xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

72c513e601c5239356a8463c736d5b78ab39df34

3,866

py

Python

resources/dot_PyCharm/system/python_stubs/-762174762/PySide/QtGui/QStyleOption.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

1

2020-04-20T02:27:20.000Z

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QStyleOption.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QStyleOption.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

# encoding: utf-8 # module PySide.QtGui # from C:\Python27\lib\site-packages\PySide\QtGui.pyd # by generator 1.147 # no doc # imports import PySide.QtCore as __PySide_QtCore import Shiboken as __Shiboken class QStyleOption(__Shiboken.Object): # no doc def initFrom(self, *args, **kwargs): # real signature unknown pass def __init__(self, *args, **kwargs): # real signature unknown pass @staticmethod # known case of __new__ def __new__(S, *more): # real signature unknown; restored from __doc__ """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass def __repr__(self): # real signature unknown; restored from __doc__ """ x.__repr__() <==> repr(x) """ pass direction = property(lambda self: object(), lambda self, v: None, lambda self: None) # default fontMetrics = property(lambda self: object(), lambda self, v: None, lambda self: None) # default palette = property(lambda self: object(), lambda self, v: None, lambda self: None) # default rect = property(lambda self: object(), lambda self, v: None, lambda self: None) # default state = property(lambda self: object(), lambda self, v: None, lambda self: None) # default type = property(lambda self: object(), lambda self, v: None, lambda self: None) # default version = property(lambda self: object(), lambda self, v: None, lambda self: None) # default OptionType = None # (!) real value is "<type 'PySide.QtGui.QStyleOption.OptionType'>" SO_Button = PySide.QtGui.QStyleOption.OptionType.SO_Button SO_ComboBox = PySide.QtGui.QStyleOption.OptionType.SO_ComboBox SO_Complex = PySide.QtGui.QStyleOption.OptionType.SO_Complex SO_ComplexCustomBase = PySide.QtGui.QStyleOption.OptionType.SO_ComplexCustomBase SO_CustomBase = PySide.QtGui.QStyleOption.OptionType.SO_CustomBase SO_Default = PySide.QtGui.QStyleOption.OptionType.SO_Default SO_DockWidget = PySide.QtGui.QStyleOption.OptionType.SO_DockWidget SO_FocusRect = PySide.QtGui.QStyleOption.OptionType.SO_FocusRect SO_Frame = PySide.QtGui.QStyleOption.OptionType.SO_Frame SO_GraphicsItem = PySide.QtGui.QStyleOption.OptionType.SO_GraphicsItem SO_GroupBox = PySide.QtGui.QStyleOption.OptionType.SO_GroupBox SO_Header = PySide.QtGui.QStyleOption.OptionType.SO_Header SO_MenuItem = PySide.QtGui.QStyleOption.OptionType.SO_MenuItem SO_ProgressBar = PySide.QtGui.QStyleOption.OptionType.SO_ProgressBar SO_Q3DockWindow = PySide.QtGui.QStyleOption.OptionType.SO_Q3DockWindow SO_Q3ListView = PySide.QtGui.QStyleOption.OptionType.SO_Q3ListView SO_Q3ListViewItem = PySide.QtGui.QStyleOption.OptionType.SO_Q3ListViewItem SO_RubberBand = PySide.QtGui.QStyleOption.OptionType.SO_RubberBand SO_SizeGrip = PySide.QtGui.QStyleOption.OptionType.SO_SizeGrip SO_Slider = PySide.QtGui.QStyleOption.OptionType.SO_Slider SO_SpinBox = PySide.QtGui.QStyleOption.OptionType.SO_SpinBox SO_Tab = PySide.QtGui.QStyleOption.OptionType.SO_Tab SO_TabBarBase = PySide.QtGui.QStyleOption.OptionType.SO_TabBarBase SO_TabWidgetFrame = PySide.QtGui.QStyleOption.OptionType.SO_TabWidgetFrame SO_TitleBar = PySide.QtGui.QStyleOption.OptionType.SO_TitleBar SO_ToolBar = PySide.QtGui.QStyleOption.OptionType.SO_ToolBar SO_ToolBox = PySide.QtGui.QStyleOption.OptionType.SO_ToolBox SO_ToolButton = PySide.QtGui.QStyleOption.OptionType.SO_ToolButton SO_ViewItem = PySide.QtGui.QStyleOption.OptionType.SO_ViewItem StyleOptionType = None # (!) real value is "<type 'PySide.QtGui.QStyleOption.StyleOptionType'>" StyleOptionVersion = None # (!) real value is "<type 'PySide.QtGui.QStyleOption.StyleOptionVersion'>" Type = PySide.QtGui.QStyleOption.StyleOptionType.Type Version = PySide.QtGui.QStyleOption.StyleOptionVersion.Version

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Python

github3/gists/comment.py

j2sol/github3.py

1edaca378a11b5e03c9b472676912c4cacc3693a

[ "BSD-3-Clause" ]

null

github3/gists/comment.py

j2sol/github3.py

1edaca378a11b5e03c9b472676912c4cacc3693a

[ "BSD-3-Clause" ]

null

github3/gists/comment.py

j2sol/github3.py

1edaca378a11b5e03c9b472676912c4cacc3693a

[ "BSD-3-Clause" ]

1

2019-01-02T09:58:57.000Z

# -*- coding: utf-8 -*- """ github3.gists.comment --------------------- Module containing the logic for a GistComment """ from __future__ import unicode_literals from ..models import BaseComment from ..users import User class GistComment(BaseComment): """This object represents a comment on a gist. Two comment instances can be checked like so:: c1 == c2 c1 != c2 And is equivalent to:: c1.id == c2.id c1.id != c2.id See also: http://developer.github.com/v3/gists/comments/ """ def _update_attributes(self, comment): self._api = self._get_attribute(comment, 'url') #: :class:`User <github3.users.User>` who made the comment #: Unless it is not associated with an account self.user = self._class_attribute(comment, 'user', User, self) def _repr(self): return '<Gist Comment [{0}]>'.format(self.user.login)

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py

Python

frappe/email/doctype/auto_email_report/test_auto_email_report.py

jsukrut/latest_lumajuan_frappe

4d38ef0f548c6398a38a9d77ac678c9e829f32cf

[ "MIT" ]

null

frappe/email/doctype/auto_email_report/test_auto_email_report.py

jsukrut/latest_lumajuan_frappe

4d38ef0f548c6398a38a9d77ac678c9e829f32cf

[ "MIT" ]

7

2016-05-30T04:03:38.000Z

2019-02-03T03:10:03.000Z

frappe/email/doctype/auto_email_report/test_auto_email_report.py

jsukrut/latest_lumajuan_frappe

4d38ef0f548c6398a38a9d77ac678c9e829f32cf

[ "MIT" ]

5

2015-07-22T04:52:43.000Z

2016-10-07T01:51:21.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2015, Frappe Technologies and Contributors # See license.txt from __future__ import unicode_literals import frappe import unittest, json # test_records = frappe.get_test_records('Auto Email Report') class TestAutoEmailReport(unittest.TestCase): pass

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py

Python

ingredients/serializers.py

jmhubbard/cocktail_api

47c2cca699f02dc14af04b989beeee9855a797f0

[ "Unlicense" ]

1

2020-11-25T04:57:34.000Z

ingredients/serializers.py

jmhubbard/cocktail_api

47c2cca699f02dc14af04b989beeee9855a797f0

[ "Unlicense" ]

null

ingredients/serializers.py

jmhubbard/cocktail_api

47c2cca699f02dc14af04b989beeee9855a797f0

[ "Unlicense" ]

null

from rest_framework import serializers from .models import Ingredient class IngredientSerializer(serializers.ModelSerializer): class Meta: model = Ingredient fields = '__all__'

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py

Python

py-pkg/tests/test_clients.py

paulokenza/uptasticsearch

47108a0d75a9e4b9cb5260206dda13fe1c4a3f7e

[ "BSD-3-Clause" ]

35

2017-06-29T03:23:12.000Z

2019-04-02T14:02:12.000Z

py-pkg/tests/test_clients.py

paulokenza/uptasticsearch

47108a0d75a9e4b9cb5260206dda13fe1c4a3f7e

[ "BSD-3-Clause" ]

127

2017-07-13T05:09:32.000Z

2019-05-26T01:16:38.000Z

py-pkg/tests/test_clients.py

paulokenza/uptasticsearch

47108a0d75a9e4b9cb5260206dda13fe1c4a3f7e

[ "BSD-3-Clause" ]

26

2017-07-11T21:58:01.000Z

2018-10-25T00:58:26.000Z

"""Integration Tests - test against each version of Elasticsearch """ import pytest import json import pandas as pd from uptasticsearch.clients import Uptasticsearch1 from uptasticsearch.clients import Uptasticsearch2 from uptasticsearch.clients import Uptasticsearch5 from uptasticsearch.clients import Uptasticsearch6 from uptasticsearch.clients import Uptasticsearch7 from uptasticsearch.clients import uptasticsearch_factory from uptasticsearch.fetch_all import es_search class TestEsSearch(object): """ es_search should work and return a pandas DataFrame """ host = "http://127.0.0.1:9200" def test_rectangle(self): result = es_search( self.host, "shakespeare", query_body=json.dumps({}), size=10000, max_hits=10, scroll="1m" ) print(result) assert isinstance(result, pd.DataFrame)

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Python

scripts/misc/config_abl_3dpush_alpha_asr.py

clvrai/mopa-pd

ac55f568149d8e79c28326bcd9b63336ed065a61

[ "MIT" ]

6

2021-11-04T01:38:17.000Z

2022-02-20T11:42:42.000Z

scripts/misc/config_abl_3dpush_alpha_asr.py

clvrai/mopa-pd

ac55f568149d8e79c28326bcd9b63336ed065a61

[ "MIT" ]

null

scripts/misc/config_abl_3dpush_alpha_asr.py

clvrai/mopa-pd

ac55f568149d8e79c28326bcd9b63336ed065a61

[ "MIT" ]

2

2021-11-29T14:15:48.000Z

2021-12-18T15:10:05.000Z

filename_prefix = 'SawyerPush-Abl-Alpha-ASR' xlabel = 'Environment steps (1.2M)' ylabel = "Average Success Rate" max_step = 1200000 max_y_axis_value = 1.0 legend = True data_key = "train_ep/episode_success" bc_y_value = 0 plot_labels = { r'log($\alpha$): 0.5': ['abl._3DPush_ours_log_alpha_0.5_upbeat-serenity-599'], r'log($\alpha$): 0': ['abl._3DPush_ours_log_alpha_0_rose-bird-600'], # r'log($\alpha$): -0.5': ['abl._3DPush_ours_log_alpha_-0.5_vague-cosmos-601'], # r'log($\alpha$): -1': ['abl._3DPush_ours_log_alpha_-1_breezy-moon-602'], r'log($\alpha$): -3': ['abl._3DPush_ours_log_alpha_-3_devoted-serenity-603'], # r'log($\alpha$): -5': ['abl._3DPush_ours_log_alpha_-5_major-resonance-604'], r'log($\alpha$): -10': ['abl._3DPush_ours_log_alpha_-10_fluent-glitter-605'], r'log($\alpha$): -20': ['abl._3DPush_ours_log_alpha_-20_valiant-deluge-606'], r'log($\alpha$): -40': ['abl._3DPush_ours_log_alpha_-40_olive-elevator-607'], } line_labels = {} line_colors = { r'log($\alpha$): 0.5': 'C0', r'log($\alpha$): 0': 'C1', # r'log($\alpha$): -0.5': 'C2', # r'log($\alpha$): -1': 'C3', r'log($\alpha$): -3': 'C4', # r'log($\alpha$): -5': 'C5', r'log($\alpha$): -10': 'C6', r'log($\alpha$): -20': 'C7', r'log($\alpha$): -40': 'C8', }

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py

Python

bokeh-app/scripts/__init__.py

ciaran-grant/bokeh-binder

d171a2aae64d190ff3ec0ca7dd110ccdb8913045

[ "BSD-3-Clause" ]

null

bokeh-app/scripts/__init__.py

ciaran-grant/bokeh-binder

d171a2aae64d190ff3ec0ca7dd110ccdb8913045

[ "BSD-3-Clause" ]

null

bokeh-app/scripts/__init__.py

ciaran-grant/bokeh-binder

d171a2aae64d190ff3ec0ca7dd110ccdb8913045

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Created on Thu May 7 07:27:08 2020 @author: Ciaran """

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py

Python

stubs/3.2/zipfile.py

TimSimpsonR/mypy

5e6fd6335e0662b0477e1d678269f33e6f4194ba

[ "PSF-2.0" ]

null

stubs/3.2/zipfile.py

TimSimpsonR/mypy

5e6fd6335e0662b0477e1d678269f33e6f4194ba

[ "PSF-2.0" ]

null

stubs/3.2/zipfile.py

TimSimpsonR/mypy

5e6fd6335e0662b0477e1d678269f33e6f4194ba

[ "PSF-2.0" ]

null

# TODO these are incomplete from typing import overload, List, Undefined, Tuple, BinaryIO ZIP_STORED = 0 ZIP_DEFLATED = 0 @overload def is_zipfile(filename: str) -> bool: pass @overload def is_zipfile(filename: BinaryIO) -> bool: pass class ZipInfo: filename = '' date_time = Undefined(Tuple[int, int, int, int, int, int]) compressed_size = 0 file_size = 0 class ZipFile: @overload def __init__(self, file: str, mode: str = 'r', compression: int = ZIP_STORED, allowZip64: bool = False) -> None: pass @overload def __init__(self, file: BinaryIO, mode: str = 'r', compression: int = ZIP_STORED, allowZip64: bool = False) -> None: pass def close(self) -> None: pass def getinfo(name: str) -> ZipInfo: pass def infolist(self) -> List[ZipInfo]: pass def namelist(self) -> List[str]: pass @overload def read(self, name: str, pwd: str = None) -> bytes: pass @overload def read(self, name: ZipInfo, pwd: str = None) -> bytes: pass def write(self, filename: str, arcname: str = None, compress_type: int = None) -> None: pass def __enter__(self) -> 'ZipFile': pass def __exit__(self, type, value, traceback) -> bool: pass

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py

Python

src/study/190128_gen.py

jaeorin/Python

366f84b96cfa0ae7dabf7fdfd48c18535997e2f4

[ "MIT" ]

null

src/study/190128_gen.py

jaeorin/Python

366f84b96cfa0ae7dabf7fdfd48c18535997e2f4

[ "MIT" ]

null

src/study/190128_gen.py

jaeorin/Python

366f84b96cfa0ae7dabf7fdfd48c18535997e2f4

[ "MIT" ]

null

def iot_gen(): print("iot_gen 1") yield 'a' print("iot_gen 2") print("iot_gen 2") yield 'b' print("iot_gen 3") print("iot_gen 3") print("iot_gen 3") yield 'c' print(next(iot_gen())) print(next(iot_gen())) print(next(iot_gen())) gen = iot_gen() print(next(gen)) print(next(gen)) print(next(gen)) for element in [1, 2, 3]: print(element)

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py

Python

trains/backend_api/services/v2_2/projects.py

doliveralg/trains

c99d3f36ba621153ff3c35859b8b6c946cdbc80b

[ "Apache-2.0" ]

2

2021-07-30T13:42:46.000Z

2021-11-17T11:01:45.000Z

trains/backend_api/services/v2_2/projects.py

doliveralg/trains

c99d3f36ba621153ff3c35859b8b6c946cdbc80b

[ "Apache-2.0" ]

4

2020-09-26T00:55:57.000Z

2022-02-10T01:18:20.000Z

trains/backend_api/services/v2_2/projects.py

doliveralg/trains

c99d3f36ba621153ff3c35859b8b6c946cdbc80b

[ "Apache-2.0" ]

