxy_arp': 'disabled',
'table_id': '0xe0000000'},
'oper_status': 'up',
'vrf': 'default',
'vrf_id': '0x60000000'},
'Loopback11': {
'int_status': 'up',
'ipv4': {
'10.69.111.111/32': {
'ip': '10.69.111.111',
'prefix_length': '32'},
'broadcast_forwarding': 'disabled',
'icmp_redirects': 'never sent',
'icmp_replies': 'never sent',
'icmp_unreachables': 'always sent',
'mtu': 1500,
'mtu_available': 1500,
'proxy_arp': 'disabled',
'table_id': '0xe0000000'},
'oper_status': 'up',
'vrf': 'default',
'vrf_id': '0x60000000'},
'MgmtEth0/0/CPU0/0': {
'int_status': 'shutdown',
'oper_status': 'down',
'vrf': 'default',
'vrf_id': '0x60000000'}
}
Arp_info = {
'interfaces': {
'GigabitEthernet0/0/0/0': {
'arp_dynamic_learning': {
'proxy_enable': False},
'ipv4': {
'neighbors': {
'10.1.2.1': {
'ip': '10.1.2.1',
'link_layer_address': 'fa16.3e4c.b963',
'origin': 'dynamic'},
'10.1.2.2': {
'ip': '10.1.2.2',
'link_layer_address': 'fa16.3ee4.1462',
'origin': 'static'}
}
}
},
'GigabitEthernet0/0/0/1': {
'arp_dynamic_learning': {
'proxy_enable': False},
'ipv4': {
'neighbors': {
'10.2.3.2': {
'ip': '10.2.3.2',
'link_layer_address': 'fa16.3e8f.3468',
'origin': 'static'},
'10.2.3.3': {
'ip': '10.2.3.3',
'link_layer_address': '5e00.8002.0007',
'origin': 'dynamic'}
}
}
},
'GigabitEthernet0/0/0/2': {
'arp_dynamic_learning': {
'proxy_enable': False}
},
'GigabitEthernet0/0/0/3': {
'arp_dynamic_learning': {
'proxy_enable': False}
},
'GigabitEthernet0/0/0/4': {
'arp_dynamic_learning': {
'proxy_enable': False}
},
'Loopback0': {
'arp_dynamic_learning': {
'proxy_enable': False}
},
'Loopback11': {
'arp_dynamic_learning': {
'proxy_enable': False}
}
},
'statistics': {
'in_replies_pkts': 8,
'in_requests_pkts': 108,
'out_gratuitous_pkts': 2,
'out_replies_pkts': 108,
'out_requests_pkts': 8}
}
| 40.575385
| 74
| 0.330022
| 975
| 13,187
| 4.238974
| 0.14359
| 0.016937
| 0.019356
| 0.029035
| 0.844907
| 0.80571
| 0.757803
| 0.728768
| 0.711832
| 0.643116
| 0
| 0.122312
| 0.538106
| 13,187
| 325
| 75
| 40.575385
| 0.556231
| 0.002957
| 0
| 0.753165
| 0
| 0
| 0.328919
| 0.0414
| 0
| 0
| 0.012938
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0.015823
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
eaa548ca9b67d3e319a740d778c1b33e3d7e864d
| 75
|
py
|
Python
|
project_RL/__init__.py
|
Ronnypetson/gym-minigrid
|
1f0a607160960f00b664130c756a4f3bab356752
|
[
"Apache-2.0"
] | null | null | null |
project_RL/__init__.py
|
Ronnypetson/gym-minigrid
|
1f0a607160960f00b664130c756a4f3bab356752
|
[
"Apache-2.0"
] | 2
|
2021-10-15T01:57:47.000Z
|
2021-10-29T20:24:56.000Z
|
project_RL/__init__.py
|
Ronnypetson/gym-minigrid
|
1f0a607160960f00b664130c756a4f3bab356752
|
[
"Apache-2.0"
] | null | null | null |
from project_RL.linear_sarsa import *
from project_RL.monte_carlo import *
| 25
| 37
| 0.84
| 12
| 75
| 4.916667
| 0.666667
| 0.372881
| 0.440678
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106667
| 75
| 2
| 38
| 37.5
| 0.880597
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
eae5a1fa655f00a1281648823538c4b8a5555459
| 35,171
|
py
|
Python
|
gnocchi/tests/test_carbonara.py
|
idegtiarov/gnocchi-rep
|
2039a6ee49ecaa07c3a4c7e768b65ec0413508df
|
[
"Apache-2.0"
] | null | null | null |
gnocchi/tests/test_carbonara.py
|
idegtiarov/gnocchi-rep
|
2039a6ee49ecaa07c3a4c7e768b65ec0413508df
|
[
"Apache-2.0"
] | null | null | null |
gnocchi/tests/test_carbonara.py
|
idegtiarov/gnocchi-rep
|
2039a6ee49ecaa07c3a4c7e768b65ec0413508df
|
[
"Apache-2.0"
] | null | null | null |
# -*- encoding: utf-8 -*-
#
# Copyright © 2014-2015 eNovance
#
# Authors: Julien Danjou <julien@danjou.info>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import datetime
import os
import subprocess
import tempfile
import fixtures
from oslotest import base
# TODO(jd) We shouldn't use pandas here
import pandas
import six
from gnocchi import carbonara
class TestBoundTimeSerie(base.BaseTestCase):
@staticmethod
def test_base():
carbonara.BoundTimeSerie([datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 0, 4),
datetime.datetime(2014, 1, 1, 12, 0, 9)],
[3, 5, 6])
def test_block_size(self):
ts = carbonara.BoundTimeSerie(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 0, 4),
datetime.datetime(2014, 1, 1, 12, 0, 9)],
[3, 5, 6],
block_size='5s')
self.assertEqual(1, len(ts))
ts.set_values([(datetime.datetime(2014, 1, 1, 12, 0, 10), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 11), 4)])
self.assertEqual(2, len(ts))
def test_block_size_back_window(self):
ts = carbonara.BoundTimeSerie(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 0, 4),
datetime.datetime(2014, 1, 1, 12, 0, 9)],
[3, 5, 6],
block_size='5s',
back_window=1)
self.assertEqual(3, len(ts))
ts.set_values([(datetime.datetime(2014, 1, 1, 12, 0, 10), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 11), 4)])
self.assertEqual(3, len(ts))
def test_block_size_unordered(self):
ts = carbonara.BoundTimeSerie(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 0, 9),
datetime.datetime(2014, 1, 1, 12, 0, 5)],
[10, 5, 23],
block_size='5s')
self.assertEqual(2, len(ts))
ts.set_values([(datetime.datetime(2014, 1, 1, 12, 0, 11), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 10), 4)])
self.assertEqual(2, len(ts))
class TestAggregatedTimeSerie(base.BaseTestCase):
@staticmethod
def test_base():
carbonara.AggregatedTimeSerie(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 0, 4),
datetime.datetime(2014, 1, 1, 12, 0, 9)],
[3, 5, 6])
def test_0_percentile(self):
ts = carbonara.AggregatedTimeSerie(sampling='1Min',
aggregation_method='0pct')
self.assertRaises(AttributeError,
ts.set_values,
[(datetime.datetime(2014, 1, 1, 12, 0, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 4), 5),
(datetime.datetime(2014, 1, 1, 12, 0, 9), 6)])
def test_100_percentile(self):
ts = carbonara.AggregatedTimeSerie(sampling='1Min',
aggregation_method='100pct')
self.assertRaises(AttributeError,
ts.set_values,
[(datetime.datetime(2014, 1, 1, 12, 0, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 4), 5),
(datetime.datetime(2014, 1, 1, 12, 0, 9), 6)])
def test_123_percentile(self):
ts = carbonara.AggregatedTimeSerie(sampling='1Min',
aggregation_method='123pct')
self.assertRaises(AttributeError,
ts.set_values,
[(datetime.datetime(2014, 1, 1, 12, 0, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 4), 5),
(datetime.datetime(2014, 1, 1, 12, 0, 9), 6)])
def test_74_percentile(self):
ts = carbonara.AggregatedTimeSerie(sampling='1Min',
aggregation_method='74pct')
ts.set_values(
[(datetime.datetime(2014, 1, 1, 12, 0, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 4), 5),
(datetime.datetime(2014, 1, 1, 12, 0, 9), 6)])
self.assertEqual(1, len(ts))
self.assertEqual(5.48, ts[datetime.datetime(2014, 1, 1, 12, 0, 0)])
def test_95_percentile(self):
ts = carbonara.AggregatedTimeSerie(sampling='1Min',
aggregation_method='95pct')
ts.set_values(
[(datetime.datetime(2014, 1, 1, 12, 0, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 4), 5),
(datetime.datetime(2014, 1, 1, 12, 0, 9), 6)])
self.assertEqual(1, len(ts))
self.assertEqual(5.9000000000000004,
ts[datetime.datetime(2014, 1, 1, 12, 0, 0)])
def test_different_length_in_timestamps_and_data(self):
self.assertRaises(ValueError,
carbonara.AggregatedTimeSerie,
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 0, 4),
datetime.datetime(2014, 1, 1, 12, 0, 9)],
[3, 5])
def test_max_size(self):
ts = carbonara.AggregatedTimeSerie(
max_size=2)
ts.set_values(list(zip(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 0, 4),
datetime.datetime(2014, 1, 1, 12, 0, 9)],
[3, 5, 6])))
self.assertEqual(2, len(ts))
self.assertEqual(5, ts[0])
self.assertEqual(6, ts[1])
def test_down_sampling(self):
ts = carbonara.AggregatedTimeSerie(sampling='5Min')
ts.set_values(list(zip(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 0, 4),
datetime.datetime(2014, 1, 1, 12, 0, 9)],
[3, 5, 7])))
self.assertEqual(1, len(ts))
self.assertEqual(5, ts[datetime.datetime(2014, 1, 1, 12, 0, 0)])
def test_down_sampling_with_max_size(self):
ts = carbonara.AggregatedTimeSerie(
sampling='1Min',
max_size=2)
ts.set_values(list(zip(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 1, 4),
datetime.datetime(2014, 1, 1, 12, 1, 9),
datetime.datetime(2014, 1, 1, 12, 2, 12)],
[3, 5, 7, 1])))
self.assertEqual(2, len(ts))
self.assertEqual(6, ts[datetime.datetime(2014, 1, 1, 12, 1, 0)])
self.assertEqual(1, ts[datetime.datetime(2014, 1, 1, 12, 2, 0)])
def test_down_sampling_with_max_size_and_method_max(self):
ts = carbonara.AggregatedTimeSerie(
sampling='1Min',
max_size=2,
aggregation_method='max')
ts.set_values(list(zip(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 1, 4),
datetime.datetime(2014, 1, 1, 12, 1, 9),
datetime.datetime(2014, 1, 1, 12, 2, 12)],
[3, 5, 70, 1])))
self.assertEqual(2, len(ts))
self.assertEqual(70, ts[datetime.datetime(2014, 1, 1, 12, 1, 0)])
self.assertEqual(1, ts[datetime.datetime(2014, 1, 1, 12, 2, 0)])
def test_to_dict_from_dict(self):
ts = carbonara.AggregatedTimeSerie(
sampling='1Min',
max_size=2,
aggregation_method='max')
ts.set_values(list(zip(
[datetime.datetime(2014, 1, 1, 12, 0, 0),
datetime.datetime(2014, 1, 1, 12, 1, 4),
datetime.datetime(2014, 1, 1, 12, 1, 9),
datetime.datetime(2014, 1, 1, 12, 2, 12)],
[3, 5, 7, 1])))
ts2 = carbonara.AggregatedTimeSerie.from_dict(ts.to_dict())
self.assertEqual(ts, ts2)
class TestTimeSerieArchive(base.BaseTestCase):
def test_fetch(self):
tsc = carbonara.TimeSerieArchive.from_definitions(
[(60, 10),
(300, 6)])
tsc.set_values([
(datetime.datetime(2014, 1, 1, 11, 46, 4), 4),
(datetime.datetime(2014, 1, 1, 11, 47, 34), 8),
(datetime.datetime(2014, 1, 1, 11, 50, 54), 50),
(datetime.datetime(2014, 1, 1, 11, 54, 45), 4),
(datetime.datetime(2014, 1, 1, 11, 56, 49), 4),
(datetime.datetime(2014, 1, 1, 11, 57, 22), 6),
(datetime.datetime(2014, 1, 1, 11, 58, 22), 5),
(datetime.datetime(2014, 1, 1, 12, 1, 4), 4),
(datetime.datetime(2014, 1, 1, 12, 1, 9), 7),
(datetime.datetime(2014, 1, 1, 12, 2, 1), 15),
(datetime.datetime(2014, 1, 1, 12, 2, 12), 1),
(datetime.datetime(2014, 1, 1, 12, 3, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 4, 9), 7),
(datetime.datetime(2014, 1, 1, 12, 5, 1), 15),
(datetime.datetime(2014, 1, 1, 12, 5, 12), 1),
(datetime.datetime(2014, 1, 1, 12, 6, 0), 3),
])
tsc.set_values([
(datetime.datetime(2014, 1, 1, 12, 5, 13), 5),
])
self.assertEqual([
(datetime.datetime(2014, 1, 1, 11, 45), 300.0, 6.0),
(datetime.datetime(2014, 1, 1, 11, 50), 300.0, 27.0),
(datetime.datetime(2014, 1, 1, 11, 55), 300.0, 5.0),
(datetime.datetime(2014, 1, 1, 12, 00), 300.0, 6.166666666666667),
(datetime.datetime(2014, 1, 1, 12, 5), 300.0, 6.0),
(datetime.datetime(2014, 1, 1, 11, 54), 60.0, 4.0),
(datetime.datetime(2014, 1, 1, 11, 56), 60.0, 4.0),
(datetime.datetime(2014, 1, 1, 11, 57), 60.0, 6.0),
(datetime.datetime(2014, 1, 1, 11, 58), 60.0, 5.0),
(datetime.datetime(2014, 1, 1, 12, 1), 60.0, 5.5),
(datetime.datetime(2014, 1, 1, 12, 2), 60.0, 8.0),
(datetime.datetime(2014, 1, 1, 12, 3), 60.0, 3.0),
(datetime.datetime(2014, 1, 1, 12, 4), 60.0, 7.0),
(datetime.datetime(2014, 1, 1, 12, 5), 60.0, 7.0),
(datetime.datetime(2014, 1, 1, 12, 6), 60.0, 3.0)
], tsc.fetch())
self.assertEqual([
(datetime.datetime(2014, 1, 1, 12), 300.0, 6.166666666666667),
(datetime.datetime(2014, 1, 1, 12, 5), 300.0, 6.0),
(datetime.datetime(2014, 1, 1, 12, 1), 60.0, 5.5),
(datetime.datetime(2014, 1, 1, 12, 2), 60.0, 8.0),
(datetime.datetime(2014, 1, 1, 12, 3), 60.0, 3.0),
(datetime.datetime(2014, 1, 1, 12, 4), 60.0, 7.0),
(datetime.datetime(2014, 1, 1, 12, 5), 60.0, 7.0),
(datetime.datetime(2014, 1, 1, 12, 6), 60.0, 3.0)
], tsc.fetch(datetime.datetime(2014, 1, 1, 12, 0, 0)))
def test_fetch_agg_pct(self):
tsc = carbonara.TimeSerieArchive.from_definitions(
[(1, 3600 * 24),
(60, 24 * 60 * 30)],
aggregation_method='90pct')
# NOTE(jd) What's interesting in this test is that we lack a point for
# a second, so we have an interval with no value
tsc.set_values([(datetime.datetime(2014, 1, 1, 12, 0, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 0, 123), 4),
(datetime.datetime(2014, 1, 1, 12, 0, 2), 4)])
result = tsc.fetch(datetime.datetime(2014, 1, 1, 12, 0, 0))
reference = [
(pandas.Timestamp('2014-01-01 12:00:00'),
60.0, 4),
(pandas.Timestamp('2014-01-01 12:00:00'),
1.0, 3.9),
(pandas.Timestamp('2014-01-01 12:00:02'),
1.0, 4)
]
self.assertEqual(len(reference), len(result))
for ref, res in zip(reference, result):
self.assertEqual(ref[0], res[0])
self.assertEqual(ref[1], res[1])
# Rounding \o/
self.assertAlmostEqual(ref[2], res[2])
tsc.set_values([(datetime.datetime(2014, 1, 1, 12, 0, 2, 113), 110)])
result = tsc.fetch(datetime.datetime(2014, 1, 1, 12, 0, 0))
reference = [
(pandas.Timestamp('2014-01-01 12:00:00'),
60.0, 78.2),
(pandas.Timestamp('2014-01-01 12:00:00'),
1.0, 3.9),
(pandas.Timestamp('2014-01-01 12:00:02'),
1.0, 99.4)
]
self.assertEqual(len(reference), len(result))
for ref, res in zip(reference, result):
self.assertEqual(ref[0], res[0])
self.assertEqual(ref[1], res[1])
# Rounding \o/
self.assertAlmostEqual(ref[2], res[2])
def test_fetch_nano(self):
tsc = carbonara.TimeSerieArchive.from_definitions(
[(0.2, 10),
(0.5, 6)])
tsc.set_values([
(datetime.datetime(2014, 1, 1, 11, 46, 0, 200123), 4),
(datetime.datetime(2014, 1, 1, 11, 46, 0, 340000), 8),
(datetime.datetime(2014, 1, 1, 11, 47, 0, 323154), 50),
(datetime.datetime(2014, 1, 1, 11, 48, 0, 590903), 4),
(datetime.datetime(2014, 1, 1, 11, 48, 0, 903291), 4),
])
tsc.set_values([
(datetime.datetime(2014, 1, 1, 11, 48, 0, 821312), 5),
])
self.assertEqual([
(datetime.datetime(2014, 1, 1, 11, 46), 0.5, 6.0),
(datetime.datetime(2014, 1, 1, 11, 47), 0.5, 50.0),
(datetime.datetime(2014, 1, 1, 11, 48, 0, 500000), 0.5,
4.333333333333333),
(datetime.datetime(2014, 1, 1, 11, 46, 0, 200000), 0.2, 6.0),
(datetime.datetime(2014, 1, 1, 11, 47, 0, 200000), 0.2, 50.0),
(datetime.datetime(2014, 1, 1, 11, 48, 0, 400000), 0.2, 4.0),
(datetime.datetime(2014, 1, 1, 11, 48, 0, 800000), 0.2, 4.5)
], tsc.fetch())
def test_fetch_agg_std(self):
tsc = carbonara.TimeSerieArchive.from_definitions(
[(60, 60),
(300, 24)],
aggregation_method='std')
tsc.set_values([(datetime.datetime(2014, 1, 1, 12, 0, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 1, 4), 4),
(datetime.datetime(2014, 1, 1, 12, 1, 9), 7),
(datetime.datetime(2014, 1, 1, 12, 2, 1), 15),
(datetime.datetime(2014, 1, 1, 12, 2, 12), 1)])
self.assertEqual([
(pandas.Timestamp('2014-01-01 12:00:00'),
300.0, 5.4772255750516612),
(pandas.Timestamp('2014-01-01 12:01:00'),
60.0, 2.1213203435596424),
(pandas.Timestamp('2014-01-01 12:02:00'),
60.0, 9.8994949366116654),
], tsc.fetch(datetime.datetime(2014, 1, 1, 12, 0, 0)))
tsc.set_values([(datetime.datetime(2014, 1, 1, 12, 2, 13), 110)])
self.assertEqual([
(pandas.Timestamp('2014-01-01 12:00:00'),
300.0, 42.739521132865619),
(pandas.Timestamp('2014-01-01 12:01:00'),
60.0, 2.1213203435596424),
(pandas.Timestamp('2014-01-01 12:02:00'),
60.0, 59.304300012730948),
], tsc.fetch(datetime.datetime(2014, 1, 1, 12, 0, 0)))
def test_fetch_agg_max(self):
tsc = carbonara.TimeSerieArchive.from_definitions(
[(60, 60),
(300, 24)],
aggregation_method='max')
tsc.set_values([(datetime.datetime(2014, 1, 1, 12, 0, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 1, 4), 4),
(datetime.datetime(2014, 1, 1, 12, 1, 9), 7),
(datetime.datetime(2014, 1, 1, 12, 2, 1), 15),
(datetime.datetime(2014, 1, 1, 12, 2, 12), 1)])
self.assertEqual([
(pandas.Timestamp('2014-01-01 12:00:00'), 300.0, 15),
(pandas.Timestamp('2014-01-01 12:00:00'), 60.0, 3),
(pandas.Timestamp('2014-01-01 12:01:00'), 60.0, 7),
(pandas.Timestamp('2014-01-01 12:02:00'), 60.0, 15),
], tsc.fetch(datetime.datetime(2014, 1, 1, 12, 0, 0)))
tsc.set_values([(datetime.datetime(2014, 1, 1, 12, 2, 13), 110)])
self.assertEqual([
(pandas.Timestamp('2014-01-01 12:00:00'), 300.0, 110),
(pandas.Timestamp('2014-01-01 12:00:00'), 60.0, 3),
(pandas.Timestamp('2014-01-01 12:01:00'), 60.0, 7),
(pandas.Timestamp('2014-01-01 12:02:00'), 60.0, 110),
], tsc.fetch(datetime.datetime(2014, 1, 1, 12, 0, 0)))
def test_serialize(self):
tsc = carbonara.TimeSerieArchive.from_definitions(
[(0.5, None),
(2, None)])
tsc.set_values([
(datetime.datetime(2014, 1, 1, 12, 0, 0, 1234), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 0, 321), 6),
(datetime.datetime(2014, 1, 1, 12, 1, 4, 234), 5),
(datetime.datetime(2014, 1, 1, 12, 1, 9, 32), 7),
(datetime.datetime(2014, 1, 1, 12, 2, 12, 532), 1),
])
self.assertEqual(tsc,
carbonara.TimeSerieArchive.unserialize(
tsc.serialize()))
def test_from_dict_resampling_stddev(self):
d = {'timeserie': {'values': {u'2013-01-01 23:45:01.182000': 1.0,
u'2013-01-01 23:45:02.975000': 2.0,
u'2013-01-01 23:45:03.689000': 3.0,
u'2013-01-01 23:45:04.292000': 4.0,
u'2013-01-01 23:45:05.416000': 5.0,
u'2013-01-01 23:45:06.995000': 6.0,
u'2013-01-01 23:45:07.065000': 7.0,
u'2013-01-01 23:45:08.634000': 8.0,
u'2013-01-01 23:45:09.572000': 9.0,
u'2013-01-01 23:45:10.672000': 10.0},
'timespan': u'120S'},
'archives': [{'aggregation_method': u'std',
'values': {u'2013-01-01 23:40:00':
3.0276503540974917,
u'2013-01-01 23:45:00':
3.0276503540974917},
'max_size': 3600,
'sampling': u'60S'}]}
timeseries = carbonara.TimeSerieArchive.from_dict(d)
measure = timeseries.fetch()
self.assertEqual(2, len(measure))
measure = timeseries.fetch('2013-01-01 23:45:00',
'2013-01-01 23:46:00')
self.assertEqual(pandas.Timestamp('2013-01-01 23:45:00'),
measure[0][0])
self.assertAlmostEquals(measure[0][2], 3.0276503540974917)
def test_no_truncation(self):
ts = carbonara.TimeSerieArchive.from_definitions(
[(60, None)])
for i in six.moves.range(1, 11):
ts.set_values([
(datetime.datetime(2014, 1, 1, 12, i, i), float(i))
])
ts.set_values([
(datetime.datetime(2014, 1, 1, 12, i, i + 1), float(i + 1))
])
self.assertEqual(i, len(ts.fetch()))
def test_truncation_with_serialization(self):
# start with an empty timeseries with a single (60, 3600) archive,
# as it would be stored
d = {'timeserie': {'values': {},
'timespan': u'120S'},
'archives': [{'aggregation_method': u'mean',
'values': {},
'max_size': 3600,
'sampling': u'60S'}]}
# inject single data points 61s apart, round-triping to and from the
# storage representation on each iteration
for i in six.moves.range(1, 11):
timeseries = carbonara.TimeSerieArchive.from_dict(d)
measures = timeseries.fetch()
self.assertEqual(i - 1, len(measures))
timeseries.set_values([
(datetime.datetime(2014, 1, 1, 12, i, i), float(i))
])
d = timeseries.to_dict()
# since we should keep up to 3600 archived datapoints,
# we expect all 10 of the *aggregated* (as opposed to raw)
# datapoints not to be discarded
self.assertEqual(i, len(d['archives'][0]['values']))
def test_back_window(self):
"""Back window testing.
Test the the back window on an archive is not longer than the window we
aggregate on.
"""
ts = carbonara.TimeSerieArchive.from_definitions(
[(1, 60)])
ts.set_values([
(datetime.datetime(2014, 1, 1, 12, 0, 1, 2300), 1),
(datetime.datetime(2014, 1, 1, 12, 0, 1, 4600), 2),
(datetime.datetime(2014, 1, 1, 12, 0, 2, 4500), 3),
(datetime.datetime(2014, 1, 1, 12, 0, 2, 7800), 4),
(datetime.datetime(2014, 1, 1, 12, 0, 3, 8), 2.5),
])
self.assertEqual(
[
(pandas.Timestamp('2014-01-01 12:00:01'), 1.0, 1.5),
(pandas.Timestamp('2014-01-01 12:00:02'), 1.0, 3.5),
(pandas.Timestamp('2014-01-01 12:00:03'), 1.0, 2.5),
],
ts.fetch())
try:
ts.set_values([
(datetime.datetime(2014, 1, 1, 12, 0, 2, 99), 9),
])
except carbonara.NoDeloreanAvailable as e:
self.assertEqual(
six.text_type(e),
u"2014-01-01 12:00:02.000099 is before 2014-01-01 12:00:03")
self.assertEqual(datetime.datetime(2014, 1, 1, 12, 0, 2, 99),
e.bad_timestamp)
self.assertEqual(datetime.datetime(2014, 1, 1, 12, 0, 3),
e.first_timestamp)
else:
self.fail("No exception raised")
def test_aggregated_nominal(self):
tsc1 = carbonara.TimeSerieArchive.from_definitions(
[(60, 10),
(300, 6)])
tsc2 = carbonara.TimeSerieArchive.from_definitions(
[(60, 10),
(300, 6)])
tsc1.set_values([
(datetime.datetime(2014, 1, 1, 11, 46, 4), 4),
(datetime.datetime(2014, 1, 1, 11, 47, 34), 8),
(datetime.datetime(2014, 1, 1, 11, 50, 54), 50),
(datetime.datetime(2014, 1, 1, 11, 54, 45), 4),
(datetime.datetime(2014, 1, 1, 11, 56, 49), 4),
(datetime.datetime(2014, 1, 1, 11, 57, 22), 6),
(datetime.datetime(2014, 1, 1, 11, 58, 22), 5),
(datetime.datetime(2014, 1, 1, 12, 1, 4), 4),
(datetime.datetime(2014, 1, 1, 12, 1, 9), 7),
(datetime.datetime(2014, 1, 1, 12, 2, 1), 15),
(datetime.datetime(2014, 1, 1, 12, 2, 12), 1),
(datetime.datetime(2014, 1, 1, 12, 3, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 4, 9), 7),
(datetime.datetime(2014, 1, 1, 12, 5, 1), 15),
(datetime.datetime(2014, 1, 1, 12, 5, 12), 1),
(datetime.datetime(2014, 1, 1, 12, 6, 0), 3),
])
tsc2.set_values([
(datetime.datetime(2014, 1, 1, 11, 46, 4), 6),
(datetime.datetime(2014, 1, 1, 11, 47, 34), 5),
(datetime.datetime(2014, 1, 1, 11, 50, 54), 51),
(datetime.datetime(2014, 1, 1, 11, 54, 45), 5),
(datetime.datetime(2014, 1, 1, 11, 56, 49), 5),
(datetime.datetime(2014, 1, 1, 11, 57, 22), 7),
(datetime.datetime(2014, 1, 1, 11, 58, 22), 5),
(datetime.datetime(2014, 1, 1, 12, 1, 4), 5),
(datetime.datetime(2014, 1, 1, 12, 1, 9), 8),
(datetime.datetime(2014, 1, 1, 12, 2, 1), 10),
(datetime.datetime(2014, 1, 1, 12, 2, 12), 2),
(datetime.datetime(2014, 1, 1, 12, 3, 0), 6),
(datetime.datetime(2014, 1, 1, 12, 4, 9), 4),
(datetime.datetime(2014, 1, 1, 12, 5, 1), 10),
(datetime.datetime(2014, 1, 1, 12, 5, 12), 1),
(datetime.datetime(2014, 1, 1, 12, 6, 0), 1),
])
output = carbonara.TimeSerieArchive.aggregated([tsc1, tsc2])
self.assertEqual([
(datetime.datetime(2014, 1, 1, 11, 45), 300.0, 5.75),
(datetime.datetime(2014, 1, 1, 11, 50), 300.0, 27.5),
(datetime.datetime(2014, 1, 1, 11, 55), 300.0, 5.3333333333333339),
(datetime.datetime(2014, 1, 1, 12, 0), 300.0, 6.0),
(datetime.datetime(2014, 1, 1, 12, 5), 300.0, 5.1666666666666661),
(datetime.datetime(2014, 1, 1, 11, 54), 60.0, 4.5),
(datetime.datetime(2014, 1, 1, 11, 56), 60.0, 4.5),
(datetime.datetime(2014, 1, 1, 11, 57), 60.0, 6.5),
(datetime.datetime(2014, 1, 1, 11, 58), 60.0, 5.0),
(datetime.datetime(2014, 1, 1, 12, 1), 60.0, 6.0),
(datetime.datetime(2014, 1, 1, 12, 2), 60.0, 7.0),
(datetime.datetime(2014, 1, 1, 12, 3), 60.0, 4.5),
(datetime.datetime(2014, 1, 1, 12, 4), 60.0, 5.5),
(datetime.datetime(2014, 1, 1, 12, 5), 60.0, 6.75),
(datetime.datetime(2014, 1, 1, 12, 6), 60.0, 2.0),
], output)
def test_aggregated_different_archive(self):
tsc1 = carbonara.TimeSerieArchive.from_definitions(
[(60, 50),
(120, 24)])
tsc2 = carbonara.TimeSerieArchive.from_definitions(
[(180, 50),
(300, 24)])
self.assertRaises(carbonara.UnAggregableTimeseries,
carbonara.TimeSerieArchive.aggregated,
[tsc1, tsc2])
def test_aggregated_different_archive_no_overlap(self):
tsc1 = carbonara.TimeSerieArchive.from_definitions(
[(60, 50),
(120, 24)])
tsc2 = carbonara.TimeSerieArchive.from_definitions(
[(60, 50)])
tsc1.set_values([(datetime.datetime(2014, 1, 1, 11, 46, 4), 4)])
tsc2.set_values([(datetime.datetime(2014, 1, 1, 9, 1, 4), 4)])
dtfrom = datetime.datetime(2014, 1, 1, 11, 0, 0)
self.assertRaises(carbonara.UnAggregableTimeseries,
carbonara.TimeSerieArchive.aggregated,
[tsc1, tsc2], from_timestamp=dtfrom)
def test_aggregated_different_archive_no_overlap2(self):
tsc1 = carbonara.TimeSerieArchive.from_definitions(
[(60, 50),
(120, 24)])
tsc2 = carbonara.TimeSerieArchive.from_definitions(
[(60, 50)])
tsc1.set_values([(datetime.datetime(2014, 1, 1, 12, 3, 0), 4)])
self.assertRaises(carbonara.UnAggregableTimeseries,
carbonara.TimeSerieArchive.aggregated,
[tsc1, tsc2])
def test_aggregated_different_archive_overlap(self):
tsc1 = carbonara.TimeSerieArchive.from_definitions(
[(60, 10),
(600, 6)])
tsc2 = carbonara.TimeSerieArchive.from_definitions(
[(60, 10)])
# NOTE(sileht): minute 8 is missing in both and
# minute 7 in tsc2 too, but it looks like we have
# enough point to do the aggregation
tsc1.set_values([
(datetime.datetime(2014, 1, 1, 11, 0, 0), 4),
(datetime.datetime(2014, 1, 1, 12, 1, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 2, 0), 2),
(datetime.datetime(2014, 1, 1, 12, 3, 0), 4),
(datetime.datetime(2014, 1, 1, 12, 4, 0), 2),
(datetime.datetime(2014, 1, 1, 12, 5, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 6, 0), 4),
(datetime.datetime(2014, 1, 1, 12, 7, 0), 10),
(datetime.datetime(2014, 1, 1, 12, 9, 0), 2),
])
tsc2.set_values([
(datetime.datetime(2014, 1, 1, 12, 1, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 2, 0), 4),
(datetime.datetime(2014, 1, 1, 12, 3, 0), 4),
(datetime.datetime(2014, 1, 1, 12, 4, 0), 6),
(datetime.datetime(2014, 1, 1, 12, 5, 0), 3),
(datetime.datetime(2014, 1, 1, 12, 6, 0), 6),
(datetime.datetime(2014, 1, 1, 12, 9, 0), 2),
(datetime.datetime(2014, 1, 1, 12, 11, 0), 2),
(datetime.datetime(2014, 1, 1, 12, 12, 0), 2),
])
dtfrom = datetime.datetime(2014, 1, 1, 12, 0, 0)
dtto = datetime.datetime(2014, 1, 1, 12, 10, 0)
# By default we require 100% of point that overlap
# so that fail
self.assertRaises(carbonara.UnAggregableTimeseries,
carbonara.TimeSerieArchive.aggregated,
[tsc1, tsc2], from_timestamp=dtfrom,
to_timestamp=dtto)
# Retry with 80% and it works
output = carbonara.TimeSerieArchive.aggregated([
tsc1, tsc2], from_timestamp=dtfrom, to_timestamp=dtto,
needed_percent_of_overlap=80.0)
self.assertEqual([
(pandas.Timestamp('2014-01-01 12:01:00'), 60.0, 3.0),
(pandas.Timestamp('2014-01-01 12:02:00'), 60.0, 3.0),
(pandas.Timestamp('2014-01-01 12:03:00'), 60.0, 4.0),
(pandas.Timestamp('2014-01-01 12:04:00'), 60.0, 4.0),
(pandas.Timestamp('2014-01-01 12:05:00'), 60.0, 3.0),
(pandas.Timestamp('2014-01-01 12:06:00'), 60.0, 5.0),
(pandas.Timestamp('2014-01-01 12:07:00'), 60.0, 10.0),
(pandas.Timestamp('2014-01-01 12:09:00'), 60.0, 2.0),
], output)
def test_aggregated_different_archive_overlap_edge_missing1(self):
tsc1 = carbonara.TimeSerieArchive.from_definitions([(60, 10)])
tsc2 = carbonara.TimeSerieArchive.from_definitions([(60, 10)])
tsc1.set_values([
(datetime.datetime(2014, 1, 1, 12, 3, 0), 9),
(datetime.datetime(2014, 1, 1, 12, 4, 0), 1),
(datetime.datetime(2014, 1, 1, 12, 5, 0), 2),
(datetime.datetime(2014, 1, 1, 12, 6, 0), 7),
(datetime.datetime(2014, 1, 1, 12, 7, 0), 5),
(datetime.datetime(2014, 1, 1, 12, 8, 0), 3),
])
tsc2.set_values([
(datetime.datetime(2014, 1, 1, 11, 0, 0), 6),
(datetime.datetime(2014, 1, 1, 12, 1, 0), 2),
(datetime.datetime(2014, 1, 1, 12, 2, 0), 13),
(datetime.datetime(2014, 1, 1, 12, 3, 0), 24),
(datetime.datetime(2014, 1, 1, 12, 4, 0), 4),
(datetime.datetime(2014, 1, 1, 12, 5, 0), 16),
(datetime.datetime(2014, 1, 1, 12, 6, 0), 12),
])
# By default we require 100% of point that overlap
# but we allow that the last datapoint is missing
# of the precisest granularity
output = carbonara.TimeSerieArchive.aggregated([
tsc1, tsc2], aggregation='sum')
self.assertEqual([
(pandas.Timestamp('2014-01-01 12:03:00'), 60.0, 33.0),
(pandas.Timestamp('2014-01-01 12:04:00'), 60.0, 5.0),
(pandas.Timestamp('2014-01-01 12:05:00'), 60.0, 18.0),
(pandas.Timestamp('2014-01-01 12:06:00'), 60.0, 19.0),
], output)
def test_aggregated_different_archive_overlap_edge_missing2(self):
tsc1 = carbonara.TimeSerieArchive.from_definitions([(60, 10)])
tsc2 = carbonara.TimeSerieArchive.from_definitions([(60, 10)])
tsc1.set_values([
(datetime.datetime(2014, 1, 1, 12, 3, 0), 4),
])
tsc2.set_values([
(datetime.datetime(2014, 1, 1, 11, 0, 0), 4),
(datetime.datetime(2014, 1, 1, 12, 3, 0), 4),
])
output = carbonara.TimeSerieArchive.aggregated([tsc1, tsc2])
self.assertEqual([
(pandas.Timestamp('2014-01-01 12:03:00'), 60.0, 4.0),
], output)
class CarbonaraCmd(base.BaseTestCase):
def setUp(self):
super(CarbonaraCmd, self).setUp()
self.useFixture(fixtures.NestedTempfile())
def test_create(self):
filename = tempfile.mktemp()
subp = subprocess.Popen(['carbonara-create',
'1,2',
filename],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
out, err = subp.communicate()
subp.wait()
os.stat(filename)
self.assertEqual(0, subp.returncode)
self.assertEqual(b"", out)
def test_dump(self):
filename = tempfile.mktemp()
subp = subprocess.Popen(['carbonara-create',
'1,2',
filename])
subp.wait()
subp = subprocess.Popen(['carbonara-dump',
filename],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
out, err = subp.communicate()
subp.wait()
self.assertIn(b"Back window", out)
def test_update(self):
filename = tempfile.mktemp()
subp = subprocess.Popen(['carbonara-create',
'2,2',
filename])
subp.wait()
subp = subprocess.Popen(['carbonara-update',
'2014-12-23 23:23:23,1',
'2014-12-23 23:23:24,10',
filename])
subp.wait()
subp = subprocess.Popen(['carbonara-update',
'2014-12-23 23:23:25,7',
filename])
subp.wait()
subp = subprocess.Popen(['carbonara-dump',
filename],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
out, err = subp.communicate()
subp.wait()
self.assertEqual(u"""Aggregation method: mean
Number of aggregated timeseries: 1
Back window: 0 × 2s = 0s
Number of full resolution measures: 2
+---------------------+-------+
| Timestamp | Value |
+---------------------+-------+
| 2014-12-23 23:23:24 | 10.0 |
| 2014-12-23 23:23:25 | 7.0 |
+---------------------+-------+
Aggregated timeserie #1: 2s × 2 = 0:00:04
Number of measures: 2
+---------------------+-------+
| Timestamp | Value |
+---------------------+-------+
| 2014-12-23 23:23:22 | 1.0 |
| 2014-12-23 23:23:24 | 8.5 |
+---------------------+-------+
""", out.decode('utf-8'))
| 42.631515
| 79
| 0.504905
| 4,535
| 35,171
| 3.871003
| 0.089526
| 0.221475
| 0.276844
| 0.290686
| 0.802791
| 0.791968
| 0.760695
| 0.729194
| 0.632185
| 0.560068
| 0
| 0.202559
| 0.335504
| 35,171
| 824
| 80
| 42.683252
| 0.548457
| 0.045236
| 0
| 0.576246
| 0
| 0.001466
| 0.064126
| 0.00555
| 0
| 0
| 0
| 0.001214
| 0.093842
| 1
| 0.054252
| false
| 0
| 0.013196
| 0
| 0.073314
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
eae9b83e2559fe55b3232af5828b1dccf54b7b8e
| 34,017
|
py
|
Python
|
tests/image/test_encode_decode.py
|
rosalindfranklininstitute/kompressor
|
9634bf605985827ba1ca7f028f488f8eac78cb53
|
[
"MIT"
] | 3
|
2022-03-08T18:19:32.000Z
|
2022-03-14T19:58:01.000Z
|
tests/image/test_encode_decode.py
|
rosalindfranklininstitute/kompressor
|
9634bf605985827ba1ca7f028f488f8eac78cb53
|
[
"MIT"
] | 10
|
2022-03-01T12:03:01.000Z
|
2022-03-10T08:47:21.000Z
|
tests/image/test_encode_decode.py
|
rosalindfranklininstitute/kompressor
|
9634bf605985827ba1ca7f028f488f8eac78cb53
|
[
"MIT"
] | null | null | null |
# MIT License
#
# Copyright (c) 2020 Joss Whittle
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# Utility imports
import unittest
from itertools import product
from functools import partial
from tqdm import tqdm
import numpy as np
import jax
import jax.numpy as jnp
# Test imports
import kompressor as kom
class ImageEncodeDecodeTest(unittest.TestCase):
def dummy_highres(self, shape=(2, 17, 17, 3), max_value=256, dtype=jnp.uint8):
highres = (jnp.arange(np.prod(shape)).reshape(shape) % max_value).astype(dtype)
return highres
def dummy_predictions_fn(self, padding):
# Dummy regression predictor function just predicts the average of the neighborhood features
def predictions_fn(lowres):
# Extract the features for each neighborhood
features = kom.image.features_from_lowres(lowres, padding)
# Dummy predictions are just the average values of the neighborhoods
predictions = jnp.mean(features.astype(jnp.float32), axis=3, keepdims=True).astype(lowres.dtype)
predictions = jnp.repeat(predictions, repeats=5, axis=3)
# Extract the maps from the predictions
return kom.image.maps_from_predictions(predictions)
return predictions_fn
def dummy_predictions_categorical_fn(self, padding, classes):
# Dummy categorical predictor function just predicts a constant set of logits
def predictions_fn(lowres):
# Sample a constant set of random logits (for test consistency)
key = jax.random.PRNGKey(1234)
logits = jax.random.uniform(key, (1, 1, 1, 5, *lowres.shape[3:], classes))
# Tile the same logits for every pixel and batch element
predictions = jnp.tile(logits, (lowres.shape[0],
(lowres.shape[1]-1) - (padding*2),
(lowres.shape[2]-1) - (padding*2),
1, *([1] * len(lowres.shape[3:])), 1))
# Extract the maps from the predictions
pred_maps = kom.image.maps_from_predictions(predictions)
# Convert the predictions to dummy logits (one hot encodings)
return [jax.nn.softmax(pred_map, axis=-1) for pred_map in pred_maps]
return predictions_fn
def test_encode_decode(self):
"""
Test we can do an encode + decode cycle on an image processing the whole input at once using different paddings.
"""
for padding in range(2):
with self.subTest('Test with odd dimensions',
padding=padding):
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_fn(padding=padding)
encode_fn = kom.image.encode_values_uint8
decode_fn = kom.image.decode_values_uint8
# Get a dummy highres image to encode + decode
highres = self.dummy_highres()
# Encode the entire image at once
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Check that even padding was applied correctly
eh, ew = dims
self.assertEqual(eh, 0)
self.assertEqual(ew, 0)
# Check that the lowres and maps are the correct sizes and dtypes
lrmap, udmap, cmap = maps
self.assertEqual(lowres.dtype, highres.dtype)
self.assertEqual(lowres.ndim, highres.ndim)
self.assertTrue(np.allclose(lowres.shape, [
highres.shape[0],
((highres.shape[1] - 1) // 2) + 1,
((highres.shape[2] - 1) // 2) + 1,
*highres.shape[3:]
]))
self.assertEqual(lrmap.dtype, highres.dtype)
self.assertEqual(lrmap.ndim, highres.ndim)
self.assertTrue(np.allclose(lrmap.shape, [
highres.shape[0],
(highres.shape[1] - 1) // 2,
((highres.shape[2] - 1) // 2) + 1,
*highres.shape[3:]
]))
self.assertEqual(udmap.dtype, highres.dtype)
self.assertEqual(udmap.ndim, highres.ndim)
self.assertTrue(np.allclose(udmap.shape, [
highres.shape[0],
((highres.shape[1] - 1) // 2) + 1,
(highres.shape[2] - 1) // 2,
*highres.shape[3:]
]))
self.assertEqual(cmap.dtype, highres.dtype)
self.assertEqual(cmap.ndim, highres.ndim)
self.assertTrue(np.allclose(cmap.shape, [
highres.shape[0],
(highres.shape[1] - 1) // 2,
(highres.shape[2] - 1) // 2,
*highres.shape[3:]
]))
# Decode the entire image at once
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
for padding in range(2):
with self.subTest('Test with even dimensions',
padding=padding):
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_fn(padding=padding)
encode_fn = kom.image.encode_values_uint8
decode_fn = kom.image.decode_values_uint8
# Get a dummy highres image to encode + decode
highres = self.dummy_highres(shape=(2, 16, 16, 3))
# Encode the entire image at once
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Check that even padding was applied correctly
eh, ew = dims
self.assertEqual(eh, 1)
self.assertEqual(ew, 1)
# Decode the entire image at once
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
def test_encode_decode_categorical(self):
"""
Test we can do an encode + decode cycle on an image processing the whole input at once using different paddings
using a categorical predictor and encoding.
"""
for padding in range(2):
with self.subTest('Test with odd dimensions',
padding=padding):
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_categorical_fn(padding=padding, classes=256)
encode_fn = kom.image.encode_categorical
decode_fn = kom.image.decode_categorical
# Get a dummy highres image to encode + decode
highres = self.dummy_highres()
# Encode the entire image at once
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Check that even padding was applied correctly
eh, ew = dims
self.assertEqual(eh, 0)
self.assertEqual(ew, 0)
# Check that the lowres and maps are the correct sizes and dtypes
lrmap, udmap, cmap = maps
self.assertEqual(lowres.dtype, highres.dtype)
self.assertEqual(lowres.ndim, highres.ndim)
self.assertTrue(np.allclose(lowres.shape, [
highres.shape[0],
((highres.shape[1] - 1) // 2) + 1,
((highres.shape[2] - 1) // 2) + 1,
*highres.shape[3:]
]))
self.assertEqual(lrmap.dtype, highres.dtype)
self.assertEqual(lrmap.ndim, highres.ndim)
self.assertTrue(np.allclose(lrmap.shape, [
highres.shape[0],
(highres.shape[1] - 1) // 2,
((highres.shape[2] - 1) // 2) + 1,
*highres.shape[3:]
]))
self.assertEqual(udmap.dtype, highres.dtype)
self.assertEqual(udmap.ndim, highres.ndim)
self.assertTrue(np.allclose(udmap.shape, [
highres.shape[0],
((highres.shape[1] - 1) // 2) + 1,
(highres.shape[2] - 1) // 2,
*highres.shape[3:]
]))
self.assertEqual(cmap.dtype, highres.dtype)
self.assertEqual(cmap.ndim, highres.ndim)
self.assertTrue(np.allclose(cmap.shape, [
highres.shape[0],
(highres.shape[1] - 1) // 2,
(highres.shape[2] - 1) // 2,
*highres.shape[3:]
]))
# Decode the entire image at once
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
for padding in range(2):
with self.subTest('Test with even dimensions',
padding=padding):
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_categorical_fn(padding=padding, classes=256)
encode_fn = kom.image.encode_categorical
decode_fn = kom.image.decode_categorical
# Get a dummy highres image to encode + decode
highres = self.dummy_highres(shape=(2, 16, 16, 3))
# Encode the entire image at once
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Check that even padding was applied correctly
eh, ew = dims
self.assertEqual(eh, 1)
self.assertEqual(ew, 1)
# Decode the entire image at once
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
def test_encode_decode_raw(self):
"""
Test we can do an encode + decode cycle on an image processing the whole input at once using different paddings
using a regression predictor and raw encoding.