1

2019-08-19T04:17:15.000Z

""" projects service Provides support for defining Projects containing Tasks, Models and Dataset Versions. """ from datetime import datetime import six from dateutil.parser import parse as parse_datetime from ....backend_api.session import Request, Response, NonStrictDataModel, schema_property, StringEnum class MultiFieldPatternData(NonStrictDataModel): """ :param pattern: Pattern string (regex) :type pattern: str :param fields: List of field names :type fields: Sequence[str] """ _schema = { 'properties': { 'fields': { 'description': 'List of field names', 'items': {'type': 'string'}, 'type': ['array', 'null'], }, 'pattern': { 'description': 'Pattern string (regex)', 'type': ['string', 'null'], }, }, 'type': 'object', } def __init__( self, pattern=None, fields=None, **kwargs): super(MultiFieldPatternData, self).__init__(**kwargs) self.pattern = pattern self.fields = fields @schema_property('pattern') def pattern(self): return self._property_pattern @pattern.setter def pattern(self, value): if value is None: self._property_pattern = None return self.assert_isinstance(value, "pattern", six.string_types) self._property_pattern = value @schema_property('fields') def fields(self): return self._property_fields @fields.setter def fields(self, value): if value is None: self._property_fields = None return self.assert_isinstance(value, "fields", (list, tuple)) self.assert_isinstance(value, "fields", six.string_types, is_array=True) self._property_fields = value class ProjectTagsEnum(StringEnum): archived = "archived" public = "public" default = "default" class Project(NonStrictDataModel): """ :param id: Project id :type id: str :param name: Project name :type name: str :param description: Project description :type description: str :param user: Associated user id :type user: str :param company: Company id :type company: str :param created: Creation time :type created: datetime.datetime :param tags: Tags :type tags: Sequence[ProjectTagsEnum] :param default_output_destination: The default output destination URL for new tasks under this project :type default_output_destination: str :param last_update: Last project update time. Reflects the last time the project metadata was changed or a task in this project has changed status :type last_update: datetime.datetime """ _schema = { 'properties': { 'company': {'description': 'Company id', 'type': ['string', 'null']}, 'created': { 'description': 'Creation time', 'format': 'date-time', 'type': ['string', 'null'], }, 'default_output_destination': { 'description': 'The default output destination URL for new tasks under this project', 'type': ['string', 'null'], }, 'description': { 'description': 'Project description', 'type': ['string', 'null'], }, 'id': {'description': 'Project id', 'type': ['string', 'null']}, 'last_update': { 'description': 'Last project update time. Reflects the last time the project metadata was changed or a task in this project has changed status', 'format': 'date-time', 'type': ['string', 'null'], }, 'name': {'description': 'Project name', 'type': ['string', 'null']}, 'tags': { 'description': 'Tags', 'items': {'$ref': '#/definitions/project_tags_enum'}, 'type': ['array', 'null'], }, 'user': { 'description': 'Associated user id', 'type': ['string', 'null'], }, }, 'type': 'object', } def __init__( self, id=None, name=None, description=None, user=None, company=None, created=None, tags=None, default_output_destination=None, last_update=None, **kwargs): super(Project, self).__init__(**kwargs) self.id = id self.name = name self.description = description self.user = user self.company = company self.created = created self.tags = tags self.default_output_destination = default_output_destination self.last_update = last_update @schema_property('id') def id(self): return self._property_id @id.setter def id(self, value): if value is None: self._property_id = None return self.assert_isinstance(value, "id", six.string_types) self._property_id = value @schema_property('name') def name(self): return self._property_name @name.setter def name(self, value): if value is None: self._property_name = None return self.assert_isinstance(value, "name", six.string_types) self._property_name = value @schema_property('description') def description(self): return self._property_description @description.setter def description(self, value): if value is None: self._property_description = None return self.assert_isinstance(value, "description", six.string_types) self._property_description = value @schema_property('user') def user(self): return self._property_user @user.setter def user(self, value): if value is None: self._property_user = None return self.assert_isinstance(value, "user", six.string_types) self._property_user = value @schema_property('company') def company(self): return self._property_company @company.setter def company(self, value): if value is None: self._property_company = None return self.assert_isinstance(value, "company", six.string_types) self._property_company = value @schema_property('created') def created(self): return self._property_created @created.setter def created(self, value): if value is None: self._property_created = None return self.assert_isinstance(value, "created", six.string_types + (datetime,)) if not isinstance(value, datetime): value = parse_datetime(value) self._property_created = value @schema_property('tags') def tags(self): return self._property_tags @tags.setter def tags(self, value): if value is None: self._property_tags = None return self.assert_isinstance(value, "tags", (list, tuple)) if any(isinstance(v, six.string_types) for v in value): value = [ProjectTagsEnum(v) if isinstance(v, six.string_types) else v for v in value] else: self.assert_isinstance(value, "tags", ProjectTagsEnum, is_array=True) self._property_tags = value @schema_property('default_output_destination') def default_output_destination(self): return self._property_default_output_destination @default_output_destination.setter def default_output_destination(self, value): if value is None: self._property_default_output_destination = None return self.assert_isinstance(value, "default_output_destination", six.string_types) self._property_default_output_destination = value @schema_property('last_update') def last_update(self): return self._property_last_update @last_update.setter def last_update(self, value): if value is None: self._property_last_update = None return self.assert_isinstance(value, "last_update", six.string_types + (datetime,)) if not isinstance(value, datetime): value = parse_datetime(value) self._property_last_update = value class StatsStatusCount(NonStrictDataModel): """ :param total_runtime: Total run time of all tasks in project (in seconds) :type total_runtime: int :param status_count: Status counts :type status_count: dict """ _schema = { 'properties': { 'status_count': { 'description': 'Status counts', 'properties': { 'closed': { 'description': "Number of 'closed' tasks in project", 'type': 'integer', }, 'created': { 'description': "Number of 'created' tasks in project", 'type': 'integer', }, 'failed': { 'description': "Number of 'failed' tasks in project", 'type': 'integer', }, 'in_progress': { 'description': "Number of 'in_progress' tasks in project", 'type': 'integer', }, 'published': { 'description': "Number of 'published' tasks in project", 'type': 'integer', }, 'queued': { 'description': "Number of 'queued' tasks in project", 'type': 'integer', }, 'stopped': { 'description': "Number of 'stopped' tasks in project", 'type': 'integer', }, 'unknown': { 'description': "Number of 'unknown' tasks in project", 'type': 'integer', }, }, 'type': ['object', 'null'], }, 'total_runtime': { 'description': 'Total run time of all tasks in project (in seconds)', 'type': ['integer', 'null'], }, }, 'type': 'object', } def __init__( self, total_runtime=None, status_count=None, **kwargs): super(StatsStatusCount, self).__init__(**kwargs) self.total_runtime = total_runtime self.status_count = status_count @schema_property('total_runtime') def total_runtime(self): return self._property_total_runtime @total_runtime.setter def total_runtime(self, value): if value is None: self._property_total_runtime = None return if isinstance(value, float) and value.is_integer(): value = int(value) self.assert_isinstance(value, "total_runtime", six.integer_types) self._property_total_runtime = value @schema_property('status_count') def status_count(self): return self._property_status_count @status_count.setter def status_count(self, value): if value is None: self._property_status_count = None return self.assert_isinstance(value, "status_count", (dict,)) self._property_status_count = value class Stats(NonStrictDataModel): """ :param active: Stats for active tasks :type active: StatsStatusCount :param archived: Stats for archived tasks :type archived: StatsStatusCount """ _schema = { 'properties': { 'active': { 'description': 'Stats for active tasks', 'oneOf': [ {'$ref': '#/definitions/stats_status_count'}, {'type': 'null'}, ], }, 'archived': { 'description': 'Stats for archived tasks', 'oneOf': [ {'$ref': '#/definitions/stats_status_count'}, {'type': 'null'}, ], }, }, 'type': 'object', } def __init__( self, active=None, archived=None, **kwargs): super(Stats, self).__init__(**kwargs) self.active = active self.archived = archived @schema_property('active') def active(self): return self._property_active @active.setter def active(self, value): if value is None: self._property_active = None return if isinstance(value, dict): value = StatsStatusCount.from_dict(value) else: self.assert_isinstance(value, "active", StatsStatusCount) self._property_active = value @schema_property('archived') def archived(self): return self._property_archived @archived.setter def archived(self, value): if value is None: self._property_archived = None return if isinstance(value, dict): value = StatsStatusCount.from_dict(value) else: self.assert_isinstance(value, "archived", StatsStatusCount) self._property_archived = value class ProjectsGetAllResponseSingle(NonStrictDataModel): """ :param id: Project id :type id: str :param name: Project name :type name: str :param description: Project description :type description: str :param user: Associated user id :type user: str :param company: Company id :type company: str :param created: Creation time :type created: datetime.datetime :param tags: Tags :type tags: Sequence[ProjectTagsEnum] :param default_output_destination: The default output destination URL for new tasks under this project :type default_output_destination: str :param stats: Additional project stats :type stats: Stats """ _schema = { 'properties': { 'company': {'description': 'Company id', 'type': ['string', 'null']}, 'created': { 'description': 'Creation time', 'format': 'date-time', 'type': ['string', 'null'], }, 'default_output_destination': { 'description': 'The default output destination URL for new tasks under this project', 'type': ['string', 'null'], }, 'description': { 'description': 'Project description', 'type': ['string', 'null'], }, 'id': {'description': 'Project id', 'type': ['string', 'null']}, 'name': {'description': 'Project name', 'type': ['string', 'null']}, 'stats': { 'description': 'Additional project stats', 'oneOf': [{'$ref': '#/definitions/stats'}, {'type': 'null'}], }, 'tags': { 'description': 'Tags', 'items': {'$ref': '#/definitions/project_tags_enum'}, 'type': ['array', 'null'], }, 'user': { 'description': 'Associated user id', 'type': ['string', 'null'], }, }, 'type': 'object', } def __init__( self, id=None, name=None, description=None, user=None, company=None, created=None, tags=None, default_output_destination=None, stats=None, **kwargs): super(ProjectsGetAllResponseSingle, self).__init__(**kwargs) self.id = id self.name = name self.description = description self.user = user self.company = company self.created = created self.tags = tags self.default_output_destination = default_output_destination self.stats = stats @schema_property('id') def id(self): return self._property_id @id.setter def id(self, value): if value is None: self._property_id = None return self.assert_isinstance(value, "id", six.string_types) self._property_id = value @schema_property('name') def name(self): return self._property_name @name.setter def name(self, value): if value is None: self._property_name = None return self.assert_isinstance(value, "name", six.string_types) self._property_name = value @schema_property('description') def description(self): return self._property_description @description.setter def description(self, value): if value is None: self._property_description = None return self.assert_isinstance(value, "description", six.string_types) self._property_description = value @schema_property('user') def user(self): return self._property_user @user.setter def user(self, value): if value is None: self._property_user = None return self.assert_isinstance(value, "user", six.string_types) self._property_user = value @schema_property('company') def company(self): return self._property_company @company.setter def company(self, value): if value is None: self._property_company = None return self.assert_isinstance(value, "company", six.string_types) self._property_company = value @schema_property('created') def created(self): return self._property_created @created.setter def created(self, value): if value is None: self._property_created = None return self.assert_isinstance(value, "created", six.string_types + (datetime,)) if not isinstance(value, datetime): value = parse_datetime(value) self._property_created = value @schema_property('tags') def tags(self): return self._property_tags @tags.setter def tags(self, value): if value is None: self._property_tags = None return self.assert_isinstance(value, "tags", (list, tuple)) if any(isinstance(v, six.string_types) for v in value): value = [ProjectTagsEnum(v) if isinstance(v, six.string_types) else v for v in value] else: self.assert_isinstance(value, "tags", ProjectTagsEnum, is_array=True) self._property_tags = value @schema_property('default_output_destination') def default_output_destination(self): return self._property_default_output_destination @default_output_destination.setter def default_output_destination(self, value): if value is None: self._property_default_output_destination = None return self.assert_isinstance(value, "default_output_destination", six.string_types) self._property_default_output_destination = value @schema_property('stats') def stats(self): return self._property_stats @stats.setter def stats(self, value): if value is None: self._property_stats = None return if isinstance(value, dict): value = Stats.from_dict(value) else: self.assert_isinstance(value, "stats", Stats) self._property_stats = value class MetricVariantResult(NonStrictDataModel): """ :param metric: Metric name :type metric: str :param metric_hash: Metric name hash. Used instead of the metric name when categorizing last metrics events in task objects. :type metric_hash: str :param variant: Variant name :type variant: str :param variant_hash: Variant name hash. Used instead of the variant name when categorizing last metrics events in task objects. :type variant_hash: str """ _schema = { 'properties': { 'metric': {'description': 'Metric name', 'type': ['string', 'null']}, 'metric_hash': { 'description': 'Metric name hash. Used instead of the metric name when categorizing\n last metrics events in task objects.', 'type': ['string', 'null'], }, 'variant': {'description': 'Variant name', 'type': ['string', 'null']}, 'variant_hash': { 'description': 'Variant name hash. Used instead of the variant name when categorizing\n last metrics events in task objects.', 'type': ['string', 'null'], }, }, 'type': 'object', } def __init__( self, metric=None, metric_hash=None, variant=None, variant_hash=None, **kwargs): super(MetricVariantResult, self).__init__(**kwargs) self.metric = metric self.metric_hash = metric_hash self.variant = variant self.variant_hash = variant_hash @schema_property('metric') def metric(self): return self._property_metric @metric.setter def metric(self, value): if value is None: self._property_metric = None return self.assert_isinstance(value, "metric", six.string_types) self._property_metric = value @schema_property('metric_hash') def metric_hash(self): return self._property_metric_hash @metric_hash.setter def metric_hash(self, value): if value is None: self._property_metric_hash = None return self.assert_isinstance(value, "metric_hash", six.string_types) self._property_metric_hash = value @schema_property('variant') def variant(self): return self._property_variant @variant.setter def variant(self, value): if value is None: self._property_variant = None return self.assert_isinstance(value, "variant", six.string_types) self._property_variant = value @schema_property('variant_hash') def variant_hash(self): return self._property_variant_hash @variant_hash.setter def variant_hash(self, value): if value is None: self._property_variant_hash = None return self.assert_isinstance(value, "variant_hash", six.string_types) self._property_variant_hash = value class CreateRequest(Request): """ Create a new project :param name: Project name Unique within the company. :type name: str :param description: Project description. :type description: str :param tags: Tags :type tags: Sequence[ProjectTagsEnum] :param default_output_destination: The default output destination URL for new tasks under this project :type default_output_destination: str """ _service = "projects" _action = "create" _version = "1.5" _schema = { 'definitions': { 'project_tags_enum': {'enum': ['archived', 'public', 'default'], 'type': 'string'}, }, 'properties': { 'default_output_destination': { 'description': 'The default output destination URL for new tasks under this project', 'type': 'string', }, 'description': { 'description': 'Project description. ', 'type': 'string', }, 'name': { 'description': 'Project name Unique within the company.', 'type': 'string', }, 'tags': { 'description': 'Tags', 'items': {'$ref': '#/definitions/project_tags_enum'}, 'type': 'array', }, }, 'required': ['name', 'description'], 'type': 'object', } def __init__( self, name, description, tags=None, default_output_destination=None, **kwargs): super(CreateRequest, self).__init__(**kwargs) self.name = name self.description = description self.tags = tags self.default_output_destination = default_output_destination @schema_property('name') def name(self): return self._property_name @name.setter def name(self, value): if value is None: self._property_name = None return self.assert_isinstance(value, "name", six.string_types) self._property_name = value @schema_property('description') def description(self): return self._property_description @description.setter def description(self, value): if value is None: self._property_description = None return self.assert_isinstance(value, "description", six.string_types) self._property_description = value @schema_property('tags') def tags(self): return self._property_tags @tags.setter def tags(self, value): if value is None: self._property_tags = None return self.assert_isinstance(value, "tags", (list, tuple)) if any(isinstance(v, six.string_types) for v in value): value = [ProjectTagsEnum(v) if isinstance(v, six.string_types) else v for v in value] else: self.assert_isinstance(value, "tags", ProjectTagsEnum, is_array=True) self._property_tags = value @schema_property('default_output_destination') def default_output_destination(self): return self._property_default_output_destination @default_output_destination.setter def default_output_destination(self, value): if value is None: self._property_default_output_destination = None return self.assert_isinstance(value, "default_output_destination", six.string_types) self._property_default_output_destination = value class CreateResponse(Response): """ Response of projects.create endpoint. :param id: Project id :type id: str """ _service = "projects" _action = "create" _version = "1.5" _schema = { 'definitions': {}, 'properties': { 'id': {'description': 'Project id', 'type': ['string', 'null']}, }, 'type': 'object', } def __init__( self, id=None, **kwargs): super(CreateResponse, self).__init__(**kwargs) self.id = id @schema_property('id') def id(self): return self._property_id @id.setter def id(self, value): if value is None: self._property_id = None return self.assert_isinstance(value, "id", six.string_types) self._property_id = value class DeleteRequest(Request): """ Deletes a project :param project: Project id :type project: str :param force: If not true, fails if project has tasks. If true, and project has tasks, they will be unassigned :type force: bool """ _service = "projects" _action = "delete" _version = "1.5" _schema = { 'definitions': {}, 'properties': { 'force': { 'default': False, 'description': 'If not true, fails if project has tasks.\n If true, and project has tasks, they will be unassigned', 'type': 'boolean', }, 'project': {'description': 'Project id', 'type': 'string'}, }, 'required': ['project'], 'type': 'object', } def __init__( self, project, force=False, **kwargs): super(DeleteRequest, self).__init__(**kwargs) self.project = project self.force = force @schema_property('project') def project(self): return self._property_project @project.setter def project(self, value): if value is None: self._property_project = None return self.assert_isinstance(value, "project", six.string_types) self._property_project = value @schema_property('force') def force(self): return self._property_force @force.setter def force(self, value): if value is None: self._property_force = None return self.assert_isinstance(value, "force", (bool,)) self._property_force = value class DeleteResponse(Response): """ Response of projects.delete endpoint. :param deleted: Number of projects deleted (0 or 1) :type deleted: int :param disassociated_tasks: Number of tasks disassociated from the deleted project :type disassociated_tasks: int """ _service = "projects" _action = "delete" _version = "1.5" _schema = { 'definitions': {}, 'properties': { 'deleted': { 'description': 'Number of projects deleted (0 or 1)', 'type': ['integer', 'null'], }, 'disassociated_tasks': { 'description': 'Number of tasks disassociated from the deleted project', 'type': ['integer', 'null'], }, }, 'type': 'object', } def __init__( self, deleted=None, disassociated_tasks=None, **kwargs): super(DeleteResponse, self).__init__(**kwargs) self.deleted = deleted self.disassociated_tasks = disassociated_tasks @schema_property('deleted') def deleted(self): return self._property_deleted @deleted.setter def deleted(self, value): if value is None: self._property_deleted = None return if isinstance(value, float) and value.is_integer(): value = int(value) self.assert_isinstance(value, "deleted", six.integer_types) self._property_deleted = value @schema_property('disassociated_tasks') def disassociated_tasks(self): return self._property_disassociated_tasks @disassociated_tasks.setter def disassociated_tasks(self, value): if value is None: self._property_disassociated_tasks = None return if isinstance(value, float) and value.is_integer(): value = int(value) self.assert_isinstance(value, "disassociated_tasks", six.integer_types) self._property_disassociated_tasks = value class GetAllRequest(Request): """ Get all the company's projects and all public projects :param id: List of IDs to filter by :type id: Sequence[str] :param name: Get only projects whose name matches this pattern (python regular expression syntax) :type name: str :param description: Get only projects whose description matches this pattern (python regular expression syntax) :type description: str :param tags: Tags list used to filter results. Prepend '-' to tag name to indicate exclusion :type tags: Sequence[str] :param order_by: List of field names to order by. When search_text is used, '@text_score' can be used as a field representing the text score of returned documents. Use '-' prefix to specify descending order. Optional, recommended when using page :type order_by: Sequence[str] :param page: Page number, returns a specific page out of the resulting list of dataviews :type page: int :param page_size: Page size, specifies the number of results returned in each page (last page may contain fewer results) :type page_size: int :param search_text: Free text search query :type search_text: str :param only_fields: List of document's field names (nesting is supported using '.', e.g. execution.model_labels). If provided, this list defines the query's projection (only these fields will be returned for each result entry) :type only_fields: Sequence[str] :param _all_: Multi-field pattern condition (all fields match pattern) :type _all_: MultiFieldPatternData :param _any_: Multi-field pattern condition (any field matches pattern) :type _any_: MultiFieldPatternData """ _service = "projects" _action = "get_all" _version = "1.5" _schema = { 'definitions': { 'multi_field_pattern_data': { 'properties': { 'fields': { 'description': 'List of field names', 'items': {'type': 'string'}, 'type': ['array', 'null'], }, 'pattern': { 'description': 'Pattern string (regex)', 'type': ['string', 'null'], }, }, 'type': 'object', }, }, 'properties': { '_all_': { 'description': 'Multi-field pattern condition (all fields match pattern)', 'oneOf': [ {'$ref': '#/definitions/multi_field_pattern_data'}, {'type': 'null'}, ], }, '_any_': { 'description': 'Multi-field pattern condition (any field matches pattern)', 'oneOf': [ {'$ref': '#/definitions/multi_field_pattern_data'}, {'type': 'null'}, ], }, 'description': { 'description': 'Get only projects whose description matches this pattern (python regular expression syntax)', 'type': ['string', 'null'], }, 'id': { 'description': 'List of IDs to filter by', 'items': {'type': 'string'}, 'type': ['array', 'null'], }, 'name': { 'description': 'Get only projects whose name matches this pattern (python regular expression syntax)', 'type': ['string', 'null'], }, 'only_fields': { 'description': "List of document's field names (nesting is supported using '.', e.g. execution.model_labels). If provided, this list defines the query's projection (only these fields will be returned for each result entry)", 'items': {'type': 'string'}, 'type': ['array', 'null'], }, 'order_by': { 'description': "List of field names to order by. When search_text is used, '@text_score' can be used as a field representing the text score of returned documents. Use '-' prefix to specify descending order. Optional, recommended when using page", 'items': {'type': 'string'}, 'type': ['array', 'null'], }, 'page': { 'description': 'Page number, returns a specific page out of the resulting list of dataviews', 'minimum': 0, 'type': ['integer', 'null'], }, 'page_size': { 'description': 'Page size, specifies the number of results returned in each page (last page may contain fewer results)', 'minimum': 1, 'type': ['integer', 'null'], }, 'search_text': { 'description': 'Free text search query', 'type': ['string', 'null'], }, 'tags': { 'description': "Tags list used to filter results. Prepend '-' to tag name to indicate exclusion", 'items': {'type': 'string'}, 'type': ['array', 'null'], }, }, 'type': 'object', } def __init__( self, id=None, name=None, description=None, tags=None, order_by=None, page=None, page_size=None, search_text=None, only_fields=None, _all_=None, _any_=None, **kwargs): super(GetAllRequest, self).__init__(**kwargs) self.id = id self.name = name self.description = description self.tags = tags self.order_by = order_by self.page = page self.page_size = page_size self.search_text = search_text self.only_fields = only_fields self._all_ = _all_ self._any_ = _any_ @schema_property('id') def id(self): return self._property_id @id.setter def id(self, value): if value is None: self._property_id = None return self.assert_isinstance(value, "id", (list, tuple)) self.assert_isinstance(value, "id", six.string_types, is_array=True) self._property_id = value @schema_property('name') def name(self): return self._property_name @name.setter def name(self, value): if value is None: self._property_name = None return self.assert_isinstance(value, "name", six.string_types) self._property_name = value @schema_property('description') def description(self): return self._property_description @description.setter def description(self, value): if value is None: self._property_description = None return self.assert_isinstance(value, "description", six.string_types) self._property_description = value @schema_property('tags') def tags(self): return self._property_tags @tags.setter def tags(self, value): if value is None: self._property_tags = None return self.assert_isinstance(value, "tags", (list, tuple)) self.assert_isinstance(value, "tags", six.string_types, is_array=True) self._property_tags = value @schema_property('order_by') def order_by(self): return self._property_order_by @order_by.setter def order_by(self, value): if value is None: self._property_order_by = None return self.assert_isinstance(value, "order_by", (list, tuple)) self.assert_isinstance(value, "order_by", six.string_types, is_array=True) self._property_order_by = value @schema_property('page') def page(self): return self._property_page @page.setter def page(self, value): if value is None: self._property_page = None return if isinstance(value, float) and value.is_integer(): value = int(value) self.assert_isinstance(value, "page", six.integer_types) self._property_page = value @schema_property('page_size') def page_size(self): return self._property_page_size @page_size.setter def page_size(self, value): if value is None: self._property_page_size = None return if isinstance(value, float) and value.is_integer(): value = int(value) self.assert_isinstance(value, "page_size", six.integer_types) self._property_page_size = value @schema_property('search_text') def search_text(self): return self._property_search_text @search_text.setter def search_text(self, value): if value is None: self._property_search_text = None return self.assert_isinstance(value, "search_text", six.string_types) self._property_search_text = value @schema_property('only_fields') def only_fields(self): return self._property_only_fields @only_fields.setter def only_fields(self, value): if value is None: self._property_only_fields = None return self.assert_isinstance(value, "only_fields", (list, tuple)) self.assert_isinstance(value, "only_fields", six.string_types, is_array=True) self._property_only_fields = value @schema_property('_all_') def _all_(self): return self._property__all_ @_all_.setter def _all_(self, value): if value is None: self._property__all_ = None return if isinstance(value, dict): value = MultiFieldPatternData.from_dict(value) else: self.assert_isinstance(value, "_all_", MultiFieldPatternData) self._property__all_ = value @schema_property('_any_') def _any_(self): return self._property__any_ @_any_.setter def _any_(self, value): if value is None: self._property__any_ = None return if isinstance(value, dict): value = MultiFieldPatternData.from_dict(value) else: self.assert_isinstance(value, "_any_", MultiFieldPatternData) self._property__any_ = value class GetAllResponse(Response): """ Response of projects.get_all endpoint. :param projects: Projects list :type projects: Sequence[ProjectsGetAllResponseSingle] """ _service = "projects" _action = "get_all" _version = "1.5" _schema = { 'definitions': { 'project_tags_enum': {'enum': ['archived', 'public', 'default'], 'type': 'string'}, 'projects_get_all_response_single': { 'properties': { 'company': { 'description': 'Company id', 'type': ['string', 'null'], }, 'created': { 'description': 'Creation time', 'format': 'date-time', 'type': ['string', 'null'], }, 'default_output_destination': { 'description': 'The default output destination URL for new tasks under this project', 'type': ['string', 'null'], }, 'description': { 'description': 'Project description', 'type': ['string', 'null'], }, 'id': {'description': 'Project id', 'type': ['string', 'null']}, 'name': { 'description': 'Project name', 'type': ['string', 'null'], }, 'stats': { 'description': 'Additional project stats', 'oneOf': [ {'$ref': '#/definitions/stats'}, {'type': 'null'}, ], }, 'tags': { 'description': 'Tags', 'items': {'$ref': '#/definitions/project_tags_enum'}, 'type': ['array', 'null'], }, 'user': { 'description': 'Associated user id', 'type': ['string', 'null'], }, }, 'type': 'object', }, 'stats': { 'properties': { 'active': { 'description': 'Stats for active tasks', 'oneOf': [ {'$ref': '#/definitions/stats_status_count'}, {'type': 'null'}, ], }, 'archived': { 'description': 'Stats for archived tasks', 'oneOf': [ {'$ref': '#/definitions/stats_status_count'}, {'type': 'null'}, ], }, }, 'type': 'object', }, 'stats_status_count': { 'properties': { 'status_count': { 'description': 'Status counts', 'properties': { 'closed': { 'description': "Number of 'closed' tasks in project", 'type': 'integer', }, 'created': { 'description': "Number of 'created' tasks in project", 'type': 'integer', }, 'failed': { 'description': "Number of 'failed' tasks in project", 'type': 'integer', }, 'in_progress': { 'description': "Number of 'in_progress' tasks in project", 'type': 'integer', }, 'published': { 'description': "Number of 'published' tasks in project", 'type': 'integer', }, 'queued': { 'description': "Number of 'queued' tasks in project", 'type': 'integer', }, 'stopped': { 'description': "Number of 'stopped' tasks in project", 'type': 'integer', }, 'unknown': { 'description': "Number of 'unknown' tasks in project", 'type': 'integer', }, }, 'type': ['object', 'null'], }, 'total_runtime': { 'description': 'Total run time of all tasks in project (in seconds)', 'type': ['integer', 'null'], }, }, 'type': 'object', }, }, 'properties': { 'projects': { 'description': 'Projects list', 'items': { '$ref': '#/definitions/projects_get_all_response_single', }, 'type': ['array', 'null'], }, }, 'type': 'object', } def __init__( self, projects=None, **kwargs): super(GetAllResponse, self).__init__(**kwargs) self.projects = projects @schema_property('projects') def projects(self): return self._property_projects @projects.setter def projects(self, value): if value is None: self._property_projects = None return self.assert_isinstance(value, "projects", (list, tuple)) if any(isinstance(v, dict) for v in value): value = [ProjectsGetAllResponseSingle.from_dict(v) if isinstance(v, dict) else v for v in value] else: self.assert_isinstance(value, "projects", ProjectsGetAllResponseSingle, is_array=True) self._property_projects = value class GetByIdRequest(Request): """ :param project: Project id :type project: str """ _service = "projects" _action = "get_by_id" _version = "1.5" _schema = { 'definitions': {}, 'properties': {'project': {'description': 'Project id', 'type': 'string'}}, 'required': ['project'], 'type': 'object', } def __init__( self, project, **kwargs): super(GetByIdRequest, self).__init__(**kwargs) self.project = project @schema_property('project') def project(self): return self._property_project @project.setter def project(self, value): if value is None: self._property_project = None return self.assert_isinstance(value, "project", six.string_types) self._property_project = value class GetByIdResponse(Response): """ Response of projects.get_by_id endpoint. :param project: Project info :type project: Project """ _service = "projects" _action = "get_by_id" _version = "1.5" _schema = { 'definitions': { 'project': { 'properties': { 'company': { 'description': 'Company id', 'type': ['string', 'null'], }, 'created': { 'description': 'Creation time', 'format': 'date-time', 'type': ['string', 'null'], }, 'default_output_destination': { 'description': 'The default output destination URL for new tasks under this project', 'type': ['string', 'null'], }, 'description': { 'description': 'Project description', 'type': ['string', 'null'], }, 'id': {'description': 'Project id', 'type': ['string', 'null']}, 'last_update': { 'description': 'Last project update time. Reflects the last time the project metadata was changed or a task in this project has changed status', 'format': 'date-time', 'type': ['string', 'null'], }, 'name': { 'description': 'Project name', 'type': ['string', 'null'], }, 'tags': { 'description': 'Tags', 'items': {'$ref': '#/definitions/project_tags_enum'}, 'type': ['array', 'null'], }, 'user': { 'description': 'Associated user id', 'type': ['string', 'null'], }, }, 'type': 'object', }, 'project_tags_enum': {'enum': ['archived', 'public', 'default'], 'type': 'string'}, }, 'properties': { 'project': { 'description': 'Project info', 'oneOf': [{'$ref': '#/definitions/project'}, {'type': 'null'}], }, }, 'type': 'object', } def __init__( self, project=None, **kwargs): super(GetByIdResponse, self).__init__(**kwargs) self.project = project @schema_property('project') def project(self): return self._property_project @project.setter def project(self, value): if value is None: self._property_project = None return if isinstance(value, dict): value = Project.from_dict(value) else: self.assert_isinstance(value, "project", Project) self._property_project = value class GetUniqueMetricVariantsRequest(Request): """ Get all metric/variant pairs reported for tasks in a specific project. If no project is specified, metrics/variant paris reported for all tasks will be returned. If the project does not exist, an empty list will be returned. :param project: Project ID :type project: str """ _service = "projects" _action = "get_unique_metric_variants" _version = "1.6" _schema = { 'definitions': {}, 'properties': { 'project': {'description': 'Project ID', 'type': ['string', 'null']}, }, 'type': 'object', } def __init__( self, project=None, **kwargs): super(GetUniqueMetricVariantsRequest, self).__init__(**kwargs) self.project = project @schema_property('project') def project(self): return self._property_project @project.setter def project(self, value): if value is None: self._property_project = None return self.assert_isinstance(value, "project", six.string_types) self._property_project = value class GetUniqueMetricVariantsResponse(Response): """ Response of projects.get_unique_metric_variants endpoint. :param metrics: A list of metric variants reported for tasks in this project :type metrics: Sequence[MetricVariantResult] """ _service = "projects" _action = "get_unique_metric_variants" _version = "1.6" _schema = { 'definitions': { 'metric_variant_result': { 'properties': { 'metric': { 'description': 'Metric name', 'type': ['string', 'null'], }, 'metric_hash': { 'description': 'Metric name hash. Used instead of the metric name when categorizing\n last metrics events in task objects.', 'type': ['string', 'null'], }, 'variant': { 'description': 'Variant name', 'type': ['string', 'null'], }, 'variant_hash': { 'description': 'Variant name hash. Used instead of the variant name when categorizing\n last metrics events in task objects.', 'type': ['string', 'null'], }, }, 'type': 'object', }, }, 'properties': { 'metrics': { 'description': 'A list of metric variants reported for tasks in this project', 'items': {'$ref': '#/definitions/metric_variant_result'}, 'type': ['array', 'null'], }, }, 'type': 'object', } def __init__( self, metrics=None, **kwargs): super(GetUniqueMetricVariantsResponse, self).__init__(**kwargs) self.metrics = metrics @schema_property('metrics') def metrics(self): return self._property_metrics @metrics.setter def metrics(self, value): if value is None: self._property_metrics = None return self.assert_isinstance(value, "metrics", (list, tuple)) if any(isinstance(v, dict) for v in value): value = [MetricVariantResult.from_dict(v) if isinstance(v, dict) else v for v in value] else: self.assert_isinstance(value, "metrics", MetricVariantResult, is_array=True) self._property_metrics = value class UpdateRequest(Request): """ Update project information :param project: Project id :type project: str :param name: Project name. Unique within the company. :type name: str :param description: Project description :type description: str :param tags: Tags list :type tags: Sequence[str] :param default_output_destination: The default output destination URL for new tasks under this project :type default_output_destination: str """ _service = "projects" _action = "update" _version = "1.5" _schema = { 'definitions': {}, 'properties': { 'default_output_destination': { 'description': 'The default output destination URL for new tasks under this project', 'type': 'string', }, 'description': { 'description': 'Project description', 'type': 'string', }, 'name': { 'description': 'Project name. Unique within the company.', 'type': 'string', }, 'project': {'description': 'Project id', 'type': 'string'}, 'tags': {'description': 'Tags list', 'items': {'type': 'string'}, 'type': 'array'}, }, 'required': ['project'], 'type': 'object', } def __init__( self, project, name=None, description=None, tags=None, default_output_destination=None, **kwargs): super(UpdateRequest, self).__init__(**kwargs) self.project = project self.name = name self.description = description self.tags = tags self.default_output_destination = default_output_destination @schema_property('project') def project(self): return self._property_project @project.setter def project(self, value): if value is None: self._property_project = None return self.assert_isinstance(value, "project", six.string_types) self._property_project = value @schema_property('name') def name(self): return self._property_name @name.setter def name(self, value): if value is None: self._property_name = None return self.assert_isinstance(value, "name", six.string_types) self._property_name = value @schema_property('description') def description(self): return self._property_description @description.setter def description(self, value): if value is None: self._property_description = None return self.assert_isinstance(value, "description", six.string_types) self._property_description = value @schema_property('tags') def tags(self): return self._property_tags @tags.setter def tags(self, value): if value is None: self._property_tags = None return self.assert_isinstance(value, "tags", (list, tuple)) self.assert_isinstance(value, "tags", six.string_types, is_array=True) self._property_tags = value @schema_property('default_output_destination') def default_output_destination(self): return self._property_default_output_destination @default_output_destination.setter def default_output_destination(self, value): if value is None: self._property_default_output_destination = None return self.assert_isinstance(value, "default_output_destination", six.string_types) self._property_default_output_destination = value class UpdateResponse(Response): """ Response of projects.update endpoint. :param updated: Number of projects updated (0 or 1) :type updated: int :param fields: Updated fields names and values :type fields: dict """ _service = "projects" _action = "update" _version = "1.5" _schema = { 'definitions': {}, 'properties': { 'fields': { 'additionalProperties': True, 'description': 'Updated fields names and values', 'type': ['object', 'null'], }, 'updated': { 'description': 'Number of projects updated (0 or 1)', 'enum': [0, 1], 'type': ['integer', 'null'], }, }, 'type': 'object', } def __init__( self, updated=None, fields=None, **kwargs): super(UpdateResponse, self).__init__(**kwargs) self.updated = updated self.fields = fields @schema_property('updated') def updated(self): return self._property_updated @updated.setter def updated(self, value): if value is None: self._property_updated = None return if isinstance(value, float) and value.is_integer(): value = int(value) self.assert_isinstance(value, "updated", six.integer_types) self._property_updated = value @schema_property('fields') def fields(self): return self._property_fields @fields.setter def fields(self, value): if value is None: self._property_fields = None return self.assert_isinstance(value, "fields", (dict,)) self._property_fields = value response_mapping = { CreateRequest: CreateResponse, GetByIdRequest: GetByIdResponse, GetAllRequest: GetAllResponse, UpdateRequest: UpdateResponse, DeleteRequest: DeleteResponse, GetUniqueMetricVariantsRequest: GetUniqueMetricVariantsResponse, }

32.989166

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0.543171

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60,898

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null

0

4

be4137afe331f5a0fe0cbc2e51f8d32672087a38

315

py

Python

data/signals.py

noirbizarre/pelican-data

4be92437ea8aa40f604ae0fdc4d731ecc64f0e79

[ "MIT" ]

1

2020-03-17T21:34:26.000Z

data/signals.py

noirbizarre/pelican-data

4be92437ea8aa40f604ae0fdc4d731ecc64f0e79

[ "MIT" ]

2

2020-03-17T21:35:15.000Z

2022-03-13T01:04:54.000Z

data/signals.py

noirbizarre/pelican-data

4be92437ea8aa40f604ae0fdc4d731ecc64f0e79

[ "MIT" ]

null

from blinker import signal data_generator_init = signal('data_generator_init') data_generator_finalized = signal('data_generator_finalized') data_writer_finalized = signal('data_writer_finalized') data_generator_preread = signal('data_generator_preread') data_generator_context = signal('data_generator_context')

35

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6.384615

0.282051

0.417671

0.381526

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0.166667

0

null

1

0

1

0

null

0

4

be46f64ab983369f01986178aed14e039e0758da

75

py

Python

src/google_music_proto/musicmanager/constants.py

hedgepigdaniel/google-music-proto

37fab538c7d6ca939736047e5137d46e0ff2f85f

[ "MIT" ]

10

2018-10-20T01:06:10.000Z

2021-10-05T12:05:36.000Z

src/google_music_proto/musicmanager/constants.py

hedgepigdaniel/google-music-proto

37fab538c7d6ca939736047e5137d46e0ff2f85f

[ "MIT" ]

11

2018-12-28T00:00:11.000Z

2020-07-13T13:03:25.000Z

src/google_music_proto/musicmanager/constants.py

hedgepigdaniel/google-music-proto

37fab538c7d6ca939736047e5137d46e0ff2f85f

[ "MIT" ]

3

2019-05-15T17:58:33.000Z

2020-08-17T13:53:41.000Z

__all__ = ['API_URL'] API_URL = 'https://android.clients.google.com/upsj'

18.75

51

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null

1

0

1

0

1

0

null

0

4

be470142369cd319e31439260aa35482bfcbaa59

91

py

Python

purchase/apps.py

kissops/ERPv

e5772f5e254d178bb29661d22401c9edcb6067ce

[ "MIT" ]

2

2019-07-25T10:58:59.000Z

2020-11-08T02:32:44.000Z

purchase/apps.py

kissops/ERPv-server

e5772f5e254d178bb29661d22401c9edcb6067ce

[ "MIT" ]

21

2021-01-01T14:08:41.000Z

2021-09-01T16:04:20.000Z

purchase/apps.py

kissops/ERPv-server

e5772f5e254d178bb29661d22401c9edcb6067ce

[ "MIT" ]

1

2020-10-05T03:35:28.000Z

from django.apps import AppConfig class PurchaseConfig(AppConfig): name = "purchase"

15.166667

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91

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5

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null

0

1

0

null

0

1

0

1

0

4

be64336fe6d7b491ca24525d4bb71f44cb7492ef

5,089

py

Python

networkscanners/models.py

GMedian/archerysec

9591fdb6b21ca56d77364d1433acbaff84437c7f

[ "BSD-3-Clause" ]

1

2018-11-10T22:34:27.000Z

networkscanners/models.py

GMedian/archerysec

9591fdb6b21ca56d77364d1433acbaff84437c7f

[ "BSD-3-Clause" ]

8

2020-02-12T00:43:21.000Z

2022-03-11T23:25:08.000Z

networkscanners/models.py

GMedian/archerysec

9591fdb6b21ca56d77364d1433acbaff84437c7f

[ "BSD-3-Clause" ]

1

2018-08-12T17:29:35.000Z

# -*- coding: utf-8 -*- # _ # /\ | | # / \ _ __ ___| |__ ___ _ __ _ _ # / /\ \ | '__/ __| '_ \ / _ \ '__| | | | # / ____ \| | | (__| | | | __/ | | |_| | #/_/ \_\_| \___|_| |_|\___|_| \__, | # __/ | # |___/ # Copyright (C) 2017-2018 ArcherySec # This file is part of ArcherySec Project. from __future__ import unicode_literals from django.db import models from fernet_fields import EncryptedTextField class ov_scan_result_db(models.Model): scan_id = models.TextField(blank=True) rescan_id = models.TextField(blank=True, null=True) project_id = models.UUIDField(null=True) vul_id = models.TextField(blank=True) name = models.TextField(blank=True) owner = models.TextField(blank=True) comment = models.TextField(blank=True) creation_time = models.TextField(blank=True) modification_time = models.TextField(blank=True) user_tags = models.TextField(blank=True) host = models.TextField(blank=True) port = models.TextField(blank=True) nvt = models.TextField(blank=True) scan_nvt_version = models.TextField(blank=True) threat = models.TextField(blank=True) severity = models.TextField(blank=True) qod = models.TextField(blank=True) description = models.TextField(blank=True) term = models.TextField(blank=True) keywords = models.TextField(blank=True) field = models.TextField(blank=True) filtered = models.TextField(blank=True) page = models.TextField(blank=True) vuln_color = models.TextField(blank=True) family = models.TextField(blank=True) cvss_base = models.TextField(blank=True) cve = models.TextField(blank=True) bid = models.TextField(blank=True) xref = models.TextField(blank=True) tags = models.TextField(blank=True) banner = models.TextField(blank=True) date_time = models.DateTimeField(null=True) false_positive = models.TextField(null=True, blank=True) jira_ticket = models.TextField(null=True, blank=True) class scan_save_db(models.Model): scan_id = models.TextField(blank=True) rescan_id = models.TextField(blank=True, null=True) scan_ip = models.TextField(blank=True) target_id = models.TextField(blank=True) scan_status = models.TextField(blank=True) total_vul = models.TextField(blank=True) high_total = models.TextField(blank=True) medium_total = models.TextField(blank=True) low_total = models.TextField(blank=True) project_id = models.TextField(blank=True) date_time = models.DateTimeField(null=True) class task_schedule_db(models.Model): task_id = models.TextField(blank=True, null=True) target = models.TextField(blank=True, null=True) schedule_time = models.TextField(blank=True, null=True) project_id = models.TextField(blank=True, null=True) scanner = models.TextField(blank=True, null=True) periodic_task = models.TextField(blank=True, null=True) class nessus_report_db(models.Model): project_id = models.UUIDField(null=True) scan_id = models.TextField(blank=True) vul_id = models.TextField(blank=True) agent = models.TextField(blank=True, null=True) description = models.TextField(blank=True, null=True) fname = models.TextField(blank=True, null=True) plugin_modification_date = models.TextField(blank=True, null=True) plugin_name = models.TextField(blank=True, null=True) plugin_publication_date = models.TextField(blank=True, null=True) plugin_type = models.TextField(blank=True, null=True) risk_factor = models.TextField(blank=True, null=True) script_version = models.TextField(blank=True, null=True) see_also = models.TextField(blank=True, null=True) solution = models.TextField(blank=True, null=True) synopsis = models.TextField(blank=True, null=True) plugin_output = models.TextField(blank=True, null=True) false_positive = models.TextField(blank=True, null=True) pluginName = models.TextField(blank=True, null=True) pluginID = models.TextField(blank=True, null=True) protocol = models.TextField(blank=True, null=True) severity = models.TextField(blank=True, null=True) svc_name = models.TextField(blank=True, null=True) pluginFamily = models.TextField(blank=True, null=True) port = models.TextField(blank=True, null=True) scan_ip = models.TextField(blank=True, null=True) jira_ticket = models.TextField(null=True, blank=True) class nessus_scan_db(models.Model): scan_id = models.TextField(blank=True) rescan_id = models.TextField(blank=True, null=True) scan_ip = models.TextField(blank=True) target_id = models.TextField(blank=True) scan_status = models.TextField(blank=True) total_vul = models.TextField(blank=True) critical_total = models.TextField(blank=True) high_total = models.TextField(blank=True) medium_total = models.TextField(blank=True) low_total = models.TextField(blank=True) project_id = models.TextField(blank=True) date_time = models.DateTimeField(null=True)

42.408333

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0.46875

0.5625

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0.332755

0.314815

0

0.002142

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5,089

120

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42.408333

0.820324

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0

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false

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0

1

0

null

1

0

null

0

1

0

4

be911cdba75bbf9da0519aaf876628747580d1c5

168

py

Python

calculos.py

tiagopariz/FaztCursoPythonParaPrincipiantes

4a9e1c24baf4a60424791f5b80b18e89395839a1

[ "MIT" ]

null

calculos.py

tiagopariz/FaztCursoPythonParaPrincipiantes

4a9e1c24baf4a60424791f5b80b18e89395839a1

[ "MIT" ]

null

calculos.py

tiagopariz/FaztCursoPythonParaPrincipiantes

4a9e1c24baf4a60424791f5b80b18e89395839a1

[ "MIT" ]

null

import matematica matematica.add(1, 2) matematica.subtract(1, 2) from matematica import add add(1, 2) from matematica import add, subtract subtract(1, 2) add(1, 2)

12.923077

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0.12

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1

0

4

bea134192e6be0731226c8ce0884fd3efe181140

315

py

Python

analysis/cec_python_library/cec2013/__init__.py

stevenjson/ALife2018-Lineage

43ac2de8e9fa36dbbffda626cb4bc08780dc8e49

[ "MIT" ]

65

2016-04-07T10:53:45.000Z

2022-03-21T00:48:32.000Z

analysis/cec_python_library/cec2013/__init__.py

stevenjson/ALife2018-Lineage

43ac2de8e9fa36dbbffda626cb4bc08780dc8e49

[ "MIT" ]

5

2016-08-29T01:52:20.000Z

2020-09-04T04:10:54.000Z

analysis/cec_python_library/cec2013/__init__.py

stevenjson/ALife2018-Lineage

43ac2de8e9fa36dbbffda626cb4bc08780dc8e49

[ "MIT" ]

56

2015-08-08T04:24:05.000Z

2022-02-28T08:43:11.000Z

############################################################################### # Version: 1.1 # Last modified on: 3 April, 2016 # Developers: Michael G. Epitropakis # email: m_(DOT)_epitropakis_(AT)_lancaster_(DOT)_ac_(DOT)_uk ###############################################################################

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6

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1

0

null

0

1

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4

beaeb74afa35292fac7af82f13506c9f3d37db60

116

py

Python

examples/ftplib.py

mikelolasagasti/bandit

3dca7820158ea04668878186a29d34e81bbd7fe3

[ "Apache-2.0" ]

4,016

2018-04-26T13:01:54.000Z

2022-03-31T15:57:41.000Z

examples/ftplib.py

lweslen/bandit

2bd1ffaae1b83102af8587dcbeecd0b402dbec4e

[ "Apache-2.0" ]

570

2018-04-26T10:07:41.000Z

2022-03-29T18:55:09.000Z

examples/ftplib.py

lweslen/bandit

2bd1ffaae1b83102af8587dcbeecd0b402dbec4e

[ "Apache-2.0" ]

484

2018-04-26T09:59:46.000Z

2022-03-31T18:00:50.000Z

from ftplib import FTP ftp = FTP('ftp.debian.org') ftp.login() ftp.cwd('debian') ftp.retrlines('LIST') ftp.quit()

12.888889

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116

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0.112069

116

9

28

12.888889

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null

1

0

1

0

null

0

4

fe2385d81a80af74b3b37952cfb29d23f7f63ff5

1,282

py

Python

encode.py

xiahualiu/AI-Cube

5795306a2abde53d1000e71fa5b60e3c7532bfe6

[ "MIT" ]

1

2021-02-22T21:33:09.000Z

encode.py

xiahualiu/AI-Cube

5795306a2abde53d1000e71fa5b60e3c7532bfe6

[ "MIT" ]

null

encode.py

xiahualiu/AI-Cube

5795306a2abde53d1000e71fa5b60e3c7532bfe6

[ "MIT" ]

null

import numpy as np def encode(state): # This is the function that encode one single state # We need to encode the [7,2] shaped state array into [1,168] shaped array # befor we feed it to the RL network # # Input Size: 1 Input Type: cube.state (np.array.shape=[7,2]) # Output: 1) encoded_state Size: [1,168] Type:np.array Dtype=np.float64 # def f(x): result=np.zeros([24],dtype=np.float64) result[x[0]+x[1]*8]=1 return result return np.array([f(xi) for xi in state],dtype=np.float64).flatten() # 1x168 array def encode_batch(batch): # This is the function that encode a batch of states # We need to encode the [n,7,2] shaped state array into [n,1,168] shaped array # befor we feed it to the RL network # # Input Size: 1 Input Type: a batch of cube.state (np.array.shape=[n,7,2]) # Output: 1) encoded_state_bathc Size: [n,1,168] Type:np.array Dtype=np.float64 def f(x): result=np.zeros([24],dtype=np.float64) result[x[0]+x[1]*8]=1 return result return np.array([np.array([f(xi) for xi in state],dtype=np.float64).flatten() for state in batch],\ dtype=np.float64)

38.848485

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1,282

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null

0

1

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1

0

4

fe26cd422d2daa21b30dbfb8685eab1cc0ad71f1

1,773

py

Python

python/alchemy/examples/alchemy_language_v1.py

semplea/characters-meta

bf5a066b203648fec8658a76b79ddb3e5159b1ae

[ "MIT" ]

null

python/alchemy/examples/alchemy_language_v1.py

semplea/characters-meta

bf5a066b203648fec8658a76b79ddb3e5159b1ae

[ "MIT" ]

null

python/alchemy/examples/alchemy_language_v1.py

semplea/characters-meta

bf5a066b203648fec8658a76b79ddb3e5159b1ae

[ "MIT" ]

null

import json from os.path import join, dirname from watson_developer_cloud import AlchemyLanguageV1 alchemy_language = AlchemyLanguageV1(api_key='c851400276c1acbd020210847f8677e6d1577c26') url = 'https://developer.ibm.com/watson/blog/2015/11/03/price-reduction-for-watson-personality-insights/' print(json.dumps(alchemy_language.targeted_sentiment(text='I love cats! Dogs are smelly.', targets=['cats', 'dogs'], language='english'), indent=2)) # print(json.dumps(alchemy_language.author(url=url), indent=2)) # print(json.dumps(alchemy_language.keywords(max_items=5, url=url), indent=2)) # print(json.dumps(alchemy_language.concepts(max_items=2, url=url), indent=2)) # print(json.dumps(alchemy_language.entities(url=url), indent=2)) # print(json.dumps(alchemy_language.category(url=url), indent=2)) # print(json.dumps(alchemy_language.typed_relations(url=url), indent=2)) # print(json.dumps(alchemy_language.relations(url=url), indent=2)) # print(json.dumps(alchemy_language.language(url=url), indent=2)) # print(json.dumps(alchemy_language.text(url=url), indent=2)) # print(json.dumps(alchemy_language.raw_text(url=url), indent=2)) # print(json.dumps(alchemy_language.title(url=url), indent=2)) # print(json.dumps(alchemy_language.feeds(url=url), indent=2)) # print(json.dumps(alchemy_language.microformats(url='http://microformats.org/wiki/hcard-examples'), indent=2)) # print(json.dumps(alchemy_language.publication_date(url=url), indent=2)) # print(json.dumps(alchemy_language.taxonomy(url=url), indent=2)) combined_operations = ['page-image', 'entity', 'keyword', 'title', 'author', 'taxonomy', 'concept', 'doc-emotion'] print(json.dumps(alchemy_language.combined(url=url, extract=combined_operations), indent=2))

63.321429

114

0.755781

246

1,773

5.329268

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65.666667

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0

null

1

0

null

0

1

0

4

fe4cb3b9c7cad912d15766637cd5865a691507c9

657

py

Python

tests/test_provider.py

ksu-is/spotify-downloader

1a08703b8beff98540d6a7052d8393fe2c6fa551

[ "MIT" ]

6

2021-05-27T08:25:48.000Z

2022-02-08T21:37:24.000Z

tests/test_provider.py

ksu-is/spotify-downloader

1a08703b8beff98540d6a7052d8393fe2c6fa551

[ "MIT" ]

null

tests/test_provider.py

ksu-is/spotify-downloader

1a08703b8beff98540d6a7052d8393fe2c6fa551

[ "MIT" ]

1

2021-03-16T11:40:37.000Z

from spotdl.search.provider import _parse_duration def test_parse_duration(): """ Test the duration parsing """ assert _parse_duration("3:16") == float(196.0) # 3 min song assert _parse_duration("20") == float(20.0) # 20 second song assert _parse_duration("25:59") == float(1559.0) # 26 min result assert _parse_duration("25:59:59") == float(93599.0) # 26 hour result assert _parse_duration("likes") == float(0.0) # bad values assert _parse_duration("views") == float(0.0) assert _parse_duration([1, 2, 3]) == float(0.0) assert _parse_duration({"json": "data"}) == float(0.0)

43.8

75

0.625571

92

657

4.25

0.391304

0.332481

0.388747

0.117647

0.250639

0.132992

0

0.1

0.223744

657

15

76

43.8

0.666667

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null

1

0

null

0

1

0

1

0

4

fe62f967664bafd322cfa82e9b1ae148d3a1f48a

254

py

Python

output/models/nist_data/atomic/duration/schema_instance/nistschema_sv_iv_atomic_duration_pattern_2_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

1

2021-08-14T17:59:21.000Z

output/models/nist_data/atomic/duration/schema_instance/nistschema_sv_iv_atomic_duration_pattern_2_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

4

2020-02-12T21:30:44.000Z

2020-04-15T20:06:46.000Z

output/models/nist_data/atomic/duration/schema_instance/nistschema_sv_iv_atomic_duration_pattern_2_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

null

from output.models.nist_data.atomic.duration.schema_instance.nistschema_sv_iv_atomic_duration_pattern_2_xsd.nistschema_sv_iv_atomic_duration_pattern_2 import NistschemaSvIvAtomicDurationPattern2 __all__ = [ "NistschemaSvIvAtomicDurationPattern2", ]

42.333333

194

0.893701

28

254

7.428571

0.642857

0.201923

0.134615

0.192308

0.346154

0

0.016667

0.055118

254

5

195

50.8

0.85

0

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0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

1

0

null

0

4

fe7aae96ddfbe426af0215f6832659a1f80a4755

208

py

Python

codeChef/practice/easy/decstr.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

25

2015-01-21T16:39:18.000Z

2021-05-24T07:01:24.000Z

codeChef/practice/easy/decstr.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

2

2020-09-30T19:39:36.000Z

2020-10-01T17:15:16.000Z

codeChef/practice/easy/decstr.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

15

2015-01-21T16:39:27.000Z

2020-10-01T17:00:22.000Z

for _ in xrange(int(raw_input())): n = int(raw_input()) r = map(chr, (range(97, 123) * (n / 25))) if n % 25 > 0: r += map(chr, range(97, 98 + n % 25)) r.reverse() print "".join(r)

26

45

0.480769

35

208

2.771429

0.571429

0.092784

0.226804

0.247423

0.28866

0

0.109589

0.298077

208

7

46

29.714286

0.554795

0

null

0

null

0.142857

0

null

0

1

0

1

0

null

0

1

0

4

fe8140c7a7ae5b1e761a51bf9bf84aac396bea70

79

py

Python

sklearnModel.py

panthename/python

03b56bb9d9eb477127cd7596bde965ab11af8bdf

[ "Apache-2.0" ]

null

sklearnModel.py

panthename/python

03b56bb9d9eb477127cd7596bde965ab11af8bdf

[ "Apache-2.0" ]

null

sklearnModel.py

panthename/python

03b56bb9d9eb477127cd7596bde965ab11af8bdf

[ "Apache-2.0" ]

null

from preprogress import get_dataset_XY trainX,trainY,testX,testY,validX,validY

26.333333

39

0.873418

12

79

5.583333

1

0

0.063291

79

3

39

26.333333

0.905405

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fe864c535a838ee4e5c7d263c19d872b98b33e85

94

py

Python

deduplipy/active_learning/__init__.py

koaning/deduplipy

bf6392af5d846c60083f9ac1d120a25281d13ceb

[ "MIT" ]

51

2021-05-07T10:09:33.000Z

2022-03-17T08:09:04.000Z

deduplipy/active_learning/__init__.py

koaning/deduplipy

bf6392af5d846c60083f9ac1d120a25281d13ceb

[ "MIT" ]

7

2021-10-14T10:48:36.000Z

2022-02-28T19:28:46.000Z

deduplipy/active_learning/__init__.py

koaning/deduplipy

bf6392af5d846c60083f9ac1d120a25281d13ceb

[ "MIT" ]

7

2021-05-07T10:08:53.000Z

2022-02-08T23:12:06.000Z

__all__ = ['ActiveStringMatchLearner'] from .active_learning import ActiveStringMatchLearner

23.5

53

0.851064

7

94

10.714286

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0

0.085106

94

3

54

31.333333

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0

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0

1

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0

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1

null

0

1

0

null

0

1

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4

fe8e74d65b47e2850573a19f573962754e17ed04

1,888

py

Python

fuser/migrations/0013_auto_20210531_1129.py

Mustazur1234/Movement-Pass-Clone

c1d9805bdb3e0fe881b9631c594cacfe4009bd94

[ "MIT" ]

29

2021-06-01T20:38:00.000Z

2021-09-14T05:02:07.000Z

fuser/migrations/0013_auto_20210531_1129.py

Mustazur1234/Movement-Pass-Clone

c1d9805bdb3e0fe881b9631c594cacfe4009bd94

[ "MIT" ]

1

2021-06-20T13:50:12.000Z

2021-06-20T14:43:08.000Z

fuser/migrations/0013_auto_20210531_1129.py

Mustazur1234/Movement-Pass-Clone

c1d9805bdb3e0fe881b9631c594cacfe4009bd94

[ "MIT" ]

25

2021-06-03T13:29:47.000Z

2021-08-31T16:04:43.000Z

# Generated by Django 3.1.5 on 2021-05-31 05:29 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('fuser', '0012_auto_20210531_1114'), ] operations = [ migrations.RemoveField( model_name='movementpassmodel', name='district_name', ), migrations.RemoveField( model_name='movementpassmodel', name='movement_reason', ), migrations.RemoveField( model_name='movementpassmodel', name='movement_type', ), migrations.RemoveField( model_name='movementpassmodel', name='time_duration', ), migrations.RemoveField( model_name='movementpassmodel', name='user', ), migrations.RemoveField( model_name='subdistrict', name='district', ), migrations.AlterModelOptions( name='movementreason', options={'verbose_name_plural': 'Movement Reason'}, ), migrations.AlterModelOptions( name='movetype', options={'verbose_name_plural': 'Movement Type'}, ), migrations.AlterModelOptions( name='timespend', options={'verbose_name_plural': 'Time Spending'}, ), migrations.RemoveField( model_name='movementpass', name='car_number', ), migrations.RemoveField( model_name='movementpass', name='take_car', ), migrations.DeleteModel( name='Movement_type', ), migrations.DeleteModel( name='MovementPassModel', ), migrations.DeleteModel( name='Subdistrict', ), migrations.DeleteModel( name='TakeCar', ), ]

26.971429

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0

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null

0

1

0

1

0

null

0

1

0

4

fe91b684a0ddd2fe7627a892c62bedc730302f0c

224

py

Python

Mundo 1/Aula 8/EX020-Sorteando a Ordem da Lista.py

mandamg/Exercicios-de-Python-do-Curso-em-Video

3f818c11c3c10213bebc1dfb6a740adee468ea3a

[ "MIT" ]

null

Mundo 1/Aula 8/EX020-Sorteando a Ordem da Lista.py

mandamg/Exercicios-de-Python-do-Curso-em-Video

3f818c11c3c10213bebc1dfb6a740adee468ea3a

[ "MIT" ]

null

Mundo 1/Aula 8/EX020-Sorteando a Ordem da Lista.py

mandamg/Exercicios-de-Python-do-Curso-em-Video

3f818c11c3c10213bebc1dfb6a740adee468ea3a

[ "MIT" ]

null

import random n1= input('nome do aluno') n2 = input('nome do aluno') n3 = input('nome do aluno') n4 = input('nome do aluno') list = [n1, n2, n3, n4] random.shuffle(list) print('A ordem da lista de alunos será: ') print(list)

24.888889

42

0.678571

40

224

3.8

0.5

0.236842

0.289474

0.421053

0

0.042553

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9

43

24.888889

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0.111111

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0.222222

0

null

1

0

1

0

null

0

4

fe91dba0fd04c86203e8b395785c7dbecd34ae6f

238

py

Python

backend/DjangoRestAuth/serializers.py

wutiancai/electron-vue-admin

81528ea4a1a4dddf9fd6af28a104b6a1a0151169

[ "MIT" ]

2

2020-10-19T11:13:45.000Z

2021-08-23T12:28:13.000Z

backend/DjangoRestAuth/serializers.py

wutiancai/electron-vue-admin

81528ea4a1a4dddf9fd6af28a104b6a1a0151169

[ "MIT" ]

null

backend/DjangoRestAuth/serializers.py

wutiancai/electron-vue-admin

81528ea4a1a4dddf9fd6af28a104b6a1a0151169

[ "MIT" ]

null

from rest_framework import serializers from DjangoRestAuth.models import Mods # output serializer class for 'Mods' model class ModSerializer(serializers.ModelSerializer): class Meta: model = Mods fields = '__all__'

23.8

49

0.743697

26

238

6.615385

0.692308

0

0.201681

238

9

50

26.444444

0.905263

0.172269

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0.035897

0

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0.333333

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0.666667

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0

null

0

1

0

null

0

1

0

1

0

4

22aaec7453febbb4ad32a6ccdad14f437d830504

144

py

Python

build/scripts/overnight/python/test.py

brezillon/opensplice

725ae9d949c83fce1746bd7d8a154b9d0a81fe3e

[ "Apache-2.0" ]

133

2017-11-09T02:10:00.000Z

2022-03-29T09:45:10.000Z

build/scripts/overnight/python/test.py

brezillon/opensplice

725ae9d949c83fce1746bd7d8a154b9d0a81fe3e

[ "Apache-2.0" ]

131

2017-11-07T14:48:43.000Z

2022-03-13T15:30:47.000Z

build/scripts/overnight/python/test.py

brezillon/opensplice

725ae9d949c83fce1746bd7d8a154b9d0a81fe3e

[ "Apache-2.0" ]

94

2017-11-09T02:26:19.000Z

2022-02-24T06:38:25.000Z

#!/usr/bin/python import os print "Content-Type: text/plain\n\n" for key in os.environ.keys(): print "%30s %s \n" % (key,os.environ[key])

18

46

0.645833

26

144

3.576923

0.692308

0.193548

0

0.016393

0.152778

144

7

47

20.571429

0.745902

0.111111

0

0.299213

0

null

0

0.25

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

22b624ac639ed53ab8b4f0b6f2ab172646601c88

112

py

Python

plugins/Example/Example.py

giruenf/GRIPy-3

ea0f5175bbdd966ca2df956f4667a806d035e532

[ "Apache-2.0" ]

null

plugins/Example/Example.py

giruenf/GRIPy-3

ea0f5175bbdd966ca2df956f4667a806d035e532

[ "Apache-2.0" ]

null

plugins/Example/Example.py

giruenf/GRIPy-3

ea0f5175bbdd966ca2df956f4667a806d035e532

[ "Apache-2.0" ]

null

from plugins import DefaultPlugin class ExamplePlugin(DefaultPlugin): def run(self): print("oi")

14

35

0.696429

12

112

6.5

0.916667

0

0.214286

112

7

36

16

0.886364

0

0.017857

0

1

0.25

false

0

0.25

0

0.75

0.25

1

0

null

0

1

0

null

0

1

0

1

0

4

22b83757751349678f27b1483d5e824510cb202c

84

py

Python

Code/Python/__init__.py

MatuMikey/Project

873e9b7cd1c1d4fe7c6fd922caf11046539debe7

[ "MIT" ]

null

Code/Python/__init__.py

MatuMikey/Project

873e9b7cd1c1d4fe7c6fd922caf11046539debe7

[ "MIT" ]

null

Code/Python/__init__.py

MatuMikey/Project

873e9b7cd1c1d4fe7c6fd922caf11046539debe7

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sun Sep 16 15:58:22 2018 @author: user """

10.5

35

0.559524

14

84

3.357143

1

0

0.19697

0.214286

84

7

36

12

0.515152

0.869048

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

22caa254de386f225bed68d4ce21b54104443cc2

41

py

Python

src/models/model.py

frenziek/pga_scraper

7fb018d32a186eb4267663af276058c5831c7d67

[ "MIT" ]

null

src/models/model.py

frenziek/pga_scraper

7fb018d32a186eb4267663af276058c5831c7d67

[ "MIT" ]

null

src/models/model.py

frenziek/pga_scraper

7fb018d32a186eb4267663af276058c5831c7d67

[ "MIT" ]

null

from pony.orm import * db = Database()

8.2

22

0.658537

6

41

4.5

1

0

0.219512

41

4

23

10.25

0.84375

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

22f8bf34e2ff18b8b5d1ef853a15d08329c9a692

602

py

Python

fbm/__init__.py

OSliusarenko/fbm

049b56b8a15cd661d9c72048b14ba27c1bce0fb0

[ "MIT" ]

null

fbm/__init__.py

OSliusarenko/fbm

049b56b8a15cd661d9c72048b14ba27c1bce0fb0

[ "MIT" ]

null

fbm/__init__.py

OSliusarenko/fbm

049b56b8a15cd661d9c72048b14ba27c1bce0fb0

[ "MIT" ]

null

# flake8: noqa from .__version__ import __version__ from .__version__ import __description__ from .__version__ import __url__ from .__version__ import __title__ from .__version__ import __author__ from .__version__ import __author_email__ from .__version__ import __license__ from .__version__ import __copyright__ from .__version__ import __docs_copyright__ from .fbm import FBM from .fbm import fbm from .fbm import fgn from .fbm import times from .mbm import MBM from .mbm import mbm from .mbm import mgn __all__ = [ "FBM", "fbm", "fgn", "times", "MBM", "mbm", "mgn", ]

21.5

43

0.752492

76

602

4.934211

0.25

0.264

0.408

0.122667

0.24

0

0.00202

0.177741

602

27

44

22.296296

0.755556

0.019934

0

0.039116

0

1

0

false

0

0.64

0

0.64

0

null

1

0

null

0

1

0

1

0

4

22f99cacb1a7eef23dfc443ae45e2928f106acd1

2,387

py

Python

src/hdx/freshness/testdata/dbtestdataset.py

mcarans/hdx-data-freshness

b378e68ba8f1f66aaea49fefb2b0cc209df45080

[ "MIT" ]

null

src/hdx/freshness/testdata/dbtestdataset.py

mcarans/hdx-data-freshness

b378e68ba8f1f66aaea49fefb2b0cc209df45080

[ "MIT" ]

null

src/hdx/freshness/testdata/dbtestdataset.py

mcarans/hdx-data-freshness

b378e68ba8f1f66aaea49fefb2b0cc209df45080

[ "MIT" ]

null

"""SQLAlchemy class representing DBTestDataset row. Holds test data for datasets with the aim of mimicking what would come from HDX. """ from hdx.database import Base from sqlalchemy import Boolean, Column, String class DBTestDataset(Base): """ id = Column(String, primary_key=True)\ organization_id = Column(String, nullable=False)\ organization_name = Column(String, nullable=False)\ organization_title = Column(String, nullable=False)\ dataset_name = Column(String, nullable=False)\ dataset_title = Column(String, nullable=False)\ dataset_private = Column(Boolean, nullable=False)\ dataset_maintainer = Column(String)\ dataset_date = Column(String)\ update_frequency = Column(String)\ review_date = Column(String)\ last_modified = Column(String, nullable=False)\ updated_by_script = Column(String)\ metadata_modified = Column(String, nullable=False)\ is_requestdata_type = Column(Boolean)\ dataset_location = Column(String) """ id = Column(String, primary_key=True) organization_id = Column(String, nullable=False) organization_name = Column(String, nullable=False) organization_title = Column(String, nullable=False) dataset_name = Column(String, nullable=False) dataset_title = Column(String, nullable=False) dataset_private = Column(Boolean, nullable=False) dataset_maintainer = Column(String) dataset_date = Column(String) update_frequency = Column(String) review_date = Column(String) last_modified = Column(String, nullable=False) updated_by_script = Column(String) metadata_modified = Column(String, nullable=False) is_requestdata_type = Column(Boolean) dataset_location = Column(String) def __repr__(self) -> str: """String representation of DBTestDataset row Returns: str: String representation of DBTestDataset row """ output = f"<Dataset(id={self.id}, name={self.dataset_name}" output += f"organisation name={self.organization_name},\n" output += f"dataset date={self.dataset_date}, update frequency={self.update_frequency}, " output += f"review_date={str(self.review_date)}, last_modified={str(self.last_modified)}," output += f"updated_by_script={str(self.updated_by_script)}, metadata_modified={str(self.metadata_modified)})>" return output

41.877193

119

0.717218

280

2,387

5.921429

0.225

0.209891

0.168878

0.211098

0.683957

0.634499

0

0.175953

2,387

56

120

42.625

0.842908

0.396313

0

0.252391

0.228109

0

1

0.038462

false

0

0.076923

0

0.807692

0

null

1

0

1

0

1

0

null

0

1

0

4

22fa2e6ae60f47845b185b050fadbb54e8f0d243

83

py

Python

src/masonite/demo_package/__init__.py

girardinsamuel/masonite-demo-package

95c47c3cfed70862fd12023ef41240ac7a508ccd

[ "MIT" ]

null

src/masonite/demo_package/__init__.py

girardinsamuel/masonite-demo-package

95c47c3cfed70862fd12023ef41240ac7a508ccd

[ "MIT" ]

3

2021-10-30T13:58:32.000Z

2022-03-07T11:15:42.000Z

src/masonite/demo_package/__init__.py

girardinsamuel/masonite-demo-package

95c47c3cfed70862fd12023ef41240ac7a508ccd

[ "MIT" ]

null

# flake8: noqa F401 from .providers.DemoPackageProvider import DemoPackageProvider

27.666667

62

0.855422

8

83

8.875

0.875

0

0.053333

0.096386

83

2

63

41.5

0.893333

0.204819

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fe1e8be6a0c24aa2d0e31229c5f58a8978c6b832

183

py

Python

0x03-python-data_structures/dev/9-main.py

johncoleman83/bootcampschool-higher_level_programming

a83c3b7092cfe893c87e495f8d8eec9228c9b808

[ "MIT" ]

null

0x03-python-data_structures/dev/9-main.py

johncoleman83/bootcampschool-higher_level_programming

a83c3b7092cfe893c87e495f8d8eec9228c9b808

[ "MIT" ]

null

0x03-python-data_structures/dev/9-main.py

johncoleman83/bootcampschool-higher_level_programming

a83c3b7092cfe893c87e495f8d8eec9228c9b808

[ "MIT" ]

1

2020-09-25T17:54:36.000Z

#!/usr/bin/python3 max_integer = __import__('9-max_integer').max_integer my_list = [1, 90, 2, 13, 34, 5, -13, 3] max_value = max_integer(my_list) print("Max: {}".format(max_value))

22.875

53

0.688525

32

183

3.5625

0.59375

0.350877

0.210526

0.280702

0

0.08642

0.114754

183

7

54

26.142857

0.617284

0.092896

0

0.121951

0

1

0

false

0

0.25

0

0.25

0

null

1

0

1

0

null

0

4

a3cc7e956754e2324dc114917f323b305f721dd4

52

py

Python

onepiece/__main__.py

wangyung/TencentComicBook

570dfac19fc04b328209bc8e6821748559522e52

[ "MIT" ]

1

2019-04-09T13:09:15.000Z

onepiece/__main__.py

wangyung/TencentComicBook

570dfac19fc04b328209bc8e6821748559522e52

[ "MIT" ]

null

onepiece/__main__.py

wangyung/TencentComicBook

570dfac19fc04b328209bc8e6821748559522e52

[ "MIT" ]

null

#!/usr/bin/env python from .cli import main main()

10.4

21

0.692308

9

52

4

0.888889

0

0.153846

52

4

22

13

0.818182

0.384615

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a3dd1a8dd04a88e1af49e3e7a65561c36049f2f2

91

py

Python

django_gotolong/dematsum/apps.py

ParikhKadam/gotolong

839beb8aa37055a2078eaa289b8ae05b62e8905e

[ "BSD-2-Clause", "BSD-3-Clause" ]

15

2019-12-06T16:19:45.000Z

2021-08-20T13:22:22.000Z

django_gotolong/dematsum/apps.py

ParikhKadam/gotolong

839beb8aa37055a2078eaa289b8ae05b62e8905e

[ "BSD-2-Clause", "BSD-3-Clause" ]

14

2020-12-08T10:45:05.000Z

2021-09-21T17:23:45.000Z

django_gotolong/dematsum/apps.py

ParikhKadam/gotolong

839beb8aa37055a2078eaa289b8ae05b62e8905e

[ "BSD-2-Clause", "BSD-3-Clause" ]

9

2020-01-01T03:04:29.000Z

2021-04-18T08:42:30.000Z

from django.apps import AppConfig class DematsumConfig(AppConfig): name = 'dematsum'

15.166667

33

0.758242

10

91

6.9

0.9

0

0.164835

91

5

34

18.2

0.907895

0

0.087912

0

1

0

false

0

0.333333

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

a3e1bf9b98737c6504ffdfdcb8fd29731b0ce414

12,493

py

Python

sdk/python/pulumi_sysdig/user.py

Sysdig-Hackathon-Picasso/pulumi-sysdig

e25b655f6ad4a5f52678bc445be2d59f28f5bb4b

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

null

sdk/python/pulumi_sysdig/user.py

Sysdig-Hackathon-Picasso/pulumi-sysdig

e25b655f6ad4a5f52678bc445be2d59f28f5bb4b

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

null

sdk/python/pulumi_sysdig/user.py

Sysdig-Hackathon-Picasso/pulumi-sysdig

e25b655f6ad4a5f52678bc445be2d59f28f5bb4b

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

1

2021-12-01T08:57:09.000Z

# 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__ = ['UserArgs', 'User'] @pulumi.input_type class UserArgs: def __init__(__self__, *, email: pulumi.Input[str], first_name: Optional[pulumi.Input[str]] = None, last_name: Optional[pulumi.Input[str]] = None, system_role: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a User resource. :param pulumi.Input[str] email: The email for the user to invite. :param pulumi.Input[str] first_name: The name of the user. :param pulumi.Input[str] last_name: The last name of the user. :param pulumi.Input[str] system_role: The privileges for the user. It can be either "ROLE_USER" or "ROLE_CUSTOMER". If set to "ROLE_CUSTOMER", the user will be known as an admin. """ pulumi.set(__self__, "email", email) if first_name is not None: pulumi.set(__self__, "first_name", first_name) if last_name is not None: pulumi.set(__self__, "last_name", last_name) if system_role is not None: pulumi.set(__self__, "system_role", system_role) @property @pulumi.getter def email(self) -> pulumi.Input[str]: """ The email for the user to invite. """ return pulumi.get(self, "email") @email.setter def email(self, value: pulumi.Input[str]): pulumi.set(self, "email", value) @property @pulumi.getter(name="firstName") def first_name(self) -> Optional[pulumi.Input[str]]: """ The name of the user. """ return pulumi.get(self, "first_name") @first_name.setter def first_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "first_name", value) @property @pulumi.getter(name="lastName") def last_name(self) -> Optional[pulumi.Input[str]]: """ The last name of the user. """ return pulumi.get(self, "last_name") @last_name.setter def last_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "last_name", value) @property @pulumi.getter(name="systemRole") def system_role(self) -> Optional[pulumi.Input[str]]: """ The privileges for the user. It can be either "ROLE_USER" or "ROLE_CUSTOMER". If set to "ROLE_CUSTOMER", the user will be known as an admin. """ return pulumi.get(self, "system_role") @system_role.setter def system_role(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "system_role", value) @pulumi.input_type class _UserState: def __init__(__self__, *, email: Optional[pulumi.Input[str]] = None, first_name: Optional[pulumi.Input[str]] = None, last_name: Optional[pulumi.Input[str]] = None, system_role: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[int]] = None): """ Input properties used for looking up and filtering User resources. :param pulumi.Input[str] email: The email for the user to invite. :param pulumi.Input[str] first_name: The name of the user. :param pulumi.Input[str] last_name: The last name of the user. :param pulumi.Input[str] system_role: The privileges for the user. It can be either "ROLE_USER" or "ROLE_CUSTOMER". If set to "ROLE_CUSTOMER", the user will be known as an admin. """ if email is not None: pulumi.set(__self__, "email", email) if first_name is not None: pulumi.set(__self__, "first_name", first_name) if last_name is not None: pulumi.set(__self__, "last_name", last_name) if system_role is not None: pulumi.set(__self__, "system_role", system_role) if version is not None: pulumi.set(__self__, "version", version) @property @pulumi.getter def email(self) -> Optional[pulumi.Input[str]]: """ The email for the user to invite. """ return pulumi.get(self, "email") @email.setter def email(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "email", value) @property @pulumi.getter(name="firstName") def first_name(self) -> Optional[pulumi.Input[str]]: """ The name of the user. """ return pulumi.get(self, "first_name") @first_name.setter def first_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "first_name", value) @property @pulumi.getter(name="lastName") def last_name(self) -> Optional[pulumi.Input[str]]: """ The last name of the user. """ return pulumi.get(self, "last_name") @last_name.setter def last_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "last_name", value) @property @pulumi.getter(name="systemRole") def system_role(self) -> Optional[pulumi.Input[str]]: """ The privileges for the user. It can be either "ROLE_USER" or "ROLE_CUSTOMER". If set to "ROLE_CUSTOMER", the user will be known as an admin. """ return pulumi.get(self, "system_role") @system_role.setter def system_role(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "system_role", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "version", value) class User(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, email: Optional[pulumi.Input[str]] = None, first_name: Optional[pulumi.Input[str]] = None, last_name: Optional[pulumi.Input[str]] = None, system_role: Optional[pulumi.Input[str]] = None, __props__=None): """ ## Import Sysdig users can be imported using the ID, e.g. ```sh $ pulumi import sysdig:index/user:User example 12345 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] email: The email for the user to invite. :param pulumi.Input[str] first_name: The name of the user. :param pulumi.Input[str] last_name: The last name of the user. :param pulumi.Input[str] system_role: The privileges for the user. It can be either "ROLE_USER" or "ROLE_CUSTOMER". If set to "ROLE_CUSTOMER", the user will be known as an admin. """ ... @overload def __init__(__self__, resource_name: str, args: UserArgs, opts: Optional[pulumi.ResourceOptions] = None): """ ## Import Sysdig users can be imported using the ID, e.g. ```sh $ pulumi import sysdig:index/user:User example 12345 ``` :param str resource_name: The name of the resource. :param UserArgs 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(UserArgs, 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, email: Optional[pulumi.Input[str]] = None, first_name: Optional[pulumi.Input[str]] = None, last_name: Optional[pulumi.Input[str]] = None, system_role: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = UserArgs.__new__(UserArgs) if email is None and not opts.urn: raise TypeError("Missing required property 'email'") __props__.__dict__["email"] = email __props__.__dict__["first_name"] = first_name __props__.__dict__["last_name"] = last_name __props__.__dict__["system_role"] = system_role __props__.__dict__["version"] = None super(User, __self__).__init__( 'sysdig:index/user:User', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, email: Optional[pulumi.Input[str]] = None, first_name: Optional[pulumi.Input[str]] = None, last_name: Optional[pulumi.Input[str]] = None, system_role: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[int]] = None) -> 'User': """ Get an existing User resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] email: The email for the user to invite. :param pulumi.Input[str] first_name: The name of the user. :param pulumi.Input[str] last_name: The last name of the user. :param pulumi.Input[str] system_role: The privileges for the user. It can be either "ROLE_USER" or "ROLE_CUSTOMER". If set to "ROLE_CUSTOMER", the user will be known as an admin. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _UserState.__new__(_UserState) __props__.__dict__["email"] = email __props__.__dict__["first_name"] = first_name __props__.__dict__["last_name"] = last_name __props__.__dict__["system_role"] = system_role __props__.__dict__["version"] = version return User(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def email(self) -> pulumi.Output[str]: """ The email for the user to invite. """ return pulumi.get(self, "email") @property @pulumi.getter(name="firstName") def first_name(self) -> pulumi.Output[Optional[str]]: """ The name of the user. """ return pulumi.get(self, "first_name") @property @pulumi.getter(name="lastName") def last_name(self) -> pulumi.Output[Optional[str]]: """ The last name of the user. """ return pulumi.get(self, "last_name") @property @pulumi.getter(name="systemRole") def system_role(self) -> pulumi.Output[Optional[str]]: """ The privileges for the user. It can be either "ROLE_USER" or "ROLE_CUSTOMER". If set to "ROLE_CUSTOMER", the user will be known as an admin. """ return pulumi.get(self, "system_role") @property @pulumi.getter def version(self) -> pulumi.Output[int]: return pulumi.get(self, "version")