"""
padding = 0
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_fn(padding=padding)
encode_fn = kom.image.encode_values_raw
decode_fn = kom.image.decode_values_raw
# Get a dummy highres image to encode + decode
highres = jnp.int32(self.dummy_highres())
# Encode the entire image at once
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Check that even padding was applied correctly
eh, ew = dims
self.assertEqual(eh, 0)
self.assertEqual(ew, 0)
# Check that the lowres and maps are the correct sizes and dtypes
lrmap, udmap, cmap = maps
self.assertEqual(lowres.dtype, highres.dtype)
self.assertEqual(lowres.ndim, highres.ndim)
self.assertTrue(np.allclose(lowres.shape, [
highres.shape[0],
((highres.shape[1] - 1) // 2) + 1,
((highres.shape[2] - 1) // 2) + 1,
*highres.shape[3:]
]))
self.assertEqual(lrmap.dtype, highres.dtype)
self.assertEqual(lrmap.ndim, highres.ndim)
self.assertTrue(np.allclose(lrmap.shape, [
highres.shape[0],
(highres.shape[1] - 1) // 2,
((highres.shape[2] - 1) // 2) + 1,
*highres.shape[3:]
]))
self.assertEqual(udmap.dtype, highres.dtype)
self.assertEqual(udmap.ndim, highres.ndim)
self.assertTrue(np.allclose(udmap.shape, [
highres.shape[0],
((highres.shape[1] - 1) // 2) + 1,
(highres.shape[2] - 1) // 2,
*highres.shape[3:]
]))
self.assertEqual(cmap.dtype, highres.dtype)
self.assertEqual(cmap.ndim, highres.ndim)
self.assertTrue(np.allclose(cmap.shape, [
highres.shape[0],
(highres.shape[1] - 1) // 2,
(highres.shape[2] - 1) // 2,
*highres.shape[3:]
]))
# Decode the entire image at once
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
def test_encode_chunks(self):
"""
Test we can encode an image processing the input in chunks and with different paddings.
"""
for encode_chunk, padding in product([6, 11, (6, 11)], range(2)):
with self.subTest('Test with odd dimensions',
encode_chunk=encode_chunk, padding=padding):
# Make logging functions for this test
encode_progress_fn = partial(tqdm, desc=f'kom.image.encode_chunks '
f'encode_chunk={encode_chunk}, padding={padding}')
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_fn(padding=padding)
encode_fn = kom.image.encode_values_uint8
decode_fn = kom.image.decode_values_uint8
# Get a dummy highres image to encode + decode
highres = self.dummy_highres()
# Encode the entire input at once to check for consistency
full_lowres, (full_maps, full_dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
full_lrmap, full_udmap, full_cmap = full_maps
# Encode the input in chunks
lowres, (maps, dims) = kom.image.encode_chunks(predictions_fn, encode_fn, highres,
chunk=encode_chunk, padding=padding,
progress_fn=encode_progress_fn)
# Check that even padding was applied correctly
(eh, ew), (full_eh, full_ew) = dims, full_dims
self.assertEqual(eh, 0)
self.assertEqual(ew, 0)
self.assertEqual(eh, full_eh)
self.assertEqual(ew, full_ew)
# Check that processing in chunks gives the same results as processing all at once
lrmap, udmap, cmap = maps
self.assertEqual(lowres.dtype, full_lowres.dtype)
self.assertEqual(lowres.ndim, full_lowres.ndim)
self.assertTrue(np.allclose(lowres, full_lowres))
self.assertEqual(lrmap.dtype, full_lrmap.dtype)
self.assertEqual(lrmap.ndim, full_lrmap.ndim)
self.assertTrue(np.allclose(lrmap, full_lrmap))
self.assertEqual(udmap.dtype, full_udmap.dtype)
self.assertEqual(udmap.ndim, full_udmap.ndim)
self.assertTrue(np.allclose(udmap, full_udmap))
self.assertEqual(cmap.dtype, full_cmap.dtype)
self.assertEqual(cmap.ndim, full_cmap.ndim)
self.assertTrue(np.allclose(cmap, full_cmap))
# Decode the image in one pass
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
for encode_chunk, padding in product([6, 11], range(2)):
with self.subTest('Test with even dimensions',
encode_chunk=encode_chunk, padding=padding):
# Make logging functions for this test
encode_progress_fn = partial(tqdm, desc=f'kom.image.encode_chunks '
f'encode_chunk={encode_chunk}, padding={padding}')
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_fn(padding=padding)
encode_fn = kom.image.encode_values_uint8
decode_fn = kom.image.decode_values_uint8
# Get a dummy highres image to encode + decode
highres = self.dummy_highres(shape=(2, 16, 16, 3))
# Encode the entire input at once to check for consistency
full_lowres, (full_maps, full_dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Encode the input in chunks
lowres, (maps, dims) = kom.image.encode_chunks(predictions_fn, encode_fn, highres,
chunk=encode_chunk, padding=padding,
progress_fn=encode_progress_fn)
# Check that even padding was applied correctly
(eh, ew), (full_eh, full_ew) = dims, full_dims
self.assertEqual(eh, full_eh)
self.assertEqual(ew, full_ew)
# Decode the image in one pass
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
def test_decode_chunks(self):
"""
Test we can decode an image processing the input in chunks and with different paddings.
"""
for decode_chunk, padding in product([6, 11, (6, 11)], range(2)):
with self.subTest('Test with odd dimensions',
decode_chunk=decode_chunk, padding=padding):
# Make logging functions for this test
decode_progress_fn = partial(tqdm, desc=f'kom.image.decode_chunks '
f'decode_chunk={decode_chunk}, padding={padding}')
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_fn(padding=padding)
encode_fn = kom.image.encode_values_uint8
decode_fn = kom.image.decode_values_uint8
# Get a dummy highres image to encode + decode
highres = self.dummy_highres()
# Encode the entire input at once to check for consistency
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Decode the image in chunks
reconstructed_highres = kom.image.decode_chunks(predictions_fn, decode_fn, lowres, (maps, dims),
chunk=decode_chunk, padding=padding,
progress_fn=decode_progress_fn)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
for decode_chunk, padding in product([6, 11], range(2)):
with self.subTest('Test with even dimensions',
decode_chunk=decode_chunk, padding=padding):
# Make logging functions for this test
decode_progress_fn = partial(tqdm, desc=f'kom.image.decode_chunks '
f'decode_chunk={decode_chunk}, padding={padding}')
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_fn(padding=padding)
encode_fn = kom.image.encode_values_uint8
decode_fn = kom.image.decode_values_uint8
# Get a dummy highres image to encode + decode
highres = self.dummy_highres(shape=(2, 16, 16, 3))
# Encode the entire input at once to check for consistency
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Decode the image in chunks
reconstructed_highres = kom.image.decode_chunks(predictions_fn, decode_fn, lowres, (maps, dims),
chunk=decode_chunk, padding=padding,
progress_fn=decode_progress_fn)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
def test_encode_chunks_categorical(self):
"""
Test we can encode an image processing the input in chunks and with different paddings
with a categorical predictions function.
"""
for encode_chunk, padding in product([6, 11, (6, 11)], range(2)):
with self.subTest('Test with odd dimensions',
encode_chunk=encode_chunk, padding=padding):
# Make logging functions for this test
encode_progress_fn = partial(tqdm, desc=f'kom.image.encode_chunks_categorical '
f'encode_chunk={encode_chunk}, padding={padding}')
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_categorical_fn(padding=padding, classes=256)
encode_fn = kom.image.encode_categorical
decode_fn = kom.image.decode_categorical
# Get a dummy highres image to encode + decode
highres = self.dummy_highres()
# Encode the entire input at once to check for consistency
full_lowres, (full_maps, full_dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
full_lrmap, full_udmap, full_cmap = full_maps
# Encode the input in chunks
lowres, (maps, dims) = kom.image.encode_chunks(predictions_fn, encode_fn, highres,
chunk=encode_chunk, padding=padding,
progress_fn=encode_progress_fn)
# Check that even padding was applied correctly
(eh, ew), (full_eh, full_ew) = dims, full_dims
self.assertEqual(eh, 0)
self.assertEqual(ew, 0)
self.assertEqual(eh, full_eh)
self.assertEqual(ew, full_ew)
# Check that processing in chunks gives the same results as processing all at once
lrmap, udmap, cmap = maps
self.assertEqual(lowres.dtype, full_lowres.dtype)
self.assertEqual(lowres.ndim, full_lowres.ndim)
self.assertTrue(np.allclose(lowres, full_lowres))
self.assertEqual(lrmap.dtype, full_lrmap.dtype)
self.assertEqual(lrmap.ndim, full_lrmap.ndim)
self.assertTrue(np.allclose(lrmap, full_lrmap))
self.assertEqual(udmap.dtype, full_udmap.dtype)
self.assertEqual(udmap.ndim, full_udmap.ndim)
self.assertTrue(np.allclose(udmap, full_udmap))
self.assertEqual(cmap.dtype, full_cmap.dtype)
self.assertEqual(cmap.ndim, full_cmap.ndim)
self.assertTrue(np.allclose(cmap, full_cmap))
# Decode the image in one pass
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
for encode_chunk, padding in product([6, 11], range(2)):
with self.subTest('Test with even dimensions',
encode_chunk=encode_chunk, padding=padding):
# Make logging functions for this test
encode_progress_fn = partial(tqdm, desc=f'kom.image.encode_chunks_categorical '
f'encode_chunk={encode_chunk}, padding={padding}')
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_categorical_fn(padding=padding, classes=256)
encode_fn = kom.image.encode_categorical
decode_fn = kom.image.decode_categorical
# Get a dummy highres image to encode + decode
highres = self.dummy_highres(shape=(2, 16, 16, 3))
# Encode the entire input at once to check for consistency
full_lowres, (full_maps, full_dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Encode the input in chunks
lowres, (maps, dims) = kom.image.encode_chunks(predictions_fn, encode_fn, highres,
chunk=encode_chunk, padding=padding,
progress_fn=encode_progress_fn)
# Check that even padding was applied correctly
(eh, ew), (full_eh, full_ew) = dims, full_dims
self.assertEqual(eh, full_eh)
self.assertEqual(ew, full_ew)
# Decode the image in one pass
reconstructed_highres = kom.image.decode(predictions_fn, decode_fn, lowres, (maps, dims),
padding=padding)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
def test_decode_chunks_categorical(self):
"""
Test we can decode an image processing the input in chunks and with different paddings
with a categorical predictions function.
"""
for decode_chunk, padding in product([6, 11, (6, 11)], range(2)):
with self.subTest('Test with odd dimensions',
decode_chunk=decode_chunk, padding=padding):
# Make logging functions for this test
decode_progress_fn = partial(tqdm, desc=f'kom.image.decode_chunks_categorical '
f'decode_chunk={decode_chunk}, padding={padding}')
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_categorical_fn(padding=padding, classes=256)
encode_fn = kom.image.encode_categorical
decode_fn = kom.image.decode_categorical
# Get a dummy highres image to encode + decode
highres = self.dummy_highres()
# Encode the entire input at once to check for consistency
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Decode the image in chunks
reconstructed_highres = kom.image.decode_chunks(predictions_fn, decode_fn, lowres, (maps, dims),
chunk=decode_chunk, padding=padding,
progress_fn=decode_progress_fn)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
for decode_chunk, padding in product([6, 11], range(2)):
with self.subTest('Test with even dimensions',
decode_chunk=decode_chunk, padding=padding):
# Make logging functions for this test
decode_progress_fn = partial(tqdm, desc=f'kom.image.decode_chunks_categorical '
f'decode_chunk={decode_chunk}, padding={padding}')
# Make a prediction function for this test
predictions_fn = self.dummy_predictions_categorical_fn(padding=padding, classes=256)
encode_fn = kom.image.encode_categorical
decode_fn = kom.image.decode_categorical
# Get a dummy highres image to encode + decode
highres = self.dummy_highres(shape=(2, 16, 16, 3))
# Encode the entire input at once to check for consistency
lowres, (maps, dims) = kom.image.encode(predictions_fn, encode_fn, highres,
padding=padding)
# Decode the image in chunks
reconstructed_highres = kom.image.decode_chunks(predictions_fn, decode_fn, lowres, (maps, dims),
chunk=decode_chunk, padding=padding,
progress_fn=decode_progress_fn)
# Check the decoded image is lossless
self.assertEqual(reconstructed_highres.dtype, highres.dtype)
self.assertEqual(reconstructed_highres.ndim, highres.ndim)
self.assertTrue(np.allclose(reconstructed_highres, highres))
| 48.734957
| 120
| 0.557074
| 3,586
| 34,017
| 5.159509
| 0.069994
| 0.071344
| 0.025727
| 0.035672
| 0.878229
| 0.877635
| 0.867366
| 0.867366
| 0.867366
| 0.865096
| 0
| 0.01293
| 0.36567
| 34,017
| 697
| 121
| 48.804878
| 0.844518
| 0.183496
| 0
| 0.909091
| 0
| 0
| 0.032849
| 0.016607
| 0
| 0
| 0
| 0
| 0.297297
| 1
| 0.029484
| false
| 0
| 0.019656
| 0
| 0.063882
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
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| 0
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| 0
| 0
|
0
| 7
|
f4999235180b47773f2000717278c6998608653c
| 1,715
|
py
|
Python
|
home/migrations/0014_auto_20180514_1528.py
|
uktrade/invest
|
15b84c511839b46e81608fca9762d2df3f6df16c
|
[
"MIT"
] | 1
|
2019-01-18T03:50:46.000Z
|
2019-01-18T03:50:46.000Z
|
home/migrations/0014_auto_20180514_1528.py
|
uktrade/invest
|
15b84c511839b46e81608fca9762d2df3f6df16c
|
[
"MIT"
] | 50
|
2018-01-24T18:04:08.000Z
|
2019-01-03T03:30:30.000Z
|
home/migrations/0014_auto_20180514_1528.py
|
uktrade/invest
|
15b84c511839b46e81608fca9762d2df3f6df16c
|
[
"MIT"
] | 2
|
2018-02-12T15:20:52.000Z
|
2019-01-18T03:51:52.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-05-14 15:28
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0013_auto_20180514_1455'),
]
operations = [
migrations.AddField(
model_name='homepage',
name='how_we_help_lead_in_ar',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='homepage',
name='how_we_help_lead_in_de',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='homepage',
name='how_we_help_lead_in_en',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='homepage',
name='how_we_help_lead_in_es',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='homepage',
name='how_we_help_lead_in_fr',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='homepage',
name='how_we_help_lead_in_ja',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='homepage',
name='how_we_help_lead_in_pt',
field=models.TextField(blank=True, null=True),
),
migrations.AddField(
model_name='homepage',
name='how_we_help_lead_in_zh_cn',
field=models.TextField(blank=True, null=True),
),
]
| 30.625
| 58
| 0.579009
| 190
| 1,715
| 4.926316
| 0.284211
| 0.153846
| 0.196581
| 0.230769
| 0.777778
| 0.777778
| 0.777778
| 0.738248
| 0.738248
| 0.738248
| 0
| 0.02862
| 0.307289
| 1,715
| 55
| 59
| 31.181818
| 0.759259
| 0.040233
| 0
| 0.666667
| 1
| 0
| 0.164334
| 0.122946
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.041667
| 0
| 0.104167
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f4a39a22d8a98b8b2b9e9a69a5840093a0dafc54
| 6,495
|
py
|
Python
|
tests/test_chb.py
|
harenbrs/sparsulant
|
a55cba9a54da4d3e63fc3aae5c262097196e3784
|
[
"MIT"
] | null | null | null |
tests/test_chb.py
|
harenbrs/sparsulant
|
a55cba9a54da4d3e63fc3aae5c262097196e3784
|
[
"MIT"
] | null | null | null |
tests/test_chb.py
|
harenbrs/sparsulant
|
a55cba9a54da4d3e63fc3aae5c262097196e3784
|
[
"MIT"
] | null | null | null |
from functools import lru_cache
import pytest
import numpy as np
from sparsulant import chb_matrix, cic_matrix, nbytes
@pytest.mark.benchmark(group='chb[cic]-vmul')
class TestCICBlockVectorMultiplication:
@lru_cache(maxsize=1, typed=True)
def get_setup(self, n_blocks, block_shape, block_shift, shift, density):
shape = (block_shape[0], n_blocks*block_shape[1])
state = np.random.RandomState(0)
column = state.uniform(-1, 1, shape[0])
vector = state.uniform(-1, 1, shape[1])
if isinstance(density, int) and density == 1:
cic = cic_matrix((column, block_shift), block_shape)
else:
mask = state.uniform(0, 1, shape[0]) <= density
data = column[mask]
offsets, = np.nonzero(mask)
cic = cic_matrix((data, offsets, block_shift), block_shape)
return chb_matrix((cic, shift), shape), vector
def test_chb_cic_vmul(
self, n_blocks, block_shape, block_shift, shift, density, benchmark
):
chb, vector = self.get_setup(n_blocks, block_shape, block_shift, shift, density)
result = benchmark(chb._mul_vector, vector)
assert np.allclose(result, chb.tocsr()._mul_vector(vector))
benchmark.extra_info['memory'] = nbytes(chb)
def test_chb_cic_vmul_baseline(
self, n_blocks, block_shape, block_shift, shift, density, benchmark
):
chb, vector = self.get_setup(n_blocks, block_shape, block_shift, shift, density)
csr = chb.tocsr()
benchmark(csr._mul_vector, vector)
benchmark.extra_info['memory'] = nbytes(csr)
@pytest.mark.benchmark(group='chb[cic]-mmul')
class TestCICBlockMatrixMultiplication:
@lru_cache(maxsize=1, typed=True)
def get_setup(self, n_blocks, block_shape, block_shift, shift, density):
shape = (block_shape[0], n_blocks*block_shape[1])
state = np.random.RandomState(0)
column = state.uniform(-1, 1, shape[0])
matrix = state.uniform(-1, 1, (shape[1], shape[1]//10))
if isinstance(density, int) and density == 1:
cic = cic_matrix((column, block_shift), block_shape)
else:
mask = state.uniform(0, 1, shape[0]) <= density
data = column[mask]
offsets, = np.nonzero(mask)
cic = cic_matrix((data, offsets, block_shift), block_shape)
return chb_matrix((cic, shift), shape), matrix
def test_chb_cic_mmul(
self, n_blocks, block_shape, block_shift, shift, density, benchmark
):
chb, matrix = self.get_setup(n_blocks, block_shape, block_shift, shift, density)
result = benchmark(chb._mul_multivector, matrix)
assert np.allclose(result, chb.tocsr()._mul_multivector(matrix))
benchmark.extra_info['memory'] = nbytes(chb)
def test_chb_cic_mmul_baseline(
self, n_blocks, block_shape, block_shift, shift, density, benchmark
):
chb, matrix = self.get_setup(n_blocks, block_shape, block_shift, shift, density)
csr = chb.tocsr()
benchmark(csr._mul_multivector, matrix)
benchmark.extra_info['memory'] = nbytes(csr)
@pytest.mark.benchmark(group='chb[csr]-vmul')
class TestCSRBlockVectorMultiplication:
@lru_cache(maxsize=1, typed=True)
def get_setup(self, n_blocks, block_shape, block_shift, shift, density):
shape = (block_shape[0], n_blocks*block_shape[1])
state = np.random.RandomState(0)
column = state.uniform(-1, 1, shape[0])
vector = state.uniform(-1, 1, shape[1])
if isinstance(density, int) and density == 1:
cic = cic_matrix((column, block_shift), block_shape)
else:
mask = state.uniform(0, 1, shape[0]) <= density
data = column[mask]
offsets, = np.nonzero(mask)
cic = cic_matrix((data, offsets, block_shift), block_shape)
return chb_matrix((cic.tocsr(), shift), shape), vector
def test_chb_csr_vmul(
self, n_blocks, block_shape, block_shift, shift, density, benchmark
):
chb, vector = self.get_setup(n_blocks, block_shape, block_shift, shift, density)
result = benchmark(chb._mul_vector, vector)
assert np.allclose(result, chb.tocsr()._mul_vector(vector))
benchmark.extra_info['memory'] = nbytes(chb)
def test_chb_csr_vmul_baseline(
self, n_blocks, block_shape, block_shift, shift, density, benchmark
):
chb, vector = self.get_setup(n_blocks, block_shape, block_shift, shift, density)
csr = chb.tocsr()
benchmark(csr._mul_vector, vector)
benchmark.extra_info['memory'] = nbytes(csr)
@pytest.mark.benchmark(group='chb[csr]-mmul')
class TestCSRBlockMatrixMultiplication:
@lru_cache(maxsize=1, typed=True)
def get_setup(self, n_blocks, block_shape, block_shift, shift, density):
shape = (block_shape[0], n_blocks*block_shape[1])
state = np.random.RandomState(0)
column = state.uniform(-1, 1, shape[0])
matrix = state.uniform(-1, 1, (shape[1], shape[1]//10))
if isinstance(density, int) and density == 1:
cic = cic_matrix((column, block_shift), block_shape)
else:
mask = state.uniform(0, 1, shape[0]) <= density
data = column[mask]
offsets, = np.nonzero(mask)
cic = cic_matrix((data, offsets, block_shift), block_shape)
return chb_matrix((cic.tocsr(), shift), shape), matrix
def test_chb_csr_mmul(
self, n_blocks, block_shape, block_shift, shift, density, benchmark
):
chb, matrix = self.get_setup(n_blocks, block_shape, block_shift, shift, density)
result = benchmark(chb._mul_multivector, matrix)
assert np.allclose(result, chb.tocsr()._mul_multivector(matrix))
benchmark.extra_info['memory'] = nbytes(chb)
def test_chb_csr_mmul_baseline(
self, n_blocks, block_shape, block_shift, shift, density, benchmark
):
chb, matrix = self.get_setup(n_blocks, block_shape, block_shift, shift, density)
csr = chb.tocsr()
benchmark(csr._mul_multivector, matrix)
benchmark.extra_info['memory'] = nbytes(csr)
| 37.114286
| 88
| 0.621555
| 803
| 6,495
| 4.804483
| 0.084682
| 0.093313
| 0.07465
| 0.105754
| 0.932089
| 0.928979
| 0.903836
| 0.903836
| 0.903836
| 0.903836
| 0
| 0.012973
| 0.264203
| 6,495
| 174
| 89
| 37.327586
| 0.794308
| 0
| 0
| 0.806452
| 0
| 0
| 0.015396
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 1
| 0.096774
| false
| 0
| 0.032258
| 0
| 0.193548
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| null | 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
f4c49a1c9594bd30eece9daa065ec074d827b203
| 4,734
|
py
|
Python
|
api/tst/test_api.py
|
brucejzou/TruePill
|
09e002b1fb8ef91eb60a8112c8ff57b7d824aa87
|
[
"MIT"
] | null | null | null |
api/tst/test_api.py
|
brucejzou/TruePill
|
09e002b1fb8ef91eb60a8112c8ff57b7d824aa87
|
[
"MIT"
] | null | null | null |
api/tst/test_api.py
|
brucejzou/TruePill
|
09e002b1fb8ef91eb60a8112c8ff57b7d824aa87
|
[
"MIT"
] | null | null | null |
import os
import pytest
from src.api import app
@pytest.fixture
def client():
app.config['TESTING'] = True
with app.test_client() as client:
yield client
def test_process_url_no_article_url(client):
rv = client.post('/api/truepill/', json={})
assert rv.status_code == 500
def test_process_url_not_request_json(client):
# chloe
rv = client.post('/api/truepill/', data=None)
assert rv.status_code == 500
def test_process_url_not_fb_url(client):
rv = client.post('/api/truepill/', json={
"article_url" : "https://www.bloomberg.com/graphics/2021-covid-race-and-recovery/?srnd=premium",
"number_suggestions": 4
})
assert rv.status_code == 200
json_data = rv.get_json()
assert 'article_url' in json_data and json_data['article_url'] is not None, "article_url not in response"
assert 'bias' in json_data and json_data['bias'] is not None, "bias not in response"
assert 'suggested_articles' in json_data, "suggested_articles not in response"
suggestions = json_data['suggested_articles']
assert len(suggestions) >= 1, "no suggestions in response"
first_suggestion = suggestions[0]
assert 'article_title' in first_suggestion and first_suggestion['article_title'] is not None, 'article_title not in suggested article data'
assert 'article_url' in first_suggestion and first_suggestion['article_url'] is not None, 'article_url not in suggested article data'
assert 'bias' in first_suggestion and first_suggestion['bias'] is not None, 'bias not in suggested article data'
def test_process_url_fb_url(client):
# chloe
rv = client.post('/api/truepill/', json={
"article_url" : "https://l.facebook.com/l.php?u=https%3A%2F%2Fwww.reuters.com%2Fnews%2Fpicture%2Fthai-shelter-for-disabled-stray-dogs-thr-idUSRTX8XTG1%2F1550403886%3Ffbclid%3DIwAR0Fd61ZalJYMVS8Cbq6KUgePJ937WGHxmRMQU59kNG4AxYzEc4fJ1t-ws8&h=AT1MPSv84XaEV7uPMPwsnZ3AGE08Iz2UYdsTAVnd7v7aMC56WgCvnMuaVMVK4CxKePDN0RD7zwakpEFLYmeEsFM9S8_SuK3NsoFaDZQ61f3wtCNVwUBIAniqA8CJ20Uqb79B&__tn__=H-R&c[0]=AT0XhQ85FG3-3DpjwxheOyqDtDPDqzDW0CeEkdc1xZyiCgywoRCMZrnPFVhOhhgPpk4rg8IgPhbqV7clzcaoHmJ5TshCqxOoK9wzglMwUPcR_jSGI3ivJQmVElNj8XEfh4XKvwtDDx3CwD736f_CFcvxB8WbkkTbcKQaSrETNYCf0LvCWgvn_vTJ",
"number_suggestions": 4
})
assert rv.status_code == 200
json_data = rv.get_json()
assert 'article_url' in json_data and json_data['article_url'] is not None, "article_url not in response"
assert 'bias' in json_data and json_data['bias'] is not None, "bias not in response"
assert 'suggested_articles' in json_data, "suggested_articles not in response"
suggestions = json_data['suggested_articles']
assert len(suggestions) >= 1, "no suggestions in response"
first_suggestion = suggestions[0]
assert 'article_title' in first_suggestion and first_suggestion['article_title'] is not None, 'article_title not in suggested article data'
assert 'article_url' in first_suggestion and first_suggestion['article_url'] is not None, 'article_url not in suggested article data'
assert 'bias' in first_suggestion and first_suggestion['bias'] is not None, 'bias not in suggested article data'
def test_process_url_twitter_url(client):
rv = client.post('/api/truepill/', json={
"article_url" : "https://t.co/otXFnAfLiW?amp=1",
"number_suggestions": 4
})
assert rv.status_code == 200
json_data = rv.get_json()
assert 'article_url' in json_data and json_data['article_url'] is not None, "article_url not in response"
assert 'bias' in json_data and json_data['bias'] is not None, "bias not in response"
assert 'suggested_articles' in json_data, "suggested_articles not in response"
suggestions = json_data['suggested_articles']
assert len(suggestions) >= 1, "no suggestions in response"
first_suggestion = suggestions[0]
assert 'article_title' in first_suggestion and first_suggestion['article_title'] is not None, 'article_title not in suggested article data'
assert 'article_url' in first_suggestion and first_suggestion['article_url'] is not None, 'article_url not in suggested article data'
assert 'bias' in first_suggestion and first_suggestion['bias'] is not None, 'bias not in suggested article data'
def test_process_url_zero_num_suggestions(client):
rv = client.post('/api/truepill/', json={
"article_url" : "https://t.co/otXFnAfLiW?amp=1",
"number_suggestions": 0
})
assert rv.status_code == 200
json_data = rv.get_json()
assert 'article_url' in json_data and json_data['article_url'] is not None, "article_url not in response"
assert 'bias' in json_data and json_data['bias'] is not None, "bias not in response"
| 57.731707
| 594
| 0.749683
| 651
| 4,734
| 5.235023
| 0.159754
| 0.076291
| 0.044894
| 0.046948
| 0.775235
| 0.775235
| 0.775235
| 0.762031
| 0.751467
| 0.739143
| 0
| 0.029155
| 0.152302
| 4,734
| 82
| 595
| 57.731707
| 0.820085
| 0.002324
| 0
| 0.732394
| 0
| 0.028169
| 0.429358
| 0
| 0
| 0
| 0
| 0
| 0.408451
| 1
| 0.098592
| false
| 0
| 0.042254
| 0
| 0.140845
| 0
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| 0
| null | 0
| 0
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| 1
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| 0
| 0
|
0
| 7
|
f4e2eb6bee2bf6ae52c59368454f3010acc106a7
| 6,054
|
py
|
Python
|
models/Options.py
|
anonymous-FedMLH/FedMLH
|
a214cd1c07c6dc0fb1d3d3440398ee8c8c6b702e
|
[
"MIT"
] | null | null | null |
models/Options.py
|
anonymous-FedMLH/FedMLH
|
a214cd1c07c6dc0fb1d3d3440398ee8c8c6b702e
|
[
"MIT"
] | null | null | null |
models/Options.py
|
anonymous-FedMLH/FedMLH
|
a214cd1c07c6dc0fb1d3d3440398ee8c8c6b702e
|
[
"MIT"
] | null | null | null |
import argparse
def args_parser_fedmach():
parser = argparse.ArgumentParser()
# TODO: need to be changed when changing dataset
parser.add_argument('--epochs', type=int, default=30, help="rounds of training")
parser.add_argument('--num_users', type=int, default=10, help="number of users: K")
parser.add_argument('--num_classes', type=int, default=30938, help="number of output classes")
parser.add_argument('--n_train', type=int, default=14146, help="number of total training data")
parser.add_argument('--n_test', type=int, default=6616, help='number of total test data')
parser.add_argument('--n_threads', type=int, default=32, help="number of threads")
parser.add_argument('--frac', type=float, default=0.4, help="the fraction of clients: C")
parser.add_argument('--local_ep', type=int, default=5, help="the number of local epochs: E")
parser.add_argument('--local_bs', type=int, default=100, help="local batch size")
parser.add_argument('--step_per_epoch', type=int, default=1, help="the number of steps per local epoch (should be changed during runtime)")
parser.add_argument('--total_test_steps', type=int, default=1, help="the number of steps during test (should be changed during runtime)")
parser.add_argument('--lr', type=float, default=0.01, help="learning rate")
parser.add_argument('--momentum', type=float, default=0.5, help="SGD momentum (default: 0.5)")
# model arguments
parser.add_argument('--model', type=str, default='mlp', help='model name')
parser.add_argument('--algorithm', type=str, default='fedmach', help='algorithm name')
parser.add_argument('--feature_hash', action='store_true', default=False, help='whether perform feature hashing')
parser.add_argument('--num_hash_features', type=int, default=1000, help='number of hashed features')
# other arguments
parser.add_argument('--B', type=int, default=500, help = "hash table size")
parser.add_argument('--R', type=int, default=4, help = "number of repetitions")
parser.add_argument('--dataset', type=str, default='Wiki10', help="name of dataset")
parser.add_argument('--iid', action='store_true', help='whether i.i.d or not')
parser.add_argument('--freq_thres', type=float, default=0.01, help="frequency threshold of frequent classes")
parser.add_argument('--gpu', type=int, default=0, help="GPU ID, -1 for CPU")
parser.add_argument('--stopping_rounds', type=int, default=10, help='rounds of early stopping')
parser.add_argument('--verbose', action='store_true', default=False, help='verbose print')
parser.add_argument('--seed', type=int, default=1, help='random seed (default: 1)')
args = parser.parse_args()
return args
def args_parser_fedavg():
parser = argparse.ArgumentParser()
# TODO: need to be changed when changing dataset
parser.add_argument('--epochs', type=int, default=50, help="rounds of training")
parser.add_argument('--num_users', type=int, default=10, help="number of users: K")
parser.add_argument('--num_classes', type=int, default=30938, help="number of output classes")
parser.add_argument('--n_train', type=int, default=14146, help="number of total training data")
parser.add_argument('--n_test', type=int, default=6616, help='number of total test data')
parser.add_argument('--n_threads', type=int, default=32, help="number of threads")
parser.add_argument('--frac', type=float, default=0.4, help="the fraction of clients: C")
parser.add_argument('--local_ep', type=int, default=5, help="the number of local epochs: E")
parser.add_argument('--local_bs', type=int, default=100, help="local batch size")
parser.add_argument('--step_per_epoch', type=int, default=1, help="the number of steps per local epoch (should be changed during runtime)")
parser.add_argument('--total_test_steps', type=int, default=1, help="the number of steps during test (should be changed during runtime)")
parser.add_argument('--lr', type=float, default=0.01, help="learning rate")
parser.add_argument('--momentum', type=float, default=0.5, help="SGD momentum (default: 0.5)")
# model arguments
parser.add_argument('--model', type=str, default='mlp', help='model name')
parser.add_argument('--algorithm', type=str, default='fedavg', help='algorithm name')
parser.add_argument('--model_avg', action='store_true', default=False, help='ensemble the models')
parser.add_argument('--num_model_avg', type=int, default=1, help='number of ensembled models')
parser.add_argument('--feature_hash', action='store_true', default=False, help='whether perform feature hashing')
parser.add_argument('--num_hash_features', type=int, default=1000, help='number of hashed features')
parser.add_argument('--reweight_feature', action='store_true', default=False, help='whether reweight features')
parser.add_argument('--reweight_equal', action='store_true', default=False, help='whether reweight to equal counts')
parser.add_argument('--feature_weight_loc', type=str, default='./lookup/bucket_class_prop.npy', help='feature weight file')
parser.add_argument('--dim1', type=int, default=400, help='dimension of first hidden layer')
parser.add_argument('--dim2', type=int, default=400, help='dimension of second hidden layer')
# other arguments
parser.add_argument('--dataset', type=str, default='Wiki10', help="name of dataset")
parser.add_argument('--iid', action='store_true', help='whether i.i.d or not')
parser.add_argument('--freq_thres', type=float, default=0.01, help="frequency threshold of frequent classes")
parser.add_argument('--gpu', type=int, default=0, help="GPU ID, -1 for CPU")
parser.add_argument('--stopping_rounds', type=int, default=10, help='rounds of early stopping')
parser.add_argument('--verbose', action='store_true', default=False, help='verbose print')
parser.add_argument('--seed', type=int, default=1, help='random seed (default: 1)')
args = parser.parse_args()
return args
| 73.829268
| 143
| 0.714899
| 873
| 6,054
| 4.828179
| 0.166094
| 0.121708
| 0.229893
| 0.032266
| 0.898221
| 0.869276
| 0.849822
| 0.834638
| 0.812811
| 0.812811
| 0
| 0.021365
| 0.126363
| 6,054
| 82
| 144
| 73.829268
| 0.775572
| 0.025933
| 0
| 0.757576
| 0
| 0
| 0.371244
| 0.005093
| 0
| 0
| 0
| 0.012195
| 0
| 1
| 0.030303
| false
| 0
| 0.015152
| 0
| 0.075758
| 0.030303
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| null | 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
5210f5a819a37fa38fd77311215a290e4f2f9a57
| 111,787
|
py
|
Python
|
hermes_fix/message_lib/FIX_4_3/fix_messages.py
|
yabov/hermes_fix
|
0a5e89fd15903a7ee0929e82b39879362e2e1008
|
[
"Apache-2.0"
] | 2
|
2020-02-20T15:00:35.000Z
|
2020-02-21T19:27:53.000Z
|
hermes_fix/message_lib/FIX_4_3/fix_messages.py
|
yabov/hermes_fix
|
0a5e89fd15903a7ee0929e82b39879362e2e1008
|
[
"Apache-2.0"
] | 3
|
2020-02-21T03:25:35.000Z
|
2020-02-21T18:37:42.000Z
|
hermes_fix/message_lib/FIX_4_3/fix_messages.py
|
yabov/hermes_fix
|
0a5e89fd15903a7ee0929e82b39879362e2e1008
|
[
"Apache-2.0"
] | null | null | null |
from ... import fix_message
from . import fields
from . import field_types
BEGINSTRING = 'FIX.4.3'
MESSAGE_TYPES = {}
class Header(fix_message.MessageBase):
def __init__(self):
super().__init__()
register_StandardHeader_component(self)
class Trailer(fix_message.MessageBase):
def __init__(self):
super().__init__()
register_StandardTrailer_component(self)
##############Begin Repeating Groups###############
class NoSecurityAltIDGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.SecurityAltID, False)
self.register_field(fields.SecurityAltIDSource, False)
class NoLegSecurityAltIDGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.LegSecurityAltID, False)
self.register_field(fields.LegSecurityAltIDSource, False)
class NoNestedPartyIDsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.NestedPartyID, False)
self.register_field(fields.NestedPartyIDSource, False)
self.register_field(fields.NestedPartyRole, False)
self.register_field(fields.NestedPartySubID, False)
class NoPartyIDsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.PartyID, False)
self.register_field(fields.PartyIDSource, False)
self.register_field(fields.PartyRole, False)
self.register_field(fields.PartySubID, False)
class NoStipulationsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.StipulationType, False)
self.register_field(fields.StipulationValue, False)
class NoUnderlyingSecurityAltIDGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.UnderlyingSecurityAltID, False)
self.register_field(fields.UnderlyingSecurityAltIDSource, False)
class NoHopsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.HopCompID, False)
self.register_field(fields.HopSendingTime, False)
self.register_field(fields.HopRefID, False)
class NoIOIQualifiersGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.IOIQualifier, False)
class NoRoutingIDsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.RoutingType, False)
self.register_field(fields.RoutingID, False)
class NoContraBrokersGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.ContraBroker, False)
self.register_field(fields.ContraTrader, False)
self.register_field(fields.ContraTradeQty, False)
self.register_field(fields.ContraTradeTime, False)
self.register_field(fields.ContraLegRefID, False)
class NoContAmtsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.ContAmtType, False)
self.register_field(fields.ContAmtValue, False)
self.register_field(fields.ContAmtCurr, False)
class NoLegsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
register_InstrumentLeg_component(self)
self.register_field(fields.LegPositionEffect, False)
self.register_field(fields.LegCoveredOrUncovered, False)
register_NestedParties_component(self)
self.register_field(fields.LegRefID, False)
self.register_field(fields.LegPrice, False)
self.register_field(fields.LegSettlmntTyp, False)
self.register_field(fields.LegFutSettDate, False)
self.register_field(fields.LegLastPx, False)
class NoMsgTypesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.RefMsgType, False)
self.register_field(fields.MsgDirection, False)
class NoRelatedSymGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
register_Instrument_component(self)
class LinesOfTextGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.Text, True)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
class NoAllocsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.AllocAccount, False)
self.register_field(fields.IndividualAllocID, False)
register_NestedParties_component(self)
self.register_field(fields.AllocQty, False)
class NoTradingSessionsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
class NoOrdersGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ListSeqNo, True)
self.register_field(fields.ClOrdLinkID, False)
self.register_field(fields.SettlInstMode, False)
register_Parties_component(self)
self.register_field(fields.TradeOriginationDate, False)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.DayBookingInst, False)
self.register_field(fields.BookingUnit, False)
self.register_field(fields.PreallocMethod, False)
self.register_group(fields.NoAllocs, NoAllocsGroup, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.CashMargin, False)
self.register_field(fields.ClearingFeeIndicator, False)
self.register_field(fields.HandlInst, False)
self.register_field(fields.ExecInst, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.MaxFloor, False)
self.register_field(fields.ExDestination, False)
self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False)
self.register_field(fields.ProcessCode, False)
register_Instrument_component(self)
self.register_field(fields.PrevClosePx, False)
self.register_field(fields.Side, True)
self.register_field(fields.SideValueInd, False)
self.register_field(fields.LocateReqd, False)
self.register_field(fields.TransactTime, False)
register_Stipulations_component(self)
self.register_field(fields.QuantityType, False)
register_OrderQtyData_component(self)
self.register_field(fields.OrdType, False)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.StopPx, False)
register_SpreadOrBenchmarkCurveData_component(self)
register_YieldData_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.SolicitedFlag, False)
self.register_field(fields.IOIid, False)
self.register_field(fields.QuoteID, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.GTBookingInst, False)
register_CommissionData_component(self)
self.register_field(fields.OrderCapacity, False)
self.register_field(fields.OrderRestrictions, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.Rule80A, False)
self.register_field(fields.ForexReq, False)
self.register_field(fields.SettlCurrency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.FutSettDate2, False)
self.register_field(fields.OrderQty2, False)
self.register_field(fields.Price2, False)
self.register_field(fields.PositionEffect, False)
self.register_field(fields.CoveredOrUncovered, False)
self.register_field(fields.MaxShow, False)
self.register_field(fields.PegDifference, False)
self.register_field(fields.DiscretionInst, False)
self.register_field(fields.DiscretionOffset, False)
self.register_field(fields.Designation, False)
self.register_field(fields.AccruedInterestRate, False)
self.register_field(fields.AccruedInterestAmt, False)
self.register_field(fields.NetMoney, False)
class NoExecsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.LastQty, False)
self.register_field(fields.ExecID, False)
self.register_field(fields.SecondaryExecID, False)
self.register_field(fields.LastPx, False)
self.register_field(fields.LastCapacity, False)
class NoMiscFeesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.MiscFeeAmt, False)
self.register_field(fields.MiscFeeCurr, False)
self.register_field(fields.MiscFeeType, False)
class NoMDEntryTypesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.MDEntryType, True)
class NoMDEntriesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.MDEntryType, True)
self.register_field(fields.MDEntryPx, False)
self.register_field(fields.Currency, False)
self.register_field(fields.MDEntrySize, False)
self.register_field(fields.MDEntryDate, False)
self.register_field(fields.MDEntryTime, False)
self.register_field(fields.TickDirection, False)
self.register_field(fields.MDMkt, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.QuoteCondition, False)
self.register_field(fields.TradeCondition, False)
self.register_field(fields.MDEntryOriginator, False)
self.register_field(fields.LocationID, False)
self.register_field(fields.DeskID, False)
self.register_field(fields.OpenCloseSettleFlag, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.ExecInst, False)
self.register_field(fields.SellerDays, False)
self.register_field(fields.OrderID, False)
self.register_field(fields.QuoteEntryID, False)
self.register_field(fields.MDEntryBuyer, False)
self.register_field(fields.MDEntrySeller, False)
self.register_field(fields.NumberOfOrders, False)
self.register_field(fields.MDEntryPositionNo, False)
self.register_field(fields.Scope, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
class NoQuoteEntriesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
register_Instrument_component(self)
class NoQuoteSetsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.QuoteSetID, False)
register_UnderlyingInstrument_component(self)
self.register_field(fields.TotQuoteEntries, False)
self.register_group(fields.NoQuoteEntries, NoQuoteEntriesGroup, False)
class NoBidDescriptorsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.BidDescriptorType, False)
self.register_field(fields.BidDescriptor, False)
self.register_field(fields.SideValueInd, False)
self.register_field(fields.LiquidityValue, False)
self.register_field(fields.LiquidityNumSecurities, False)
self.register_field(fields.LiquidityPctLow, False)
self.register_field(fields.LiquidityPctHigh, False)
self.register_field(fields.EFPTrackingError, False)
self.register_field(fields.FairValue, False)
self.register_field(fields.OutsideIndexPct, False)
self.register_field(fields.ValueOfFutures, False)
class NoBidComponentsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.ListID, False)
self.register_field(fields.Side, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.NetGrossInd, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.Account, False)
class NoStrikesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
register_Instrument_component(self)
self.register_field(fields.PrevClosePx, False)
self.register_field(fields.ClOrdID, False)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.Side, False)
self.register_field(fields.Price, True)
self.register_field(fields.Currency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
class NoRegistDtlsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.RegistDetls, False)
self.register_field(fields.RegistEmail, False)
self.register_field(fields.MailingDtls, False)
self.register_field(fields.MailingInst, False)
register_NestedParties_component(self)
self.register_field(fields.OwnerType, False)
self.register_field(fields.DateOfBirth, False)
self.register_field(fields.InvestorCountryOfResidence, False)
class NoDistribInstsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.DistribPaymentMethod, False)
self.register_field(fields.DistribPercentage, False)
self.register_field(fields.CashDistribCurr, False)
self.register_field(fields.CashDistribAgentName, False)
self.register_field(fields.CashDistribAgentCode, False)
self.register_field(fields.CashDistribAgentAcctNumber, False)
self.register_field(fields.CashDistribPayRef, False)
class NoAffectedOrdersGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.OrigClOrdID, False)
self.register_field(fields.AffectedOrderID, False)
self.register_field(fields.AffectedSecondaryOrderID, False)
class NoSidesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.Side, True)
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ClOrdLinkID, False)
register_Parties_component(self)
self.register_field(fields.TradeOriginationDate, False)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.DayBookingInst, False)
self.register_field(fields.BookingUnit, False)
self.register_field(fields.PreallocMethod, False)
self.register_group(fields.NoAllocs, NoAllocsGroup, False)
self.register_field(fields.QuantityType, False)
register_OrderQtyData_component(self)
register_CommissionData_component(self)
self.register_field(fields.OrderCapacity, False)
self.register_field(fields.OrderRestrictions, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.ForexReq, False)
self.register_field(fields.SettlCurrency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.PositionEffect, False)