37.972644

134

0.613544

1,550

12,493

4.703226

0.098065

0.090535

0.103704

0.099588

0.777366

0.752538

0.722771

0.696845

0.689849

0.668587

0

0.001219

0.277756

12,493

328

135

38.088415

0.806716

0.269031

0

0.670157

1

0

0.079126

0.002614

0

1

0.157068

false

0.005236

0.026178

0.010471

0.277487

0

null

0

1

0

1

0

1

0

null

0

4

430b57a36f264593e664e67adabb9a7630af6980

955

py

Python

armulator/armv6/all_registers/vtcr.py

matan1008/armulator

04d24dcec6ab42326018f5e09331e5b4738d6b52

[ "MIT" ]

16

2018-01-22T14:36:49.000Z

2021-12-17T15:39:52.000Z

armulator/armv6/all_registers/vtcr.py

AhmedMounir/armulator

04d24dcec6ab42326018f5e09331e5b4738d6b52

[ "MIT" ]

3

2019-02-19T17:51:47.000Z

2022-03-31T20:45:21.000Z

armulator/armv6/all_registers/vtcr.py

AhmedMounir/armulator

04d24dcec6ab42326018f5e09331e5b4738d6b52

[ "MIT" ]

4

2020-06-18T23:51:03.000Z

2022-02-09T17:43:13.000Z

from armulator.armv6.all_registers.abstract_register import AbstractRegister class VTCR(AbstractRegister): """ Virtualization Translation Control Register """ def __init__(self): super(VTCR, self).__init__() def set_sh0(self, sh0): self.value[18:20] = sh0 def get_sh0(self): return self.value[18:20] def set_orgn0(self, orgn0): self.value[20:22] = orgn0 def get_orgn0(self): return self.value[20:22] def set_irgn0(self, irgn0): self.value[22:24] = irgn0 def get_irgn0(self): return self.value[22:24] def set_sl0(self, sl0): self.value[24:26] = sl0 def get_sl0(self): return self.value[24:26] def set_s(self, flag): self.value[27] = flag def get_s(self): return self.value[27] def set_t0sz(self, t0sz): self.value[28:32] = t0sz def get_t0sz(self): return self.value[28:32]

20.319149

76

0.608377

135

955

4.140741

0.274074

0.193202

0.150268

0.203936

0

0.093391

0.271204

955

46

77

20.76087

0.70977

0.045026

0

1

0.464286

false

0

0.035714

0.214286

0.75

0

null

0

1

0

null

0

1

0

1

0

4

43361f67bff3ccf062302e763a5c85b9a61faf29

46

py

Python

docs/docs/editing_wikidata/wikidata.py

UB-Mannheim/NFDI

a66d3bdbf967ea508f5281dec4595a6005fb8f21

[ "MIT" ]

1

2021-10-01T18:37:17.000Z

docs/docs/editing_wikidata/wikidata.py

UB-Mannheim/NFDI

a66d3bdbf967ea508f5281dec4595a6005fb8f21

[ "MIT" ]

null

docs/docs/editing_wikidata/wikidata.py

UB-Mannheim/NFDI

a66d3bdbf967ea508f5281dec4595a6005fb8f21

[ "MIT" ]

1

2021-09-29T15:51:55.000Z

wduser = "" # username wdpass = "" # password

15.333333

22

0.608696

4

46

7

1

0

0.217391

46

2

23

0.777778

0.369565

0

1

0

false

0.5

0

1

0

null

0

1

0

null

0

1

0

4

433ef699ae18f1435d1d1881581b98d018134dff

2,951

py

Python

ravem/indico_ravem/api.py

ThiefMaster/indico-plugins-cern

0082a66dd21ac093c1a31316d12c338f52ffe2d0

[ "MIT" ]

4

2019-02-12T05:08:56.000Z

2022-03-09T23:43:18.000Z

ravem/indico_ravem/api.py

ThiefMaster/indico-plugins-cern

0082a66dd21ac093c1a31316d12c338f52ffe2d0

[ "MIT" ]

40

2017-11-08T15:08:50.000Z

2022-03-28T15:09:51.000Z

ravem/indico_ravem/api.py

ThiefMaster/indico-plugins-cern

0082a66dd21ac093c1a31316d12c338f52ffe2d0

[ "MIT" ]

15

2017-11-08T12:35:59.000Z

2022-01-13T15:16:42.000Z

# This file is part of the CERN Indico plugins. # Copyright (C) 2014 - 2021 CERN # # The CERN Indico plugins are free software; you can redistribute # them and/or modify them under the terms of the MIT License; see # the LICENSE file for more details. from abc import ABCMeta, abstractmethod from indico_ravem.util import ravem_api_call __all__ = ('BaseAPI', 'ZoomAPI') class BaseAPI(metaclass=ABCMeta): @staticmethod def get_endpoint_status(room_name): """Returns the status of an physical room. This call returns the status of a room equipped with videoconference capable device :param room_name: str -- the name of the physical room """ room_name = room_name.replace('/', '-', 1) return ravem_api_call('rooms/details', method='GET', params={'where': 'room_name', 'value': room_name}) @abstractmethod def get_room_id(self, vc_room_data): """Returns the provider specific room ID.""" pass @abstractmethod def connect_endpoint(self, room_name, vc_room_id): """Connects a physical room to a videoconference room using the RAVEM API. This call will return "OK" as a result immediately if RAVEM can (or has started to) perform the operation. This does not mean the operation has actually succeeded. One should poll for the status of the room afterwards using the `get_endpoint_status` method after some delay to allow the operation to be performed.. :param room_name: str -- the name of the physical room :param vc_room_id: str -- the provider specific id of the videoconference room """ pass @abstractmethod def disconnect_endpoint(self, room_name, vc_room_id): """Disconnects a physical room from a videoconference room using the RAVEM API. This call will return "OK" as a result immediately if RAVEM can (or has started to) perform the operation. This does not mean the operation has actually succeeded. One should poll for the status of the room afterwards using the `get_endpoint_status` method after some delay to allow the operation to be performed. :param room_name: str -- the name of the physical room :param vc_room_id: str -- the provider specific id of the videoconference room """ pass class ZoomAPI(BaseAPI): SERVICE_TYPE = 'zoom' def get_room_id(self, vc_room_data): return str(vc_room_data["zoom_id"]) def connect_endpoint(self, room_name, vc_room_id): return ravem_api_call('%s/connect' % self.SERVICE_TYPE, method='POST', json={'meetingId': vc_room_id, 'roomName': room_name}) def disconnect_endpoint(self, room_name, vc_room_id): return ravem_api_call('%s/disconnect' % self.SERVICE_TYPE, method='POST', json={'roomName': room_name})

37.35443

111

0.675025

410

2,951

4.7

0.285366

0.058121

0.029061

0.041515

0.586404

0.556305

0.52932

0.476388

0

0.004072

0.251101

2,951

78

112

37.833333

0.867873

0.514402

0

0.444444

0

0.095469

0

1

0.259259

false

0.111111

0.074074

0.111111

0.592593

0

null

0

null

0

1

0

1

0

1

0

4

4341be406540f0273797ecec9186c36afda054dc

297

py

Python

pages/locators.py

edwlad/stepik-test-final

c6e46e1ace867b3d9bc8f74802d7f6e4591c2a52

[ "MIT" ]

null

pages/locators.py

edwlad/stepik-test-final

c6e46e1ace867b3d9bc8f74802d7f6e4591c2a52

[ "MIT" ]

null

pages/locators.py

edwlad/stepik-test-final

c6e46e1ace867b3d9bc8f74802d7f6e4591c2a52

[ "MIT" ]

null

from selenium.webdriver.common.by import By class MainPageLocators(): LOGIN_LINK = (By.CSS_SELECTOR, '#login_link') class LoginPageLocators(): LOGIN_FORM = (By.CSS_SELECTOR, '#login_form') REGISTER_FORM = (By.CSS_SELECTOR, '#register_form') class ProductPageLocators(): pass

19.8

55

0.727273

35

297

5.914286

0.485714

0.072464

0.188406

0.173913

0

0.151515

297

14

56

21.214286

0.821429

0

0.121212

0

1

0

false

0.125

0

0.875

0

null

0

1

0

null

0

1

0

1

0

4

4348e354901b31b244568efe5c310e05cd045da6

28

py

Python

esmvalcore/cmor/_fixes/cmip6/__init__.py

Peter9192/ESMValCore

febd96a39480cc837afbf4e1f5b0ef61571af76a

[ "Apache-2.0" ]

26

2019-06-07T07:50:07.000Z

2022-03-22T21:04:01.000Z

esmvalcore/cmor/_fixes/cmip6/__init__.py

Peter9192/ESMValCore

febd96a39480cc837afbf4e1f5b0ef61571af76a

[ "Apache-2.0" ]

1,370

2019-06-06T09:03:07.000Z

2022-03-31T04:37:20.000Z

esmvalcore/cmor/_fixes/cmip6/__init__.py

Peter9192/ESMValCore

febd96a39480cc837afbf4e1f5b0ef61571af76a

[ "Apache-2.0" ]

26

2019-07-03T13:08:48.000Z

2022-03-02T16:08:47.000Z

"""Fixes for CMIP6 data."""

14

27

0.607143

4

28

4.25

1

0

0.041667

0.142857

28

1

28

0.666667

0.75

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

4a29e6c7a4a2b7d4bdaa36b49bb1a5cd3898e0f6

176

py

Python

dssm/__init__.py

luozhouyang/dssm

fedde30b79f96467a22568df083d2bd5d5b21a84

[ "Apache-2.0" ]

18

2019-06-24T02:32:54.000Z

2022-01-12T09:31:55.000Z

dssm/__init__.py

luozhouyang/dssm

fedde30b79f96467a22568df083d2bd5d5b21a84

[ "Apache-2.0" ]

3

2020-11-13T18:37:25.000Z

2022-02-10T00:29:43.000Z

dssm/__init__.py

luozhouyang/dssm

fedde30b79f96467a22568df083d2bd5d5b21a84

[ "Apache-2.0" ]

9

2019-10-31T03:22:32.000Z

2022-03-07T05:49:41.000Z

from easylib.log import TimedRotatingLoggerInitializer name = 'dssm' initializer = TimedRotatingLoggerInitializer(name='dssm', path='/tmp/dssm.log') initializer.initialize()

25.142857

79

0.806818

17

176

8.352941

0.647059

0.478873

0.535211

0

0.079545

176

6

80

29.333333

0.876543

0

0.119318

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

4

4a37e6c8c1e92f5f1cf5864c95af19626231a40c

502

py

Python

tests/test_import.py

rathnadeep/cbapi-python

55375d8796a9d88d00bd16df13d71a2d8d76dd9c

[ "MIT" ]

3

2019-01-23T19:11:33.000Z

2022-02-25T02:06:51.000Z

tests/test_import.py

rathnadeep/cbapi-python

55375d8796a9d88d00bd16df13d71a2d8d76dd9c

[ "MIT" ]

1

2021-03-31T19:51:07.000Z

tests/test_import.py

jjfallete/cbapi-python

8b92584edca5605cd94afa7656fd04c282b875b8

[ "MIT" ]

3

2019-03-12T23:01:28.000Z

2021-07-23T03:57:22.000Z

import unittest from nose.tools import assert_raises from cbapi import CbEnterpriseProtectionAPI, CbEnterpriseResponseAPI from cbapi.errors import CredentialError class TestBasicImport(unittest.TestCase): def setUp(self): pass def test_import(self): pass def test_cbep_credential_error(self): assert_raises(CredentialError, CbEnterpriseProtectionAPI) def test_cber_credential_error(self): assert_raises(CredentialError, CbEnterpriseProtectionAPI)

23.904762

68

0.778884

51

502

7.470588

0.470588

0.094488

0.057743

0.07874

0.372703

0

0.171315

502

20

69

25.1

0.915865

0

0.307692

0

0.230769

1

0.307692

false

0.153846

0.461538

0

0.846154

0

null

0

null

0

1

0

1

0

1

0

4

4a451cc7d23ed1fe9d92ae767884df32c7311fb6

293

py

Python

server/inference_api/__init__.py

TreeinRandomForest/logo-detector

c957032b1fcbce32dfd55a3a21e2ace44ee0ee4b

[ "MIT" ]

1

2021-03-25T17:09:40.000Z

server/inference_api/__init__.py

TreeinRandomForest/logo-detector

c957032b1fcbce32dfd55a3a21e2ace44ee0ee4b

[ "MIT" ]

6

2021-03-10T09:57:47.000Z

2022-03-12T00:21:00.000Z

server/inference_api/__init__.py

TreeinRandomForest/logo-detector

c957032b1fcbce32dfd55a3a21e2ace44ee0ee4b

[ "MIT" ]

1

2020-04-06T14:20:31.000Z

from flask import Flask from inference_api.config import Config def create_app(app_name): inference_api = Flask(app_name) inference_api.config.from_object(Config) from inference_api.v1 import v1 inference_api.register_blueprint(v1, url_prefix='') return inference_api

20.928571

55

0.774744

42

293

5.119048

0.404762

0.334884

0.148837

0.176744

0

0.012195

0.16041

293

13

56

22.538462

0.861789

0

1

0.125

false

0

0.375

0

0.625

0.125

0

null

1

0

1

0

null

0

1

0

1

0

4

4a6423a10f7b208bff075f5fd2eb5d9e056e544d

289

py

Python

ex5-6.py

yiyidhuang/PythonCrashCrouse2nd

3512f9ab8fcf32c6145604a37e2a62feddf174d1

[ "MIT" ]

null

ex5-6.py

yiyidhuang/PythonCrashCrouse2nd

3512f9ab8fcf32c6145604a37e2a62feddf174d1

[ "MIT" ]

null

ex5-6.py

yiyidhuang/PythonCrashCrouse2nd

3512f9ab8fcf32c6145604a37e2a62feddf174d1

[ "MIT" ]

null

age = 99 if age < 2: print("This man is a baby.") elif age < 4: print("This man is child.") elif age < 13: print("This man is children.") elif age < 20: print("This man is teenagers.") elif age < 65: print("This man is adult.") else: print("This man is old man.")

19.266667

35

0.595156

50

289

3.44

0.42

0.313953

0.418605

0.488372

0

0.046729

0.259516

289

14

36

20.642857

0.757009

0

0.408305

0

1

0

false

0

0.461538

0

null

1

0

null

0

1

0

4

4a775e3e7ce963800717e4cf8c375629e61f6aac

13,353

py

Python

test/regression/daily/chaincodeTests/envsetup/testYourChaincode.py

trust-tech/fabric

1cdbfc04fc9d65b58b13718b78585dae48c1b69c

[ "Apache-2.0" ]

1

2021-04-29T09:03:01.000Z

test/regression/daily/chaincodeTests/envsetup/testYourChaincode.py

trust-tech/fabric

1cdbfc04fc9d65b58b13718b78585dae48c1b69c

[ "Apache-2.0" ]

null

test/regression/daily/chaincodeTests/envsetup/testYourChaincode.py

trust-tech/fabric

1cdbfc04fc9d65b58b13718b78585dae48c1b69c

[ "Apache-2.0" ]

null

#!/usr/bin/python2.7 import subprocess import unittest from subprocess import check_output class ChaincodeAPI(unittest.TestCase): @classmethod def setUpClass(cls): cls.CHANNEL_NAME = "channel" cls.CHANNELS = '2' cls.CHAINCODES = '1' cls.ENDORSERS = '4' check_output(["./network_setup.sh up {0} {1} {2} {3}".format(cls.CHANNEL_NAME, cls.CHANNELS, cls.CHAINCODES, cls.ENDORSERS)], shell=True) @classmethod def tearDownClass(cls): check_output(["./network_setup.sh down"], shell=True) ################################################################################# def runIt(self, command, scriptName): cmd = "/opt/gopath/src/github.com/hyperledger/fabric/test/regression/daily/chaincodeTests/%s %s %s %s %s %s"% (scriptName, self.CHANNEL_NAME, self.CHANNELS, self.CHAINCODES, self.ENDORSERS, command) output = check_output(["docker exec cli {0}".format(cmd)], shell=True) return output #####Begin tests for different chaincode samples that exist in fabricExamples folder ################### def test_AFAB3843_Create_Join_Channel(self): ''' Create_Join_Channel must be run as the first test. Each chaincode test is dependent on this test So make sure when adding new tests this is picked up as the first one by py.test ''' output = self.runIt("create", "fabricFeatureChaincodes/create_join_channel.sh") self.assertIn('Channel "channel0" is created successfully', output) self.assertIn('Channel "channel1" is created successfully', output) output = self.runIt("join", "fabricFeatureChaincodes/create_join_channel.sh") self.assertIn('PEER0 joined on the channel "channel0" successfully', output) self.assertIn('PEER0 joined on the channel "channel1" successfully', output) self.assertIn('PEER1 joined on the channel "channel0" successfully', output) self.assertIn('PEER1 joined on the channel "channel1" successfully', output) self.assertIn('PEER2 joined on the channel "channel0" successfully', output) self.assertIn('PEER2 joined on the channel "channel1" successfully', output) self.assertIn('PEER3 joined on the channel "channel0" successfully', output) self.assertIn('PEER3 joined on the channel "channel1" successfully', output) #@unittest.skip("skipping") def test_FAB3794_example02_invoke_query_inaloop_onallpeers(self): ''' This tests example02 chaincode where transfer values from assets "a" and "b" via Invoke and then verify values by Querying on Ledger. ''' output = self.runIt("install", "fabricFeatureChaincodes/e2e_test_example02.sh") self.assertIn("Chaincode 'myccex020' is installed on PEER0 successfully", output) self.assertIn("Chaincode 'myccex020' is installed on PEER1 successfully", output) self.assertIn("Chaincode 'myccex020' is installed on PEER2 successfully", output) self.assertIn("Chaincode 'myccex020' is installed on PEER3 successfully", output) output = self.runIt("instantiate", "fabricFeatureChaincodes/e2e_test_example02.sh") self.assertIn("Chaincode 'myccex020' Instantiation on PEER2 on 'channel0' is successful", output) self.assertIn("Chaincode 'myccex020' Instantiation on PEER2 on 'channel1' is successful", output) output = self.runIt("invokeQuery", "fabricFeatureChaincodes/e2e_test_example02.sh") self.assertIn('Query on PEER0 on channel0/myccex020 is successful', output) countPeer0Ch0 = output.count('Query on PEER0 on channel0/myccex020 is successful') self.assertEquals(countPeer0Ch0, 2) self.assertIn('Query on PEER1 on channel0/myccex020 is successful', output) countPeer1Ch0 = output.count('Query on PEER1 on channel0/myccex020 is successful') self.assertEquals(countPeer1Ch0, 2) self.assertIn('Query on PEER2 on channel0/myccex020 is successful', output) countPeer2Ch0 = output.count('Query on PEER2 on channel0/myccex020 is successful') self.assertEquals(countPeer2Ch0, 2) self.assertIn('Query on PEER3 on channel0/myccex020 is successful', output) countPeer3Ch0 = output.count('Query on PEER3 on channel0/myccex020 is successful') self.assertEquals(countPeer3Ch0, 2) self.assertIn('Query on PEER0 on channel1/myccex020 is successful', output) countPeer0Ch1 = output.count('Query on PEER0 on channel1/myccex020 is successful') self.assertEquals(countPeer0Ch1, 2) self.assertIn('Query on PEER1 on channel1/myccex020 is successful', output) countPeer1Ch1 = output.count('Query on PEER1 on channel1/myccex020 is successful') self.assertEquals(countPeer1Ch1, 2) self.assertIn('Query on PEER2 on channel1/myccex020 is successful', output) countPeer2Ch1 = output.count('Query on PEER2 on channel1/myccex020 is successful') self.assertEquals(countPeer2Ch1, 2) self.assertIn('Query on PEER3 on channel1/myccex020 is successful', output) countPeer3Ch1 = output.count('Query on PEER3 on channel1/myccex020 is successful') self.assertEquals(countPeer3Ch1, 2) self.assertIn('Invoke transaction on PEER0 on channel0/myccex020 is successful', output) self.assertIn('Invoke transaction on PEER1 on channel0/myccex020 is successful', output) self.assertIn('Invoke transaction on PEER2 on channel0/myccex020 is successful', output) self.assertIn('Invoke transaction on PEER3 on channel0/myccex020 is successful', output) self.assertIn('Invoke transaction on PEER0 on channel1/myccex020 is successful', output) self.assertIn('Invoke transaction on PEER1 on channel1/myccex020 is successful', output) self.assertIn('Invoke transaction on PEER2 on channel1/myccex020 is successful', output) self.assertIn('Invoke transaction on PEER3 on channel1/myccex020 is successful', output) self.assertIn('End-2-End for chaincode example02 completed successfully', output) #@unittest.skip("skipping") def test_FAB3791_example03_negative_test_disallow_write_attempt_in_query(self): ''' Test writing to ledger via query fails as expected ''' output = self.runIt("install", "fabricFeatureChaincodes/e2e_test_example03.sh") self.assertIn("successfully", output) output = self.runIt("instantiate", "fabricFeatureChaincodes/e2e_test_example03.sh") self.assertIn("successfully", output) output = self.runIt("invokeQuery", "fabricFeatureChaincodes/e2e_test_example03.sh") self.assertIn('Query result on PEER0 is INVALID', output) #@unittest.skip("skipping") def test_FAB3796_example04_chaincode_to_chaincode_call_on_occurrence_of_an_event(self): ''' Test chaincode to chaincode calling when an event is generated. ''' output = self.runIt("install", "fabricFeatureChaincodes/e2e_test_example04.sh") self.assertIn("successfully", output) output = self.runIt("instantiate", "fabricFeatureChaincodes/e2e_test_example04.sh") self.assertIn("successfully", output) output = self.runIt("invokeQuery", "fabricFeatureChaincodes/e2e_test_example04.sh") self.assertIn("successfully", output) #@unittest.skip("skipping") def test_FAB3797_example05_chaincode_to_chaincode_call_on_same_and_different_channel(self): ''' Test chaincode to chaincode calling, when second chaincode exists on a different channel. ''' output = self.runIt("install", "fabricFeatureChaincodes/e2e_test_example05.sh") self.assertIn("Chaincode 'myccex05' is installed on PEER0 successfully", output) self.assertIn("Chaincode 'myccex05' is installed on PEER1 successfully", output) self.assertIn("Chaincode 'myccex05' is installed on PEER2 successfully", output) self.assertIn("Chaincode 'myccex05' is installed on PEER3 successfully", output) self.assertIn("Chaincode 'ex02_b' is installed on PEER0 successfully", output) self.assertIn("Chaincode 'ex02_b' is installed on PEER1 successfully", output) self.assertIn("Chaincode 'ex02_b' is installed on PEER2 successfully", output) self.assertIn("Chaincode 'ex02_b' is installed on PEER3 successfully", output) output = self.runIt("instantiate", "fabricFeatureChaincodes/e2e_test_example05.sh") self.assertIn("successfully", output) output = self.runIt("invokeQuery", "fabricFeatureChaincodes/e2e_test_example05.sh") self.assertIn("successfully", output) #@unittest.skip("skipping") def test_FAB3792_marbles02_init_query_transfer_marbles(self): ''' This test few basic operations from marbles02 chaincode. ''' output = self.runIt("install", "fabricFeatureChaincodes/e2e_test_marbles02.sh") self.assertIn("successfully", output) output = self.runIt("instantiate", "fabricFeatureChaincodes/e2e_test_marbles02.sh") self.assertIn("successfully", output) output = self.runIt("initMarble1", "fabricFeatureChaincodes/e2e_test_marbles02.sh") self.assertIn("successful", output) output = self.runIt("queryMarble1", "fabricFeatureChaincodes/e2e_test_marbles02.sh") self.assertIn("successful", output) output = self.runIt("initMarble2", "fabricFeatureChaincodes/e2e_test_marbles02.sh") self.assertIn("successful", output) output = self.runIt("queryMarble2", "fabricFeatureChaincodes/e2e_test_marbles02.sh") self.assertIn("Query marble2 on PEER2 on channel0 on chaincode mymarbles020 is successful", output) output = self.runIt("txfrMarble", "fabricFeatureChaincodes/e2e_test_marbles02.sh") self.assertIn("Txfr marble1 on PEER2 on channel0 on chaincode mymarbles020 to JERRY is successful", output) output = self.runIt("queryAfterTxfrMarble", "fabricFeatureChaincodes/e2e_test_marbles02.sh") self.assertIn("Query marble1 on PEER2 on channel0 on chaincode mymarbles020 is successful", output) #@unittest.skip("skipping") def test_FAB3793_chaincodeAPIDriver_exercise_chaincode_api_calls_as_invoke_functions(self): ''' Calling functions in shim/chaincode.go. ''' output = self.runIt("install", "fabricFeatureChaincodes/e2e_test_ccapidriver.sh") self.assertIn("successfully", output) output = self.runIt("instantiate", "fabricFeatureChaincodes/e2e_test_ccapidriver.sh") self.assertIn("successfully", output) output = self.runIt("invoke_getTxTimeStamp", "fabricFeatureChaincodes/e2e_test_ccapidriver.sh") self.assertIn("successful", output) output = self.runIt("invoke_getBinding", "fabricFeatureChaincodes/e2e_test_ccapidriver.sh") self.assertIn("successful", output) output = self.runIt("invoke_getCreator", "fabricFeatureChaincodes/e2e_test_ccapidriver.sh") self.assertIn("successful", output) output = self.runIt("invoke_getSignedProposal", "fabricFeatureChaincodes/e2e_test_ccapidriver.sh") self.assertIn("successful", output) output = self.runIt("invoke_getTransient", "fabricFeatureChaincodes/e2e_test_ccapidriver.sh") self.assertIn("successful", output) #@unittest.skip("skipping") def test_FAB3793_chaincodeAPIDriver_2_exercise_chaincode_api_calls_as_direct_calls(self): ''' Calling functions in shim/chaincode.go. ''' output = self.runIt("install", "fabricFeatureChaincodes/e2e_test_ccapidriver_two.sh") self.assertIn("successfully", output) output = self.runIt("instantiate", "fabricFeatureChaincodes/e2e_test_ccapidriver_two.sh") self.assertIn("successfully", output) output = self.runIt("invoke_getTxTimeStamp", "fabricFeatureChaincodes/e2e_test_ccapidriver_two.sh") self.assertIn("successful", output) output = self.runIt("invoke_getBinding", "fabricFeatureChaincodes/e2e_test_ccapidriver_two.sh") self.assertIn("successful", output) output = self.runIt("invoke_getCreator", "fabricFeatureChaincodes/e2e_test_ccapidriver_two.sh") self.assertIn("successful", output) output = self.runIt("invoke_getSignedProposal", "fabricFeatureChaincodes/e2e_test_ccapidriver_two.sh") self.assertIn("successful", output) output = self.runIt("invoke_getTransient", "fabricFeatureChaincodes/e2e_test_ccapidriver_two.sh") self.assertIn("successful", output) @unittest.skip("skipping") def test_FABXXXX_Joe_Chaincode(self): ''' Calling functions in shim/chaincode.go. ''' pass @unittest.skip("skipping") def test_FABXXXX_Laurie_Chaincode(self): ''' Calling functions in shim/chaincode.go. ''' pass @unittest.skip("skipping") def test_FABXXXX_Alpha_Chaincode(self): ''' Calling functions in shim/chaincode.go. ''' pass @unittest.skip("skipping") def test_FABXXXX_XYZ_Chaincode(self): ''' Calling functions in shim/chaincode.go. ''' pass @unittest.skip("skipping") def test_FABXXXX_ABC_Chaincode(self): ''' Calling functions in shim/chaincode.go. ''' pass

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0.709503

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13,353

6.259434

0.143531

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0.058133

0.063301

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null

0

1

0

null

0

1

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4

4a9ab0d3846e29c56b6317db67b519c5141841d6

367

py

Python

venv-skin/lib/python3.6/site-packages/hashes/ops/md5.py

nobi1007/flask-apis

9ae5d676be5fe7d0669415089bd032f43abda2d8

[ "MIT" ]

null

venv-skin/lib/python3.6/site-packages/hashes/ops/md5.py

nobi1007/flask-apis

9ae5d676be5fe7d0669415089bd032f43abda2d8

[ "MIT" ]

3

2020-06-03T08:09:39.000Z

2021-04-30T21:17:43.000Z

venv-skin/lib/python3.6/site-packages/hashes/ops/md5.py

nobi1007/flask-apis

9ae5d676be5fe7d0669415089bd032f43abda2d8

[ "MIT" ]

null

''' This module generates md5 hashes ''' import hashlib class Algorithm: def __init__(self): self.hash_type = "md5" self.description = "This module generates md5 hashes" def generate(self, cli_object): hash_object = getattr(hashlib, "md5")() hash_object.update(cli_object.plaintext) return hash_object.hexdigest()

20.388889

61

0.66485

43

367

5.44186

0.534884

0.128205

0.162393

0.188034

0.239316

0

0.014235

0.234332

367

17

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21.588235

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1

0

null

0

1

0

1

0

4

4ac97a314e9adcf12bac5c7b9f5e60f10a0ecb64

70

py

Python

latam/norte/__init__.py

tacosdedatos/latam

6baf6ed70a8bdb2e7de4e2bdb596bef85727301b

[ "BSD-3-Clause" ]

4

2020-10-12T07:58:39.000Z

2020-12-29T21:44:11.000Z

latam/norte/__init__.py

tacosdedatos/latam

6baf6ed70a8bdb2e7de4e2bdb596bef85727301b

[ "BSD-3-Clause" ]

126

2020-10-08T01:09:41.000Z

2022-03-22T01:05:03.000Z

latam/norte/__init__.py

tacosdedatos/latam

6baf6ed70a8bdb2e7de4e2bdb596bef85727301b

[ "BSD-3-Clause" ]

null

"""Módulo con los paises de norteamérica.""" from .mexico import MEX

17.5

44

0.728571

10

70

5.1

1

0

0.157143

70

3

45

23.333333

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0.542857

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true

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0

1

0

null

0

1

0

1

0

4

436dae7219dd647c9d68babe5df3c9f1e177f2a3

85

py

Python

src/pathme/kegg/__init__.py

brucetony/PathMe

c7d758ff76f6787a4eb349b95f9c06bf1afb0754

[ "Apache-2.0" ]

12

2019-01-24T11:00:55.000Z

2022-01-26T19:39:00.000Z

src/pathme/kegg/__init__.py

brucetony/PathMe

c7d758ff76f6787a4eb349b95f9c06bf1afb0754

[ "Apache-2.0" ]

17

2019-01-24T12:33:01.000Z

2021-06-09T07:08:50.000Z

src/pathme/kegg/__init__.py

brucetony/PathMe

c7d758ff76f6787a4eb349b95f9c06bf1afb0754

[ "Apache-2.0" ]

2

2019-07-29T08:29:33.000Z

2021-04-13T02:13:40.000Z

# -*- coding: utf-8 -*- """Part of the package dedicated to convert KEGG to BEL."""

21.25

59

0.623529

13

85

4.076923

0.923077

0

0.014493

0.188235

85

3

60

28.333333

0.753623

0.894118

0

null

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true

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null

0

1

0

1

0

null

0

1

0

4

4377fa09f3205f039140c5e7d7982bbcfbdfa7b6

307

py

Python

spiketag/base/SpkWav.py

aliddell/spiketag

f5600126c2c6c9be319e8b808d51ea33be843909

[ "BSD-3-Clause" ]

4

2018-04-23T18:08:39.000Z

2020-03-10T19:06:28.000Z

spiketag/base/SpkWav.py

aliddell/spiketag

f5600126c2c6c9be319e8b808d51ea33be843909

[ "BSD-3-Clause" ]

69

2017-02-17T19:27:52.000Z

2022-03-30T04:06:53.000Z

spiketag/base/SpkWav.py

aliddell/spiketag

f5600126c2c6c9be319e8b808d51ea33be843909

[ "BSD-3-Clause" ]

5

2017-02-01T16:11:32.000Z

2021-02-05T20:10:43.000Z

import numpy as np def get_spkwav(filename): ''' spk_wav.bin ''' spkwav = np.fromfile(filename, dtype=np.int32).reshape(-1, 20, 4) return spkwav def get_spkinfo(filename): ''' spk.bin ''' spkinfo = np.fromfile(filename, dtype=np.int32).reshape(-1,2) return spkinfo

20.466667

70

0.625407

42

307

4.5

0.5

0.063492

0.190476

0.243386

0.402116

0

0.042194

0.228013

307

15

71

20.466667

0.755274

0.061889

0

1

0.285714

false

0

0.142857

0

0.714286

0

null

0

1

0

null

0

1

0

1

0

4

438a29db12e4dc8560c38b9a926ed1f269f8f753

142

py

Python

apps/benefactor/admin.py

alejandrobolivar/sist_inv_coesbicop

36a068f21adb28f1f711b540841786538dbf8411

[ "CC0-1.0" ]

null

apps/benefactor/admin.py

alejandrobolivar/sist_inv_coesbicop

36a068f21adb28f1f711b540841786538dbf8411

[ "CC0-1.0" ]

null

apps/benefactor/admin.py

alejandrobolivar/sist_inv_coesbicop

36a068f21adb28f1f711b540841786538dbf8411

[ "CC0-1.0" ]

null

from django.contrib import admin # Register your models here. from apps.benefactor.models import Benefactor admin.site.register(Benefactor)

20.285714

45

0.823944

19

142

6.157895

0.631579

0

0.112676

142

7

46

20.285714

0.928571

0.183099

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

43a8f4aedc138f9d2e32e36adf2015082cf63afb

216

py

Python

api/serializers.py

pearlpandz/storyseller-api

0db7bcb9be8b808e7dec62da180279ca720df312

[ "MIT" ]

null

api/serializers.py

pearlpandz/storyseller-api

0db7bcb9be8b808e7dec62da180279ca720df312

[ "MIT" ]

null

api/serializers.py

pearlpandz/storyseller-api

0db7bcb9be8b808e7dec62da180279ca720df312

[ "MIT" ]

null

from rest_framework import serializers from .models import Story class StorySerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Story fields = ('name', 'description', 'file')

27

62

0.726852

21

216

7.428571

0.761905

0

0.189815

216

8

63

27

0.891429

0

0.087558

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

43adac9c685db3a42693526afbb92d4b0a2acd4b

101

py

Python

a1_t5_1.py

Jimmyjtc001/assignment1

597f6c2e9803fe74bf2efba0ffaa00afba7bf1bc

[ "BSD-3-Clause" ]

null

a1_t5_1.py

Jimmyjtc001/assignment1

597f6c2e9803fe74bf2efba0ffaa00afba7bf1bc

[ "BSD-3-Clause" ]

null

a1_t5_1.py

Jimmyjtc001/assignment1

597f6c2e9803fe74bf2efba0ffaa00afba7bf1bc

[ "BSD-3-Clause" ]

null

import statistics power_arr = [4, 5, 2, 6, 3, 7, 8, 9, 6, 5, 2] print(statistics.median(power_arr))

20.2

45

0.653465

20

101

3.2

0.7

0.25

0

0.130952

0.168317

101

4

46

25.25

0.630952

0

1

0

false

0

0.333333

0

0.333333

1

0

null

1

0

1

0

null

0

1

0

4

43b6809634ee083a16f272a55f21edef8b58c879

1,604

py

Python

ugentlist.py

DW-yejing/ssq_analyzer

2b8a021e39bd99fdd1a84727c0ea18f1a9f78da2

[ "MIT" ]

null

ugentlist.py

DW-yejing/ssq_analyzer

2b8a021e39bd99fdd1a84727c0ea18f1a9f78da2

[ "MIT" ]

null

ugentlist.py

DW-yejing/ssq_analyzer

2b8a021e39bd99fdd1a84727c0ea18f1a9f78da2

[ "MIT" ]

null

#encoding: utf-8 userAgents=["Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Avant Browser)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SE 2.X MetaSr 1.0; SE 2.X MetaSr 1.0; .NET CLR 2.0.50727; SE 2.X MetaSr 1.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; The World)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; TencentTraveler 4.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Maxthon 2.0)", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11", "Opera/9.80 (Windows NT 6.1; U; en) Presto/2.8.131 Version/11.11", "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; en) Presto/2.8.131 Version/11.11", "Mozilla/5.0 (Windows NT 6.1; rv:2.0.1) Gecko/20100101 Firefox/4.0.1", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:2.0.1) Gecko/20100101 Firefox/4.0.1", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0)", "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0)", "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0", "Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50", "Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50" ]

76.380952

147

0.65586

326

1,604

3.214724

0.184049

0.030534

0.124046

0.199427

0.736641

0.701336

0.652672

0.590649

0.490458

0

0.169151

0.163342

1,604

21

148

76.380952

0.611773

0.009352

0

0.75

0.898049

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

4

43ca852d3abc658d52c40cbb96ca28a2c0908a47

11,782

py

Python

tests/fetch/test_fetch_centos.py

AurelienLourot/charm-helpers

b5725ac546372e7d4004d15095f79cdd5e7da687

[ "Apache-2.0" ]

15

2017-09-20T13:37:10.000Z

2021-11-03T13:31:15.000Z

tests/fetch/test_fetch_centos.py

AurelienLourot/charm-helpers

b5725ac546372e7d4004d15095f79cdd5e7da687

[ "Apache-2.0" ]

313

2017-09-15T13:22:58.000Z

2022-02-25T17:55:01.000Z

tests/fetch/test_fetch_centos.py

AurelienLourot/charm-helpers

b5725ac546372e7d4004d15095f79cdd5e7da687

[ "Apache-2.0" ]

136

2017-09-19T13:37:33.000Z

2022-03-29T11:08:00.000Z

import subprocess import os from tests.helpers import patch_open from testtools import TestCase from mock import ( patch, MagicMock, call, ) from charmhelpers.fetch import centos as fetch def getenv(update=None): # return a copy of os.environ with update applied. # this was necessary because some modules modify os.environment directly copy = os.environ.copy() if update is not None: copy.update(update) return copy class FetchTest(TestCase): @patch("charmhelpers.fetch.log") @patch('yum.YumBase.doPackageLists') def test_filter_packages_missing_centos(self, yumBase, log): class MockPackage: def __init__(self, name): self.base_package_name = name yum_dict = { 'installed': { MockPackage('vim') }, 'available': { MockPackage('vim') } } import yum yum.YumBase.return_value.doPackageLists.return_value = yum_dict result = fetch.filter_installed_packages(['vim', 'emacs']) self.assertEquals(result, ['emacs']) @patch("charmhelpers.fetch.log") def test_filter_packages_none_missing_centos(self, log): class MockPackage: def __init__(self, name): self.base_package_name = name yum_dict = { 'installed': { MockPackage('vim') }, 'available': { MockPackage('vim') } } import yum yum.yumBase.return_value.doPackageLists.return_value = yum_dict result = fetch.filter_installed_packages(['vim']) self.assertEquals(result, []) @patch('charmhelpers.fetch.centos.log') @patch('yum.YumBase.doPackageLists') def test_filter_packages_not_available_centos(self, yumBase, log): class MockPackage: def __init__(self, name): self.base_package_name = name yum_dict = { 'installed': { MockPackage('vim') } } import yum yum.YumBase.return_value.doPackageLists.return_value = yum_dict result = fetch.filter_installed_packages(['vim', 'joe']) self.assertEquals(result, ['joe']) @patch('charmhelpers.fetch.centos.log') def test_add_source_none_centos(self, log): fetch.add_source(source=None) self.assertTrue(log.called) @patch('charmhelpers.fetch.centos.log') @patch('os.listdir') def test_add_source_http_centos(self, listdir, log): source = "http://archive.ubuntu.com/ubuntu raring-backports main" with patch_open() as (mock_open, mock_file): fetch.add_source(source=source) listdir.assert_called_with('/etc/yum.repos.d/') mock_file.write.assert_has_calls([ call("[archive.ubuntu.com_ubuntu raring-backports main]\n"), call("name=archive.ubuntu.com/ubuntu raring-backports main\n"), call("baseurl=http://archive.ubuntu.com/ubuntu raring" "-backports main\n\n")]) @patch('charmhelpers.fetch.centos.log') @patch('os.listdir') @patch('subprocess.check_call') def test_add_source_http_and_key_id_centos(self, check_call, listdir, log): source = "http://archive.ubuntu.com/ubuntu raring-backports main" key_id = "akey" with patch_open() as (mock_open, mock_file): fetch.add_source(source=source, key=key_id) listdir.assert_called_with('/etc/yum.repos.d/') mock_file.write.assert_has_calls([ call("[archive.ubuntu.com_ubuntu raring-backports main]\n"), call("name=archive.ubuntu.com/ubuntu raring-backports main\n"), call("baseurl=http://archive.ubuntu.com/ubuntu raring" "-backports main\n\n")]) check_call.assert_called_with(['rpm', '--import', key_id]) @patch('charmhelpers.fetch.centos.log') @patch('os.listdir') @patch('subprocess.check_call') def test_add_source_https_and_key_id_centos(self, check_call, listdir, log): source = "https://USER:PASS@private-ppa.launchpad.net/project/awesome" key_id = "GPGPGP" with patch_open() as (mock_open, mock_file): fetch.add_source(source=source, key=key_id) listdir.assert_called_with('/etc/yum.repos.d/') mock_file.write.assert_has_calls([ call("[_USER:PASS@private-ppa.launchpad" ".net_project_awesome]\n"), call("name=/USER:PASS@private-ppa.launchpad.net" "/project/awesome\n"), call("baseurl=https://USER:PASS@private-ppa.launchpad.net" "/project/awesome\n\n")]) check_call.assert_called_with(['rpm', '--import', key_id]) @patch('charmhelpers.fetch.centos.log') @patch.object(fetch, 'NamedTemporaryFile') @patch('os.listdir') @patch('subprocess.check_call') def test_add_source_http_and_key_centos(self, check_call, listdir, temp_file, log): source = "http://archive.ubuntu.com/ubuntu raring-backports main" key = ''' -----BEGIN PGP PUBLIC KEY BLOCK----- [...] -----END PGP PUBLIC KEY BLOCK----- ''' file_mock = MagicMock() file_mock.name = 'temporary_file' temp_file.return_value.__enter__.return_value = file_mock listdir.return_value = [] with patch_open() as (mock_open, mock_file): fetch.add_source(source=source, key=key) listdir.assert_called_with('/etc/yum.repos.d/') self.assertTrue(log.called) check_call.assert_called_with(['rpm', '--import', file_mock.name]) file_mock.write.assert_called_once_with(key) file_mock.flush.assert_called_once_with() file_mock.seek.assert_called_once_with(0) class YumTests(TestCase): @patch('subprocess.call') @patch('charmhelpers.fetch.centos.log') def test_yum_upgrade_non_fatal(self, log, mock_call): options = ['--foo', '--bar'] fetch.upgrade(options) mock_call.assert_called_with(['yum', '--assumeyes', '--foo', '--bar', 'upgrade'], env=getenv()) @patch('subprocess.check_call') @patch('charmhelpers.fetch.centos.log') def test_yum_upgrade_fatal(self, log, mock_call): options = ['--foo', '--bar'] fetch.upgrade(options, fatal=True) mock_call.assert_called_with(['yum', '--assumeyes', '--foo', '--bar', 'upgrade'], env=getenv()) @patch('subprocess.call') @patch('charmhelpers.fetch.centos.log') def test_installs_yum_packages(self, log, mock_call): packages = ['foo', 'bar'] options = ['--foo', '--bar'] fetch.install(packages, options) mock_call.assert_called_with(['yum', '--assumeyes', '--foo', '--bar', 'install', 'foo', 'bar'], env=getenv()) @patch('subprocess.call') @patch('charmhelpers.fetch.centos.log') def test_installs_yum_packages_without_options(self, log, mock_call): packages = ['foo', 'bar'] fetch.install(packages) mock_call.assert_called_with(['yum', '--assumeyes', 'install', 'foo', 'bar'], env=getenv()) @patch('subprocess.call') @patch('charmhelpers.fetch.centos.log') def test_installs_yum_packages_as_string(self, log, mock_call): packages = 'foo bar' fetch.install(packages) mock_call.assert_called_with(['yum', '--assumeyes', 'install', 'foo bar'], env=getenv()) @patch('subprocess.check_call') @patch('charmhelpers.fetch.centos.log') def test_installs_yum_packages_with_possible_errors(self, log, mock_call): packages = ['foo', 'bar'] options = ['--foo', '--bar'] fetch.install(packages, options, fatal=True) mock_call.assert_called_with(['yum', '--assumeyes', '--foo', '--bar', 'install', 'foo', 'bar'], env=getenv()) @patch('subprocess.check_call') @patch('charmhelpers.fetch.centos.log') def test_purges_yum_packages_as_string_fatal(self, log, mock_call): packages = 'irrelevant names' mock_call.side_effect = OSError('fail') self.assertRaises(OSError, fetch.purge, packages, fatal=True) self.assertTrue(log.called) @patch('subprocess.check_call') @patch('charmhelpers.fetch.centos.log') def test_purges_yum_packages_fatal(self, log, mock_call): packages = ['irrelevant', 'names'] mock_call.side_effect = OSError('fail') self.assertRaises(OSError, fetch.purge, packages, fatal=True) self.assertTrue(log.called) @patch('subprocess.call') @patch('charmhelpers.fetch.centos.log') def test_purges_yum_packages_as_string_nofatal(self, log, mock_call): packages = 'foo bar' fetch.purge(packages) self.assertTrue(log.called) mock_call.assert_called_with(['yum', '--assumeyes', 'remove', 'foo bar'], env=getenv()) @patch('subprocess.call') @patch('charmhelpers.fetch.centos.log') def test_purges_yum_packages_nofatal(self, log, mock_call): packages = ['foo', 'bar'] fetch.purge(packages) self.assertTrue(log.called) mock_call.assert_called_with(['yum', '--assumeyes', 'remove', 'foo', 'bar'], env=getenv()) @patch('subprocess.check_call') @patch('charmhelpers.fetch.centos.log') def test_yum_update_fatal(self, log, check_call): fetch.update(fatal=True) check_call.assert_called_with(['yum', '--assumeyes', 'update'], env=getenv()) self.assertTrue(log.called) @patch('subprocess.check_output') @patch('charmhelpers.fetch.centos.log') def test_yum_search(self, log, check_output): package = ['irrelevant'] from charmhelpers.fetch.centos import yum_search yum_search(package) check_output.assert_called_with(['yum', 'search', 'irrelevant']) self.assertTrue(log.called) @patch('subprocess.check_call') @patch('time.sleep') def test_run_yum_command_retries_if_fatal(self, check_call, sleep): """The _run_yum_command function retries the command if it can't get the YUM lock.""" self.called = False def side_effect(*args, **kwargs): """ First, raise an exception (can't acquire lock), then return 0 (the lock is grabbed). """ if not self.called: self.called = True raise subprocess.CalledProcessError( returncode=1, cmd="some command") else: return 0 check_call.side_effect = side_effect check_call.return_value = 0 from charmhelpers.fetch.centos import _run_yum_command _run_yum_command(["some", "command"], fatal=True) self.assertTrue(sleep.called)

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78de34db1136d45b305fa61e25c62b02195ed359

168

py

Python

Pcolors/shortcuts/__init__.py

rafalou38/Pcolors

a4dc57c57d6a142a23a8ce8bc422581028fc8abd

[ "MIT" ]

1

2020-08-31T09:45:28.000Z

Pcolors/shortcuts/__init__.py

rafalou38/Pcolors

a4dc57c57d6a142a23a8ce8bc422581028fc8abd

[ "MIT" ]

null

Pcolors/shortcuts/__init__.py

rafalou38/Pcolors

a4dc57c57d6a142a23a8ce8bc422581028fc8abd

[ "MIT" ]

null

from . import dark, light, format def to_bg(id): """ :param id: id of a color (light or dark) :return: id of the color for background """ return str(int(id) + 10)

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py

Python

virtual/lib/python3.6/site-packages/pylint/test/functional/too_many_lines.py

drewheathens/The-Moringa-Tribune

98ee4d63c9df6f1f7497fc6876960a822d914500

[ "MIT" ]

463

2015-01-15T08:17:42.000Z

2022-03-28T15:10:20.000Z

virtual/lib/python3.6/site-packages/pylint/test/functional/too_many_lines.py

drewheathens/The-Moringa-Tribune

98ee4d63c9df6f1f7497fc6876960a822d914500

[ "MIT" ]

52

2015-01-06T02:43:59.000Z

2022-03-14T11:15:21.000Z

virtual/lib/python3.6/site-packages/pylint/test/functional/too_many_lines.py

drewheathens/The-Moringa-Tribune

98ee4d63c9df6f1f7497fc6876960a822d914500

[ "MIT" ]

249

2015-01-07T22:49:49.000Z

2022-03-18T02:32:06.000Z

# pylint: disable=missing-docstring # -1: [too-many-lines] __revision__ = 0 ZERFZAER = 3 HEHEHE = 2

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null

1

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4

78e885ac77ec43e4441c5ab6f6155328418357e1

170

py

Python

docs/examples/flags.py

jamezpolley/begins

7dfac6f7c9f5cb04ee1f44993709895a4ea60d31

[ "Apache-2.0" ]

120

2015-03-11T19:36:57.000Z

2021-03-28T05:02:34.000Z

docs/examples/flags.py

jamezpolley/begins

7dfac6f7c9f5cb04ee1f44993709895a4ea60d31

[ "Apache-2.0" ]

22

2015-02-24T22:41:18.000Z

2020-06-10T06:27:49.000Z

docs/examples/flags.py

jamezpolley/begins

7dfac6f7c9f5cb04ee1f44993709895a4ea60d31

[ "Apache-2.0" ]

23

2015-05-22T12:56:24.000Z

2020-05-29T01:34:03.000Z

from __future__ import print_function import begin @begin.start def question(enabled=False, disabled=True): print("enable:", enabled) print("disable:", disabled)

24.285714

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null

0

1

0

1

0

4

6006724a6492df63f191ff7dbbf70fb78aa84cb7

94

py

Python

C18/18-5/meal_plans/apps.py

Triple-Z/Python-Crash-Course

7e59104420f6110e4d60668314264105534016ce

[ "MIT" ]

null

C18/18-5/meal_plans/apps.py

Triple-Z/Python-Crash-Course

7e59104420f6110e4d60668314264105534016ce

[ "MIT" ]

null

C18/18-5/meal_plans/apps.py

Triple-Z/Python-Crash-Course

7e59104420f6110e4d60668314264105534016ce

[ "MIT" ]

null

from django.apps import AppConfig class MealPlansConfig(AppConfig): name = 'meal_plans'

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0

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null

0

1

0

1

0

4

601b0c0ad5658c76ee0211ddfaa42944b19788e1

770

py

Python

bajra/engines/base.py

Spratiher9/Bajra

c668ab8879356cca7eff8b8e66f28bae34f8f6e6

[ "Apache-2.0" ]

null

bajra/engines/base.py

Spratiher9/Bajra

c668ab8879356cca7eff8b8e66f28bae34f8f6e6

[ "Apache-2.0" ]

null

bajra/engines/base.py

Spratiher9/Bajra

c668ab8879356cca7eff8b8e66f28bae34f8f6e6

[ "Apache-2.0" ]

null

class EngineBase: def __init__(self, *args, **kwargs): raise NotImplementedError() def connection(self, *args, **kwargs): raise NotImplementedError() def execute(self, query, params): raise NotImplementedError() def fetchone(self, query, params): raise NotImplementedError() def fetchall(self, query, params): raise NotImplementedError() def reset(self): raise NotImplementedError() def commit(self): raise NotImplementedError() def begin(self): raise NotImplementedError() def rollback(self): raise NotImplementedError() def mogrify(self, query, params): raise NotImplementedError() def close(self): raise NotImplementedError()

23.333333

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null

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60205ffd5fb34b6dbb7ab14bf4636b69acf718e8

126

py

Python

URI2765.py

rashidulhasanhridoy/URI-Online-Judge-Problem-Solve-with-Python-3

c7db434e2e6e40c2ca3bd56db0d04cf79f69de12

[ "Apache-2.0" ]

2

2020-07-21T18:01:37.000Z

2021-11-29T01:08:14.000Z

URI2765.py

rashidulhasanhridoy/URI-Online-Judge-Problem-Solve-with-Python-3

c7db434e2e6e40c2ca3bd56db0d04cf79f69de12

[ "Apache-2.0" ]

null

URI2765.py

rashidulhasanhridoy/URI-Online-Judge-Problem-Solve-with-Python-3

c7db434e2e6e40c2ca3bd56db0d04cf79f69de12

[ "Apache-2.0" ]

null

C = 0 X = str(input('')) for i in X: if i == ',': C = X.index(i) break print(X[:C]) print(X[C+1 : len(X)])

15.75

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2.12

0.56

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126

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1

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null

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4

6022311a821bc8f46b05c081cf1010a3543a253e

106

py

Python

Chapter 04 - Repetition Structures/Assignments/4.4 - Calculating a Running Total/51095.py

EllisBarnes00/COP-1000

8509e59e8a566c77295c714ddcb0f557c470358b

[ "Unlicense" ]

null

Chapter 04 - Repetition Structures/Assignments/4.4 - Calculating a Running Total/51095.py

EllisBarnes00/COP-1000

8509e59e8a566c77295c714ddcb0f557c470358b

[ "Unlicense" ]

1

2021-06-07T03:55:29.000Z

2021-06-07T03:56:47.000Z

Chapter 04 - Repetition Structures/Assignments/4.4 - Calculating a Running Total/51095.py

EllisBarnes00/COP-1000

8509e59e8a566c77295c714ddcb0f557c470358b

[ "Unlicense" ]

null

# given the variable profits, write a statment that # increases its value by a factor of 10 profits *= 10

26.5

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4.444444

0.833333

0

0.047059

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0

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1

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null

0

1

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4

602a36c3f114ef25b062d1f9963ae19bede0752f

182

py

Python

solutions/1st-operators/l1_a3.py

Jhynn/programming-concepts-and-logic

0ffa71c6259296813d3951f21e8d0d69dd523545

[ "CC-BY-4.0" ]

4

2021-08-03T01:13:34.000Z

2021-09-29T21:47:41.000Z

solutions/1st-operators/l1_a3.py

Jhynn/programming-concepts-and-logic

0ffa71c6259296813d3951f21e8d0d69dd523545

[ "CC-BY-4.0" ]

null

solutions/1st-operators/l1_a3.py

Jhynn/programming-concepts-and-logic

0ffa71c6259296813d3951f21e8d0d69dd523545

[ "CC-BY-4.0" ]

null

height = float(input('Type your height, please: ')) wheight = float(input('Type your wheight, please: ')) bmi = wheight / height ** 2 print(f'Your Body Mass Index ─ BMI is {bmi}')

26

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0

1

0

1

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null

0

4

602f2fe88cd6262602853e3d0eb2a443c5dd9fa7

188

py

Python

hello.py

musegros/projectManagement

6f556b232e8a5ca46b015d955b49e0b3bb9d0406

[ "WTFPL" ]

null

hello.py

musegros/projectManagement

6f556b232e8a5ca46b015d955b49e0b3bb9d0406

[ "WTFPL" ]

null

hello.py

musegros/projectManagement

6f556b232e8a5ca46b015d955b49e0b3bb9d0406

[ "WTFPL" ]

null

import random from flask import Flask app = Flask(__name__) def coin_toss( ): return ['Heads', 'Tails'][random.randint(0,1)] @app.route("/") def hello(): return "Hello, World!"

15.666667

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188

4.538462

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0.170213

188

11

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0

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0

1

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false

0

0.25

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0

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null

0

null

0

1

0

1

0

4

6036750e70bbd7c7acef16f6c5b204c8c29c04b0

120

py

Python

pbProj/__init__.py

samdmarshall/pbProj

bda50db74778097410b1d748227282961d25b4af

[ "BSD-3-Clause" ]

9

2015-10-31T16:50:32.000Z

2019-11-13T18:48:19.000Z

pbProj/__init__.py

samdmarshall/pbProj

bda50db74778097410b1d748227282961d25b4af

[ "BSD-3-Clause" ]

null

pbProj/__init__.py

samdmarshall/pbProj

bda50db74778097410b1d748227282961d25b4af

[ "BSD-3-Clause" ]

null

import sys import os sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'pbPlist')) import pbPlist

30

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120

4

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30

0.79646

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0

1

0

true

0

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null

0

1

0

null

0

1

0

1

0

4

605b856f47eb434d8ae087902d7dc4def7b42cde

464

py

Python

freerider/freeridersocial/admin.py

Katzesama/CMPUT404-project-socialdistribution

e8e7f5dc89cfbabb9eebfe09e55b382eac8a0520

[ "Apache-2.0" ]

null

freerider/freeridersocial/admin.py

Katzesama/CMPUT404-project-socialdistribution

e8e7f5dc89cfbabb9eebfe09e55b382eac8a0520

[ "Apache-2.0" ]

null

freerider/freeridersocial/admin.py

Katzesama/CMPUT404-project-socialdistribution

e8e7f5dc89cfbabb9eebfe09e55b382eac8a0520

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import * from django.contrib.auth.models import User from django.contrib.auth.admin import UserAdmin from django.contrib.auth.models import User # Register your models here. admin.site.unregister(User) admin.site.register(User, UserAdmin) admin.site.register(Author) admin.site.register(Post) admin.site.register(Images) admin.site.register(Comment) admin.site.register(FriendRequest) admin.site.register(ServerNode)

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null

0

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0

1

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4

607fd490e996c080d08fe5618b32284a7fac578e

260

py

Python

Curso Python/ex026.py

IgorEnricoFP/Curso-em-Video

473f9f2450cd95243567682a7624d1e84e48b922

[ "MIT" ]

null

Curso Python/ex026.py

IgorEnricoFP/Curso-em-Video

473f9f2450cd95243567682a7624d1e84e48b922

[ "MIT" ]

null

Curso Python/ex026.py

IgorEnricoFP/Curso-em-Video

473f9f2450cd95243567682a7624d1e84e48b922

[ "MIT" ]

null

frase = str(input('Digite uma frase: ')).strip().upper() print(f'A letra A aparece {frase.count("A")} vezes na frase') print(f'A primeira letra A apareceu na posição {(frase.find("A")+1)}') print(f'A Última letra A apareceu na posição {(frase.rfind("A")+1)}')

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1

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880d57ea0813aa368a8c70bba6abe8056929f77c

129

py

Python

server/athenian/api/models/persistentdata/__main__.py

athenianco/athenian-api

dd5556101a8c49703d6b0516e4268b9e8d8eda5b

[ "RSA-MD" ]

9

2020-10-11T22:12:03.000Z

2022-02-26T02:16:45.000Z

server/athenian/api/models/persistentdata/__main__.py

athenianco/athenian-api

dd5556101a8c49703d6b0516e4268b9e8d8eda5b

[ "RSA-MD" ]

246

2019-12-05T06:37:30.000Z

2022-03-29T10:00:07.000Z

server/athenian/api/models/persistentdata/__main__.py

athenianco/athenian-api

dd5556101a8c49703d6b0516e4268b9e8d8eda5b

[ "RSA-MD" ]

5

2019-12-04T22:38:05.000Z

2021-02-26T00:50:04.000Z

import sys from athenian.api.models import migrate if __name__ == "__main__": exit(migrate("persistentdata", sys.argv[1]))

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0

null

0

1

0

1

0

4

71608e8095fc54a1b408be4940b9fb19de14fc2d

705

py

Python

analytics/migrations/0008_add_count_indexes.py

TylerPham2000/zulip

2e7aaba0dde5517b4a55cb0bd782f009be45e3ba

[ "Apache-2.0" ]

17,004

2015-09-25T18:27:24.000Z

2022-03-31T22:02:32.000Z

analytics/migrations/0008_add_count_indexes.py

TylerPham2000/zulip

2e7aaba0dde5517b4a55cb0bd782f009be45e3ba

[ "Apache-2.0" ]

20,344

2015-09-25T19:02:42.000Z

2022-03-31T23:54:40.000Z

analytics/migrations/0008_add_count_indexes.py

TylerPham2000/zulip

2e7aaba0dde5517b4a55cb0bd782f009be45e3ba

[ "Apache-2.0" ]

7,271

2015-09-25T18:48:39.000Z

2022-03-31T21:06:11.000Z

# Generated by Django 1.10.5 on 2017-02-01 22:28 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("zerver", "0050_userprofile_avatar_version"), ("analytics", "0007_remove_interval"), ] operations = [ migrations.AlterIndexTogether( name="realmcount", index_together={("property", "end_time")}, ), migrations.AlterIndexTogether( name="streamcount", index_together={("property", "realm", "end_time")}, ), migrations.AlterIndexTogether( name="usercount", index_together={("property", "realm", "end_time")}, ), ]

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null

1

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1

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null

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4

71638fabdb4a47d310dcc4175b60c1cfb80895af

187

py

Python

agenda/views.py

Centro-Reino-da-Mata/ISFU

aa0d2f8da68026dfffc27ca05dabbc95fe70f971

[ "Apache-2.0" ]

null

agenda/views.py

Centro-Reino-da-Mata/ISFU

aa0d2f8da68026dfffc27ca05dabbc95fe70f971

[ "Apache-2.0" ]

2

2021-09-16T12:04:01.000Z

2022-03-23T17:34:21.000Z

agenda/views.py

Centro-Reino-da-Mata/ISFU

aa0d2f8da68026dfffc27ca05dabbc95fe70f971

[ "Apache-2.0" ]

null

from django.shortcuts import render from django.views.generic import ListView from .models import Agenda class AddAgenda(ListView): model = Agenda template_name = 'agenda.html'

20.777778

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187

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0.666667

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0.160428

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8

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null

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null

0

1

0

1

0

4

7172543decdbe4da1607d7c8eef8089930f63a82

514

py

Python

GPy/plotting/__init__.py

beckdaniel/GPy

37e835aa36b18c32bc500684cc10dd2b74240e1f

[ "BSD-3-Clause" ]

null

GPy/plotting/__init__.py

beckdaniel/GPy

37e835aa36b18c32bc500684cc10dd2b74240e1f

[ "BSD-3-Clause" ]

null

GPy/plotting/__init__.py

beckdaniel/GPy

37e835aa36b18c32bc500684cc10dd2b74240e1f

[ "BSD-3-Clause" ]

1

2020-02-21T02:40:18.000Z

# Copyright (c) 2014, GPy authors (see AUTHORS.txt). # Licensed under the BSD 3-clause license (see LICENSE.txt) try: from . import matplot_dep except (ImportError, NameError): # Matplotlib not available import warnings warnings.warn(ImportWarning("Matplotlib not available, install newest version of Matplotlib for plotting")) #sys.modules['matplotlib'] = #sys.modules[__name__+'.matplot_dep'] = ImportWarning("Matplotlib not available, install newest version of Matplotlib for plotting")

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514

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0.153697

514

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136

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null

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1

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1

0

4

71bf0283dfa91cedb4cac5fd65f9b09b5cc8c096

1,253

py

Python

global_finprint/annotation/migrations/0065_dummy_column.py

GlobalFinPrint/global_finprint

8a91ceaaed42aaa716d8c9f27518ba673ebf351c

[ "Apache-2.0" ]

null

global_finprint/annotation/migrations/0065_dummy_column.py

GlobalFinPrint/global_finprint

8a91ceaaed42aaa716d8c9f27518ba673ebf351c

[ "Apache-2.0" ]

6

2020-06-05T18:42:32.000Z

2022-01-13T00:48:57.000Z

global_finprint/annotation/migrations/0065_dummy_column.py

GlobalFinPrint/global_finprint

8a91ceaaed42aaa716d8c9f27518ba673ebf351c

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.7 on 2018-09-20 19:50 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('annotation', '0064_dummy_column'), ] operations = [ migrations.AlterField( model_name='animalobservation', name='sex', field=models.CharField(choices=[('U', 'Unknown'), ('M', 'Male'), ('F', 'Female')], default='U', max_length=1), ), migrations.AlterField( model_name='animalobservation', name='stage', field=models.CharField(choices=[('AD', 'Adult'), ('U', 'Unknown'), ('JU', 'Juvenile')], default='U', max_length=2), ), migrations.AlterField( model_name='masteranimalobservation', name='sex', field=models.CharField(choices=[('U', 'Unknown'), ('M', 'Male'), ('F', 'Female')], default='U', max_length=1), ), migrations.AlterField( model_name='masteranimalobservation', name='stage', field=models.CharField(choices=[('AD', 'Adult'), ('U', 'Unknown'), ('JU', 'Juvenile')], default='U', max_length=2), ), ]

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0

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null

0

4

71c0ee572f25caee8133c67542b9623e1387186c

145

py

Python

src/codekata/supermarket_pricing.py

mrshridhara/python_trials

47f03833805d8016bcd70221111ce04297737d9a

[ "MIT" ]

1

2021-10-30T13:12:48.000Z

src/codekata/supermarket_pricing.py

mrshridhara/python_trials

47f03833805d8016bcd70221111ce04297737d9a

[ "MIT" ]

null

src/codekata/supermarket_pricing.py

mrshridhara/python_trials

47f03833805d8016bcd70221111ce04297737d9a

[ "MIT" ]

null

""" http://codekata.com/kata/kata01-supermarket-pricing/ """ def run(): raise NotImplementedError("This function is not yet implemented.")