self.register_field(fields.CoveredOrUncovered, False)
self.register_field(fields.CashMargin, False)
self.register_field(fields.ClearingFeeIndicator, False)
self.register_field(fields.SolicitedFlag, False)
self.register_field(fields.SideComplianceID, False)
class NoSecurityTypesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.SecurityType, False)
self.register_field(fields.Product, False)
self.register_field(fields.CFICode, False)
class NoDatesGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.TradeDate, False)
self.register_field(fields.TransactTime, False)
class NoClearingInstructionsGroup(fix_message.FIXGroup):
def __init__(self, value = None):
super().__init__(value)
self.register_field(fields.ClearingInstruction, False)
##############End Repeating Groups###############
##############Begin Componenets###############
def register_CommissionData_component(self):
self.register_field(fields.Commission, False)
self.register_field(fields.CommType, False)
self.register_field(fields.CommCurrency, False)
self.register_field(fields.FundRenewWaiv, False)
def register_Instrument_component(self):
self.register_field(fields.Symbol, False)
self.register_field(fields.SymbolSfx, False)
self.register_field(fields.SecurityID, False)
self.register_field(fields.SecurityIDSource, False)
self.register_group(fields.NoSecurityAltID, NoSecurityAltIDGroup, False)
self.register_field(fields.Product, False)
self.register_field(fields.CFICode, False)
self.register_field(fields.SecurityType, False)
self.register_field(fields.MaturityMonthYear, False)
self.register_field(fields.MaturityDate, False)
self.register_field(fields.CouponPaymentDate, False)
self.register_field(fields.IssueDate, False)
self.register_field(fields.RepoCollateralSecurityType, False)
self.register_field(fields.RepurchaseTerm, False)
self.register_field(fields.RepurchaseRate, False)
self.register_field(fields.Factor, False)
self.register_field(fields.CreditRating, False)
self.register_field(fields.InstrRegistry, False)
self.register_field(fields.CountryOfIssue, False)
self.register_field(fields.StateOrProvinceOfIssue, False)
self.register_field(fields.LocaleOfIssue, False)
self.register_field(fields.RedemptionDate, False)
self.register_field(fields.StrikePrice, False)
self.register_field(fields.OptAttribute, False)
self.register_field(fields.ContractMultiplier, False)
self.register_field(fields.CouponRate, False)
self.register_field(fields.SecurityExchange, False)
self.register_field(fields.Issuer, False)
self.register_field(fields.EncodedIssuerLen, False)
self.register_field(fields.EncodedIssuer, False)
self.register_field(fields.SecurityDesc, False)
self.register_field(fields.EncodedSecurityDescLen, False)
self.register_field(fields.EncodedSecurityDesc, False)
def register_InstrumentLeg_component(self):
self.register_field(fields.LegSymbol, False)
self.register_field(fields.LegSymbolSfx, False)
self.register_field(fields.LegSecurityID, False)
self.register_field(fields.LegSecurityIDSource, False)
self.register_group(fields.NoLegSecurityAltID, NoLegSecurityAltIDGroup, False)
self.register_field(fields.LegProduct, False)
self.register_field(fields.LegCFICode, False)
self.register_field(fields.LegSecurityType, False)
self.register_field(fields.LegMaturityMonthYear, False)
self.register_field(fields.LegMaturityDate, False)
self.register_field(fields.LegCouponPaymentDate, False)
self.register_field(fields.LegIssueDate, False)
self.register_field(fields.LegRepoCollateralSecurityType, False)
self.register_field(fields.LegRepurchaseTerm, False)
self.register_field(fields.LegRepurchaseRate, False)
self.register_field(fields.LegFactor, False)
self.register_field(fields.LegCreditRating, False)
self.register_field(fields.LegInstrRegistry, False)
self.register_field(fields.LegCountryOfIssue, False)
self.register_field(fields.LegStateOrProvinceOfIssue, False)
self.register_field(fields.LegLocaleOfIssue, False)
self.register_field(fields.LegRedemptionDate, False)
self.register_field(fields.LegStrikePrice, False)
self.register_field(fields.LegOptAttribute, False)
self.register_field(fields.LegContractMultiplier, False)
self.register_field(fields.LegCouponRate, False)
self.register_field(fields.LegSecurityExchange, False)
self.register_field(fields.LegIssuer, False)
self.register_field(fields.EncodedLegIssuerLen, False)
self.register_field(fields.EncodedLegIssuer, False)
self.register_field(fields.LegSecurityDesc, False)
self.register_field(fields.EncodedLegSecurityDescLen, False)
self.register_field(fields.EncodedLegSecurityDesc, False)
self.register_field(fields.LegRatioQty, False)
self.register_field(fields.LegSide, False)
def register_NestedParties_component(self):
self.register_group(fields.NoNestedPartyIDs, NoNestedPartyIDsGroup, False)
def register_OrderQtyData_component(self):
self.register_field(fields.OrderQty, False)
self.register_field(fields.CashOrderQty, False)
self.register_field(fields.OrderPercent, False)
self.register_field(fields.RoundingDirection, False)
self.register_field(fields.RoundingModulus, False)
def register_Parties_component(self):
self.register_group(fields.NoPartyIDs, NoPartyIDsGroup, False)
def register_SpreadOrBenchmarkCurveData_component(self):
self.register_field(fields.Spread, False)
self.register_field(fields.BenchmarkCurveCurrency, False)
self.register_field(fields.BenchmarkCurveName, False)
self.register_field(fields.BenchmarkCurvePoint, False)
def register_Stipulations_component(self):
self.register_group(fields.NoStipulations, NoStipulationsGroup, False)
def register_UnderlyingInstrument_component(self):
self.register_field(fields.UnderlyingSymbol, False)
self.register_field(fields.UnderlyingSymbolSfx, False)
self.register_field(fields.UnderlyingSecurityID, False)
self.register_field(fields.UnderlyingSecurityIDSource, False)
self.register_group(fields.NoUnderlyingSecurityAltID, NoUnderlyingSecurityAltIDGroup, False)
self.register_field(fields.UnderlyingProduct, False)
self.register_field(fields.UnderlyingCFICode, False)
self.register_field(fields.UnderlyingSecurityType, False)
self.register_field(fields.UnderlyingMaturityMonthYear, False)
self.register_field(fields.UnderlyingMaturityDate, False)
self.register_field(fields.UnderlyingPutOrCall, False)
self.register_field(fields.UnderlyingCouponPaymentDate, False)
self.register_field(fields.UnderlyingIssueDate, False)
self.register_field(fields.UnderlyingRepoCollateralSecurityType, False)
self.register_field(fields.UnderlyingRepurchaseTerm, False)
self.register_field(fields.UnderlyingRepurchaseRate, False)
self.register_field(fields.UnderlyingFactor, False)
self.register_field(fields.UnderlyingCreditRating, False)
self.register_field(fields.UnderlyingInstrRegistry, False)
self.register_field(fields.UnderlyingCountryOfIssue, False)
self.register_field(fields.UnderlyingStateOrProvinceOfIssue, False)
self.register_field(fields.UnderlyingLocaleOfIssue, False)
self.register_field(fields.UnderlyingRedemptionDate, False)
self.register_field(fields.UnderlyingStrikePrice, False)
self.register_field(fields.UnderlyingOptAttribute, False)
self.register_field(fields.UnderlyingContractMultiplier, False)
self.register_field(fields.UnderlyingCouponRate, False)
self.register_field(fields.UnderlyingSecurityExchange, False)
self.register_field(fields.UnderlyingIssuer, False)
self.register_field(fields.EncodedUnderlyingIssuerLen, False)
self.register_field(fields.EncodedUnderlyingIssuer, False)
self.register_field(fields.UnderlyingSecurityDesc, False)
self.register_field(fields.EncodedUnderlyingSecurityDescLen, False)
self.register_field(fields.EncodedUnderlyingSecurityDesc, False)
def register_YieldData_component(self):
self.register_field(fields.YieldType, False)
self.register_field(fields.Yield, False)
def register_StandardHeader_component(self):
self.register_field(fields.BeginString, True)
self.register_field(fields.BodyLength, True)
self.register_field(fields.MsgType, True)
self.register_field(fields.SenderCompID, True)
self.register_field(fields.TargetCompID, True)
self.register_field(fields.OnBehalfOfCompID, False)
self.register_field(fields.DeliverToCompID, False)
self.register_field(fields.SecureDataLen, False)
self.register_field(fields.SecureData, False)
self.register_field(fields.MsgSeqNum, True)
self.register_field(fields.SenderSubID, False)
self.register_field(fields.SenderLocationID, False)
self.register_field(fields.TargetSubID, False)
self.register_field(fields.TargetLocationID, False)
self.register_field(fields.OnBehalfOfSubID, False)
self.register_field(fields.OnBehalfOfLocationID, False)
self.register_field(fields.DeliverToSubID, False)
self.register_field(fields.DeliverToLocationID, False)
self.register_field(fields.PossDupFlag, False)
self.register_field(fields.PossResend, False)
self.register_field(fields.SendingTime, True)
self.register_field(fields.OrigSendingTime, False)
self.register_field(fields.XmlDataLen, False)
self.register_field(fields.XmlData, False)
self.register_field(fields.MessageEncoding, False)
self.register_field(fields.LastMsgSeqNumProcessed, False)
self.register_field(fields.OnBehalfOfSendingTime, False)
self.register_group(fields.NoHops, NoHopsGroup, False)
def register_StandardTrailer_component(self):
self.register_field(fields.SignatureLength, False)
self.register_field(fields.Signature, False)
self.register_field(fields.CheckSum, True)
##############End Componenets###############
class Heartbeat(fix_message.MessageBase):
_msgtype = '0'
_msgcat = 'admin'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.TestReqID, False)
MESSAGE_TYPES['0'] = Heartbeat
class TestRequest(fix_message.MessageBase):
_msgtype = '1'
_msgcat = 'admin'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.TestReqID, True)
MESSAGE_TYPES['1'] = TestRequest
class ResendRequest(fix_message.MessageBase):
_msgtype = '2'
_msgcat = 'admin'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.BeginSeqNo, True)
self.register_field(fields.EndSeqNo, True)
MESSAGE_TYPES['2'] = ResendRequest
class Reject(fix_message.MessageBase):
_msgtype = '3'
_msgcat = 'admin'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.RefSeqNum, True)
self.register_field(fields.RefTagID, False)
self.register_field(fields.RefMsgType, False)
self.register_field(fields.SessionRejectReason, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['3'] = Reject
class SequenceReset(fix_message.MessageBase):
_msgtype = '4'
_msgcat = 'admin'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.GapFillFlag, False)
self.register_field(fields.NewSeqNo, True)
MESSAGE_TYPES['4'] = SequenceReset
class Logout(fix_message.MessageBase):
_msgtype = '5'
_msgcat = 'admin'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['5'] = Logout
class IOI(fix_message.MessageBase):
_msgtype = '6'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.IOIid, True)
self.register_field(fields.IOITransType, True)
self.register_field(fields.IOIRefID, False)
register_Instrument_component(self)
self.register_field(fields.Side, True)
self.register_field(fields.QuantityType, False)
self.register_field(fields.IOIQty, True)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.Currency, False)
self.register_field(fields.ValidUntilTime, False)
self.register_field(fields.IOIQltyInd, False)
self.register_field(fields.IOINaturalFlag, False)
self.register_group(fields.NoIOIQualifiers, NoIOIQualifiersGroup, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.URLLink, False)
self.register_group(fields.NoRoutingIDs, NoRoutingIDsGroup, False)
register_SpreadOrBenchmarkCurveData_component(self)
self.register_field(fields.Benchmark, False)
MESSAGE_TYPES['6'] = IOI
class Advertisement(fix_message.MessageBase):
_msgtype = '7'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.AdvId, True)
self.register_field(fields.AdvTransType, True)
self.register_field(fields.AdvRefID, False)
register_Instrument_component(self)
self.register_field(fields.AdvSide, True)
self.register_field(fields.Quantity, True)
self.register_field(fields.Price, False)
self.register_field(fields.Currency, False)
self.register_field(fields.TradeDate, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.URLLink, False)
self.register_field(fields.LastMkt, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
MESSAGE_TYPES['7'] = Advertisement
class ExecutionReport(fix_message.MessageBase):
_msgtype = '8'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrderID, True)
self.register_field(fields.SecondaryOrderID, False)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.SecondaryExecID, False)
self.register_field(fields.ClOrdID, False)
self.register_field(fields.OrigClOrdID, False)
self.register_field(fields.ClOrdLinkID, False)
register_Parties_component(self)
self.register_field(fields.TradeOriginationDate, False)
self.register_group(fields.NoContraBrokers, NoContraBrokersGroup, False)
self.register_field(fields.ListID, False)
self.register_field(fields.CrossID, False)
self.register_field(fields.OrigCrossID, False)
self.register_field(fields.CrossType, False)
self.register_field(fields.ExecID, True)
self.register_field(fields.ExecRefID, False)
self.register_field(fields.ExecType, True)
self.register_field(fields.OrdStatus, True)
self.register_field(fields.WorkingIndicator, False)
self.register_field(fields.OrdRejReason, False)
self.register_field(fields.ExecRestatementReason, False)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.DayBookingInst, False)
self.register_field(fields.BookingUnit, False)
self.register_field(fields.PreallocMethod, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.CashMargin, False)
self.register_field(fields.ClearingFeeIndicator, False)
register_Instrument_component(self)
self.register_field(fields.Side, True)
register_Stipulations_component(self)
self.register_field(fields.QuantityType, False)
register_OrderQtyData_component(self)
self.register_field(fields.OrdType, False)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.StopPx, False)
self.register_field(fields.PegDifference, False)
self.register_field(fields.DiscretionInst, False)
self.register_field(fields.DiscretionOffset, False)
self.register_field(fields.Currency, False)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.SolicitedFlag, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.ExecInst, False)
self.register_field(fields.OrderCapacity, False)
self.register_field(fields.OrderRestrictions, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.Rule80A, False)
self.register_field(fields.LastQty, False)
self.register_field(fields.UnderlyingLastQty, False)
self.register_field(fields.LastPx, False)
self.register_field(fields.UnderlyingLastPx, False)
self.register_field(fields.LastSpotRate, False)
self.register_field(fields.LastForwardPoints, False)
self.register_field(fields.LastMkt, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.LastCapacity, False)
self.register_field(fields.LeavesQty, True)
self.register_field(fields.CumQty, True)
self.register_field(fields.AvgPx, True)
self.register_field(fields.DayOrderQty, False)
self.register_field(fields.DayCumQty, False)
self.register_field(fields.DayAvgPx, False)
self.register_field(fields.GTBookingInst, False)
self.register_field(fields.TradeDate, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.ReportToExch, False)
register_CommissionData_component(self)
register_SpreadOrBenchmarkCurveData_component(self)
register_YieldData_component(self)
self.register_field(fields.GrossTradeAmt, False)
self.register_field(fields.NumDaysInterest, False)
self.register_field(fields.ExDate, False)
self.register_field(fields.AccruedInterestRate, False)
self.register_field(fields.AccruedInterestAmt, False)
self.register_field(fields.TradedFlatSwitch, False)
self.register_field(fields.BasisFeatureDate, False)
self.register_field(fields.BasisFeaturePrice, False)
self.register_field(fields.Concession, False)
self.register_field(fields.TotalTakedown, False)
self.register_field(fields.NetMoney, False)
self.register_field(fields.SettlCurrAmt, False)
self.register_field(fields.SettlCurrency, False)
self.register_field(fields.SettlCurrFxRate, False)
self.register_field(fields.SettlCurrFxRateCalc, False)
self.register_field(fields.HandlInst, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.MaxFloor, False)
self.register_field(fields.PositionEffect, False)
self.register_field(fields.MaxShow, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.FutSettDate2, False)
self.register_field(fields.OrderQty2, False)
self.register_field(fields.LastForwardPoints2, False)
self.register_field(fields.MultiLegReportingType, False)
self.register_field(fields.CancellationRights, False)
self.register_field(fields.MoneyLaunderingStatus, False)
self.register_field(fields.RegistID, False)
self.register_field(fields.Designation, False)
self.register_field(fields.TransBkdTime, False)
self.register_field(fields.ExecValuationPoint, False)
self.register_field(fields.ExecPriceType, False)
self.register_field(fields.ExecPriceAdjustment, False)
self.register_field(fields.PriorityIndicator, False)
self.register_field(fields.PriceImprovement, False)
self.register_group(fields.NoContAmts, NoContAmtsGroup, False)
self.register_group(fields.NoLegs, NoLegsGroup, False)
MESSAGE_TYPES['8'] = ExecutionReport
class OrderCancelReject(fix_message.MessageBase):
_msgtype = '9'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrderID, True)
self.register_field(fields.SecondaryOrderID, False)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ClOrdID, True)
self.register_field(fields.ClOrdLinkID, False)
self.register_field(fields.OrigClOrdID, True)
self.register_field(fields.OrdStatus, True)
self.register_field(fields.WorkingIndicator, False)
self.register_field(fields.OrigOrdModTime, False)
self.register_field(fields.ListID, False)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.TradeOriginationDate, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.CxlRejResponseTo, True)
self.register_field(fields.CxlRejReason, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['9'] = OrderCancelReject
class Logon(fix_message.MessageBase):
_msgtype = 'A'
_msgcat = 'admin'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.EncryptMethod, True)
self.register_field(fields.HeartBtInt, True)
self.register_field(fields.RawDataLength, False)
self.register_field(fields.RawData, False)
self.register_field(fields.ResetSeqNumFlag, False)
self.register_field(fields.MaxMessageSize, False)
self.register_group(fields.NoMsgTypes, NoMsgTypesGroup, False)
self.register_field(fields.TestMessageIndicator, False)
self.register_field(fields.Username, False)
self.register_field(fields.Password, False)
MESSAGE_TYPES['A'] = Logon
class News(fix_message.MessageBase):
_msgtype = 'B'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrigTime, False)
self.register_field(fields.Urgency, False)
self.register_field(fields.Headline, True)
self.register_field(fields.EncodedHeadlineLen, False)
self.register_field(fields.EncodedHeadline, False)
self.register_group(fields.NoRoutingIDs, NoRoutingIDsGroup, False)
self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False)
self.register_group(fields.LinesOfText, LinesOfTextGroup, True)
self.register_field(fields.URLLink, False)
self.register_field(fields.RawDataLength, False)
self.register_field(fields.RawData, False)
MESSAGE_TYPES['B'] = News
class Email(fix_message.MessageBase):
_msgtype = 'C'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.EmailThreadID, True)
self.register_field(fields.EmailType, True)
self.register_field(fields.OrigTime, False)
self.register_field(fields.Subject, True)
self.register_field(fields.EncodedSubjectLen, False)
self.register_field(fields.EncodedSubject, False)
self.register_group(fields.NoRoutingIDs, NoRoutingIDsGroup, False)
self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False)
self.register_field(fields.OrderID, False)
self.register_field(fields.ClOrdID, False)
self.register_group(fields.LinesOfText, LinesOfTextGroup, True)
self.register_field(fields.RawDataLength, False)
self.register_field(fields.RawData, False)
MESSAGE_TYPES['C'] = Email
class NewOrderSingle(fix_message.MessageBase):
_msgtype = 'D'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ClOrdLinkID, False)
register_Parties_component(self)
self.register_field(fields.TradeOriginationDate, False)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.DayBookingInst, False)
self.register_field(fields.BookingUnit, False)
self.register_field(fields.PreallocMethod, False)
self.register_group(fields.NoAllocs, NoAllocsGroup, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.CashMargin, False)
self.register_field(fields.ClearingFeeIndicator, False)
self.register_field(fields.HandlInst, True)
self.register_field(fields.ExecInst, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.MaxFloor, False)
self.register_field(fields.ExDestination, False)
self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False)
self.register_field(fields.ProcessCode, False)
register_Instrument_component(self)
self.register_field(fields.PrevClosePx, False)
self.register_field(fields.Side, True)
self.register_field(fields.LocateReqd, False)
self.register_field(fields.TransactTime, True)
register_Stipulations_component(self)
self.register_field(fields.QuantityType, False)
register_OrderQtyData_component(self)
self.register_field(fields.OrdType, True)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.StopPx, False)
register_SpreadOrBenchmarkCurveData_component(self)
register_YieldData_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.SolicitedFlag, False)
self.register_field(fields.IOIid, False)
self.register_field(fields.QuoteID, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.GTBookingInst, False)
register_CommissionData_component(self)
self.register_field(fields.OrderCapacity, False)
self.register_field(fields.OrderRestrictions, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.Rule80A, False)
self.register_field(fields.ForexReq, False)
self.register_field(fields.SettlCurrency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.FutSettDate2, False)
self.register_field(fields.OrderQty2, False)
self.register_field(fields.Price2, False)
self.register_field(fields.PositionEffect, False)
self.register_field(fields.CoveredOrUncovered, False)
self.register_field(fields.MaxShow, False)
self.register_field(fields.PegDifference, False)
self.register_field(fields.DiscretionInst, False)
self.register_field(fields.DiscretionOffset, False)
self.register_field(fields.CancellationRights, False)
self.register_field(fields.MoneyLaunderingStatus, False)
self.register_field(fields.RegistID, False)
self.register_field(fields.Designation, False)
self.register_field(fields.AccruedInterestRate, False)
self.register_field(fields.AccruedInterestAmt, False)
self.register_field(fields.NetMoney, False)
MESSAGE_TYPES['D'] = NewOrderSingle
class NewOrderList(fix_message.MessageBase):
_msgtype = 'E'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ListID, True)
self.register_field(fields.BidID, False)
self.register_field(fields.ClientBidID, False)
self.register_field(fields.ProgRptReqs, False)
self.register_field(fields.BidType, True)
self.register_field(fields.ProgPeriodInterval, False)
self.register_field(fields.CancellationRights, False)
self.register_field(fields.MoneyLaunderingStatus, False)
self.register_field(fields.RegistID, False)
self.register_field(fields.ListExecInstType, False)
self.register_field(fields.ListExecInst, False)
self.register_field(fields.EncodedListExecInstLen, False)
self.register_field(fields.EncodedListExecInst, False)
self.register_field(fields.TotNoOrders, True)
self.register_group(fields.NoOrders, NoOrdersGroup, True)
MESSAGE_TYPES['E'] = NewOrderList
class OrderCancelRequest(fix_message.MessageBase):
_msgtype = 'F'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrigClOrdID, True)
self.register_field(fields.OrderID, False)
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ClOrdLinkID, False)
self.register_field(fields.ListID, False)
self.register_field(fields.OrigOrdModTime, False)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
register_Parties_component(self)
register_Instrument_component(self)
self.register_field(fields.Side, True)
self.register_field(fields.TransactTime, True)
register_OrderQtyData_component(self)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['F'] = OrderCancelRequest
class OrderCancelReplaceRequest(fix_message.MessageBase):
_msgtype = 'G'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrderID, False)
register_Parties_component(self)
self.register_field(fields.TradeOriginationDate, False)
self.register_field(fields.OrigClOrdID, True)
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ClOrdLinkID, False)
self.register_field(fields.ListID, False)
self.register_field(fields.OrigOrdModTime, False)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.DayBookingInst, False)
self.register_field(fields.BookingUnit, False)
self.register_field(fields.PreallocMethod, False)
self.register_group(fields.NoAllocs, NoAllocsGroup, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.CashMargin, False)
self.register_field(fields.ClearingFeeIndicator, False)
self.register_field(fields.HandlInst, True)
self.register_field(fields.ExecInst, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.MaxFloor, False)
self.register_field(fields.ExDestination, False)
self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False)
register_Instrument_component(self)
self.register_field(fields.Side, True)
self.register_field(fields.TransactTime, True)
self.register_field(fields.QuantityType, False)
register_OrderQtyData_component(self)
self.register_field(fields.OrdType, True)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.StopPx, False)
register_SpreadOrBenchmarkCurveData_component(self)
register_YieldData_component(self)
self.register_field(fields.PegDifference, False)
self.register_field(fields.DiscretionInst, False)
self.register_field(fields.DiscretionOffset, False)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.SolicitedFlag, False)
self.register_field(fields.Currency, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.GTBookingInst, False)
register_CommissionData_component(self)
self.register_field(fields.OrderCapacity, False)
self.register_field(fields.OrderRestrictions, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.Rule80A, False)
self.register_field(fields.ForexReq, False)
self.register_field(fields.SettlCurrency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.FutSettDate2, False)
self.register_field(fields.OrderQty2, False)
self.register_field(fields.Price2, False)
self.register_field(fields.PositionEffect, False)
self.register_field(fields.CoveredOrUncovered, False)
self.register_field(fields.MaxShow, False)
self.register_field(fields.LocateReqd, False)
self.register_field(fields.CancellationRights, False)
self.register_field(fields.MoneyLaunderingStatus, False)
self.register_field(fields.RegistID, False)
self.register_field(fields.Designation, False)
self.register_field(fields.AccruedInterestRate, False)
self.register_field(fields.AccruedInterestAmt, False)
self.register_field(fields.NetMoney, False)
MESSAGE_TYPES['G'] = OrderCancelReplaceRequest
class OrderStatusRequest(fix_message.MessageBase):
_msgtype = 'H'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrderID, False)
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ClOrdLinkID, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
register_Instrument_component(self)
self.register_field(fields.Side, True)
MESSAGE_TYPES['H'] = OrderStatusRequest
class Allocation(fix_message.MessageBase):
_msgtype = 'J'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.AllocID, True)
self.register_field(fields.AllocTransType, True)
self.register_field(fields.AllocType, True)
self.register_field(fields.RefAllocID, False)
self.register_field(fields.AllocLinkID, False)
self.register_field(fields.AllocLinkType, False)
self.register_field(fields.BookingRefID, False)
self.register_group(fields.NoOrders, NoOrdersGroup, False)
self.register_group(fields.NoExecs, NoExecsGroup, False)
self.register_field(fields.Side, True)
register_Instrument_component(self)
self.register_field(fields.Quantity, True)
self.register_field(fields.LastMkt, False)
self.register_field(fields.TradeOriginationDate, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.PriceType, False)
self.register_field(fields.AvgPx, True)
self.register_field(fields.Currency, False)
self.register_field(fields.AvgPrxPrecision, False)
register_Parties_component(self)
self.register_field(fields.TradeDate, True)
self.register_field(fields.TransactTime, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.GrossTradeAmt, False)
self.register_field(fields.Concession, False)
self.register_field(fields.TotalTakedown, False)
self.register_field(fields.NetMoney, False)
self.register_field(fields.PositionEffect, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.NumDaysInterest, False)
self.register_field(fields.AccruedInterestRate, False)
self.register_field(fields.TotalAccruedInterestAmt, False)
self.register_field(fields.LegalConfirm, False)
self.register_group(fields.NoAllocs, NoAllocsGroup, False)
MESSAGE_TYPES['J'] = Allocation
class ListCancelRequest(fix_message.MessageBase):
_msgtype = 'K'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ListID, True)
self.register_field(fields.TransactTime, True)
self.register_field(fields.TradeOriginationDate, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['K'] = ListCancelRequest
class ListExecute(fix_message.MessageBase):
_msgtype = 'L'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ListID, True)
self.register_field(fields.ClientBidID, False)
self.register_field(fields.BidID, False)
self.register_field(fields.TransactTime, True)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['L'] = ListExecute
class ListStatusRequest(fix_message.MessageBase):
_msgtype = 'M'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ListID, True)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['M'] = ListStatusRequest
class ListStatus(fix_message.MessageBase):
_msgtype = 'N'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ListID, True)
self.register_field(fields.ListStatusType, True)
self.register_field(fields.NoRpts, True)
self.register_field(fields.ListOrderStatus, True)
self.register_field(fields.RptSeq, True)
self.register_field(fields.ListStatusText, False)
self.register_field(fields.EncodedListStatusTextLen, False)
self.register_field(fields.EncodedListStatusText, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.TotNoOrders, True)
self.register_group(fields.NoOrders, NoOrdersGroup, True)
MESSAGE_TYPES['N'] = ListStatus
class AllocationAck(fix_message.MessageBase):
_msgtype = 'P'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
register_Parties_component(self)
self.register_field(fields.AllocID, True)
self.register_field(fields.TradeDate, True)
self.register_field(fields.TransactTime, False)
self.register_field(fields.AllocStatus, True)
self.register_field(fields.AllocRejCode, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.LegalConfirm, False)
MESSAGE_TYPES['P'] = AllocationAck
class DontKnowTrade(fix_message.MessageBase):
_msgtype = 'Q'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrderID, True)
self.register_field(fields.ExecID, True)
self.register_field(fields.DKReason, True)
register_Instrument_component(self)
self.register_field(fields.Side, True)
register_OrderQtyData_component(self)
self.register_field(fields.LastQty, False)
self.register_field(fields.LastPx, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['Q'] = DontKnowTrade
class QuoteRequest(fix_message.MessageBase):
_msgtype = 'R'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.QuoteReqID, True)
self.register_field(fields.RFQReqID, False)
self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, True)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['R'] = QuoteRequest
class Quote(fix_message.MessageBase):
_msgtype = 'S'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.QuoteReqID, False)
self.register_field(fields.QuoteID, True)
self.register_field(fields.QuoteType, False)
self.register_field(fields.QuoteResponseLevel, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
register_Instrument_component(self)
self.register_field(fields.BidPx, False)
self.register_field(fields.OfferPx, False)
self.register_field(fields.MktBidPx, False)
self.register_field(fields.MktOfferPx, False)
self.register_field(fields.MinBidSize, False)
self.register_field(fields.BidSize, False)
self.register_field(fields.MinOfferSize, False)
self.register_field(fields.OfferSize, False)
self.register_field(fields.ValidUntilTime, False)
self.register_field(fields.BidSpotRate, False)
self.register_field(fields.OfferSpotRate, False)
self.register_field(fields.BidForwardPoints, False)
self.register_field(fields.OfferForwardPoints, False)
self.register_field(fields.MidPx, False)
self.register_field(fields.BidYield, False)
self.register_field(fields.MidYield, False)
self.register_field(fields.OfferYield, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.OrdType, False)
self.register_field(fields.FutSettDate2, False)
self.register_field(fields.OrderQty2, False)
self.register_field(fields.BidForwardPoints2, False)
self.register_field(fields.OfferForwardPoints2, False)
self.register_field(fields.Currency, False)
self.register_field(fields.SettlCurrBidFxRate, False)
self.register_field(fields.SettlCurrOfferFxRate, False)
self.register_field(fields.SettlCurrFxRateCalc, False)
self.register_field(fields.Commission, False)
self.register_field(fields.CommType, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.ExDestination, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['S'] = Quote
class SettlementInstructions(fix_message.MessageBase):
_msgtype = 'T'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SettlInstID, True)
self.register_field(fields.SettlInstTransType, True)
self.register_field(fields.SettlInstRefID, True)
self.register_field(fields.SettlInstMode, True)
self.register_field(fields.SettlInstSource, True)
self.register_field(fields.AllocAccount, True)
self.register_field(fields.IndividualAllocID, False)
self.register_field(fields.ClOrdID, False)
self.register_field(fields.TradeDate, False)
self.register_field(fields.AllocID, False)
self.register_field(fields.LastMkt, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.Side, False)
self.register_field(fields.SecurityType, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.TransactTime, True)
register_Parties_component(self)
self.register_field(fields.StandInstDbType, False)
self.register_field(fields.StandInstDbName, False)
self.register_field(fields.StandInstDbID, False)
self.register_field(fields.SettlDeliveryType, False)
self.register_field(fields.SettlDepositoryCode, False)
self.register_field(fields.SettlBrkrCode, False)
self.register_field(fields.SettlInstCode, False)
self.register_field(fields.SecuritySettlAgentName, False)
self.register_field(fields.SecuritySettlAgentCode, False)
self.register_field(fields.SecuritySettlAgentAcctNum, False)
self.register_field(fields.SecuritySettlAgentAcctName, False)
self.register_field(fields.SecuritySettlAgentContactName, False)
self.register_field(fields.SecuritySettlAgentContactPhone, False)
self.register_field(fields.CashSettlAgentName, False)
self.register_field(fields.CashSettlAgentCode, False)
self.register_field(fields.CashSettlAgentAcctNum, False)
self.register_field(fields.CashSettlAgentAcctName, False)
self.register_field(fields.CashSettlAgentContactName, False)
self.register_field(fields.CashSettlAgentContactPhone, False)
self.register_field(fields.PaymentMethod, False)
self.register_field(fields.PaymentRef, False)
self.register_field(fields.CardHolderName, False)
self.register_field(fields.CardNumber, False)
self.register_field(fields.CardStartDate, False)
self.register_field(fields.CardExpDate, False)
self.register_field(fields.CardIssNo, False)
self.register_field(fields.PaymentDate, False)
self.register_field(fields.PaymentRemitterID, False)
MESSAGE_TYPES['T'] = SettlementInstructions
class MarketDataRequest(fix_message.MessageBase):
_msgtype = 'V'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.MDReqID, True)
self.register_field(fields.SubscriptionRequestType, True)
self.register_field(fields.MarketDepth, True)
self.register_field(fields.MDUpdateType, False)
self.register_field(fields.AggregatedBook, False)
self.register_field(fields.OpenCloseSettleFlag, False)
self.register_field(fields.Scope, False)
self.register_field(fields.MDImplicitDelete, False)
self.register_group(fields.NoMDEntryTypes, NoMDEntryTypesGroup, True)
self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, True)
self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False)
MESSAGE_TYPES['V'] = MarketDataRequest
class MarketDataSnapshotFullRefresh(fix_message.MessageBase):
_msgtype = 'W'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.MDReqID, False)
register_Instrument_component(self)
self.register_field(fields.FinancialStatus, False)
self.register_field(fields.CorporateAction, False)
self.register_field(fields.TotalVolumeTraded, False)
self.register_field(fields.TotalVolumeTradedDate, False)
self.register_field(fields.TotalVolumeTradedTime, False)
self.register_field(fields.NetChgPrevDay, False)
self.register_group(fields.NoMDEntries, NoMDEntriesGroup, True)
MESSAGE_TYPES['W'] = MarketDataSnapshotFullRefresh
class MarketDataIncrementalRefresh(fix_message.MessageBase):
_msgtype = 'X'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.MDReqID, False)
self.register_group(fields.NoMDEntries, NoMDEntriesGroup, True)
MESSAGE_TYPES['X'] = MarketDataIncrementalRefresh
class MarketDataRequestReject(fix_message.MessageBase):
_msgtype = 'Y'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.MDReqID, True)
self.register_field(fields.MDReqRejReason, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['Y'] = MarketDataRequestReject
class QuoteCancel(fix_message.MessageBase):
_msgtype = 'Z'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.QuoteReqID, False)
self.register_field(fields.QuoteID, True)
self.register_field(fields.QuoteCancelType, True)
self.register_field(fields.QuoteResponseLevel, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_group(fields.NoQuoteEntries, NoQuoteEntriesGroup, False)
MESSAGE_TYPES['Z'] = QuoteCancel
class QuoteStatusRequest(fix_message.MessageBase):
_msgtype = 'a'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.QuoteStatusReqID, False)
self.register_field(fields.QuoteID, False)
register_Instrument_component(self)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.SubscriptionRequestType, False)
MESSAGE_TYPES['a'] = QuoteStatusRequest
class MassQuoteAcknowledgement(fix_message.MessageBase):
_msgtype = 'b'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.QuoteReqID, False)
self.register_field(fields.QuoteID, False)
self.register_field(fields.QuoteStatus, True)
self.register_field(fields.QuoteRejectReason, False)
self.register_field(fields.QuoteResponseLevel, False)
self.register_field(fields.QuoteType, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.Text, False)
self.register_group(fields.NoQuoteSets, NoQuoteSetsGroup, False)
MESSAGE_TYPES['b'] = MassQuoteAcknowledgement
class SecurityDefinitionRequest(fix_message.MessageBase):
_msgtype = 'c'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityReqID, True)
self.register_field(fields.SecurityRequestType, True)
register_Instrument_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_group(fields.NoLegs, NoLegsGroup, False)
self.register_field(fields.SubscriptionRequestType, False)
MESSAGE_TYPES['c'] = SecurityDefinitionRequest
class SecurityDefinition(fix_message.MessageBase):
_msgtype = 'd'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityReqID, True)
self.register_field(fields.SecurityResponseID, True)
self.register_field(fields.SecurityResponseType, True)
register_Instrument_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_group(fields.NoLegs, NoLegsGroup, False)
self.register_field(fields.RoundLot, False)
self.register_field(fields.MinTradeVol, False)
MESSAGE_TYPES['d'] = SecurityDefinition
class SecurityStatusRequest(fix_message.MessageBase):
_msgtype = 'e'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityStatusReqID, True)
register_Instrument_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.SubscriptionRequestType, True)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
MESSAGE_TYPES['e'] = SecurityStatusRequest
class SecurityStatus(fix_message.MessageBase):
_msgtype = 'f'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityStatusReqID, False)
register_Instrument_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.UnsolicitedIndicator, False)
self.register_field(fields.SecurityTradingStatus, False)
self.register_field(fields.FinancialStatus, False)
self.register_field(fields.CorporateAction, False)
self.register_field(fields.HaltReason, False)
self.register_field(fields.InViewOfCommon, False)
self.register_field(fields.DueToRelated, False)
self.register_field(fields.BuyVolume, False)
self.register_field(fields.SellVolume, False)
self.register_field(fields.HighPx, False)
self.register_field(fields.LowPx, False)
self.register_field(fields.LastPx, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.Adjustment, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['f'] = SecurityStatus
class TradingSessionStatusRequest(fix_message.MessageBase):
_msgtype = 'g'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.TradSesReqID, True)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.TradSesMethod, False)
self.register_field(fields.TradSesMode, False)
self.register_field(fields.SubscriptionRequestType, True)
MESSAGE_TYPES['g'] = TradingSessionStatusRequest
class TradingSessionStatus(fix_message.MessageBase):
_msgtype = 'h'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.TradSesReqID, False)
self.register_field(fields.TradingSessionID, True)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.TradSesMethod, False)
self.register_field(fields.TradSesMode, False)
self.register_field(fields.UnsolicitedIndicator, False)
self.register_field(fields.TradSesStatus, True)
self.register_field(fields.TradSesStatusRejReason, False)
self.register_field(fields.TradSesStartTime, False)
self.register_field(fields.TradSesOpenTime, False)
self.register_field(fields.TradSesPreCloseTime, False)
self.register_field(fields.TradSesCloseTime, False)
self.register_field(fields.TradSesEndTime, False)
self.register_field(fields.TotalVolumeTraded, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['h'] = TradingSessionStatus
class MassQuote(fix_message.MessageBase):
_msgtype = 'i'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.QuoteReqID, False)
self.register_field(fields.QuoteID, True)
self.register_field(fields.QuoteType, False)
self.register_field(fields.QuoteResponseLevel, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.DefBidSize, False)
self.register_field(fields.DefOfferSize, False)
self.register_group(fields.NoQuoteSets, NoQuoteSetsGroup, True)
MESSAGE_TYPES['i'] = MassQuote
class BusinessMessageReject(fix_message.MessageBase):
_msgtype = 'j'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.RefSeqNum, False)
self.register_field(fields.RefMsgType, True)
self.register_field(fields.BusinessRejectRefID, False)
self.register_field(fields.BusinessRejectReason, True)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['j'] = BusinessMessageReject
class BidRequest(fix_message.MessageBase):
_msgtype = 'k'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.BidID, False)
self.register_field(fields.ClientBidID, True)
self.register_field(fields.BidRequestTransType, True)
self.register_field(fields.ListName, False)
self.register_field(fields.TotalNumSecurities, True)
self.register_field(fields.BidType, True)
self.register_field(fields.NumTickets, False)
self.register_field(fields.Currency, False)
self.register_field(fields.SideValue1, False)
self.register_field(fields.SideValue2, False)
self.register_group(fields.NoBidDescriptors, NoBidDescriptorsGroup, False)
self.register_group(fields.NoBidComponents, NoBidComponentsGroup, False)
self.register_field(fields.LiquidityIndType, False)
self.register_field(fields.WtAverageLiquidity, False)
self.register_field(fields.ExchangeForPhysical, False)
self.register_field(fields.OutMainCntryUIndex, False)
self.register_field(fields.CrossPercent, False)
self.register_field(fields.ProgRptReqs, False)
self.register_field(fields.ProgPeriodInterval, False)
self.register_field(fields.IncTaxInd, False)
self.register_field(fields.ForexReq, False)
self.register_field(fields.NumBidders, False)
self.register_field(fields.TradeDate, False)
self.register_field(fields.TradeType, True)
self.register_field(fields.BasisPxType, True)
self.register_field(fields.StrikeTime, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['k'] = BidRequest
class BidResponse(fix_message.MessageBase):
_msgtype = 'l'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.BidID, False)
self.register_field(fields.ClientBidID, False)
self.register_group(fields.NoBidComponents, NoBidComponentsGroup, True)
MESSAGE_TYPES['l'] = BidResponse