18.125

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0.015748

0.124138

145

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null

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null

0

1

0

4

71e0bee9101db7464fd9aa387783ba56f1e27e69

64

py

Python

cacbarcode/__init__.py

mgallig/smartcard-signin

1928041442e5155894e56d02cfbbf6c5ba17245d

[ "MIT" ]

1

2019-07-24T13:30:07.000Z

cacbarcode/__init__.py

mgallig/smartcard-signin

1928041442e5155894e56d02cfbbf6c5ba17245d

[ "MIT" ]

2

2019-07-11T03:26:35.000Z

2019-07-12T02:58:34.000Z

cacbarcode/__init__.py

mgallig/smartcard-signin

1928041442e5155894e56d02cfbbf6c5ba17245d

[ "MIT" ]

2

2019-07-10T20:39:34.000Z

2019-07-11T00:26:23.000Z

from .cacbarcode import CACBarcode, PDF417Barcode, Code39Barcode

64

0.875

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64

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0.078125

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null

0

1

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1

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4

e0962241f92628b0e7ff209d061b15b154ad729f

858

py

Python

src/ash/core/ashException.py

Rolando-Zarate/ash

6672ec5d2931d39689e712fa476bbadb8733a739

[ "MIT" ]

40

2020-07-24T06:36:25.000Z

2022-03-29T11:25:37.000Z

src/ash/core/ashException.py

Rolando-Zarate/ash

6672ec5d2931d39689e712fa476bbadb8733a739

[ "MIT" ]

12

2020-12-22T02:56:05.000Z

2022-02-18T17:59:16.000Z

src/ash/core/ashException.py

Rolando-Zarate/ash

6672ec5d2931d39689e712fa476bbadb8733a739

[ "MIT" ]

3

2021-02-12T11:49:39.000Z

2021-07-23T21:17:26.000Z

# --------------------------------------------------------------------------------------------- # Copyright (c) Akash Nag. All rights reserved. # Licensed under the MIT License. See LICENSE.md in the project root for license information. # --------------------------------------------------------------------------------------------- # This module implements the custom exception class from ash.core.logger import * class AshException(Exception): def __init__(self, error_msg): super().__init__(error_msg) self.error_msg = error_msg log_error(self.error_msg) def __str__(self): return self.error_msg class AshFileReadAbortedException(Exception): def __init__(self, filename): self.error_msg = f"Error in reading file: {filename}" super().__init__(self.error_msg) log_error(self.error_msg) def __str__(self): return self.error_msg

31.777778

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false

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null

0

1

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1

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4

e0a0ca59f6984a59ce12991467c583828cbdc21e

31,809

py

Python

map_label_tool/py_proto/modules/perception/camera/lib/obstacle/tracker/omt/omt_pb2.py

freeclouds/OpenHDMap

b61c159fbdf4f50ae1d1650421596b28863f39be

[ "Apache-2.0" ]

null

map_label_tool/py_proto/modules/perception/camera/lib/obstacle/tracker/omt/omt_pb2.py

freeclouds/OpenHDMap

b61c159fbdf4f50ae1d1650421596b28863f39be

[ "Apache-2.0" ]

null

map_label_tool/py_proto/modules/perception/camera/lib/obstacle/tracker/omt/omt_pb2.py

freeclouds/OpenHDMap

b61c159fbdf4f50ae1d1650421596b28863f39be

[ "Apache-2.0" ]

1

2021-05-26T08:42:11.000Z

# Generated by the protocol buffer compiler. DO NOT EDIT! # source: modules/perception/camera/lib/obstacle/tracker/omt/omt.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) 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 from google.protobuf import descriptor_pb2 # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='modules/perception/camera/lib/obstacle/tracker/omt/omt.proto', package='apollo.perception.camera.omt', syntax='proto2', serialized_pb=_b('\n<modules/perception/camera/lib/obstacle/tracker/omt/omt.proto\x12\x1c\x61pollo.perception.camera.omt\"X\n\x0bKalmanParam\x12\x15\n\rinit_variance\x18\x01 \x01(\x02\x12\x18\n\x10process_variance\x18\x02 \x01(\x02\x12\x18\n\x10measure_variance\x18\x03 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\x01(\x0b\x32).apollo.perception.camera.omt.WeightParam\x12\x12\n\x06\x62order\x18\t \x01(\x02:\x02\x33\x30\x12\x1b\n\rtarget_thresh\x18\n \x01(\x02:\x04\x30.65\x12\x1b\n\x0c\x63orrect_type\x18\x0b \x01(\x08:\x05\x66\x61lse\x12?\n\x0ctarget_param\x18\x0c \x01(\x0b\x32).apollo.perception.camera.omt.TargetParam\x12!\n\x15min_init_height_ratio\x18\r \x01(\x02:\x02\x31\x37\x12)\n\x1ctarget_combine_iou_threshold\x18\x0e \x01(\x02:\x03\x30.5\x12\"\n\x14\x66usion_target_thresh\x18\x0f \x01(\x02:\x04\x30.45\x12\x1e\n\x12image_displacement\x18\x10 \x01(\x02:\x02\x35\x30\x12\x1e\n\x11\x61\x62normal_movement\x18\x11 \x01(\x02:\x03\x30.3\x12\x19\n\x0bsame_ts_eps\x18\x12 \x01(\x01:\x04\x30.05\x12?\n\treference\x18\x13 \x01(\x0b\x32,.apollo.perception.camera.omt.ReferenceParam\x12\x18\n\x10type_change_cost\x18\x14 \x01(\t') ) _KALMANPARAM = _descriptor.Descriptor( name='KalmanParam', full_name='apollo.perception.camera.omt.KalmanParam', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='init_variance', full_name='apollo.perception.camera.omt.KalmanParam.init_variance', index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='process_variance', full_name='apollo.perception.camera.omt.KalmanParam.process_variance', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='measure_variance', full_name='apollo.perception.camera.omt.KalmanParam.measure_variance', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=94, serialized_end=182, ) _TARGETPARAM = _descriptor.Descriptor( name='TargetParam', full_name='apollo.perception.camera.omt.TargetParam', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='velocity_threshold', full_name='apollo.perception.camera.omt.TargetParam.velocity_threshold', index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='velocity_output_delay', full_name='apollo.perception.camera.omt.TargetParam.velocity_output_delay', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='world_center', full_name='apollo.perception.camera.omt.TargetParam.world_center', index=2, number=3, 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, options=None), _descriptor.FieldDescriptor( name='image_center', full_name='apollo.perception.camera.omt.TargetParam.image_center', 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, options=None), _descriptor.FieldDescriptor( name='image_wh_update_rate', full_name='apollo.perception.camera.omt.TargetParam.image_wh_update_rate', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='world_lhw_history', full_name='apollo.perception.camera.omt.TargetParam.world_lhw_history', index=5, number=6, type=5, cpp_type=1, label=1, has_default_value=True, default_value=15, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='height_diff_ratio', full_name='apollo.perception.camera.omt.TargetParam.height_diff_ratio', index=6, number=7, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='world_state_history', full_name='apollo.perception.camera.omt.TargetParam.world_state_history', index=7, number=8, type=5, cpp_type=1, label=1, has_default_value=True, default_value=30, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='min_cached_world_state_history_size', full_name='apollo.perception.camera.omt.TargetParam.min_cached_world_state_history_size', index=8, number=9, type=5, cpp_type=1, label=1, has_default_value=True, default_value=5, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='min_cached_velocity_size', full_name='apollo.perception.camera.omt.TargetParam.min_cached_velocity_size', index=9, number=10, type=5, cpp_type=1, label=1, has_default_value=True, default_value=10, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='min_cached_position_size', full_name='apollo.perception.camera.omt.TargetParam.min_cached_position_size', index=10, number=11, type=5, cpp_type=1, label=1, has_default_value=True, default_value=25, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='calc_avg_position_window_size', full_name='apollo.perception.camera.omt.TargetParam.calc_avg_position_window_size', index=11, number=12, type=5, cpp_type=1, label=1, has_default_value=True, default_value=7, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='static_speed_threshold', full_name='apollo.perception.camera.omt.TargetParam.static_speed_threshold', index=12, number=13, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='static_speed_threshold_ped', full_name='apollo.perception.camera.omt.TargetParam.static_speed_threshold_ped', index=13, number=14, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.3), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='min_moving_avg_speed', full_name='apollo.perception.camera.omt.TargetParam.min_moving_avg_speed', index=14, number=15, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='min_moving_avg_speed_ped', full_name='apollo.perception.camera.omt.TargetParam.min_moving_avg_speed_ped', index=15, number=16, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='abnormal_acc_threshold', full_name='apollo.perception.camera.omt.TargetParam.abnormal_acc_threshold', index=16, number=17, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(6), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='abnormal_acc_threshold_ped', full_name='apollo.perception.camera.omt.TargetParam.abnormal_acc_threshold_ped', index=17, number=18, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(3), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='abnormal_velocity_heading_angle_threshold', full_name='apollo.perception.camera.omt.TargetParam.abnormal_velocity_heading_angle_threshold', index=18, number=19, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.7854), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='clapping_velocity', full_name='apollo.perception.camera.omt.TargetParam.clapping_velocity', index=19, number=20, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='world_mean_velocity_duration', full_name='apollo.perception.camera.omt.TargetParam.world_mean_velocity_duration', index=20, number=21, type=5, cpp_type=1, label=1, has_default_value=True, default_value=10, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='tracked_life', full_name='apollo.perception.camera.omt.TargetParam.tracked_life', index=21, number=22, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='type_filter_var', full_name='apollo.perception.camera.omt.TargetParam.type_filter_var', index=22, number=23, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.3), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='large_velocity_ratio', full_name='apollo.perception.camera.omt.TargetParam.large_velocity_ratio', index=23, number=24, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(2.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='too_large_velocity_ratio', full_name='apollo.perception.camera.omt.TargetParam.too_large_velocity_ratio', index=24, number=25, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(1.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='mean_filter_window', full_name='apollo.perception.camera.omt.TargetParam.mean_filter_window', index=25, number=26, type=5, cpp_type=1, label=1, has_default_value=True, default_value=10, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='direction_filter_ratio', full_name='apollo.perception.camera.omt.TargetParam.direction_filter_ratio', index=26, number=27, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.7), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='displacement_theta_var', full_name='apollo.perception.camera.omt.TargetParam.displacement_theta_var', index=27, number=28, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.25), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='velocity_theta_var', full_name='apollo.perception.camera.omt.TargetParam.velocity_theta_var', index=28, number=29, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='stable_moving_speed', full_name='apollo.perception.camera.omt.TargetParam.stable_moving_speed', index=29, number=30, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=185, serialized_end=1345, ) _REFERENCEPARAM = _descriptor.Descriptor( name='ReferenceParam', full_name='apollo.perception.camera.omt.ReferenceParam', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='margin', full_name='apollo.perception.camera.omt.ReferenceParam.margin', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='min_allow_height', full_name='apollo.perception.camera.omt.ReferenceParam.min_allow_height', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=50, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='area_decay', full_name='apollo.perception.camera.omt.ReferenceParam.area_decay', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.99), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='down_sampling', full_name='apollo.perception.camera.omt.ReferenceParam.down_sampling', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=True, default_value=40, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='height_diff_ratio', full_name='apollo.perception.camera.omt.ReferenceParam.height_diff_ratio', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1348, serialized_end=1498, ) _WEIGHTPARAM = _descriptor.Descriptor( name='WeightParam', full_name='apollo.perception.camera.omt.WeightParam', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='appearance', full_name='apollo.perception.camera.omt.WeightParam.appearance', index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='motion', full_name='apollo.perception.camera.omt.WeightParam.motion', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='shape', full_name='apollo.perception.camera.omt.WeightParam.shape', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='tracklet', full_name='apollo.perception.camera.omt.WeightParam.tracklet', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='overlap', full_name='apollo.perception.camera.omt.WeightParam.overlap', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1500, serialized_end=1614, ) _OMTPARAM = _descriptor.Descriptor( name='OmtParam', full_name='apollo.perception.camera.omt.OmtParam', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='img_capability', full_name='apollo.perception.camera.omt.OmtParam.img_capability', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=True, default_value=7, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='lost_age', full_name='apollo.perception.camera.omt.OmtParam.lost_age', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='reserve_age', full_name='apollo.perception.camera.omt.OmtParam.reserve_age', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='weight_same_camera', full_name='apollo.perception.camera.omt.OmtParam.weight_same_camera', 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, options=None), _descriptor.FieldDescriptor( name='weight_diff_camera', full_name='apollo.perception.camera.omt.OmtParam.weight_diff_camera', index=4, number=5, 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, options=None), _descriptor.FieldDescriptor( name='border', full_name='apollo.perception.camera.omt.OmtParam.border', index=5, number=9, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(30), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='target_thresh', full_name='apollo.perception.camera.omt.OmtParam.target_thresh', index=6, number=10, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.65), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='correct_type', full_name='apollo.perception.camera.omt.OmtParam.correct_type', index=7, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='target_param', full_name='apollo.perception.camera.omt.OmtParam.target_param', index=8, number=12, 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, options=None), _descriptor.FieldDescriptor( name='min_init_height_ratio', full_name='apollo.perception.camera.omt.OmtParam.min_init_height_ratio', index=9, number=13, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(17), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='target_combine_iou_threshold', full_name='apollo.perception.camera.omt.OmtParam.target_combine_iou_threshold', index=10, number=14, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='fusion_target_thresh', full_name='apollo.perception.camera.omt.OmtParam.fusion_target_thresh', index=11, number=15, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.45), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='image_displacement', full_name='apollo.perception.camera.omt.OmtParam.image_displacement', index=12, number=16, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(50), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='abnormal_movement', full_name='apollo.perception.camera.omt.OmtParam.abnormal_movement', index=13, number=17, type=2, cpp_type=6, label=1, has_default_value=True, default_value=float(0.3), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='same_ts_eps', full_name='apollo.perception.camera.omt.OmtParam.same_ts_eps', index=14, number=18, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.05), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='reference', full_name='apollo.perception.camera.omt.OmtParam.reference', index=15, number=19, 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, options=None), _descriptor.FieldDescriptor( name='type_change_cost', full_name='apollo.perception.camera.omt.OmtParam.type_change_cost', index=16, number=20, 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, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1617, serialized_end=2280, ) _TARGETPARAM.fields_by_name['world_center'].message_type = _KALMANPARAM _TARGETPARAM.fields_by_name['image_center'].message_type = _KALMANPARAM _OMTPARAM.fields_by_name['weight_same_camera'].message_type = _WEIGHTPARAM _OMTPARAM.fields_by_name['weight_diff_camera'].message_type = _WEIGHTPARAM _OMTPARAM.fields_by_name['target_param'].message_type = _TARGETPARAM _OMTPARAM.fields_by_name['reference'].message_type = _REFERENCEPARAM DESCRIPTOR.message_types_by_name['KalmanParam'] = _KALMANPARAM DESCRIPTOR.message_types_by_name['TargetParam'] = _TARGETPARAM DESCRIPTOR.message_types_by_name['ReferenceParam'] = _REFERENCEPARAM DESCRIPTOR.message_types_by_name['WeightParam'] = _WEIGHTPARAM DESCRIPTOR.message_types_by_name['OmtParam'] = _OMTPARAM _sym_db.RegisterFileDescriptor(DESCRIPTOR) KalmanParam = _reflection.GeneratedProtocolMessageType('KalmanParam', (_message.Message,), dict( DESCRIPTOR = _KALMANPARAM, __module__ = 'modules.perception.camera.lib.obstacle.tracker.omt.omt_pb2' # @@protoc_insertion_point(class_scope:apollo.perception.camera.omt.KalmanParam) )) _sym_db.RegisterMessage(KalmanParam) TargetParam = _reflection.GeneratedProtocolMessageType('TargetParam', (_message.Message,), dict( DESCRIPTOR = _TARGETPARAM, __module__ = 'modules.perception.camera.lib.obstacle.tracker.omt.omt_pb2' # @@protoc_insertion_point(class_scope:apollo.perception.camera.omt.TargetParam) )) _sym_db.RegisterMessage(TargetParam) ReferenceParam = _reflection.GeneratedProtocolMessageType('ReferenceParam', (_message.Message,), dict( DESCRIPTOR = _REFERENCEPARAM, __module__ = 'modules.perception.camera.lib.obstacle.tracker.omt.omt_pb2' # @@protoc_insertion_point(class_scope:apollo.perception.camera.omt.ReferenceParam) )) _sym_db.RegisterMessage(ReferenceParam) WeightParam = _reflection.GeneratedProtocolMessageType('WeightParam', (_message.Message,), dict( DESCRIPTOR = _WEIGHTPARAM, __module__ = 'modules.perception.camera.lib.obstacle.tracker.omt.omt_pb2' # @@protoc_insertion_point(class_scope:apollo.perception.camera.omt.WeightParam) )) _sym_db.RegisterMessage(WeightParam) OmtParam = _reflection.GeneratedProtocolMessageType('OmtParam', (_message.Message,), dict( DESCRIPTOR = _OMTPARAM, __module__ = 'modules.perception.camera.lib.obstacle.tracker.omt.omt_pb2' # @@protoc_insertion_point(class_scope:apollo.perception.camera.omt.OmtParam) )) _sym_db.RegisterMessage(OmtParam) # @@protoc_insertion_point(module_scope)

51.554295

3,967

0.746455

4,435

31,809

5.089741

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0.660524

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51.637987

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null

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1

0

1

0

null

0

4

460313ea7617ccef361a73b296544463d3919eca

71

py

Python

app/main/__init__.py

NickPTaylor/imbtools

2874c0cdaea311c3559a3634c9f383d81fde8a06

[ "MIT" ]

null

app/main/__init__.py

NickPTaylor/imbtools

2874c0cdaea311c3559a3634c9f383d81fde8a06

[ "MIT" ]

8

2020-03-24T16:40:22.000Z

2022-03-11T23:42:36.000Z

app/main/__init__.py

NickPTaylor/imbtools

2874c0cdaea311c3559a3634c9f383d81fde8a06

[ "MIT" ]

null

""" Blueprint for main content. """ from .routes import BP as MAIN_BP

11.833333

33

0.704225

11

71

4.454545

0.818182

0

0.183099

71

5

34

14.2

0.844828

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0

1

0

true

0

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null

0

1

0

null

0

1

0

1

0

4

460c2c74c426a5b31c563388767c31e670968fe7

166

py

Python

Bitlock manager/Payload.py

jsangli3r/Bitlock

8101a0e4446eec5d7bb2711bcf915a68c09e4191

[ "MIT" ]

null

Bitlock manager/Payload.py

jsangli3r/Bitlock

8101a0e4446eec5d7bb2711bcf915a68c09e4191

[ "MIT" ]

null

Bitlock manager/Payload.py

jsangli3r/Bitlock

8101a0e4446eec5d7bb2711bcf915a68c09e4191

[ "MIT" ]

null

class Payload: def __init__(self, website, username, password): self.website = website self.username = username self.password = password

23.714286

52

0.650602

17

166

6.117647

0.470588

0.211538

0

0.271084

166

6

53

27.666667

0.859504

0

1

0.2

false

0.4

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null

1

0

1

0

null

0

1

0

4

1cc3a8bdfde4d303fa57b73436b3629dc0fb17f4

2,460

py

Python

tests/boardfarm_plugins/boardfarm_prplmesh/devices/prplmesh_base.py

SWRT-dev/easymesh

12d902edde77599e074c0535f7256499b08f7494

[ "BSD-3-Clause", "BSD-2-Clause-Patent", "MIT" ]

null

tests/boardfarm_plugins/boardfarm_prplmesh/devices/prplmesh_base.py

SWRT-dev/easymesh

12d902edde77599e074c0535f7256499b08f7494

[ "BSD-3-Clause", "BSD-2-Clause-Patent", "MIT" ]

null

tests/boardfarm_plugins/boardfarm_prplmesh/devices/prplmesh_base.py

SWRT-dev/easymesh

12d902edde77599e074c0535f7256499b08f7494

[ "BSD-3-Clause", "BSD-2-Clause-Patent", "MIT" ]

null

# SPDX-License-Identifier: BSD-2-Clause-Patent # SPDX-FileCopyrightText: 2020 the prplMesh contributors (see AUTHORS.md) # This code is subject to the terms of the BSD+Patent license. # See LICENSE file for more details. import pexpect from typing import Dict from boardfarm.devices import linux from environment import ALEntity class CommandError(Exception): """Raised on failed execution""" pass class PrplMeshBase(linux.LinuxDevice): """PrplMesh abstract device.""" def _run_shell_cmd(self, cmd: str = "", args: list = None, timeout: int = 30, env: Dict[str, str] = None): """Wrapper that executes command with specified args on host machine and logs output.""" args = args or [] res, exitstatus = pexpect.run(cmd, args=args, timeout=timeout, encoding="utf-8", withexitstatus=1, env=env) entry = " ".join((cmd, " ".join(args))) if exitstatus != 0: raise CommandError("Error executing {}:\n{}".format(entry, res)) self.log_calls += entry self.log += "$ " + entry + "\r\n" + res def check_status(self): """Method required by boardfarm. It is used by boardfarm to indicate that spawned device instance is ready for test and also after test - to insure that device still operational. Currently always returns True. """ # TODO: enable actual check # entity = self.get_active_entity() # entity.ucc_socket.cmd_reply("device_get_info") return True def close(self): """Method required by boardfarm. Purpose is to close connection to device's consoles. """ self.copy_logs() def isalive(self): """Method required by boardfarm. States that device is operational and its consoles are accessible. """ pass def touch(self): """Method required by boardfarm. Purpose is to keep consoles active, so they don't disconnect for long running activities. """ pass def get_active_entity(self) -> ALEntity: """Returns the active ALEntityDocker instance based on the class role so the entity call can be abstracted""" if self.role == "controller": return self.controller_entity return self.agent_entity def copy_logs(self): """Copy logs from the device""" pass

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97

0.624797

301

2,460

5.049834

0.511628

0.036184

0.047368

0.052632

0.090789

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0

0.005666

0.28252

2,460

83

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0.225806

false

0.129032

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0.516129

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null

0

null

0

1

0

1

0

1

0

1

0

4

1cd0cdeac91ff9089f9855295cd22aaa3b411ea3

87

py

Python

egyszer/parsers.py

fogasl/egyszer

e82a5f92afe10b79b3b106dcb79a3ce2a67d09f2

[ "BSD-3-Clause" ]

null

egyszer/parsers.py

fogasl/egyszer

e82a5f92afe10b79b3b106dcb79a3ce2a67d09f2

[ "BSD-3-Clause" ]

null

egyszer/parsers.py

fogasl/egyszer

e82a5f92afe10b79b3b106dcb79a3ce2a67d09f2

[ "BSD-3-Clause" ]

null

"""Metadata and other parsers. """ class Parser: def __init__(self): pass

12.428571

30

0.609195

10

87

4.9

1

0

0.264368

87

6

31

14.5

0.765625

0.310345

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1ce15fe9975622b3f955ee2783bad087279f93ee

145

py

Python

utils/is-sorted.py

9andresc/dena

9315905c7e597344fa2c33773bf875cdaf38021f

[ "MIT" ]

null

utils/is-sorted.py

9andresc/dena

9315905c7e597344fa2c33773bf875cdaf38021f

[ "MIT" ]

18

2019-01-24T21:19:11.000Z

2019-02-08T19:25:49.000Z

utils/is-sorted.py

9andresc/dsna

9315905c7e597344fa2c33773bf875cdaf38021f

[ "MIT" ]

null

def is_sorted(items): """Checks whether the list is sorted or not""" return all(items[i] <= items[i + 1] for i in range(len(items) - 1))

36.25

71

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145

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0.175824

0

0.017391

0.206897

145

3

72

48.333333

0.773913

0.275862

0

1

0.5

false

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1ceeec1ef0eb82342141d80b583775dbefad90d0

127

py

Python

django_odesk/auth/__init__.py

reputation/django-odesk

1353ead0b0f37ba530787fdd46ac8e937fde4226

[ "BSD-3-Clause" ]

null

django_odesk/auth/__init__.py

reputation/django-odesk

1353ead0b0f37ba530787fdd46ac8e937fde4226

[ "BSD-3-Clause" ]

1

2020-02-21T16:05:04.000Z

django_odesk/auth/__init__.py

reputation/django-odesk

1353ead0b0f37ba530787fdd46ac8e937fde4226

[ "BSD-3-Clause" ]

1

2019-09-01T09:25:16.000Z

ODESK_REDIRECT_SESSION_KEY = '_odesk_redirect_url' ODESK_TOKEN_SESSION_KEY = '_odesk_api_token' ENCRYPTION_KEY_NAME = 'oekey'

25.4

50

0.850394

18

127

5.222222

0.555556

0.276596

0.319149

0

0.07874

127

4

51

31.75

0.803419

0

0.314961

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

e82288423832809114e8f1e7262eb4bc3edfe598

134

py

Python

tmake.py

tomken/tmake

ee4f2c709a3e021fb04427bd7ae72f99d2714176

[ "MIT" ]

2

2020-01-11T04:26:27.000Z

2022-01-10T06:35:22.000Z

tmake.py

tomken/tmake

ee4f2c709a3e021fb04427bd7ae72f99d2714176

[ "MIT" ]

null

tmake.py

tomken/tmake

ee4f2c709a3e021fb04427bd7ae72f99d2714176

[ "MIT" ]

1

2020-04-25T01:06:39.000Z

#!/usr/bin/python2 # -*- coding: UTF-8 -*- import core if __name__ == "__main__": TMAKE_MAIN = core.Main() TMAKE_MAIN.run()

14.888889

28

0.61194

18

134

4

0.722222

0.25

0.361111

0

0.018519

0.19403

134

8

29

16.75

0.648148

0.291045

0

0.086022

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

4

e82cc026787ad3f4ea5d3f402fb78c6e968b4626

53

py

Python

projects/authorization.py

RENCI-NRIG/notary-service

5d519d925d011004aefd6a4acdfc8565f5b76a94

[ "MIT" ]

8

2019-05-27T23:00:18.000Z

2022-03-01T11:10:39.000Z

projects/authorization.py

RENCI-NRIG/notary-service

f8b3ed91f9ea4e36ba007a3eaac7373905475a37

[ "MIT" ]

52

2018-10-12T18:59:43.000Z

2022-03-28T21:16:35.000Z

projects/authorization.py

RENCI-NRIG/notary-service

5d519d925d011004aefd6a4acdfc8565f5b76a94

[ "MIT" ]

1

2020-04-30T19:34:54.000Z

# placeholder for project based authorization checks

26.5

52

0.849057

6

53

7.5

1

0

0.132075

53

1

53

0.978261

0.943396

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

1c1dc11c579b236ee029b61ce5590e1b1d238476

173

py

Python

dropbox_app/__init__.py

manish001in/custom-zapier-cli

00fe865b0ad0d06d4a18388011a1b1ff9f2c72a2

[ "MIT" ]

null

dropbox_app/__init__.py

manish001in/custom-zapier-cli

00fe865b0ad0d06d4a18388011a1b1ff9f2c72a2

[ "MIT" ]

null

dropbox_app/__init__.py

manish001in/custom-zapier-cli

00fe865b0ad0d06d4a18388011a1b1ff9f2c72a2

[ "MIT" ]

null

from django.conf import settings import os DOWNLOADS_DIR = settings.BASE_DIR+'/downloads/dropbox_app/' if not os.path.exists(DOWNLOADS_DIR): os.makedirs(DOWNLOADS_DIR)

24.714286

59

0.797688

26

173

5.115385

0.615385

0.270677

0

0.104046

173

7

60

24.714286

0.858065

0

0.132184

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

4

1c25288aa73f5f5426227115485c987c693844c3

3,234

py

Python

test/find_exe.py

stormrust/wabtest

e7266f7576a70f4b50782a21dc3d0969ed7b0c26

[ "Apache-2.0" ]

null

test/find_exe.py

stormrust/wabtest

e7266f7576a70f4b50782a21dc3d0969ed7b0c26

[ "Apache-2.0" ]

null

test/find_exe.py

stormrust/wabtest

e7266f7576a70f4b50782a21dc3d0969ed7b0c26

[ "Apache-2.0" ]

2

2021-07-08T18:47:43.000Z

2021-07-08T20:17:58.000Z

#!/usr/bin/env python3 # # Copyright 2016 WebAssembly Community Group participants # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import os import sys from utils import Error IS_WINDOWS = sys.platform == 'win32' SCRIPT_DIR = '/mia/wabt/' REPO_ROOT_DIR = os.path.dirname(SCRIPT_DIR) EXECUTABLES = [ 'wat2wasm', 'wast2json', 'wasm2wat', 'wasm-objdump', 'wasm-interp', 'wasm-opcodecnt', 'wat-desugar', 'spectest-interp', 'wasm-validate', 'wasm2c', 'wasm-strip', 'wasm-decompile' ] def GetDefaultPath(): return os.path.join(REPO_ROOT_DIR, 'bin') def GetDefaultExe(basename): result = os.path.join(GetDefaultPath(), basename) if IS_WINDOWS: result += '.exe' return result def FindExeWithFallback(name, default_exe_list, override_exe=None): result = override_exe if result is not None: if os.path.isdir(result): result = os.path.join(result, name) if IS_WINDOWS and os.path.splitext(result)[1] != '.exe': result += '.exe' if os.path.exists(result): return os.path.abspath(result) raise Error('%s executable not found.\nsearch path: %s\n' % (name, result)) for result in default_exe_list: if os.path.exists(result): return os.path.abspath(result) raise Error('%s executable not found.\n%s\n' % (name, '\n'.join('search path: %s' % path for path in default_exe_list))) def FindExecutable(basename, override=None): return FindExeWithFallback(basename, [GetDefaultExe(basename)], override) def GetWat2WasmExecutable(override=None): return FindExecutable('wat2wasm', override) def GetWast2JsonExecutable(override=None): return FindExecutable('wast2json', override) def GetWasm2WatExecutable(override=None): return FindExecutable('wasm2wat', override) def GetWasmdumpExecutable(override=None): return FindExecutable('wasm-objdump', override) def GetWasmInterpExecutable(override=None): return FindExecutable('wasm-interp', override) def GetSpectestInterpExecutable(override=None): return FindExecutable('spectest-interp', override) def GetWasmOpcodeCntExecutable(override=None): return FindExecutable('wasm-opcodecnt', override) def GetWatDesugarExecutable(override=None): return FindExecutable('wat-desugar', override) def GetWasmValidateExecutable(override=None): return FindExecutable('wasm-validate', override) def GetWasm2CExecutable(override=None): return FindExecutable('wasm2c', override) def GetWasmStripExecutable(override=None): return FindExecutable('wasm-strip', override) def GetWasmDecompileExecutable(override=None): return FindExecutable('wasm-decompile', override)

28.368421

83

0.719233

383

3,234

6.028721

0.368146

0.067562

0.101343

0.166306

0.157644

0.064097

0

0.008949

0.170686

3,234

113

84

28.619469

0.851976

0.18522

0

0.1

0

0.145857

0

1

0.266667

false

0

0.05

0.233333

0.6

0

null

0

1

0

null

0

1

0

1

0

4

1c4191007d0a6c4b0419d38678ca62d430bd0f52

184

py

Python

Scripts/django-admin.py

dragonrathony/zed_market

c73f17501608c8fe86692c3c4f6e03fc8ba03286

[ "bzip2-1.0.6" ]

1

2020-06-17T13:45:54.000Z

Scripts/django-admin.py

Honey4251996/zed_market

c73f17501608c8fe86692c3c4f6e03fc8ba03286

[ "bzip2-1.0.6" ]

11

2021-03-19T07:55:39.000Z

2022-03-12T00:34:55.000Z

Scripts/django-admin.py

Honey4251996/zed_market

c73f17501608c8fe86692c3c4f6e03fc8ba03286

[ "bzip2-1.0.6" ]

null

#!d:\projects\eric\python\django\zed-market\dev\zed-market\scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()

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1c494530de31aff8b8204b0ef28d50b5b3cad91c

113

py

Python

tcex/sessions/__init__.py

brikardtc/tcex

78680f055f4259e31f0b4989a5695604108d9fdd

[ "Apache-2.0" ]

null

tcex/sessions/__init__.py

brikardtc/tcex

78680f055f4259e31f0b4989a5695604108d9fdd

[ "Apache-2.0" ]

null

tcex/sessions/__init__.py

brikardtc/tcex

78680f055f4259e31f0b4989a5695604108d9fdd

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """Session module for TcEx Framework""" # flake8: noqa from .tc_session import TcSession

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1c51b88e6ff165d752c3979486af2dc3c39b6205

230

py

Python

src/data/descriptions/sample/params.py

dmitry-s-danilov/kaggle-house-prices-advanced-regression-techniques

ab5130ea6d5b1c7373a886b9289cf0fde4f7c27d

[ "MIT" ]

1

2022-02-08T11:54:16.000Z

src/data/descriptions/sample/params.py

dmitry-s-danilov/kaggle-house-prices-advanced-regression-techniques

ab5130ea6d5b1c7373a886b9289cf0fde4f7c27d

[ "MIT" ]

null

src/data/descriptions/sample/params.py

dmitry-s-danilov/kaggle-house-prices-advanced-regression-techniques

ab5130ea6d5b1c7373a886b9289cf0fde4f7c27d

[ "MIT" ]

null

n = (3, 6, 3) transformers = [ lambda _: _.transpose(), lambda _: _.rename_axis( mapper='variable', axis='index', ), lambda _: _.rename_axis( mapper='id', axis='columns', ), ]

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py

Python

src/compas/geometry/_core/angles.py

Sam-Bouten/compas

011c7779ded9b69bb602568b470bb0443e336f62

[ "MIT" ]

null

src/compas/geometry/_core/angles.py

Sam-Bouten/compas

011c7779ded9b69bb602568b470bb0443e336f62

[ "MIT" ]

null

src/compas/geometry/_core/angles.py

Sam-Bouten/compas

011c7779ded9b69bb602568b470bb0443e336f62

[ "MIT" ]

null

from __future__ import print_function from __future__ import absolute_import from __future__ import division from math import pi from math import degrees from math import acos from compas.geometry._core import subtract_vectors from compas.geometry._core import subtract_vectors_xy from compas.geometry._core import dot_vectors from compas.geometry._core import dot_vectors_xy from compas.geometry._core import length_vector from compas.geometry._core import length_vector_xy from compas.geometry._core import cross_vectors __all__ = [ 'angles_vectors', 'angles_vectors_xy', 'angles_vectors', 'angles_vectors_xy', 'angles_points', 'angles_points_xy', 'angle_vectors', 'angle_vectors_signed', 'angle_vectors_xy', 'angle_points', 'angle_points_xy', 'angle_planes', ] def angle_vectors(u, v, deg=False, tol=0.0): """Compute the smallest angle between two vectors. Parameters ---------- u : [float, float, float] | :class:`compas.geometry.Vector` XYZ components of the first vector. v : [float, float, float] | :class:`compas.geometry.Vector` XYZ components of the second vector. deg : bool, optional If True, returns the angle in degrees. tol : float, optional Tolerance for the length of the vectors. Returns ------- float The smallest angle in radians (in degrees if ``deg == True``). The angle is always positive. Examples -------- >>> angle_vectors([0.0, 1.0, 0.0], [1.0, 0.0, 0.0]) 1.57079 """ L = length_vector(u) * length_vector(v) if tol and L < tol: return 0 a = dot_vectors(u, v) / L a = max(min(a, 1), -1) if deg: return degrees(acos(a)) return acos(a) def angle_vectors_signed(u, v, normal, deg=False, threshold=1e-3): """Computes the signed angle between two vectors. It calculates the angle such that rotating vector u about the normal by angle would result in a vector that looks into the same direction as v. Parameters ---------- u : [float, float, float] | :class:`compas.geometry.Vector` XYZ components of the first vector. v : [float, float, float] | :class:`compas.geometry.Vector` XYZ components of the second vector. normal : [float, float, float] | :class:`compas.geometry.Vector` XYZ components of the plane's normal spanned by u and v. deg : bool, optional If True, returns the angle in degrees. threshold : float, optional The threshold (radians) used to consider if the angle is zero. Returns ------- float The signed angle in radians (in degrees if deg == True). Examples -------- >>> normal = [0.0, 0.0, 1.0] >>> angle_vectors_signed([0.0, 1.0, 0.0], [1.0, 0.0, 0.0], normal) -1.57079 """ angle = angle_vectors(u, v) normal_uv = cross_vectors(u, v) if length_vector(normal_uv) > threshold: # check if normal_uv has the same direction as normal angle_btw_normals = angle_vectors(normal, normal_uv) if angle_btw_normals > threshold: angle *= -1 if deg: return degrees(angle) else: return angle def angle_vectors_xy(u, v, deg=False, tol=1e-4): """Compute the smallest angle between the XY components of two vectors. Parameters ---------- u : [float, float] or [float, float, float] | :class:`compas.geometry.Vector` The first 2D or 3D vector (Z will be ignored). v : [float, float] or [float, float, float] | :class:`compas.geometry.Vector` The second 2D or 3D vector (Z will be ignored). deg : bool, optional If True, returns the angle in degrees. tol : float, optional Tolerance for the length of the vectors. Returns ------- float The smallest angle in radians (in degrees if ``deg == True``). The angle is always positive. Examples -------- >>> """ L = length_vector_xy(u) * length_vector_xy(v) if L < tol: return 0 a = dot_vectors_xy(u, v) / L a = max(min(a, 1), -1) if deg: return degrees(acos(a)) return acos(a) def angle_points(a, b, c, deg=False): r"""Compute the smallest angle between the vectors defined by three points. Parameters ---------- a : [float, float, float] | :class:`compas.geometry.Point` XYZ coordinates. b : [float, float, float] | :class:`compas.geometry.Point` XYZ coordinates. c : [float, float, float] | :class:`compas.geometry.Point` XYZ coordinates. deg : bool, optional If True, returns the angle in degrees. Returns ------- float The smallest angle in radians (in degrees if ``deg == True``). The angle is always positive. Notes ----- The vectors are defined in the following way .. math:: \mathbf{u} = \mathbf{b} - \mathbf{a} \\ \mathbf{v} = \mathbf{c} - \mathbf{a} Z components may be provided, but are simply ignored. """ u = subtract_vectors(b, a) v = subtract_vectors(c, a) return angle_vectors(u, v, deg) def angle_points_xy(a, b, c, deg=False): r"""Compute the smallest angle between the vectors defined by the XY components of three points. Parameters ---------- a : [float, float] or [float, float, float] | :class:`compas.geometry.Point` XY(Z) coordinates of a 2D or 3D point (Z will be ignored). b : [float, float] or [float, float, float] | :class:`compas.geometry.Point` XY(Z) coordinates of a 2D or 3D point (Z will be ignored). c : [float, float] or [float, float, float] | :class:`compas.geometry.Point` XY(Z) coordinates of a 2D or 3D point (Z will be ignored). deg : bool, optional If True, returns the angle in degrees. Returns ------- float The smallest angle in radians (in degrees if ``deg == True``). The angle is always positive. Notes ----- The vectors are defined in the following way .. math:: \mathbf{u} = \mathbf{b} - \mathbf{a} \\ \mathbf{v} = \mathbf{c} - \mathbf{a} Z components may be provided, but are simply ignored. """ u = subtract_vectors_xy(b, a) v = subtract_vectors_xy(c, a) return angle_vectors_xy(u, v, deg) def angles_vectors(u, v, deg=False): """Compute the the 2 angles formed by a pair of vectors. Parameters ---------- u : [float, float, float] | :class:`compas.geometry.Vector` XYZ components of the first vector. v : [float, float, float] | :class:`compas.geometry.Vector` XYZ components of the second vector. deg : bool, optional If True, returns the angle in degrees. Returns ------- float The smallest angle in radians, or in degrees if ``deg == True``. float The other angle. Examples -------- >>> """ if deg: a = angle_vectors(u, v, deg) return a, 360. - a a = angle_vectors(u, v) return a, pi * 2 - a def angles_vectors_xy(u, v, deg=False): """Compute the angles between the XY components of two vectors. Parameters ---------- u : [float, float] or [float, float, float] | :class:`compas.geometry.Vector` XY(Z) coordinates of the first vector. v : [float, float] or [float, float, float] | :class:`compas.geometry.Vector` XY(Z) coordinates of the second vector. deg : bool, optional If True, returns the angle in degrees. Returns ------- float The smallest angle in radians, or in degrees if ``deg == True``. float The other angle. Notes ----- Z components may be provided, but are simply ignored. Examples -------- >>> """ if deg: a = angle_vectors_xy(u, v, deg) return a, 360. - a a = angle_vectors_xy(u, v) return a, pi * 2 - a def angles_points(a, b, c, deg=False): r"""Compute the two angles between two vectors defined by three points. Parameters ---------- a : [float, float, float] | :class:`compas.geometry.Point` XYZ coordinates. b : [float, float, float] | :class:`compas.geometry.Point` XYZ coordinates. c : [float, float, float] | :class:`compas.geometry.Point` XYZ coordinates. deg : bool, optional If True, returns the angle in degrees. Returns ------- float The smallest angle in radians, or in degrees if ``deg == True``. float The other angle. Notes ----- The vectors are defined in the following way .. math:: \mathbf{u} = \mathbf{b} - \mathbf{a} \\ \mathbf{v} = \mathbf{c} - \mathbf{a} Examples -------- >>> """ u = subtract_vectors(b, a) v = subtract_vectors(c, a) return angles_vectors(u, v, deg) def angles_points_xy(a, b, c, deg=False): r"""Compute the two angles between the two vectors defined by the XY components of three points. Parameters ---------- a : [float, float] or [float, float, float] | :class:`compas.geometry.Point` XY(Z) coordinates. b : [float, float] or [float, float, float] | :class:`compas.geometry.Point` XY(Z) coordinates. c : [float, float] or [float, float, float] | :class:`compas.geometry.Point` XY(Z) coordinates. deg : bool, optional If True, returns the angle in degrees. Returns ------- float The smallest angle in radians, or in degrees if ``deg == True``. float The other angle. Notes ----- The vectors are defined in the following way .. math:: \mathbf{u} = \mathbf{b} - \mathbf{a} \\ \mathbf{v} = \mathbf{c} - \mathbf{a} Z components may be provided, but are simply ignored. Examples -------- >>> """ u = subtract_vectors_xy(b, a) v = subtract_vectors_xy(c, a) return angles_vectors_xy(u, v, deg) def angle_planes(a, b, deg=False): """Compute the smallest angle between the two normal vectors of two planes. Parameters ---------- a : [point, vector] | :class:`compas.geometry.Plane` The first plane. b : [point, vector] | :class:`compas.geometry.Plane` The second plane. deg : bool, optional If True, returns the angle in degrees. Returns ------- float The smallest angle in radians, or in degrees if ``deg == True``. float The other angle. Examples -------- >>> plane_a = [0.0, 0.0, 0.0], [0.0, 0.0, 1.0] >>> plane_b = [0.0, 0.0, 0.0], [1.0, 0.0, 0.0] >>> angle_planes(plane_a, plane_b, True) 90.0 """ return angle_vectors(a[1], b[1], deg)

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1c7921d31387fd08d75da3ab52581f5fe52b0ebe

82,391

py

Python

src/gluonnlp/embedding/_constants.py

leezu/gluon-nlp

19de74c2b03f22dde8311a0225b4571c2deef0e4

[ "Apache-2.0" ]

2,461

2018-04-25T03:47:22.000Z

2022-03-31T03:58:48.000Z

src/gluonnlp/embedding/_constants.py

leezu/gluon-nlp

19de74c2b03f22dde8311a0225b4571c2deef0e4

[ "Apache-2.0" ]

1,450

2018-04-25T16:14:25.000Z

2022-02-24T21:02:57.000Z

src/gluonnlp/embedding/_constants.py

leezu/gluon-nlp

19de74c2b03f22dde8311a0225b4571c2deef0e4

[ "Apache-2.0" ]

578

2018-04-25T04:55:18.000Z

2022-03-16T03:01:45.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. # pylint: disable=too-many-lines """Constants.""" GLOVE_NPZ_SHA1 = \ {'glove.42B.300d': ('glove.42B.300d.npz', '7deee8f4860744db53ed9e50892effe9883e6d89'), 'glove.6B.100d': ('glove.6B.100d.npz', '01f80f202fcabcc3e0804898349087bfc191dd1c'), 'glove.6B.200d': ('glove.6B.200d.npz', '5e6e2bdab346c257f88d80d215d518e680d86e32'), 'glove.6B.300d': ('glove.6B.300d.npz', '1db264aa936be62f055dfb72854204450bdf4399'), 'glove.6B.50d': ('glove.6B.50d.npz', 'aa16be8d184399d2199f83fd62586f2c30497bfa'), 'glove.840B.300d': ('glove.840B.300d.npz', 'b4ba390c1154736e07c0e67d9180935f5930e83c'), 'glove.twitter.27B.100d': ('glove.twitter.27B.100d.npz', '0f7b82c223451d0002f79ba23596983cdbe0e2b1'), 'glove.twitter.27B.200d': ('glove.twitter.27B.200d.npz', '41cc2d26f58a54622ce96bf6c8434360ab524f20'), 'glove.twitter.27B.25d': ('glove.twitter.27B.25d.npz', '9f563d2f296995598cc46812b2fda05ad4c3c879'), 'glove.twitter.27B.50d': ('glove.twitter.27B.50d.npz', 'ce9959c056f2a0a780c468feeb4f823af51630e9')} WORD2VEC_NPZ_SHA1 = { 'GoogleNews-vectors-negative300': ('GoogleNews-vectors-negative300-be6d6f98.npz', 'be6d6f98609bd65db8f6991ecaed923f1b1c8377'), 'freebase-vectors-skipgram1000-en': ('freebase-vectors-skipgram1000-en-6086803e.npz', '6086803e4fd0b60e12b79031d585ef2c63ca71e6'), 'freebase-vectors-skipgram1000': ('freebase-vectors-skipgram1000-827a5d3a.npz', '827a5d3a777ea3de21be4f61dad4de6510d77ee3') } FAST_TEXT_NPZ_SHA1 = { 'crawl-300d-2M': ('crawl-300d-2M.npz', '9dd611a1fe280c63050cd546d3595400fc0eede4'), 'crawl-300d-2M-subword': ('crawl-300d-2M-subword-927782c8e.npz', '927782c8ec8c2c1deb6a8a550217478e183ca25a'), 'wiki.aa': ('wiki.aa.npz', '48f163b80eb37f1806142169d3d4c05cf75b7339'), 'wiki.ab': ('wiki.ab.npz', '860ceff119dd27e5b701b605879037c1310cbc3e'), 'wiki.ace': ('wiki.ace.npz', '62938287464040491719f56a6f521f8f808beee8'), 'wiki.ady': ('wiki.ady.npz', '646843afa260d018ed711df3f1ca9c3e000447b6'), 'wiki.af': ('wiki.af.npz', '7b14cd27690b67fea318d0bac2283c16430680e2'), 'wiki.ak': ('wiki.ak.npz', '20f309adad1c45958c97b6055d5838e05bbaea72'), 'wiki.als': ('wiki.als.npz', 'a8b03aa133c4f7da12fc27c2b167b7918b1e9805'), 'wiki.am': ('wiki.am.npz', 'ed3dd10cea64737f7a1623612ee099df9dc19f66'), 'wiki.ang': ('wiki.ang.npz', '8efe64706d9d6b8eae38b2c7ff0b277e20592bc7'), 'wiki.an': ('wiki.an.npz', '168046283c719ab96a29b1abae2e25a6575c7be8'), 'wiki.arc': ('wiki.arc.npz', '049021b7decea4bc009b12936e56b4dbf5b760e7'), 'wiki.ar': ('wiki.ar.npz', '7e325e1e98dfcdc9368d2ebe40ee834a2ed44912'), 'wiki.arz': ('wiki.arz.npz', '7d851c2c7be3ee6f7fd896de7b76ea08e3fb08b0'), 'wiki.as': ('wiki.as.npz', '01d38c29cd4bd99c1a8534abc058822da14a5b9c'), 'wiki.ast': ('wiki.ast.npz', '9c9846ba5084505a0adea89c95c66e04efbf5ce9'), 'wiki.av': ('wiki.av.npz', '7ef6a920c364638504e673cfde5f7675503fa81e'), 'wiki.ay': ('wiki.ay.npz', 'c1202e110930e3902397f5cb64a8359e013b469f'), 'wiki.azb': ('wiki.azb.npz', '10351b7ef14ec2cb610d290cb6a3f6987ef5d8b3'), 'wiki.az': ('wiki.az.npz', '74257c3bcd533a606afae509ea835dc036d61546'), 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('cc.hsb.300-2c0e9847.npz', '2c0e9847177614324fd271e9c9fa5524969090e9'), 'cc.ht.300': ('cc.ht.300-3192d8a6.npz', '3192d8a632af0d617d9a9c9e78f4015d0f594131'), 'cc.hu.300': ('cc.hu.300-08a106da.npz', '08a106da56e64d2b8db4306cbacc99086b49659d'), 'cc.hy.300': ('cc.hy.300-935747f2.npz', '935747f2a88dff9edf957723fe4736d6ebcf1d6a'), 'cc.ia.300': ('cc.ia.300-737f4b78.npz', '737f4b78c4fa857a575ea01e6946217b69616ee9'), 'cc.id.300': ('cc.id.300-b50ae07a.npz', 'b50ae07a0663023c3c117305c05b09143a167700'), 'cc.ilo.300': ('cc.ilo.300-02b500a7.npz', '02b500a7e10d206239aa502590ff4768840e29c0'), 'cc.io.300': ('cc.io.300-aaf228a7.npz', 'aaf228a78ce7dc1138181a32011c4d495e383e81'), 'cc.is.300': ('cc.is.300-2f612f20.npz', '2f612f20cfdcd68b5eb46dacef4ba30f00069f55'), 'cc.it.300': ('cc.it.300-5b21ee40.npz', '5b21ee408ab99c35a2bdd25e716975e0b73182ad'), 'cc.ja.300': ('cc.ja.300-89cf6cb7.npz', '89cf6cb70985ca841246139719028103e7a932f8'), 'cc.jv.300': ('cc.jv.300-85d4a52b.npz', '85d4a52b83150aa46ea60887d58e12f5b8fbc732'), 'cc.ka.300': ('cc.ka.300-048778a9.npz', '048778a9ac39f9e4fc2b216f5fe752864c793295'), 'cc.kk.300': ('cc.kk.300-f29ac700.npz', 'f29ac7000778e5adea0c9aa00f11fdcc47386adf'), 'cc.km.300': ('cc.km.300-b9a2073f.npz', 'b9a2073f8d325e49934ac919cbe222ac84ef77af'), 'cc.kn.300': ('cc.kn.300-034e4f17.npz', '034e4f17d08351a890896d9b7d2573a88d0fc230'), 'cc.ko.300': ('cc.ko.300-28e7ae64.npz', '28e7ae64e994b9989f042323ec6f15f5ad7a53d2'), 'cc.ku.300': ('cc.ku.300-82496bfd.npz', '82496bfd5e23f697b17ae4f351c1a13b12f482b5'), 'cc.ky.300': ('cc.ky.300-4efb03dc.npz', '4efb03dc26319fd813edfe7cd1c1f373d134ac97'), 'cc.la.300': ('cc.la.300-8adf2142.npz', '8adf2142b05825aa040d4b96afee9f08b00b94fe'), 'cc.lb.300': ('cc.lb.300-8945d3df.npz', '8945d3dfb24fbe5ac9391aa10296f9a18992c380'), 'cc.li.300': ('cc.li.300-0b6aee43.npz', '0b6aee432ca667db8b06dfb29fd249d00df7a275'), 'cc.lmo.300': ('cc.lmo.300-a02cf032.npz', 'a02cf032a3af3a035bec24b2b225048bf0f86eb5'), 'cc.lt.300': ('cc.lt.300-2b682e7d.npz', '2b682e7d30e739c4090fef65593d29f40f1323f9'), 'cc.lv.300': ('cc.lv.300-c2453825.npz', 'c24538254050ce393b7ed8a018ed27a693c9dfa1'), 'cc.mai.300': ('cc.mai.300-4bc11fe3.npz', '4bc11fe3470e23c79ad5bc2a16283ede92857f9b'), 'cc.mg.300': ('cc.mg.300-2b644c0f.npz', '2b644c0fe3d32d89cf4a91a62b30a8cdf84eb69e'), 'cc.mhr.300': ('cc.mhr.300-f9216c88.npz', 'f9216c883afb62c0fd890f1df1f076fda48d534d'), 'cc.min.300': ('cc.min.300-0d8c3a77.npz', '0d8c3a7709acb9386c9bfb29294c56923e2fe160'), 'cc.mk.300': ('cc.mk.300-bf1caa91.npz', 'bf1caa91a2376a6e4cae5576e84c00bd7b4d53ea'), 'cc.ml.300': ('cc.ml.300-0c3baa74.npz', '0c3baa74f062367e00c2df09446480df4ef45b79'), 'cc.mn.300': ('cc.mn.300-4ce878ea.npz', '4ce878ea1e15afffefa257374a8e265bc26b9d19'), 'cc.mr.300': ('cc.mr.300-a9e08f9d.npz', 'a9e08f9d21627dc34318208aebb0b7a8f78aeb47'), 'cc.mrj.300': ('cc.mrj.300-1ebb04f1.npz', '1ebb04f175c1e115c77167222cbfc434474dbf11'), 'cc.ms.300': ('cc.ms.300-05216b2f.npz', '05216b2f3f76af940bd343135be243c8ed5f0de5'), 'cc.mt.300': ('cc.mt.300-2a3ba408.npz', '2a3ba408205f3552f432d97fca3de797aa086c62'), 'cc.mwl.300': ('cc.mwl.300-e758f2b4.npz', 'e758f2b42482ad9d1caf1d4f46f8873a61f6e0ce'), 'cc.my.300': ('cc.my.300-443b1674.npz', '443b16746ef8f23d64a397b21b1d0ae5707d1e5c'), 'cc.myv.300': ('cc.myv.300-67d19cef.npz', '67d19ceffa23cb376c309f9e985222579abb9ac1'), 'cc.mzn.300': ('cc.mzn.300-ce441f50.npz', 'ce441f50a28f0b1f02b47ee1608297750ef0cabd'), 'cc.nah.300': ('cc.nah.300-ba4c46c0.npz', 'ba4c46c0089109c65cfc25735c5000845345d56e'), 'cc.nap.300': ('cc.nap.300-489727c7.npz', '489727c7e8241f98c0c7049387a12a101f625226'), 'cc.nds.300': ('cc.nds.300-6265356d.npz', '6265356d5822372b15ca5103b5ef43f8b3ff4a1c'), 'cc.ne.300': ('cc.ne.300-6b66b354.npz', '6b66b3542ec091054c2735cb3358b349c8ca3a87'), 'cc.new.300': ('cc.new.300-f4747761.npz', 'f4747761d9827340fd8074a08e61769ab3a7cc11'), 'cc.nl.300': ('cc.nl.300-1867fc6d.npz', '1867fc6d6f466fb0d2f46623530c21f4c149197b'), 'cc.nn.300': ('cc.nn.300-3ce324ef.npz', '3ce324eff15cd595e81bb1882d23b7948772f400'), 'cc.no.300': ('cc.no.300-6e39d0d5.npz', '6e39d0d5e205c7106be0a601dbd59455f17c97e1'), 'cc.nso.300': ('cc.nso.300-90ba6fda.npz', '90ba6fdac1eb6d14d6de69b6a794a2a6194ea5a2'), 'cc.oc.300': ('cc.oc.300-c66e395b.npz', 'c66e395bce5ad97815b7273556b6225e72b76a0d'), 'cc.or.300': ('cc.or.300-8b14cde1.npz', '8b14cde1cee9858052430c9ecc6cfa8a16fcab39'), 'cc.os.300': ('cc.os.300-1a888846.npz', '1a8888460713455b33f9cd2ddd957a1afda6ce45'), 'cc.pa.300': ('cc.pa.300-185e0f43.npz', '185e0f4361f927fca6c0ff27cf8e1963d627041c'), 'cc.pam.300': ('cc.pam.300-9ac2a111.npz', '9ac2a1112ffbe96cc9ba226a4cc9331f696db6e9'), 'cc.pfl.300': ('cc.pfl.300-ca0cddb4.npz', 'ca0cddb47b061380b2522041d9472ca06240b92f'), 'cc.pl.300': ('cc.pl.300-98c4c23c.npz', '98c4c23c78824a3801d05f9d67a696f9fcc40683'), 'cc.pms.300': ('cc.pms.300-cbd33047.npz', 'cbd3304720df204b5c8ec576e3abf9306728f5d4'), 'cc.pnb.300': ('cc.pnb.300-66b69add.npz', '66b69addc40b633af8d06c7d5fd8066ac64c8a2c'), 'cc.ps.300': ('cc.ps.300-ce11c971.npz', 'ce11c97193ee28cdb53ed72c68b20465a607f957'), 'cc.pt.300': ('cc.pt.300-985866df.npz', '985866df8e19f52f410e6251b82e3bb4494b0d1d'), 'cc.qu.300': ('cc.qu.300-0ae2e211.npz', '0ae2e2111ee2e7aab1116b587fe302d86ab3641e'), 'cc.rm.300': ('cc.rm.300-b2367a7f.npz', 'b2367a7f72e26ab5a844b7d8483a455dc73e1994'), 'cc.ro.300': ('cc.ro.300-682eda30.npz', '682eda308c2a14041e71d0d0588dd17681294ec5'), 'cc.ru.300': ('cc.ru.300-0f9c3b90.npz', '0f9c3b905669e0f2a32196bc2a391fe2ef40f5a4'), 'cc.sa.300': ('cc.sa.300-1d0f5bfd.npz', '1d0f5bfdc3118f9ad77e704a7d808c9231cb13eb'), 'cc.sah.300': ('cc.sah.300-f8532800.npz', 'f85328005fd0d2f0f09cbdc24760b20180b537c4'), 'cc.sc.300': ('cc.sc.300-dcb4fb26.npz', 'dcb4fb26874067e449f609f9b2cd138b60606d33'), 'cc.scn.300': ('cc.scn.300-e72c5de7.npz', 'e72c5de7693efab12d6f9a6508c0a5fa8845bd04'), 'cc.sco.300': ('cc.sco.300-13d0662d.npz', '13d0662d930c18bf0c8dff7efc01219712d38351'), 'cc.sd.300': ('cc.sd.300-baf6b5af.npz', 'baf6b5afa56fd93d78175307b3d84dbad85d2710'), 'cc.sh.300': ('cc.sh.300-b6958a18.npz', 'b6958a18612551a7b325022fcbbdfa2637fb4411'), 'cc.si.300': ('cc.si.300-c846206f.npz', 'c846206fd77cdb5619752e3cb448dbcc0dac61b6'), 'cc.sk.300': ('cc.sk.300-4fc2be73.npz', '4fc2be73972027f55f88e288dc3c0ecb2a6fba42'), 'cc.sl.300': ('cc.sl.300-6b735538.npz', '6b7355380cee5320c42b1aa8d41226a562bc6407'), 'cc.so.300': ('cc.so.300-f09c2019.npz', 'f09c2019099cd0ae488810a26ceea3437c450711'), 'cc.sq.300': ('cc.sq.300-c55b576c.npz', 'c55b576c14d06489d6105a7a1d9126e181877030'), 'cc.sr.300': ('cc.sr.300-887cf83d.npz', '887cf83d9525573407f4206b268e6e3c31266403'), 'cc.su.300': ('cc.su.300-224e9974.npz', '224e99745371a890c6c944aae94d6c5d637876b5'), 'cc.sv.300': ('cc.sv.300-c5266ab8.npz', 'c5266ab8ee8a1c093b9437c6b598659c72dd1f7e'), 'cc.sw.300': ('cc.sw.300-829d1ca0.npz', '829d1ca09c78d52280497fd257883292b53e8bc7'), 'cc.ta.300': ('cc.ta.300-f8e9bee4.npz', 'f8e9bee4ea31e6952ff582855200ade217c11d9b'), 'cc.te.300': ('cc.te.300-19b7470c.npz', '19b7470cd59e6a67986267cf9171c6d02340c1d1'), 'cc.tg.300': ('cc.tg.300-069920da.npz', '069920da67fcaba58e2bd5f4bd505e3cd0b325ab'), 'cc.th.300': ('cc.th.300-17f28dd9.npz', '17f28dd9fabe987d6017ed4ed0897e3f01ab18a2'), 'cc.tk.300': ('cc.tk.300-ac4be8fe.npz', 'ac4be8fe39901913ac0ae5b9ec023ffdb2c4ccdd'), 'cc.tl.300': ('cc.tl.300-919ed791.npz', '919ed791c7cc2f7f1a214611fa12d32187f186c5'), 'cc.tr.300': ('cc.tr.300-cbd537c6.npz', 'cbd537c606cd41c6a90e2de71ad7dc2902e63363'), 'cc.tt.300': ('cc.tt.300-c38d9317.npz', 'c38d93176d6fa35658352bd74a0fb81e0edf3d3a'), 'cc.ug.300': ('cc.ug.300-d99daa00.npz', 'd99daa007459f8129508fdd3ffcab135083309d5'), 'cc.uk.300': ('cc.uk.300-a20e9dab.npz', 'a20e9dab63d727dc4c03a99caf66c8a194a2f96e'), 'cc.ur.300': ('cc.ur.300-57ca0636.npz', '57ca06364b7413195d75adda61c00f972ab1a43e'), 'cc.uz.300': ('cc.uz.300-0f2eef78.npz', '0f2eef78cc68f14a89b6b6a2d6ac4b6613d080e9'), 'cc.vec.300': ('cc.vec.300-c9bfa76a.npz', 'c9bfa76a5dc2787923f26ea314f3a5a957fcd00c'), 'cc.vi.300': ('cc.vi.300-44d740f4.npz', '44d740f4044cb2cd8d442327c17b99c359a8ca43'), 'cc.vls.300': ('cc.vls.300-08e7eaba.npz', '08e7eaba113d6084d1a25958165428486caf7d19'), 'cc.vo.300': ('cc.vo.300-792d3a79.npz', '792d3a7983bb4560d05932d1a2de35203c6b9479'), 'cc.wa.300': ('cc.wa.300-bfc87d4c.npz', 'bfc87d4c6738770afd3b9f0f5e7adccd79131a03'), 'cc.war.300': ('cc.war.300-d8a9082f.npz', 'd8a9082f98ebd8b312cafbc90c50a8ab421dc06b'), 'cc.xmf.300': ('cc.xmf.300-8bc1fdf1.npz', '8bc1fdf1db5f2716a2d6542c3ae6d5a4abbd2506'), 'cc.yi.300': ('cc.yi.300-33533193.npz', '33533193c9b710d2ca283e8978b83e3842ea8f5d'), 'cc.yo.300': ('cc.yo.300-9dc5edde.npz', '9dc5eddeee3354f3f587ecdca73caf01080c399d'), 'cc.zea.300': ('cc.zea.300-c0a4fb02.npz', 'c0a4fb025aab6774db52d6a845108f5cf8738508'), 'cc.zh.300': ('cc.zh.300-355cfcaf.npz', '355cfcafe71536226a1737aafb4530c9ba4fd09f'), } FAST_TEXT_BIN_SHA1 = { 'wiki-news-300d-1M-subword': ('wiki-news-300d-1M-subword-c8853bda.bin', 'c8853bdae00318097b6337c4631d342879d6b18c'), 'crawl-300d-2M-subword': ('crawl-300d-2M-subword-e6b07293f.bin', 'e6b07293f7b0095e3c72c2a12bc09464b69444b0'), 'cc.af.300': ('cc.af.300-33115ff8.bin', '33115ff8e4c8f439757c819399177f1f58f07f12'), 'cc.als.300': ('cc.als.300-d6579933.bin', 'd65799331a03895d68a3fbe7611b181d7e7cc916'), 'cc.am.300': ('cc.am.300-999b3e95.bin', '999b3e95a2c490d7fcab2a6e08074746303d3c17'), 'cc.an.300': ('cc.an.300-65f5c5b8.bin', '65f5c5b88d1c8181ce60aff4275d14e8a7c4ae53'), 'cc.ar.300': ('cc.ar.300-44333e53.bin', '44333e5344fe66e78322b05bf53d6047925097ee'), 'cc.arz.300': ('cc.arz.300-430f08ff.bin', '430f08ffc7f9391ed09c781fabc30baf568b8d47'), 'cc.as.300': ('cc.as.300-e85d59f6.bin', 'e85d59f6fe2e908b3caab3a8bc9bfd23d6885eb2'), 'cc.ast.300': ('cc.ast.300-4bdc4520.bin', '4bdc452067cc838e49a1544902941470ff685b12'), 'cc.az.300': ('cc.az.300-10a62cca.bin', '10a62cca45f99e977accd28912ee18c74332080e'), 'cc.azb.300': 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Python