class ListStrikePrice(fix_message.MessageBase):
_msgtype = 'm'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ListID, True)
self.register_field(fields.TotNoStrikes, True)
self.register_group(fields.NoStrikes, NoStrikesGroup, True)
MESSAGE_TYPES['m'] = ListStrikePrice
class XMLnonFIX(fix_message.MessageBase):
_msgtype = 'n'
_msgcat = 'admin'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
MESSAGE_TYPES['n'] = XMLnonFIX
class RegistrationInstructions(fix_message.MessageBase):
_msgtype = 'o'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.RegistID, True)
self.register_field(fields.RegistTransType, True)
self.register_field(fields.RegistRefID, True)
self.register_field(fields.ClOrdID, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.RegistAcctType, False)
self.register_field(fields.TaxAdvantageType, False)
self.register_field(fields.OwnershipType, False)
self.register_group(fields.NoRegistDtls, NoRegistDtlsGroup, False)
self.register_group(fields.NoDistribInsts, NoDistribInstsGroup, False)
self.register_field(fields.OwnershipType, False)
MESSAGE_TYPES['o'] = RegistrationInstructions
class RegistrationInstructionsResponse(fix_message.MessageBase):
_msgtype = 'p'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.RegistID, True)
self.register_field(fields.RegistTransType, True)
self.register_field(fields.RegistRefID, True)
self.register_field(fields.ClOrdID, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.RegistStatus, True)
self.register_field(fields.RegistRejReasonCode, False)
self.register_field(fields.RegistRejReasonText, False)
MESSAGE_TYPES['p'] = RegistrationInstructionsResponse
class OrderMassCancelRequest(fix_message.MessageBase):
_msgtype = 'q'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.MassCancelRequestType, True)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
register_Instrument_component(self)
register_UnderlyingInstrument_component(self)
self.register_field(fields.Side, False)
self.register_field(fields.TransactTime, True)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['q'] = OrderMassCancelRequest
class OrderMassCancelReport(fix_message.MessageBase):
_msgtype = 'r'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ClOrdID, False)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.OrderID, True)
self.register_field(fields.SecondaryOrderID, False)
self.register_field(fields.MassCancelRequestType, True)
self.register_field(fields.MassCancelResponse, True)
self.register_field(fields.MassCancelRejectReason, False)
self.register_field(fields.TotalAffectedOrders, False)
self.register_group(fields.NoAffectedOrders, NoAffectedOrdersGroup, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
register_Instrument_component(self)
register_UnderlyingInstrument_component(self)
self.register_field(fields.Side, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['r'] = OrderMassCancelReport
class NewOrderCross(fix_message.MessageBase):
_msgtype = 's'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.CrossID, True)
self.register_field(fields.CrossType, True)
self.register_field(fields.CrossPrioritization, True)
self.register_group(fields.NoSides, NoSidesGroup, True)
register_Instrument_component(self)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.HandlInst, True)
self.register_field(fields.ExecInst, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.MaxFloor, False)
self.register_field(fields.ExDestination, False)
self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False)
self.register_field(fields.ProcessCode, False)
self.register_field(fields.PrevClosePx, False)
self.register_field(fields.LocateReqd, False)
self.register_field(fields.TransactTime, True)
register_Stipulations_component(self)
self.register_field(fields.OrdType, True)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.StopPx, False)
register_SpreadOrBenchmarkCurveData_component(self)
register_YieldData_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.IOIid, False)
self.register_field(fields.QuoteID, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.GTBookingInst, False)
self.register_field(fields.MaxShow, False)
self.register_field(fields.PegDifference, False)
self.register_field(fields.DiscretionInst, False)
self.register_field(fields.DiscretionOffset, False)
self.register_field(fields.CancellationRights, False)
self.register_field(fields.MoneyLaunderingStatus, False)
self.register_field(fields.RegistID, False)
self.register_field(fields.Designation, False)
self.register_field(fields.AccruedInterestRate, False)
self.register_field(fields.AccruedInterestAmt, False)
self.register_field(fields.NetMoney, False)
MESSAGE_TYPES['s'] = NewOrderCross
class CrossOrderCancelReplaceRequest(fix_message.MessageBase):
_msgtype = 't'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrderID, False)
self.register_field(fields.CrossID, True)
self.register_field(fields.OrigCrossID, True)
self.register_field(fields.CrossType, True)
self.register_field(fields.CrossPrioritization, True)
self.register_group(fields.NoSides, NoSidesGroup, True)
register_Instrument_component(self)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.HandlInst, True)
self.register_field(fields.ExecInst, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.MaxFloor, False)
self.register_field(fields.ExDestination, False)
self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False)
self.register_field(fields.ProcessCode, False)
self.register_field(fields.PrevClosePx, False)
self.register_field(fields.LocateReqd, False)
self.register_field(fields.TransactTime, True)
register_Stipulations_component(self)
self.register_field(fields.OrdType, True)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.StopPx, False)
register_SpreadOrBenchmarkCurveData_component(self)
register_YieldData_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.IOIid, False)
self.register_field(fields.QuoteID, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.GTBookingInst, False)
self.register_field(fields.MaxShow, False)
self.register_field(fields.PegDifference, False)
self.register_field(fields.DiscretionInst, False)
self.register_field(fields.DiscretionOffset, False)
self.register_field(fields.CancellationRights, False)
self.register_field(fields.MoneyLaunderingStatus, False)
self.register_field(fields.RegistID, False)
self.register_field(fields.Designation, False)
self.register_field(fields.AccruedInterestRate, False)
self.register_field(fields.AccruedInterestAmt, False)
self.register_field(fields.NetMoney, False)
MESSAGE_TYPES['t'] = CrossOrderCancelReplaceRequest
class CrossOrderCancelRequest(fix_message.MessageBase):
_msgtype = 'u'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrderID, False)
self.register_field(fields.CrossID, True)
self.register_field(fields.OrigCrossID, True)
self.register_field(fields.CrossType, True)
self.register_field(fields.CrossPrioritization, True)
self.register_group(fields.NoSides, NoSidesGroup, True)
register_Instrument_component(self)
self.register_field(fields.TransactTime, True)
MESSAGE_TYPES['u'] = CrossOrderCancelRequest
class SecurityTypeRequest(fix_message.MessageBase):
_msgtype = 'v'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityReqID, True)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
MESSAGE_TYPES['v'] = SecurityTypeRequest
class SecurityTypes(fix_message.MessageBase):
_msgtype = 'w'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityReqID, True)
self.register_field(fields.SecurityResponseID, True)
self.register_field(fields.SecurityResponseType, True)
self.register_field(fields.TotalNumSecurityTypes, False)
self.register_group(fields.NoSecurityTypes, NoSecurityTypesGroup, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.SubscriptionRequestType, False)
MESSAGE_TYPES['w'] = SecurityTypes
class SecurityListRequest(fix_message.MessageBase):
_msgtype = 'x'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityReqID, True)
self.register_field(fields.SecurityListRequestType, True)
register_Instrument_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.SubscriptionRequestType, False)
MESSAGE_TYPES['x'] = SecurityListRequest
class SecurityList(fix_message.MessageBase):
_msgtype = 'y'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityReqID, True)
self.register_field(fields.SecurityResponseID, True)
self.register_field(fields.SecurityRequestResult, True)
self.register_field(fields.TotalNumSecurities, False)
self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False)
MESSAGE_TYPES['y'] = SecurityList
class DerivativeSecurityListRequest(fix_message.MessageBase):
_msgtype = 'z'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityReqID, True)
self.register_field(fields.SecurityListRequestType, True)
register_UnderlyingInstrument_component(self)
self.register_field(fields.Currency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
self.register_field(fields.SubscriptionRequestType, False)
MESSAGE_TYPES['z'] = DerivativeSecurityListRequest
class DerivativeSecurityList(fix_message.MessageBase):
_msgtype = 'AA'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.SecurityReqID, True)
self.register_field(fields.SecurityResponseID, True)
self.register_field(fields.SecurityRequestResult, True)
register_UnderlyingInstrument_component(self)
self.register_field(fields.TotalNumSecurities, False)
self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False)
MESSAGE_TYPES['AA'] = DerivativeSecurityList
class NewOrderMultileg(fix_message.MessageBase):
_msgtype = 'AB'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ClOrdLinkID, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.DayBookingInst, False)
self.register_field(fields.BookingUnit, False)
self.register_field(fields.PreallocMethod, False)
self.register_group(fields.NoAllocs, NoAllocsGroup, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.CashMargin, False)
self.register_field(fields.ClearingFeeIndicator, False)
self.register_field(fields.HandlInst, True)
self.register_field(fields.ExecInst, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.MaxFloor, False)
self.register_field(fields.ExDestination, False)
self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False)
self.register_field(fields.ProcessCode, False)
self.register_field(fields.Side, True)
register_Instrument_component(self)
self.register_field(fields.PrevClosePx, False)
self.register_group(fields.NoLegs, NoLegsGroup, True)
self.register_field(fields.LocateReqd, False)
self.register_field(fields.TransactTime, True)
self.register_field(fields.QuantityType, False)
register_OrderQtyData_component(self)
self.register_field(fields.OrdType, True)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.StopPx, False)
self.register_field(fields.Currency, False)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.SolicitedFlag, False)
self.register_field(fields.IOIid, False)
self.register_field(fields.QuoteID, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.GTBookingInst, False)
register_CommissionData_component(self)
self.register_field(fields.OrderCapacity, False)
self.register_field(fields.OrderRestrictions, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.ForexReq, False)
self.register_field(fields.SettlCurrency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.PositionEffect, False)
self.register_field(fields.CoveredOrUncovered, False)
self.register_field(fields.MaxShow, False)
self.register_field(fields.PegDifference, False)
self.register_field(fields.DiscretionInst, False)
self.register_field(fields.DiscretionOffset, False)
self.register_field(fields.CancellationRights, False)
self.register_field(fields.MoneyLaunderingStatus, False)
self.register_field(fields.RegistID, False)
self.register_field(fields.Designation, False)
self.register_field(fields.MultiLegRptTypeReq, False)
self.register_field(fields.NetMoney, False)
MESSAGE_TYPES['AB'] = NewOrderMultileg
class MultilegOrderCancelReplaceRequest(fix_message.MessageBase):
_msgtype = 'AC'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.OrderID, False)
self.register_field(fields.OrigClOrdID, True)
self.register_field(fields.ClOrdID, True)
self.register_field(fields.SecondaryClOrdID, False)
self.register_field(fields.ClOrdLinkID, False)
self.register_field(fields.OrigOrdModTime, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.DayBookingInst, False)
self.register_field(fields.BookingUnit, False)
self.register_field(fields.PreallocMethod, False)
self.register_group(fields.NoAllocs, NoAllocsGroup, False)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.CashMargin, False)
self.register_field(fields.ClearingFeeIndicator, False)
self.register_field(fields.HandlInst, True)
self.register_field(fields.ExecInst, False)
self.register_field(fields.MinQty, False)
self.register_field(fields.MaxFloor, False)
self.register_field(fields.ExDestination, False)
self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False)
self.register_field(fields.ProcessCode, False)
self.register_field(fields.Side, True)
register_Instrument_component(self)
self.register_field(fields.PrevClosePx, False)
self.register_group(fields.NoLegs, NoLegsGroup, True)
self.register_field(fields.LocateReqd, False)
self.register_field(fields.TransactTime, True)
self.register_field(fields.QuantityType, False)
register_OrderQtyData_component(self)
self.register_field(fields.OrdType, True)
self.register_field(fields.PriceType, False)
self.register_field(fields.Price, False)
self.register_field(fields.StopPx, False)
self.register_field(fields.Currency, False)
self.register_field(fields.ComplianceID, False)
self.register_field(fields.SolicitedFlag, False)
self.register_field(fields.IOIid, False)
self.register_field(fields.QuoteID, False)
self.register_field(fields.TimeInForce, False)
self.register_field(fields.EffectiveTime, False)
self.register_field(fields.ExpireDate, False)
self.register_field(fields.ExpireTime, False)
self.register_field(fields.GTBookingInst, False)
register_CommissionData_component(self)
self.register_field(fields.OrderCapacity, False)
self.register_field(fields.OrderRestrictions, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.ForexReq, False)
self.register_field(fields.SettlCurrency, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.PositionEffect, False)
self.register_field(fields.CoveredOrUncovered, False)
self.register_field(fields.MaxShow, False)
self.register_field(fields.PegDifference, False)
self.register_field(fields.DiscretionInst, False)
self.register_field(fields.DiscretionOffset, False)
self.register_field(fields.CancellationRights, False)
self.register_field(fields.MoneyLaunderingStatus, False)
self.register_field(fields.RegistID, False)
self.register_field(fields.Designation, False)
self.register_field(fields.MultiLegRptTypeReq, False)
self.register_field(fields.NetMoney, False)
MESSAGE_TYPES['AC'] = MultilegOrderCancelReplaceRequest
class TradeCaptureReportRequest(fix_message.MessageBase):
_msgtype = 'AD'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.TradeRequestID, True)
self.register_field(fields.TradeRequestType, True)
self.register_field(fields.SubscriptionRequestType, False)
self.register_field(fields.ExecID, False)
self.register_field(fields.OrderID, False)
self.register_field(fields.ClOrdID, False)
self.register_field(fields.MatchStatus, False)
register_Parties_component(self)
register_Instrument_component(self)
self.register_group(fields.NoDates, NoDatesGroup, False)
self.register_field(fields.Side, False)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
self.register_field(fields.TradeInputSource, False)
self.register_field(fields.TradeInputDevice, False)
MESSAGE_TYPES['AD'] = TradeCaptureReportRequest
class TradeCaptureReport(fix_message.MessageBase):
_msgtype = 'AE'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.TradeReportID, True)
self.register_field(fields.TradeReportTransType, False)
self.register_field(fields.TradeRequestID, False)
self.register_field(fields.ExecType, True)
self.register_field(fields.TradeReportRefID, False)
self.register_field(fields.ExecID, False)
self.register_field(fields.SecondaryExecID, False)
self.register_field(fields.ExecRestatementReason, False)
self.register_field(fields.PreviouslyReported, True)
register_Instrument_component(self)
register_OrderQtyData_component(self)
self.register_field(fields.LastQty, True)
self.register_field(fields.LastPx, True)
self.register_field(fields.LastSpotRate, False)
self.register_field(fields.LastForwardPoints, False)
self.register_field(fields.LastMkt, False)
self.register_field(fields.TradeDate, True)
self.register_field(fields.TransactTime, True)
self.register_field(fields.SettlmntTyp, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.MatchStatus, False)
self.register_field(fields.MatchType, False)
self.register_group(fields.NoSides, NoSidesGroup, True)
MESSAGE_TYPES['AE'] = TradeCaptureReport
class OrderMassStatusRequest(fix_message.MessageBase):
_msgtype = 'AF'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.MassStatusReqID, True)
self.register_field(fields.MassStatusReqType, True)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
register_Instrument_component(self)
register_UnderlyingInstrument_component(self)
self.register_field(fields.Side, False)
MESSAGE_TYPES['AF'] = OrderMassStatusRequest
class QuoteRequestReject(fix_message.MessageBase):
_msgtype = 'AG'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.QuoteReqID, True)
self.register_field(fields.RFQReqID, False)
self.register_field(fields.QuoteRequestRejectReason, True)
self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, True)
self.register_field(fields.Text, False)
self.register_field(fields.EncodedTextLen, False)
self.register_field(fields.EncodedText, False)
MESSAGE_TYPES['AG'] = QuoteRequestReject
class RFQRequest(fix_message.MessageBase):
_msgtype = 'AH'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.RFQReqID, True)
self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, True)
self.register_field(fields.SubscriptionRequestType, False)
MESSAGE_TYPES['AH'] = RFQRequest
class QuoteStatusReport(fix_message.MessageBase):
_msgtype = 'AI'
_msgcat = 'app'
def __init__(self):
self.Header = Header()
self.Trailer = Trailer()
super().__init__()
self.register_field(fields.QuoteStatusReqID, False)
self.register_field(fields.QuoteReqID, False)
self.register_field(fields.QuoteID, True)
self.register_field(fields.QuoteType, False)
register_Parties_component(self)
self.register_field(fields.Account, False)
self.register_field(fields.AccountType, False)
self.register_field(fields.TradingSessionID, False)
self.register_field(fields.TradingSessionSubID, False)
register_Instrument_component(self)
self.register_field(fields.BidPx, False)
self.register_field(fields.OfferPx, False)
self.register_field(fields.MktBidPx, False)
self.register_field(fields.MktOfferPx, False)
self.register_field(fields.MinBidSize, False)
self.register_field(fields.BidSize, False)
self.register_field(fields.MinOfferSize, False)
self.register_field(fields.OfferSize, False)
self.register_field(fields.ValidUntilTime, False)
self.register_field(fields.BidSpotRate, False)
self.register_field(fields.OfferSpotRate, False)
self.register_field(fields.BidForwardPoints, False)
self.register_field(fields.OfferForwardPoints, False)
self.register_field(fields.MidPx, False)
self.register_field(fields.BidYield, False)
self.register_field(fields.MidYield, False)
self.register_field(fields.OfferYield, False)
self.register_field(fields.TransactTime, False)
self.register_field(fields.FutSettDate, False)
self.register_field(fields.OrdType, False)
self.register_field(fields.FutSettDate2, False)
self.register_field(fields.OrderQty2, False)
self.register_field(fields.BidForwardPoints2, False)
self.register_field(fields.OfferForwardPoints2, False)
self.register_field(fields.Currency, False)
self.register_field(fields.SettlCurrBidFxRate, False)
self.register_field(fields.SettlCurrOfferFxRate, False)
self.register_field(fields.SettlCurrFxRateCalc, False)
self.register_field(fields.Commission, False)
self.register_field(fields.CommType, False)
self.register_field(fields.CustOrderCapacity, False)
self.register_field(fields.ExDestination, False)
self.register_field(fields.QuoteStatus, False)
MESSAGE_TYPES['AI'] = QuoteStatusReport
| 44.027964
| 96
| 0.72368
| 11,707
| 111,787
| 6.664389
| 0.068677
| 0.234401
| 0.313984
| 0.424801
| 0.85082
| 0.729108
| 0.720649
| 0.711664
| 0.700064
| 0.690554
| 0
| 0.000568
| 0.181604
| 111,787
| 2,538
| 97
| 44.045311
| 0.85224
| 0.000662
| 0
| 0.681439
| 0
| 0
| 0.003414
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0509
| false
| 0.000439
| 0.001316
| 0
| 0.157525
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
5231070526593e903ca8975b417388c98406b1f0
| 3,251
|
py
|
Python
|
apicomponents/search.py
|
tonnyhideyori/dependencytrack-pywrap
|
58d4a8ac8862bbdb7007ab483f38f5871ab55c48
|
[
"MIT"
] | null | null | null |
apicomponents/search.py
|
tonnyhideyori/dependencytrack-pywrap
|
58d4a8ac8862bbdb7007ab483f38f5871ab55c48
|
[
"MIT"
] | 5
|
2021-11-18T20:35:12.000Z
|
2021-11-25T19:03:16.000Z
|
apicomponents/search.py
|
tonnyhideyori/dependencytrack-pywrap
|
58d4a8ac8862bbdb7007ab483f38f5871ab55c48
|
[
"MIT"
] | 2
|
2021-11-15T19:58:15.000Z
|
2021-11-23T12:55:04.000Z
|
class DependencyTrackSearch(object):
def general_search(self,query=None):
if query:
response= self.session.get(self.apicall + "/v1/search", params={'query':query})
else:
response= self.session.get(self.apicall + "/v1/search")
if response.status_code == 200:
return response.json()
elif response.status_code == 401:
return (f"Unauthorized, {response.status_code}")
else:
return (f"{(response.content).decode('utf-8')}, {response.status_code}")
def project_search(self,query=None):
if query:
response= self.session.get(self.apicall + "/v1/search/project", params={'query':query})
else:
response= self.session.get(self.apicall + "/v1/search/project")
if response.status_code == 200:
return response.json()
elif response.status_code == 401:
return (f"Unauthorized, {response.status_code}")
else:
return (f"{(response.content).decode('utf-8')}, {response.status_code}")
def component_search(self, query=None):
if query:
response = self.session.get(self.apicall + "/v1/search/component", params={'query': query})
else:
response = self.session.get(self.apicall + "/v1/search/component")
if response.status_code == 200:
return response.json()
elif response.status_code == 401:
return (f"Unauthorized, {response.status_code}")
else:
return (f"{(response.content).decode('utf-8')}, {response.status_code}")
def service_search(self, query=None):
if query:
response = self.session.get(self.apicall + "/v1/search/service", params={'query': query})
else:
response = self.session.get(self.apicall + "/v1/search/service")
if response.status_code == 200:
return response.json()
elif response.status_code == 401:
return (f"Unauthorized, {response.status_code}")
else:
return (f"{(response.content).decode('utf-8')}, {response.status_code}")
def license_search(self, query=None):
if query:
response = self.session.get(self.apicall + "/v1/search/license", params={'query': query})
else:
response = self.session.get(self.apicall + "/v1/search/license")
if response.status_code == 200:
return response.json()
elif response.status_code == 401:
return (f"Unauthorized, {response.status_code}")
else:
return (f"{(response.content).decode('utf-8')}, {response.status_code}")
def vulnerability_search(self, query=None):
if query:
response = self.session.get(self.apicall + "/v1/search/vulnerability", params={'query': query})
else:
response = self.session.get(self.apicall + "/v1/search/vulnerability")
if response.status_code == 200:
return response.json()
elif response.status_code == 401:
return (f"Unauthorized, {response.status_code}")
else:
return (f"{(response.content).decode('utf-8')}, {response.status_code}")
| 43.932432
| 107
| 0.592433
| 361
| 3,251
| 5.252078
| 0.096953
| 0.177215
| 0.227848
| 0.139241
| 0.955169
| 0.955169
| 0.955169
| 0.955169
| 0.955169
| 0.90981
| 0
| 0.022604
| 0.265149
| 3,251
| 73
| 108
| 44.534247
| 0.771034
| 0
| 0
| 0.716418
| 0
| 0
| 0.252845
| 0.164257
| 0
| 0
| 0
| 0
| 0
| 1
| 0.089552
| false
| 0
| 0
| 0
| 0.373134
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
5258a36e25bf3d8b862c648436da71480ea2d1c4
| 159
|
py
|
Python
|
pymzn/tests/__init__.py
|
DanieleMorotti/pymzn
|
3a7401e4c632096d06abce86e9d9422eec198aaa
|
[
"MIT"
] | 52
|
2016-09-24T20:11:09.000Z
|
2022-01-31T21:44:24.000Z
|
pymzn/tests/__init__.py
|
DanieleMorotti/pymzn
|
3a7401e4c632096d06abce86e9d9422eec198aaa
|
[
"MIT"
] | 43
|
2016-07-28T07:39:55.000Z
|
2021-09-04T06:51:11.000Z
|
pymzn/tests/__init__.py
|
DanieleMorotti/pymzn
|
3a7401e4c632096d06abce86e9d9422eec198aaa
|
[
"MIT"
] | 24
|
2016-11-07T21:18:17.000Z
|
2019-07-29T18:34:54.000Z
|
from . import test_marsh
from .test_marsh import *
from . import test_parse
from .test_parse import *
from . import test_minizinc
from .test_minizinc import *
| 22.714286
| 28
| 0.792453
| 24
| 159
| 5
| 0.25
| 0.25
| 0.35
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150943
| 159
| 6
| 29
| 26.5
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
527cc5a9411baa91827a2f2bad2359c356d993ab
| 21,961
|
py
|
Python
|
mspray/apps/main/tests/views/test_performance.py
|
onaio/mspray
|
b3e0f4b5855abbf0298de6b66f2e9f472f2bf838
|
[
"Apache-2.0"
] | null | null | null |
mspray/apps/main/tests/views/test_performance.py
|
onaio/mspray
|
b3e0f4b5855abbf0298de6b66f2e9f472f2bf838
|
[
"Apache-2.0"
] | 76
|
2018-03-15T09:37:56.000Z
|
2019-05-15T12:45:51.000Z
|
mspray/apps/main/tests/views/test_performance.py
|
onaio/mspray
|
b3e0f4b5855abbf0298de6b66f2e9f472f2bf838
|
[
"Apache-2.0"
] | 1
|
2020-10-31T07:15:22.000Z
|
2020-10-31T07:15:22.000Z
|
# -*- coding: utf-8 -*-
"""Test performance views module."""
import datetime
from django.test import RequestFactory, override_settings
from mspray.apps.main.models import (
Location,
PerformanceReport,
SprayDay,
SprayOperator,
TeamLeader,
TeamLeaderAssistant,
)
from mspray.apps.main.serializers import (
DistrictPerformanceReportSerializer,
MDADistrictPerformanceReportSerializer,
PerformanceReportSerializer,
TLAPerformanceReportSerializer,
)
from mspray.apps.main.serializers.performance_report import (
RHCPerformanceReportSerializer,
SprayOperatorPerformanceReportSerializer,
)
from mspray.apps.main.tests.test_base import TestBase
from mspray.apps.main.tests.utils import data_setup
from mspray.apps.main.utils import performance_report
from mspray.apps.main.views.performance import (
DISTRICT_PERFORMANCE_SQL,
SOP_PERFORMANCE_SQL,
TLA_PERFORMANCE_SQL,
DistrictPerfomanceView,
MDADistrictPerfomanceView,
MDASprayOperatorDailyView,
MDASprayOperatorSummaryView,
RHCPerformanceView,
SprayOperatorDailyView,
SprayOperatorSummaryView,
TeamLeadersPerformanceView,
)
class TestPerformanceView(TestBase):
"""Test performance view class."""
def test_district_performance(self):
"""Test district performance view.
This is done by confirming the data received in the response
context is being aggregated appropriately within the view
"""
# first we load our test data
data_setup()
self._load_fixtures()
rhc = Location.objects.get(name="Zemba")
district = rhc.parent
spray_operator = SprayOperator.objects.first()
team_leader = TeamLeader.objects.first()
spray_operator.team_leader = team_leader
spray_operator.rhc = rhc
spray_operator.district = rhc.parent
spray_operator.save()
# next we identify a SprayDay object for the spray operator
spray_day = SprayDay.objects.filter(spray_operator=spray_operator)
spray_day.update(sprayable=True)
# Create performance report objects from the submissions made
# by the particular sprayoperator.
performance_report(spray_operator)
report1 = PerformanceReport.objects.get(spray_operator=spray_operator)
report1.found = 7
report1.reported_sprayed = 16
report1.reported_found = 22
report1.district = district
report1.save()
report2 = PerformanceReport.objects.get(spray_operator=spray_operator)
report2.id = None
report2.sprayformid = 7658
report2.refused = 6
report2.found = 12
report2.reported_sprayed = 6
report1.district = district
report2.save()
factory = RequestFactory()
request = factory.get("/")
view = DistrictPerfomanceView.as_view()
response = view(request)
self.assertEqual(response.status_code, 200)
# Query obtains all data for the SprayOperator
# including submissions made and passes this to the serializer
queryset = Location.objects.raw(DISTRICT_PERFORMANCE_SQL)
serializer = DistrictPerformanceReportSerializer(queryset, many=True)
self.assertEqual(response.context_data["data"], serializer.data)
def test_mda_district_performance(self):
"""Test district performance view.
This is done by confirming the data received in the response
context is being aggregated appropriately within the view
"""
# first we load our test data
data_setup()
self._load_fixtures()
rhc = Location.objects.get(name="Zemba")
district = rhc.parent
spray_operator = SprayOperator.objects.first()
team_leader = TeamLeader.objects.first()
spray_operator.team_leader = team_leader
spray_operator.rhc = rhc
spray_operator.district = rhc.parent
spray_operator.save()
# next we identify a SprayDay object for the spray operator
spray_day = SprayDay.objects.filter(spray_operator=spray_operator)
spray_day.update(sprayable=True)
# Create performance report objects from the submissions made
# by the particular sprayoperator.
performance_report(spray_operator)
report1 = PerformanceReport.objects.get(spray_operator=spray_operator)
report1.found = 7
report1.reported_sprayed = 16
report1.reported_found = 22
report1.district = district
report1.save()
report2 = PerformanceReport.objects.get(spray_operator=spray_operator)
report2.id = None
report2.sprayformid = 7658
report2.refused = 6
report2.found = 12
report2.reported_sprayed = 6
report1.district = district
report2.save()
factory = RequestFactory()
request = factory.get("/")
view = MDADistrictPerfomanceView.as_view()
response = view(request)
self.assertEqual(response.status_code, 200)
# Query obtains all data for the SprayOperator
# including submissions made and passes this to the serializer
queryset = Location.performance_queryset('sop_district', None)
serializer = MDADistrictPerformanceReportSerializer(
queryset, many=True
)
self.assertEqual(response.context_data["data"], serializer.data)
@override_settings(MSPRAY_SUPERVISOR_LABEL="Supervisor")
def test_team_leader_performance(self):
"""Test team leaders performance view."""
data_setup()
self._load_fixtures()
rhc = Location.objects.get(name="Miti")
district = rhc.parent
spray_operator = SprayOperator.objects.first()
team_leader = TeamLeader.objects.first()
spray_operator.team_leader = team_leader
spray_operator.rhc = rhc
spray_operator.district = rhc.parent
spray_operator.save()
# next we identify a SprayDay object for the spray operator
spray_day = SprayDay.objects.filter(spray_operator=spray_operator)
spray_day.update(sprayable=True)
# Create performance report objects from the submissions made
# by the particular sprayoperator.
performance_report(spray_operator)
report1 = PerformanceReport.objects.get(spray_operator=spray_operator)
report1.found = 7
report1.reported_sprayed = 16
report1.reported_found = 22
report1.district = rhc
report1.save()
report2 = PerformanceReport.objects.get(spray_operator=spray_operator)
report2.id = None
report2.sprayformid = 7658
report2.refused = 6
report2.found = 12
report2.reported_sprayed = 6
report1.district = rhc
report2.save()
request = RequestFactory().get("/performance/team-leaders/458")
view = TeamLeadersPerformanceView.as_view()
response = view(request, slug=district.id)
self.assertEqual(response.status_code, 200)
self.assertTrue("Supervisor" in str(response.render().content))
queryset = TeamLeaderAssistant.objects.raw(
TLA_PERFORMANCE_SQL, [district.id]
)
serializer = TLAPerformanceReportSerializer(queryset, many=True)
result = {
"other": 0,
"refused": 6,
"sprayed": 2,
"sprayable": 19,
"not_sprayable": 0,
"not_eligible": 0,
"not_sprayed_total": 6,
"data_quality_check": False,
"found_difference": 15,
"sprayed_difference": 15,
"no_of_days_worked": 2,
"avg_structures_per_so": 0.7307692307692307,
"avg_start_time": datetime.time(16, 22, 17),
"avg_end_time": datetime.time(16, 38, 8),
}
self.assertEqual(response.context_data["data"], serializer.data)
self.assertEqual(response.context_data["totals"], result)
def test_spray_operator_summary_view(self): # pylint: disable=C0103
"""Test SprayOperatorSummaryView.
This is done by confirming the data received in the response
context is being aggregated appropriately within the view
"""
# first we load our test data
data_setup()
self._load_fixtures()
rhc = Location.objects.get(name="Chadiza_104")
spray_operator = SprayOperator.objects.first()
team_leader = TeamLeader.objects.first()
spray_operator.team_leader = team_leader
spray_operator.rhc = rhc
spray_operator.district = rhc.parent
spray_operator.save()
# update spray day object for the particular spray operator
spray_day = SprayDay.objects.filter(spray_operator=spray_operator)
spray_day.update(sprayable=True)
# Create performance report objects from the submissions made
# by the particular sprayoperator.
performance_report(spray_operator)
report1 = PerformanceReport.objects.get(spray_operator=spray_operator)
report1.found = 7
report1.reported_sprayed = 16
report1.reported_found = 22
report1.save()
report2 = PerformanceReport.objects.get(spray_operator=spray_operator)
report2.id = None
report2.sprayformid = 7658
report2.refused = 6
report2.found = 12
report2.reported_sprayed = 6
report2.save()
factory = RequestFactory()
request = factory.get("/performance/spray-operators/2939/102/summary")
view = SprayOperatorSummaryView.as_view()
response = view(
request,
team_leader=spray_operator.team_leader.id,
slug=spray_operator.id,
)
self.assertEqual(response.status_code, 200)
# Query obtains all data for the SprayOperator
# including submissions made and passes this to the serializer
queryset = SprayOperator.objects.raw(
SOP_PERFORMANCE_SQL, [spray_operator.team_leader_assistant.id]
)
serializer = SprayOperatorPerformanceReportSerializer(
queryset, many=True
)
result = {
"other": 0,
"refused": 6,
"sprayed": 2,
"sprayable": 19,
"not_sprayable": 0,
"not_sprayed_total": 6,
"data_quality_check": False,
"found_difference": 15,
"sprayed_difference": 15,
"no_of_days_worked": 2,
"avg_structures_per_so": 9.5,
"avg_start_time": datetime.time(5, 27, 25, 666667),
"avg_end_time": datetime.time(5, 32, 42, 666667),
}
self.assertEqual(response.context_data["data"], serializer.data)
self.assertEqual(response.context_data["totals"], result)
def test__spray_operator_daily_view(self):
"""Test SprayOperatorDailyView.
This is done by confirming the data received in the response
context is being aggregated appropriately within the view
"""
# first we load our test data
data_setup()
self._load_fixtures()
rhc = Location.objects.get(name="John")
spray_operator = SprayOperator.objects.first()
team_leader = TeamLeader.objects.first()
spray_operator.team_leader = team_leader
spray_operator.rhc = rhc
spray_operator.district = rhc.parent
spray_operator.save()
# next we identify a SprayDay object for the spray operator
spray_day = SprayDay.objects.filter(spray_operator=spray_operator)
spray_day.update(sprayable=True)
factory = RequestFactory()
request = factory.get(
"/performance/spray-operators/2939/102/538/daily"
)
view = SprayOperatorDailyView.as_view()
# Create performance report objects from the submissions made
# by the particular sprayoperator.
performance_report(spray_operator)
report1 = PerformanceReport.objects.get(spray_operator=spray_operator)
report1.found = 7
report1.reported_sprayed = 16
report1.reported_found = 22
report1.save()
report2 = PerformanceReport.objects.get(spray_operator=spray_operator)
report2.id = None
report2.sprayformid = 7658
report2.refused = 6
report2.found = 12
report2.reported_sprayed = 6
report2.save()
# Query obtains all data for the SprayOperator
# including submissions made and passes this to the serializer
queryset = PerformanceReport.objects.filter(
spray_operator=spray_operator
).order_by("spray_date")
serializer = PerformanceReportSerializer(queryset, many=True)
response = view(
request,
slug=rhc.id,
team_leader=spray_operator.team_leader.id,
spray_operator=spray_operator.id,
)
self.assertEqual(response.status_code, 200)
result = {
"other": 0,
"refused": 6,
"sprayed": 2,
"sprayable": 19,
"not_sprayable": 0,
"not_sprayed_total": 6,
"data_quality_check": False,
"found_difference": 25,
"sprayed_difference": 20,
"avg_start_time": datetime.time(16, 22, 17),
"avg_end_time": datetime.time(16, 38, 8),
}
self.assertEqual(response.context_data["data"], serializer.data)
self.assertEqual(response.context_data["totals"], result)
def test_mda_spray_operator_summary_view(self): # pylint: disable=C0103
"""Test MDASprayOperatorSummaryView.
This is done by confirming the data received in the response
context is being aggregated appropriately within the view
"""
# first we load our test data
data_setup()
self._load_fixtures()
rhc = Location.objects.get(name="Chadiza_104")
spray_operator = SprayOperator.objects.first()
team_leader = TeamLeader.objects.first()
# next we identify a SprayDay object for the spray operator
spray_operator.team_leader = team_leader
spray_operator.rhc = rhc
spray_operator.district = rhc.parent
spray_operator.save()
# update spray day object for the particular spray operator
spray_day = SprayDay.objects.filter(spray_operator=spray_operator)
spray_day.update(sprayable=True)
# Create performance report objects from the submissions made
# by the particular sprayoperator.
performance_report(spray_operator)
report1 = PerformanceReport.objects.get(spray_operator=spray_operator)
report1.found = 7
report1.reported_sprayed = 16
report1.reported_found = 22
report1.save()
report2 = PerformanceReport.objects.get(spray_operator=spray_operator)
report2.id = None
report2.sprayformid = 7658
report2.refused = 6
report2.found = 12
report2.reported_sprayed = 6
report2.save()
factory = RequestFactory()
request = factory.get("spray-operators/2/summary")
view = MDASprayOperatorSummaryView.as_view()
response = view(request, rhc_id=rhc.id)
self.assertEqual(response.status_code, 200)
self.assertEqual(response.context_data["rhc_name"], "Chadiza_104")
# Query obtains all data for the SprayOperator
# including submissions made and passes this to the serializer
serializer = SprayOperatorPerformanceReportSerializer(
response.context_data["spray_operator_qs"], many=True
)
result = {
"other": 0,
"refused": 6,
"sprayed": 2,
"sprayable": 19,
"not_sprayable": 0,
"not_sprayed_total": 6,
"data_quality_check": False,
"found_difference": 15,
"sprayed_difference": 15,
"no_of_days_worked": 2,
"avg_structures_per_so": 9.5,
"avg_start_time": datetime.time(16, 22, 17),
"avg_end_time": datetime.time(16, 38, 8),
"custom": {},
"not_eligible": 0,
}
self.assertEqual(response.context_data["totals"], result)
self.assertEqual(response.context_data["data"], serializer.data)
def test_mda_spray_operator_daily_view(self): # pylint: disable=C0103
"""Test MDASprayOperatorDailyView.
This is done by confirming the data received in the response
context is being aggregated appropriately within the view
"""
# first we load our test data
data_setup()
self._load_fixtures()
rhc = Location.objects.get(name="John")
spray_operator = SprayOperator.objects.first()
team_leader = TeamLeader.objects.first()
spray_operator.team_leader = team_leader
spray_operator.rhc = rhc
spray_operator.district = rhc.parent
spray_operator.save()
# next we identify a SprayDay object for the spray operator
spray_day = SprayDay.objects.filter(spray_operator=spray_operator)
spray_day.update(sprayable=True)
factory = RequestFactory()
request = factory.get("/mda/performance/spray-operators/33/42/daily")
view = MDASprayOperatorDailyView.as_view()
# Create performance report objects from the submissions made
# by the particular sprayoperator.
performance_report(spray_operator)
report1 = PerformanceReport.objects.get(spray_operator=spray_operator)
report1.found = 7
report1.reported_sprayed = 16
report1.reported_found = 22
report1.save()
report2 = PerformanceReport.objects.get(spray_operator=spray_operator)
report2.id = None
report2.sprayformid = 7658
report2.refused = 6
report2.found = 12
report2.reported_sprayed = 6
report2.save()
# Query obtains all data for the SprayOperator
# including submissions made and passes this to the serializer
queryset = PerformanceReport.objects.filter(
spray_operator=spray_operator
).order_by("spray_date")
serializer = PerformanceReportSerializer(queryset, many=True)
response = view(
request, rhc_id=rhc.id, spray_operator=spray_operator.id
)
self.assertEqual(response.status_code, 200)
result = {
"other": 0,
"refused": 6,
"sprayed": 2,
"sprayable": 19,
"not_sprayable": 0,
"not_sprayed_total": 6,
"data_quality_check": False,
"found_difference": 25,
"sprayed_difference": 20,
"avg_start_time": datetime.time(16, 22, 17),
"avg_end_time": datetime.time(16, 38, 8),
"data": {},
"not_eligible": 0,
}
self.assertEqual(response.context_data["rhc_name"], "John")
self.assertEqual(response.context_data["data"], serializer.data)
self.assertEqual(response.context_data["totals"], result)
def test_rhc_performance_view(self):
"""Test RHCPerformanceView."""
# first we load our test data
data_setup()
self._load_fixtures()
rhc = Location.objects.get(name="Zemba")
district = rhc.parent
spray_operator = SprayOperator.objects.first()
team_leader = TeamLeader.objects.first()
spray_operator.team_leader = team_leader
spray_operator.rhc = rhc
spray_operator.district = district
spray_operator.save()
# next we identify a SprayDay object for the spray operator
spray_day = SprayDay.objects.filter(spray_operator=spray_operator)
spray_day.update(sprayable=True)
# Create performance report objects from the submissions made
# by the particular sprayoperator.
performance_report(spray_operator)
report1 = PerformanceReport.objects.get(spray_operator=spray_operator)
report1.found = 7
report1.reported_sprayed = 16
report1.reported_found = 22
report1.district = district
report1.save()
report2 = PerformanceReport.objects.get(spray_operator=spray_operator)
report2.id = None
report2.sprayformid = 7658
report2.refused = 6
report2.found = 12
report2.reported_sprayed = 6
report1.district = district
report2.save()
request = RequestFactory().get("/mda/performance/rhcs/2")
view = RHCPerformanceView.as_view()
response = view(request, district_id=district.id)
self.assertEqual(response.status_code, 200)
# Query obtains all data for the SprayOperator
# including submissions made and passes this to the serializer
queryset = Location.performance_queryset("sop_rhc", district)
serializer = RHCPerformanceReportSerializer(queryset, many=True)
result = {
"custom": {},
"days_worked": 1,
"other": 0,
"refused": 6,
"sprayed": 2,
"sprayable": 19,
"not_sprayable": 0,
"not_eligible": 0,
"not_sprayed_total": 6,
"data_quality_check": True,
"found_difference": 0,
"sprayed_difference": 0,
"houses": 26,
"no_of_days_worked": 2,
"avg_structures_per_so": 0.4523809523809524,
"avg_start_time": datetime.time(16, 22, 17),
"avg_end_time": datetime.time(16, 38, 8),
"success_rate": 0.0,
}
self.assertEqual(response.context_data["totals"], result)
self.assertEqual(response.context_data["data"], serializer.data)
| 36.419569
| 78
| 0.646237
| 2,300
| 21,961
| 5.993478
| 0.088696
| 0.115053
| 0.05876
| 0.054697
| 0.83881
| 0.817048
| 0.814871
| 0.804207
| 0.792818
| 0.785564
| 0
| 0.029478
| 0.270889
| 21,961
| 602
| 79
| 36.480066
| 0.831439
| 0.151314
| 0
| 0.749436
| 0
| 0
| 0.081575
| 0.016152
| 0
| 0
| 0
| 0
| 0.056433
| 1
| 0.018059
| false
| 0
| 0.020316
| 0
| 0.040632
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
87395bfb2edc72f7c7b006318d2a76e504c2845c
| 4,565
|
py
|
Python
|
eth-tools/psycellium.py
|
kyleaquino/psycellium
|
743be474e5dfa3b880ef0fc27e5d837a9c3de841
|
[
"MIT"
] | null | null | null |
eth-tools/psycellium.py
|
kyleaquino/psycellium
|
743be474e5dfa3b880ef0fc27e5d837a9c3de841
|
[
"MIT"
] | 4
|
2018-11-24T19:55:59.000Z
|
2021-06-10T21:06:31.000Z
|
eth-tools/psycellium.py
|
kyleaquino/psycellium
|
743be474e5dfa3b880ef0fc27e5d837a9c3de841
|
[
"MIT"
] | 1
|
2019-01-08T12:59:15.000Z
|
2019-01-08T12:59:15.000Z
|
import oracle as web3
ETH_DIR = './../../ethereum/contracts/'
contract_file = 'Psycellium.sol'
contract_name = ':Psycellium'
def setMember(members,coopid):
w3 = web3.init()
w3.eth.defaultAccount = w3.eth.accounts[0] #CreateAccount, AddAccount Ropsten
interface = web3.compile(ETH_DIR,contract_file,contract_name)
contract = web3.contract(w3, interface['abi'], interface['bin'])
tx_hash, tx_receipt = web3.tx_generate(contract, w3)
psycellium = web3.contract_object(w3, tx_receipt.contractAddress,interface['abi'])
psycellium.functions.setMember(members,coopid).transact()
print(w3.eth.waitForTransactionReceipt(tx_hash))
# setMember(['0xeCDB33423EEb354aDE809a17c53D1325626c5219','0xa8Bd814a4a325d0092416Ac7574fFb5868899B9e'],1)
def setMemberName(name):
w3 = web3.init()
w3.eth.defaultAccount = w3.eth.accounts[0]
interface = web3.compile(ETH_DIR,contract_file,contract_name)
contract = web3.contract(w3, interface['abi'], interface['bin'])
tx_hash, tx_receipt = web3.tx_generate(contract, w3)
psycellium = web3.contract_object(w3, tx_receipt.contractAddress,interface['abi'])
psycellium.functions.setMemberName(name).transact()
print(w3.eth.waitForTransactionReceipt(tx_hash))
# setMemberName('John')
def createCoop(coopaddress, director, coopdesc, issuedate):
w3 = web3.init()
w3.eth.defaultAccount = w3.eth.accounts[0]
interface = web3.compile(ETH_DIR,contract_file,contract_name)
contract = web3.contract(w3, interface['abi'], interface['bin'])
tx_hash, tx_receipt = web3.tx_generate(contract, w3)
psycellium = web3.contract_object(w3, tx_receipt.contractAddress,interface['abi'])
psycellium.functions.createCoop((coopaddress, director, coopdesc, issuedate).transact()
print(w3.eth.waitForTransactionReceipt(tx_hash))
# createCoop('0xeCDB33423EEb354aDE809a17c53D1325626c5219', '0xa8Bd814a4a325d0092416Ac7574fFb5868899B9e', 'DESC', '2018-10-10')
def getCoopAddress(coopid):
w3 = web3.init()
w3.eth.defaultAccount = w3.eth.accounts[0]
interface = web3.compile(ETH_DIR,contract_file,contract_name)
contract = web3.contract(w3, interface['abi'], interface['bin'])
tx_hash, tx_receipt = web3.tx_generate(contract, w3)
psycellium = web3.contract_object(w3, tx_receipt.contractAddress,interface['abi'])
result = psycellium.functions.getCoopAddress(coopid).call()
print(w3.eth.waitForTransactionReceipt(tx_hash))
print(result)
# getCoopAddress(1)
def getMembers(coopid):
w3 = web3.init()
w3.eth.defaultAccount = w3.eth.accounts[0]
interface = web3.compile(ETH_DIR,contract_file,contract_name)
contract = web3.contract(w3, interface['abi'], interface['bin'])
tx_hash, tx_receipt = web3.tx_generate(contract, w3)
psycellium = web3.contract_object(w3, tx_receipt.contractAddress,interface['abi'])
result = psycellium.functions.getMembers(coopid).call()
print(w3.eth.waitForTransactionReceipt(tx_hash))
print(result)
# getMembers(1)
def isCoopMember(userid):
w3 = web3.init()
w3.eth.defaultAccount = w3.eth.accounts[0]
interface = web3.compile(ETH_DIR,contract_file,contract_name)
contract = web3.contract(w3, interface['abi'], interface['bin'])
tx_hash, tx_receipt = web3.tx_generate(contract, w3)
psycellium = web3.contract_object(w3, tx_receipt.contractAddress,interface['abi'])
result = psycellium.functions.isCoopMember(userid).call()
print(w3.eth.waitForTransactionReceipt(tx_hash))
print(result)
def setBoardOfDirectors(directors, coopid):
w3 = web3.init()
w3.eth.defaultAccount = w3.eth.accounts[0]
interface = web3.compile(ETH_DIR,contract_file,contract_name)
contract = web3.contract(w3, interface['abi'], interface['bin'])
tx_hash, tx_receipt = web3.tx_generate(contract, w3)
psycellium = web3.contract_object(w3, tx_receipt.contractAddress,interface['abi'])
psycellium.functions.setBoardOfDirectors(directors,coopid).transact()
print(w3.eth.waitForTransactionReceipt(tx_hash))
def getBoardOfDirectors(coopid):
w3 = web3.init()
w3.eth.defaultAccount = w3.eth.accounts[0]
interface = web3.compile(ETH_DIR,contract_file,contract_name)
contract = web3.contract(w3, interface['abi'], interface['bin'])
tx_hash, tx_receipt = web3.tx_generate(contract, w3)
psycellium = web3.contract_object(w3, tx_receipt.contractAddress,interface['abi'])
result = psycellium.functions.getBoardOfDirectors(coopid).call()
print(w3.eth.waitForTransactionReceipt(tx_hash))
print(result)
| 39.695652
| 126
| 0.745674
| 537
| 4,565
| 6.199255
| 0.113594
| 0.036047
| 0.024031
| 0.028837
| 0.811054
| 0.783418
| 0.783418
| 0.75398
| 0.720937
| 0.704115
| 0
| 0.0565
| 0.123768
| 4,565
| 114
| 127
| 40.04386
| 0.77575
| 0
| 0
| 0.75
| 0
| 0
| 0.029231
| 0.006365
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.0125
| null | null | 0.15
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
8740c235ab37a958c29952cedb9ccc3a1462b41b
| 4,884
|
py
|
Python
|
seekr2/tests/test_runner_namd.py
|
seekrcentral/seekr2
|
45154d477147f9278b97491a6270ff31435c837b
|
[
"MIT"
] | 1
|
2021-07-14T16:13:17.000Z
|
2021-07-14T16:13:17.000Z
|
seekr2/tests/test_runner_namd.py
|
seekrcentral/seekr2
|
45154d477147f9278b97491a6270ff31435c837b
|
[
"MIT"
] | 10
|
2021-05-26T15:29:46.000Z
|
2021-09-20T18:23:20.000Z
|
seekr2/tests/test_runner_namd.py
|
seekrcentral/seekr2
|
45154d477147f9278b97491a6270ff31435c837b
|
[
"MIT"
] | 1
|
2021-05-22T01:15:46.000Z
|
2021-05-22T01:15:46.000Z
|
"""
test_runner_namd.py
test runner_namd.py script(s)
"""
import os
import pytest
import glob
import re
import seekr2.modules.common_base as base
import seekr2.modules.mmvt_base as mmvt_base
import seekr2.modules.common_sim_namd as sim_namd
import seekr2.modules.mmvt_sim_namd as mmvt_sim_namd
import seekr2.modules.runner_namd as runner_namd
import seekr2.tests.make_test_model as make_test_model
def test_Runner_namd_default(host_guest_mmvt_model):
host_guest_mmvt_model.calculation_settings.num_production_steps = 10
host_guest_mmvt_model.namd_settings = base.Namd_settings()
myanchor = host_guest_mmvt_model.anchors[1]
namd_command = "namd2"
namd_arguments = ""
runner = runner_namd.Runner_namd(
host_guest_mmvt_model, myanchor, namd_command, namd_arguments)
default_output_file, output_basename, state_file_prefix, restart_index = \
runner.prepare()
mmvt_output_filename = os.path.join(
host_guest_mmvt_model.anchor_rootdir, myanchor.name, "prod",
"%s%d" % (mmvt_base.NAMDMMVT_BASENAME, 1))
my_sim_namd = mmvt_sim_namd.create_sim_namd(
host_guest_mmvt_model, myanchor, mmvt_output_filename)
my_sim_namd.namd_root.periodic_boundary_conditions.PMEGridSpacing = None
runner.run(my_sim_namd, mmvt_output_filename+".out")
myglob = mmvt_output_filename+".out*"
outfiles = glob.glob(myglob)
outfile = outfiles[0]
assert os.path.exists(outfile)
return
def test_Runner_namd_load_state(host_guest_mmvt_model):
host_guest_mmvt_model.calculation_settings.num_production_steps = 10
host_guest_mmvt_model.namd_settings = base.Namd_settings()
myanchor = host_guest_mmvt_model.anchors[1]
namd_command = "namd2"
namd_arguments = ""
runner = runner_namd.Runner_namd(
host_guest_mmvt_model, myanchor, namd_command, namd_arguments)
default_output_file, output_basename, state_file_prefix, restart_index = \
runner.prepare()
mmvt_output_filename = os.path.join(
host_guest_mmvt_model.anchor_rootdir, myanchor.name, "prod",
"%s%d" % (mmvt_base.NAMDMMVT_BASENAME, 1))
loading_state_filename = os.path.join(host_guest_mmvt_model.anchor_rootdir,
"start.state")
my_sim_namd = mmvt_sim_namd.create_sim_namd(
host_guest_mmvt_model, myanchor, mmvt_output_filename)
my_sim_namd.namd_root.periodic_boundary_conditions.PMEGridSpacing = None
runner.run(my_sim_namd, mmvt_output_filename+".out")
myglob = mmvt_output_filename+".out*"
outfiles = glob.glob(myglob)
outfile = outfiles[0]
assert os.path.exists(outfile)
return
def test_Runner_namd_save_states(host_guest_mmvt_model):
host_guest_mmvt_model.calculation_settings.num_production_steps = 10
host_guest_mmvt_model.namd_settings = base.Namd_settings()
myanchor = host_guest_mmvt_model.anchors[1]
namd_command = "namd2"
namd_arguments = ""
runner = runner_namd.Runner_namd(
host_guest_mmvt_model, myanchor, namd_command, namd_arguments)
default_output_file, output_basename, state_file_prefix, restart_index = \
runner.prepare(force_overwrite=True, save_state_file=True)
mmvt_output_filename = os.path.join(
host_guest_mmvt_model.anchor_rootdir, myanchor.name, "prod",
"%s%d" % (mmvt_base.NAMDMMVT_BASENAME, 1))
my_sim_namd = mmvt_sim_namd.create_sim_namd(
host_guest_mmvt_model, myanchor, mmvt_output_filename)
my_sim_namd.namd_root.periodic_boundary_conditions.PMEGridSpacing = None
runner.run(my_sim_namd, mmvt_output_filename+".out")
myglob = mmvt_output_filename+".out*"
outfiles = glob.glob(myglob)
outfile = outfiles[0]
assert os.path.exists(outfile)
return
def test_Runner_namd_save_states_until_all_bounds(host_guest_mmvt_model):
host_guest_mmvt_model.calculation_settings.num_production_steps = 10
host_guest_mmvt_model.namd_settings = base.Namd_settings()
myanchor = host_guest_mmvt_model.anchors[1]
namd_command = "namd2"
namd_arguments = ""
runner = runner_namd.Runner_namd(
host_guest_mmvt_model, myanchor, namd_command, namd_arguments)
default_output_file, output_basename, state_file_prefix, restart_index = \
runner.prepare(force_overwrite=True, save_state_boundaries=True)
mmvt_output_filename = os.path.join(
host_guest_mmvt_model.anchor_rootdir, myanchor.name, "prod",
"%s%d" % (mmvt_base.NAMDMMVT_BASENAME, 1))
my_sim_namd = mmvt_sim_namd.create_sim_namd(
host_guest_mmvt_model, myanchor, mmvt_output_filename)
my_sim_namd.namd_root.periodic_boundary_conditions.PMEGridSpacing = None
runner.run(my_sim_namd, mmvt_output_filename+".out")
myglob = mmvt_output_filename+".out*"
outfiles = glob.glob(myglob)
outfile = outfiles[0]
assert os.path.exists(outfile)
return
| 44
| 80
| 0.7586
| 672
| 4,884
| 5.071429
| 0.123512
| 0.076585
| 0.110622
| 0.153169
| 0.8973
| 0.882042
| 0.882042
| 0.882042
| 0.882042
| 0.882042
| 0
| 0.007297
| 0.158272
| 4,884
| 111
| 81
| 44
| 0.821698
| 0.010238
| 0
| 0.82
| 0
| 0
| 0.02051
| 0
| 0
| 0
| 0
| 0
| 0.04
| 1
| 0.04
| false
| 0
| 0.1
| 0
| 0.18
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
87551a19d18c033111d6b47a06ccc05e2ab9a537
| 46
|
py
|
Python
|
test/declare.py
|
CHUNHUNGFAN/Course_Social_Network_Novel
|
fe85ffe6ba7213e4b5a7878554184f1728899694
|
[
"MIT"
] | null | null | null |
test/declare.py
|
CHUNHUNGFAN/Course_Social_Network_Novel
|
fe85ffe6ba7213e4b5a7878554184f1728899694
|
[
"MIT"
] | 5
|
2021-03-10T12:17:57.000Z
|
2022-02-27T01:52:58.000Z
|
test/declare.py
|
CHUNHUNGFAN/Course_Social_Network_Novel
|
fe85ffe6ba7213e4b5a7878554184f1728899694
|
[
"MIT"
] | null | null | null |
#%%
a = [[0]]*8
print(a)
print(a[0][0])
# %%
| 6.571429
| 14
| 0.369565
| 9
| 46
| 1.888889
| 0.444444
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 0.195652
| 46
| 6
| 15
| 7.666667
| 0.351351
| 0.108696
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 1
| 1
| 1
| null | 1
| 0
| 0
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| 0
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| null | 0
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| 0
| 0
| 1
|
0
| 7
|
5e5ac8b1a17b7b85f7f4ebb35211b5ea669d5cfc
| 7,649
|
py
|
Python
|
zun_ui/api/DB.py
|
JunyouLiu/zun-ui
|
d72976ecd108375fe03df4edf3041355c3e65823
|
[
"Apache-2.0"
] | null | null | null |
zun_ui/api/DB.py
|
JunyouLiu/zun-ui
|
d72976ecd108375fe03df4edf3041355c3e65823
|
[
"Apache-2.0"
] | null | null | null |
zun_ui/api/DB.py
|
JunyouLiu/zun-ui
|
d72976ecd108375fe03df4edf3041355c3e65823
|
[
"Apache-2.0"
] | null | null | null |
import MySQLdb
import json
from zun_ui.api import k8s_client
from kubernetes import client, config
def create_connect_tomysql_DB():
# config database info
db = MySQLdb.connect("10.10.87.62", "root", "fudan_Nisl2019@", "hadoop", charset='utf8')
# return a database connection
return db
def read_hadoop_info_from_id(id):
db = create_connect_tomysql_DB()
conn = db.cursor()
# load k8s config-file
k8s_client.load_k8s_config()
# create an instance of API class
api_instance = client.AppsV1Api()
deployment_result_set = api_instance.list_deployment_for_all_namespaces()
# str_id = str(id)
for item_deployment in deployment_result_set.items:
if item_deployment.metadata.uid == str(id):
name = item_deployment.metadata.name
namespace = item_deployment.metadata.namespace
break
# print name, namespace
metadata = {}
try:
select_hadoop_info_sql = "SELECT * FROM hadoop_cluster WHERE cluster_name = '" + name + "' AND namespace = '" + \
namespace + "'"
conn.execute(select_hadoop_info_sql)
results_set = conn.fetchall()
for row in results_set:
metadata['cluster_name'] = row[0]
metadata['namespace'] = row[7]
metadata['create_time'] = row[3]
metadata['number_of_nodes'] = row[1]
metadata['available_number'] = row[2]
metadata['cluster_status'] = row[6]
metadata['master_node_id'] = row[4]
metadata['slave_node_id'] = row[5]
break
# print json.dumps(metadata)
except Exception as e:
print "select hadoop_cluster info from database --- exception info: "
print e
# print metadata
master_node_id = metadata['master_node_id']
select_master_node_info_sql = "SELECT * FROM hadoop_nodes WHERE container_id = '" + master_node_id + "'"
conn.execute(select_master_node_info_sql)
results_set2 = conn.fetchall()
hadoop_master_node = {}
for row in results_set2:
hadoop_master_node['container_id'] = row[3]
hadoop_master_node['name'] = row[1]
hadoop_master_node['namespace'] = row[0]
hadoop_master_node['ip'] = row[4]
hadoop_master_node['status'] = row[5]
break
# print json.dumps(hadoop_master_node)
slave_node_id = metadata['slave_node_id']
slave_node_id_str = str(slave_node_id)
slave_node_ids = slave_node_id_str.split('@-@')
# print slave_node_ids
lens = len(slave_node_ids)
ids = ""
for i in range(0, lens):
ids = ids + '\'' + slave_node_ids[i] + '\''
if i<lens-1:
ids = ids + ','
select_slave_node_info_sql = "SELECT * FROM hadoop_nodes WHERE container_id in ("
select_slave_node_info_sql += ids
select_slave_node_info_sql += ')'
conn.execute(select_slave_node_info_sql)
results_set3 = conn.fetchall()
hadoop_slave_node = []
for row in results_set3:
# print row
hadoop_slave_node_item = {}
hadoop_slave_node_item['container_id'] = row[3]
hadoop_slave_node_item['name'] = row[1]
hadoop_slave_node_item['namespace'] = row[0]
hadoop_slave_node_item['ip'] = row[4]
hadoop_slave_node_item['status'] = row[5]
hadoop_slave_node.append(hadoop_slave_node_item)
# print json.dumps(hadoop_slave_node)
hadoop_cluster_info = {}
hadoop_cluster_info['metadata'] = metadata
hadoop_cluster_info['hadoop_master_node'] = hadoop_master_node
hadoop_cluster_info['hadoop_slave_node'] = hadoop_slave_node
hadoop_cluster_info_to_dict = {}
hadoop_cluster_info_to_dict['hadoop_cluster_info'] = hadoop_cluster_info
hadoop_cluster_info_to_dict['id'] = id
# close database connection
db.close()
# print json.dumps(hadoop_cluster_info_to_dict)
return hadoop_cluster_info_to_dict
# qh
def read_hadoop_info_from_clustername(clustername):
db = create_connect_tomysql_DB()
conn = db.cursor()
name = clustername
try:
select_hadoop_info_sql = 'SELECT * FROM hadoop_cluster WHERE cluster_name = "' + name + '"'
conn.execute(select_hadoop_info_sql)
results_set = conn.fetchall()
metadata = {}
for row in results_set:
metadata['cluster_name'] = row[0]
metadata['namespace'] = row[7]
metadata['create_time'] = row[3]
metadata['number_of_nodes '] = row[1]
metadata['available_number'] = row[2]
metadata['cluster_status'] = row[6]
metadata['master_node_id'] = row[4]
metadata['slave_node_id'] = row[5]
break
# print json.dumps(metadata)
except Exception as e:
print 'read_hadoop_info_from_clustername --- exception info: '
print e
print metadata
master_node_id = metadata['master_node_id']
select_master_node_info_sql = "SELECT * FROM hadoop_nodes WHERE container_id = '" + master_node_id + "'"
conn.execute(select_master_node_info_sql)
results_set2 = conn.fetchall()
hadoop_master_node = {}
for row in results_set2:
hadoop_master_node['container_id'] = row[3]
hadoop_master_node['name'] = row[1]
hadoop_master_node['namespace'] = row[0]
hadoop_master_node['ip'] = row[4]
hadoop_master_node['status'] = row[5]
break
# print json.dumps(hadoop_master_node)
slave_node_id = metadata['slave_node_id']
slave_node_id_str = str(slave_node_id)
slave_node_ids = slave_node_id_str.split('@-@')
# print slave_node_ids
lens = len(slave_node_ids)
ids = ""
for i in range(0, lens):
ids = ids + '\'' + slave_node_ids[i] + '\''
if i < lens - 1:
ids = ids + ','
select_slave_node_info_sql = 'SELECT * FROM hadoop_nodes WHERE container_id in ('
select_slave_node_info_sql += ids
select_slave_node_info_sql += ')'
conn.execute(select_slave_node_info_sql)
results_set3 = conn.fetchall()
hadoop_slave_node = []
for row in results_set3:
# print row
hadoop_slave_node_item = {}
hadoop_slave_node_item['container_id'] = row[3]
hadoop_slave_node_item['name'] = row[1]
hadoop_slave_node_item['namespace'] = row[0]
hadoop_slave_node_item['ip'] = row[4]
hadoop_slave_node_item['status'] = row[5]
hadoop_slave_node.append(hadoop_slave_node_item)
# print json.dumps(hadoop_slave_node)
hadoop_cluster_info = {}
hadoop_cluster_info['metadata'] = metadata
hadoop_cluster_info['hadoop_master_node'] = hadoop_master_node
hadoop_cluster_info['hadoop_slave_node'] = hadoop_slave_node
hadoop_cluster_info_to_dict = {}
hadoop_cluster_info_to_dict['hadoop_cluster_info'] = hadoop_cluster_info
# json.dumps(hadoop_cluster_info_to_dict)
db.close()
return hadoop_cluster_info_to_dict
def get_master_details_from_clustername(clustername):
clusterdetail = read_hadoop_info_from_clustername(clustername)
masterdetails = clusterdetail['hadoop_cluster_info']['hadoop_master_node']
return masterdetails
def get_all_cluster():
db = create_connect_tomysql_DB()
conn = db.cursor()
select_hadoop_info_sql = 'SELECT cluster_name FROM hadoop_cluster'
conn.execute(select_hadoop_info_sql)
results_set = conn.fetchall()
clusterlist = []
for row in results_set:
row = "".join(tuple(row))
clusterlist.append(row)
return clusterlist
if __name__ == '__main__':
s = 'hadoop-cluster'
print get_master_details_from_clustername(s)
| 35.576744
| 121
| 0.666362
| 993
| 7,649
| 4.730111
| 0.115811
| 0.099638
| 0.076645
| 0.056632
| 0.809879
| 0.774963
| 0.734937
| 0.721311
| 0.698318
| 0.698318
| 0
| 0.011232
| 0.231795
| 7,649
| 215
| 122
| 35.576744
| 0.788121
| 0.069682
| 0
| 0.763636
| 0
| 0
| 0.163073
| 0.004651
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.024242
| null | null | 0.036364
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
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| 0
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| 1
| 0
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| 0
| 0
| null | 0
| 0
| 0
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| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
5e93e9146c97fbbd7f6ac68739e5ba62dfa2a682
| 4,284
|
py
|
Python
|
capacity.py
|
pritam19798/BPCS-Steganography
|
3e0025f34bc42d4c5de1a84177a130ff33d3e35e
|
[
"MIT"
] | null | null | null |
capacity.py
|
pritam19798/BPCS-Steganography
|
3e0025f34bc42d4c5de1a84177a130ff33d3e35e
|
[
"MIT"
] | null | null | null |
capacity.py
|
pritam19798/BPCS-Steganography
|
3e0025f34bc42d4c5de1a84177a130ff33d3e35e
|
[
"MIT"
] | null | null | null |
Python 3.6.8 (tags/v3.6.8:3c6b436a57, Dec 24 2018, 00:16:47) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>>
============== RESTART: D:\project2\BPCS-Steganography\test.py ==============
D:\project2\KODAK\kodim01.png
[601747.0]
D:\project2\KODAK\kodim02.png
[601747.0, 438472.0]
D:\project2\KODAK\kodim03.png
[601747.0, 438472.0, 355968.0]
D:\project2\KODAK\kodim04.png
[601747.0, 438472.0, 355968.0, 451382.0]
D:\project2\KODAK\kodim05.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0]
D:\project2\KODAK\kodim06.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0]
D:\project2\KODAK\kodim07.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0]
D:\project2\KODAK\kodim08.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0]
D:\project2\KODAK\kodim09.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0]
D:\project2\KODAK\kodim10.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0]
D:\project2\KODAK\kodim11.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0]
D:\project2\KODAK\kodim12.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0]
D:\project2\KODAK\kodim13.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0]
D:\project2\KODAK\kodim14.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0]
D:\project2\KODAK\kodim15.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0]
D:\project2\KODAK\kodim16.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0]
D:\project2\KODAK\kodim17.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0]
D:\project2\KODAK\kodim18.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0, 566920.0]
D:\project2\KODAK\kodim19.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0, 566920.0, 502351.0]
D:\project2\KODAK\kodim20.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0, 566920.0, 502351.0, 333021.0]
D:\project2\KODAK\kodim21.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0, 566920.0, 502351.0, 333021.0, 508672.0]
D:\project2\KODAK\kodim22.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0, 566920.0, 502351.0, 333021.0, 508672.0, 505533.0]
D:\project2\KODAK\kodim23.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0, 566920.0, 502351.0, 333021.0, 508672.0, 505533.0, 364730.0]
D:\project2\KODAK\kodim24.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0, 566920.0, 502351.0, 333021.0, 508672.0, 505533.0, 364730.0, 479822.0]
D:\project2\KODAK\kodim25.png
[601747.0, 438472.0, 355968.0, 451382.0, 573580.0, 522028.0, 391636.0, 612568.0, 440697.0, 434260.0, 486367.0, 412984.0, 685836.0, 543456.0, 410594.0, 453823.0, 438710.0, 566920.0, 502351.0, 333021.0, 508672.0, 505533.0, 364730.0, 479822.0, 494445.0]
>>>
| 76.5
| 250
| 0.70775
| 814
| 4,284
| 3.724816
| 0.110565
| 0.077177
| 0.115435
| 0.118734
| 0.769459
| 0.763852
| 0.763852
| 0.755937
| 0.755937
| 0.745712
| 0
| 0.611325
| 0.088936
| 4,284
| 55
| 251
| 77.890909
| 0.165514
| 0
| 0
| 0.036364
| 0
| 0
| 0.006769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
5eb975846f55fd37b93a382699859d18d4f56b4f
| 2,102
|
py
|
Python
|
cms/test_utils/project/placeholderapp/models.py
|
datakortet/django-cms
|
81f854cff8b23a51a98eee68528526fa854521ed
|
[
"BSD-3-Clause"
] | null | null | null |
cms/test_utils/project/placeholderapp/models.py
|
datakortet/django-cms
|
81f854cff8b23a51a98eee68528526fa854521ed
|
[
"BSD-3-Clause"
] | 1
|
2020-06-28T05:57:03.000Z
|
2020-06-28T05:57:03.000Z
|
cms/test_utils/project/placeholderapp/models.py
|
datakortet/django-cms
|
81f854cff8b23a51a98eee68528526fa854521ed
|
[
"BSD-3-Clause"
] | null | null | null |
from django.db import models
from cms.models.fields import PlaceholderField
from hvad.models import TranslatableModel, TranslatedFields
class Example1(models.Model):
char_1 = models.CharField(u'char_1', max_length=255)
char_2 = models.CharField(u'char_2', max_length=255)
char_3 = models.CharField(u'char_3', max_length=255)
char_4 = models.CharField(u'char_4', max_length=255)
placeholder = PlaceholderField('placeholder')
class Example2(models.Model):
char_1 = models.CharField(u'char_1', max_length=255)
char_2 = models.CharField(u'char_2', max_length=255)
char_3 = models.CharField(u'char_3', max_length=255)
char_4 = models.CharField(u'char_4', max_length=255)
placeholder = PlaceholderField('placeholder')
class Example3(models.Model):
char_1 = models.CharField(u'char_1', max_length=255)
char_2 = models.CharField(u'char_2', max_length=255)
char_3 = models.CharField(u'char_3', max_length=255)
char_4 = models.CharField(u'char_4', max_length=255)
placeholder = PlaceholderField('placeholder')
class Example4(models.Model):
char_1 = models.CharField(u'char_1', max_length=255)
char_2 = models.CharField(u'char_2', max_length=255)
char_3 = models.CharField(u'char_3', max_length=255)
char_4 = models.CharField(u'char_4', max_length=255)
placeholder = PlaceholderField('placeholder')
class Example5(models.Model):
char_1 = models.CharField(u'char_1', max_length=255)
char_2 = models.CharField(u'char_2', max_length=255)
char_3 = models.CharField(u'char_3', max_length=255)
char_4 = models.CharField(u'char_4', max_length=255)
placeholder_1 = PlaceholderField('placeholder_1', related_name='p1')
placeholder_2 = PlaceholderField('placeholder_2', related_name='p2')
class MultilingualExample1(TranslatableModel):
translations = TranslatedFields(
char_1=models.CharField(u'char_1', max_length=255),
char_2=models.CharField(u'char_2', max_length=255),
)
placeholder_1 = PlaceholderField('placeholder_1')
def __unicode__(self):
return self.char_1
| 38.218182
| 72
| 0.737393
| 302
| 2,102
| 4.870861
| 0.129139
| 0.224337
| 0.239293
| 0.299116
| 0.777022
| 0.777022
| 0.777022
| 0.777022
| 0.730116
| 0.730116
| 0
| 0.069214
| 0.140818
| 2,102
| 55
| 73
| 38.218182
| 0.745293
| 0
| 0
| 0.571429
| 0
| 0
| 0.104137
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.02381
| false
| 0
| 0.071429
| 0.02381
| 0.928571
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 9
|
0d5d4886619779fa385c6f75ca74932719d6a5d9
| 17,961
|
py
|
Python
|
src/datasets.py
|
alwc/ReZero-ResNet
|
ab7c1c174cbf079d56a9588ce90a5c46aeadcf6c
|
[
"MIT"
] | 23
|
2020-03-17T22:29:04.000Z
|
2021-09-25T04:19:42.000Z
|
src/datasets.py
|
alwc/ReZero-ResNet
|
ab7c1c174cbf079d56a9588ce90a5c46aeadcf6c
|
[
"MIT"
] | 1
|
2020-03-31T08:27:57.000Z
|
2020-10-16T15:14:25.000Z
|
src/datasets.py
|
fabio-deep/ReZero-ResNet
|
42e6f2f1c839e0b83359f44690fc026334ca500c
|
[
"MIT"
] | 3
|
2020-03-17T16:36:41.000Z
|
2020-03-24T02:01:39.000Z
|
# -*- coding: utf-8 -*-
"""
Loading of various datasets.
"""
import os
import numpy as np
import torch
from torch.utils.data import DataLoader, WeightedRandomSampler
from torch.utils.data.distributed import DistributedSampler
import torchvision
from torchvision import transforms
from torchvision.datasets import CIFAR10, MNIST, SVHN, FashionMNIST
from utils import *
def get_dataloaders(args):
""" Gets the dataloaders for the chosen dataset.
"""
if args.dataset == 'cifar10':
dataset = 'CIFAR10'
working_dir = os.path.join(os.path.split(os.getcwd())[0], 'data', dataset)
dataset_paths = {'train': os.path.join(working_dir, 'train'),
'test': os.path.join(working_dir, 'test')}
dataloaders = cifar10(args, dataset_paths)
args.class_names = (
'plane', 'car', 'bird', 'cat',
'deer', 'dog', 'frog', 'horse', 'ship', 'truck'
) # 0,1,2,3,4,5,6,7,8,9 labels
args.n_channels, args.n_classes = 3, 10
elif args.dataset == 'svhn':
dataset = 'SVHN'
working_dir = os.path.join(os.path.split(os.getcwd())[0], 'data', dataset)
dataset_paths = {'train': os.path.join(working_dir, 'train'),
# 'extra': os.path.join(working_dir,'extra'),
'test': os.path.join(working_dir, 'test')}
dataloaders = svhn(args, dataset_paths)
args.class_names = (
'zero', 'one', 'two', 'three',
'four', 'five', 'six', 'seven', 'eight', 'nine'
) # 0,1,2,3,4,5,6,7,8,9 labels
args.n_channels, args.n_classes = 3, 10
elif args.dataset == 'fashionmnist':
dataset = 'FashionMNIST'
working_dir = os.path.join(os.path.split(os.getcwd())[0], 'data', dataset)
dataset_paths = {'train': os.path.join(working_dir, 'train'),
'test': os.path.join(working_dir, 'test')}
dataloaders = fashionmnist(args, dataset_paths)
args.class_names = (
'tshirt', 'trouser', 'pullover', 'dress',
'coat', 'sandal', 'shirt', 'sneaker', 'bag', 'ankleboot'
) # 0,1,2,3,4,5,6,7,8,9 labels
args.n_channels, args.n_classes = 1, 10
elif args.dataset == 'mnist':
dataset = 'MNIST'
working_dir = os.path.join(os.path.split(os.getcwd())[0], 'data', dataset)
dataset_paths = {'train': os.path.join(working_dir, 'train'),
'test': os.path.join(working_dir, 'test')}
dataloaders = mnist(args, dataset_paths)
args.class_names = (
'zero', 'one', 'two', 'three', 'four',
'five', 'six', 'seven', 'eight', 'nine'
) # 0,1,2,3,4,5,6,7,8,9 labels
args.n_channels, args.n_classes = 1, 10
else:
NotImplementedError('{} dataset not available.'.format(args.dataset))
return dataloaders, args
def cifar10(args, dataset_paths):
""" Loads the CIFAR-10 dataset.
Returns: train/valid/test set split dataloaders.
"""
transf = {
'train': transforms.Compose([
transforms.RandomHorizontalFlip(0.5),
transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
transforms.ToTensor(),
# Standardize()]),
transforms.Normalize((0.49139968, 0.48215841, 0.44653091),
(0.24703223, 0.24348513, 0.26158784))]),
'test': transforms.Compose([
transforms.ToTensor(),
# Standardize()])}
transforms.Normalize((0.49139968, 0.48215841, 0.44653091),
(0.24703223, 0.24348513, 0.26158784))])
}
config = {'train': True, 'test': False}
datasets = {i: CIFAR10(root=dataset_paths[i], transform=transf[i],
train=config[i], download=True) for i in config.keys()}
# weighted sampler weights for full(f) training set
f_s_weights = sample_weights(datasets['train'].targets)
# return data, labels dicts for new train set and class-balanced valid set
data, labels = random_split(data=datasets['train'].data,
labels=datasets['train'].targets,
n_classes=10,
n_samples_per_class=np.repeat(500, 10).reshape(-1))
# define transforms for train set (without valid data)
transf['train_'] = transforms.Compose([
transforms.ToPILImage(),
transforms.RandomHorizontalFlip(0.5),
transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
transforms.ToTensor(),
# Standardize()])
transforms.Normalize((0.49139968, 0.48215841, 0.44653091),
(0.24703223, 0.24348513, 0.26158784))])
# define transforms for class-balanced valid set
transf['valid'] = transforms.Compose([
transforms.ToPILImage(),
transforms.ToTensor(),
# Standardize()])
transforms.Normalize((0.49139968, 0.48215841, 0.44653091),
(0.24703223, 0.24348513, 0.26158784))])
# save original full training set
datasets['train_valid'] = datasets['train']
# make new training set without validation samples
datasets['train'] = CustomDataset(data=data['train'],
labels=labels['train'], transform=transf['train_'])
# make class balanced validation set
datasets['valid'] = CustomDataset(data=data['valid'],
labels=labels['valid'], transform=transf['valid'])
# weighted sampler weights for new training set
s_weights = sample_weights(datasets['train'].labels)
config = {
'train': WeightedRandomSampler(s_weights,
num_samples=len(s_weights), replacement=True),
'train_valid': WeightedRandomSampler(f_s_weights,
num_samples=len(f_s_weights), replacement=True),
'valid': None, 'test': None
}
if args.distributed:
config = {'train': DistributedSampler(datasets['train']),
'train_valid': DistributedSampler(datasets['train_valid']),
'valid': None, 'test': None}
dataloaders = {i: DataLoader(datasets[i], sampler=config[i],
num_workers=8, pin_memory=True, drop_last=True,
batch_size=args.batch_size) for i in config.keys()}
return dataloaders
def svhn(args, dataset_paths):
''' Loads the SVHN dataset.
Returns: train/valid/test set split dataloaders.
'''
transf = {
'train': transforms.Compose([
# transforms.RandomApply([
# transforms.RandomAffine(30, shear=True)], p=0.5),
transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
transforms.ColorJitter(brightness=args.brightness, contrast=args.contrast),
transforms.ToTensor(),
# Standardize()]),
transforms.Normalize((0.4376821, 0.4437697, 0.47280442),
(0.19803012, 0.20101562, 0.19703614))]),
# 'extra': transforms.Compose([
# # transforms.RandomApply([
# # transforms.RandomAffine(30, shear=True)], p=0.5),
# transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
# transforms.ColorJitter(brightness=args.brightness, contrast=args.contrast),
# transforms.ToTensor(),
# # Standardize()]),
# transforms.Normalize((0.4379, 0.4441, 0.4734), (0.1202, 0.1232, 0.1054))]),
'test': transforms.Compose([
transforms.ToTensor(),
# Standardize()])}
transforms.Normalize((0.4376821, 0.4437697, 0.47280442),
(0.19803012, 0.20101562, 0.19703614))])
}
# config = {'train': True, 'extra': True, 'test': False}
config = {'train': True, 'test': False}
datasets = {i: SVHN(root=dataset_paths[i], transform=transf[i],
split=i, download=True) for i in config.keys()}
# weighted sampler weights for full(f) training set
f_s_weights = sample_weights(datasets['train'].labels)
# return data, labels dicts for new train set and class-balanced valid set
data, labels = random_split(data=datasets['train'].data,
labels=datasets['train'].labels,
n_classes=10,
n_samples_per_class=np.unique(
datasets['test'].labels, return_counts=True)[1] // 3) # fraction of test set per class
# define transforms for train set (without valid data)
transf['train_'] = transforms.Compose([
transforms.ToPILImage(),
# transforms.RandomApply([
# transforms.RandomAffine(30, shear=True)], p=0.5),
transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
transforms.ColorJitter(brightness=args.brightness, contrast=args.contrast),
transforms.ToTensor(),
# Standardize()])
transforms.Normalize((0.4376821, 0.4437697, 0.47280442),
(0.19803012, 0.20101562, 0.19703614))])
# define transforms for class-balanced valid set
transf['valid'] = transforms.Compose([
transforms.ToPILImage(),
transforms.ToTensor(),
# Standardize()])
transforms.Normalize((0.4376821, 0.4437697, 0.47280442),
(0.19803012, 0.20101562, 0.19703614))])
# save original full training set
datasets['train_valid'] = datasets['train']
# make channels last and convert to np arrays
data['train'] = np.moveaxis(np.array(data['train']), 1, -1)
data['valid'] = np.moveaxis(np.array(data['valid']), 1, -1)
# make new training set without validation samples
datasets['train'] = CustomDataset(data=data['train'],
labels=labels['train'], transform=transf['train_'])
# make class balanced validation set
datasets['valid'] = CustomDataset(data=data['valid'],
labels=labels['valid'], transform=transf['valid'])
# weighted sampler weights for new training set
s_weights = sample_weights(datasets['train'].labels)
config = {
'train': WeightedRandomSampler(s_weights,
num_samples=len(s_weights), replacement=True),
'train_valid': WeightedRandomSampler(f_s_weights,
num_samples=len(f_s_weights), replacement=True),
'valid': None, 'test': None}
if args.distributed:
config = {'train': DistributedSampler(datasets['train']),
'train_valid': DistributedSampler(datasets['train_valid']),
'valid': None, 'test': None}
dataloaders = {i: DataLoader(datasets[i], sampler=config[i],
num_workers=8, pin_memory=True, drop_last=True,
batch_size=args.batch_size) for i in config.keys()}
return dataloaders
def fashionmnist(args, dataset_paths):
''' Loads the Fashion-MNIST dataset.
Returns: train/valid/test set split dataloaders.
'''
transf = {
'train': transforms.Compose([
transforms.RandomHorizontalFlip(p=0.5),
transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
transforms.ToTensor(),
# Standardize()]),
transforms.Normalize((0.28604059,), (0.35302424,))]),
'test': transforms.Compose([
# transforms.Grayscale(num_output_channels=3),
transforms.Pad(np.maximum(0, (args.crop_dim-28) // 2)),
# transforms.CenterCrop((args.crop_dim, args.crop_dim)),
transforms.ToTensor(),
# Standardize()])}
transforms.Normalize((0.28604059,), (0.35302424,))])
}
config = {'train': True, 'test': False}
datasets = {i: FashionMNIST(root=dataset_paths[i], transform=transf[i],
train=config[i], download=True) for i in config.keys()}
# weighted sampler weights for full(f) training set
f_s_weights = sample_weights(datasets['train'].targets)
# return data, labels dicts for new train set and class-balanced valid set
data, labels = random_split(data=datasets['train'].data,
labels=datasets['train'].targets,
n_classes=10,
n_samples_per_class=np.unique(
datasets['test'].targets, return_counts=True)[1] // 2) # half of test set per class
# define transforms for train set (without valid data)
transf['train_'] = transforms.Compose([
transforms.ToPILImage(),
transforms.RandomHorizontalFlip(p=0.5),
transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
transforms.ToTensor(),
# Standardize()])
transforms.Normalize((0.28604059,), (0.35302424,))])
# define transforms for class-balanced valid set
transf['valid'] = transforms.Compose([
transforms.ToPILImage(),
transforms.Pad(np.maximum(0, (args.crop_dim-28) // 2)),
transforms.ToTensor(),
# Standardize()])
transforms.Normalize((0.28604059,), (0.35302424,))])
# save original full training set
datasets['train_valid'] = datasets['train']
# make new training set without validation samples
datasets['train'] = CustomDataset(data=data['train'],
labels=labels['train'], transform=transf['train_'])
# make class balanced validation set
datasets['valid'] = CustomDataset(data=data['valid'],
labels=labels['valid'], transform=transf['valid'])
# weighted sampler weights for new training set
s_weights = sample_weights(datasets['train'].labels)
config = {
'train': WeightedRandomSampler(s_weights,
num_samples=len(s_weights), replacement=True),
'train_valid': WeightedRandomSampler(f_s_weights,
num_samples=len(f_s_weights), replacement=True),
'valid': None, 'test': None}
if args.distributed:
config = {'train': DistributedSampler(datasets['train']),
'train_valid': DistributedSampler(datasets['train_valid']),
'valid': None, 'test': None}
dataloaders = {i: DataLoader(datasets[i], sampler=config[i],
num_workers=8, pin_memory=True, drop_last=True,
batch_size=args.batch_size) for i in config.keys()}
return dataloaders
def mnist(args, dataset_paths):
''' Loads the MNIST dataset.
Returns: train/valid/test set split dataloaders.
'''
transf = {
'train': transforms.Compose([
transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
transforms.ToTensor(),
transforms.Normalize((0.13066047,), (0.30810780,))
]),
'test': transforms.Compose([
transforms.Pad(np.maximum(0, (args.crop_dim-28) // 2)),
transforms.ToTensor(),
transforms.Normalize((0.13066047,), (0.30810780,))])
}
config = {'train': True, 'test': False}
datasets = {i: MNIST(root=dataset_paths[i], transform=transf[i],
train=config[i], download=True) for i in config.keys()}
# split train into train and class-balanced valid set
data, labels = random_split(data=datasets['train'].data,
labels=datasets['train'].targets,
n_classes=10,
n_samples_per_class=np.repeat(500, 10)) # 500 per class
# define transforms for train set (without valid data)
transf['train_'] = transforms.Compose([
transforms.ToPILImage(),
transforms.RandomCrop((args.crop_dim, args.crop_dim), padding=args.padding),
transforms.ToTensor(),
transforms.Normalize((0.13066047,), (0.30810780,))])
# define transforms for class-balanced valid set
transf['valid'] = transforms.Compose([
transforms.ToPILImage(),
transforms.Pad(np.maximum(0, (args.crop_dim-28) // 2)),
transforms.ToTensor(),
transforms.Normalize((0.13066047,), (0.30810780,))])
# save original full training set
datasets['train_valid'] = datasets['train']
# make new training set without validation samples
datasets['train'] = CustomDataset(data=data['train'],
labels=labels['train'], transform=transf['train_'])
# make class balanced validation set
datasets['valid'] = CustomDataset(data=data['valid'],
labels=labels['valid'], transform=transf['valid'])
if args.distributed:
config = {'train': DistributedSampler(datasets['train']),
'train_valid': DistributedSampler(datasets['train_valid']),
'valid': None, 'test': None}
dataloaders = {i: DataLoader(datasets[i], sampler=config[i],
num_workers=8, pin_memory=True, drop_last=True,
batch_size=args.batch_size) for i in config.keys()}
else:
config = {'train': True, 'train_valid': True,
'valid': False, 'test': False}
dataloaders = {i: DataLoader(datasets[i], shuffle=config[i],
num_workers=8, pin_memory=True, drop_last=True,
batch_size=args.batch_size) for i in config.keys()}
return dataloaders
| 42.561611
| 95
| 0.580424
| 1,907
| 17,961
| 5.373361
| 0.109596
| 0.043135
| 0.025764
| 0.049478
| 0.888553
| 0.870108
| 0.862106
| 0.845418
| 0.841612
| 0.826388
| 0
| 0.057665
| 0.284561
| 17,961
| 421
| 96
| 42.662708
| 0.739767
| 0.168031
| 0
| 0.749064
| 0
| 0
| 0.07138
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.018727
| false
| 0
| 0.033708
| 0
| 0.071161
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
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| null | 0
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| 0
|
0
| 7
|
0db63d97d9d1f36fe1f5721c81b5ac342397d451
| 22,257
|
py
|
Python
|
b3j0f/aop/advice/test/core.py
|
b3j0f/aop
|
22b9ba335d103edd929c25eb6dbb94037d3615bc
|
[
"MIT"
] | 6
|
2015-03-17T12:42:32.000Z
|
2020-04-19T04:03:54.000Z
|
b3j0f/aop/advice/test/core.py
|
b3j0f/aop
|
22b9ba335d103edd929c25eb6dbb94037d3615bc
|
[
"MIT"
] | 3
|
2016-01-25T13:13:29.000Z
|
2020-04-19T21:23:17.000Z
|
b3j0f/aop/advice/test/core.py
|
b3j0f/aop
|
22b9ba335d103edd929c25eb6dbb94037d3615bc
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# --------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2014 Jonathan Labéjof <jonathan.labejof@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# --------------------------------------------------------------------
from unittest import main
from six import PY2
from b3j0f.utils.ut import UTCase
from ..core import weave, unweave, weave_on
from time import sleep
class WeaveTest(UTCase):
def setUp(self):
self.count = 0
def joinpoint(self, joinpoint):
"""
Default interceptor which increments self count
"""
self.count += 1
return joinpoint.proceed()
def test_builtin(self):
weave(target=min, advices=[self.joinpoint, self.joinpoint])
weave(target=min, advices=self.joinpoint)
min(5, 2)
self.assertEqual(self.count, 3)
unweave(min)
min(5, 2)
self.assertEqual(self.count, 3)
def test_method(self):
class A():
def __init__(self):
pass
def a(self):
pass
weave(target=A.a, advices=[self.joinpoint, self.joinpoint], ctx=A)
weave(target=A, advices=self.joinpoint, pointcut='__init__', ctx=A)
weave(target=A.__init__, advices=self.joinpoint, ctx=A)
a = A()
a.a()
self.assertEqual(self.count, 4)
unweave(A.a, ctx=A)
unweave(A, ctx=A)
A()
a.a()
self.assertEqual(self.count, 4)
def test_function(self):
def f():
pass
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
f()
self.assertEqual(self.count, 3)
unweave(f)
f()
self.assertEqual(self.count, 3)
def test_lambda(self):
f = lambda: None
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
f()
self.assertEqual(self.count, 3)
unweave(f)
f()
self.assertEqual(self.count, 3)
def test_function_args(self):
def f(a):
pass
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
f(1)
self.assertEqual(self.count, 3)
unweave(f)
f(1)
self.assertEqual(self.count, 3)
def test_function_varargs(self):
def f(*args):
pass
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
f()
self.assertEqual(self.count, 3)
unweave(f)
f()
self.assertEqual(self.count, 3)
def test_function_args_varargs(self):
def f(a, **args):
pass
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
f(1)
self.assertEqual(self.count, 3)
unweave(f)
f(1)
self.assertEqual(self.count, 3)
def test_function_kwargs(self):
def f(**kwargs):
pass
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
f()
self.assertEqual(self.count, 3)
unweave(f)
f()
self.assertEqual(self.count, 3)
def test_function_args_kwargs(self):
def f(a, **args):
pass
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
f(1)
self.assertEqual(self.count, 3)
unweave(f)
f(1)
self.assertEqual(self.count, 3)
def test_function_args_varargs_kwargs(self):
def f(a, *args, **kwargs):
pass
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
f(1)
self.assertEqual(self.count, 3)
unweave(f)
f(1)
self.assertEqual(self.count, 3)
def _assert_class(self, cls):
"""
Run assertion tests on input cls
"""
weave(target=cls, advices=[self.joinpoint, self.joinpoint])
weave(target=cls, advices=self.joinpoint, pointcut='__init__')
weave(target=cls.B, advices=[self.joinpoint, self.joinpoint])
weave(target=cls.B, advices=self.joinpoint, pointcut='__init__')
weave(target=cls.C, advices=[self.joinpoint, self.joinpoint])
weave(target=cls.C, advices=self.joinpoint, pointcut='__init__')
cls()
self.assertEqual(self.count, 3)
cls.B()
self.assertEqual(self.count, 6)
cls.C()
self.assertEqual(self.count, 9)
unweave(cls)
cls()
self.assertEqual(self.count, 9)
unweave(cls.B)
cls.B()
self.assertEqual(self.count, 9)
unweave(cls.C)
cls.C()
self.assertEqual(self.count, 9)
def test_class(self):
class A(object):
class B(object):
def __init__(self):
pass
class C(object):
pass
def __init__(self):
pass
self._assert_class(A)
def test_namespace(self):
class A:
class B:
def __init__(self):
pass
class C:
pass
def __init__(self):
pass
self._assert_class(A)
def test_multi(self):
count = 5
f = lambda: None
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
for i in range(count):
f()
self.assertEqual(self.count, 3 * count)
unweave(f)
for i in range(count):
f()
self.assertEqual(self.count, 3 * count)
weave(target=f, advices=[self.joinpoint, self.joinpoint])
weave(target=f, advices=self.joinpoint)
for i in range(count):
f()
self.assertEqual(self.count, 6 * count)
unweave(f)
for i in range(count):
f()
self.assertEqual(self.count, 6 * count)
def test_ttl(self):
def test():
pass
weave(target=test, advices=self.joinpoint, ttl=0.1)
test()
self.assertEqual(self.count, 1)
sleep(0.2)
test()
self.assertEqual(self.count, 1)
def test_cancel_ttl(self):
def test():
pass
_, timer = weave(target=test, advices=self.joinpoint, ttl=0.1)
timer.cancel()
sleep(0.2)
test()
self.assertEqual(self.count, 1)
def test_inheritance(self):
class BaseTest:
def test(self):
pass
class Test(BaseTest):
pass
self.assertEqual(BaseTest.test, Test.test)
weave(ctx=Test, target=Test.test, advices=lambda x: None)
self.assertNotEqual(BaseTest.test, Test.test)
unweave(ctx=Test, target=Test.test)
self.assertEqual(BaseTest.test, Test.test)
def test_inherited_method(self):
self.count = 0
class BaseTest:
def __init__(self, testcase):
self.testcase = testcase
def test(self):
self.testcase.count += 1
class Test(BaseTest):
pass
basetest = BaseTest(self)
test = Test(self)
weave(ctx=Test, target=Test.test, advices=lambda x: None)
basetest.test()
self.assertEqual(self.count, 1)
test.test()
self.assertEqual(self.count, 1)
unweave(ctx=Test, target=Test.test)
basetest.test()
self.assertEqual(self.count, 2)
test.test()
self.assertEqual(self.count, 3)
def test_inherited_instance_method(self):
class BaseTest(object):
def test(self):
pass
self._test_inherited(BaseTest)
def test_inherited_instance_method_with_container(self):
class BaseTest:
def test(self):
pass
self._test_inherited(BaseTest)
def _test_inherited(self, BaseTest):
self.count = 0
class Test(BaseTest):
pass
def advice(jp):
self.count += 1
return jp.proceed()
self.old_count = 0
def assertCount(f, increment=0):
"""
Assert incrementation of count in executing.