rnc2rng/__init__.py

usfm-bible/rnc2rng

c70fbc1b11938af3e21ad275904e07d324b8ac08

[ "MIT" ]

14

2015-10-10T19:38:41.000Z

2020-05-20T08:32:11.000Z

rnc2rng/__init__.py

usfm-bible/rnc2rng

c70fbc1b11938af3e21ad275904e07d324b8ac08

[ "MIT" ]

36

2015-10-07T09:09:44.000Z

2022-01-05T07:24:29.000Z

rnc2rng/__init__.py

usfm-bible/rnc2rng

c70fbc1b11938af3e21ad275904e07d324b8ac08

[ "MIT" ]

14

2015-11-07T15:50:16.000Z

2022-02-23T03:04:58.000Z

from . import parser, serializer def load(f): return parser.parse(f=f) def loads(src): return parser.parse(src) def dump(root, f, indent=None): f.write(serializer.XMLSerializer(indent).toxml(root)) def dumps(root, indent=None): return serializer.XMLSerializer(indent).toxml(root)

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py

Python

PiAlgo/reverse_tan.py

Page-David/PiPy

d857c61b54909b9a18b354a66fa3093c0905cd4a

[ "MIT" ]

1

2017-01-25T09:06:01.000Z

PiAlgo/reverse_tan.py

Page-David/PiPy

d857c61b54909b9a18b354a66fa3093c0905cd4a

[ "MIT" ]

null

PiAlgo/reverse_tan.py

Page-David/PiPy

d857c61b54909b9a18b354a66fa3093c0905cd4a

[ "MIT" ]

null

#!/usr/bin/env python from mpmath import * def pi(digit): mp.dps = digit pi = 4*(12*atan(1/mpf('49')) + 32*atan(1/mpf('57')) - 5*atan(1/mpf('239')) + 12*atan(1/mpf('110443'))) return str(pi)

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Python

setup.py

EricSalomaki/PhyloFisher

982b0d1672d27c020021b5aea30def33d263a38d

[ "MIT" ]

null

setup.py

EricSalomaki/PhyloFisher

982b0d1672d27c020021b5aea30def33d263a38d

[ "MIT" ]

null

setup.py

EricSalomaki/PhyloFisher

982b0d1672d27c020021b5aea30def33d263a38d

[ "MIT" ]

null

from setuptools import setup, find_packages setup( name='phylofisher', version='1.1.0', packages=find_packages(), scripts={'phylofisher/fisher.py', 'phylofisher/config.py', 'phylofisher/working_dataset_constructor.py', 'phylofisher/forest.py', 'phylofisher/matrix_constructor.py', 'phylofisher/informant.py', 'phylofisher/apply_to_db.py', 'phylofisher/install_deps.py', 'phylofisher/select_taxa.py', 'phylofisher/select_orthologs.py', 'phylofisher/sgt_constructor.py', 'phylofisher/sgt_constructor.smk', 'phylofisher/prep_final_dataset.py', 'phylofisher/utilities/purge.py', 'phylofisher/utilities/build_database.py', 'phylofisher/utilities/fast_site_remover.py', 'phylofisher/utilities/mammal_modeler.py', 'phylofisher/utilities/bipartition_examiner.py', 'phylofisher/utilities/fast_taxa_remover.py', 'phylofisher/utilities/aa_comp_calculator.py', 'phylofisher/utilities/SR4_class_recoder.py', 'phylofisher/utilities/taxon_collapser.py', 'phylofisher/utilities/genetic_code_examiner.py', 'phylofisher/utilities/heterotachy.py', 'phylofisher/utilities/random_resampler.py', 'phylofisher/utilities/astral_runner.py', 'phylofisher/utilities/rtc_binner.py', 'phylofisher/utilities/backup_restoration.py', 'phylofisher/utilities/explore_database.py' }, python_requires='==3.7.10', install_requires=['biopython==1.78', 'pyqt5==5.12.3', 'ete3==3.1.2', 'pandas==1.2.4', 'matplotlib==3.4.1', 'scipy==1.6.2', 'numpy==1.21.0' ], url='https://github.com/TheBrownLab/PhyloFisher', license='MIT', author='David Zihala', author_email='zihaladavid@gmail.com', description='PhyloFisher is a software package for the creation, analysis, and visualization of phylogenomic ' 'datasets that consist of protein sequences from eukaryotic organisms.' )

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98d8df75b65a28c9f1c6df635648f223c1d99e63

75

py

Python

puzzle/exceptions/__init__.py

robinandeer/puzzle

9476f05b416d3a5135d25492cb31411fdf831c58

[ "MIT" ]

24

2015-10-15T16:29:58.000Z

2020-12-08T22:14:13.000Z

puzzle/exceptions/__init__.py

robinandeer/puzzle

9476f05b416d3a5135d25492cb31411fdf831c58

[ "MIT" ]

212

2015-10-08T14:28:36.000Z

2020-04-29T22:44:10.000Z

puzzle/exceptions/__init__.py

robinandeer/puzzle

9476f05b416d3a5135d25492cb31411fdf831c58

[ "MIT" ]

11

2015-10-08T09:26:46.000Z

2018-02-02T16:45:07.000Z

from __future__ import absolute_import from .database import DatabaseError

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98eddc9a2ecc867157b823f78548f3f78341bba7

20,038

py

Python

models.py

justinlovelace/robust-kg-completion

80b9b66217912502279ba87a31a7f67d4a909169

[ "Apache-2.0" ]

6

2021-06-19T02:15:21.000Z

2022-01-20T17:03:42.000Z

models.py

justinlovelace/robust-kg-completion

80b9b66217912502279ba87a31a7f67d4a909169

[ "Apache-2.0" ]

1

2021-07-08T06:59:13.000Z

2021-07-08T07:14:57.000Z

models.py

justinlovelace/robust-kg-completion

80b9b66217912502279ba87a31a7f67d4a909169

[ "Apache-2.0" ]

4

2021-06-19T02:15:24.000Z

2022-03-28T18:51:53.000Z

import json import torch import math import torch.nn as nn import torch.nn.functional as F from torch.nn.parameter import Parameter from torch.nn.init import xavier_normal_ import sys from CONSTANTS import DATA_DIR import os import math torch.backends.cudnn.deterministic = True torch.backends.cudnn.enabled = True class DistMult(nn.Module): def __init__(self, args): super(DistMult, self).__init__() self.ent_embedding = torch.nn.Embedding( args.num_entities, args.embedding_dim) self.rel_embedding = torch.nn.Embedding( args.num_relations, args.embedding_dim) self.inp_drop = torch.nn.Dropout(args.input_dropout) self.init() def init(self): xavier_normal_(self.rel_embedding.weight.data) xavier_normal_(self.ent_embedding.weight.data) def query_emb(self, e1, rel): e1_embedded = self.ent_embedding(e1) e1_embedded = self.inp_drop(e1_embedded) rel_embedded = self.rel_embedding(rel) rel_embedded = self.inp_drop(rel_embedded) return e1_embedded.mul(rel_embedded) def forward(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) scores = torch.mm(x, self.ent_embedding.weight.t()) return scores class Complex(torch.nn.Module): def __init__(self, args): super(Complex, self).__init__() self.emb_e_real = torch.nn.Embedding( args.num_entities, args.embedding_dim) self.emb_e_img = torch.nn.Embedding( args.num_entities, args.embedding_dim) self.emb_rel_real = torch.nn.Embedding( args.num_entities, args.embedding_dim) self.emb_rel_img = torch.nn.Embedding( args.num_entities, args.embedding_dim) self.inp_drop = torch.nn.Dropout(args.input_dropout) self.init() def init(self): xavier_normal_(self.emb_e_real.weight.data) xavier_normal_(self.emb_e_img.weight.data) xavier_normal_(self.emb_rel_real.weight.data) xavier_normal_(self.emb_rel_img.weight.data) def query_emb(self, e1, rel): e1_embedded_real = self.emb_e_real(e1).squeeze() rel_embedded_real = self.emb_rel_real(rel).squeeze() e1_embedded_img = self.emb_e_img(e1).squeeze() rel_embedded_img = self.emb_rel_img(rel).squeeze() e1_embedded_real = self.inp_drop(e1_embedded_real) rel_embedded_real = self.inp_drop(rel_embedded_real) e1_embedded_img = self.inp_drop(e1_embedded_img) rel_embedded_img = self.inp_drop(rel_embedded_img) return e1_embedded_real*rel_embedded_real, e1_embedded_real*rel_embedded_img, e1_embedded_img*rel_embedded_real, e1_embedded_img*rel_embedded_img def forward(self, queries): e1 = queries[:, 0] rel = queries[:, 1] realreal, realimg, imgreal, imgimg = self.query_emb(e1, rel) # complex space bilinear product (equivalent to HolE) realrealreal = torch.mm( realreal, self.emb_e_real.weight.transpose(1, 0)) realimgimg = torch.mm(realimg, self.emb_e_img.weight.transpose(1, 0)) imgrealimg = torch.mm(imgreal, self.emb_e_img.weight.transpose(1, 0)) imgimgreal = torch.mm(imgimg, self.emb_e_real.weight.transpose(1, 0)) pred = realrealreal + realimgimg + imgrealimg - imgimgreal return pred class ConvE(torch.nn.Module): def __init__(self, args): super(ConvE, self).__init__() if 'Bert' in args.model: self.prelu = torch.nn.PReLU(args.embedding_dim) self.emb_dim1 = 12 self.emb_dim2 = args.embedding_dim // self.emb_dim1 else: self.emb_dim1 = 10 self.emb_dim2 = math.ceil(args.embedding_dim / self.emb_dim1) args.embedding_dim = self.emb_dim1 * self.emb_dim2 self.ent_embedding = torch.nn.Embedding( args.num_entities, args.embedding_dim) self.rel_embedding = torch.nn.Embedding( args.num_relations, args.embedding_dim) self.inp_drop = torch.nn.Dropout(args.input_dropout) self.hidden_drop = torch.nn.Dropout(args.dropout) self.feature_map_drop = torch.nn.Dropout2d(args.feature_map_dropout) self.conv1 = torch.nn.Conv2d(1, args.channels, (3, 3), 1, 0) self.bn0 = torch.nn.BatchNorm2d(1) self.bn1 = torch.nn.BatchNorm2d(args.channels) self.bn2 = torch.nn.BatchNorm1d(args.embedding_dim) self.register_parameter('b', Parameter(torch.zeros(args.num_entities))) assert self.emb_dim1 * self.emb_dim2 == args.embedding_dim # Total number of features produced by the convolution fc_dim = (self.emb_dim1*2-2)*(self.emb_dim2-2)*args.channels self.fc = torch.nn.Linear(fc_dim, args.embedding_dim) self.init() self.args = args def init(self): xavier_normal_(self.ent_embedding.weight.data) xavier_normal_(self.rel_embedding.weight.data) def query_emb(self, e1, rel): batch_size = e1.shape[0] e1_embedded = self.ent_embedding( e1).view(-1, 1, self.emb_dim1, self.emb_dim2) rel_embedded = self.rel_embedding( rel).view(-1, 1, self.emb_dim1, self.emb_dim2) stacked_inputs = torch.cat([e1_embedded, rel_embedded], 2) stacked_inputs = self.bn0(stacked_inputs) x = self.inp_drop(stacked_inputs) x = self.conv1(x) x = self.bn1(x) x = F.relu(x) x = self.feature_map_drop(x) x = x.view(batch_size, -1) x = self.fc(x) x = self.hidden_drop(x) if 'Bert' in self.args.model: x = self.prelu(x) else: x = self.bn2(x) x = F.relu(x) return x def forward(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) scores = torch.mm(x, self.ent_embedding.weight.t()) scores += self.b.expand_as(scores) return scores def compute_scores(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) scores = torch.mm(x, self.ent_embedding.weight.t()) scores += self.b.expand_as(scores) return scores class ConvTransE(nn.Module): def __init__(self, args): super(ConvTransE, self).__init__() self.ent_embedding = torch.nn.Embedding( args.num_entities, args.embedding_dim) self.rel_embedding = torch.nn.Embedding( args.num_relations, args.embedding_dim) self.inp_drop = torch.nn.Dropout(args.input_dropout) self.hidden_drop = torch.nn.Dropout(args.dropout) self.feature_map_drop = torch.nn.Dropout2d(args.feature_map_dropout) kernel_size = 5 self.channels = args.channels self.conv1 = nn.Conv1d(2, self.channels, kernel_size, stride=1, padding=int(math.floor(kernel_size/2))) self.register_parameter('b', Parameter(torch.zeros(args.num_entities))) self.bn0 = torch.nn.BatchNorm1d(2) self.bn1 = torch.nn.BatchNorm1d(self.channels) self.bn2 = torch.nn.BatchNorm1d(args.embedding_dim) self.fc = torch.nn.Linear( self.channels * args.embedding_dim, args.embedding_dim) self.init() if 'Bert' in args.model: self.prelu = torch.nn.PReLU(args.embedding_dim) self.args = args def init(self): xavier_normal_(self.ent_embedding.weight.data) xavier_normal_(self.rel_embedding.weight.data) def query_emb(self, e1, rel): batch_size = e1.shape[0] e1_embedded = self.ent_embedding(e1) rel_embedded = self.rel_embedding(rel) e1_embedded = e1_embedded.unsqueeze(1) rel_embedded = rel_embedded.unsqueeze(1) stacked_inputs = torch.cat([e1_embedded, rel_embedded], 1) stacked_inputs = self.bn0(stacked_inputs) x = self.inp_drop(stacked_inputs) x = self.conv1(x) x = self.bn1(x) x = F.relu(x) x = self.feature_map_drop(x) x = x.view(batch_size, -1) x = self.fc(x) x = self.hidden_drop(x) if 'Bert' in self.args.model: x = self.prelu(x) else: x = self.bn2(x) x = F.relu(x) return x def forward(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) scores = torch.mm(x, self.ent_embedding.weight.t()) scores += self.b.expand_as(scores) return scores def compute_scores(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) scores = torch.mm(x, self.ent_embedding.weight.t()) scores += self.b.expand_as(scores) return scores class PretrainedBertConvTransE(nn.Module): def __init__(self, args): super(PretrainedBertConvTransE, self).__init__() file_path = os.path.join( DATA_DIR[args.dataset], f'{args.bert_model}_{args.bert_pool}.pt') embedding = torch.load(file_path) args.embedding_dim = embedding.shape[1] self.model = ConvTransE(args) self.model.ent_embedding = nn.Embedding.from_pretrained(embedding) def forward(self, queries): return self.model.forward(queries) def compute_scores(self, queries): return self.model.compute_scores(queries) class PretrainedBertConvE(nn.Module): def __init__(self, args): super(PretrainedBertConvE, self).__init__() file_path = os.path.join( DATA_DIR[args.dataset], f'{args.bert_model}_{args.bert_pool}.pt') embedding = torch.load(file_path) args.embedding_dim = embedding.shape[1] self.model = ConvE(args) self.model.ent_embedding = nn.Embedding.from_pretrained(embedding) def forward(self, queries): return self.model.forward(queries) def compute_scores(self, queries): return self.model.compute_scores(queries) class ConvBlock(nn.Module): def __init__(self, args, input_dim, output_dim, stride=1): super(ConvBlock, self).__init__() self.conv = nn.Conv2d( input_dim, output_dim, (3, 3), padding=1, padding_mode='circular') self.feature_map_drop = torch.nn.Dropout2d(args.feature_map_dropout) self.bn = torch.nn.BatchNorm2d(input_dim) def forward(self, features): x = self.bn(features) x = F.relu(x) x = self.feature_map_drop(x) x = self.conv(x) return x class BottleneckBlock(nn.Module): def __init__(self, args, input_dim, int_dim, output_dim, stride=1): super(BottleneckBlock, self).__init__() self.conv1 = nn.Conv2d(input_dim, int_dim, (1, 1), stride=stride) self.conv2 = nn.Conv2d( int_dim, int_dim, (3, 3), padding=1, padding_mode='circular') self.conv3 = nn.Conv2d(int_dim, output_dim, (1, 1)) self.feature_map_drop = torch.nn.Dropout2d(args.feature_map_dropout) self.bn1 = torch.nn.BatchNorm2d(input_dim) self.bn2 = torch.nn.BatchNorm2d(int_dim) self.bn3 = torch.nn.BatchNorm2d(int_dim) if input_dim != output_dim: self.proj_shortcut = nn.Conv2d( input_dim, output_dim, (1, 1), stride=stride) else: self.proj_shortcut = None def init(self): xavier_normal_(self.rel_embedding.weight.data) def forward(self, features): x = self.bn1(features) x = F.relu(x) if self.proj_shortcut: features = self.proj_shortcut(features) x = self.feature_map_drop(x) x = self.conv1(x) x = self.bn2(x) x = F.relu(x) x = self.feature_map_drop(x) x = self.conv2(x) x = self.bn3(x) x = F.relu(x) x = self.feature_map_drop(x) x = self.conv3(x) return x + features class PretrainedBertResNet(nn.Module): def __init__(self, args): super(PretrainedBertResNet, self).__init__() args.embedding_dim = 768 file_path = os.path.join( DATA_DIR[args.dataset], 'bert_emb.pt') embedding = torch.load(file_path) args.embedding_dim = embedding.shape[1] self.ent_embedding = nn.Embedding.from_pretrained(embedding) self.rel_embedding = torch.nn.Embedding( args.num_relations, args.embedding_dim) self.reshape_len = args.reshape_len self.conv1 = nn.Conv1d(2, self.reshape_len**2, kernel_size=1) bottlenecks = [] input_dim = args.embedding_dim output_dim = args.embedding_dim for i in range(args.resnet_num_blocks): if i == 0: bottlenecks.extend([BottleneckBlock( args, input_dim, output_dim//4, output_dim) for _ in range(args.resnet_block_depth)]) else: bottlenecks.append(BottleneckBlock( args, input_dim, output_dim//4, output_dim, stride=1)) input_dim = output_dim bottlenecks.extend([BottleneckBlock( args, input_dim, output_dim//4, output_dim) for _ in range(min(args.resnet_block_depth, 2)-1)]) output_dim *= 2 self.output_dim = output_dim//2 self.bottlenecks = nn.Sequential(*bottlenecks) self.inp_drop = torch.nn.Dropout(args.input_dropout) self.hidden_drop = torch.nn.Dropout(args.dropout) self.feature_map_drop = torch.nn.Dropout2d(args.feature_map_dropout) self.register_parameter('b', Parameter(torch.zeros(args.num_entities))) self.fc = nn.Linear(self.output_dim, args.embedding_dim) self.bn0 = torch.nn.BatchNorm1d(2) self.bn1 = torch.nn.BatchNorm2d(self.output_dim) self.bn2 = torch.nn.BatchNorm2d(args.embedding_dim) self.bn3 = torch.nn.BatchNorm2d(args.embedding_dim) self.args = args self.init() self.prelu = torch.nn.PReLU(args.embedding_dim) def init(self): xavier_normal_(self.rel_embedding.weight) def query_emb(self, e1, rel): batch_size = e1.shape[0] ent_embedded = self.ent_embedding(e1).unsqueeze(1) rel_embedded = self.rel_embedding(rel).unsqueeze(1) stacked_inputs = torch.cat( [ent_embedded, rel_embedded], 1) x = self.bn0(stacked_inputs) x = self.inp_drop(x) x = self.conv1(x) x = torch.transpose(x, 1, 2).view( batch_size, self.args.embedding_dim, self.reshape_len, self.reshape_len).contiguous() x = self.bottlenecks(x) x = self.bn1(x) x = F.relu(x) x = torch.mean(x.view(batch_size, self.output_dim, -1), dim=2) x = self.hidden_drop(x) x = self.fc(x) x = self.prelu(x) x = self.hidden_drop(x) return x def forward(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) scores = torch.mm(x, self.ent_embedding.weight.t()) scores += self.b.expand_as(scores) return scores def compute_scores(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) if self.args.bert_model == 'none' or self.args.bert_layer_comb == 'none': scores = torch.mm(x, self.ent_embedding.weight.t()) else: scores = torch.mm(x, self.ent_embedding.get_transposed_weight()) scores += self.b.expand_as(scores) return scores class PretrainedBertDeepConv(nn.Module): def __init__(self, args): super(PretrainedBertDeepConv, self).__init__() file_path = os.path.join( DATA_DIR[args.dataset], 'bert_emb.pt') embedding = torch.load(file_path) args.embedding_dim = embedding.shape[1] self.ent_embedding = nn.Embedding.from_pretrained(embedding) self.rel_embedding = torch.nn.Embedding( args.num_relations, args.embedding_dim) self.reshape_len = args.reshape_len self.conv1 = nn.Conv1d(2, self.reshape_len**2, kernel_size=1) conv_blocks = [] # input_dim = args.embedding_dim # output_dim = args.embedding_dim conv_blocks = [ConvBlock(args, args.embedding_dim, args.embedding_dim), ConvBlock(args, args.embedding_dim, 2*args.embedding_dim), ConvBlock(args, 2*args.embedding_dim, 2*args.embedding_dim), ] self.output_dim = args.embedding_dim*2 self.conv_blocks = nn.Sequential(*conv_blocks) # self.conv_final = nn.Conv2d(self.output_dim, 768, (1,1)) self.inp_drop = torch.nn.Dropout(args.input_dropout) self.hidden_drop = torch.nn.Dropout(args.dropout) self.feature_map_drop = torch.nn.Dropout2d(args.feature_map_dropout) self.register_parameter('b', Parameter(torch.zeros(args.num_entities))) self.fc = nn.Linear(self.output_dim, args.embedding_dim) # self.fc = nn.Linear(self.output_dim*(self.reshape_len**2), args.embedding_dim) # self.bn0 = torch.nn.GroupNorm(2, 2) self.bn0 = torch.nn.BatchNorm1d(2) if args.gn: self.bn1 = torch.nn.GroupNorm(32, self.output_dim) self.bn2 = torch.nn.GroupNorm(32, args.embedding_dim) self.bn3 = torch.nn.GroupNorm(32, args.embedding_dim) else: self.bn1 = torch.nn.BatchNorm2d(self.output_dim) self.bn2 = torch.nn.BatchNorm2d(args.embedding_dim) self.bn3 = torch.nn.BatchNorm2d(args.embedding_dim) self.args = args self.init() self.prelu = torch.nn.PReLU(args.embedding_dim) def init(self): if self.args.bert_model == 'none': xavier_normal_(self.ent_embedding.weight) xavier_normal_(self.rel_embedding.weight) def query_emb(self, e1, rel): batch_size = e1.shape[0] ent_embedded = self.ent_embedding(e1).unsqueeze(1) rel_embedded = self.rel_embedding(rel).unsqueeze(1) stacked_inputs = torch.cat( [ent_embedded, rel_embedded], 1) x = self.bn0(stacked_inputs) x = self.inp_drop(x) x = self.conv1(x) x = torch.transpose(x, 1, 2).view( batch_size, self.args.embedding_dim, self.reshape_len, self.reshape_len).contiguous() x = self.conv_blocks(x) x = self.bn1(x) x = F.relu(x) # x = self.conv_final(x) # x = self.bn2(x) # x = F.relu(x) # x = torch.mean(x.view(batch_size, 768, -1), dim=2) # x = self.hidden_drop(x) x = torch.mean(x.view(batch_size, self.output_dim, -1), dim=2) x = self.hidden_drop(x) x = self.fc(x) # x = x.view(batch_size, -1) # x = self.hidden_drop(x) # x = self.fc(x) x = self.prelu(x) x = self.hidden_drop(x) return x def forward(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) if self.args.bert_model == 'none' or self.args.bert_layer_comb == 'none': scores = torch.mm(x, self.ent_embedding.weight.t()) else: scores = torch.mm(x, self.ent_embedding.get_transposed_weight()) scores += self.b.expand_as(scores) return scores def compute_scores(self, queries): e1 = queries[:, 0] rel = queries[:, 1] x = self.query_emb(e1, rel) if self.args.bert_model == 'none' or self.args.bert_layer_comb == 'none': scores = torch.mm(x, self.ent_embedding.weight.t()) else: scores = torch.mm(x, self.ent_embedding.get_transposed_weight()) scores += self.b.expand_as(scores) return scores

33.677311

153

0.619423

2,692

20,038

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0.069837

0.03047

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0.054168

0.82336

0.78942

0.717901

0.674989

0.645028

0.626492

0

0.019815

0.264597

20,038

594

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33.734007

0.781963

0.026599

0

0.680272

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0.088435

false

0

0.024943

0.00907

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0

null

0

1

0

1

0

null

0

4

c71000ee5779d96776f1a95cff77032923be5a6b

270

py

Python

todoism/blueprints/home.py

zyitst/todosim2

963b6cb84f1c079b2846efe6869e1daaba0954c1

[ "MIT" ]

null

todoism/blueprints/home.py

zyitst/todosim2

963b6cb84f1c079b2846efe6869e1daaba0954c1

[ "MIT" ]

null

todoism/blueprints/home.py

zyitst/todosim2

963b6cb84f1c079b2846efe6869e1daaba0954c1

[ "MIT" ]

null

from flask import render_template from flask.blueprints import Blueprint home_bp = Blueprint('home', __name__) @home_bp.route('/') def index(): return render_template('index.html') @home_bp.route('/intro') def intro(): return render_template('_intro.html')

18

41

0.733333

36

270

5.194444

0.444444

0.224599

0.117647

0

0.12963

270

14

42

19.285714

0.795745

0

0.118519

0

1

0.222222

false

0

0.222222

0.666667

0.222222

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Lib/site-packages/stripe/api_resources/balance.py

nemarugommula/ecommerce

60185e79655fbaf0fcad9e877a886fe9eb3c4451

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2019-09-05T18:40:53.000Z

2022-03-10T22:00:57.000Z

Lib/site-packages/stripe/api_resources/balance.py

nemarugommula/ecommerce

60185e79655fbaf0fcad9e877a886fe9eb3c4451

[ "bzip2-1.0.6" ]

14

2020-10-03T07:24:50.000Z

2021-04-11T14:45:31.000Z

Lib/site-packages/stripe/api_resources/balance.py

nemarugommula/ecommerce

60185e79655fbaf0fcad9e877a886fe9eb3c4451

[ "bzip2-1.0.6" ]

20

2020-10-03T09:49:24.000Z

2021-11-25T08:48:30.000Z

from __future__ import absolute_import, division, print_function from stripe.api_resources.abstract import SingletonAPIResource class Balance(SingletonAPIResource): OBJECT_NAME = "balance"

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