"""
f()
self.old_count += increment
self.assertEqual(self.count, self.old_count)
test = Test()
test2 = Test()
basetest = BaseTest()
basetest2 = BaseTest()
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
weave(target=test.test, advices=advice, ctx=test)
assertCount(test.test, 1)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
unweave(target=test.test, ctx=test)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
weave(target=basetest.test, advices=advice, ctx=basetest)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test, 1)
assertCount(basetest2.test)
unweave(target=basetest.test, ctx=basetest)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
weave(target=BaseTest.test, advices=advice, ctx=BaseTest)
assertCount(test.test, 1)
assertCount(test2.test, 1)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
unweave(target=BaseTest.test, ctx=BaseTest)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
weave(target=Test.test, advices=advice, ctx=Test)
assertCount(test.test, 1)
assertCount(test2.test, 1)
assertCount(basetest.test)
assertCount(basetest2.test)
unweave(target=Test.test, ctx=Test)
# weave all
weave(target=BaseTest.test, advices=advice, ctx=BaseTest)
weave(target=Test.test, advices=advice, ctx=Test)
weave(target=test.test, advices=advice, ctx=test)
assertCount(test.test, 3)
assertCount(test2.test, 2)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove middle interceptor
unweave(target=Test.test, ctx=Test)
assertCount(test.test, 2)
assertCount(test2.test, 1)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove the first
unweave(target=BaseTest.test, ctx=BaseTest)
assertCount(test.test, 1)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
# remove the last
unweave(target=test.test, ctx=test)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
# weave all in opposite way
weave(target=test.test, advices=advice, ctx=test)
weave(target=Test.test, advices=advice, ctx=Test)
weave(target=BaseTest.test, advices=advice, ctx=BaseTest)
assertCount(test.test, 3)
assertCount(test2.test, 2)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove middle interceptor
unweave(target=Test.test, ctx=Test)
assertCount(test.test, 2)
assertCount(test2.test, 1)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove last
unweave(target=BaseTest.test, ctx=BaseTest)
assertCount(test.test, 1)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
# remove first
unweave(target=test.test, ctx=test)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
# weave all in random way
weave(target=Test.test, advices=advice, ctx=Test)
weave(target=test.test, advices=advice, ctx=test)
weave(target=BaseTest.test, advices=advice, ctx=BaseTest)
assertCount(test.test, 3)
assertCount(test2.test, 2)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove middle interceptor
unweave(target=Test.test, ctx=Test)
assertCount(test.test, 2)
assertCount(test2.test, 1)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove last
unweave(target=BaseTest.test, ctx=BaseTest)
assertCount(test.test, 1)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
# remove first
unweave(target=test.test, ctx=test)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
# weave all in random way
weave(target=Test.test, advices=advice, ctx=Test)
weave(target=test.test, advices=advice, ctx=test)
weave(target=BaseTest.test, advices=advice, ctx=BaseTest)
assertCount(test.test, 3)
assertCount(test2.test, 2)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove first interceptor
unweave(target=BaseTest.test, ctx=BaseTest)
assertCount(test.test, 2)
assertCount(test2.test, 1)
assertCount(basetest.test)
assertCount(basetest2.test)
# remove second
unweave(target=Test.test, ctx=Test)
assertCount(test.test, 1)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
# remove last
unweave(target=test.test, ctx=test)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
# weave all in random way
weave(target=Test.test, advices=advice, ctx=Test)
weave(target=test.test, advices=advice, ctx=test)
weave(target=BaseTest.test, advices=advice, ctx=BaseTest)
assertCount(test.test, 3)
assertCount(test2.test, 2)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove last interceptor
unweave(target=test.test, ctx=test)
assertCount(test.test, 2)
assertCount(test2.test, 2)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove second
unweave(target=Test.test, ctx=Test)
assertCount(test.test, 1)
assertCount(test2.test, 1)
assertCount(basetest.test, 1)
assertCount(basetest2.test, 1)
# remove first
unweave(target=BaseTest.test, ctx=BaseTest)
assertCount(test.test)
assertCount(test2.test)
assertCount(basetest.test)
assertCount(basetest2.test)
def test_instance_method(self):
class A:
def __call__(self):
return 1
a = A()
self.assertEqual(
a.__call__.__func__,
A.__call__.__func__ if PY2 else A.__call__
)
weave(target=a.__call__, advices=lambda ae: None, ctx=a)
self.assertNotEqual(
a.__call__.__func__,
A.__call__.__func__ if PY2 else A.__call__
)
result = a.__call__()
self.assertEqual(result, None)
unweave(target=a.__call__, ctx=a)
self.assertEqual(
a.__call__.__func__,
A.__call__.__func__ if PY2 else A.__call__
)
result = a()
self.assertEqual(result, 1)
def test_instance_method_with_pointcut(self):
class A:
def __call__(self):
return 1
a = A()
weave(target=a, advices=lambda ae: None)
result = a()
self.assertEqual(result, None)
unweave(target=a)
result = a()
self.assertEqual(result, 1)
class WeaveOnTest(UTCase):
def setUp(self):
self.count = 0
def advice(self, joinpoint):
"""
Default interceptor which increments self count
"""
self.count += 1
return joinpoint.proceed()
def test_builtin(self):
weave_on(advices=[self.advice, self.advice])(min)
weave_on(advices=self.advice)(min)
min(5, 2)
self.assertEqual(self.count, 3)
unweave(min)
min(5, 2)
self.assertEqual(self.count, 3)
def test_method(self):
@weave_on(advices=self.advice, pointcut='__init__')
class A():
@weave_on(advices=[self.advice, self.advice])
def __init__(self):
pass
@weave_on(advices=[self.advice, self.advice, self.advice])
def a(self):
pass
a = A()
a.a()
self.assertEqual(self.count, 6)
def test_function(self):
@weave_on(self.advice)
@weave_on([self.advice, self.advice])
def f():
pass
f()
self.assertEqual(self.count, 3)
def test_lambda(self):
f = lambda: None
weave_on(self.advice)(f)
weave_on([self.advice, self.advice])(f)
f()
self.assertEqual(self.count, 3)
def test_function_args(self):
@weave_on(self.advice)
@weave_on([self.advice, self.advice])
def f(a):
pass
f(1)
self.assertEqual(self.count, 3)
def test_function_varargs(self):
@weave_on(self.advice)
@weave_on([self.advice, self.advice])
def f(*args):
pass
f()
self.assertEqual(self.count, 3)
def test_function_args_varargs(self):
@weave_on(self.advice)
@weave_on([self.advice, self.advice])
def f(a, **args):
pass
f(1)
self.assertEqual(self.count, 3)
def test_function_kwargs(self):
@weave_on([self.advice, self.advice])
@weave_on(self.advice)
def f(**kwargs):
pass
f()
self.assertEqual(self.count, 3)
def test_function_args_kwargs(self):
@weave_on(self.advice)
@weave_on([self.advice, self.advice])
def f(a, **args):
pass
f(1)
self.assertEqual(self.count, 3)
def test_function_args_varargs_kwargs(self):
@weave_on(self.advice)
@weave_on([self.advice, self.advice])
def f(a, *args, **kwargs):
pass
f(1)
self.assertEqual(self.count, 3)
def _assert_class(self, cls):
"""
Run assertion tests on input cls
"""
weave_on(advices=[self.advice, self.advice])(cls)
weave_on(advices=self.advice, pointcut='__init__')(cls)
weave_on(advices=[self.advice, self.advice])(cls.B)
weave_on(advices=self.advice, pointcut='__init__')(cls.B)
weave_on(advices=[self.advice, self.advice])(cls.C)
weave_on(advices=self.advice, pointcut='__init__')(cls.C)
cls()
cls.B()
cls.C()
self.assertEqual(self.count, 9)
def test_class(self):
class A(object):
class B(object):
def __init__(self):
pass
class C(object):
pass
def __init__(self):
pass
self._assert_class(A)
def test_namespace(self):
class A:
class B:
def __init__(self):
pass
class C:
pass
def __init__(self):
pass
self._assert_class(A)
def test_multi(self):
count = 5
f = lambda: None
weave_on(advices=[self.advice, self.advice])(f)
weave_on(advices=self.advice)(f)
for i in range(count):
f()
self.assertEqual(self.count, 3 * count)
unweave(f)
for i in range(count):
f()
self.assertEqual(self.count, 3 * count)
weave_on(advices=[self.advice, self.advice])(f)
weave_on(advices=self.advice)(f)
for i in range(count):
f()
self.assertEqual(self.count, 6 * count)
unweave(f)
for i in range(count):
f()
self.assertEqual(self.count, 6 * count)
def test_ttl(self):
def test():
pass
weave_on(advices=self.advice, ttl=0.1)(test)
test()
sleep(0.2)
test()
self.assertEqual(self.count, 1)
if __name__ == '__main__':
main()
| 22.898148
| 79
| 0.573662
| 2,566
| 22,257
| 4.862822
| 0.08145
| 0.042956
| 0.083747
| 0.105786
| 0.839077
| 0.815195
| 0.774964
| 0.735214
| 0.69346
| 0.67038
| 0
| 0.014709
| 0.312711
| 22,257
| 971
| 80
| 22.92173
| 0.801007
| 0.083839
| 0
| 0.858621
| 0
| 0
| 0.00356
| 0
| 0
| 0
| 0
| 0
| 0.317241
| 1
| 0.137931
| false
| 0.067241
| 0.008621
| 0.003448
| 0.198276
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
0ddfebb59ec1867e49c487bf53f4a622a4130c3b
| 278,747
|
py
|
Python
|
src/TrackMaster/iconsloader.py
|
peace098beat/TrackMaster
|
3498bbc2f161f4ca99bbd087f48103898088005c
|
[
"Apache-2.0"
] | null | null | null |
src/TrackMaster/iconsloader.py
|
peace098beat/TrackMaster
|
3498bbc2f161f4ca99bbd087f48103898088005c
|
[
"Apache-2.0"
] | null | null | null |
src/TrackMaster/iconsloader.py
|
peace098beat/TrackMaster
|
3498bbc2f161f4ca99bbd087f48103898088005c
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# Resource object code
#
# Created: 金 9 30 09:27:02 2016
# by: The Resource Compiler for PySide (Qt v4.8.7)
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore
qt_resource_data = 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def qInitResources():
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def qCleanupResources():
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qInitResources()
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|
0
| 8
|
0dfa2a1fb8fb0bfa297cc47eb84b62d38b8acd4e
| 135
|
py
|
Python
|
src/jax_rl/__init__.py
|
hamishs/JAX-RL
|
c7b59598bce18b6dc7e8317c10d14bf94606fc79
|
[
"MIT"
] | 3
|
2021-11-12T13:06:05.000Z
|
2022-03-27T13:36:38.000Z
|
src/jax_rl/__init__.py
|
hamishs/JAX-RL
|
c7b59598bce18b6dc7e8317c10d14bf94606fc79
|
[
"MIT"
] | null | null | null |
src/jax_rl/__init__.py
|
hamishs/JAX-RL
|
c7b59598bce18b6dc7e8317c10d14bf94606fc79
|
[
"MIT"
] | 1
|
2021-12-24T22:27:37.000Z
|
2021-12-24T22:27:37.000Z
|
from jax_rl import utils
from jax_rl import buffer
from jax_rl import algorithms
from jax_rl import policies
from jax_rl import tabular
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0
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|
2195f96c5145c5df3c32c14015d12707673034b0
| 13,616
|
py
|
Python
|
models/DenseNet.py
|
zetnim/saliency-semantic-parsing-reid
|
5ae58c5beca260d1bc1ff3e6222e08c99dd93bfe
|
[
"MIT"
] | 12
|
2019-08-27T08:58:46.000Z
|
2021-08-05T12:44:48.000Z
|
models/DenseNet.py
|
zetnim/saliency-semantic-parsing-reid
|
5ae58c5beca260d1bc1ff3e6222e08c99dd93bfe
|
[
"MIT"
] | 3
|
2019-11-13T00:52:08.000Z
|
2020-07-18T05:05:54.000Z
|
models/DenseNet.py
|
zetnim/saliency-semantic-parsing-reid
|
5ae58c5beca260d1bc1ff3e6222e08c99dd93bfe
|
[
"MIT"
] | 8
|
2019-08-27T08:58:49.000Z
|
2022-02-14T14:42:20.000Z
|
from __future__ import absolute_import
import torch
from torch import nn
from torch.nn import functional as F
import torchvision
__all__ = ['DenseNet121', 'DenseNet121_salience', 'DenseNet121_parsing', 'DenseNet121_full']
class DenseNet121(nn.Module):
"""
Code imported from https://github.com/KaiyangZhou/deep-person-reid
"""
def __init__(self, num_classes, loss={'xent'}, **kwargs):
super(DenseNet121, self).__init__()
self.loss = loss
densenet121 = torchvision.models.densenet121(pretrained=True)
self.base = densenet121.features
self.classifier = nn.Linear(1024, num_classes)
self.feat_dim = 1024 # feature dimension
self.use_salience = False
self.use_parsing = False
def forward(self, x):
x = self.base(x)
x = F.avg_pool2d(x, x.size()[2:])
f = x.view(x.size(0), -1)
if not self.training:
return f
y = self.classifier(f)
if self.loss == {'xent'}:
return y
elif self.loss == {'xent', 'htri'}:
return y, f
elif self.loss == {'cent'}:
return y, f
elif self.loss == {'ring'}:
return y, f
else:
raise KeyError("Unsupported loss: {}".format(self.loss))
class DenseNet121_salience_beg(nn.Module):
' deprecated '
def __init__(self, num_classes, loss={'xent'}, **kwargs):
super(DenseNet121_salience_beg, self).__init__()
self.loss = loss
densenet121 = torchvision.models.densenet121(pretrained=True)
self.base0 = densenet121.features[0]
self.base1 = densenet121.features[1]
self.base2 = densenet121.features[2]
self.base3 = densenet121.features[3]
self.base4 = densenet121.features[4]#dense block
self.base5 = densenet121.features[5]#composite function
self.base6 = densenet121.features[6]#dense block
self.base7 = densenet121.features[7]#composite function
self.base8 = densenet121.features[8]#dense block
self.base9 = densenet121.features[9]#composite function
self.base10 = densenet121.features[10]#dense block
self.base11 = densenet121.features[11]#batch normalization
self.classifier = nn.Linear(1024, num_classes)
self.feat_dim = 1024 # feature dimension
self.use_salience = True
self.use_parsing = False
def forward(self, x, salience_masks):
salience_masks = salience_masks.view(salience_masks.size(0), 1, salience_masks.size(1), salience_masks.size(2))
salience_masks = F.upsample(salience_masks, size = (parsing_masks.size()[-2], parsing_masks.size()[-1]), mode = 'bilinear')
x = x * salience_masks
x = self.base0(x)
x = self.base1(x)
x = self.base2(x)
x = self.base3(x)
x = self.base4(x)
x = self.base5(x)
x = self.base6(x)
x = self.base7(x)
x = self.base8(x)
x = self.base9(x)
x = self.base10(x)
x = self.base11(x)
x = F.avg_pool2d(x, x.size()[2:])
f = x.view(x.size(0), -1)
if not self.training:
return f
y = self.classifier(f)
if self.loss == {'xent'}:
return y
elif self.loss == {'xent', 'htri'}:
return y, f
elif self.loss == {'cent'}:
return y, f
elif self.loss == {'ring'}:
return y, f
else:
raise KeyError("Unsupported loss: {}".format(self.loss))
class DenseNet121_parsing_beg(nn.Module):
' deprecated '
def __init__(self, num_classes, loss={'xent'}, **kwargs):
super(DenseNet121_parsing_beg, self).__init__()
self.loss = loss
densenet121 = torchvision.models.densenet121(pretrained=True)
self.base0 = densenet121.features[0]
self.base1 = densenet121.features[1]
self.base2 = densenet121.features[2]
self.base3 = densenet121.features[3]
self.base4 = densenet121.features[4]#dense block
self.base5 = densenet121.features[5]#composite function
self.base6 = densenet121.features[6]#dense block
self.base7 = densenet121.features[7]#composite function
self.base8 = densenet121.features[8]#dense block
self.base9 = densenet121.features[9]#composite function
self.base10 = densenet121.features[10]#dense block
self.base11 = densenet121.features[11]#batch normalization
self.classifier = nn.Linear(1024, num_classes)
self.feat_dim = 1024 # feature dimension
self.use_salience = False
self.use_parsing = True
def forward(self, x, parsing_masks):
parsing_masks = parsing_masks[:, 0] #recover just foreground
parsing_masks = parsing_masks.view(parsing_masks.size(0), 1, parsing_masks.size(1), parsing_masks.size(2))
parsing_masks = F.upsample(parsing_masks, size = (parsing_masks.size()[-2], parsing_masks.size()[-1]), mode = 'bilinear')
x = x * parsing_masks
x = self.base0(x)
x = self.base1(x)
x = self.base2(x)
x = self.base3(x)
x = self.base4(x)
x = self.base5(x)
x = self.base6(x)
x = self.base7(x)
x = self.base8(x)
x = self.base9(x)
x = self.base10(x)
x = self.base11(x)
x = F.avg_pool2d(x, x.size()[2:])
f = x.view(x.size(0), -1)
if not self.training:
return f
y = self.classifier(f)
if self.loss == {'xent'}:
return y
elif self.loss == {'xent', 'htri'}:
return y, f
elif self.loss == {'cent'}:
return y, f
elif self.loss == {'ring'}:
return y, f
else:
raise KeyError("Unsupported loss: {}".format(self.loss))
class DenseNet121_salience(nn.Module):
def __init__(self, num_classes, loss={'xent'}, **kwargs):
super(DenseNet121_salience, self).__init__()
self.loss = loss
densenet121 = torchvision.models.densenet121(pretrained=True)
self.base0 = densenet121.features[0]
self.base1 = densenet121.features[1]
self.base2 = densenet121.features[2]
self.base3 = densenet121.features[3]
self.base4 = densenet121.features[4]#dense block
self.base5 = densenet121.features[5]#composite function
self.base6 = densenet121.features[6]#dense block
self.base7 = densenet121.features[7]#composite function
self.base8 = densenet121.features[8]#dense block
self.base9 = densenet121.features[9]#composite function
self.base10 = densenet121.features[10]#dense block
self.base11 = densenet121.features[11]#batch normalization
self.classifier = nn.Linear(1280, num_classes)
self.feat_dim = 1280 # feature dimension
self.use_salience = True
self.use_parsing = False
def forward(self, x, salience_masks):
x = self.base0(x)
x = self.base1(x)
x = self.base2(x)
x = self.base3(x)
x = self.base4(x)
x = self.base5(x)
x = self.base6(x)
x7= self.base7(x)#size = 256, 16, 8
x = self.base8(x7)
x = self.base9(x)
x = self.base10(x)
x = self.base11(x)
x = F.avg_pool2d(x, x.size()[2:])
x = x.view(x.size(0), -1)
#upsample feature map to fit salience_masks
salience_feat = F.upsample(x7, size = (salience_masks.size()[-2], salience_masks.size()[-1]), mode = 'bilinear')
#combine feature map with salience_masks (128, 64)
channel_size = salience_feat.size()[2] * salience_feat.size()[3]
salience_masks = salience_masks.cuda()
salience_masks = salience_masks.view(salience_masks.size()[0], channel_size, 1)
salience_feat = salience_feat.view(salience_feat.size()[0], salience_feat.size()[1], channel_size)
salience_feat = torch.bmm(salience_feat, salience_masks)#instead of replicating we use matrix product
#average pooling
salience_feat = salience_feat.view(salience_feat.size()[:2]) / float(channel_size)
f = torch.cat((x, salience_feat), dim = 1)
if not self.training:
return f
y = self.classifier(f)
if self.loss == {'xent'}:
return y
elif self.loss == {'xent', 'htri'}:
return y, f
elif self.loss == {'cent'}:
return y, f
elif self.loss == {'ring'}:
return y, f
else:
raise KeyError("Unsupported loss: {}".format(self.loss))
class DenseNet121_parsing(nn.Module):
def __init__(self, num_classes, loss={'xent'}, **kwargs):
super(DenseNet121_parsing, self).__init__()
self.loss = loss
densenet121 = torchvision.models.densenet121(pretrained=True)
self.base0 = densenet121.features[0]
self.base1 = densenet121.features[1]
self.base2 = densenet121.features[2]
self.base3 = densenet121.features[3]
self.base4 = densenet121.features[4]#dense block
self.base5 = densenet121.features[5]#composite function
self.base6 = densenet121.features[6]#dense block
self.base7 = densenet121.features[7]#composite function
self.base8 = densenet121.features[8]#dense block
self.base9 = densenet121.features[9]#composite function
self.base10 = densenet121.features[10]#dense block
self.base11 = densenet121.features[11]#batch normalization
self.classifier = nn.Linear(2304, num_classes)
self.feat_dim = 2304 # feature dimension
self.use_salience = False
self.use_parsing = True
def forward(self, x, parsing_masks):
x = self.base0(x)
x = self.base1(x)
x = self.base2(x)
x = self.base3(x)
x = self.base4(x)
x = self.base5(x)
x = self.base6(x)
x7= self.base7(x)#size = 256, 16, 8
x = self.base8(x7)
x = self.base9(x)
x = self.base10(x)
x = self.base11(x)
x = F.avg_pool2d(x, x.size()[2:])
x = x.view(x.size(0), -1)
#upsample feature map to fit salience_masks
parsing_feat = F.upsample(x7, size = (parsing_masks.size()[-2], parsing_masks.size()[-1]), mode = 'bilinear')
#combine feature map with salience_masks (128, 64)
channel_size = parsing_feat.size()[2] * parsing_feat.size()[3]
parsing_masks = parsing_masks.view(parsing_masks.size()[0], parsing_masks.size()[1], channel_size)
parsing_masks = torch.transpose(parsing_masks, 1, 2)
parsing_feat = parsing_feat.view(parsing_feat.size()[0], parsing_feat.size()[1], channel_size)
parsing_feat = torch.bmm(parsing_feat, parsing_masks)
#average pooling
parsing_feat = parsing_feat.view(parsing_feat.size()[0], parsing_feat.size()[1] * parsing_feat.size()[2]).cuda() / float(channel_size)
f = torch.cat((x, parsing_feat), dim = 1)
if not self.training:
return f
y = self.classifier(f)
if self.loss == {'xent'}:
return y
elif self.loss == {'xent', 'htri'}:
return y, f
elif self.loss == {'cent'}:
return y, f
elif self.loss == {'ring'}:
return y, f
else:
raise KeyError("Unsupported loss: {}".format(self.loss))
class DenseNet121_full(nn.Module):
def __init__(self, num_classes, loss={'xent'}, **kwargs):
super(DenseNet121_full, self).__init__()
self.loss = loss
densenet121 = torchvision.models.densenet121(pretrained=True)
self.base0 = densenet121.features[0]
self.base1 = densenet121.features[1]
self.base2 = densenet121.features[2]
self.base3 = densenet121.features[3]
self.base4 = densenet121.features[4]#dense block
self.base5 = densenet121.features[5]#composite function
self.base6 = densenet121.features[6]#dense block
self.base7 = densenet121.features[7]#composite function
self.base8 = densenet121.features[8]#dense block
self.base9 = densenet121.features[9]#composite function
self.base10 = densenet121.features[10]#dense block
self.base11 = densenet121.features[11]#batch normalization
self.classifier = nn.Linear(1280, num_classes)
self.feat_dim = 1280 # feature dimension
self.use_salience = False
self.use_parsing = False
def forward(self, x):
x = self.base0(x)
x = self.base1(x)
x = self.base2(x)
x = self.base3(x)
x = self.base4(x)
x = self.base5(x)
x = self.base6(x)
x7= self.base7(x)#size = 256, 16, 8
x = self.base8(x7)
x = self.base9(x)
x = self.base10(x)
x = self.base11(x)
x = F.avg_pool2d(x, x.size()[2:])
x = x.view(x.size(0), -1)
#use f7 as feature
x7_feat = F.avg_pool2d(x7, x7.size()[2:]).view(x7.size()[:2])
f = torch.cat((x, x7_feat), dim = 1)
if not self.training:
return f
y = self.classifier(f)
if self.loss == {'xent'}:
return y
elif self.loss == {'xent', 'htri'}:
return y, f
elif self.loss == {'cent'}:
return y, f
elif self.loss == {'ring'}:
return y, f
else:
raise KeyError("Unsupported loss: {}".format(self.loss))
| 37.61326
| 142
| 0.593493
| 1,707
| 13,616
| 4.619215
| 0.079086
| 0.016487
| 0.036525
| 0.018263
| 0.894737
| 0.880025
| 0.869119
| 0.862524
| 0.851363
| 0.827774
| 0
| 0.064444
| 0.279744
| 13,616
| 361
| 143
| 37.717452
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| 0
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| 0.039344
| false
| 0
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| null | 0
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| 1
| 1
| 1
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| 0
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| 0
| 0
|
0
| 7
|
21a7d54791c2e2d5805b3560a0c8204607e4e211
| 6,549
|
py
|
Python
|
gators/feature_generation/tests/test_plane_rotation.py
|
Aditya-Kapadiya/gators
|
d7c9967e3a8e304a601b6a92ad834d03d3e36338
|
[
"Apache-2.0"
] | 4
|
2021-10-29T18:20:52.000Z
|
2022-03-31T22:53:03.000Z
|
gators/feature_generation/tests/test_plane_rotation.py
|
Aditya-Kapadiya/gators
|
d7c9967e3a8e304a601b6a92ad834d03d3e36338
|
[
"Apache-2.0"
] | 1
|
2022-01-19T12:16:19.000Z
|
2022-01-19T12:16:19.000Z
|
gators/feature_generation/tests/test_plane_rotation.py
|
Aditya-Kapadiya/gators
|
d7c9967e3a8e304a601b6a92ad834d03d3e36338
|
[
"Apache-2.0"
] | 5
|
2021-11-17T20:16:54.000Z
|
2022-02-21T18:21:02.000Z
|
# License: Apache-2.0
import databricks.koalas as ks
import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_frame_equal
from gators.feature_generation.plane_rotation import PlaneRotation
ks.set_option("compute.default_index_type", "distributed-sequence")
@pytest.fixture
def data():
X = pd.DataFrame(
[[200.0, 140.0, 100.0], [210.0, 160.0, 125.0]], columns=list("XYZ")
)
X_expected = pd.DataFrame(
{
"X": {0: 200.0, 1: 210.0},
"Y": {0: 140.0, 1: 160.0},
"Z": {0: 100.0, 1: 125.0},
"XY_x_45deg": {0: 42.42640687119287, 1: 35.35533905932739},
"XY_y_45deg": {0: 240.41630560342614, 1: 261.62950903902254},
"XY_x_60deg": {0: -21.243556529821376, 1: -33.56406460551014},
"XY_y_60deg": {0: 243.20508075688775, 1: 261.8653347947321},
"XZ_x_45deg": {0: 70.71067811865477, 1: 60.104076400856556},
"XZ_y_45deg": {0: 212.13203435596424, 1: 236.8807716974934},
"XZ_x_60deg": {0: 13.397459621556166, 1: -3.253175473054796},
"XZ_y_60deg": {0: 223.20508075688775, 1: 244.36533479473212},
}
)
obj = PlaneRotation(columns=[["X", "Y"], ["X", "Z"]], theta_vec=[45, 60]).fit(X)
return obj, X, X_expected
@pytest.fixture
def data_float32():
X = pd.DataFrame([[200, 140, 100], [210, 160, 125]], columns=list("XYZ")).astype(
np.float32
)
X_expected = pd.DataFrame(
{
"X": {0: 200.0, 1: 210.0},
"Y": {0: 140.0, 1: 160.0},
"Z": {0: 100.0, 1: 125.0},
"XY_x_45deg": {0: 42.42640687119287, 1: 35.35533905932739},
"XY_y_45deg": {0: 240.41630560342614, 1: 261.62950903902254},
"XY_x_60deg": {0: -21.243556529821376, 1: -33.56406460551014},
"XY_y_60deg": {0: 243.20508075688775, 1: 261.8653347947321},
"XZ_x_45deg": {0: 70.71067811865477, 1: 60.104076400856556},
"XZ_y_45deg": {0: 212.13203435596424, 1: 236.8807716974934},
"XZ_x_60deg": {0: 13.397459621556166, 1: -3.253175473054796},
"XZ_y_60deg": {0: 223.20508075688775, 1: 244.36533479473212},
}
).astype(np.float32)
obj = PlaneRotation(
columns=[["X", "Y"], ["X", "Z"]], theta_vec=[45, 60], dtype=np.float32
).fit(X)
return obj, X, X_expected
@pytest.fixture
def data_ks():
X = ks.DataFrame(
[[200.0, 140.0, 100.0], [210.0, 160.0, 125.0]], columns=list("XYZ")
)
X_expected = pd.DataFrame(
{
"X": {0: 200.0, 1: 210.0},
"Y": {0: 140.0, 1: 160.0},
"Z": {0: 100.0, 1: 125.0},
"XY_x_45deg": {0: 42.42640687119287, 1: 35.35533905932739},
"XY_y_45deg": {0: 240.41630560342614, 1: 261.62950903902254},
"XY_x_60deg": {0: -21.243556529821376, 1: -33.56406460551014},
"XY_y_60deg": {0: 243.20508075688775, 1: 261.8653347947321},
"XZ_x_45deg": {0: 70.71067811865477, 1: 60.104076400856556},
"XZ_y_45deg": {0: 212.13203435596424, 1: 236.8807716974934},
"XZ_x_60deg": {0: 13.397459621556166, 1: -3.253175473054796},
"XZ_y_60deg": {0: 223.20508075688775, 1: 244.36533479473212},
}
)
obj = PlaneRotation(columns=[["X", "Y"], ["X", "Z"]], theta_vec=[45, 60]).fit(X)
return obj, X, X_expected
@pytest.fixture
def data_float32_ks():
X = ks.DataFrame([[200, 140, 100], [210, 160, 125]], columns=list("XYZ")).astype(
np.float32
)
X_expected = pd.DataFrame(
{
"X": {0: 200.0, 1: 210.0},
"Y": {0: 140.0, 1: 160.0},
"Z": {0: 100.0, 1: 125.0},
"XY_x_45deg": {0: 42.42640687119287, 1: 35.35533905932739},
"XY_y_45deg": {0: 240.41630560342614, 1: 261.62950903902254},
"XY_x_60deg": {0: -21.243556529821376, 1: -33.56406460551014},
"XY_y_60deg": {0: 243.20508075688775, 1: 261.8653347947321},
"XZ_x_45deg": {0: 70.71067811865477, 1: 60.104076400856556},
"XZ_y_45deg": {0: 212.13203435596424, 1: 236.8807716974934},
"XZ_x_60deg": {0: 13.397459621556166, 1: -3.253175473054796},
"XZ_y_60deg": {0: 223.20508075688775, 1: 244.36533479473212},
}
).astype(np.float32)
obj = PlaneRotation(
columns=[["X", "Y"], ["X", "Z"]], theta_vec=[45, 60], dtype=np.float32
).fit(X)
return obj, X, X_expected
def test_pd(data):
obj, X, X_expected = data
X_new = obj.transform(X)
assert_frame_equal(X_new, X_expected)
@pytest.mark.koalas
def test_ks(data_ks):
obj, X, X_expected = data_ks
X_new = obj.transform(X)
assert_frame_equal(X_new.to_pandas(), X_expected)
def test_pd_np(data):
obj, X, X_expected = data
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected)
@pytest.mark.koalas
def test_ks_np(data_ks):
obj, X, X_expected = data_ks
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected)
def test_float32_pd(data_float32):
obj, X, X_expected = data_float32
X_new = obj.transform(X)
assert_frame_equal(X_new, X_expected)
@pytest.mark.koalas
def test_float32_ks(data_float32_ks):
obj, X, X_expected = data_float32_ks
X_new = obj.transform(X)
assert_frame_equal(X_new.to_pandas(), X_expected)
def test_float32_pd_np(data_float32):
obj, X, X_expected = data_float32
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected)
@pytest.mark.koalas
def test_float32_ks_np(data_float32_ks):
obj, X, X_expected = data_float32_ks
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected)
def test_input():
with pytest.raises(TypeError):
_ = PlaneRotation(columns=0, theta_vec=[45, 60])
with pytest.raises(TypeError):
_ = PlaneRotation(columns=[["X", "Y"]], theta_vec=0)
with pytest.raises(TypeError):
_ = PlaneRotation(columns=[["X", "Y"], ["X", "Z"]], theta_vec=0)
with pytest.raises(TypeError):
_ = PlaneRotation(columns=["X", "Y", "X", "Z"], theta_vec=[45, 60])
with pytest.raises(ValueError):
_ = PlaneRotation(columns=[], theta_vec=[0])
with pytest.raises(TypeError):
_ = PlaneRotation(columns=[["X", "Y"]], theta_vec=[45, "60"])
| 35.786885
| 85
| 0.605589
| 926
| 6,549
| 4.069114
| 0.113391
| 0.057325
| 0.015924
| 0.041401
| 0.917994
| 0.91242
| 0.895701
| 0.877123
| 0.877123
| 0.846338
| 0
| 0.290527
| 0.229501
| 6,549
| 182
| 86
| 35.983516
| 0.456203
| 0.002901
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| 0
| 0
| 0.064338
| 0.003983
| 0
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| 0
| 0
| 0.059211
| 1
| 0.085526
| false
| 0
| 0.039474
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| null | 0
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| 1
| 1
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| 1
| 1
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| null | 0
| 0
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| 0
|
0
| 9
|
21ac81d826c8f49d01edec27d68eb7de005652e1
| 36,638
|
py
|
Python
|
models_test.py
|
Luisiglm/Omics-Graph-Neural-Nets-
|
75a4f72ff62c930fd907f4b232b307445ca0c06a
|
[
"MIT"
] | 1
|
2021-11-12T10:58:35.000Z
|
2021-11-12T10:58:35.000Z
|
models_test.py
|
Luisiglm/Omics-Graph-Neural-Nets-
|
75a4f72ff62c930fd907f4b232b307445ca0c06a
|
[
"MIT"
] | null | null | null |
models_test.py
|
Luisiglm/Omics-Graph-Neural-Nets-
|
75a4f72ff62c930fd907f4b232b307445ca0c06a
|
[
"MIT"
] | null | null | null |
"""models_test.py."""
import tensorflow as tf
import numpy as np
import models
class ModelsTest(tf.test.TestCase):
def test_gat_2(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2,3,1))
x_2 = np.ones((2,3,1))
# create a gat model with 2 inputs.
gt2 = models.gat_2([3,1],[3,1],adj,1)
# check output is of size [2,1]
outp = gt2([x_1,x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 1)
# check new size
gt2 = models.gat_2([3,1],[3,1],adj,10)
# check output is of size [2,1]
outp = gt2([x_1,x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 10)
# check that the second layer is a fully_3d.
actual_lay = str(type(gt2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gt2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gt2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gt2.layers[7]))
expected_lay = "<class 'layers.gat'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gt2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
gt2 = models.gat_2([3, 1], [3, 1], adj,1, depth = 1)
outp = gt2([x_1, x_2])
f1 = gt2.layers[0](x_1) # input layer
f2 = gt2.layers[1](f1) # fully_3d
f3 = gt2.layers[2](f2) # BN
f4 = gt2.layers[3](f3) # relu
f5 = gt2.layers[4](f4) # Dropout
f6 = gt2.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6),axis = 2) # concatenate inputs.
f8, att = gt2.layers[7](f7) # graph gating.
f9 = gt2.layers[8](f8) # BN
f10 = gt2.layers[9](f9) # relu
f11 = gt2.layers[10](f10) # Dropout
f12 = gt2.layers[11](f11,att) # graph pooling.
f13 = gt2.layers[12](f12) # BN
f14 = gt2.layers[13](f13) # relu
f15 = gt2.layers[14](f14) # Droput
f16 = gt2.layers[15](f15) # Flatten
expected_outp = gt2.layers[16](f16) # Dense
self.assertAllClose(expected_outp, outp)
def test_gate_2(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2,3,1))
x_2 = np.ones((2,3,1))
# create a gat model with 2 inputs.
gte2 = models.gate_2([3,1],[3,1],adj,1)
# check output is of size [2,1]
outp = gte2([x_1,x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 1)
# check new size
gte2 = models.gate_2([3,1],[3,1],adj,10)
# check output is of size [2,10]
outp = gte2([x_1,x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 10)
# check that the second layer is a fully_3d.
actual_lay = str(type(gte2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gte2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gte2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gte2.layers[7]))
expected_lay = "<class 'layers.gate'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gte2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check operations are in the right order
gt2 = models.gate_2([3, 1], [3, 1], adj,1, depth = 1)
outp = gt2([x_1, x_2])
f1 = gt2.layers[0](x_1) # input layer
f2 = gt2.layers[1](f1) # fully_3d
f3 = gt2.layers[2](f2) # BN
f4 = gt2.layers[3](f3) # relu
f5 = gt2.layers[4](f4) # Dropout
f6 = gt2.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6),axis = 2) # concatenate inputs.
f8, att = gt2.layers[7](f7) # graph gating.
f9 = gt2.layers[8](f8) # BN
f10 = gt2.layers[9](f9) # relu
f11 = gt2.layers[10](f10) # Dropout
f12 = gt2.layers[11](f11,att) # graph pooling.
f13 = gt2.layers[12](f12) # BN
f14 = gt2.layers[13](f13) # relu
f15 = gt2.layers[14](f14) # Droput
f16 = gt2.layers[15](f15) # Flatten
expected_outp = gt2.layers[16](f16) # Dense
self.assertAllClose(expected_outp, outp)
def test_gpool_2(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2,3,1))
x_2 = np.ones((2,3,1))
# create a gat model with 2 inputs.
gpl2 = models.gpool_2([3,1],[3,1],adj,1)
# check output is of size [2,1]
outp = gpl2([x_1,x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 1)
# check new size
gpl2 = models.gpool_2([3, 1], [3, 1], adj, 10)
# check output is of size [2,1]
outp = gpl2([x_1, x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 10)
# check that the second layer is a fully_3d.
actual_lay = str(type(gpl2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gpl2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gpl2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gpl2.layers[7]))
expected_lay = "<class 'layers.gpool'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gpl2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check output
gt2 = models.gpool_2([3, 1], [3, 1], adj,1, depth = 1)
outp = gt2([x_1, x_2])
f1 = gt2.layers[0](x_1) # input layer
f2 = gt2.layers[1](f1) # fully_3d
f3 = gt2.layers[2](f2) # BN
f4 = gt2.layers[3](f3) # relu
f5 = gt2.layers[4](f4) # Dropout
f6 = gt2.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6),axis = 2) # concatenate inputs.
f8 = gt2.layers[7](f7) # graph pooling.
f9 = gt2.layers[8](f8) # BN
f10 = gt2.layers[9](f9) # relu
f11 = gt2.layers[10](f10) # Dropout
f12 = gt2.layers[11](f11) # graph pooling.
f13 = gt2.layers[12](f12) # BN
f14 = gt2.layers[13](f13) # relu
f15 = gt2.layers[14](f14) # Droput
f16 = gt2.layers[15](f15) # Flatten
expected_outp = gt2.layers[16](f16) # Dense
self.assertAllClose(expected_outp, outp)
def test_gcn_2(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
adj[1, 0] = 1.
adj[2, 1] = 1.
adj[0, 2] = 1.
# simulate some inputs
x_1 = np.ones((2, 3, 1))
x_2 = np.ones((2, 3, 1))
# create a gat model with 2 inputs.
gcn2 = models.gcn_2([3, 1], [3, 1], adj, 1)
# check output is of size [2,1]
outp = gcn2([x_1, x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 1)
# check new size
gcn2 = models.gcn_2([3, 1], [3, 1], adj, 10)
# check output is of size [2,1]
outp = gcn2([x_1, x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 10)
# check that the second layer is a fully_3d.
actual_lay = str(type(gcn2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gcn2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gcn2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gcn2.layers[7]))
expected_lay = "<class 'layers.gcn'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gcn2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check the order of operations
gt2 = models.gcn_2([3, 1], [3, 1], adj, 1, depth=1)
outp = gt2([x_1, x_2])
f1 = gt2.layers[0](x_1) # input layer
f2 = gt2.layers[1](f1) # fully_3d
f3 = gt2.layers[2](f2) # BN
f4 = gt2.layers[3](f3) # relu
f5 = gt2.layers[4](f4) # Dropout
f6 = gt2.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8 = gt2.layers[7](f7) # graph pooling.
f9 = gt2.layers[8](f8) # BN
f10 = gt2.layers[9](f9) # relu
f11 = gt2.layers[10](f10) # Dropout
f12 = gt2.layers[11](f11) # graph pooling.
f13 = gt2.layers[12](f12) # BN
f14 = gt2.layers[13](f13) # relu
f15 = gt2.layers[14](f14) # Droput
f16 = gt2.layers[15](f15) # Flatten
expected_outp = gt2.layers[16](f16) # Dense
self.assertAllClose(expected_outp, outp)
def test_gat_3(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2,3,1))
x_2 = np.ones((2,3,1))
x_3 = np.ones((2,3))
# create a gat model with 2 inputs.
gt3 = models.gat_3([3,1],[3,1],3,adj,1)
# check output is of size [2,1]
outp = gt3([x_1,x_2,x_3])
# expected shape is 1.
self.assertEqual(outp.shape[1], 1)
# check new size
gt3 = models.gat_3([3,1],[3,1],3,adj,10)
# check output is of size [2,1]
outp = gt3([x_1,x_2,x_3])
# expected shape is 1.
self.assertEqual(outp.shape[1], 10)
# check that the second layer is a fully_3d.
actual_lay = str(type(gt3.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gt3.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gt3.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gt3.layers[7]))
expected_lay = "<class 'layers.gat'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gt3.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# see that you add the last input.
gt3 = models.gat_3([3, 1], [3, 1], 3, adj,1, depth = 0)
outp = gt3([x_1, x_2, x_3])
f1 = gt3.layers[0](x_1) # input layer
f2 = gt3.layers[1](f1) # fully_3d
f3 = gt3.layers[2](f2) # BN
f4 = gt3.layers[3](f3) # relu
f5 = gt3.layers[4](f4) # Dropout
f6 = gt3.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8, att = gt3.layers[7](f7) # graph attention.
f9 = gt3.layers[8](f8) # BN
f10 = gt3.layers[9](f9) # relu
f11 = gt3.layers[10](f10) # Dropout
f12 = gt3.layers[11](f11) # flatten
f13 = gt3.layers[12](x_3) # input layer
f14 = gt3.layers[13](f12) # dense.
f15 = gt3.layers[14](f13) # dense 2.
f16 = tf.concat((f14,f15),axis =1)
expected_outp = gt3.layers[16](f16)
self.assertAllClose(expected_outp,outp)
def test_gate_3(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2,3,1))
x_2 = np.ones((2,3,1))
x_3 = np.ones((2,3))
# create a gat model with 2 inputs.
gte2 = models.gate_3([3,1],[3,1],3,adj,1)
# check output is of size [2,1]
outp = gte2([x_1,x_2,x_3])
# expected shape is 1.
self.assertEqual(outp.shape[1], 1)
# check new size
gte2 = models.gate_3([3,1],[3,1],3,adj,10)
# check output is of size [2,10]
outp = gte2([x_1,x_2,x_3])
# expected shape is 1.
self.assertEqual(outp.shape[1], 10)
# check that the second layer is a fully_3d.
actual_lay = str(type(gte2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gte2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gte2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gte2.layers[7]))
expected_lay = "<class 'layers.gate'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gte2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check order of operations
gt3 = models.gate_3([3, 1], [3, 1], 3, adj, 1, depth=0)
outp = gt3([x_1, x_2, x_3])
f1 = gt3.layers[0](x_1) # input layer
f2 = gt3.layers[1](f1) # fully_3d
f3 = gt3.layers[2](f2) # BN
f4 = gt3.layers[3](f3) # relu
f5 = gt3.layers[4](f4) # Dropout
f6 = gt3.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8, att = gt3.layers[7](f7) # graph attention.
f9 = gt3.layers[8](f8) # BN
f10 = gt3.layers[9](f9) # relu
f11 = gt3.layers[10](f10) # Dropout
f12 = gt3.layers[11](f11) # flatten
f13 = gt3.layers[12](x_3) # input layer
f14 = gt3.layers[13](f12) # dense.
f15 = gt3.layers[14](f13) # dense 2.
f16 = tf.concat((f14, f15), axis=1)
expected_outp = gt3.layers[16](f16)
self.assertAllClose(expected_outp, outp)
def test_gpool_3(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2,3,1))
x_2 = np.ones((2,3,1))
x_3 = np.ones((2,3))
# create a gat model with 2 inputs.
gpl2 = models.gpool_2([3,1],[3,1],adj,1)
# check output is of size [2,1]
outp = gpl2([x_1,x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 1)
# check new size
gpl2 = models.gpool_2([3, 1], [3, 1], adj, 10)
# check output is of size [2,1]
outp = gpl2([x_1, x_2])
# expected shape is 1.
self.assertEqual(outp.shape[1], 10)
# check that the second layer is a fully_3d.
actual_lay = str(type(gpl2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gpl2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gpl2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gpl2.layers[7]))
expected_lay = "<class 'layers.gpool'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gpl2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check order of operations
gt3 = models.gpool_3([3, 1], [3, 1], 3, adj, 1, depth=0)
outp = gt3([x_1, x_2, x_3])
f1 = gt3.layers[0](x_1) # input layer
f2 = gt3.layers[1](f1) # fully_3d
f3 = gt3.layers[2](f2) # BN
f4 = gt3.layers[3](f3) # relu
f5 = gt3.layers[4](f4) # Dropout
f6 = gt3.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8 = gt3.layers[7](f7) # graph poling.
f9 = gt3.layers[8](f8) # BN
f10 = gt3.layers[9](f9) # relu
f11 = gt3.layers[10](f10) # Dropout
f12 = gt3.layers[11](f11) # flatten
f13 = gt3.layers[12](x_3) # input layer
f14 = gt3.layers[13](f12) # dense.
f15 = gt3.layers[14](f13) # dense 2.
f16 = tf.concat((f14, f15), axis=1)
expected_outp = gt3.layers[16](f16)
self.assertAllClose(expected_outp, outp)
def test_gcn_3(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
adj[1, 0] = 1.
adj[2, 1] = 1.
adj[0, 2] = 1.
# simulate some inputs
x_1 = np.ones((2, 3, 1))
x_2 = np.ones((2, 3, 1))
x_3 = np.ones((2, 3))
# create a gat model with 2 inputs.
gcn2 = models.gcn_3([3, 1], [3, 1], 3, adj, 1)
# check output is of size [2,1]
outp = gcn2([x_1, x_2, x_3])
# expected shape is 1.
self.assertEqual(outp.shape[1], 1)
# check new size
gcn2 = models.gcn_3([3, 1], [3, 1], 3, adj, 10)
# check output is of size [2,1]
outp = gcn2([x_1, x_2,x_3])
# expected shape is 1.
self.assertEqual(outp.shape[1], 10)
# check that the second layer is a fully_3d.
actual_lay = str(type(gcn2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gcn2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gcn2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gcn2.layers[7]))
expected_lay = "<class 'layers.gcn'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gcn2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check order of operations.
gt3 = models.gcn_3([3, 1], [3, 1], 3, adj, 1, depth=0)
outp = gt3([x_1, x_2, x_3])
f1 = gt3.layers[0](x_1) # input layer
f2 = gt3.layers[1](f1) # fully_3d
f3 = gt3.layers[2](f2) # BN
f4 = gt3.layers[3](f3) # relu
f5 = gt3.layers[4](f4) # Dropout
f6 = gt3.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8 = gt3.layers[7](f7) # graph convolution.
f9 = gt3.layers[8](f8) # BN
f10 = gt3.layers[9](f9) # relu
f11 = gt3.layers[10](f10) # Dropout
f12 = gt3.layers[11](f11) # flatten
f13 = gt3.layers[12](x_3) # input layer
f14 = gt3.layers[13](f12) # dense.
f15 = gt3.layers[14](f13) # dense 2.
f16 = tf.concat((f14, f15), axis=1)
expected_outp = gt3.layers[16](f16)
self.assertAllClose(expected_outp, outp)
def test_gcn_2_node(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
adj[1, 0] = 1.
adj[2, 1] = 1.
adj[0, 2] = 1.
# simulate some inputs
x_1 = np.ones((2, 3, 1))
x_2 = np.ones((2, 3, 1))
# create a gat model with 2 inputs.
gcn2 = models.gcn_2_node([3, 1], [3, 1], adj, 1)
# check output is of size [2,1]
outp = gcn2([x_1, x_2])
# expected shape is 3.
self.assertEqual(outp.shape[1], 3)
# check that the second layer is a fully_3d.
actual_lay = str(type(gcn2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gcn2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gcn2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gcn2.layers[7]))
expected_lay = "<class 'layers.gcn'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gcn2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check the order of operations
gt2 = models.gcn_2_node([3, 1], [3, 1], adj, 1, depth=1)
outp = gt2([x_1, x_2])
f1 = gt2.layers[0](x_1) # input layer
f2 = gt2.layers[1](f1) # fully_3d
f3 = gt2.layers[2](f2) # BN
f4 = gt2.layers[3](f3) # relu
f5 = gt2.layers[4](f4) # Dropout
f6 = gt2.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8 = gt2.layers[7](f7) # graph pooling.
f9 = gt2.layers[8](f8) # BN
f10 = gt2.layers[9](f9) # relu
f11 = gt2.layers[10](f10) # Dropout
f12 = gt2.layers[11](f11) # graph pooling.
f13 = gt2.layers[12](f12) # BN
f14 = gt2.layers[13](f13) # relu
f15 = gt2.layers[14](f14) # Dropout
f16 = gt2.layers[15](f15) # graph pooling
expected_outp = gt2.layers[16](f16) # Flatten
self.assertAllClose(expected_outp, outp)
def test_gat_2_node(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2, 3, 1))
x_2 = np.ones((2, 3, 1))
# create a gat model with 2 inputs.
gcn2 = models.gat_2_node([3, 1], [3, 1], adj, 1)
# check output is of size [2,1]
outp = gcn2([x_1, x_2])
# expected shape is 3.
self.assertEqual(outp.shape[1], 3)
# check that the second layer is a fully_3d.
actual_lay = str(type(gcn2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gcn2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gcn2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gcn2.layers[7]))
expected_lay = "<class 'layers.gat'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gcn2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check the order of operations
gt2 = models.gat_2_node([3, 1], [3, 1], adj, 1, depth=1)
outp = gt2([x_1, x_2])
f1 = gt2.layers[0](x_1) # input layer
f2 = gt2.layers[1](f1) # fully_3d
f3 = gt2.layers[2](f2) # BN
f4 = gt2.layers[3](f3) # relu
f5 = gt2.layers[4](f4) # Dropout
f6 = gt2.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8 , attn = gt2.layers[7](f7) # graph attention.
f9 = gt2.layers[8](f8) # BN
f10 = gt2.layers[9](f9) # relu
f11 = gt2.layers[10](f10) # Dropout
f12 = gt2.layers[11](f11, attn) # graph pooling.
f13 = gt2.layers[12](f12) # BN
f14 = gt2.layers[13](f13) # relu
f15 = gt2.layers[14](f14) # Dropout
f16 = gt2.layers[15](f15, attn) # graph pooling
expected_outp = gt2.layers[16](f16) # Flatten
self.assertAllClose(expected_outp, outp)
def test_gate_2_node(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2, 3, 1))
x_2 = np.ones((2, 3, 1))
# create a gat model with 2 inputs.
gcn2 = models.gate_2_node([3, 1], [3, 1], adj, 1)
# check output is of size [2,1]
outp = gcn2([x_1, x_2])
# expected shape is 3.
self.assertEqual(outp.shape[1], 3)
# check that the second layer is a fully_3d.
actual_lay = str(type(gcn2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gcn2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gcn2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gcn2.layers[7]))
expected_lay = "<class 'layers.gate'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gcn2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check the order of operations
gt2 = models.gate_2_node([3, 1], [3, 1], adj, 1, depth=1)
outp = gt2([x_1, x_2])
f1 = gt2.layers[0](x_1) # input layer
f2 = gt2.layers[1](f1) # fully_3d
f3 = gt2.layers[2](f2) # BN
f4 = gt2.layers[3](f3) # relu
f5 = gt2.layers[4](f4) # Dropout
f6 = gt2.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8 , attn = gt2.layers[7](f7) # gated graph attention.
f9 = gt2.layers[8](f8) # BN
f10 = gt2.layers[9](f9) # relu
f11 = gt2.layers[10](f10) # Dropout
f12 = gt2.layers[11](f11, attn) # graph pooling.
f13 = gt2.layers[12](f12) # BN
f14 = gt2.layers[13](f13) # relu
f15 = gt2.layers[14](f14) # Dropout
f16 = gt2.layers[15](f15, attn) # graph pooling
expected_outp = gt2.layers[16](f16) # Flatten
self.assertAllClose(expected_outp, outp)
def test_gpool_2_node(self):
with self.test_session():
# make a graph model for 0->1->2->0.
adj = np.zeros((3, 3))
adj[0, 1] = 1.
adj[1, 2] = 1.
adj[2, 0] = 1.
# simulate some inputs
x_1 = np.ones((2, 3, 1))
x_2 = np.ones((2, 3, 1))
# create a gat model with 2 inputs.
gcn2 = models.gpool_2_node([3, 1], [3, 1], adj, 1)
# check output is of size [2,1]
outp = gcn2([x_1, x_2])
# expected shape is 3.
self.assertEqual(outp.shape[1], 3)
# check that the second layer is a fully_3d.
actual_lay = str(type(gcn2.layers[1]))
expected_lay = "<class 'layers.fully_3d'>"
self.assertEqual(actual_lay, expected_lay)
# check the third layer is a Batch Normalization Layer.
actual_lay = str(type(gcn2.layers[2]))
expected_lay = "<class 'keras.layers.normalization.batch_normalization.BatchNormalization'>"
self.assertEqual(actual_lay, expected_lay)
# check the fourth layer is a Dropout Layer.
actual_lay = str(type(gcn2.layers[4]))
expected_lay = "<class 'keras.layers.regularization.dropout.Dropout'>"
self.assertEqual(actual_lay, expected_lay)
# check the fifth layer is a Graph Attention Layer.
actual_lay = str(type(gcn2.layers[7]))
expected_lay = "<class 'layers.gpool'>"
self.assertEqual(actual_lay, expected_lay)
# count the layers after this. (there should be 2x4).
expected_length = len(gcn2.layers) - 11 - 2
self.assertEqual(actual_lay, expected_lay)
# check the order of operations
gt2 = models.gpool_2_node([3, 1], [3, 1], adj, 1, depth=1)
outp = gt2([x_1, x_2])
f1 = gt2.layers[0](x_1) # input layer
f2 = gt2.layers[1](f1) # fully_3d
f3 = gt2.layers[2](f2) # BN
f4 = gt2.layers[3](f3) # relu
f5 = gt2.layers[4](f4) # Dropout
f6 = gt2.layers[5](x_2) # input layer
f7 = tf.concat((f5, f6), axis=2) # concatenate inputs.
f8 = gt2.layers[7](f7) # graph pooling.
f9 = gt2.layers[8](f8) # BN
f10 = gt2.layers[9](f9) # relu
f11 = gt2.layers[10](f10) # Dropout
f12 = gt2.layers[11](f11) # graph pooling.
f13 = gt2.layers[12](f12) # BN
f14 = gt2.layers[13](f13) # relu
f15 = gt2.layers[14](f14) # Dropout
f16 = gt2.layers[15](f15) # graph pooling
expected_outp = gt2.layers[16](f16) # Flatten
self.assertAllClose(expected_outp, outp)
if __name__ == '__main__':
tf.test.main()
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0
| 7
|
21ba40275c6ffda5a2ac7b9f99dc9119156e3028
| 68,561
|
py
|
Python
|
benchmarks/SimResults/combinations_spec_pinned/oldstuff/cmp_perlbenchgamessbzip2calculix/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/combinations_spec_pinned/oldstuff/cmp_perlbenchgamessbzip2calculix/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/combinations_spec_pinned/oldstuff/cmp_perlbenchgamessbzip2calculix/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.25275,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.401209,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 1.06824,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.726972,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.25885,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.721988,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.70781,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.554805,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 8.08577,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.201813,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0263533,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.297256,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.194899,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.499069,
'Execution Unit/Register Files/Runtime Dynamic': 0.221252,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.787535,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.76007,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 5.49572,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00212999,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00212999,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0018627,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000725173,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00279974,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00892242,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0201549,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.187361,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.460202,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.636363,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96874,
'Instruction Fetch Unit/Runtime Dynamic': 1.313,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0239757,
'L2/Runtime Dynamic': 0.00602334,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 6.71946,
'Load Store Unit/Data Cache/Runtime Dynamic': 2.64236,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.177367,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.177367,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 7.56043,
'Load Store Unit/Runtime Dynamic': 3.69444,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.437356,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.874712,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.155219,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.15549,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
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'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
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'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00808208,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0216546,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
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'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
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'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.68896,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.229638,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.196976,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 6.0865,
'Instruction Fetch Unit/Runtime Dynamic': 0.514345,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0297368,
'L2/Runtime Dynamic': 0.00581408,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.07728,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.886624,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0595337,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0595337,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.35841,
'Load Store Unit/Runtime Dynamic': 1.23976,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.1468,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.2936,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Peak Dynamic': 0.474973,
'Memory Management Unit/Runtime Dynamic': 0.0905653,
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'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 17.7973,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/Free List/Area': 0.0340654,
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'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
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'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Peak Dynamic': 4.3832,
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'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
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'Execution Unit/Runtime Dynamic': 2.03471,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
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'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00111546,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00706176,
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'Instruction Fetch Unit/Runtime Dynamic': 0.601666,
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'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
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'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
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'Load Store Unit/Peak Dynamic': 4.13074,
'Load Store Unit/Runtime Dynamic': 1.7088,
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'Memory Management Unit/Itlb/Area': 0.301552,
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'Execution Unit/Peak Dynamic': 6.4931,
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'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
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'Execution Unit/Register Files/Integer RF/Area': 0.362673,
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
801554f08c61d04d9a8d94ed692c90bf12d65e61
| 2,454
|
py
|
Python
|
test/test_annealing_optimizer.py
|
efortner/tunepy
|
28ab7aa0b851d42cf2a81a5573fb24b261daba89
|
[
"MIT"
] | null | null | null |
test/test_annealing_optimizer.py
|
efortner/tunepy
|
28ab7aa0b851d42cf2a81a5573fb24b261daba89
|
[
"MIT"
] | null | null | null |
test/test_annealing_optimizer.py
|
efortner/tunepy
|
28ab7aa0b851d42cf2a81a5573fb24b261daba89
|
[
"MIT"
] | null | null | null |
import unittest
from tunepy2.interfaces.stubs import PassThroughAnnealingSchedule, PassThroughGenomeFactory, NumpyCustomRandom
from tunepy2.optimizers import BasicAnnealingOptimizer
from tunepy2.internal import Genome
class TestAnnealingOptimizer(unittest.TestCase):
def test_worse_solution_acceptance(self):
def fitness_func_zero(bitstring):
return 0
def fitness_func_one(bitstring):
return 1
initial_candidate = Genome(fitness_func_one, (0,))
initial_candidate.run()
annealing_schedule = PassThroughAnnealingSchedule(0.9, True)
genome_builder = PassThroughGenomeFactory(Genome(fitness_func_zero, (1,)))
rng = NumpyCustomRandom(0.0, 1)
optimizer = BasicAnnealingOptimizer(initial_candidate, genome_builder, annealing_schedule, rng)
optimizer.next()
self.assertEqual(0, optimizer.best_genome.fitness)
self.assertAlmostEqual(0.9, optimizer.temperature)
def test_better_solution_acceptance(self):
def fitness_func_zero(bitstring):
return 0
def fitness_func_one(bitstring):
return 1
initial_candidate = Genome(fitness_func_zero, (0,))
initial_candidate.run()
annealing_schedule = PassThroughAnnealingSchedule(0.9, True)
genome_builder = PassThroughGenomeFactory(Genome(fitness_func_one, (1,)))
rng = NumpyCustomRandom(0.0, 1)
optimizer = BasicAnnealingOptimizer(initial_candidate, genome_builder, annealing_schedule, rng)
optimizer.next()
self.assertEqual(1, optimizer.best_genome.fitness)
self.assertAlmostEqual(0.9, optimizer.temperature)
def test_convergence(self):
def fitness_func_zero(bitstring):
return 0
initial_candidate = Genome(fitness_func_zero, (0,))
initial_candidate.run()
annealing_schedule = PassThroughAnnealingSchedule(0.9, True)
genome_builder = PassThroughGenomeFactory(Genome(fitness_func_zero, (1,)))
rng = NumpyCustomRandom(0.0, 1)
optimizer = BasicAnnealingOptimizer(initial_candidate, genome_builder, annealing_schedule, rng)
self.assertFalse(optimizer.converged)
self.assertAlmostEqual(0.9, optimizer.temperature)
optimizer.next()
self.assertTrue(optimizer.converged)
self.assertAlmostEqual(0.9, optimizer.temperature)
if __name__ == '__main__':
unittest.main()
| 35.057143
| 110
| 0.713529
| 246
| 2,454
| 6.873984
| 0.215447
| 0.071555
| 0.062093
| 0.049675
| 0.798936
| 0.798936
| 0.798936
| 0.798936
| 0.704317
| 0.704317
| 0
| 0.01999
| 0.204971
| 2,454
| 69
| 111
| 35.565217
| 0.846745
| 0
| 0
| 0.673469
| 0
| 0
| 0.00326
| 0
| 0
| 0
| 0
| 0
| 0.163265
| 1
| 0.163265
| false
| 0.142857
| 0.081633
| 0.102041
| 0.367347
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
|
0
| 7
|
8031c237b1d521c44f9d249efd9896856a97ecf1
| 192
|
py
|
Python
|
github/commands/__init__.py
|
timfjord/GitSavvy
|
c0a627c30da79cb10a5a33f30d92d177f78da0ab
|
[
"MIT"
] | 2,058
|
2015-02-27T19:06:31.000Z
|
2019-10-17T13:42:11.000Z
|
github/commands/__init__.py
|
timfjord/GitSavvy
|
c0a627c30da79cb10a5a33f30d92d177f78da0ab
|
[
"MIT"
] | 1,057
|
2015-02-11T23:14:56.000Z
|
2019-10-17T20:17:23.000Z
|
github/commands/__init__.py
|
divmain/GitGadget
|
6452528d22a13c6f3169ad20619471d261e576bf
|
[
"MIT"
] | 180
|
2015-03-06T14:26:05.000Z
|
2019-10-12T06:28:21.000Z
|
from .open_on_remote import *
from .commit import *
from .configure import *
from .create_fork import *
from .add_fork_as_remote import *
from .pull_request import *
from .open_issue import *
| 24
| 33
| 0.78125
| 29
| 192
| 4.896552
| 0.482759
| 0.422535
| 0.225352
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145833
| 192
| 7
| 34
| 27.428571
| 0.865854
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
337b001247be39109fa44fb4e0d52891cc56810f
| 21,631
|
py
|
Python
|
src/ryn.py
|
ikekt/topicalgibbs
|
2f58fde2563300cd92675f59e95a04a06a94eb87
|
[
"MIT"
] | null | null | null |
src/ryn.py
|
ikekt/topicalgibbs
|
2f58fde2563300cd92675f59e95a04a06a94eb87
|
[
"MIT"
] | null | null | null |
src/ryn.py
|
ikekt/topicalgibbs
|
2f58fde2563300cd92675f59e95a04a06a94eb87
|
[
"MIT"
] | null | null | null |
import matplotlib.pyplot as plt
import numpy as np
pg_stats=[[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 ,1.02 ,-1.43],
[ 0.97 ,-1.4 ,1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97, -1.4 , 1.02 ,-1.43],
[ 0.97, -1.4 , 1.02 ,-1.43],
[ 0.97, -1.4 , 1.02 ,-1.43],
[ 0.97, -1.4 , 1.02 ,-1.43],
[ 0.97, -1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.96 ,-1.39 , 1. ,-1.42],
[ 0.94 ,-1.39 , 0.99 ,-1.41],
[ 0.93 ,-1.38 , 0.97 ,-1.4 ],
[ 0.92 ,-1.37 , 0.96 ,-1.39],
[ 0.91 ,-1.37 , 0.95 ,-1.39],
[ 0.9 ,-1.36 , 0.94 ,-1.38],
[ 0.89 ,-1.36 , 0.93 ,-1.38],
[ 0.88 ,-1.35 , 0.92 ,-1.37],
[ 0.87 ,-1.35 , 0.91 ,-1.37],
[ 0.86 ,-1.34 , 0.9 ,-1.36],
[ 0.86 ,-1.34 , 0.9 ,-1.36],
[ 0.85 ,-1.33 , 0.89 ,-1.36],
[ 0.84 ,-1.33 ,0.88 ,-1.35],
[ 0.84 ,-1.33 , 0.88 ,-1.35],
[ 0.83 ,-1.32 , 0.87 ,-1.35],
[ 0.83 ,-1.32 , 0.87 ,-1.34],
[ 0.82 ,-1.32 , 0.86 ,-1.34],
[ 0.82 ,-1.32 , 0.86 ,-1.34],
[ 0.81 ,-1.31 , 0.85 ,-1.34],
[ 0.81 ,-1.31 , 0.85 ,-1.33],
[ 0.8 ,-1.31 , 0.84 ,-1.33],
[ 0.8 ,-1.31 , 0.84 ,-1.33],
[ 0.79 ,-1.3 , 0.83 ,-1.33],
[ 0.79 ,-1.3 , 0.83 ,-1.33],
[ 0.79 ,-1.3 , 0.83 ,-1.32],
[ 0.79 ,-1.3 ,0.82 ,-1.32],
[ 0.78 ,-1.3 , 0.82 ,-1.32],
[ 0.78 ,-1.3 , 0.82 ,-1.32],
[ 0.78 ,-1.29 , 0.82 ,-1.32],
[ 0.77 ,-1.29 , 0.81 ,-1.32],
[ 0.77 ,-1.29 , 0.81 ,-1.31],
[ 0.77 ,-1.29 , 0.81 ,-1.31],
[ 0.77 ,-1.29 , 0.81 ,-1.31],
[ 0.77 ,-1.29 , 0.8 ,-1.31],
[ 0.76 ,-1.29 , 0.8 ,-1.31],
[ 0.76 ,-1.29 , 0.8 ,-1.31],
[ 0.76 ,-1.29 , 0.8 ,-1.31],
[ 0.76 ,-1.28 , 0.8 ,-1.31],
[ 0.76 ,-1.28 , 0.8 ,-1.31],
[ 0.76 ,-1.28 , 0.79 ,-1.31],
[ 0.75 ,-1.28 , 0.79 ,-1.3 ],
[ 0.75 ,-1.28 , 0.79 ,-1.3 ],
[ 0.75 ,-1.28 , 0.79 ,-1.3 ],
[ 0.75 ,-1.28 , 0.79 ,-1.3 ],
[ 0.75 ,-1.28 , 0.79 ,-1.3 ],
[ 0.75 ,-1.28 , 0.79 ,-1.3 ],
[ 0.75 ,-1.28 , 0.78 ,-1.3 ],
[ 0.75 ,-1.28 , 0.78 ,-1.3 ],
[ 0.74 ,-1.28 , 0.78 ,-1.3 ],
[ 0.74 ,-1.28 , 0.78 ,-1.3 ],
[ 0.74 ,-1.28 , 0.78 ,-1.3 ],
[ 0.74 ,-1.27 , 0.78 ,-1.3 ],
[ 0.74 ,-1.27 , 0.78 ,-1.3 ],
[ 0.74 ,-1.27 , 0.78 ,-1.3 ],
[ 0.74 ,-1.27 , 0.78 ,-1.3 ],
[ 0.74 ,-1.27 , 0.78 ,-1.29],
[ 0.74 ,-1.27 , 0.77 ,-1.29],
[ 0.74 ,-1.27 , 0.77 ,-1.29],
[ 0.74 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 ,0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.77 ,-1.29],
[ 0.73 ,-1.27 , 0.76 ,-1.29],
[ 0.73 ,-1.26 , 0.76 ,-1.29],
[ 0.73 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.29],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.76 ,-1.28],
[ 0.72 ,-1.26 , 0.75 ,-1.28],
[ 0.72 ,-1.26 , 0.75 ,-1.28],
[ 0.72 ,-1.26 , 0.75 ,-1.28],
[ 0.72 ,-1.26 , 0.75 ,-1.28],
[ 0.72 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.26 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25, 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.75 ,-1.28],
[ 0.71 ,-1.25 , 0.74 ,-1.28],
[ 0.71 ,-1.25 , 0.74 ,-1.28],
[ 0.71 ,-1.25 , 0.74 ,-1.28],
[ 0.71 ,-1.25 , 0.74 ,-1.28],
[ 0.71 ,-1.25 , 0.74 ,-1.28],
[ 0.71 ,-1.25 , 0.74 ,-1.28],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.71 ,-1.25 , 0.74 ,-1.27],
[ 0.7 ,-1.25 , 0.74 ,-1.27],
[ 0.7 ,-1.25 , 0.74 ,-1.27],
[ 0.7 ,-1.25 , 0.74 ,-1.27],
[ 0.7 ,-1.25 , 0.74 ,-1.27],
[ 0. , 0. , 0. , 0. ]]
mse_train_array=[]
mse_log_prob_train_array = []
mse_test_array=[]
mse_log_prob_test_array =[]
for ele in pg_stats:
mse_train_array.append(ele[0])
mse_log_prob_train_array.append(ele[1])
mse_test_array.append(ele[2])
mse_log_prob_test_array.append(ele[3])
plt.figure(1)
plt.subplot(211)
plt.plot(mse_train_array,'b--')
plt.ylabel('MSE on training set')
plt.title('MSE and Loglikelihood Training of Ryn(pGibbs)')
plt.xlabel('Number of time steps')
plt.subplot(212)
plt.plot(mse_log_prob_train_array,'r--')
plt.ylabel('Log probability on training set')
plt.xlabel('Number of time steps')
plt.show()
plt.figure(2)
plt.subplot(211)
plt.plot(mse_train_array,'b--')
plt.ylabel('MSE on test set')
plt.title('MSE and Loglikelihood on test set of Ryn(pGibbs)')
plt.xlabel('Number of time steps')
plt.subplot(212)
plt.plot(mse_log_prob_test_array,'g--')
plt.ylabel('Log probability on test set')
plt.xlabel('Number of time steps')
plt.show()
cgm_stats= [[ 0.97, -1.4 , 1.02 ,-1.43],
[ 0.94, -1.39 , 0.98 ,-1.41],
[ 0.93, -1.38 , 0.96 ,-1.4 ],
[ 0.92, -1.38 , 0.95 ,-1.4 ],
[ 0.92, -1.38 , 0.95 ,-1.39],
[ 0.92, -1.38 , 0.95 ,-1.39],
[ 0.91, -1.37, 0.94 ,-1.39],
[ 0.9 , -1.37 , 0.93 ,-1.38],
[ 0.9 , -1.37 , 0.93 ,-1.38],
[ 0.89, -1.36 , 0.92 ,-1.38],
[ 0.89, -1.36 , 0.92 ,-1.38],
[ 0.89, -1.36 , 0.91 ,-1.38],
[ 0.88, -1.36 , 0.91 ,-1.37],
[ 0.88, -1.36 , 0.91 ,-1.37],
[ 0.88, -1.36 , 0.91 ,-1.37],
[ 0.88, -1.36 , 0.91 ,-1.37],
[ 0.88, -1.36 , 0.91 ,-1.37],
[ 0.88, -1.36 , 0.91 ,-1.37],
[ 0.88, -1.36 , 0.91 ,-1.37],
[ 0.88, -1.36 , 0.91 ,-1.37],
[ 0.88, -1.35 , 0.91 ,-1.37],
[ 0.88, -1.35 , 0.91 ,-1.37],
[ 0.88, -1.35 , 0.9 ,-1.37],
[ 0.88, -1.35 , 0.9 ,-1.37],
[ 0.87, -1.35 , 0.9 , -1.37],
[ 0.87, -1.35 , 0.9 ,-1.37],
[ 0.87, -1.35 , 0.9 ,-1.37],
[ 0.87, -1.35 , 0.9 ,-1.37],
[ 0.87, -1.35 , 0.9 ,-1.36],
[ 0.86, -1.35 , 0.89 ,-1.36],
[ 0.86, -1.35 , 0.89 ,-1.36],
[ 0.86, -1.34 , 0.89 ,-1.36],
[ 0.86, -1.34 , 0.89 ,-1.36],
[ 0.85, -1.34 , 0.88 ,-1.36],
[ 0.85, -1.34 , 0.88 ,-1.36],
[ 0.85, -1.34 , 0.88 ,-1.36],
[ 0.85, -1.34 , 0.88 ,-1.36],
[ 0.85, -1.34 , 0.88 ,-1.35],
[ 0.85, -1.34 , 0.88, -1.35],
[ 0.84, -1.34 , 0.88, -1.35],
[ 0.84, -1.33 , 0.87, -1.35],
[ 0.84, -1.33 , 0.87, -1.35],
[ 0.84, -1.33 , 0.87, -1.35],
[ 0.84, -1.33 , 0.87, -1.35],
[ 0.84, -1.33 , 0.87, -1.35],
[ 0.84, -1.33 , 0.87, -1.35],
[ 0.84, -1.33 ,0.87, -1.35],
[ 0.83, -1.33 ,0.87, -1.35],
[ 0.83, -1.33 ,0.87, -1.35],
[ 0.83, -1.33 ,0.87, -1.35],
[ 0.83, -1.33 ,0.87, -1.35],
[ 0.83, -1.33 ,0.87 ,-1.35],
[ 0.83, -1.33 ,0.86 ,-1.35],
[ 0.83, -1.33 ,0.86 ,-1.35],
[ 0.83, -1.33 ,0.86 ,-1.35],
[ 0.83, -1.33 ,0.86 ,-1.34],
[ 0.83, -1.33 ,0.86 ,-1.34],
[ 0.83, -1.33 ,0.86 ,-1.34],
[ 0.83, -1.32 ,0.86 ,-1.34],
[ 0.82, -1.32 ,0.86 ,-1.34],
[ 0.82, -1.32 ,0.86 ,-1.34],
[ 0.82, -1.32 ,0.86 ,-1.34],
[ 0.82, -1.32 ,0.85 ,-1.34],
[ 0.82, -1.32 ,0.85 ,-1.34],
[ 0.82, -1.32 ,0.85 ,-1.34],
[ 0.82, -1.32 ,0.85 ,-1.34],
[ 0.81, -1.32 ,0.85 ,-1.34],
[ 0.81, -1.32 ,0.85 ,-1.34],
[ 0.81, -1.32 ,0.85 ,-1.34],
[ 0.81, -1.32 ,0.85 ,-1.33],
[ 0.81, -1.31 ,0.84 ,-1.33],
[ 0.81, -1.31 ,0.84 ,-1.33],
[ 0.81, -1.31 ,0.84 ,-1.33],
[ 0.81, -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84, -1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.83 ,-1.33],
[ 0.8 , -1.31 ,0.83 ,-1.33],
[ 0.8 , -1.31 ,0.83 ,-1.33],
[ 0.8 , -1.31 ,0.83 ,-1.33],
[ 0.79, -1.31 ,0.83 ,-1.33],
[ 0.79, -1.31 ,0.83 ,-1.33],
[ 0.79, -1.31 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.32],
[ 0.79, -1.3 ,0.83 ,-1.32],
[ 0.79, -1.3 ,0.83 ,-1.32],
[ 0.79, -1.3 ,0.83 ,-1.32],
[ 0.79, -1.3 ,0.83 ,-1.32],
[ 0.79, -1.3 , 0.83 ,-1.32],
[ 0.79, -1.3 , 0.83 ,-1.32],
[ 0.79, -1.3 , 0.83 ,-1.32],
[ 0.79, -1.3 , 0.83 ,-1.32],
[ 0.79, -1.3 , 0.83 ,-1.32],
[ 0.79, -1.3 , 0.83 ,-1.32],
[ 0.79, -1.3 , 0.83 ,-1.32],
[ 0.79, -1.3 , 0.83 ,-1.32],
[ 0.79, -1.3 , 0.82 ,-1.32],
[ 0.79, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.3 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.78, -1.29 , 0.82 ,-1.32],
[ 0.77, -1.29 , 0.82 ,-1.32],
[ 0.77, -1.29 , 0.82 ,-1.32],
[ 0.77, -1.29 , 0.82 ,-1.32],
[ 0.77, -1.29 , 0.81 ,-1.32],
[ 0.77, -1.29 , 0.81 ,-1.32],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.77, -1.29 , 0.81 ,-1.31],
[ 0.76, -1.29 , 0.81, -1.31],
[ 0.76, -1.29 , 0.81, -1.31],
[ 0.76, -1.29 , 0.81, -1.31],
[ 0.76, -1.29 , 0.81, -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.76, -1.28 , 0.8 , -1.31],
[ 0.75, -1.28 , 0.8 , -1.3 ],
[ 0.75, -1.28 , 0.8 , -1.3 ],
[ 0.75, -1.28 , 0.8 , -1.3 ],
[ 0.75, -1.28 , 0.8 , -1.3 ],
[ 0.75, -1.28 , 0.8 , -1.3 ],
[ 0.75, -1.28 , 0.8 , -1.3 ],
[ 0.75, -1.28 , 0.79, -1.3 ],
[ 0.75, -1.28 , 0.79 ,-1.3 ],
[ 0.75, -1.28 , 0.79 ,-1.3 ],
[ 0.75, -1.28 , 0.79 ,-1.3 ],
[ 0.75, -1.28 , 0.79 ,-1.3 ],
[ 0.75, -1.28 , 0.79 ,-1.3 ],
[ 0.75, -1.28, 0.79 ,-1.3 ],
[ 0.75, -1.28 , 0.79 ,-1.3 ],
[ 0.75, -1.28 , 0.79 ,-1.3 ],
[ 0.75 ,-1.28 , 0.79 ,-1.3 ],
[ 0. , 0. , 0. , 0. ]]
# mse_train_array=[]
# mse_log_prob_train_array = []
# mse_test_array=[]
# mse_log_prob_test_array =[]
# for ele in pg_stats:
# mse_train_array.append(ele[0])
# mse_log_prob_train_array.append(ele[1])
# mse_test_array.append(ele[2])
# mse_log_prob_test_array.append(ele[3])
# plt.figure(1)
# plt.subplot(211)
# plt.plot(mse_train_array,'b--')
# plt.ylabel('MSE on training set')
# plt.title('MSE and Loglikelihood Training of Ryn(CGM)')
# plt.xlabel('Number of time steps')
# plt.subplot(212)
# plt.plot(mse_log_prob_train_array,'r--')
# plt.ylabel('Log probability on training set')
# plt.xlabel('Number of time steps')
# plt.show()
# plt.figure(2)
# plt.subplot(211)
# plt.plot(mse_train_array,'b--')
# plt.ylabel('MSE on test set')
# plt.title('MSE and Loglikelihood on test set of Ryn(CGM)')
# plt.xlabel('Number of time steps')
# plt.subplot(212)
# plt.plot(mse_log_prob_test_array,'g--')
# plt.ylabel('Log probability on test set')
# plt.xlabel('Number of time steps')
# plt.show()
growprune_stats=[[ 0.97 ,-1.4 , 1.02 ,-1.43],
[ 0.94, -1.39 , 0.98 ,-1.41],
[ 0.92, -1.38 , 0.95 ,-1.4 ],
[ 0.91, -1.37 ,0.95 ,-1.39],
[ 0.9 , -1.37 ,0.94 ,-1.39],
[ 0.9 , -1.36 ,0.93 ,-1.38],
[ 0.89 ,-1.36 ,0.93 ,-1.38],
[ 0.89 ,-1.36 ,0.92 ,-1.38],
[ 0.88 ,-1.36 ,0.92 ,-1.38],
[ 0.88 ,-1.36 ,0.91 ,-1.37],
[ 0.88 ,-1.35 ,0.91 ,-1.37],
[ 0.88 ,-1.35 ,0.91 ,-1.37],
[ 0.87 ,-1.35 ,0.91 ,-1.37],
[ 0.87 ,-1.35 ,0.91 ,-1.37],
[ 0.87 ,-1.35 ,0.91 ,-1.37],
[ 0.87 ,-1.35 ,0.9 ,-1.37],
[ 0.87 ,-1.35 ,0.9 ,-1.37],
[ 0.86 ,-1.35 ,0.9 ,-1.36],
[ 0.86 ,-1.34 ,0.89 ,-1.36],
[ 0.86 ,-1.34 ,0.89 ,-1.36],
[ 0.85 ,-1.34 ,0.89 ,-1.36],
[ 0.85 ,-1.34 ,0.89 ,-1.36],
[ 0.85 ,-1.34 ,0.89 ,-1.36],
[ 0.85 ,-1.34 ,0.88 ,-1.36],
[ 0.85 ,-1.34 ,0.88 ,-1.36],
[ 0.85 ,-1.34 ,0.88 ,-1.36],
[ 0.84 ,-1.33 ,0.88 ,-1.35],
[ 0.84 ,-1.33 ,0.88 ,-1.35],
[ 0.84 ,-1.33 ,0.88 ,-1.35],
[ 0.84 ,-1.33 ,0.87 ,-1.35],
[ 0.83 ,-1.33 ,0.87 ,-1.35],
[ 0.83 ,-1.33 ,0.87 ,-1.35],
[ 0.83 ,-1.33 ,0.87 ,-1.35],
[ 0.83 ,-1.33 ,0.87 ,-1.35],
[ 0.83 ,-1.33 ,0.87 ,-1.35],
[ 0.83 ,-1.33 ,0.87 ,-1.35],
[ 0.83 ,-1.32 ,0.87 ,-1.35],
[ 0.83 ,-1.32 ,0.86 ,-1.35],
[ 0.83 ,-1.32 ,0.86 ,-1.35],
[ 0.82 ,-1.32 ,0.86 ,-1.35],
[ 0.82 ,-1.32 ,0.86 ,-1.35],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.86 ,-1.34],
[ 0.82 ,-1.32 ,0.85 ,-1.34],
[ 0.81 ,-1.32 ,0.85 ,-1.34],
[ 0.81 ,-1.32 ,0.85 ,-1.34],
[ 0.81 ,-1.32 ,0.85 ,-1.34],
[ 0.81 ,-1.32 ,0.85 ,-1.34],
[ 0.81 ,-1.32 ,0.85 ,-1.34],
[ 0.81 ,-1.32 ,0.85 ,-1.34],
[ 0.81 ,-1.32 ,0.85 ,-1.34],
[ 0.81 ,-1.31 ,0.85 ,-1.34],
[ 0.81 ,-1.31 ,0.85 ,-1.34],
[ 0.81 ,-1.31 ,0.85 ,-1.34],
[ 0.81 ,-1.31 ,0.85 ,-1.34],
[ 0.81 ,-1.31 ,0.85 ,-1.34],
[ 0.81 ,-1.31 ,0.85 ,-1.34],
[ 0.81 ,-1.31 ,0.85 ,-1.34],
[ 0.81 ,-1.31 ,0.85 ,-1.34],
[ 0.8 ,-1.31 ,0.84 ,-1.33],
[ 0.8 ,-1.31 ,0.84 ,-1.33],
[ 0.8 ,-1.31 ,0.84 ,-1.33],
[ 0.8 ,-1.31 ,0.84 ,-1.33],
[ 0.8 ,-1.31 ,0.84 ,-1.33],
[ 0.8 ,-1.31 ,0.84 ,-1.33],
[ 0.8 ,-1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.31 ,0.84 ,-1.33],
[ 0.8 , -1.3 ,0.84 ,-1.33],
[ 0.79, -1.3 ,0.84 ,-1.33],
[ 0.79, -1.3 ,0.84 ,-1.33],
[ 0.79, -1.3 ,0.84 ,-1.33],
[ 0.79, -1.3 ,0.84 ,-1.33],
[ 0.79, -1.3 ,0.84 ,-1.33],
[ 0.79 ,-1.3 ,0.84 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79 ,-1.3 , 0.83 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79 ,-1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.79, -1.3 ,0.83 ,-1.33],
[ 0.78 ,-1.3 ,0.83 ,-1.32],
[ 0.78 ,-1.3 ,0.83 ,-1.32],
[ 0.78 ,-1.3 ,0.83 ,-1.32],
[ 0.78 ,-1.3 ,0.83 ,-1.32],
[ 0.78 ,-1.3 ,0.83 ,-1.32],
[ 0.78 ,-1.3 ,0.83 ,-1.32],
[ 0.78 ,-1.3 ,0.83 ,-1.32],
[ 0.78 ,-1.3 ,0.83 ,-1.32],
[ 0.78 ,-1.3 ,0.82 ,-1.32],
[ 0.78 ,-1.3 ,0.82 ,-1.32],
[ 0.78 ,-1.3 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.78 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.82 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.32],
[ 0.77 ,-1.29 ,0.81 ,-1.31],
[ 0.77 ,-1.29 ,0.81 ,-1.31],
[ 0.77 ,-1.29 ,0.81 ,-1.31],
[ 0.77 ,-1.29 ,0.81 ,-1.31],
[ 0.76 ,-1.29 ,0.81 ,-1.31],
[ 0.76 ,-1.29 ,0.81 ,-1.31],
[ 0.76 ,-1.29 ,0.81 ,-1.31],
[ 0.76 ,-1.29 ,0.81 ,-1.31],
[ 0.76 ,-1.29 ,0.81 ,-1.31],
[ 0.76 ,-1.29 ,0.81 ,-1.31],
[ 0.76 ,-1.29 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.81 ,-1.31],
[ 0.76 ,-1.28 ,0.8 ,-1.31],
[ 0. , 0. ,0. , 0. ]]
# mse_train_array_growprune=[]
# mse_log_prob_train_array_growprune = []
# mse_test_array_growprune=[]
# mse_log_prob_test_array_growprune =[]
# for ele in growprune_stats:
# mse_train_array_growprune.append(ele[0])
# mse_log_prob_train_array_growprune.append(ele[1])
# mse_test_array_growprune.append(ele[2])
# mse_log_prob_test_array_growprune.append(ele[3])
# plt.figure(3)
# plt.subplot(211)
# plt.plot(mse_train_array_growprune)
# plt.ylabel('MSE on training set')
# plt.xlabel('Number of time steps')
# plt.subplot(212)
# plt.plot(mse_log_prob_train_array_growprune,'r--')
# plt.ylabel('Log probability on training set')
# plt.xlabel('Number of time steps')
# plt.show()
# plt.figure(4)
# plt.subplot(211)
# plt.plot(mse_train_array_growprune,'b--')
# plt.ylabel('MSE on test set')
# plt.xlabel('Number of time steps')
# plt.subplot(212)
# plt.plot(mse_log_prob_test_array_growprune,'g--')
# plt.ylabel('Log probability on test set')
# plt.xlabel('Number of time steps')
# plt.show()
| 30.725852
| 61
| 0.424252
| 5,300
| 21,631
| 1.707736
| 0.018491
| 0.051376
| 0.068501
| 0.067617
| 0.987957
| 0.976025
| 0.963319
| 0.957242
| 0.949287
| 0.925644
| 0
| 0.414767
| 0.221118
| 21,631
| 704
| 62
| 30.725852
| 0.122448
| 0.086589
| 0
| 0.922591
| 0
| 0
| 0.014062
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.00316
| 0
| 0.00316
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
33946ffbef813c0d7b7f2987c207555b6f6d9809
| 144
|
py
|
Python
|
magicwand-data-generator/magicwand/magicwand_utils/__init__.py
|
gregpaton08/magicwand-datatool
|
c1352d8ea6da23a619a7107ab04dc3ff62212228
|
[
"MIT"
] | 22
|
2020-11-30T18:27:55.000Z
|
2022-03-02T12:13:29.000Z
|
magicwand-data-generator/magicwand/magicwand_utils/__init__.py
|
gregpaton08/magicwand-datatool
|
c1352d8ea6da23a619a7107ab04dc3ff62212228
|
[
"MIT"
] | 7
|
2020-11-30T18:34:10.000Z
|
2021-02-11T13:52:49.000Z
|
magicwand-data-generator/magicwand/magicwand_utils/__init__.py
|
gregpaton08/magicwand-datatool
|
c1352d8ea6da23a619a7107ab04dc3ff62212228
|
[
"MIT"
] | 2
|
2021-01-26T20:25:22.000Z
|
2021-05-30T07:32:31.000Z
|
"""
Purpose:
Exporting Utils
"""
# Export Utils
from .init_utils import *
from .magicwand_utils import *
from .start_runs import *
| 14.4
| 30
| 0.673611
| 17
| 144
| 5.529412
| 0.588235
| 0.234043
| 0.319149
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.229167
| 144
| 9
| 31
| 16
| 0.846847
| 0.291667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
33988497d5a65d8e724d59cc022b10ad5daf65c6
| 2,793
|
py
|
Python
|
src/data/schemas.py
|
kennethkichan/football_bets
|
e294cd47cfe8e796f6e496fda3b8e8905abe4c70
|
[
"MIT"
] | null | null | null |
src/data/schemas.py
|
kennethkichan/football_bets
|
e294cd47cfe8e796f6e496fda3b8e8905abe4c70
|
[
"MIT"
] | null | null | null |
src/data/schemas.py
|
kennethkichan/football_bets
|
e294cd47cfe8e796f6e496fda3b8e8905abe4c70
|
[
"MIT"
] | null | null | null |
import pandas as pd
from pathlib import Path
import datetime
dir = 'data/raw/'
def create_fixtures():
"""
Creates fixture table
- Checks if exists, if not then create
"""
path = Path(dir + 'fixtures.csv')
if path.is_file():
print(f'The file {path} exists')
else:
print('File does not exist')
df = pd.DataFrame(
{
'fixture_id': pd.Series(dtype='int'),
'referee': pd.Series(dtype='str'),
'timestamp': pd.Series(dtype='int'),
'venue_id': pd.Series(dtype='int'),
'home_id': pd.Series(dtype='int'),
'away_id': pd.Series(dtype='int'),
'created_datetime': pd.Series(dtype='datetime64[ns]'),
'modified_datetime': pd.Series(dtype='datetime64[ns]')
}
)
df.to_csv(path, index=False)
def create_predictions():
"""
Creates predictions table
- Checks if exists, if not then create
"""
path = Path(dir + 'predictions.csv')
if path.is_file():
print(f'The file {path} exists')
else:
print('File does not exist')
df = pd.DataFrame(
{
'fixture_id': pd.Series(dtype='int'),
'referee': pd.Series(dtype='str'),
'timestamp': pd.Series(dtype='int'),
'venue_id': pd.Series(dtype='int'),
'home_id': pd.Series(dtype='int'),
'away_id': pd.Series(dtype='int'),
'created_datetime': pd.Series(dtype='datetime64[ns]'),
'modifed_datetime': pd.Series(dtype='datetime64[ns]')
}
)
df.to_csv(path, index=False)
def create_results():
"""
Creates results table
- Checks if exists, if not then create
"""
path = Path(dir + 'results.csv')
if path.is_file():
print(f'The file {path} exists')
else:
print('File does not exist')
df = pd.DataFrame(
{
'fixture_id': pd.Series(dtype='int'),
'referee': pd.Series(dtype='str'),
'timestamp': pd.Series(dtype='int'),
'venue_id': pd.Series(dtype='int'),
'home_id': pd.Series(dtype='int'),
'away_id': pd.Series(dtype='int'),
'winner_home': pd.Series(dtype='bool'),
'winner_away': pd.Series(dtype='bool'),
'fulltime_home': pd.Series(dtype='int'),
'fulltime_away': pd.Series(dtype='int'),
'halftime_home': pd.Series(dtype='int'),
'halftime_home': pd.Series(dtype='int'),
'created_datetime': pd.Series(dtype='datetime64[ns]'),
'modified_datetime': pd.Series(dtype='datetime64[ns]')
}
)
df.to_csv(path, index=False)
#create_fixtures()
create_results()
| 29.712766
| 66
| 0.537773
| 326
| 2,793
| 4.5
| 0.174847
| 0.163599
| 0.265849
| 0.207226
| 0.811861
| 0.798228
| 0.798228
| 0.798228
| 0.798228
| 0.798228
| 0
| 0.006144
| 0.300752
| 2,793
| 94
| 67
| 29.712766
| 0.745008
| 0.07304
| 0
| 0.632353
| 0
| 0
| 0.254344
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.044118
| false
| 0
| 0.044118
| 0
| 0.088235
| 0.088235
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
33dd6b600f8662957f88b07625c18798f2772d2f
| 206
|
py
|
Python
|
chainer/dataset/tabular/__init__.py
|
belldandyxtq/chainer
|
abffa9a7def07c2e6bcd79d8ddcebeed1e762161
|
[
"MIT"
] | null | null | null |
chainer/dataset/tabular/__init__.py
|
belldandyxtq/chainer
|
abffa9a7def07c2e6bcd79d8ddcebeed1e762161
|
[
"MIT"
] | null | null | null |
chainer/dataset/tabular/__init__.py
|
belldandyxtq/chainer
|
abffa9a7def07c2e6bcd79d8ddcebeed1e762161
|
[
"MIT"
] | null | null | null |
from chainer.dataset.tabular import _as_mode # NOQA
from chainer.dataset.tabular import _concat # NOQA
from chainer.dataset.tabular import _join # NOQA
from chainer.dataset.tabular import _slice # NOQA
| 41.2
| 52
| 0.805825
| 29
| 206
| 5.551724
| 0.37931
| 0.273292
| 0.447205
| 0.621118
| 0.844721
| 0.652174
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135922
| 206
| 4
| 53
| 51.5
| 0.904494
| 0.092233
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 8
|
d509e820a7e829da056c62e791822d29f33504a5
| 467
|
py
|
Python
|
tests/parser/checker.3.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
tests/parser/checker.3.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
tests/parser/checker.3.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
input = """
% Example of non-HCF program
% By Cristinel Mateis.
% Originally known as "full-head-cycle".
a | b.
c :- a.
c :- b.
d | e :- a.
d :- e.
e :- d, not b.
% solutions: {b, c}
% {a, c, d, e}
"""
output = """
% Example of non-HCF program
% By Cristinel Mateis.
% Originally known as "full-head-cycle".
a | b.
c :- a.
c :- b.
d | e :- a.
d :- e.
e :- d, not b.
% solutions: {b, c}
% {a, c, d, e}
"""
| 15.064516
| 42
| 0.456103
| 74
| 467
| 2.878378
| 0.310811
| 0.056338
| 0.056338
| 0.075117
| 0.948357
| 0.948357
| 0.948357
| 0.948357
| 0.948357
| 0.948357
| 0
| 0
| 0.342612
| 467
| 30
| 43
| 15.566667
| 0.693811
| 0
| 0
| 0.923077
| 0
| 0
| 0.929705
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
1d12e5d74bfc40fd699c802e78af208e6693bf7a
| 2,906
|
py
|
Python
|
compute_homography.py
|
adi2809/SimpleScanner
|
f23152746c71fe641563f7d6c971d8a2896ad3ad
|
[
"MIT"
] | 1
|
2021-09-01T21:47:28.000Z
|
2021-09-01T21:47:28.000Z
|
compute_homography.py
|
adi2809/SimpleScanner
|
f23152746c71fe641563f7d6c971d8a2896ad3ad
|
[
"MIT"
] | null | null | null |
compute_homography.py
|
adi2809/SimpleScanner
|
f23152746c71fe641563f7d6c971d8a2896ad3ad
|
[
"MIT"
] | null | null | null |
import numpy as np
def compute_homography(src, dst):
"""computes the homography from src, to dst using inversion method."""
if src.shape[1] == 2 :
p1 = np.ones((len(src),3),'float64')
p1[:,:2] = src
elif src.shape[1] == 3 : p1 = src
if dst.shape[1] == 2 :
p2 = np.ones((len(dst),3),'float64')
p2[:,:2] = dst
elif dst.shape[1] == 3 : p2 = dst
npoints = len(src)
count = 2*npoints +1
A = np.zeros((count,9),'float32')
#populating the matrix A
for i in range(npoints):
p1i = p1[i]
x2i,y2i,w2i = p2[i]
xpi = x2i*p1i
ypi = y2i*p1i
wpi = w2i*p1i
A[i*2+1,3:6] = -wpi
A[i*2+1,6:9] = ypi
A[i*2 ,0:3] = -wpi
A[i*2 ,6:9] = xpi
A[8,8] = 1
B = np.zeros((9,1))
B[8,0] = 1
h = (np.linalg.inv(A))@B
print(np.linalg.inv(A).shape)
H = h.reshape(3,3)
return H
def find_homography(src,dst):
"""computes the homography from src, to dst using singular value decomposition method."""
if src.shape[1] == 2 :
p1 = np.ones((len(src),3),'float64')
p1[:,:2] = src
elif src.shape[1] == 3 : p1 = src
if dst.shape[1] == 2 :
p2 = np.ones((len(dst),3),'float64')
p2[:,:2] = dst
elif dst.shape[1] == 3 : p2 = dst
npoints = len(src)
count = 3*npoints
A = np.zeros((count,9),'float32')
#populating the matrix A (TO BE DECOMPOSED).
#least squares fitting algorithm/ SVD algorithm.
for i in range(npoints):
p1i = p1[i]
x2i,y2i,w2i = p2[i]
xpi = x2i*p1i
ypi = y2i*p1i
wpi = w2i*p1i
A[i*3 ,3:6] = -wpi
A[i*3 ,6:9] = ypi
A[i*3+1,0:3] = wpi
A[i*3+1,6:9] = -xpi
A[i*3+2,0:3] = -ypi
A[i*3+2,3:6] = xpi
U,s,V = np.linalg.svd(A)
#we need the last set of non-singular values only
h = V[-1]
H = h.reshape(3,3)
return H
def find_homography_2(src,dst):
"""computes the homography from src, to dst using singular value decomposition method."""
if src.shape[1] == 2 :
p1 = np.ones((len(src),3),'float64')
p1[:,:2] = src
elif src.shape[1] == 3 : p1 = src
if dst.shape[1] == 2 :
p2 = np.ones((len(dst),3),'float64')
p2[:,:2] = dst
elif dst.shape[1] == 3 : p2 = dst
npoints = len(src)
count = 2*npoints +1
A = np.zeros((count,9),'float32')
#populating the matrix A (TO BE DECOMPOSED).
#least squares fitting algorithm/ SVD algorithm.
for i in range(npoints):
p1i = p1[i]
x2i,y2i,w2i = p2[i]
xpi = x2i*p1i
ypi = y2i*p1i
wpi = w2i*p1i
A[i*2+1,3:6] = -wpi
A[i*2+1,6:9] = ypi
A[i*2 ,0:3] = -wpi
A[i*2 ,6:9] = xpi
U,s,V = np.linalg.svd(A)
#we need the last set of non-singular values only
h = V[-1]
H = h.reshape(3,3)
return H
| 22.353846
| 93
| 0.509635
| 498
| 2,906
| 2.965863
| 0.156627
| 0.018957
| 0.016249
| 0.010833
| 0.916723
| 0.902505
| 0.902505
| 0.902505
| 0.902505
| 0.902505
| 0
| 0.092145
| 0.316586
| 2,906
| 129
| 94
| 22.527132
| 0.651561
| 0.183758
| 0
| 0.809524
| 0
| 0
| 0.026831
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.035714
| false
| 0
| 0.011905
| 0
| 0.083333
| 0.011905
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d589e59b9305d83730ecba62d3ef57e68ab78b31
| 48,711
|
py
|
Python
|
dlkit/manager_impls/authentication/managers.py
|
UOC/dlkit
|
a9d265db67e81b9e0f405457464e762e2c03f769
|
[
"MIT"
] | 2
|
2018-02-23T12:16:11.000Z
|
2020-10-08T17:54:24.000Z
|
dlkit/manager_impls/authentication/managers.py
|
UOC/dlkit
|
a9d265db67e81b9e0f405457464e762e2c03f769
|
[
"MIT"
] | 87
|
2017-04-21T18:57:15.000Z
|
2021-12-13T19:43:57.000Z
|
dlkit/manager_impls/authentication/managers.py
|
UOC/dlkit
|
a9d265db67e81b9e0f405457464e762e2c03f769
|
[
"MIT"
] | 1
|
2018-03-01T16:44:25.000Z
|
2018-03-01T16:44:25.000Z
|
"""Manager utility implementations of authentication managers."""
# pylint: disable=no-init
# Numerous classes don't require __init__.
# pylint: disable=too-many-public-methods
# Number of methods are defined in specification
# pylint: disable=too-many-ancestors
# Inheritance defined in specification
from ..osid import managers as osid_managers
from ..osid.osid_errors import NullArgument
from ..osid.osid_errors import Unimplemented
from ..type.objects import TypeList
from dlkit.abstract_osid.authentication import managers as abc_authentication_managers
class AuthenticationProfile(abc_authentication_managers.AuthenticationProfile, osid_managers.OsidProfile):
"""The ``AuthenticationProfile`` describes the interoperability among authentication services."""
def supports_visible_federation(self):
"""Tests if federation is visible.
return: (boolean) - ``true`` if visible federation is supported
``,`` ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_authentication_acquisition(self):
"""Tests is authentication acquisition is supported.
Authentication acquisition is responsible for acquiring client
side authentication credentials.
return: (boolean) - ``true`` if authentication acquisiiton is
supported ``,`` ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_authentication_validation(self):
"""Tests if authentication validation is supported.
Authentication validation verifies given authentication
credentials and maps to an agent identity.
return: (boolean) - ``true`` if authentication validation is
supported, ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agent_lookup(self):
"""Tests if an agent lookup service is supported.
An agent lookup service defines methods to access agents.
return: (boolean) - ``true`` if agent lookup is supported,
``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agent_query(self):
"""Tests if an agent query service is supported.
return: (boolean) - ``true`` if agent query is supported,
``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agent_search(self):
"""Tests if an agent search service is supported.
return: (boolean) - ``true`` if agent search is supported,
``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agent_admin(self):
"""Tests if an agent administrative service is supported.
return: (boolean) - ``true`` if agent admin is supported,
``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agent_notification(self):
"""Tests if agent notification is supported.
Messages may be sent when agents are created, modified, or
deleted.
return: (boolean) - ``true`` if agent notification is supported
``,`` ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agent_agency(self):
"""Tests if retrieving mappings of agents and agencies is supported.
return: (boolean) - ``true`` if agent agency mapping retrieval
is supported ``,`` ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agent_agency_assignment(self):
"""Tests if managing mappings of agents and agencies is supported.
return: (boolean) - ``true`` if agent agency assignment is
supported ``,`` ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agent_smart_agency(self):
"""Tests if agent smart agency is available.
return: (boolean) - ``true`` if agent smart agency is supported
``,`` ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agency_lookup(self):
"""Tests if an agency lookup service is supported.
An agency lookup service defines methods to access agencies.
return: (boolean) - ``true`` if agency lookup is supported,
``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agency_query(self):
"""Tests if an agency query service is supported.
return: (boolean) - ``true`` if agency query is supported,
``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agency_search(self):
"""Tests if an agency search service is supported.
return: (boolean) - ``true`` if agency search is supported,
``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agency_admin(self):
"""Tests if an agency administrative service is supported.
return: (boolean) - ``true`` if agency admin is supported,
``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agency_notification(self):
"""Tests if agency notification is supported.
Messages may be sent when agencies are created, modified, or
deleted.
return: (boolean) - ``true`` if agency notification is supported
``,`` ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agency_hierarchy(self):
"""Tests if an agency hierarchy traversal is supported.
return: (boolean) - ``true`` if an agency hierarchy traversal is
supported, ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_agency_hierarchy_design(self):
"""Tests if an agency hierarchy design is supported.
return: (boolean) - ``true`` if an agency hierarchy design is
supported, ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_authentication_keys(self):
"""Tests if an authentication key service is available.
return: (boolean) - ``true`` if an authentication key service is
supported, ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def supports_authentication_process(self):
"""Tests if an authentication process service is available.
return: (boolean) - ``true`` if an authentication process
service is supported, ``false`` otherwise
*compliance: mandatory -- This method must be implemented.*
"""
return False
def get_agent_record_types(self):
"""Gets the supported ``Agent`` record types.
return: (osid.type.TypeList) - a list containing the supported
``Agent`` record types
*compliance: mandatory -- This method must be implemented.*
"""
return TypeList([])
agent_record_types = property(fget=get_agent_record_types)
def supports_agent_record_type(self, agent_record_type=None):
"""Tests if the given ``Agent`` record type is supported.
arg: agent_record_type (osid.type.Type): a ``Type``
indicating an ``Agent`` record type
return: (boolean) - ``true`` if the given record Type is
supported, ``false`` otherwise
raise: NullArgument - ``agent_record_type`` is ``null``
*compliance: mandatory -- This method must be implemented.*
"""
if agent_record_type is None:
raise NullArgument()
return False
def get_agent_search_record_types(self):
"""Gets the supported ``Agent`` search record types.
return: (osid.type.TypeList) - a list containing the supported
``Agent`` search record types
*compliance: mandatory -- This method must be implemented.*
"""
return TypeList([])
agent_search_record_types = property(fget=get_agent_search_record_types)
def supports_agent_search_record_type(self, agent_search_record_type=None):
"""Tests if the given ``Agent`` search record type is supported.
arg: agent_search_record_type (osid.type.Type): a ``Type``
indicating an ``Agent`` search record type
return: (boolean) - ``true`` if the given Type is supported,
``false`` otherwise
raise: NullArgument - ``agent_search_record_type`` is ``null``
*compliance: mandatory -- This method must be implemented.*
"""
if agent_search_record_type is None:
raise NullArgument()
return False
def get_agency_record_types(self):
"""Gets the supported ``Agency`` record types.
return: (osid.type.TypeList) - a list containing the supported
``Agency`` record types
*compliance: mandatory -- This method must be implemented.*
"""
return TypeList([])
agency_record_types = property(fget=get_agency_record_types)
def supports_agency_record_type(self, agency_record_type=None):
"""Tests if the given ``Agency`` record type is supported.
arg: agency_record_type (osid.type.Type): a ``Type``
indicating an ``Agency`` record type
return: (boolean) - ``true`` if the given record Type is
supported, ``false`` otherwise
raise: NullArgument - ``agency_record_type`` is ``null``
*compliance: mandatory -- This method must be implemented.*
"""
if agency_record_type is None:
raise NullArgument()
return False
def get_agency_search_record_types(self):
"""Gets the supported ``Agency`` search record types.
return: (osid.type.TypeList) - a list containing the supported
``Agency`` search record types
*compliance: mandatory -- This method must be implemented.*
"""
return TypeList([])
agency_search_record_types = property(fget=get_agency_search_record_types)
def supports_agency_search_record_type(self, agency_search_record_type=None):
"""Tests if the given ``Agency`` search record type is supported.
arg: agency_search_record_type (osid.type.Type): a ``Type``
indicating an ``Agency`` search record type
return: (boolean) - ``true`` if the given Type is supported,
``false`` otherwise
raise: NullArgument - ``agency_search_record_type`` is ``null``
*compliance: mandatory -- This method must be implemented.*
"""
if agency_search_record_type is None:
raise NullArgument()
return False
class AuthenticationManager(abc_authentication_managers.AuthenticationManager, osid_managers.OsidManager, AuthenticationProfile):
"""The authentication manager provides access to authentication sessions and provides interoperability tests for various aspects of this service.
The sessions included in this manager are:
* ``AgentLookupSession:`` a session to look up ``Agents``
* ``AgentQuerySession:`` a session to query ``Agents``
* ``AgentSearchSession:`` a session to search ``Agents``
* ``AgentAdminSession:`` a session to create, modify and delete
``Agents``
* ``AgentNotificationSession: a`` session to receive messages
pertaining to ``Agent`` changes
* ``AgentAgencySession:`` a session to retrieve ``Agent`` to
``Agency`` mappings
* ``AgentAgencyAssignmentSession:`` a session to manage ``Agent``
to ``Agency`` mappings
* ``AgentSmartAgencySession:`` a session to create dynamic
agencies
* ``AgencyLookupSession:`` a session to lookup agencies
* ``AgencyQuerySession:`` a session to query agencies
* ``AgencySearchSession`` : a session to search agencies
* ``AgencyAdminSession`` : a session to create, modify and delete
agencies
* ``AgencyNotificationSession`` : a session to receive messages
pertaining to ``Agency`` changes
* ``AgencyHierarchySession`` : a session to traverse the
``Agency`` hierarchy
* ``AgencyHierarchyDesignSession`` : a session to manage the
``Agency`` hierarchy
"""
def get_agent_lookup_session(self):
"""Gets the ``OsidSession`` associated with the agent lookup service.
return: (osid.authentication.AgentLookupSession) - an
``AgentLookupSession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_lookup()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_lookup()`` is ``true``.*
"""
raise Unimplemented()
agent_lookup_session = property(fget=get_agent_lookup_session)
def get_agent_lookup_session_for_agency(self, agency_id=None):
"""Gets the ``OsidSession`` associated with the agent lookup service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
return: (osid.authentication.AgentLookupSession) - ``an
_agent_lookup_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_lookup()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_lookup()`` and
``supports_visible_federation()`` are ``true``.*
"""
if agency_id is None:
raise NullArgument
raise Unimplemented()
def get_agent_query_session(self):
"""Gets the ``OsidSession`` associated with the agent query service.
return: (osid.authentication.AgentQuerySession) - an
``AgentQuerySession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_query()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_query()`` is ``true``.*
"""
raise Unimplemented()
agent_query_session = property(fget=get_agent_query_session)
def get_agent_query_session_for_agency(self, agency_id=None):
"""Gets the ``OsidSession`` associated with the agent query service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
return: (osid.authentication.AgentQuerySession) - ``an
_agent_query_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_query()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_query()`` and ``supports_visible_federation()``
are ``true``.*
"""
if agency_id is None:
raise NullArgument
raise Unimplemented()
def get_agent_search_session(self):
"""Gets the ``OsidSession`` associated with the agent search service.
return: (osid.authentication.AgentSearchSession) - an
``AgentSearchSession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_search()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_search()`` is ``true``.*
"""
raise Unimplemented()
agent_search_session = property(fget=get_agent_search_session)
def get_agent_search_session_for_agency(self, agency_id=None):
"""Gets the ``OsidSession`` associated with the agent search service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
return: (osid.authentication.AgentSearchSession) - ``an
_agent_search_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_search()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_search()`` and
``supports_visible_federation()`` are ``true``.*
"""
if agency_id is None:
raise NullArgument
raise Unimplemented()
def get_agent_admin_session(self):
"""Gets the ``OsidSession`` associated with the agent administration service.
return: (osid.authentication.AgentAdminSession) - an
``AgentAdminSession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_admin()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_admin()`` is ``true``.*
"""
raise Unimplemented()
agent_admin_session = property(fget=get_agent_admin_session)
def get_agent_admin_session_for_agency(self, agency_id=None):
"""Gets the ``OsidSession`` associated with the agent admin service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
return: (osid.authentication.AgentAdminSession) - ``an
_agent_admin_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_admin()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_admin()`` and ``supports_visible_federation()``
are ``true``.*
"""
if agency_id is None:
raise NullArgument
raise Unimplemented()
def get_agent_notification_session(self, agent_receiver=None):
"""Gets the notification session for notifications pertaining to service changes.
arg: agent_receiver (osid.authentication.AgentReceiver): the
agent receiver
return: (osid.authentication.AgentNotificationSession) - an
``AgentNotificationSession``
raise: NullArgument - ``agent_receiver`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_notification()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agent_notification()`` is ``true``.*
"""
raise Unimplemented()
def get_agent_notification_session_for_agency(self, agent_receiver=None, agency_id=None):
"""Gets the ``OsidSession`` associated with the agent notification service for the given agency.
arg: agent_receiver (osid.authentication.AgentReceiver): the
agent receiver
arg: agency_id (osid.id.Id): the ``Id`` of the agency
return: (osid.authentication.AgentNotificationSession) - ``an
_agent_notification_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agent_receiver`` or ``agency_id`` is
``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_notification()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_notification()`` and
``supports_visible_federation()`` are ``true``.*
"""
if agent_receiver is None:
raise NullArgument
if agency_id is None:
raise NullArgument
raise Unimplemented()
def get_agent_agency_session(self):
"""Gets the session for retrieving agent to agency mappings.
return: (osid.authentication.AgentAgencySession) - an
``AgentAgencySession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_agency()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_agency()`` is ``true``.*
"""
raise Unimplemented()
agent_agency_session = property(fget=get_agent_agency_session)
def get_agent_agency_assignment_session(self):
"""Gets the session for assigning agent to agency mappings.
return: (osid.authentication.AgentAgencyAssignmentSession) - a
``AgentAgencyAsignmentSession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_agency_assignment()``
is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_agency_assignment()`` is ``true``.*
"""
raise Unimplemented()
agent_agency_assignment_session = property(fget=get_agent_agency_assignment_session)
def get_agent_smart_agency_session(self, agency_id=None):
"""Gets the ``OsidSession`` associated with the agent smart agency service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
return: (osid.authentication.AgentSmartAgencySession) - an
``AgentSmartAgencySession``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_smart_agency()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agent_smart_agency()`` and
``supports_visibe_federation()`` is ``true``.*
"""
if agency_id is None:
raise NullArgument
raise Unimplemented()
def get_agency_lookup_session(self):
"""Gets the ``OsidSession`` associated with the agency lookup service.
return: (osid.authentication.AgencyLookupSession) - an
``AgencyLookupSession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_lookup()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agency_lookup()`` is ``true``.*
"""
raise Unimplemented()
agency_lookup_session = property(fget=get_agency_lookup_session)
def get_agency_search_session(self):
"""Gets the ``OsidSession`` associated with the agency search service.
return: (osid.authentication.AgencySearchSession) - an
``AgencySearchSession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_search()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agency_search()`` is ``true``.*
"""
raise Unimplemented()
agency_search_session = property(fget=get_agency_search_session)
def get_agency_admin_session(self):
"""Gets the ``OsidSession`` associated with the agency administration service.
return: (osid.authentication.AgencyAdminSession) - an
``AgencyAdminSession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_admin()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agency_admin()`` is ``true``.*
"""
raise Unimplemented()
agency_admin_session = property(fget=get_agency_admin_session)
def get_agency_notification_session(self, agency_receiver=None):
"""Gets the notification session for notifications pertaining to agency service changes.
arg: agency_receiver (osid.authentication.AgencyReceiver):
the agency receiver
return: (osid.authentication.AgencyNotificationSession) - an
``AgencyNotificationSession``
raise: NullArgument - ``agency_receiver`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_notification()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agency_notification()`` is ``true``.*
"""
raise Unimplemented()
def get_agency_hierarchy_session(self):
"""Gets the session traversing agency hierarchies.
return: (osid.authentication.AgencyHierarchySession) - an
``AgencyHierarchySession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_hierarchy()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agency_hierarchy()`` is ``true``.*
"""
raise Unimplemented()
agency_hierarchy_session = property(fget=get_agency_hierarchy_session)
def get_agency_hierarchy_design_session(self):
"""Gets the session designing agency hierarchies.
return: (osid.authentication.AgencyHierarchyDesignSession) - an
``AgencyHierarchyDesignSession``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_hierarchy_design()``
is ``false``
*compliance: optional -- This method must be implemented if
``supports_agency_hierarchy_design()`` is ``true``.*
"""
raise Unimplemented()
agency_hierarchy_design_session = property(fget=get_agency_hierarchy_design_session)
def get_authentication_batch_manager(self):
"""Gets an ``AuthenticationBatchManager``.
return: (osid.authentication.batch.AuthenticationBatchManager) -
an ``AuthenticationBatchManager``.
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_authentication_batch()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_authentication_batch()`` is ``true``.*
"""
raise Unimplemented()
authentication_batch_manager = property(fget=get_authentication_batch_manager)
def get_authentication_keys_manager(self):
"""Gets an ``AuthenticationKeysManager``.
return: (osid.authentication.keys.AuthenticationKeysManager) -
an ``AuthenticationKeysManager``.
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_authentication_keys()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_authentication_keys()`` is ``true``.*
"""
raise Unimplemented()
authentication_keys_manager = property(fget=get_authentication_keys_manager)
def get_authentication_process_manager(self):
"""Gets an ``AuthenticationProcessManager``.
return:
(osid.authentication.process.AuthenticationProcessManage
r) - an ``AuthenticationProcessManager``.
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_authentication_process()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_authentication_process()`` is ``true``.*
"""
raise Unimplemented()
authentication_process_manager = property(fget=get_authentication_process_manager)
class AuthenticationProxyManager(abc_authentication_managers.AuthenticationProxyManager, osid_managers.OsidProxyManager, AuthenticationProfile):
"""The authentication proxy manager provides access to authentication sessions and provides interoperability tests for various aspects of this service.
Methods in this manager support the passing of a ``Proxy`` object.
The sessions included in this manager are:
* ``AgentLookupSession:`` session to look up ``Agents``
* ``AgentQuerySession`` : a session to query ``Agents``
* ``AgentSearchSession:`` session to search ``Agents``
* ``AgentAdminSession:`` session to create, modify and delete
``Agents``
* Agent ``NotificationSession:`` session to receive messages
pertaining to ``Agent`` changes
* ``AgentAgencySession:`` a session to retrieve ``Agent`` to
``Agency`` mappings
* ``AgentAgencyAssignmentSession:`` a session to manage ``Agent``
to ``Agency`` mappings
* ``AgentSmartAgencySession:`` a session to create dynamic
agencies
* ``AgencyLookupSession:`` a session to lookup agencies
* ``AgencyQuerySession:`` a session to query agencies
* ``AgencySearchSession`` : a session to search agencies
* ``AgencyAdminSession`` : a session to create, modify and delete
agencies
* ``AgencyNotificationSession`` : a session to receive messages
pertaining to ``Agency`` changes
* ``AgencyHierarchySession`` : a session to traverse the
``Agency`` hierarchy
* ``AgencyHierarchyDesignSession`` : a session to manage the
``Agency`` hierarchy
"""
def get_agent_lookup_session(self, proxy=None):
"""Gets the ``OsidSession`` associated with the agent lookup service.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentLookupSession) - an
``AgentLookupSession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_lookup()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_lookup()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agent_lookup_session_for_agency(self, agency_id=None, proxy=None):
"""Gets the ``OsidSession`` associated with the agent lookup service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentLookupSession) - ``an
_agent_lookup_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` or ``proxy`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_lookup()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_lookup()`` and
``supports_visible_federation()`` are ``true``.*
"""
if agency_id is None or proxy is None:
raise NullArgument
raise Unimplemented()
def get_agent_query_session(self, proxy=None):
"""Gets the ``OsidSession`` associated with the agent query service.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentQuerySession) - an
``AgentQuerySession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_query()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_query()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agent_query_session_for_agency(self, agency_id=None, proxy=None):
"""Gets the ``OsidSession`` associated with the agent query service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentQuerySession) - an
``AgentQuerySession``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` or ``proxy`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_query()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_query()`` and ``supports_visible_federation()``
are ``true``.*
"""
if agency_id is None or proxy is None:
raise NullArgument
raise Unimplemented()
def get_agent_search_session(self, proxy=None):
"""Gets the ``OsidSession`` associated with the agent search service.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentSearchSession) - an
``AgentSearchSession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_search()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_search()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agent_search_session_for_agency(self, agency_id=None, proxy=None):
"""Gets the ``OsidSession`` associated with the agent search service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentSearchSession) - ``an
_agent_search_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` or ``proxy`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_search()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_search()`` and
``supports_visible_federation()`` are ``true``.*
"""
if agency_id is None or proxy is None:
raise NullArgument
raise Unimplemented()
def get_agent_admin_session(self, proxy=None):
"""Gets the ``OsidSession`` associated with the agent administration service.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentAdminSession) - an
``AgentAdminSession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_admin()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_admin()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agent_admin_session_for_agency(self, agency_id=None, proxy=None):
"""Gets the ``OsidSession`` associated with the agent admin service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the agency
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentAdminSession) - ``an
_agent_admin_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` or ``proxy`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_admin()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_admin()`` and ``supports_visible_federation()``
are ``true``.*
"""
if agency_id is None or proxy is None:
raise NullArgument
raise Unimplemented()
def get_agent_notification_session(self, agent_receiver=None, proxy=None):
"""Gets the messaging receiver session for notifications pertaining to agent changes.
arg: agent_receiver (osid.authentication.AgentReceiver): the
agent receiver
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentNotificationSession) - an
``AgentNotificationSession``
raise: NullArgument - ``proxy`` or ``agent_receiver`` is null
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_notification()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agent_notification()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agent_notification_session_for_agency(self, agent_receiver=None, agency_id=None, proxy=None):
"""Gets the ``OsidSession`` associated with the agent notification service for the given agency.
arg: agent_receiver (osid.authentication.AgentReceiver): the
agent receiver
arg: agency_id (osid.id.Id): the ``Id`` of the agency
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentNotificationSession) - ``an
_agent_notification_session``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agent_receiver, agency_id`` or
``proxy`` is ``null``
raise: OperationFailed - ``unable to complete request``
raise: Unimplemented - ``supports_agent_notification()`` or
``supports_visible_federation()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_notification()`` and
``supports_visible_federation()`` are ``true``.*
"""
if agent_receiver is None or proxy is None:
raise NullArgument
raise Unimplemented()
def get_agent_agency_session(self, proxy=None):
"""Gets the session for retrieving agent to agency mappings.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentAgencySession) - an
``AgentAgencySession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_agency()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_agency()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agent_agency_assignment_session(self, proxy=None):
"""Gets the session for assigning agent to agency mappings.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentAgencyAssignmentSession) - an
``AgentAgencyAssignmentSession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_agency_assignment()``
is ``false``
*compliance: optional -- This method must be implemented if
``supports_agent_agency_assignment()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agent_smart_agency_session(self, agency_id=None, proxy=None):
"""Gets the ``OsidSession`` associated with the agent smart agency service for the given agency.
arg: agency_id (osid.id.Id): the ``Id`` of the bank
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgentSmartAgencySession) - an
``AgentSmartAgencySession``
raise: NotFound - ``agency_id`` not found
raise: NullArgument - ``agency_id`` or ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agent_smart_agency()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agent_smart_agency()`` and
``supports_visibe_federation()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agency_lookup_session(self, proxy=None):
"""Gets the ``OsidSession`` associated with the agency lookup service.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgencyLookupSession) - an
``AgencyLookupSession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_lookup()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agency_lookup()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agency_search_session(self, proxy=None):
"""Gets the ``OsidSession`` associated with the agency search service.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgencySearchSession) - an
``AgencySearchSession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_search()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agency_search()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agency_admin_session(self, proxy=None):
"""Gets the ``OsidSession`` associated with the agency administration service.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgencyAdminSession) - an
``AgencyAdminSession``
raise: NullArgument - ``proxy`` is ``null``
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_admin()`` is ``false``
*compliance: optional -- This method must be implemented if
``supports_agency_admin()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agency_notification_session(self, agency_receiver=None, proxy=None):
"""Gets the messaging receiver session for notifications pertaining to agency changes.
arg: agency_receiver (osid.authentication.AgencyReceiver):
the agency receiver
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgencyNotificationSession) - an
``AgencyNotificationSession``
raise: NullArgument - ``agency_receiver`` or ``proxy`` is null
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_notification()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agency_notification()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agency_hierarchy_session(self, proxy=None):
"""Gets the session traversing agency hierarchies.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgencyHierarchySession) - an
``AgencyHierarchySession``
raise: NullArgument - ``proxy`` is null
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_hierarchy()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_agency_hierarchy()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_agency_hierarchy_design_session(self, proxy=None):
"""Gets the session designing agency hierarchies.
arg: proxy (osid.proxy.Proxy): a proxy
return: (osid.authentication.AgencyHierarchyDesignSession) - an
``AgencyHierarchyDesignSession``
raise: NullArgument - ``proxy`` is null
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_agency_hierarchy_design()``
is ``false``
*compliance: optional -- This method must be implemented if
``supports_agency_hierarchy_design()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
def get_authentication_batch_proxy_manager(self):
"""Gets an ``AuthenticationBatchProxyManager``.
return:
(osid.authentication.batch.AuthenticationBatchProxyManag
er) - an ``AuthenticationBatchProxyManager``.
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_authentication_batch()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_authentication_batch()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
authentication_batch_proxy_manager = property(fget=get_authentication_batch_proxy_manager)
def get_authentication_keys_proxy_manager(self):
"""Gets an ``AuthenticationKeysProxyManager``.
return:
(osid.authentication.keys.AuthenticationKeysProxyManager
) - an ``AuthenticationKeysProxyManager``.
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_authentication_keys()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_authentication_keys()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
authentication_keys_proxy_manager = property(fget=get_authentication_keys_proxy_manager)
def get_authentication_process_proxy_manager(self):
"""Gets an ``AuthenticationProcessProxyManager``.
return:
(osid.authentication.process.AuthenticationProcessProxyM
anager) - an ``AuthenticationProcessproxyManager``.
raise: OperationFailed - unable to complete request
raise: Unimplemented - ``supports_authentication_process()`` is
``false``
*compliance: optional -- This method must be implemented if
``supports_authentication_process()`` is ``true``.*
"""
if proxy is None:
raise NullArgument()
raise Unimplemented()
authentication_process_proxy_manager = property(fget=get_authentication_process_proxy_manager)
| 40.323675
| 155
| 0.636612
| 4,921
| 48,711
| 6.149766
| 0.043284
| 0.052341
| 0.033308
| 0.038066
| 0.910551
| 0.860093
| 0.82358
| 0.776195
| 0.746687
| 0.71404
| 0
| 0
| 0.264273
| 48,711
| 1,207
| 156
| 40.357084
| 0.844439
| 0.665209
| 0
| 0.552301
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.301255
| false
| 0
| 0.020921
| 0
| 0.539749
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d5ad3fa3bad63bcd95bef7b3014a727cde380f4e
| 999
|
py
|
Python
|
biobb_analysis/test/unitests/test_ambertools/test_cpptraj_strip_container.py
|
bioexcel/biobb_analysis
|
794683daf65eb13ddaaaf6cf3c19da6d1322a949
|
[
"Apache-2.0"
] | 3
|
2019-05-18T14:52:30.000Z
|
2020-10-18T06:20:00.000Z
|
biobb_analysis/test/unitests/test_ambertools/test_cpptraj_strip_container.py
|
bioexcel/biobb_analysis
|
794683daf65eb13ddaaaf6cf3c19da6d1322a949
|
[
"Apache-2.0"
] | 7
|
2019-03-04T15:04:28.000Z
|
2021-06-17T10:57:25.000Z
|
biobb_analysis/test/unitests/test_ambertools/test_cpptraj_strip_container.py
|
bioexcel/biobb_analysis
|
794683daf65eb13ddaaaf6cf3c19da6d1322a949
|
[
"Apache-2.0"
] | null | null | null |
from biobb_common.tools import test_fixtures as fx
from biobb_analysis.ambertools.cpptraj_strip import cpptraj_strip
class TestCpptrajStripDocker():
def setUp(self):
fx.test_setup(self,'cpptraj_strip_docker')
def tearDown(self):
fx.test_teardown(self)
pass
def test_strip_docker(self):
cpptraj_strip(properties=self.properties, **self.paths)
assert fx.not_empty(self.paths['output_cpptraj_path'])
assert fx.equal(self.paths['output_cpptraj_path'], self.paths['ref_output_cpptraj_path'])
class TestCpptrajStripSingularity():
def setUp(self):
fx.test_setup(self,'cpptraj_strip_singularity')
def tearDown(self):
fx.test_teardown(self)
pass
def test_strip_singularity(self):
cpptraj_strip(properties=self.properties, **self.paths)
assert fx.not_empty(self.paths['output_cpptraj_path'])
assert fx.equal(self.paths['output_cpptraj_path'], self.paths['ref_output_cpptraj_path'])
| 33.3
| 97
| 0.721722
| 128
| 999
| 5.359375
| 0.25
| 0.104956
| 0.148688
| 0.12828
| 0.720117
| 0.720117
| 0.720117
| 0.720117
| 0.720117
| 0.606414
| 0
| 0
| 0.173173
| 999
| 29
| 98
| 34.448276
| 0.830508
| 0
| 0
| 0.636364
| 0
| 0
| 0.167167
| 0.071071
| 0
| 0
| 0
| 0
| 0.181818
| 1
| 0.272727
| false
| 0.090909
| 0.090909
| 0
| 0.454545
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
634ff7fa110a3d35580e690c41314644f59b44f8
| 997
|
py
|
Python
|
tests/test_summoner.py
|
xNinjaKittyx/aioleague
|
0566ba3068a865e8c9821c37285dc2c97d0c70bd
|
[
"MIT"
] | 1
|
2020-10-08T11:13:25.000Z
|
2020-10-08T11:13:25.000Z
|
tests/test_summoner.py
|
xNinjaKittyx/aioleague
|
0566ba3068a865e8c9821c37285dc2c97d0c70bd
|
[
"MIT"
] | null | null | null |
tests/test_summoner.py
|
xNinjaKittyx/aioleague
|
0566ba3068a865e8c9821c37285dc2c97d0c70bd
|
[
"MIT"
] | null | null | null |
import aioleague
import pytest
@pytest.mark.asyncio
async def test_summoner_by_account(session: aioleague.AIOLeague) -> None:
obj = await session.get_summoner_by_name("NinjaKitty")
obj = await session.get_summoner_by_account_id(obj.accountId)
assert obj.name == "NinjaKitty"
print(obj)
@pytest.mark.asyncio
async def test_summoner_by_name(session: aioleague.AIOLeague) -> None:
obj = await session.get_summoner_by_name("NinjaKitty")
assert obj.name == "NinjaKitty"
print(obj)
@pytest.mark.asyncio
async def test_summoner_by_puuid(session: aioleague.AIOLeague) -> None:
obj = await session.get_summoner_by_name("NinjaKitty")
obj = await session.get_summoner_by_puuid(obj.puuid)
assert obj.name == "NinjaKitty"
print(obj)
@pytest.mark.asyncio
async def test_summoner_by_id(session: aioleague.AIOLeague) -> None:
obj = await session.get_summoner_by_name("NinjaKitty")
obj = await session.get_summoner_by_summoner_id(obj.id)
print(obj)
| 29.323529
| 73
| 0.756269
| 137
| 997
| 5.248175
| 0.167883
| 0.15299
| 0.146036
| 0.175243
| 0.858136
| 0.858136
| 0.858136
| 0.858136
| 0.803894
| 0.803894
| 0
| 0
| 0.141424
| 997
| 33
| 74
| 30.212121
| 0.839953
| 0
| 0
| 0.625
| 0
| 0
| 0.070281
| 0
| 0
| 0
| 0
| 0
| 0.125
| 1
| 0
| false
| 0
| 0.083333
| 0
| 0.083333
| 0.166667
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
635044488ddeac76bccbc7fbfaeb313afcdc092b
| 1,743
|
py
|
Python
|
mysite/myapp/migrations/0012_auto_20190420_0709.py
|
Pdhenson/QuestLog
|
8cfe7061fa7ec6b7cf18cea8800763d35a852f79
|
[
"MIT"
] | null | null | null |
mysite/myapp/migrations/0012_auto_20190420_0709.py
|
Pdhenson/QuestLog
|
8cfe7061fa7ec6b7cf18cea8800763d35a852f79
|
[
"MIT"
] | null | null | null |
mysite/myapp/migrations/0012_auto_20190420_0709.py
|
Pdhenson/QuestLog
|
8cfe7061fa7ec6b7cf18cea8800763d35a852f79
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.2 on 2019-04-20 07:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('myapp', '0011_auto_20190416_0457'),
]
operations = [
migrations.AlterField(
model_name='steps',
name='step_five',
field=models.CharField(default='NA', max_length=255),
),
migrations.AlterField(
model_name='steps',
name='step_five_complete',
field=models.BooleanField(default=False),
),
migrations.AlterField(
model_name='steps',
name='step_four',
field=models.CharField(default='NA', max_length=255),
),
migrations.AlterField(
model_name='steps',
name='step_four_complete',
field=models.BooleanField(default=False),
),
migrations.AlterField(
model_name='steps',
name='step_one_complete',
field=models.BooleanField(default=False),
),
migrations.AlterField(
model_name='steps',
name='step_three',
field=models.CharField(default='NA', max_length=255),
),
migrations.AlterField(
model_name='steps',
name='step_three_complete',
field=models.BooleanField(default=False),
),
migrations.AlterField(
model_name='steps',
name='step_two',
field=models.CharField(default='NA', max_length=255),
),
migrations.AlterField(
model_name='steps',
name='step_two_complete',
field=models.BooleanField(default=False),
),
]
| 29.542373
| 65
| 0.555938
| 162
| 1,743
| 5.796296
| 0.271605
| 0.191693
| 0.239617
| 0.277955
| 0.840256
| 0.840256
| 0.794462
| 0.794462
| 0.715655
| 0.715655
| 0
| 0.035836
| 0.327596
| 1,743
| 58
| 66
| 30.051724
| 0.765358
| 0.02467
| 0
| 0.692308
| 1
| 0
| 0.121319
| 0.013545
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.019231
| 0
| 0.076923
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
639f334c10e500e60ba6fd1f144e7d1cd3724b50
| 14,101
|
py
|
Python
|
tflearn/jtensorflow.py
|
jskDr/jamespy
|
729c496732d8ec2d6ba25d6b97ef2aa02065c18c
|
[
"MIT"
] | null | null | null |
tflearn/jtensorflow.py
|
jskDr/jamespy
|
729c496732d8ec2d6ba25d6b97ef2aa02065c18c
|
[
"MIT"
] | null | null | null |
tflearn/jtensorflow.py
|
jskDr/jamespy
|
729c496732d8ec2d6ba25d6b97ef2aa02065c18c
|
[
"MIT"
] | null | null | null |
"""
This is a set of codes to use tensorlow for molecular machine learning.
"""
import os
import pickle
import tensorflow as tf
import numpy as np
from tflearn import jinput_data
def already_pikle(filename, work_directory):
"""Download the data from Yann's website, unless it's already here."""
filepath = os.path.join(work_directory, filename)
if os.path.exists(filepath):
with open(filepath, "rb") as f:
print('Successfully loaded:', filepath)
return pickle.load(f)
return None
def save_pickle(filename, work_directory, data_list):
"""
Save all data as a pickle form.
If save is success, it returns True
Otherwise, it returns False.
"""
if not os.path.exists(work_directory):
os.mkdir(work_directory)
filepath = os.path.join(work_directory, filename)
with open(filepath, "wb") as f:
pickle.dump(data_list, f)
print('Successfully saved:', filepath)
return True
return False
# Create model
def multilayer_perceptron(_X, _weights, _biases):
layer_1 = tf.nn.sigmoid(tf.add(tf.matmul(_X, _weights['h1']), _biases['b1'])) #Hidden layer with RELU activation
layer_2 = tf.nn.sigmoid(tf.add(tf.matmul(layer_1, _weights['h2']), _biases['b2'])) #Hidden layer with RELU activation
return tf.matmul(layer_2, _weights['out']) + _biases['out']
def define_multilayer(n_input, n_classes, n_hidden_list):
# Store layers weight & bias
n_hidden_1, n_hidden_2 = n_hidden_list
weights = {
'h1': tf.Variable(tf.random_normal([n_input, n_hidden_1])),
'h2': tf.Variable(tf.random_normal([n_hidden_1, n_hidden_2])),
'out': tf.Variable(tf.random_normal([n_hidden_2, n_classes]))
}
biases = {
'b1': tf.Variable(tf.random_normal([n_hidden_1])),
'b2': tf.Variable(tf.random_normal([n_hidden_2])),
'out': tf.Variable(tf.random_normal([n_classes]))
}
return weights, biases
def ANN(mol_data,
n_hidden_list = [256, 256], learning_rate = 0.001,
training_epochs = 15, batch_size = 100, display_step = 1):
"""
mol_data are data for learning, validation and testing.
"""
n_input = mol_data.train.images.shape[1]
n_classes = mol_data.train.labels.shape[1]
print "n_input, n_classes =", n_input, n_classes
# tf Graph input
x = tf.placeholder("float", [None, n_input])
y = tf.placeholder("float", [None, n_classes])
weights, biases = define_multilayer(n_input, n_classes, n_hidden_list)
# Construct model
pred = multilayer_perceptron(x, weights, biases)
# Define loss and optimizer
# cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(pred, y)) # Softmax loss
# optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(cost) # Adam Optimizer
# For regression, other loss definintion and optimizatino tool are selected.
loss = tf.reduce_mean(tf.square(y - pred))
optimizer = tf.train.GradientDescentOptimizer(learning_rate=learning_rate)
train = optimizer.minimize(loss)
# train = optimizer.minimize(loss)
# Initializing the variables
init = tf.initialize_all_variables()
avg_cost_train_list = list()
avg_cost_val_list = list()
with tf.Session() as sess:
sess.run(init)
for epoch in range(training_epochs):
avg_cost_train, avg_cost_val = 0., 0.
total_batch = int(mol_data.train.data_size/batch_size)
# Loop over all batches
for i in range(total_batch):
batch_xs, batch_ys = mol_data.train.next_batch(batch_size)
#print batch_xs.shape, batch_ys.shape
# Fit training using batch data
sess.run(train, feed_dict={x: batch_xs, y: batch_ys})
# Compute average loss
avg_cost_train += sess.run(loss, feed_dict={x: batch_xs, y: batch_ys})
avg_cost_train /= total_batch
avg_cost_val = sess.run(loss,
feed_dict={x: mol_data.validation.images, y: mol_data.validation.labels})
# Display logs per epoch step
avg_cost_train_list.append( avg_cost_train)
avg_cost_val_list.append( avg_cost_val)
if epoch % display_step == 0:
print "Epoch:", '%04d' % (epoch+1), "RMSE(train) =", "{:.9f}".format(np.sqrt(avg_cost_train))
print "Epoch:", '%04d' % (epoch+1), "RMSE(validation) =", "{:.9f}".format(np.sqrt(avg_cost_val))
avg_cost_list = [avg_cost_train_list, avg_cost_val_list]
return avg_cost_list
def ANN_ridge(mol_data,
n_hidden_list = [256, 256], learning_rate = 0.001,
training_epochs = 15, batch_size = 100, display_step = 1,
alpha = 0.5):
"""
mol_data are data for learning, validation and testing.
"""
n_input = mol_data.train.images.shape[1]
n_classes = mol_data.train.labels.shape[1]
print "n_input, n_classes =", n_input, n_classes
# tf Graph input
x = tf.placeholder("float", [None, n_input])
y = tf.placeholder("float", [None, n_classes])
weights, biases = define_multilayer(n_input, n_classes, n_hidden_list)
# Construct model
pred = multilayer_perceptron(x, weights, biases)
# Define loss and optimizer
# cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(pred, y)) # Softmax loss
# optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(cost) # Adam Optimizer
# For regression, other loss definintion and optimizatino tool are selected.
# alpha = 0.5 # this is for Ridge regularization
loss = tf.reduce_mean(tf.square(y - pred)) + alpha * (tf.reduce_sum( tf.square( weights['h1']))
+ tf.reduce_sum( tf.square( weights['h2']))
+ tf.reduce_sum( tf.square( weights['out'])))
optimizer = tf.train.GradientDescentOptimizer(learning_rate=learning_rate)
train = optimizer.minimize(loss)
# train = optimizer.minimize(loss)
# Initializing the variables
init = tf.initialize_all_variables()
avg_cost_train_list = list()
avg_cost_val_list = list()
with tf.Session() as sess:
sess.run(init)
for epoch in range(training_epochs):
avg_cost_train, avg_cost_val = 0., 0.
total_batch = int(mol_data.train.data_size/batch_size)
# Loop over all batches
for i in range(total_batch):
batch_xs, batch_ys = mol_data.train.next_batch(batch_size)
#print batch_xs.shape, batch_ys.shape
# Fit training using batch data
sess.run(train, feed_dict={x: batch_xs, y: batch_ys})
# Compute average loss
avg_cost_train += sess.run(loss, feed_dict={x: batch_xs, y: batch_ys})
avg_cost_train /= total_batch
avg_cost_val = sess.run(loss,
feed_dict={x: mol_data.validation.images, y: mol_data.validation.labels})
# Display logs per epoch step
avg_cost_train_list.append( avg_cost_train)
avg_cost_val_list.append( avg_cost_val)
if epoch % display_step == 0:
print "Epoch:", '%04d' % (epoch+1), "RMSE(train) =", "{:.9f}".format(np.sqrt(avg_cost_train))
print "Epoch:", '%04d' % (epoch+1), "RMSE(validation) =", "{:.9f}".format(np.sqrt(avg_cost_val))
avg_cost_list = [avg_cost_train_list, avg_cost_val_list]
return avg_cost_list
def singlelayer_perceptron(_X, _weights, _biases):
#layer_1 = tf.nn.sigmoid(tf.add(tf.matmul(_X, _weights['h1']), _biases['b1'])) #Hidden layer with RELU activation
#layer_2 = tf.nn.sigmoid(tf.add(tf.matmul(layer_1, _weights['h2']), _biases['b2'])) #Hidden layer with RELU activation
return tf.add( tf.matmul( _X, _weights['out']), _biases['out'])
def define_singlelayer(n_input, n_classes):
# Store layers weight & bias
# n_hidden_1, n_hidden_2 = n_hidden_list
weights = {
# 'h1': tf.Variable(tf.random_normal([n_input, n_hidden_1])),
# 'h2': tf.Variable(tf.random_normal([n_hidden_1, n_hidden_2])),
'out': tf.Variable(tf.random_normal([n_input, n_classes]))
}
biases = {
# 'b1': tf.Variable(tf.random_normal([n_hidden_1])),
# 'b2': tf.Variable(tf.random_normal([n_hidden_2])),
'out': tf.Variable(tf.random_normal([n_classes]))
}
return weights, biases
def ANN_single(mol_data,
learning_rate = 0.001,
training_epochs = 15, batch_size = 100, display_step = 1):
"""
mol_data are data for learning, validation and testing.
n_hidden list is removed from the argument list.
"""
n_input = mol_data.train.images.shape[1]
n_classes = mol_data.train.labels.shape[1]
print "n_input, n_classes =", n_input, n_classes
# tf Graph input
x = tf.placeholder("float", [None, n_input])
y = tf.placeholder("float", [None, n_classes])
weights, biases = define_singlelayer(n_input, n_classes)
# Construct model
pred = singlelayer_perceptron(x, weights, biases)
# Define loss and optimizer
# cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(pred, y)) # Softmax loss
# optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(cost) # Adam Optimizer
# For regression, other loss definintion and optimizatino tool are selected.
# Construct a linear model
#activation = tf.add(tf.mul(X, W), b)
# Minimize the squared errors
#cost = tf.reduce_sum(tf.pow(activation-Y, 2))/(2*n_samples) #L2 loss
#optimizer = tf.train.GradientDescentOptimizer(learning_rate).minimize(cost) #Gradient descent
#loss = tf.reduce_sum(tf.pow(y - pred, 2))
loss = tf.reduce_mean(tf.pow(y - pred, 2))
optimizer = tf.train.GradientDescentOptimizer(learning_rate=learning_rate)
train = optimizer.minimize(loss)
# Initializing the variables
init = tf.initialize_all_variables()
avg_cost_train_list = list()
avg_cost_val_list = list()
with tf.Session() as sess:
sess.run(init)
for epoch in range(training_epochs):
avg_cost_train, avg_cost_val = 0., 0.
total_batch = int(mol_data.train.data_size/batch_size)
# Loop over all batches
for i in range(total_batch):
batch_xs, batch_ys = mol_data.train.next_batch(batch_size)
#print batch_xs.shape, batch_ys.shape
# Fit training using batch data
sess.run(train, feed_dict={x: batch_xs, y: batch_ys})
# Compute average loss
avg_cost_train += sess.run(loss, feed_dict={x: batch_xs, y: batch_ys})
avg_cost_train /= total_batch
avg_cost_val = sess.run(loss,
feed_dict={x: mol_data.validation.images, y: mol_data.validation.labels})
avg_cost_train_list.append( avg_cost_train)
avg_cost_val_list.append( avg_cost_val)
# Display logs per epoch step
if epoch % display_step == 0:
print "Epoch:", '%04d' % (epoch+1), "RMSE(train) =", "{:.9e}".format(np.sqrt(avg_cost_train))
print "Epoch:", '%04d' % (epoch+1), "RMSE(validation) =", "{:.9e}".format(np.sqrt(avg_cost_val))
print "Weights ->", sess.run( weights['out'])
avg_cost_list = [avg_cost_train_list, avg_cost_val_list]
return avg_cost_list
def ANN_single_ridge(mol_data,
learning_rate = 0.001,
training_epochs = 15, batch_size = 100, display_step = 1,
alpha = 0.5):
"""
mol_data are data for learning, validation and testing.
n_hidden list is removed from the argument list.
"""
n_input = mol_data.train.images.shape[1]
n_classes = mol_data.train.labels.shape[1]
print "n_input, n_classes =", n_input, n_classes
# tf Graph input
x = tf.placeholder("float", [None, n_input])
y = tf.placeholder("float", [None, n_classes])
weights, biases = define_singlelayer(n_input, n_classes)
# Construct model
pred = singlelayer_perceptron(x, weights, biases)
# Define loss and optimizer
# cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(pred, y)) # Softmax loss
# optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(cost) # Adam Optimizer
# For regression, other loss definintion and optimizatino tool are selected.
# Construct a linear model
#activation = tf.add(tf.mul(X, W), b)
# Minimize the squared errors
#cost = tf.reduce_sum(tf.pow(activation-Y, 2))/(2*n_samples) #L2 loss
#optimizer = tf.train.GradientDescentOptimizer(learning_rate).minimize(cost) #Gradient descent
#loss = tf.reduce_sum(tf.pow(y - pred, 2))
loss = tf.reduce_mean(tf.pow(y - pred, 2)) + alpha * tf.reduce_sum( tf.square( weights['out']))
optimizer = tf.train.GradientDescentOptimizer(learning_rate=learning_rate)
train = optimizer.minimize(loss)
# Initializing the variables
init = tf.initialize_all_variables()
avg_cost_train_list = list()
avg_cost_val_list = list()
with tf.Session() as sess:
sess.run(init)
for epoch in range(training_epochs):
avg_cost_train, avg_cost_val = 0., 0.
total_batch = int(mol_data.train.data_size/batch_size)
# Loop over all batches
for i in range(total_batch):
batch_xs, batch_ys = mol_data.train.next_batch(batch_size)
#print batch_xs.shape, batch_ys.shape
# Fit training using batch data
sess.run(train, feed_dict={x: batch_xs, y: batch_ys})
# Compute average loss
avg_cost_train += sess.run(loss, feed_dict={x: batch_xs, y: batch_ys})
avg_cost_train /= total_batch
avg_cost_val = sess.run(loss,
feed_dict={x: mol_data.validation.images, y: mol_data.validation.labels})
avg_cost_train_list.append( avg_cost_train)
avg_cost_val_list.append( avg_cost_val)
# Display logs per epoch step
if epoch % display_step == 0:
print "Epoch:", '%04d' % (epoch+1), "RMSE(train) =", "{:.9e}".format(np.sqrt(avg_cost_train))
print "Epoch:", '%04d' % (epoch+1), "RMSE(validation) =", "{:.9e}".format(np.sqrt(avg_cost_val))
print "Weights ->", sess.run( weights['out'])
avg_cost_list = [avg_cost_train_list, avg_cost_val_list]
return avg_cost_list
def run( mol_datasets): # this is testing code
# Parameters are defined here.
# n_input = 784
# n_classes = 1
n_hidden_list = [256, 256]
learning_rate = 0.01
training_epochs = 1000
batch_size = 100
display_step = 10
# Based on the defined parameters, ANN is called.
return ANN(mol_datasets, n_hidden_list, learning_rate, training_epochs, batch_size, display_step)
| 36.436693
| 119
| 0.688675
| 2,075
| 14,101
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| 0.899053
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0
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